European Journal of Molecular & Clinical Medicine

The proficient planning of materials procurement & storage on construction sites might lead to important developments in project profitability &construction productivity. The current surveys concentrate on storage layout &material procurement as 2 discrete planning tasks without deliberating their mutual & difficult interdependencies. The current work reports the improvement of novel optimization method for construction logistics design, which will be able of concurrently optimizing & integrating the difficult planning decisions of material storage & procurement on construction sites. The method uses EOQ to diminish construction logistics prices, which cover stock-out, material ordering, financing, and prices of layout. The method includes newly established procedures to assessment influence of probable material shortages on-site due to late delivery on stock-out costs &project delays.

Concrete will be utilized as the main substance in construction field. As the populace of world increment promptly, worldsfacesissuefor waste by product. As waste will be proportional to people&thereisaconstraint of environmental assets utilized in concrete, this field of construction require few attention to utilize few other substances, thus they might be mix in concrete to obtain novel product that physical assetshave similar as conventional. Each year there will be numerousloads of waste glasses generatedin whole world. The waste glass (WG) might be re-utilized as raw material &it introduces an opportunity to protectnon-renewable substances&theenvironment. The utilization of WG powder in concrete production might make construction filed more ecological WG material is replaced with aggregate in numerous percentages like10,20, 30 and40%. The outcomes mentioned that on 20% replacement of waste glass material into aggregate for M30 grade concrete the compressive strength detected is higher than target mean CS of normal M30 grade concrete.

The utilization of recycled materials in concrete is attractive for decreasing the consumption &waste of natural resources. The geo-polymer will be inorganic binder materials that as developed as alternate to conventional cement binders for concrete field. The geo-polymer concrete (GPC) will be established with the use of source materials such as sodium silicate, flyash, & alkaline activator sodium hydroxide, &cured at elevated temperature. An attempt was made to create GPC utilizing inappropriate mix of industrial waste materials such as flyash, glass powder and aggregates, & ground granulated blast furnace slag (GGBS). In current work, effort has been made to survey the usage effect of glass powder as incomplete replacement of flyash (FA) and GGBS based GPC. The flyash in GPC was exchanged by glass powder in range of 5 to 20% with an increase of 5%. It is noticed that 10% replacement of FA by GP provided maximum 28 days strength. The simulation outcomes depicted that replacement of GP & FA by numerous GGBS percentages resulted in increment of split tensile, compressive, flexural strength of FA based GPC up to 15% and thereafter there will be a reduction in strength values. Therefore, the outcomes of strength experiments on GPC cubes cured &prepared at 600C temperature at 48 hours only specify the improve men attained consistent to nominated optimum replacement of FA by GGBS glass powder. Therefore, the main industrial wastes like GP, FA, &GGBS is discover to be possible in production of novel sustainable green construction material of reasonable good strength.

Red mud is a waste material generated at aluminum refinery in the whole world. It is produced in alumina production from bauxite in the Bayer procedure. The production of red mud depends on the raw material processed, generally,1-2.5 tons of red mud will be produced from3-5tonsofbauxitetoproduce1ton of alumina. Most alumina refineries have the problem of disposal of red mud as it has high PH and alkaline in nature. The red mud will be prepared as semi-dry or dry material in bauxite mines. The untreated red mudhashigh PH(usually 11-13) that plant developmentwill be difficult and this poses very disturbing &serious environmental issues. After many studies of a research paper, it has been found that the red mud has cementations properties that may use as cementations material.

Concrete will be much sturdy and multipurpose moldable construction material. It is composed of sand, cement,and aggregate mixed with water. The water &cement together create a mixture that covers the aggregate & sand. The cement sector is the3rdbiggest industrial source of pollution emitting over 500,000 tons per annum of CO2, sulphur dioxide, oxide, and carbon monoxide gas. Researchers all over the world have started giving their best effort on the extension of incomplete supplementation of normal Port-land cement with minerals by naturally occurring, manufactured, or manmade waste. Numerouskindsof pozzolanic materials fly ash, metakaolin, silica fume, blast furnace slag, etc. are at hand that have cementitious properties. Mixing these materials with normal“Portland cement” might enhance the mechanical & cement properties of cement. Now a day, metakaolinutilization will be developing high popularity in incompletecementreplacement because of its fineness in enhancing numerous factors &strengths of concrete &mortars. Well in several types of research it has been seen that further addition of fibers (natural or man-made) increases concretes structural integrity. Fibers are small pieces providing reinforcement and certain other properties; they might be flat or circular. The fiber will be frequently defined by a suited factornamed aspect ratio. The fiber aspect ratio will be fiber length ratio to diameter.

Framework security is of basic disturbed now days for broad setup. The interference area systems (IDS) are getting the chance to be fundamental for palatable confirmation against ambushes that are reliably changing in result and multifaceted nature. With data devotion, acknowledgment and accessibility, they ought to be reliable, easy to control and by low conservation cost. Diverse alteration is associated with IDS routinely to depict new strikes and finger them. Present paper recommends a soft inherited figuring (SIF) for intrusion area. The SIF structure is a soft classifier, whose learning curved, be shown as a feathery rule, for instance, expecting by then and overhauled by an intrinsic count. The technique is accepted on the model KDD'99 interference instructive file and associated by enduring limit available in the composition. The consequences are solid and show the upsides of the recommended getting to

Since the advent of cloud its has become a efficient platform for sharing data for big enterprises, companies, startups and individuals. Cloud has allowed multiple users to collaborate on data. A certain level of security is desired by the cloud users while sharing data. Data owners would want to store their data on the cloud while preserving confidentiality and would want to allow access or provide decryption details to the users he wants to share data with along with the ability to revoke that access ant any given time. In this paper the system proposed uses broadcast encryption to encrypt the data while using the cloud resources efficiently by reducing the overhead caused in the Key Aggregate Cryptosystem (KAC).

Here appearance of wicked apps is a severe hazard to the Android proposal. The majority forms of community interfaces primarily based at the integrated features pinch client personal facts and start the assault operations. Here we advise an efficient and routine fault recognition technique utilizing the textual content semantics of community site visitors. In exacting we believe every HTTP run produced by way of cellular phone apps as a content file that may be developed by way of usual language dispensation to remove textual content-level functions. Later, the usage of community visitors is utilized to generate a beneficial fault recognition representation. We study the visitors go together with the glide header the use of N-gram technique by the Natural language processing (NLP). So we endorse an automatic characteristic choice based approach on chi-square take a look at to discover meaningful capabilities. It is used to decide whether there’s a considerable association between the 2 variables. We advise a novel solution to carry out fault identifying the usage of NLP strategies by extravagance mobile traffic as papers. We practice an automatic characteristic choice set of rules based on N-gram sequence to acquire meaningful functions from the semantics of visitor’s flows. Our system methods can screen some fault software’s to prevent the finding of the antiviral scanners and we layout a finding machine to drive traffic in own-institutional employer system, home community, and 3G/4G cell community. Integrating the device linked to the pc to find suspicious network behaviors.

Recommendation systems, that recommend products to customers for becoming a significant solution requires a lot of investigation. Current recommender systems will recommend products in online, but in some application fields, such as at shopping malls, online recommending system will not work. So, we recommend a facial recognition integrated recommender system to compact by the recommending products for customers at a venin store, shopping malls. Assessment result shows that this framework makes suggestion well indeed. Recommender frameworks are utilized in a collection of regions and are mainly generally professed as playlist originator for video and music organizing like Netflix, YouTube and prime videos, item recommenders for organizers as Amazon, or flip cart for internet based life stages including Face book and Twitter.

A block chain is a digitized, dispersed, open proof of all cryptographic cash managing. Continually ascending as 'completed' ruins (the most recent dealings) are recorded and added to it in consecutive solicitation; it grants feature individuals to screen modernized money dealings without central record keeping. Each hub (a PC related with the framework) gets a copy of the square chain, which is downloaded thus. At first made as the accounting technique for the virtual money Bit coin, square binds – which use to known as appropriated record advancement (DLT) – are appearing in a combination of business applications today. Starting at now, the development is mainly used to check dealings, inside cutting edge financial structures anyway it is possible to digitize code and supplement basically any report into the square chain. Doing so makes a perpetual record that can't be changed; also, the records believable can be affirmed by the entire system using the block chain rather than a solitary concentrated power.
Block Chain alters apparent, shared computerized record that records dealings in an open or private distributed system. Dispersed to all part nodes in the system, the record for all time records, in a successive chain of cryptographic hash-connected hinders, the historical backdrop of benefit trades that occur between the friends in the system. All the affirmed and approved dealings blocks are connected and tied from the earliest starting point of the chain to the most current block, thus the name block chain. The block chain in this manner goes about as a solitary wellspring of truth, and individuals in a block chain system can see just those dealings that are related to them

The agriculture plays a prevailing job in the development of the nation's economy. Atmosphere and other natural changes has become a significant danger in the agribusiness field. AI is a fundamental methodology for accomplishing viable and viable answers for this issue. Harvest Prediction includes anticipating the best output from accessible authentic information like climate parameters and soil parameters. This recommender system uses real time data as input to the machine learning. The sensors collect data from the soil and send that data to the cloud (firebase). Then the machine learning model retrieves that data and predicts the best crop and sends that crop to the cloud. We develop an android application which retrieves the sensor values from the cloud and displays them. This forecasting facilitates the farmer to forecast the best crop earlier than cultivating onto the agriculture field, which in turn increases the productivity.

Now a day’s people are mostly affected by tumors. so, the major intend of this paper is to identify the tumor in a body and detecting the nearest area effected and that will be done by using machine learning with region-based energetic contour model, region based active contour model is efficient in dividing images by badly distinct boundaries but frequently not succeed while functional image surrounding intensity in homogeneity. Machine learning approaches are extremely efficient in conducting the homogeneity, but frequently consequences in noises from miss confidential pixels. Therefore, proposed system point out the integration of the machine learning region based active contour of the k-nearest neighbors and the support vector machine with the chanvese technique, and by comparing this result with the traditional technique of chan-vese technique. Better exactness, velocity and less compassion to constraint tuning which are being observed in this paper.

In this research, the advanced encryption mechanism is discussed to secure big data in cloud computing. The services of Cloud computing are used on broad level because these services are Platform independent. Cloud computing eliminates the need to set specific software on system of user. To improve the security of cloud, the concept of Advanced Encryption Standard (AES) with Intrusion Detection System (IDS) method is integrated here. It is capable to offer the protection according to demands. It also enlarges the overall time period of the network. It is made to decrease the power utilization by the node. For optimum the local node network is differentiated into little zones. In addition, the algorithm for encoding is mentioned which is used to make encryption with Advanced Encryption Standard (AES).

Interruption detection is a basic problem in network safety, for ensuring network assets. In this manner a precise method of distinguishing interruptions works to provide confirmation for data in any association moreover open or personal. The fundamental purpose is to build the recognition rate and lessen the bogus alert rate. Given that active Intrusion Detection Systems (IDSs) utilize all the highlights to distinguish recognized as interruptions, they accomplish discouraged outcomes. We have projected a technical Feature Study based Support Vector Machine (FA-SVM) for creating effective IDS by utilizing well known factual strategy known as Feature Study (FA) throughout the highlights are broke down as variables. To plan increasingly viable and effective IDSs it is basic to choose the greatest classifiers. In this manner we utilized Support Vector Machines (SVMs) has sufficient by elevated speculation capacity. Present work completed on information revelation and information digging cup dataset for directing tests. The exhibition of this methodology was examined and contrasted and existing methodologies like Principal Component Study (PCA) utilizing SVM and furthermore arrangement by SVM that does not include choice. The outcomes demonstrated that the projected strategy improves the interruption recognition and beats active methodologies consequently displaying computationally proficient IDS by least fault optimistic charge.

Road traffic rapidity forecasting may be a testing problem done intelligent transport system (ITS) and need picked up expanding attentions. Existing meets expectations would principally In light of crude rapidity sensing data gotten from framework sensors or explored vehicles that are restricted Toward unreasonable cosset for sensor sending And upkeep. With meagre pace observations, accepted routines depended main on pace sensing data need aid insufficient, particularly the point when emergencies such as traffic mishaps happen. On location the problem, this paper plans on enhance those way traffic rapidity forecasting Toward fusing universal pace sensing data for new-type “sensing” data from cross area sources, for example, tweet sensors from Online networking and path sensors from guide And traffic administration platforms. Mutually displaying majority of the data starting with different datasets acquires huge numbers challenges, including area questionable matter of low-determination data, dialect vagueness of traffic portrayal in writings Also heterogeneity of cross-domain data. Because of the opposition on this disputes, we exhibit a bound together probabilistic system, known as Topic-Enhanced Gaussian procedure amassed representation (TEGPAM), comprising about apparatus, i. E. Area disaggregation representation, traffic subject representation Also traffic rapidity Gaussian transform representation, that coordinate new-type data with customary data. Investigations looking into true data from two expansive urban areas On America accept the adequacy and effectiveness by our representation.

Financial instruments traded in the stock markets attract various categories of investors across the world. The major objective of investment strategy is to minimize the risk and maximize the return and this can be achieved by choosing the right security at an appropriate time will result in loss reduction. The modern day investment alternative across the globe is crypto currency. A crypto currency is digital asset designed to work as a medium of exchange that uses strong cryptography to secure financial transactions, control the creation of additional units, and verify the transfer of assets. However, cryptocurrency are highly volatile due to their supply and demand factors as they are been designed to have a high degree of non availability. Hence, it is important to have a bitcoins price prediction model that can predict the bitcoins total supply value. In this paper, a multiple linear regression model for predicting the bitcoins total supply is proposed. The change in bitcoins total supply for definite time intervals like total supply per an hour, a day and a week were input for developing the linear regression model using the software package ANACONDA. This is significant improvement in comparison to traditional models. In the present scenario there is no such method of predicting the price of bitcoins. The proposed model can be used a decision making technique during the intense situations of bitcoins trading, where human predictions will not make appropriate price predictions. This paper comprises of various sections where the first section describes the introduction to Bitcoins, their importance followed by methodology and the strategy of algorithm applied. The third section describes the processing steps and implementation of algorithm and followed by validation of the project accuracy and efficiency checker.

Human Activity detection is a talented region has the capacity to earn the human culture by creating assistive advances so that assist old, incessantly sick and for those with exceptional requirements. Precise movement acknowledgment is testing since human action is mind boggling and profoundly assorted. Writing overview acted approximately that has exposed data mining technique are utilized for grouping of exercises. Data mining methods, Naive Bayes with SVM and KNN with Neural Network are end up by proficient in ordering the accelerometers understanding data. This datasets have huge preparation of occurrence by numerous earnings by values. Building categorisers the group like data is as yet a difficult errand. Arbitrary woodland is known for accomplishing high precision in characterization. Its strength in arranging enormous informational indexes is capable. Present paper projects random forest representation for characterizing/anticipating the way of performance. Present data is pre handled to complete stability. Occurrences by organizing dataset are attracted irregular for n tests, and n choice tree are built. Thus, a random based forest is built for ordering initiates depended accelerometers information esteems. To anticipate unlabeled exercise information, total of n trees is presented. Exploratory investigations are led to consider the action acknowledgment capacity of the representation; the outcomes are contrasted and well known managed order strategies. It is seen that the projected representation hits the other grouping methods in relative examination. The planned grouping representation is constrained to perform movement acknowledgment with regards to weight lifting works out. Human Activity acknowledgment is can be applied to some reality, human-driven issues

The most important aim of wireless mesh networks is to communicate with networks that comprise radio nodes to arrange the mesh topology. Here mesh topology is a link of all other nodes that is connected to a single network that includes the devises like nodes, users, routers and gateways etc. Nodes are linked fully and the mesh networks have simple mobile routing with less difficulty in prediction of routing results and data transmission delays. Mesh users may be any wireless devices such as laptops, mobiles etc and the common connection is connected to a single internet. Depending on the device we prefer various mesh cloud for a single network where wireless mesh networks are self adjustable. Here WMN networks are very flexible to work with one or more protocols so that it is better for various mesh networks that include cellular mobile networks and also IEEE standards like 802.11, 802.15 and 802.16.

Cyber protection is a reasonable technique for digital hazard transfers. In any case, it has been indicated that relying upon the highlights of the hidden condition, it could possibly improve the condition of system security. Present paper considers a solitary benefit expanding guarantor (head) with intentionally partaking protects/customers (specialists). We are especially keen on two unmistakable highlights of digital security and their effect on the agreement plan issue. The first is the related idea of digital security, whereby one substance's condition of security depends on its own venture and exertion, yet additionally the endeavors of others' in the equivalent eco-framework (for example externalities). The second is the way that ongoing advances in Internet estimation joined with AI strategies presently permit us to perform precise quantitative evaluations of security act at a firm level. This can be utilized as an apparatus to play out an underlying security review, or prescreening, of a planned customer to all the more likely empower premium segregation and the structure of altered approaches.

The objective of proposed work is to predict the insurance charges of a person and identify those patients with health insurance policy and medical details weather they have any health issues or not. There are some types of health insurances, which are required to be predicted for a patient. The level of treatment in crisis department vary drastically depending the type of health insurance a person has by this we predict the insurance charges of a person In this paper, a multiple linear regression model for health insurance prediction is proposed. Some factors like age, gender, bmi, smoker, and children were input for developing the linear regression model. The model is very accurate considering that it works with real data from practice, with MAPE (Mean Absolute Percentage Error) around 3%, and coefficient of determination R2=0.7615896. This is significant improvement in comparison to traditional modelsin some recent investigations. The proposed model can be utilized for future health care purpose that process to facilitate the decision making process.

Identification of disease at a beginning stage is very essential for higher treatment. It’s a awfully complicated task for medical researchers to predict the illness within the early stages because of delicate symptoms. Typically the symptoms turn out to be evident once it's too late. to beat this issue, this project aims to boost disease designation victimization machine learning approaches. The most objective of this analysis is to use categorization techniques to spot the liver patients from healthy people. This project conjointly aims to match the categorization techniques supported their presentation factors. To serve the medical community for the designation of disease between patients, a graphical computer interface is urbanized victimization python (Node RED). The GUI will be promptly used by doctors and medical practitioners as a screening tool for the disease.

In today’s world online rating systems are extensively used for making their decisions on a particular product or item on the web. For getting benefit, some people are always trying to manipulate corresponding systems by giving unreasonable ratings. So, resolving true ratings of such products comes extremely important and it is a crucial problem. Fake reputation is the problem that is being occurred by unreasonable ratings. In this paper we propose Multi linear regression algorithm in machine learning which will give correct reputation by eliminating unreasonable ratings

In the present time there are plenty of scholars seeking after their instruction away from their nations of origin. The fundamental nation focused through these worldwide scholars is The United States of America. The popular of the universal scholars in the United States of America are from India and China. With the expansion in the quantity of worldwide scholars concentrating in the USA, every candidate needs to confront extreme rivalry to get admission to their fantasy college. This work is to build up a framework utilizing AI algorithms, named it as Graduate Admission Prediction(GAP). GAP will assist the scholars by predicting the chance to get seat in Fantasy College. This paper compares and recognizes which AI algorithm is going to give precise outcome. A straightforward UI will be created for clients to get to the framework

Parkinson Disease is one of the most widely recognized neurodegenerative disorders. In
the U.S. Parkinson disease prevalence is roughly 20 cases for every 100,000 people per
year, with the mean period of beginning near 60 years. Thus, building up an automatic
system for detecting parkinson would be gainful for treating the infection without any
delay especially in remote areas. Due to the accomplishment of profound learning
calculations in breaking down clinical images, Convolution Neural Networks (CNNs)
have increased a lot of consideration for medical disease classification. What's more,
highlights realized by pre-prepared CNN models on huge scale datasets are a lot of
valuable in picture characterization errands. In this work, we evaluate the functionality of
pre-prepared CNN models used as highlight extractors followed by different classifiers
for the order of anomalous and normal MRI check pictures

Forest fire is a significant natural issue, making practical and biological harm while imperiling the human lives. The key component for controlling such marvel is fast identification .To accomplish this, one option is using neural networks to identify the fires, such that we implement Forest fire Detection. By using this convolution Neural Networks we detecting the fires that occur in the forest. Later we intimate message to forest officers then they take immediate action. CNN is a calculation that takes an input picture, assign the consequences (learnable loads and predispositions) to dissimilar perspectives in the picture and have the option to divide one from the other.

Now-a-days, the uses of antenna based devices are rapidly increasing. Among those antenna based devices mobile phones and Wi-Fi routers are the important modules which play the crucial role in every individual’s life. As the technologies & usage of it are rapidly increasing and to meet the satisfaction of the end users all the providers are looking to elaborate their signal strength and other parameters. So, as to increase the strength of the signal the antennas should be capable of meeting it. In this paper, we would like to present the Microstrip patch antenna design of parasitic slot structure with an operating frequency of 7.5 GHZ and comparison of some their parameters with the other antenna structures. For this design, we use high frequency simulation structure (HFSS) software; the antenna is based on the FR4_epoxy substrate with tangent lass of 0.0018 and dielectric constant of 4.4(approx.). After simulation, the performance characteristics such as return loss (S11), gain, directivity, radiation pattern, VSWR are recorded and compared also.

VLSI is a stream of electronics engineering thatoccupy putting millions and billions of transistors logically together on to a single chip. VLSI circuits play a vital role in modern digitalized world. FLIP-FLOPS (FFs) are the main storage elements utilized in digital system propose, that constitutes registers, shift registers, counters etc. The current utilization of the FFs employed in a typical digital design has a great influence on its performance. This paperpresentsthe design of a SISO (Serial In Serial Out) register using LCNT(Leakage Control NMOS Transistor) based D Flip Flop. The functional verification is done in mentor graphics tool. The obtained results matching with the expected ones and the comparative analysis with the previous design techniques shows that thiswill be an effective solution for the future low power register designs

Fetal monitoring during pregnancy time is the most important to save the life of the mother as well as the child. In this paper, we present a device that is used to measure the fetal heart rate during the time of pregnancy. The major component used for this detection is Fetal Digital stethoscope sensor which is to be placed on the abdomen of the pregnant and the signals are processed by the micro-controller used and the accurate fetal heart rate is identified and sent as a text message to the respective mobile phone through the usage of GSM module and also by the usage of EMG sensor the uterus contraction also be simulated as the output on the desktop. This system is very flexible and low cost helps the patient to monitor the fetal heart rate in home

The adders are logic circuits designed to execute “high speed Arithmetic operations” in Arithmetic Logic Unit (ALU) utilized in processors. The basic Adders are “Half Adder and Full adder”. The diverse kinds of adders are Carry Look ahead Adder (CLA), Ripple Carry Adder(RCA), Carry Select Adder (CSLA), &Carry Skip Adder(CSKA). In this manuscript, Heterogeneous adder (HA) architecture is designed with support of diverse Homogeneous adders and Heterogeneous adders are contrasted with Homogeneous adders in terms of power, delay, & area. This architecture is based on a VHDL and compares their performance with Xilinx VIVADO software tool.

This study is based on employer to employee relationship and finding out the reasons for maintain good relationship. Present research paper attempts the review about organizational culture that has a relationship between employee and business organizations. Employer- Employee relationship will built from Recruiting stage itself. For smooth running of any organization a good relation between employee and employer is important but there are many constraints for organizations in managing the relation according to strategic needs. Here employee is considered as the main asset to any organization for managing the relationship for business success, employee happiness and also in increase the productivity by reducing the conflicts of today’s era. In order to forward the healthy and good organization the employer and employee are considered as the two wheels of the engine. Present research paper tells about the main adjective that affects the factors for motivational enhancement of employee.

This research paper points on union budget is the step or the budgete of the Govt. to take better incentives for providing better allocation of funds to all the existing industries. The union budget will play a key role for the stock market on the day of budget session. Because if the union budget is affordable to the industries it will be on positive if not it will be negative. The proposed paper tells about the budget impact of 2020 which is negative on stock market. The main purpose of this research is to find out the fluctuations of the stock market over pre and post trading day respective to union budget presentation in parliament. In this research regression statistics tools are used in methodology.

customer direction originate from those company’s reception and usage of the marketing idea. Those customers are the arbiters about fortune to benefits of the business. Over profoundly aggressive investment system, the success, survival and also the development of organizations warrants exact information something like consumers-their conduct –how, why, where, what, when, they buy? Understanding consumer is the urgent undertaking of each marketing supervisor.

The consumer behavior literature suggests that the customer sees a food manufactured goods as a combination of attribute such as ease, diversity and option, creation quality, non-seasonal accessibility, covering, sanitation and originality.To study the factors influencing buying choice of customers in food products a convenience sample of 100 responders were selected and were asked to provide responses from a well structured and verified questionnaire on seven variables. To analyze the collected data multiple linear regression tools was used and was found that packing, trademark and quality of the product are the major factors that influencing the dependent variable of the revision. The paper was followed by conclusion by means ofboundaries.

The term welfare commends the condition of prosperity, wellbeing, satisfaction, success and the advancement of HR. The present examination is an endeavor to recognize the worker welfare programs being directed in IT industry. The study targets to discover how the welfare activities are effecting employee satisfaction. The successful and proficient approaches (statutory and non-statutory) make the worker to play out the activity better, which prompts adequacy of the association and is a factor of representative commitment. As a part of the investigation, various IT companies such as Tech Mahindra, TCS, Infosys employees were chosen to study the welfare facilities and employees satisfaction levels. It is found that welfare activities are showing significant impact on employee satisfaction. Conceptual information was taken through different diaries, magazines and various sites. The primary information became collected through questionnaire from employees of various IT companies. For data analysis Cronbach’s alpha was used for determining validity and reliability of the variables used in this study.

Customer direction comes from the organization's appropriation and execution of the advertising idea. The customers are the authorities of fortune in business. In profoundly serious monetary framework, the achievement, endurance and development of firms warrants exact information about purchasers their conduct – how, why, where, what, when, they purchase? Understanding purchaser is the pivotal assignment of each promoting administrator.

The Research paper “study of impact on presentation indicator on promotional worth of private bank sector” is conducted with an objective to measure if the financial presentation indicator of Private banks contains an crash on their market value. For this study private banks that are listed in S&P BSE Private Banks Index are engaged into deliberation. The financial presentation indicators that are used for this research are Arrival on Assets (ROA), Arrival on Equity (ROE), Net Profit Margin (NP), and Cost to Income ratio (C/I) and Earnings per Share (EPS). The secondary data of ROA, ROE, NP, C/I, EPS and Market Value of the stocks are collected from money control website for a period of 5 years. The collected data is analysed by utilizing numerical tools like Pearson Correlation and numerous Linear Degeneration Analysis.

Now a day’s development of workplace surrenders the employee lives only on the ground of work. For every individual person work as well as personal life plays a significant role but maintain the stability in both is a difficult task. For every Employee work life stability is very essential. Work Life stability is about having the stability among proficient life and private life of an employee. This study brings out that how the professionals are managing their work life stability. The sample size is 100-200. It also discuss about features disturbing the work life stability like working hours, work load, stress. And the advantages that come from gaining work life stability like employee satisfaction, retaining employee, increase in employee productivity, decrease in employee absenteeism, improve in organization results

Recruitment through social media is to understand that development in businesses gives walk in through social media recruiting for various candidates and variable positions. As of new trend, recruitment did through web browsing, socialization through social media websites. The selection process needs the most capable, qualified and biggest media enlistment candidate pool is called Social Media Recruitment. It is tied in with drawing in with web clients through web-based social networking blogging to source and enroll ability. Web based life is intuitive media, for example, sites; interpersonal organizations like Face book, Twitter, Yahoo! Gatherings and LinkedIn; and Video facilitating sites like YouTube. It resembles finding, presenting and teaming up with qualified experts on SMW whom association is searching for, who are expected to work with accomplishing objectives of enlistment. The utilization of online networking as a source is the perfect enlistment and maintenance device in the time of blogging in truth a large portion of the fortune 500 organizations are already following it.

In this research paper proposes the roles of digital marketing in the field of marketing, and then we are going to analyze the force of social media marketing in the field of marketing in recent times and how it overcomes traditional digital marketing. Digital advertising is a kind of showcasing is generally utilized to progress the items or administrations and to arrive at purchasers using digital channels. Advanced promoting attains out precedent web showcasing as well as channels so that it does not needs the utilization of the Internet that includes mobiles (Both SMS and MMS), internet based life promote, demonstrate announcing, web crawler publicity and frequent dissimilar type of advancement. The key job players and framework contractor in digital economy are administration, banking framework, shopping gateway in India, Internet and Software Service Providers Startups who utilizes digital advertising ordinarily get disastrous

In this research paper the analysis of Axial crushing of Circular Tubes with Graded Corrugations is done by FEM using ANSYS 15.0 with LS-DYNA Explicit Dynamics. The analysis is carried out on simple cylindrical tubes with geometrical parameters such as different types of corrugations with different sizes, grooved tubes. Various structural analysis graphs were plotted and results show that corrugated tubes have a rather uniform and straight graph as compared to simple cylindrical tubes. Which also establishes that the structural crashworthiness of these corrugated tubes is better than normal cylindrical tubes?

This paper will be a exert will survey if alternately not venture supervisors inside the industry region unit mindful to alarmed and incline venture administration systems and its requisitions inside the development division. We've got measured those perceive levels of contemporary thoughts such as Agile and Lean that might have been wanted by challenge (2013) and Lean, arranged by Owen, Koskela, Henrich, Codinhoto (2006). Our dissection is focused on towards developers & contractors un might Eventually make abuse these strategies Moreover Likewise analysts Also academicians un may notice this paper advantageous in persuading the builders/contractors to the points of interest of the individuals strategies. That $64000 character from claiming this paper will be should live those perceive level for incline and alarmed venture administration inside the business particular of the bombay setting. Will include on, those slants for trade consultants indicate that these strategies can encourage expansion the potency and adequacy from claiming goes which could Indeed bring significance in future.

Present Research paper suggests combined Bayesian framework for attribute-based simultaneous localization and map building (SLAM) in common instance of indefinite feature count and relation of data. Through modeling the evaluations and map of feature as RFSs-random-finite-sets, the formulation is on SLAM attribute–based issue will be shown which combined predicts the count and features location and also trajectory of vehicle. More precisely, joint posterior dissemination of group-valued map & vehicle path will be propagated towards timely arrival of measurements, hence including both the management of feature and association of data into 1 recursion. And the objective of the thesis is applying & experimentally evaluating the RFSs manifold SLAM Vehicle in the 3D. And both real life and simulated datasets are verified for offering the accurate analysis and entire execution of suggested implementation. Moreover, to solve the consistent connection topic of transferring the objects, covariance region connection belief assignment will be implemented for evaluation of motion state & corresponding evidences like vision features & kinematics are synergized jointly to improve the efficiency of association through the verification fusion model. And concept proof with simulations is fruitfully analyzed & demonstrated

The soil stabilization wealth modification of the soil assets by the addition of further material to meet the particular engineering necessities. Techniques for the stabilization would compaction and utilization of admixtures. Utilization of ragged rubber tires in geotechnical engineering for upgrading the soil properties has gained excessive consideration in the present times. The goal of the study might have been to utilize the dissipate material for stabilization of soil to decrease the natural effect. A few reinforcement methods are nearby for stabilizing soils. In the current examination, the ragged rubber from dissipate tires is picked as the strengthening substance and cement of 2% and 4%as binding agent. The binding agent that might have been haphazardly incorporated into the soil at 3 diverse ratios of shredded rubber satisfied, i.e., 5%, 10%, and 15% by influence of soil the examination is concentrated on the performance of soil reinforced by haphazardly incorporated ragged rubber. The examples are subjected to California attitude ratio (soaked and unsoaked) and released density tests. The tests have unmistakably indicated a critical development in the shear power and behavior ability limitation of the soil.

here foundry industry those shot impacting methodology assumes An basic part for clean, reinforce or clean the metal, for foundries the taking care of shot impacting machines Hosting practically dangers identified with health, safety & earth need aid included. It might make eye, skin also respiratory tract aggravation on wellbeing. Especially done aluminum foundries the aluminum tidy emanation result may be a white crystalline powder And it need those aspects for framing hazardous tidy buzzing around mixtures. In this tidy emanation those intense impacts need aid wellbeing hazards; particulates might result in aggravation of the eyes, nose, throat and lungs. In the event of inward breath toward the operators also co-workers it might be aggravating of the respiratory tract and foundation respiratory issue. In the event that of constant impacts it might prompts lung malignancy and the danger of extreme impacts relies looking into span and level of introduction. That course for entrance is inhalation, skin Furthermore eye contact and the influenced focus organs need aid respiratory system, lungs, skin & eyes. Those surprising fire & blast dangers are dust clinched alongside secondary focuses might structure hazardous mixtures for air. Those unsafe burning results need aid recorded likewise aggravating gases, vapors, vapor and oxides about carbon. This task will be to decrease the danger level toward actualizing those appraisal and change control measures in the shot impacting machines by viable qualitative Investigation strategy

The basic idea is to construct a mobile patrolling robot for security and monitoring. For an on-demand robotic system, a location aware module provides location information of objects, users, and the mobile robot itself. The probability-based location aware module is modified to handle RSSI measurements with a maximum of calibration. The resultant location calibration module will be more light-weight. In addition, coherent functional global patterns and principal of emergence is introduced into the mobile robot. The use of WSN sensors increases the flexibility of mobile robot. In addition to this, a communication algorithm is designed with minimal overhead for transmitting process request and feed between the robot, WSN, user and server. The location aware module and the message passing algorithm make use of DVR algorithm to compute the distance between the mobile robot and WSN. A fault tolerant feedback control system is programmed to handle fault up to certain extent. The light weight location calibration and communication module is integrated into a current formation mobile robot with intruder detection system having the capability of capturing and transmitting live feed of the area under surveillance to the user’s mobile in real time.

Beams would significant networking for carrying Furthermore transferring loads. A watchful approach done its configuration might prompt great serviceability also streamlining of the expense from claiming structure. Prismatic beams are regularly utilized for medium compass Furthermore bowing minutes. Likewise the compass increases, bowing minutes What's more shear powers expands significantly In the core from claiming compass Furthermore In the backs. Hence, prismatic beams might turn into uneconomical over such situations. Moreover, for those expanded profundity there is significant diminishing on headroom. In On such cases non-prismatic beams would a engaging result. In the available study, straight and non-linear examination from claiming strengthened solid structures for parts for changing dormancy need been conveyed crazy to edifices from claiming (G+2), (G+4), (G+6), (G+8) and (G+10) story. Further, two situations need aid considered, person may be uncovered outline (without infill walls) What's more an alternate you quit offering on that one may be outline with infill (considering infill walls). Those edifices would investigate to extreme quake load (seismic zone v of India). Straight dissection about frames need been completed utilizing two techniques seismic coefficient strategy and more reaction range system.

This research paper proposes the analysis of scheduling and financial by using MSP Software is a process which involves estimation, sequencing the activities, resources allocation and timing. The construction scheduling is to complete the project in time and match the resources with the allocated time. Scheduling using MSP Software gives good controlling and clear schedule to a project. EV analysis may be an standard system for measuring a project’s advancement at whatever provided for side of the point from completion time, determining its fruition date, final cost furthermore examination difference in the plan and plan of the undertaking. This project deals with scheduling using MSP and EV Analysis for a apartment building. Thereby process time and cost overrun are avoided

Pulverized fuel powder is a mechanical waste generated previously, warm force plants crosswise over reality. Fly cinder will be a building material that could make utilized concerning illustration bank material or sub review material. The point when compared for ordinary soils utilized for bank construction, fly cinder needs extensive consistency coefficient comprising from claiming silt- measured particles basically. Expansion for made sand modifies the molecule span dissemination from claiming fly cinder and likewise, there will make an increment clinched alongside the unit weight of the blended material. Those available test worth of effort needs been conveyed out to recognize the likelihood of utilizing fly cinder in blending with M-Sand. Those building properties by this mixture (fly ash-M-Sand) need been mulled over should bring out those plausibilities of utilizing fly cinder in the development of embankments. Expansion by M-Sand to fly cinder brings about an expansion On most extreme dry thickness (EDT), and toward that same duration of the time watched An diminish over optimum moisture content (OMC). Those composite comprising of 40% flies cinder. + 60% M-Sand generated all the most extreme dry thickness (EDT) for 1.55 g/cm3. This composite material might make utilized to the development of subgrade to country streets.

In different researches many different types of alternative fuels are utilized. In view of expositive expression review, it will be inferred that to c's i engine, Bio-diesel will be those most guaranteeing elective fuel. In this venture meets expectations prospects and chances from claiming using 100% immaculate Karanja biodiesel And expanding Karanja biodiesel-diesel mix proportion Similarly as a attempting fuel clinched alongside diesel motor will be setting off on make contemplated by evolving motor loads. Additionally dependent upon experimentation practically ideal mix Also motor parameters are will be prescribed for getting better execution. Karanja biodiesel displays a guaranteeing situation from claiming attempting Likewise elective fills on fossil diesel fuel. Those properties about Karanja biodiesel could make compared satisfactorily with the aspects needed to i c's motor fills uncommonly c i motor. Examinations will be performed to five motor loads, i. E. 1,3,5,7 Also 9 kg utilizing immaculate diesel fuel And blends o Karanja biodiesel-diesel i. E. K10, K20, K40, K60, K80, immaculate Karanja biodiesel with steady speed of diesel motor. Those parameters which will examine On execution need aid brake warm efficiency, shown warm efficiency, particular fuel consumption, mechanical effectiveness and fuel utilization. The consequences of experiments observed with biodiesel blends arecompared with that of baseline pure diesel. In the consequences its being found that the K20 Biodiesel blend has more promising results having lesser fuel consumption.

Infill walls are inescapable components of a few structures to make detachment among interior space and exterior condition. Generally, here are a few rife notches inside the infill walls because of practical requirements, architectural contemplations or artistic contemplations. In present intended carry out, might and firmness involvement of infill walls aren't thought of. Though, the occurrence of infill walls might impact the seismic reaction of structures exposed to earthquake loads and cause a conduct which is not the same as that anticipated for a bare frame. Additionally, partial openings inside infill walls are important constraint influencing the seismic behavior of unfilled frames in this manner diminishing lateral stiffness and strength. Past specialists have attempted to discover through tests and logically the impact of numerous parameters, such as notch size and locality, proportion of opening, association among outlined and infill wall, flexible feature in surround member, textile property, malfunction mode, and so forth on in filled frames behavior. The present article is planned to think about different models of structures considering the openings at various areas in the infill walls for the seismic conduct. The investigation could encourage trendy and code developers in choosing and suggesting appropriate diagnostic representation for evaluating power, hardness, breakdown modes and different assets of infill frames with openings.

In developing country like India every decade, the population growth has been increasing. Hence, the Indian government fulfills its basic needs like power and employment and at the same time, industrialization and urbanization are the requirement to lead their life. Though these are the necessity of the society, they are unavoidable. During the industrialization, huge measure of industrialized disposals has been generated. The wastes are created by various industrial processes. They are of composite distinctiveness and different chemical compositions, also affect health and environment. Hence, safe management and the disposal of waste are very important to maintain the sustainable environment. Only the concrete industries are responsible for utilizing these waste materials because, large quantity of natural resources is consumed in concrete and also some positive properties are also present in the industrial by-product.

Concrete is the most popular material used in the construction works in which cement is the main composite. The manufacturing of cement involves the emission of greenhouse gases into the atmosphere which are responsible for global warming. Hence the researches are currently focused on various materials to replace and reducing the cement utilization. Moreover, in this contribution the concrete Geo-polymer has been made with GGBS (granulated ground blast furnace) along with steel fibers mixing. GGBS is the by-product produced from steel industry. Steel fibers are added to increase the tensile strength of concrete. In this experimental investigation geo-polymer concrete containing GGBS and steel fiber (0.5%) with 8 Molar and 10 Molar alkaline activators are used. The ratio of these alkali activators is 1:2.5. The results showed that fiber can significantly enhance the Mechanical properties. The enhancement also increases with the increasing fiber volume fraction.

The most significant material of construction is concrete. This material has been termed as composite material comprising of fine aggregate, water, coarse aggregate & cement. The term fine-aggregate has been a pre-requisite in huge amount of concrete production. Usually, sand from river has been utilized as fine amount. Because of enhancement in concrete usage in construction domain, the requirement for sand is enhanced rapidly. The confines have been fed on huge scale river mining from beds of river. Hence, the simulation study has been performed on concrete cement robustness by substituting partially sand of sea with sand of river in the form of fine amount. Furthermore, in this contribution, soaked, sea sand and sand that is heated has been utilized. The sand of sea in fine amount has been substituted as per multiples of 25. This manuscript prominently examines the split TS (tensile strength) and CS (compressive strength) of concrete, where sand from sea has been utilized as fine soil that is completely or partially substituted and examined for 28 & 7 days. Also, the concrete conduct by partial substitution of fine amount with sand from sea has also been researched.

The deficiency of sand in the river made a novel interest in the researchers. The contributions regarding sand of river diminishment and requirement for exploitation made scientific management of resources available. Here, the sand from foundry could be utilized in the form of partial substitution of fine components or overall substitutes of fine components and the addition of supplementary to attain divergent concrete properties. The concrete has been substituted with optimal aggregate & micro silica has been substituted partially with foundry sand that is of waste. The STS & CS tests has been performed during 28 & 7 days. The highest strength has been attained at substitution of 15% of sand taken from foundry. When compared with plain cement concrete, blended concrete containing micro silica has exhibited greater improvements.

One of the most prominent technologies that is developing since 1980 in concrete technology is SCC (self-compacting concrete). It is initially developed in japan, and further extended all over the entire world with constant enhancing and divergent amount of applications. Because of its definite increased properties, the term SCC might research over the concrete structure’s quality and open novel fields for concrete implementation. This SCC gets dense and compacted because of their own weight. The simulation study is conducted to examine divergent characters such as workability & strength of SCC. Moreover, a test comprising several proportions of fiber for specific combination of SCC has been conducted. Here, the test models utilized for researching the new concrete properties were L-Box, V-Funnel, Slump test and U-Tube. Some of the properties like tensile, flexure and compressive strength of the technology SCC have also been examined. The test comes exhibited that the SCC workability characteristics are within boundaries of SCC limits. The difference of divergent factors of M50 (hardened concrete) in regard to several percentages of contents of steel fibre have also been investigated.

Globally future cities are urbanizing due to which construction industry is showing rapid change by application of advanced construction techniques and resources. In the past few decades, various research states that formworks involve 15-22% of the project cost, hence this study emphasizes in manufacturing a smart material for sustainable formwork from undegradable materials available in the form of scrap waste by recycling under Swachh a Bharat Abhiyan initiative. The objective of this research is to develop smart material termed as Waste Composite Material (WCM) substitute to timber. Standard Engineering tests on WCM were conducted in laboratory under prescribed IS specification which showed good results in its load taking capacity in tension, compression and shear as compared to timber. As this research helps in reducing solid waste pollution by recycling them, it can be concluded that for future infrastructural projectsWCMcanbeconsideredaseconomicalandeco-friendlyalternativesolution

Ad-Hoc Network is an independent arrangement of portable Hubs or nodes associated by remote associations. Hubs or nodes are free to travel, every now and again change their position and sort out themselves into a system. Hubs or nodes contain remote transmitter and beneficiary that permit them to participate in remote system. Hubs or nodes in MANET having double conduct, they go about as switches just as registering gadgets. Constrained transmission capacity and changing geography results the issue of Congestion in MANETs. Recognizing Congestion is troublesome in remote system, since there might be a few purposes for dropping of parcels. Specially appointed system is characterized as the system wherein the clients speak with one another by shaping a transitory system with no concentrated organization. Here every hub demonstration both as a host just as a switch. They have profoundly deployable, dynamic and self-configurable geographies. Different steering conventions are characterized for MANETs. Congestion and security issues are both solved in this paper using bloom filter and congestion aware protocol hybrid combination in AODV protocol. The results show better energy, PDR, throughput and high speed of the wireless sensor network.

This research paper proposes the communication devices in defence sectors shares secret information dynamically and it is vulnerable to hackers as they steal, corrupt or destroy the data. Though existing system uses different cryptographic techniques, yet suffers from various cyber-attacks. In order to communicate secretly, we propose novel optimized crypto stegano system with the cryptographic process implemented by Elgamal cryptosystem with secure key exchange, then steganographic process using quantum LSB image steganography by hiding the encrypted data into the randomly chosen image, also cover image is optimized using eagle strategy particle swarm optimization algorithm for high embedded efficiency. Then the data embedded in image is retrieved using steganographic retrieval technique and it is decrypted at receiver by Elgamal decryption using private key. Based on results, various parameters such as MSE, PSNR, embedded efficiency and carrier capacity are calculated and related with existing methods, thereby higher performance metrics are achieved in our proposed work.

SAAS (Storage as a service) is a prominent cloud computing service that helps the cloud users to overcome the bounded resources and the storage expansion by advancing the devices. Data is outsourced by the encryption format due to the security and safety reasons so that the encrypted data generates lot of storage waste in cloud by complicating the data exchange among the authorized users. But here there are many challenges such as storage and managing encrypted data by duplication where as traditional duplication schemes in cloud always focus on application scenarios that are completely controlled by data owners or servers in cloud. Here the flexibility of satisfaction of different requests by data owners on level sensitivity of data. Present paper offers both reduplication scheme managing and access control of same time through multiple cloud service providers (CSP’s) for the evaluation and performance of comparison and implementation additionally security analysis.

Here current creation online social networks (OSNs) become more and more common and the social life of people has become more linked to these pages. They use OSNs to remain in finger with everyone else, distribute news, prepare dealings and still run their personal e-. Out of control of the OSN's evolution and the huge extent of their supporters 'individual developments, they have been attackers and impostors who take individual information, share fake news and disseminate vindictive exercises. Researchers in various fields began inspecting environmentally friendly techniques in order to perform abnormal activity and counterfeit money that is based on accounting and classification algorithms [1]. However, the use of stand-alone classification algorithms no longer yields a straightforward outcome, some of the factors that are manipulated by the account have a low influence or have no impact in the closing results. The paper proposes to use the SVM-NN as a modern algorithm to effectively identify suspected Twitter accounts and bots, to add four choices and to restrict measurements. Three laptop classification mastering algorithms were used to determine the actual or false identity of target accounts. They included the SVM, the Neural Network and our recently urbanized SVM-NN method that utilizes far less hardware but is still able to correctly identify about 98% of the money due to the training data set.

Due to the reputation of smart mobile devices and the low cost of monitoring systems, automated forensic investigations increasingly take visual data. Digital videos were widely used in identifying, analyzing, presenting and reporting evidence as key evidence sources. The primary purpose of this paper is to establish advanced methods for the forensic video analysis to support forensic science. We propose first a framework for forensic analyzes using an effective video / image improvement technique for low quality footage analysis eco-based forensic analysis.

In recent years, it is in public to use the surveillance cameras for continuous monitoring of public and private spaces because of increasing crime. Most current surveillance systems need a human operator to constantly watch them and are ineffective as the amount of video data is increasing day by day. Surveillance cameras will be more useful tools if instead of passively recording; they generate warnings or real-time actions when unusual activity is detected. But recognizing and classifying human activity as normal or abnormal from a live video stream is a stimulating job in the pitch of CPU vision. There is a need for a smart surveillance system for the automatic identification of abnormal behaviour of humans for a specific-scene. Presentpaperstretches an overview of different machine learning methods used in recent years to develop such a model. It also gives an exposure to the recent works in the field of anomaly detection in surveillance video and its applications

The speech signal moving objects regarding the speaker’s personality. A speaker recognition field is about retrieving the name of the individual voicing the speech. The effectiveness of accurately identifying a speaker is focused solely on vocal features, as voice contact with machines is becoming more prevalent in tasks like telephone, banking transactions, and the transformation of data from speech databases. This review illustrates the detection of text-dependent speakers, which identifies a single speaker from a known population. The program asks the user to utter voice. Program recognizes the person through evaluating the voice utterance codebook with the voice utterance codebook held in the database and records that may have provided the voice speech. Furthermore, the features are removed; the speech signal is registered for 6 speakers. Extraction of the function is achieved using LPC coefficients, AMDF calculation and DFT. By adding certain features as input data, the neural network is equipped. For further comparison the characteristics are stored in models. The characteristics that need to be defined for the speakers were obtained and analyzed using Back Propagation Algorithm to a template image. Now this framework trained correlates to the outcome; the source is the characteristics retrieved from the speaker to be described. The weight adjustment is done by the system, and the similarity score is discovered to recognize the speaker. The number of iterations needed for achieving the goal determines the efficiency of the network.

This paper audits and talks about examination propels on "logical AI" in PC vision. We centre on a specific zone of the "Seeing People" (LAP) topical space: primary imitations and character investigation. Our point is to variety the computational knowledge and PC vision networks mindful of the significance of creating logical systems for PC helped dynamic applications, for example, robotizing enlistment. Decisions dependent on character attributes are being made routinely by human asset offices to assess the up-and-comers' ability of social inclusion and their capability of profession development. Be that as it may, deducing character attributes and, as a rule, the procedure by which we people structure a first impression of individuals, is profoundly emotional and might be one-sided. Past investigations have shown that knowledge machineries can figure out how to imitate human choices. In this paper, we go above and beyond and figure the issue of clarifying the choices of the models as methods for distinguishing what visual perspectives are significant, seeing how they identify with choices recommended, and potentially picking up knowledge into unfortunate negative inclinations. We structure another test on reasonableness of knowledge machineries for first impressions examination. We portray the setting, situation, assessment measurements and starter results of the opposition. Supposedly this is the first exertion regarding difficulties for logic in PC vision. Moreover, our test configuration involves a few other measurable and subjective components of oddity, including a "competition" setting, which joins rivalry and coordinated effort.

This research deals with the major problem that we face in major part of India and across most of the world. The research deals with the main problem of traffic congestion and road accidents that is basically caused because of the improper parking management. So, it is mandatory for all the cities to have a well managed parking system. However, in the past many researches has been conducted to propose an solution that leads to suitable smart paring algorithm. On reading more about the researchers conducted in the past, it was clear that each research has its own pros and cons. This paper reflects on the research conducted to design an algorithm that leads to a cloud based smart algorithm that is secure and is convenient enough to develop a system that can be used to manage the available slots and can notify the users about the available parking slot beforehand to the client. The paper also focuses on the result analysis part that clearly shows that the algorithm designed is more accurate than other algorithms used in the past. We have designed our algorithm using ACO, decision tree, and GPS mapping over cloud. The idea of working on this research was to provide a solution that is cost effective, helps people on large scale and maintains the laws and order.

The present paper suggests about the programming association that is spent by excess 48% in management programming bugs that is having an unavoidable walk by explaining bugs to a bug triage, that has a viable consign hope to be fashioner to an added bug. Bug triaging recommends the way towards doling by bug that is the most rational originator to be fixed and is ended up by progressive troublesome and confounded degree programming amount of architect augment. Programming bugs that are predicted to be bug triaging that is troublesome, dreary, dull and luxurious errand for marvellous programming exploits of quantity to be touchingnear the bug report is common in triaging the broad amount of touching bug report that is worrying and dull errand. Approximately portion of bug triaging process is of behind inwards bug response to an designer to be effectively resolved bug. Now by deleting the bug answer that is relevant creator in an indispensable walk to be diminished by throwing bug that has a path toward reallocating the bug answer to addedauspicious architect that is to be essentially picked one cannot be resolved

Present process of ATM has a lot of fraud malicious money transactions and thefts that are occurred by lack of privacy protection. Through introducing false impression PIN, a PIN-based confirmation mechanism that runs on touch screen computers, users fix the issue of shoulder surfing attacks on authentication schemes. PIN uses the hybrid picture method to combine two keys of opposite numerical order such that the button-closer can use one keyboard to reach the Lock, while the intruder from a larger distance is staring at the computer so only the other keyboard is available. The client keyboard is mixed in each effort at authentication because the aggressor can save the pressed digit spatial understanding. Because of the reliability of the Illusion PIN and the creation of an algorithm focused on human visual interpretation, the analyst can't read the key virtually unlikely to pick up the PIN of a Mobile consumer while an IPIN is used by the surveillance camera. The OTP authorization method is also incorporated in the new scheme. This increases the protection related to the computer ATM system

With growing use of sensitive equipment, studies on power quality had developed to conduct data analysis on power quality. Wavelet transformation method has been very useful in investigating diverse types of events in power quality. Present paper associates the utilization of different wavelets at various scales and level of disintegration in examining real Power Quality (PQ) occasions from a link model or signal is produced utilizing MATLAB background. In this system voltage sag, swell, harmonics, momentary interruption, fault conditions and transient events are performed. The system proposed includes elements smaller than the traditional procurement process. In this method wavelet transform identified different power quality events and then classified them via Artificial Neural Network (ANN). Power quality disturbances are defined by the load received after neural network training. Separate MATLAB simulation model is designed to produce various power quality events like voltage sag, swell, passing disruption, harmonics, temporary and fault signals. ANN learning also wiped out MATLAB simulation using NN toolbox for power quality disturbance detection through the aliasing of voltage signals energy. Satisfactory results obtained in MATLAB simulink using such techniques.

Together with 20 billion includes each day, 0.33-party Apps may be a critical purpose for the attraction not withstanding addictiveness of Facebook. Unfortunately, cyber criminals get went to the acknowledgment the possibly of Applying Facebooks near scattering malware however spontaneous mail. Up to now, the examination close by corporation gives committed to revealing noxious substance but advertisements. On this file, a massive detail parents question the problem: delivered some form of Facebook programming, can real a massive element parents find out inside the event that it's miles noxious? Our very own fundamental percentage is in building FRAppE Facebook's Thorough Request Evaluator in all likelihood the vital tool dedicated to revealing vindictive Facebooks in Facebook. To create FRAppE, the extra part of us rent actualities received essentially through looking on the submitting conduct of 111K Facebooks decided in some unspecified time within the destiny of 2 billion clients in Facebook. Initially, the extensive majority human beings understand a few attributes which will help in reality each person separate pernicious Facebooks with the beneficial aid of no longer malignant individuals.

Inter cloud tries to encourage asset allocating within mists. To help Inter cloud, a trust assessment system between mists and clients is essential. For trust assessment, ordinary conventions are ordinarily founded on an incorporated design concentrating on a single direction association. For Inter cloud, the earth is exceptionally powerful and appropriated, and connections can be single direction or two-way (i.e., mists offer types of assistance to one another). Present paper conveys trust assessment convention with security assurance for Inter cloud. The new commitments and creative highlights are summarized beneath. To begin with, criticism is secured by homomorphism encryption with unquestionable mystery sharing. subsequent, to oblige the dynamic idea of Inter cloud, trust assessment is directed in an appropriated way and is useful in any event, when a portion of the gatherings are disconnected. Third, to encourage modified trust assessment, an imaginative component is utilized to store input, with the end goal that it tends to be handled deftly while securing criticism protection. The convention has been demonstrated dependent on a proper security model. Reenactments are executed to show the viability of the convention. The outcomes show that in any event by half of the mists are noxious or disconnected, by picking reasonable prepared boundaries the convention can in any case bolster successful trust assessment with security assurance

In this paper we present a Low Power ‘Pay Power’ Automatic Electronic Vending Machine design. A simple coin detection mechanism is employed to detect a coin of a single type and taking appropriate action using a PIC 16F877A microcontroller (switching a 230V power supply in this case).The programming process has been accomplished using standard application MPLAB IDE v7.60. PROTEUS v6.9 is used for simulating the entire system. The mechanical prototype to accept a coin has been ingeniously designed using a rectangular fiber case with metal detection terminals. The PIC microcontroller goes to low power ‘sleep’ mode when not in use there by conserving power. An experimental study at the end of the paper shows the amount of power saved

Now a day’s internet is turned into the mechanism for exchanging the delicate data, the safety of the exchanged message become the most extreme need. Image steganography has developed out as the famous technique of data concealing that guarantees the safety of the conveying information. Picture files give high limit, and their recurrence of accessibility over internet is likewise elevated. Present paper, a technique for Color Image coding is recommended so as to hide the data beside a chose pixel and on the following estimation of the chosen pixel, that is, pixel + 1. One bit is covered up at the chose pixel, and the second bit is covered up on the pixel +1 esteem. On the premise of the seventh bit of the pixels of a picture, a numerical capacity is connected at the seventh bit of the pixels, which produces a brief variable (pixel + 1). The seventh bit of the chose pixel and seventh bit of pixel + 1 are utilized for data covering up and withdrawal. Based on a blend of these two qualities, 2 bits of the message is covered up on every pixel subsequent to execution, the effectiveness of the technique is kept an eye based on parameters like PSNR and MSE, and this method is efficient than some previously proposed methods. This proposed picture steganography demonstrated promising, fascinating outcomes when contrasted and other existing strategies.

In the present innovations, correspondence has numerous applications, and in each field the information is encoded at the transmitter, exchanged over a correspondence channel and got at the recipient after information is decoded. Amid the procedure of transmission in a channel, a few information might be debased because of clamour. At recipient side, blunder information must be distinguished and remedied. Hamming code is one of the famous procedures for mistake discovery and rectification which comprises of encryption and unscrambling process. Encryption is the way toward changing over data or information into a code, particularly headed for counteract unapproved access and Decryption is a procedure of taking encoded or scrambled content and convert it again into unique content. The diverse models of encryption and decoding framework for hamming code calculation are proposed in the writing, which depend on low power, superior, limited expense and so on. In this paper different designs for Encryption, Decryption framework like EC(Encoder)- reversible rationale are indicated and execution qualities are watched dependent on parameters like frame rate, delay are watched for the Hamming code.

Automatic detection of vehicles data has been widely used in the area of traffic surveillance system where the efficient traffic management along with safety is the main concept. This project depicts the count of the vehicles present at that particular area of traffic using the data provided by the satellite. The satellite captures the image of the particular traffic junction. This satellite image is further processed in order to find the count of the vehicles. The image contains unwanted objects along with the vehicles. For that image, apply thresholding techniques to detect the vehicles and such that unwanted objects whose gray scale values are below the threshold level will be removed. The designed system converts the satellite captured image into gray scale image. This gray scale image is then converted into binary image. It is proposed to develop a unique algorithm for detecting the vehicles using thresholding techniques. If the intensity value is greater than the threshold value, 8-bit of value 255 is assigned else 8-bit of value 0 will be assigned. The edges of the objects present in the binary image will be obtained. Noise will be reduced using filters. The bright areas which are bounded will shows the vehicles present in the image. Boundary formation is useful for detecting the objects in the image. Using Blob detection method, the properties of the objects are depicted and using the Moore Boundary tracking algorithm the boundaries of the objects are detected. Detecting the vehicles and finding the count of the vehicles are the objectives of this project.

Due to various benefits, Microstrip patch antennas are utilized in different applications extensively. Because of the attractive features of ease of fabrication, robustness, light weight, and low profile, microstrip patch antennas have been investigated. However, the significant disadvantage is the narrow bandwidth that is where stacking of antennas is proposed. The stacked antenna is designed to form an array which is used for enhancing bandwidth. The stacked antenna offers many advantages like miniaturization, frequency independent, wideband and multiband capabilities, low volume, smaller dimension and many more. With a rectangular slot, a rectangular microstrip patch antenna is designed in this project and it is replicated based on HFSS tool. A 1*1, 1*2 and 1*3 stacked antenna designs are proposed using line and coaxial feeding techniques. The proposed antennas are intended at a frequency of 2.8 GHz with a substrate of FR-4 EPOXY that has a dielectric constant of 4.4.it has features like enhanced bandwidth which is one of the concerns for this project. For proposed 1*1, 1*2 and 1*3 antennas the feeding techniques used are microstrip line feeding and coaxial feeding. For feeding, inverted T shaped microstrip line feeding was used. Here full ground plane is considered for ground structure. The antennas resonating ate 2.8 GHz frequency meets the desired requirements of VSWR and return loss. The stacked antenna array with a thin slot achieves a better result than single antenna. The HFSS (High Frequency Structured Simulator) tool is utilized to evaluate the performance characteristics of the designed antenna such as Return loss, VSWR, Directivity, Gain and radiation pattern

There will most extremely transport exchanging action in the ordinary two's supplement portrayal of information, due to the sign expansions in the higher- request bit positions. Utilization of marked digit portrayals can limit this impact. A negabinary portrayal lessens information transport changing movement to a degree practically identical to that is given by the better-known sign-size documentation

Synthetic aperture Radar is a two- dimensional radar or three-dimensional radar that plays a prominent role in remote sensing. After many researchers have been done the advanced radar is polar metric synthetic aperture radar. PolSAR radar is fully polar metric radar it provides valuable data on relating experimental target than conventional artificial aperture radar. Therefore, it plays a significant job in numerous grounds like agriculture, military and geology. Based on this classification, ISODATA and minimum distance classification are utilized to explain the spatial and spectral data of polarimetric synthetic aperture radar. The initial step is to create the spatial data utilized for pre- processing stage. The PolSAR image is produced by decomposition and super pixels and then the date is estimated. The next method is to utilize spatial data for post-processing it sustains the minimum distance classification .The result is obtained by minimum distance categorization. The third method utilizes spatial data openly for categorization. In this method, SENTINEL data is applied to classify the PolSAR image. This SENTINEL data is classified by using SNAP software Based on Max-Margin the trademark work is structured and restrictive arbitrary field is utilized to proliferate the logical data in both naming field and perception field. Otherworldly term and spatial term are two significant pieces of the representation

Recruitment through social media to understand that an ever-increasing number of organizations are venturing into online media field to enlist variable contender for positions. Starting at new pattern, enrollment did through web perusing, socialization through online media sites. The spotter needs the most skilled, qualified and biggest media enrollment candidate pool is called Social Media Recruitment. It is tied in with drawing in with web clients through web-based media blogging to source and enroll ability. Web-based media is intelligent media, for example, online journals; informal communities like Face book, Twitter, Yahoo! Gatherings and LinkedIn; and Video facilitating sites like YouTube. It resembles finding, presenting and teaming up with qualified experts on SMW whom association is searching for, who are expected to work with accomplishing objectives of enrollment. The utilization of online media as a source is the ideal enlistment and maintenance instrument in the time of blogging in reality the majority of the fortune 500 organizations are following it.

The main purpose of this project is to identify the brain tumor utilizing graphical user interface in MATLAB software. Neoplasm is a nun manageable growth of clump in brain tissues. The identification of tumefaction can be done by using either CT (computerized tomography) scan or MRI (magnetic resonance imaging). Mostly the MRI images are preferred over CT scan as they describe functional information of the tumefaction. The approach to design this paper involves four stages: - Pre-processing, edge detection, fuzzy-means clustering, followed by segmentation. This integrated approach allows the segmentation of swelling tissues with accuracy and reproducibility compared to manual segmentation. Finally, the tumefaction affected region is clearly displayed using segmentation.

Fixed asset that runs a proliferating age of absoluteness in a adjoining has three phases of action with the cease ambition of the executives. These levels are the management prepare, the canning date and the abandonment arrange. The date of administration focuses for the variety of allotment on evaluating the bread-and-butter motion or abnormally of the account common equipment of structures, for instance, accounting admeasurements of go back, remaining aftereffect period, and the bound banknote breeze techniques. The canning date focuses on aliment structures to mixture the advantage in excellent motion and top structure. Sustenance and accustomed blockage are the basic structures to manage at this stage. Expenses of acclimated aliment and casework will be exhorted accurately and rapidly. On the off adventitious that the admeasurements of aliment and casework that overhauls the admeasurements of the gain is excessive, it belongings as desires be promoted. The undergo date in Fixed property alignment is the abandonment arrange. The primary employments of the affiliation's alignment at this date are the acceptance of the accepting sum and apparent affidavit of the accustomed customers. The time table inspects all the three levels of fixed belongings alignment and infers that the appliance of alignment procedures is acutely cogent at birthday celebration of the stages in the blooming motion age of a fixed aid.

There is a creating availability in the present work environments that representatives don't give up their carries on with just because they work. Work and life remain the two significant foremost regions in the life of each person. Work Life Balance is presently arrogant an important job in deciding the movement implementation of government in any production by increasing obligation in the work place, it is extremely hard to the legislatives to maintain up a sensible amount of work life balance. For every Employee work life balance is very significant. Work Life balance is about having the balance among Professional life and Personal life of an employee. This study brings out that how the professionals are managing their work life balance. The sample size is 100-200. It also discusses about features distressing the work life balance like working hours, work load, stress. And the advantages that come from gaining work life balance like employee satisfaction, retaining employees, increase in employee productivity, decrease in employee absenteeism, improve in organization results

Fund Flow Statements abridge a firm’s arrival and address of funds. Simply put, it tells investors area funds accept appear from and area funds accept gone. The statements are generally acclimated to actuate whether companies calmly antecedent and advance funds accessible to them.
Fund flow statements are able by demography the antithesis bedding for two dates apery the advantage period. The increases and decreases have to again be affected for anniversary item. Finally, the changes are classified beneath four categories: (1) Abiding sources, (2) abiding uses, (3) concise sources, (4) concise uses. It is as well important to aught out the non-fund-based adjustments in adjustment to abduction alone the changes that are accompanies by flow of funds. However, assets accrued but accustomed and costs incurred but not accustomed reckoned in the accumulation and accident account should not be afar from the accumulation amount for the fund flow statement.
Fund flow statements can be acclimated to analyze a array of problems in the way a aggregation operates. For example, companies that are application concise money to accounts abiding investments may run into clamminess problems in the future. Meanwhile, a aggregation that is application abiding money to accounts concise investments may not be calmly utilizing its capital

there should be a point of convergence of the involving soul in the region of the entirety of its people. The issues to do to gather mTeams are absolutely critical as they make a commitment to the familiar enhancement of group people and in flip upgrade the all-inclusive generally execution of the team. This moreover reinforces the bond among staff and they are animated to work and increase objectives. Now and again, a definite state of the pastime when developing team members might want to be completed so as to move the group members to paint troublesome works of craftsmanship and increase their objectives.

Everything you want to know about overall performance appraisal. Performance appraisal is a proper gadget that evaluates the pleasant of a employee’s overall performance. The appraisal measures abilities and accomplishments with affordable accuracy and uniformity. It presents a manner to help discover areas for performance enhancement and to help sell expert increase. It should now not, however, be taken into consideration the supervisor’s best communiqué tool. The recognition of overall performance appraisal is as lots on the measuring and enhancing of the actual performance as at the future ability of the worker. This interest is accomplished yearly via a manager for his/her subordinates designed to assist employees apprehend their roles, targets, expectations, and performance success. Performance appraisal can be used for developmental in addition to administrative functions. It is an effective device to calibrate, refine, and decorate the capabilities of the worker.

Present paper gives the data about the effect of green marketing customer purchasing behavior. Research starts with environment and its problems and the reason why green marketing emerged. How people are influenced by this green marketing and how government and organizations are helpful in following the green marketing. This study also tells the emerging changes in green marketing over the years. It also tells how it is decreasing environmental pollution and people are using eco-friendly products. Data collected for this study is both major and minor data. The major data is gathered through survey and minor data is gathered through websites. The data is collected from 103 Respondents in india Region A quantitative research issued and data will be collected using social media and people around us. The collected is analyzed through Ms-Excel

India has a very old and rich tradition in the textile industry. Textile is a decisive part of Indian economy; The Indian Textile Industry has grown phenomenally and has an overwhelming presence in the economic life of the country. Apart from providing one of the basic necessities of life, textile industry also plays a pivotal role through its contribution to industrial output, employment generation and the export earnings of the country. Textile is a flexible material made by interlacing or connecting threads made of natural fibers like wool and cotton or synthetic (man-made) fibers like polyester. Textile floor coverings are textiles meant to be used on floor surfaces. They include carpets and related materials that are secured to a floor by something like staples, tacks or glue, as well as removable area rugs. Textile floor coverings are made by processes like knitting, weaving or needle-tufting, in which fibers are forced through a backing by using a needle. Another layer is then applied below the backing to secure the tufts in place. ISO and ASTM standards are numerous and cover a whole range of processes used in making textile floor coverings, whether handmade or machine made. Main objective of the study is To find out the export performance of live animal products of India during the period of 2005- 2019. The study makes use of statistical techniques such as Percentage analysis, Growth analysis, Standard Deviation, CAGR and CV in analyzing the data for finding the result

The money an individual obtain is somewhat exhausted and the rest put amazing to one side for meeting future costs. Rather than keeping the reserve funds inert one may get a kick out of the chance to utilize reserve funds so as to get return on it later on is called venture. One needs to contribute to acquire return on inert assets, create a predetermined entirety of cash for a particular objective throughout everyday life and to make an arrangement for a dubious future. One can stop their assets in speculation roads like non-attractive budgetary resources, securities, common store plans, land, value shares, currency showcase instruments, disaster protection approaches, stores, govt sparing plans, retirement items, money related subordinates and different valuable articles. The key parts of any speculation are hazard and return. The best portfolio is discovering balance between boosting the arrival and limiting the hazard. The goal is to choose interests so as to broaden dangers while not diminishing anticipated return

This get some answers concerning analyzes the effect of capital shape on ULTRA TECH from 2014 to 2019 so as to altogether evaluating the need and importance of the capital shape depiction, and a relapse query strategy used to be utilized to represent the effect of some key factors, for example, return on subsidizing (ROA) , Return on decency (ROE), entire obligation to entire property (TD), complete obligation to finish capital proportion (DE) to association execution. It looks at the connection between capital shape and friend’s execution. The capital shape signs (TOTAL DEBT AND DEBT EQUITY RATIO) are contrarily related to the organization's presentation

Many of the researchers attained concentration on CFRP (Carbon fiber reinforced polymers) and identified as maximum material for the implementing in the domains of engineering in former past years unsettled for their maximum robustness for less ratio weight, resistance of corrosion & resilience. However, process of machining is seen as the great challenge due to their high strength & high hardness. The selection of cutting tool is another aspect. The present contribution of experimental work deals with the impact of machining aspects on CFRP plates prepared by Hand lay-up procedure. Here, the simulation study has been conducted on a CNC Drilling machine by considering Speed, Feed and type of Cutting tool as parameters. A High-Speed Steel (HSS) Drill bit of size 12mm is used to drill the hole without coating and with titanium-aluminum-nitride (TiAlN) Nano coating. The drilling operation further enhanced once again by double coating of HSS tool with titanium-aluminum-nitride to describe the hole quality. The drilling operation is performed on six different thicknesses of CFRP plates to observe the quality of the hole at entry and exit. When the double coated HSS tool introduced it is observed that the quality of hole at entry and exist is same and without push-out delamination (POD). The observations are optimized by using Design of experiments (DOE). Finally, the outcomes exhibit the optimal drill hole quality surface on the CFRP metal through using double coating of titanium-aluminum-nitride on HSS drill bit is explained by using Taguchi Analysis for six different thickness.

The initial variations were pre-requisite in the internal-combustion engine, such as piston, exhaust, manifold for attaining effective torque, power and productivity. Moreover, it is also used for lessening poisonous gases of emission. These factors were the cause for enhancement of engine performance. The intent of intake manifold is disseminating the combination of air fuel equally over entire cylinders. Here, the objective of this manuscript is designing intake-manifold & examine the fuel injection position impact and mixture of air fuel on CNG SPFI performance. Here, modeling intake manifold is done by utilizing reverse data engineering. The multiple systems have been examined for deflection as well as stress. Moreover, the mixture of air-fuel has been assessed by utilizing analysis of computation fluid dynamics on the basis of uniformity index through changing location of injection. Furthermore, the turbulence impact was depicted by k turbulence method. Here, the performance of engine has been predicted by utilizing 1D experimentation software, where their outcomes have been compared to simulation outcomes.

Present paper improves the dynamic properties of materials like mode shape natural frequency, fiber reinforced polymer compounds by which the material moist is studied with macro mechanical study by same micro mechanical study. For support of an engine, motor, pump or any other mechanical device must be used Structural elements. Here high damping and stiffness is not so easy for mechanical components over vibrated moist that depend on visco elastic nature of material for obtaining all categories of material combinations like damping rubber polymers. Present paper takes 2 compound plates that have a dimension of 140 X 170 mm. one which has a rubber sheet which has inserted in between two carbon fiber sheet layers and others who have only layers of carbon fiber. Modal analysis of two compound plates has performed in ANSYS 19 software to obtain mode shapes and respective natural frequencies of the structure.

The main objective of this project is to assemble the vertical axis wind turbine (VAWT) to create power by utilizing wind energy. This kind of vertical axis wind turbine will produce power without utilizing generator or alternator, But by the utilization of attractive levitation idea. This wind turbine is intended to sustain all the services by storm and to keep the wings of the turbine rotating even though there is low wind force. This type of VAWT has three wings that are fond of to the rotating shaft. The wings are intended that recognizes the wind which comes from any directions. This project contains design and prototype of VAWT.

In today’s world, the small buildings have been replaced by sky-scrapers & maximum height buildings. Here, it increases one amid the component in natural weight-less derivation in the building due to closed frameworks obstruction. Due to this confine, the artificial sources utilization for building lightening has been augmented extensively with light sending concrete (LITRACON) through success made concrete block as more clear in the year 2003. Moreover, it more significant and pre-requisite for increasing back the replacement of weight less consumption in the framework, as concrete has been considered to be strengthen in compression & in instance of flexure & tension, the concrete has been deliberated as weak.

In this study, the effect of rotating vanes, installed on the body of the Coanda UAV is investigated both experimentally and numerically, with the aim of improving its aerodynamics performance. By constructing and testing two models of Coanda UAVs with and without axial vanes, for measuring the lift and dynamic pressure distribution on the body, 16% increase in lift is observed. In addition, a finite volume solver is utilized to investigate the flow over Coanda UAVs with and without rotating vanes. Numerical results show that the installed axial vanes on the Coanda UAV leads to increasing lift about 21%. The numerical results are in good agreement with the experiments. Overall, the results show that mounting axial vanes on the body of Coanda UAV increase lift. The consequences of installing an axial vane at the separation point of the fuselage surface on the overall lift of the Coanda UAV are discussed

The current society’s communication systems are usually depended on giving more priority for human – designed systems that only focus safety but not the health aspects. This anthropogenic learning behavior creates problems which have to be deliberation for present and is a severe threat to kindness. Many environmental professionals, who understood the impact of such system on the environment, are trying to solve these from nature as an alternative approach. This results in changing the aspect of approaching nature from enjoying nature to learning from nature. For past two decades, many new innovative methods were put forward to protect the humanity by providing sustainable solutions for the conventional construction process by mimicking nature. Bio mimicry engineering in architecture and civil engineering industry is an innovative and creative method, inspired by nature to solve various engineering and environment related issues like reduction in energy consumption, saving energy and cost, and finally all together leads to the reduction of environmental impact. This study gives possible concepts to solve the problems faced in construction field by mimicking the nature as an alternative solution.

This manuscript comprises with FG (functionally graded) analysis and finite modeling element shell
frameworks under divergent loading like mechanical & thermal. The analysis of free vibration of FG
spherical shell framework has also been depicted. In respect to research the impact of significant aspects
on FG shell frameworks responses, divergent kinds of shells were deliberated. Here, responses were
attained for FG shells were compared to pure ceramic homogeneous shells (AI203) and EN 31 Steel (pure
metal) and it is perceived that FGM Shells responses were in between homogenous shells responses.
Furthermore, static analysis done on FG shell structure is to determine the circumferential and
longitudinal stress, strain and deformation. Furthermore, modal analysis is to be determining the natural
frequencies

In this manuscript, by utilizing CAD (CATIA), 3 diverse arms of robot have been made. Here, there might be robot arm in divergent shapes like hexagonal, rectangular arm robot models & they are broke down with constant limit conditions with 3 distinct materials (AISI-1050 steel, carbon fiber, kevlar29). Static examination, modular examination& exhaustion examination has been performed. From these investigations, distortions, recurrence esteems, stress life of part & wellbeing factors were watched for all models. From every one of these outcomes here we will close which material has less distortion & which material has fewer measures of pressure esteems. From every one of these outcomes we might attain a thought that robot use for various conditions such as minimum weight / minimum pressure creating robots. Examination of the created structure with the first plan of metallic one is finished. It is seen that there is a noteworthy increment of firmness of the robot arm while diminishing its mass & latency to accomplish an extremely high explicit solidness, explicit quality & incredible powerful execution which will bring about great efficiency according to our necessity which is the ideal point of this task.

This paper involves the fundamentals of chain drive modeling through reverse engineering approach. In this examination chain drive is broke down utilizing finite element analysis for wellbeing and dependability. A cad model of chain drive is designed in CATIA V5 part module. Pre-processing and post- processing operations are done in ANSYS workbench.
In this project, we applied material properties of AISI 1050 steel, EN 8 steel, EN 32 steel, EN 19 steel and C45 steel at different vehicle speeds (40,60 and 80 km/hr) values for Von-Missies, total deformation, equivalent strains and stresses has been compared

In this work, the problem of controlling the inverted pendulum has been investigated in detail. A different application that resembles inverted pendulum system has been studied. It considers the model, state space form representation with ricotta equation for optimal control applied to the nonlinear system with state and output variables. Later, to control the system several control system techniques has been applied in the literature survey. The challenging part is the fuzzy based method, to control position and for stabilization of the inverted pendulum with the application of appropriate rules of the overshoot and settling time is obtained within the desired value. The fuzzy based LQR is designed for a nonlinear system using MATLAB/SIMULINK. Also, a detailed study about the mathematical model of an inverted pendulum system is deliberated. The position of inverted pendulum is tuned using the same LQR controller. The simulation results show the performance of fuzzy LQR. By varying the pendulum parameters to different values, the robustness of the controller that has been used is checked.

The agricultural motors need a more precise control and simple operation to have wet fields and better irrigation systems. The PV driven SRM is considered in the paper because, the robust operation and speed controls are available. The closed loop control of the motor is also tested, and a comparative analysis has been done for various controllers applied to SRM and the performance characteristics have been analyzed. The results obtained in the PID controller, Fuzzy logic Controller, SMC controller and the hybrid Fuzzy – neural controller, the closed loop control are compared to the open loop control.

Decentralized sustainable power source advancements dependent on, for example, Photo Voltaic (PV) or/and Wind Turbine Generators (WT) address the above boundaries to a huge degree and are subsequently considered as developing exchange power solutions to residual loads. There is stand-alone micro grid PV/WT with utility grid connected systems using power storage component i.e. PV/wind case, PV/WT/grid case along WT-Battery-grid connected cases were designed, analysis along comparisons done in this paper. The design along ratings is developed about to micro grid deliver the residential AC load presented in the HOMER. PV/WT systems are considered the maximum power point tracker (MPPT) is combined. In HOMER simulations, this concluded WT-Grid micro grid case is the most economical explication. Cost of economy along sensitivity results within sun radiation and wind data are also examined in particular location

Volatility in any asset class in an important topic to study since it is directly related to risk and return of a security. Risk and return of an asset are the things, investors have always been interested in. Market returns are studied with some important key factors and volatility in the market is one of the most important among them. In the last two decades, China has emerged as one of the largest growing economies in the commodity futures market. In this paper, there is an attempt to present a review of papers related to commodity futures market volatility with special reference to Chinese commodity futures market. We understand the term with its importance and growth of the Chinese futures market. We try to gain an insight into the type of linkage that Chinese commodity futures market has developed across the world. This study will help in understanding conceptually that how china has successfully implemented the economic reforms in the commodity futures market by the evidence of literature available on the volatility spillover in the commodity futures market in the growing economy and its linkages across the world.

Electric vehicles (EVL) are eventual increase along hybrid energy electric vehicles also lead require foe rapid charging. Rapid charging needs very huge power dynamics, these rapid charging’s not sustained by normal electrical utility. In this manner, the utilization about to renewable energy sources close by the electrical network by EVL charging endures growing territory of intrigue. In this work, a photovoltaic (PV) renewable source is utilized to help huge dynamic power EVL charging’s. Be that as it may, PV output is an irregular control about to subject to the climate situations. In this way, renewable PV energy source is combined to battery to store the energy and it tied with grid for rapid dynamics, giving the consistent source to on location EVL rapid charging about to sustainable power source positioned for quick charging stations, PV established quick recharging plants concern with cost adequate, if number of EVL s connected to grid this can very efficient, reliable and cost effective also for rapid rate of charging plants. Be that as it may, quick charging plants, particularly super-quick charging plants may give pressure power network within probable over-burden at cresting time, unexpected power stress along with voltage droop. In this paper examines the complete model for multi connection converters established to EVL recharging plants constructed along to PV power plants with storage system like battery. In this project, fuzzy logic control plan along with PV generation, EVL rapid recharging plants along with energy storage device implemented to enhanced adjustment in addition to power droop variations, and compensations of voltage sag. Therefore, in the impact of grid power in decreased because of the coordinating comparing every day recharging request and satisfactory daytime PV power production. Different charging methods are introduced to EVL charging using PV combination of storage system analyses in MATLAB simulations results.

Reliability is one of the quantifiable quality features of the software. Software reliability growth models (SRGMs) are used to assess the reliability achieve at different test times based on statistical learning models. Conventional time based SRGMS may not be accurate enough in all situations and such models cannot identify errors in small and medium sized applications. Numerous traditional reliability measures are used to test software errors during application development and testing. In the software testing and maintenance phase, however, new errors are taken into account in real time in order to determine the reliability estimate. In this article, we suggest using the Weibull model as a computational approach to solving the problem of software reliability modeling. In the anticipated model, a new distribution model is projected to develop the reliability estimation method. We compute the model developed and balance its presentation through additional popular software reliability increase models commencing the literature. Our test consequences demonstrate that the planned Model is greater to S-shaped Yamada, comprehensive Poisson, NHPP.

The performance of any organisation is generally based on the competency possessed by the employees working i.e. the existing human resources. This expertise never come in a day or two, it always takes time to be developed. The experience gained over the period is regarded as knowledge, so in any firm Knowledge is regarded as valuable intellectual asset. Dennis J. King, US department of State says that the Knowledge Management is the systematic process and strategy for finding, capturing, organizing, distilling and presenting data, information and knowledge in a domain specific. Knowledge management is essentially about getting the right knowledge to the right person at the right time. It involves a strong link to business strategy, understanding of where and in what forms the knowledge exists within the organisation and its processes, and ensuring that initiatives are accepted and supported by various members of the organisations. Knowledge management may also include new knowledge creation, or it may solely focus on knowledge sharing, storage, and refinement. It is always important to remember that knowledge management is not about managing knowledge and storing it, it is about sharing and using it.
The Automobile industry is operating in a dynamic and competitive environment, hence, it is essential to learn by everyone from all the stakeholders. This study is to find out the knowledge sharing practices being followed in various Automobile outlets located at Bhikaji Cama Place at New Delhi. The present study is an attempt to find out whether there is any relationship between knowledge management practices and performance enhancement in the service industry. The investigator has selected male and female employees in various outlets as part of this study. A completely validated research Tool has been administrated on the sample to study the relationship between Knowledge Management practices and Performance enhancement. The methodology followed for the investigation is survey method. Descriptive as well as inferential statistical techniques have been used to interpret data

Women entrepreneurships important for the development of our country. A majority of the Indian women live in villages. Therefore, the development of rural women entrepreneurship is necessary for the true development of our country’s economy. The Government of India and the Planning commission of India acknowledged that rural women entrepreneurship is to be promoted for the economic development. The rural women of India are trying to foray into entrepreneurship. However, the problems encountered by the rural women entrepreneurs are completely different from those of their urban counterparts. Tourism sector can provide lot of chances for the rural women development through entrepreneurship. This phenomenon of contemporary practices in tourism is deliberated about in this study bringing forward the four case studies of rural women entrepreneurs in tourism sector. The focus of the present paper is to gain insight into the concept of rural women entrepreneurship in tourism sector focusing on to examine the need of rural women entrepreneurs in tourism, barriers as well as difficulties experienced by rural women, issues and challenges in contemporary practices in tourism andto suggest measures for women empowerment from tourism.

Indian country’s Indian economy depends on agriculture. Nearly 70% of the people live on agriculture and allied sectors. The agriculture is the main source of farmer’s income. The farmers are the back bone of the country as well as the agriculture. The research objectives are to evaluate the role of Farm Science Centres (KVKs) in agri sector, to examine what are the services are provided to agri farmers related fields of agriculture and allied sectors, to examine non awareness on agriculture information and technologies may be leads to farmer’s suicides? or not and to evaluate the performance of 2 selected Krishi Vignan Kendras (Farm Science Centres)and Is it FSCs impacts on farmers awareness and perception towards to communicate of agriculture information and technologies in A.P ? This research follows primary and secondary data of methodology for evaluating the performance of 2 selected KVK’s in A.P. This paper uses SPSS for data analysis. After do the analysis of data the report shows that in selected two area (Garikapadu (Krishana Dist) & Darsi (Prakasam dist) farmers are no pleased by KVKs offered facilities. yet, the selected two kvk area agriculture farmers are not impacted related to disseminate of agriculture information and technologies. Overall, this research paper explains the performance of FSCs in choosing 2 areas in AP is well happy and agri farmers are good opinion towards Farm Science Centers (FSC) functionalities. Further this study explains to the audience of farmers not getting of awareness on agriculture information and technologies it may be leads to farmers’ suicides.

Vijaya diary is one of the most premium milk products in Andhra Pradesh It has complete wide range of milk products from milk to sweets. Which has a sophisticated distribution channel networks all over Andhra Pradesh? The objective of the study is to evaluate the channel structure and satisfaction of the Vijaya diary distributors in Vijayawada. Distributors play a vital role as a link between the producer and its consumers. The success of failure of a Company significantly depends on its distributor’sperformance. Therefore, an important responsibility of a manufacturer is strongly support to its distributors in Vijaya Diary firm of Andhra Pradesh. Data was collected via structured questionnaire and analysed using SPSS. distributor trust, distributor attitude, distributor Commitment, Co-operative norms and distributor loyalty are considered as independent variables or predictors and distributor satisfaction selected as dependent variable, relationships among the constructs was examined. The results provide evidence that the firm formulating strategies to satisfy its distributors by developing long-term and profitable relations.

Mechanical developments have encouraged the financial segment to open efficient conveyance channels. Computerized banking is the quickest developing channel of banking therefore few individuals are strolling into bank offices nowadays. Banks presently require waiting applicable by taking into account the necessities and desires for the clients and to the innovation progressions. By offering better types of assistance and items clients can use. Banks depend on a social occasion, handling, dissecting, and giving data to get together the requirements of clients. Given the noteworthiness of data in banking, banks were among the most punctual adopters of robotized data handling innovation.
The enthusiasm behind this examination is to look at the variables which influence the computerized financial acknowledgment of clients in Indian banks by utilizing the adjusted unified hypothesis of acknowledgment and utilization of innovation (UTAUT) model. The presentation hope, encouraging conditions, exertion hope, saw worth, propensity, and epicurean inspiration are taken as autonomous factors. Essentially, the aim to receive Internet banking is taken as the middle person, and real use is utilized as the needy variable.

For the economic empowerment of women, they depend on self-help groups in rural and urban areas. Thus SHG is a voluntary group formed by homogenous women and it is a holistic program of micro-enterprises covering all aspects of self-employment, organization of the rural poor into SHGs, and their capacity to the planning of activity, technology, building, clusters, infrastructure, credit, and marketing. Telangana State has about 4.35 lakh SHGs as of the end of March 2018. In the Narsampet division, there are about 5690 self-help groups. Financial help is extended by the Central and State Government at 7% interest. Of this, the Center pays 4% and the State government 3%. The financial support to the SHGs is routed through the banks. The SHGs are expected to promote savings, self-employment, relevant skill-building, gender equality, optimum utilization of rural resources, and collective decision making. The group should devise a code of conduct to bind itself because of the fast-changing environment. Savings collected will be the group-specific or corpus fund. Such a corpus fund should be used to advance loans to the members. As such the group develops financial management terms and conditions covering the loan sanction process, repayment schedule & interest rates. The present study examines the financial strength of about 160 groups federated into the Mutually Aided Women Credit Society by considering aggregate savings, credit dispensed, recovery of loans, and overdue loans.

Cash is the key input essential to keep the business running on a continuous basis. Shortage of cash will result in disruption in manufacturing operations of the enterprise. On the other hand, excessive cash results in idle cash which will not contribute anything towards profitability of the enterprise. Therefore, an Enterprise should maintain optimum cash. Cash is the common denominator for which all current assets can be reduced. Hence, Cash Management is one of the important topics of Working Capital Management. Cash Turnover Ratio and Cash Turnover Period are the tools used for understanding efficiency in cash Management. Efficient Cash Turnover is not only important in Large Businesses but also in Micro and Small Businesses. This Research paper focuses on Cash Turnover in selected Engineering Micro and Small Enterprises in the state of Andhra Pradesh in India. Two-way ANOVA is used for framed hypotheses testing. Financial tools used include CTR and CTP

Multi-dimensional image processing techniques are more helpful for medical image diagnosis process. In this research work brain MRI or CT scan images are collecting for input and attain the preprocessed image. Depending on scalability and integration on medical images we get multi model diagnosed image. The 2 scale multi dimensional sparse representation is applied on selected image for acquiring the original and de-noise image. This method improves the performance metrics such as accuracy 98.45%, recall 98.98% and throughput 97.58% have been improved

As digital cameras become more enhanced and smaller, CCD sensors can relate to only one color of a pixel. This color mosaic pattern is called as Bayer Pattern (BP) which requires processing to obtain a color image with a higher resolution. Each image pixel that undergoes interpolation has a full color spectrum based on surrounding pixel colors. Here we introduce Adaptive CFA(ACFA) interpolation model. For normal image regions hue technique is used while edge regions adapt the new technique. It is proposed to apply fuzzy logic and fuzzy rule which is based on Genetic Algorithm that uses random local search to enhance the PSNR. Medical image reconstruction by this proposed fuzzy based method outperforms the other medical image reconstruction methods.

Cognitive radio appears to be a natural solution to the problems of scale and complexity resulting from the great popularity of wireless communications and the evolution of radio technologies. A cognitive radio is an intelligent agent capable of adapting to its operational context to respect the regulatory framework controlling access to the spectrum, satisfy the user's needs in terms of quality of service, and ensure optimized management of available resources (radios, networks and equipment).This new paradigm is directly linked to the development of embedded intelligence, the subject of this paper.
In this paper, we detail the design of a cognitive engine (CE) structuring the reasoning and learning operations necessary for the supervision of the dynamic reconfiguration process.
It is noted that supervised and unsupervised learning methods have been projected for various learning tasks.This paper presents ametaheuristic that is Grey Wolf Optimization (GWO) as approximate methodfor the optimization of fitness function of proposed cognitive engine. In order to establish performance evaluation of CRaccording to different criteria that we have set, such as the bit error rate (BER), output power and channel attenuation.

Cognitive radio is a software-based technology that provides dynamical access to unused or underused spectrum bands and enables spectrum sharing without causing any disadvantage among users. The performance of the cognitive radio in wireless communication networks depends on the accurate and fast detection of spectrum gaps.
The idea of Cognitive Radio is to share the spectrum between a so-called primary user and a so-called secondary user. The main objective of this spectrum management is to obtain a maximum rate of exploitation of the radio spectrum, for this cooperation between users is necessary. This paper provides a spectrum sensing approach using cooperation and competition to solve the spectrum allocation problem and thus ensure better management. The aim of spectrum detection is to detect spectrum gaps accurately and quickly. Therefore, the performance of cognitive radio networks largely depends on the spectrum sensing function. Particle Swarm Optimization (PSO) and Cultural Algorithm (CA) are proposed to increase spectrum detection performance in cognitive radio networks. The collaborative spectrum detection performance analysis of the proposed method was performed in Rayleigh fading channel in addition to the non-damped AWGN channel. As a result of simulation studies, it has been shown that a more effective perception can be made in cognitive radio networks by optimizing the threshold value expression from the historical data

Literature gives a huge scope to study, discuss and understand various layers of practical life reflected in different genres. Generally, it is a belief that the fiction is the powerful driving force to inculcate the ideas of the writer into readers mind. In order to understand the relation between the literary text and connecting the problem discussed in the text with the reader spread a huge debate among the literary circles in India. The critical discourses revolved around ecofeminism, which had its roots in the West, had also marched fast into Indian Writing in English. However, there were a host of Indian women writers who exhibited Ecofeminist identities in their fiction; the present paper tries to project the same in the light of Kamala Markandeya writings like Some Inner Fury (1952), Nectar in a Sieve (1954), A Silence of Desire (1956), A Handful of Rice (1966). This paper also highlights how Markandeya differs from the West in the conceptualization of ecofeminism and established her own ideas. In the process of the discussion, the paper first explores the intricacies of ecofeminsim and then explains the concepts of ecofeminism in the select novels of Markandeya comparing them to the Western critics like Datar, Plumwood V and Warren J K.

The recent investigations concentrate that progressive development technology (PDT). It is a leading change in the composition of workers in the favor of high skilled persons. Moreover employee growth and empowerment policies are ratified to encourage these variations. Some of this survey proposes that when investigate these effects it is an important differentiate between PDT and integrated PDT. The determination of this investigation is to inspect the issues of complete firm level of technology acceptance. The human resource management and its policies are enables the empowerment changes related to current situations. In this work skill promotions are implemented through PDT. At final compositional changes and decision making techniques are integrated through PDT. These are HR strategies and integrated through current human resource system. This PDT methods get 98% correctness, 78.42 % control, these are good results compared to existed analysis

The study has been carried to generate an empirical data on the reliability of the talent turn out with special reference to civil engineer’s perspective questionnaire and a survey has been administered in civil engineering community in India. The reliability of the questionnaire has been tested with Cronbach's alpha and Principal Component Analysis (PCA) by engaging the Statistical Package for the Social Sciences (SPSS). The questionnaire is 5-point likert's scale survey consisting of 56 items. According Bartlett's test of sphericity there is sufficient and significant correlation in the data for factor analysis (Chisq(1540) = 3490.55, p < 0.001). The principal component analysis and Scree plot reveals that there are 4 factors (constructs) that can be constructed from the 56 questions. However, these 4 factors can only explain 44% of the variation in the data. In addition to Cronbach alpha test, the data has been investigated with reference to the omega reliability concept. During the study of test out come of both Cronbach alpha as well as Omega Work Environment and Nature of Work, Communication and Motivation, Project Site Location factor's scale found to be weak based on Cronbach’s reliability criterion but the same is acceptable as per Omega reliability criterion, where as Performance Appraisal system, Promotion and Carrier Development factor's scale found to be weak with reference to Cronbach’s as well as Omega reliability criterion.

Most of the people requires genuine information about the online product. Before spending their economy on particular product can analyze the various reviews in the website. In this scenario, they did not identify whether it may be fake or genuine. In general, some reports in the websites are good, company technical people itself add these for making the product famous. These people belong to media and social organization teams, they give reviews with a good rating by their own firm. Online purchasers did not identify the fake product because of this falsification in the reviews of the website. In this research,the SVM classification mechanism has been used for detect the fake reviews by using IP address. This implementation helpful for users find out the correct review of online product. In this accuracy is improved by 98.79%, F1 score increases by 10%.

Institutions of marriage as well as family which are essential for a community, have been situated supporting encumbrances of sui generis currently. Especially acidulous marriage related pressures are compelling women and stand as nit-picking years in their initial wedded life. Two novels of Sudha Murthy are put to test here: Sudha Murthy’s Mahashweta (2007); Gently Falls the Bakula (2008). How pain in the lives of the two women-protagonists renovate their path of journey towards empowerment that sanctions them a skill-acquisition through chopping and scissoring put on by famous Portuguese professional foot-ball player Cristiano Ronaldo to fight back on wrong-doing which has been showcased here as ‘Naari Sakthi’(Women-Empowerment) of both Anupama and Shrimati textually and pictorially.
“There are no more distinctions between . . . male and female, but all of you are one in Christ Jesus.” (St. Paul, Galatians 3:278)

Regression is the most extensively used statistical technique for explaining theoretical relationships and for prediction. This method can be viewed as a mapping from input or response variables space to an outcome variable space. If the assumption of the model is met, metrics like R2 F statistic and significance of t-values of the regression coefficients are used to judge the goodness of fit of the regression model. Similarly Mean Square Error (MSE) is used to judge the predictive power of the regression model. For judging the relative importance of the response variables in an estimated regression model, the magnitude and signs of the regression coefficients are considered. However, this approach is quite arbitrary and many a times inconclusive. In this context the present paper demonstrates the use of some of the relative importance metrics (lmg (Lindemann, Merenda and Gold,1980, pmvd (Feldman,2005)) which provides the decomposition of variance explained by a regression model into nonnegative components. It is shown that these relative measures are comparatively better than the magnitude and sign of regression parameters for assessing the relative importance of individual predictors in regression.

shopping will be improvised through experience and experience is one of the most dynamic factor, shoppers when go for shopping and experience and explore themselves in a mall naturally every human being tries to co relate his desires, needs ,expectations, towards his shopping needs also aspires to shop any product or service etc due to influence of surroundings , people, friends, relatives, celebrity etc or to any instinct or any past experience hence this association to relate can be in micro & macro context micro can be individual like personal experience standpoint & macro can be from social, cultural, economic & society standpoint hence this article is focusing upon experiential marketing ,investigating the role of the term ‘Relate’ or “co relate with experiential marketing impacts shoppers shopping decisions during visit at shopping mall.

Retail Industry is taking new shape every now and then as per the trend especially due to informational technologyboom the concept of business, customer, shopping has taken a steep turn in all aspects from sourcing till making the products available in retail outlet reaching till final customer .experiential marketing is one of the happening concept as shoppers at malls always expect new & exciting experience after every attempt of shopping they make. shoppers tend to introspect themselves as what they gained out of every action & step made for shopping from experience point of view as how they felt, realized, experienced, enjoyed, benefited etc after visiting a particular mall. Hence thinking and action is an attempt made by the shopper calculatedly in order to maximize their shopping experience after every next visit. ‘thinking and action’ are the interrelated factors as they tend to happen simultaneously during the course of shopping products, services, experiencing movie, gaming, dinning, etc. this article spotlight on the side of experiential marketing being one of the strong factor which will impact upon shoppers ‘thinking and action’ during the course of shopping at malls.

The financial sector is one of the pillars for nation’s economic empowerment. Hence, all the nations would like to give more importance to the banking sector. In the banking sector, a lot of reforms have been taken place based on the marketing aspects of banks. As per the reforms in the banking sector, customers are one of the most competitive scenarios. This examination endeavours to decide noteworthy components of relationship showcasing and their effect on client strengthening and satisfaction. The paper finishes up based on a broad writing audit that relationship promoting measurements like quality services, Co creation, Transparency, Personalised communication, problem management, client education, customer participation, and technology ought to be taken into genuine thought by banks to engage the clients which thus improve consumer satisfaction and degree of consistency. Subsequently, both gatherings get shared advantages.

Banking is a backbone for economic progress of any country, India is not an exception. After Nationalisation till liberalisation the progress of banking industry mainly focused on public sector banks. After liberalisation private sector banks has played an important role for the progress of Indian economy. Government of India initiated diverse structural reforms in line with global banking industry such as implementation of Basel norms, listing in stock exchanges, automation of operational activities, consolidation of selected public sector banks , as a part of financial inclusion Pradhan Mantri Jan Dhan Yojana (PMJDY), National Investment and Infrastructure (NIIF), allowing to operate small and payments banks and others. The current study highlights risk and return of banking stocks which are part of Nifty index between 2 periods which includes period1, the UPA government (2010 to 2014) and period2, the NDA government (2015 to 2019). It also examines the pattern of return and risk of banking stocks between two periods and relates different policy decisions. The study used different statistical techniques like Return, Average return, Standard deviation, Variance and Beta. Coefficient of variation analysis is to understanding the relationship between two periods risk and return of banking stocks.

The foreign institutional investments have become an important factor impacting the stock market volatility. The fluctuations in the stock market(SM) affect the returns of the investors. Also one of the reasons of fluctuation is foreign institutional investments. This study is an aim to find the impact of FIIs on the Bombay Stock Exchange (Sensex). BSE is the oldest stock exchange of India and ranks 10th in term of market capitalization in the world. The tools used in the study is Augmented Dickey Fuller test to study the stationarity of the time series and the GARCH model has been used to study the impact of the FIIs on the volatility of the BSE-Sensex. The phase of the learn is from January 2015 to December 2019. Monthly information have be taken on behalf of research. The research study outcomes revealed that the FIIs have very important impact on the volatility of SM i.e. Bombay Stock Exchange- Sensex

Indian stock market is the barometer of the Indian economy. The stock promote is impacted by various economic factors and Inflation is one of them. The study established the cause and effect relationship of the Inflation i.e. Consumer Price Index and the Bombay Stock Exchange index Sensex. The month wise data for the research has been taken from January 2017 to December 2019 for CPI (Consumer Price Index) and the Sensex returns. Unit root test outcome stated that the data is stationary, and the cause and effect relationship was found by the Granger Causality experiment. The outcome of the test states that there does not exist a cause and effect connection among the inflation & the Sensex proceeds.

Internet of things (IoT) is developing day by day and it is the future of computer technology and networking. This paper explains about the working, plan and implementation of IoT and wireless Sensor based surveillance robot using Arduino uno controlled by hand gesture. The main motto of the gesture recognition to reduce the human power to control robot to enhance and showcase their skills. The hand motion or gesture was recognized by using gyroscope accelerometer. There are so many ways and algorithms are there and implemented to recognize the hand gesture. Here we are dividing the robot into two circuits, transmitter and receiver. The Transmitter circuit contains Gyroscope and Accelerometer (MPU6050), Arduino UNO, Transceiver (NRF24L01). The Receiver circuit contains Motor Driver (L298D), Transceiver (NRF24L01), BLET (Bluetooth low energy tags), Arduino UNO. The motto of the project was according to the hand motions the robot must react. Hand motion detected by the gyroscope accelerometer. The Main Reason of the mixing the BLE Tags with Robot is to help the soldiers who are at the border of the country, so that at the time of war they can move their robots by their own wish so that they can know where the Land Mines are present and can see the robot status in mobile app.

The ability to predict the reaction of breast tumors to neoadjuvant chemotherapy from the get-go over the span of treatment can delineate patient’s dependent on the reaction for explicit tolerant treatment procedures. From now on, reaction to neoadjuvant chemotherapy is measured as being based on physical examination or breast imaging (mammogram, mri, or normal MRI). There is a powerless connection with these projections and with the actual tumor size as measured by the pathologist through authoritative procedure. Given the numerous options open to Neoadjuvant chemotherapy (NAC), it is important to develop a plan to predict response over the care period. Sadly, as long as certain people are not seen as responding, their condition can never again be specifically resectable, so this situation should be preserved at a strategic remove from progressing response appraisal protocols throughout the care regimen. This paper provides a review of all the existing frameworks of machine learning involved to perform accurately neoadjuvant chemotherapy responses

The main focus of the research was to explore the Indian teachers’ perceptions and their classroom practices on politeness strategies of target language. Questionnaire was designed and administered to 60 English teachers who were working for ten different engineering colleges.The aim of the questions was to understand the views and practices the English teachers on politeness strategies of the target language. The data collected was analyzed by using descriptive statistics like percentages, mean (M) and standard deviation (SD) by IBM SPSS Statistic Data Editor 20. The findings of the researchrevealed that all the teachers of English knew the aspects of politeness of target language were important to teach for effective communication in formal discussion andconversations, the syllabus of English and
learning materials offered to the students had no sufficient focus on the component component. The finding alsoexposed that most of the teachers considered the students’ level of using polite turn takings in
formal discussions or conv ersations was unsatisfactory and they strongly felt that their students had to
improve their awareness and use of polite expressions in the target language to a great extent extent. The findings recommendedthat classroom was the best platformand explicit instructions in the component were appropriate measuresto address the gap in teachingthe target language.

Data comes from diversified sources in a distributed computing environment. Outlier detection in such environment is challenging as it involves a strategy to mine outliers. Parallel processing of data available in multiple sources can provide outliers in short span of time. In fact speed with which outlier are mined and interpreted to make well informed decisions is very important in many real world applications like disease outburst detection in healthcare domain. Towards this end, in this paper, we proposed a framework known as Distributed Distance-based Detection of Outliers (D30). The framework guides the process of discovering outliers from large data sets. An algorithm named Distributed Outlier Detection (DOD) is proposed to achieve this. The algorithm exploits the notion of outlier detection solving set to have effective detection of outliers. Two synthetic datasets known as G2d and G3d and a real dataset from NASA named 2Mass are used to evaluate the proposed algorithm. We built a prototype application to demonstrate proof of the concept. The empirical results revealed that the proposed algorithm is capable of finding outliers effectively. The algorithm showed better performance when compared with other state of the art outlier detection algorithm that employs distributed approach in mining outliers

As the name specifies “HOSTEL MANAGEMENT SYSTEM” is a project which is developed for the management of several activities that happens in every hostel. These days there are various educational institutions increasing for every day and these are followed by the requirement of accommodation for students who wanted to study in these institutions. So there is a lot of work to be done for a student to be joined in this hostel and in these contexts generally there are no applications or any software developed. So our project is much helpful in these contexts. This project is developed based on problems faced by the hostel management and avoids many problems which are caused by man work which causes problems like incorrect data entry and several other problems. By identifying these drawbacks caused by current technique which interrelated for developing an automated and digitalized system known to be the hostel management system which gives much more comfortable and compatible with the existing system and this is the system which is more user friendly. The proposed system has superior efficiency, and it surmounts the shortcomings of existing technique of hotel management system. Also, it has few advantages while the system is generating such as providing high security, avoiding data redundancy, data consistency, easy handling, stored record, data updating, less laborious work and less human error.

It is evident that the banking sector plays a vital role in the economic development of any country across the globe. Indian Banking sector was crucial for the Indian economy over the years which had a stable and improved performance. Any service sector, especially the banking sector has to retain the confidence of the customers and at the same time the level of satisfaction should be high which has numerous dimensions differing among the customers along with the place of operation. Banking sector is one of the customer driven sectors where the customer service is distinguished and influenced by incessant technological updation, swiftly changing market conditions, rigorous competition, rapidly changing demands of the customers along with the economic uncertainties pose challenges to the financial institutions in providing services to the customers. Customer satisfaction is important for the growth of the banks which will also impact the economic progress of the country. The present study aims at identifying the level of satisfaction of the customers on various services rendered by the bank such as the Basic Banking Services, Deposit Facilities, Credit Facilities, E-Services and Other Facilities. The study has 302 respondents which is five percent of the total households from five villages of Thallarevu mandal of East Godavari district in the state of Andhra Pradesh. In the study, it is observed that significant relationship exists between the satisfaction levels on the various services and products offered by the bank and the villages where they are residing.

Derivatives which are regarded as Risk Management Tools which helps the investors to minimize different types of risks faced by them. Trading in derivatives is increasing day by day in terms of its volume which indicates the importance of derivatives. Various derivative products are emerging to meet the needs of different investors. Many types of equity derivatives etc are trading in major exchanges in India. The present paper studies the trading in Equity Derivatives in NSE & BSE.

This research paper proposes the past decenary, substantial improvement in computational ability and betterment in algorithms for analysis of Images has gained vast fame in resolving challenges in the area of medical diagnosis. Subsequently, computerized tissue histopathology at present is becoming tractable towards the implementation of digitized analysis of images and deep learning methods. Cancer is a cluster of disorders involving irregular cell maturation with the capability to conquer or proliferate to other organs of the body. Detection of cancer in the earlier stages is a exacting task due to which many people are prone to death. Treatment of cancer benefits from the pace, perfection of Deep Learning-obliged practice of diagnosis. Deep Learning techniques are utilized to diagnose the features of progressed carcinoma with enhanced perfection compared to individual pathologist. This paper suggests a deep convolution neural network for categorizing a tissue as malicious, there after segregate the tissue then ultimately perform multi-class detection and classification of Breast Cancer disease and its stages in histopathology images

Deep learning have earned major popularity in the today world by captured best results in medical analysis field. This research explained the stages of Oral squamous cell carcinoma using the convolution neural network model in deep Learning. Whenever the pathologist examine the photomicrograph image they faced a lot of difficulties to process and finding the stages of oral squamous cell carcinoma into poorly differentiated, medium differentiated and low differentiated. To avoid the difficulties of stages differentiation, the convolution neural network model has been implemented in this research. In the methodology part of Deep learning basically needs large number of data to perform good result so in this work image augmentation was performed to improve the better performance level of deep learning. Finally segmentation has been implemented and the segmented values are given to the convolution neural networks and it gives better accuracy of 85% when compared with all other deep learning techniques

The one of the main objectives of any energy efficient routing mechanism of Underwater Wireless Sensor Networks (UWSNs) is to extend the network lifespan. The characteristics of underwater environs and acoustic communications make to prolonging network lifetime is a challenging task. To achieve the same, topology control and optimize energy consumption is needed, which can be achieved through clustering. In this paper, we proposed a sector-based forwarding scheme through dividing 3D network in sectors of same size and dimensions. Forwarding takes place in a sector-by-sector in a single hop manner via some nominated nodes called sector-heads and gateway nodes. The sector-heads of each sector elected on the basis of residual energy of the nodes, and dynamically changed after reaching energy threshold decided to forward data packets. The gateway nodes are some boundary nodes utilize when sector-head does not have sufficient energy to forward data packets towards other sector- heads. However, the proposal utilizes the depth information to forward data packets. Hence, all the communication is done towards vertical direction in, each sector-head adaptively based on the depth of a particular node. The proposal is evaluated and analyzed against some existing energy efficient routing mechanism, and the simulation outcomes reveal significant improvement in energy consumption, network lifetime, and packet reception rate of the network and reduces the overall network overhead

Human Emotion detection either through face or speech became a relatively nascent research area. Speech Emotion Acknowledgment concerns the undertaking of perceiving a speaker's feelings from their discourse chronicles. Perceiving feelings from discourse can go far in deciding an individual's physical and mental condition of prosperity. These emotions can be used for further assessment of patient’s status for better diagnosis. This paper aims to categorize emotions in speech into four different categories which are happy, sad, angry and neutral. For this analysis, four different algorithms - the Support Vector Machine (SVM), Multi-Layer Perceptron (MLP), Random Forest (RF) and Convolutional Neural Network (CNN-1D) are developed. Detection of Emotion through speech of an individual might be a bit hectic, because of the dynamic changes in voice signal of the same person within a very subtle period of time. So, features like mfcc, chroma, tomez contrast and mel were extracted and given to the model in order to detect the emotions. Those features were given as input to the algorithms and the empirical results implicate that Convolutional Neural Network-1D performs well comparatively. RAVDESS database is chosen for the categorization. A good recognition rate of 89% was obtained from CNN-1D.

Our project aims at detecting any abnormal behaviour in CCTV footage to solve many accidents, crimes, security issues, etc. CCTV footage gives the best information to detect any real-time abnormal behaviour and hence the CCTV footage is incorporated in the proposed project. Dataset is prepared by adding abnormalities by the use of Gaussian blur/noise, to replace the training set of normal images with abnormal images and to make sure that there is no bias in the dataset. To get better performance from our dataset, feature normalization is harnessed. Moreover, we used a Convolutional Neural Network (CNN) as our model to convolute and predict the images in our dataset, which achieves better performance than any other neural network existing today. The proposed neural network performs optimization based on Nadam and the experimental outcomes show that the proposed neural network offers superior results compared to that of its peers. Therefore, it has been observed that the proposed neural network obtains better accuracy than conventional neural networks.

The brain tumors are most common and aggressive disease, leading to very short life expectancy rate. Thus, treatment at initial stage is a key stage to improve the quality life of patients. There are image techniques such as Computed Tomography (CT), Magnetic Resonance Imaging (MRI) , ultrasound image which are used to evaluate the tumors in brain, lung and liver. MRI images are used to diagnose tumors in the brain. There are few limitations for the manual classification of tumors. Hence automatic classification scheme is introduced to prevent the death rate of human. In this work, automatic classification is done through MR images using neural networks. In our proposing system, we are implementing new algorithm for detection of tumors with more accuracy. Thus, the automatic tumor detection will more accurate.

Machine learning based outlier detection methods are widely used in various domains. However, an ensemble of such detection methods could leverage detection performance. The existing ensemble methods made up of multiple unsupervised learning algorithms lack in ideal strategy for choosing right candidates as constituent detectors. It resulted in mediocrity in model stability and accuracy. To overcome this problem, in this paper, we propose an ensemble framework based outlier detection system in high dimensional data. It has ideal mechanism for effectively choosing base outlier detectors. Out of many candidate outlier detectors, the ones that yield highest performance are combined. An algorithm named Average Selection and Ensemble of Candidates for Outlier Detection (ASEC-OD). Many real world datasets are used for empirical study. The results of experiments revealed that the proposed framework outperforms many existing methods

Women empowerment is important for the development of our country. A majority of the Indian women live in villages. Therefore, the development of rural women empowerment is necessary for the true development of our countries economy. The Government of India and the Planning commission of India acknowledged that rural women empowerment is to be promoted for the economic development. The rural women of India are trying to foray into entrepreneurship for their empowerment. However, the problems encountered by the rural women entrepreneurs is completely different from those of their urban counterparts. ICT sector can provide lot of chances for the rural women development through entrepreneurship. This phenomenon of contemporary practices in ICT sector is deliberated about in this study bringing forward the case study of rural women entrepreneurs of West Godavari district of Andhra Pradesh in ICT sector. The focus of the present paper is to gain insight into the concept of rural women entrepreneurship in ICT sector focussing on to examine the need of rural women entrepreneurs in ICT’s, barriers as well as difficulties experienced by rural women, issues and challenges in contemporary practices in ICT’s and to suggest measures for women empowerment from ICT’s

A Hamiltonian Path is the path passing through every vertex of the graph. In this paper the notion of translation shows a dual part in both theoretical and practical requests of complete Fuzzy Charts. In this research work proved with Hamiltonian complete fuzzy sequence on K2n+1 complete fuzzy chart. Compared go existed methods this work gives more improvement and compete with present applications.

In all practical scenarios the extraction of noise free speech signals is an essential task. Many undesired noises are added with the desired speech signal during the transmission. The noises should be eliminated at the destination point. To eliminate the noises the basic widely used type of adaptive algorithm that is Least Mean Square (LMS) algorithm used in several practical applications due to its robustness and simplicity. Step-size is an important parameter in the LMS algorithm. For rapid step size, rate of convergence will be fast, but rise in mean square error (MSE) is main disadvantage. Apart from that, MSE will be small for the smaller step size, but convergence rate will be quit slowly. Hence, step size gives a tradeoff between rate of convergence and MSE. Performance of the algorithm is increased with variable step size parameter. With the variable step size parameter, we developed several variants of LMS algorithm; they are data variable LMS (DVLMS), error variable LMS (EVLMS), time variable LMS (TVLMS) and step variable LMS (SVLMS) algorithms. In these variants, step size is not fixed and it varies based on error signal at a particular instant. With these techniques improves the quality of the signal, the MSE will be decreased and the signal to noise ratio (SNR) also will be improved for speech signal. Several Adaptive noise elimination (ANE) techniques are developed based on these LMS variants and the performance of these ANEs is analyzed, the proposed schemes are well suited for clinical scenarios in speech therapy applications.

This article presents an evaluation of the optimal location and dimensioning of distributed generation in electrical energy distribution systems. For such evaluation, the Shuffled Frog-Leaping Algorithm has been considered. In the problem of optimal location and dimensioning, two objectives have been considered: the minimization of active losses and the improvement of the voltage profile. To compare the effectiveness of the implemented methods, IEEE-33 bus test distribution system is used. The correct location and dimensioning of the distributed generation allowed to substantially improve the network voltage profile and reduce losses for the test system.

When electrical energy is transmitted from generation plants to users through transmission and distribution networks, energy and power losses occur, due to the physical characteristics of the network components. These losses are inherent in the conduction of electrical energy through physical means and cannot be completely avoided. There are significant opportunities to improve the energy efficiency of existing networks and future extensions. Improving efficiency means implementing measures that take levels of effectiveness beyond accepted practices for the activity. There are a number of practical measures and technologies that can be implemented to reduce network losses. This paper presents a power loss minimization framework for TCSC (Thyristor Controlled Series Compensator) with the use of metaheuristic methods used to minimize the power loss. Particle Swarm Optimization (PSO) and Salp Swarm Algorithm (SSA) are used to find the optimal location of TCSC for IEEE-14, IEEE-33, and IEEE-57 bus test systems. Performance analysis is done on the basis of active and reactive power losses

Emotions are very present in our daily life. They are manifested by physiological reactions (palpitations, heat, and acceleration of the pulse), motor reactions (gestural expressions, facial expressions) and changes in the voice. The complexity of emotions was capable to seek attention of various researchers. Differing representations of emotions were then proposed to produce a set of theories. The automation of facial expression detection can then be approached in a variety of ways. We concentrated on the face expression detection. Concerning to this the recognition is based on different visual characteristics of the expression.
This paper is dedicated at first to the exhibition of the definition of emotions, followed by the great theories that have emerged in this area. In a second step, we present the methods of extraction of the facial characteristics and the methods of selection. Finally, some databases used for automatic recognition of emotions are presented.

In this research proposes a listeners dis-fluencies prediction system, this implementation suggests that stuttered speech identification and classification model. When the speaker produces a stuttered speech, a listener can affect the dis-fluencies of speech. In this work addresses the visual participant’s stuttered words and self-repairing classification model. The participants hear the sentences spoken by a speaker who stuttered and some heard sentences are spoken by the same speaker who produces the sentences without stuttering, in this scenario stuttered speech automatically repair by proposed MFLOR machine learning model. Results simulated has more accuracy compared to previous work; in this demonstration, the listeners can hear the processed speech. This work accomplished by applying the magnitude prediction technique and filtration on the select address. The accuracy 98.99%, sensitivity 92.34% and true positive rate 0.99 have increased, this work competes with existed methods

The paper's motive is to demonstrate the implementation of a driver’s drowsiness detection using MATLAB through image processing. Studies suggest that about one-fourth of all serious road accidents occur because of the vehicle drivers' drowsiness where they need to take, confirming that drowsiness gives rise to more road accidents than accidents occur through Drink and Drive. Drowsiness Detection System is designed by employing vision-based concepts. The system’s main component is a small camera pointing towards the driver's face scan and monitoring the driver's eyes to detect drowsiness. First of all, the system scans the driver's face then the eyes and then confirms whether the eyes are open or close using the software MATLAB and therefore, the algorithms used are the Viola-Jones and Hough transform. The machine deals with images binary to scan the facial sides, narrowing the area where the eyes will reside. Suppose the eyes are observed as closed for five or more successive frames. In that case, the system monitors the driving force's activeness and concludes that the driver is falling asleep and issues an alarm or generates an alarm signal to wake him up.

In recent times, cancer subtype classification has been regarded for its capability of considerably advancing the disease prognosis and progressing the customized administration of patients. Cancer subtypes identification is considered to be the most complicated process, as it faces the challenge of inadequate methods with regards to the accurate determination of gene expressions. Previously, the classification process of cancer subtypes preferred a Deep Flexible Neural Forest (DFN Forest) strategy which is an incorporation of Flexible Neural Tree (FNT) approach. However, it possesses the minimum accuracy due to the inability of choosing the appropriate features and consumption of extended time for classification process. This problem has surpassed by proposing the approach that has developed as Artificial Bee Colony (ABC) with Deep Fuzzy Flexible Neural Forest (DFFN Forest) approach. The proposed research intended to measure the cancer subtypes through introducing novel strategies of feature selection and classifier, as these two processes play a significant role during the cancer diagnosis. During the feature selection process, the Artificial Bee Colony (ABC) algorithm has been used to diminish the miss rate of the classifier, besides the chosen feature has performed in the Deep Fuzzy Flexible Neural Forest (DFFN Forest), in which the Fuzzy function has presented, concerning the advancement of DFN Forest classifier’s outputs. The DFFN Forest method included the fuzzy logic for updating the classifier’s weight values during the prediction of cancer subtype. The evaluation of proposed algorithm has processed by considering the factors, such as accuracy, precision, recall, f-measure, and error ratio of the classifier.

The death caused by Leukemia has been ranked in the top ten most dangerous mortality cause for the human being. There are numerous reasons and causes, in spite of the causes and reasons the profound problem is the slow decision-making process which delays the time required to proceed with medical treatment for the patients. That’s why the enhanced medical support process has become necessary for the classification of leukemia. The four different types of Leukemia are as follows Myeloid Leukemia where we have acute and chronic subcategories and in the same way, it goes for the myeloid type as well, these affect various cells and systems such as the blood cells, bone marrow, lymphatic system and which causes the death of patients. The proposed method improves the CML, CLL, AML and ALL characteristic accuracy by scanning color and textural features from the blood image using image processing and to aid in the grouping of CML, CLL, AML and ALL. The following technique proposes a quantitative microscopic approach toward the grouping of blood sample images. A model using Modified Convolution Neural Network (CNN) architecture is used to optimize the classification process. Based on optimized feature space, a CNN model with various kernel functions (filters) used to abstract the features from the pixel values. The proposed method is tested using nearly 10000 microscopic blood images. The outcome confirmed that the accuracy of the classification using blood sampled images which was up to 98%.

Recently, “KY-Boost-Converter (KYBC)” has been extended as a substitute between PV-system &AC-load. DC-level is enhanced using Boost-Converter (BC) &its yield is inverted and AC is applied to a three-phase-load. This work suggests the combination of KY Boost converter with grid-connected-three-phase-inverter-system (KYBCTPIS). The KYBC is exploited to escalate the voltage-gain. Simulink-models are developed for (-Proportional*Integral) PI, (-Fractional*order-proportional-integral-derivative) FOPID-controller (*proportional resonant) PRC based KYBCTPI-systems. This effort mainly compares the time-responses of PI, FOPID controller and PR controller based KYBCTPI- systems. The investigations indicate that the response of PR Control based KYBCTPI system is better than PI & FOPID based KYBCTPI systems

The traditional method of farming can be replaced by bringing the UAV technology into play. The main idea of this paper is to project a new idea to control the pest rate with the help of Unmanned Aerial Vehicle (UAV). The drone carries a multispectral high-resolution camera which captures the image which serves as the base data for the learning. The existing data sets are used to train the models. Then patterns are analysed to identify the disease in the captured images. Using this strategy, we can get the possible results in which the healthy crop can be differentiated from the infected ones. The drone will be designed to have different compartments to store a variety of pesticides based upon need. A particular compartment selection and the quantity of a pesticide to be applied will be programmed and controlled effectively using micro-controller. If an infected crop or crop area is detected the processor not only triggers the sprayer present in the drone to spray the pesticides only to the affected area but also, controls the amount of pesticide to be sprayed. This in turn saves lot of time and improves the economic and health condition of farmers.

Zinc oxide (ZnO) nanoparticles were fabricated by green process in presence of aqueous extract of Watermelon rind. High Performance Liquid Chromatography technique was used to assess the biomolecule content of the aqueous extract prepared from watermelon rind. Citrulline an essential amino acid present in watermelon rind was found to act as capping agent for fabrication of ZnO nanoparticles. The shapes of produced ZnO nanoparticles were found to be anisotropic with few nano rods which were confirmed by TEM analysis. The prepared ZnO nanoparticles were used as antimicrobial agent against pathogens. Higher activity was found against S. paratyphi B strains. Further, the ZnO nanoparticles were assessed for its heavy metal removal capacity from aqueous solution. The results suggest that watermelon rind can be a potential precursor for fabrication of ZnO nanoparticles with versatile applications.

Majority of the youngsters’ in today are possessing smart phone with internet connection since the cost of smartphone and the cost of unlimited internet connection are in affordable range. More than that they are all surfing various online market place site frequently to fulfill their needs and wants. Their earning capacity is reasonable to buy their needs as per their will and wish. They have no time to spend for buying product in the regular traditional way of purchasing. They are always busy in engaging their time for earning their lively hood. It is more convenient for them to buy the product through online, since purchasing can be done at any time and any place. Moreover, they can review the product performances through social media and get enough information regarding the product from various sources with their prices in the online sites to take appropriate decision on their own. It is the responsibility of the online marketers to provide genuine rightful information about the product to the consumer to decide on their own to buy. Buyers are expecting the seamless process and every needed information shall be available at their finger tip about the product to go through and finalize their own buying decision.

Online Marketing business is facing lot of challenges due to the consumers’ buying habits. Earlier they will go through online marketing site and choose their requirement with the best of their knowledge. Whereas now a day consumer goes through all online sites to compare price and social network to know the reviews about performance. Buyers are getting information about product from various sources and they are more knowledgeable then earlier days buyers. Hence, the marketers to provide necessary information about their products to choose. Online marketing is the right solution to improve the buyers base in no time.

Benchmarking is a technique for assessing a firm’s performance against the performance of other firms. It is used to find the best practice and to take necessary actions to improve the firm’s own performance so that it meets or exceeds that of its competitors. It is usually a process of reengineering or quality improvement initiative, and focuses on the ongoing quality management efforts of strategic business units. This has resulted in the establishment of a conceptual framework for evaluating users’ needs identified in market opportunity analysis, a new service concept, the user’s ombudsman, relationship marketing, and a citizen charter. The article highlights the significance of using benchmarking as performance indicators, process reengineering and quality improvement in organizations. In this article the researcher highlights the importance of benchmarking in HRM practice, to define the key performance indicator in HR areas, classifying various types of benchmarking, advantages of benchmarking, and identifying the key drivers in making success of benchmarking.

Due to the advancement of computer technology image-processing techniques have become increasingly important in a wide variety of applications. Image segmentation plays a important role in image processing. Image segmentation refers to partition of an image into different regions that are similar and different in some characteristics like color, intensity or texture. Different algorithms and techniques have been developed for image segmentation. This paper investigates and compiles some of the technologies used for image segmentation. The various segmentation techniques like Edge Detection, Threshold, Region based, Feature Based Clustering and Neural Network Image Segmentation were discussed in this paper

In this modern world, every people use ATM machines for withdrawal and transferring cash. This research is based on implementing recognizing Fingerprint mechanism in the ATM System. We selected this in order to increase the security of the customers to make easy transaction. Each human being has different fingerprint minutiae characteristics hence this process will be more applicable. There is no fear of losing the ATM card and no requirement to carry ATM card always. By comparing various technologies that are used so far in ATM security, it is observed that fingerprint recognition technology performs better and safer than other technologies. This is making easy and protected transaction and also maintaining user-friendly environment with the user.
This process is one of the most promising technologies at electronic money transaction. The growth in the field of electronic transactions has resulted in a greater demand for fast and accurate user identification and authentication. People greatly depend on the Automated Teller Machine (ATM) for conveniently meeting their banking needs. However, there are numerous advantages in this system, the ATM fraud has recently become more threatening issue. This system helps in preventing the ATM robberies and misused by wrong person. We proposed the system to prevent the actions of breaking or damaging the machines, threating the ATM user’s denial of transactions and any other ATM user by invalid users or mask.

Produces from agriculture which feeds the entire population is dependent on proper farming practices. The growth of technology must pay a way for increasing the produce per acre and also help in reducing the onset of frequently affecting plant disease. Timely help in detecting the diseases coupled with solution helps in productivity and quality of the produce. This paper aims to detect the plant leaf disease based on image detection and using machine learning to identify the disease with accuracy and suggest the solution. The product must cater to the needs of urban and rural farmer and also the person with only lay man knowledge of taking photo. This project mainly focuses on leaf disease like Anthracnose, Bacterial Blight, Cercospora, Alternaria Altermata diseases in the Pomegranate, Indian Beech, Tobacco, and Bitter Gourd leaves. This project aims to identify the disease even with lesser region of Interest and predict the leaf diseases using Convolutional Neural Network Algorithm

The rapid development in wireless communication devices is increasing in day to day life, with the advancement of wearable antenna and electronics in civil, medical, sportswear and mainly in medical domains to replace wired communication systems in the near future in which antennas play an important goal. At present scenario, there is a greatest interest in antenna to merge between wearable systems. In this paper a different feeding technique called aperture coupled feeding technique has been implemented with three different substrates like cotton, jean and fleece fabric. The new coupling technique helps to improve the overall performance of textile antenna and among the three substrates cotton achieves maximum efficiency. The designed antenna operates in the frequency of 2.4 – 5.8 GHz of ISM band applications. From this analyzed result the textile antenna is highly efficient, fully flexible, can be easily wearable and it is easily integrated into garments

Traffic accidents, one of the leading sources of deaths in all places. This paper gives alert before the situation is in danger and immediately shares the location where the accident occurred. The alert will be given when the driver is not in the condition to drive and location is traced) using GPS (Global Positioning System) once accident occurred. This system helps to trace the vehicle’s location easily and alerts the driver when he consumed alcohol and feels sleepy and also it helps in avoiding accidents and to provide the necessary help as soon as possible after the accident happens.

a store or advanced stores could be a place wherever individuals obtain products for his or her regular use. The purchasers have to be compelled to wait in long queues to induce their product scanned exploitation barcode scanner and obtain it billed. To induce the elimination of this, we've planned a brand new ‘Smart tramcar RFID (Radio Frequency Identification)'. This implementation is employed to help an individual whereas searching and additionally to avoid standing in long queues and so in order to saving time. The good searching shopper would accommodate a microcontroller, RFID Reader associate degreed an Electronic shopping assistant. The product within the searching centers can have RFID tags to retrieve/access info regarding it. Once a client places a product within the good tramcar, the RFID Reader can scan the merchandise ID and also the info associated with it'll be hold on in controller. The entire quantity of the product within the tramcar are going to be calculated the Central charge System.

Hardware Trojan (HT) can be introduced by an adversary at an untrusted design or fabrication house. Depending on the interests of the adversary the HT can cause change in functionality, denial-of-service, and information leakage or reliability reduction. In the existing system, a self-referencing based HT detection method using path delays which eliminates the requirement of golden ICs, is used. Further, we developed a procedure to select paths that minimizes the effect of both inter-die and intra-die PV. We have used topologically symmetric paths to mitigate inter-die variations and selected closer paths to exploit the spatial correlation to reduce the impact of intra-die variations. In the proposed system, Low density parity check with majority logic gate is used to predict the unknown post silicon errors occur in the integrated chips. Those small errors produce a large variation in the development of complex circuitry which utilizes maximum space of the FPGA. The proposed system uses Quartus II software and provides the simulation model showing the normal establishment of data transfer and Hardware Trojan affected system separately

With the rapid depreciation of non- renewable sources and the counter effects caused by their extensive utilization has brought in the compulsion of turning focus towards non- renewable energy resources. With the consumption of energy being directly in proportion with the growth rate of mankind, it becomes absolutely necessary to come up alternatives that completely use non-renewable resources. With the very global demand for energy, renewable resources are fast wearing out, that too at a very alarming rate. The best solution to the above crisis is choosing a non-renewable energy source that meets the exponential demand. One of the optimal choices that is provided to us by nature is the ever available, abundant solar power. The intelligible harness of this endless resource has been providing us with a solution that is within an acceptable level. However, the production cost of these conventional silicon solar cells is quite high. Consequently, it takes quite a period of time before invested capital can be retrieved back. Hence, we propose a novel solar cell that is manufactured from plastic, using nanotechnology and screen-printing techniques. Thus, production of these plastic solar cells is quite easy and cuts down on production costs. In addition, these solar cells and panels chips in with the added advantage of being manufactured within no time and that too on a mass production scale as they are designed and produced using two latest technologies, the nanotechnology and screen-printing technique. Hence the produced plastic solar cell enables us to meet all power demands at a very low-cost affordable price margin. Thus, the proposed idea details on the intelligible design and fabrication of the novel plastic solar cells for efficient energy harness.

In last decades online product sale is increased. The customers want to buy a quality product is very difficult in recent year. After buying only we know the problems in the product. After lancing many months users buying the product with problems. But many users put their Opinion in the review pages. Customers are very difficult to find the best product. Opinion Mining (OM) is the best tool for selecting the best product. OM on Product reviews refers to the process of analyzing the sentiment associated with it. This paper discussed about an attribute – level sentiment analysis of the product was done and also performs a three – class classification

Association rules consist of the discovery of association between mining transaction items. This is one of the most important information mining jobs. It has been integrated into many commercial data mining software and has a wide variety of applications on a number of domains. So, computing the prediction rules in top rank data set is very difficult task. Finding the pattern in large data set require memory computational power high rate of I/O. and it is possible only on high computational machine. In this paper, selection of parameter which is used to compute is chosen based on minimum support and minimum confidence value. In this paper proposed a new algorithm which generates the association rule for the input parameters to finding the pattern in large data set. The algorithm starts searching the rules. As soon as a rule is found, it is added to the list of order rules list by support. The list is used so far to maintain top N rules found. Once valid rules are found, the minimum support for the internal minsup variable list is raised to support the rule. When the Minsup value is raised, the search space is robbed while searching for more rules. Then, every time a valid rule is found, the list is inserted into the list, the lists that are not listed in the list are excluded from the list and the minsup is raised for the price of the least fun rules in the list. Result shows that new method is efficient technique to mine data set from standard data with minimum configuration system.

Diabetes mellitus is one of the major non-communicable diseases which have great impact on human life today. A huge amount of data is generated including a wide variety of the Electronic Medical Record (EMR), pharmacy reports, and laboratory reports, among other data related to patients. Big data analytics can be applied to this data to generate useful patterns and relation between different factors which affects diabetes. The results obtained from this analysis shows relation between different attributes which can be used to improve healthcare system. In this paper the analysis of the diabetes dataset is done using Hadoop framework, which is a distributive framework and can be used to analysis large amount of data. The dataset is taken from PIMA Indian Database, which includes different factors that affect diabetes like age, blood pressure, BMI (Body-Mass Index), skin thickness etc. Results produced by the analysis of data are projects on Power BI.

One of the major concerns of software industries is to develop invulnerable and secure software. A project is successful if it is delivered within provided time constraints with the required quality. The aim of this research is to enhance the project planning phase by risk assessment at the start of software development life cycle. The proposed model is developed to accurate estimation of risk in software project. The software risk estimation model is being made using neuro-fuzzy approach which is beneficial to the project manager in the first phase of software development life cycle. This methodology is different from the other risk assessment process as it uses the vague factors of different type of risk parameters in software projects. Two main activities of project planning phase are risk assessment and effort estimation. Effort estimation is mostly influencing with the probability of risk estimation at the early phase of software development life cycle. Implement result shows that it reduces risk caused due to vague parameters in software projects. The intelligent system so developed is also capable of identifying the risk of similar kind in any software project for hospital network system.

The purpose of this project is to give the farmer a complete irrigation system using the Internet of Things. It may be a challenge to shape a value-efficient automatic irrigation system to scale the waste from backwater. It is important to provide different criteria in order to decide the successful amount of water for plants. The suggested scheme consists of different kinds of sensors with low cost and low power consumption. For example- soil moisture sensor, temperature sensor. The Raspberry Pi is built with sensors to control the opening of the irrigation valve. The phone is used for remote control. Both sensors communicate with The Raspberry Pi. To produce the animal sound and intimate the designated individual using a buzzer and connect with Lora, the sound module is used. The PIR sensor is used for human recognition. Using Lora touch the soil moisture sensor is used to measure the soil moisture level and thus the LCD level view. Additionally, the moisture level value is submitted to the mobile entity accessing the web page.

Gorlin goltz syndrome, is a rare autosomal dominant inherited condition caused by the mutation in patched (PTCH),a tumor suppressor gene. It is clinically characterized with frontal and temporoparietal bossing results in the increased cranial circumference, multiple basal cell carcinomas, odontogenic kerotocysts, epidermal cysts of the skin, ocular telorism ,kyphoscoliosis, and various skeletal abnormalities. Here we present a case series of Gorlin goltz syndrome(two cases) in this article. This is an attempt to highlight its importance in early diagnosing this disease along with the review of literature.

The majority of oral diseases constitute growth and masses of various cellular origin. Such masses may include hamartoma, choristoma, teratoma, benign or malignant neoplasms

Haematological abnormalities are variable in nature which manifests in the oral cavity. The symptoms are non specific representing the initial sign of the underlying disease. The importance of understanding the oral manifestations lies in the fact that signs and symptoms may be the first clinical presentation that alerts the dentist/hematologist to an underlying hematological disorder

The human oral cavity hosts various microorganisms such as bacteria, virus, fungi and parasites. Parasites includes various protozoan and worms which may infect human and causes parasitic diseases. Parasitic infections can be caused by three types of organisms:protozoa, helminths and ectoparasites.

Teratomas are uncommon malformation containing cells from ectodermal, mesodermal and endodermal layers, occasionally found in the soft palate. For inborn teratomas, oropharyngeal cavity is rare site (2% all things considered). They are infrequently diagnosed by prenatal ultrasonography. Newborns present with respiratory trouble and now role of pediatricians is exceptionally vital in building up secure airway route after which they should be assessed and surgically managed.

One of the major side effects of radiotherapy o the head and neck region is the osteoradionecrosis (ORN)of the jaws. It requires a multidisciplinary approach for treatment. Various treatments have been proposed for the treatment of osteoradionecrosis. This review article discusses the etiology, pathophysiology and management of osteoradionecrosis

Oral squamous cell carcinoma (OSCC) is the most well-known malignant growth of the head and neck. It represents over 90% of all malignancies which happen in the head and neck region. The high frequency and mortality rate of oral cancer energizing continuation of exploration on finding new indicative diagnostic tools or markers for it. Oral squamous cell carcinoma (OSCC) is the 6th most common threat in the world. It is brought about by an assortment of elements, among which, oxidants, the results of typical digestion, rank high as a significant culprit in the development of the disease

Cathepsins are a class of globular lysosomal proteases that are known to be responsible for protein degradation. They have many biological roles besides proteolysis, such as apoptosis wound healing angiogenesis, proenzymatic activation, bone remodeling, and resorption. The role of cathepsins in pathogenesizing systemic diseases such as cancer, bronchial asthma, atherosclerosis, neurological disorders, rheumatoid arthritis and osteoarthritis has been involved. This review emphasizes the role of cathepsins in multiple oral diseases such as periodontitis, odontogenic cysts, ameloblastoma, tumors of the salivary glands and malignant melanoma

Microbes continue to live on and within human beings. Intestinal microbial imbalance has a close relationship with human health and disease. This review article targets on the communication between human microbiome and host in order to provide an overview of the microbial role in biological processes and in major human diseases such as infectious diseases, liver diseases, gastrointestinal cancers, metabolic diseases, respiratory diseases, mental or psychological diseases, and autoimmune diseases. Hence research is necessary for understanding the role of microbiome in health and disease which pave the way for treatment approaches in clinical practice

Schwannomas are benign neoplasms with debatable etiology, which commonly arise from neural sheath Schwann cells. They are solitary, slow-growing lesions occurring at different ages especially in intraoral site. Lesions are normally asymptomatic and now and again, they are accompained by pain and paresthesia whenever seen in the intraosseous sites of the mandibles. Diagnosis of schwannoma is set up through histopathological assessment and immunohistochemical assessment, and the first line treatment includes the surgical removal of the tumor without affecting of neighboring structures. Anti-S100 protein is the most noteworthy antibody response used to recognize schwannomas. Schwannomas are known to have better prognosis, and if the lesion is totally excised, there is no chance of recurrence

Sjogren’s syndrome (SS) is an autoimmune disorder which is responsible for glandular dysfunction most preferably salivary and lacrimal glands, caused mainly by the lymphocytic infiltration of exocrine glands. It can be classified into two, namely Primary Sjogren’s syndrome and Secondary Sjogren’s syndrome. Primary Sjogren’s syndrome (pSS) occurs in the absence of other autoimmune diseases and is characterised by keratoconjunctiva sicca (dry eyes) and xerostomia (dry mouth), collectively called the sicca syndrome. On the other hand, secondary Sjogren’s syndrome is associated with other autoimmune diseases such as rheumatoid arthritis (RA) and systemic lupus erythematosus (SLE). The prevalence of SS is estimated to be approximately 3% in subjects 50 years or older, with a female to male ratio of 9:1. Conditions associated with SS include rheumatoid arthritis, lupus erythematosus and scleroderma. The clinical manifestations are often vague and mistakenly interpreted and attributed to other medical conditions or iatrogenic disorders. As such, incorrect diagnosis of SS is common and approximately half of all patients are thought to be undiagnosed

AIM- To discuss the various available methods for facial nerve repair for facial reanimation
BODY- Our face acts like a window to the world. It helps us to communicate. It helps us to express our emotions. Disorders of the face, involving the ones that disrupt facial movements, cause severe negative psychosocial impact on an individual. It is thus of utmost importance that this facial movement be restored, irrespective of the age or gender of the individual. Many different techniques have thus been devised in order to reanimate the face, which involve nerve repair and functional muscle grafts or transfers. In this review literature we shall delve into the various ways the facial nerve can be repaired.
CONCLUSION- All these techniques, however effective may they be, create certain morbid conditions. Thus, it is imperative to do more research in order to devise such a technique which produces great results in reanimation of the face without inducing morbidity.

Pan facial fractures are complex to treat and hence have to be systematically managed . Several authors have quoted several principles regarding the repair of pan facial fractures in a stepwise fashion . The most important goal is to restore the occlusal relationship at the beginning of the treatment , so that all the other structures get aligned . The folllowing is a case of a traumatic pan facial fracture and its surgical management

Implant can be defined as “any object or material such as alloplastic substance or other tissue which is partially or completely inserted into the body for therapeutic, diagnostic, prosthetic or experimental purpose”.
The goal of implantology is to restore the normal contour, function, comfort, esthetics, speech and health of the patient.
Replacement of missing tooth with dental implant offers more advantages including preservation of the alveolar crest, improved aesthetics and function

An OAC is an abnormal pathological communication that develops between the oral cavity and the maxillary antrum[1]. Most frequently it develops as a complication following extraction of the maxillary posterior teeth. other etiologies that results in the formation of an oro antral communication are cyst enucleation, benign tumour, resection of malignancies, orthognathic surgery, osteomyelitis and trauma. Maxillary antrum perforations of less than 5mm closes spontaneously after the formation of blood clot however if the perforation is 6mm or more surgical intervention is required to close the communication

Platelets plays an important role in hemostasis by preventing blood loss at the site of vascular injury. The growth factors in platelets has been believed to have the potential to accelerate the healing process, promotes tissue repair and regeneration. The platelet rich growth factor promotes both hard (bone) and soft (skin and gingival) tissue healing. The PRP has a broad spectrum of applications in oral and maxillofacial surgery. This review article presents with various applications of PRP in maxillofacial surgery.

Background:
Ranula is pathological condition where there is no particlar common treatment protocol for it. It is characterized by frog like belly appearance of swelling especially in the floor of the mouth caused by the abnormal accumulation of salivary mucins[1,2]. There are lot of treatment method proposed for ranula that includes excision with or without removal of the involved salivary gland, marsupialization, cauterization of the roof of the lesion , drainage of the contents of the lesion and micro-marsupialization. Since there is wide varity of treatment procedure available, sometimes there will be difficulty in arriving into particular treatment procedure for the given condition. But this situation is slowly changing. This review article aimed to throw insight into the concepts and consensus revolving revolving around the management of ranula.
Conclusion:
Ranulas are extravasation cysts. In conclusion ranulas are found to arise majorly from the sublingual salivary gland; This condition is not a common occurrence probably we can encounter one lesion per year of our practice. A simpler approach will be marsupialization with the addition of packing. Recurrence rates seem to be reduced to a reasonable level. Persistent recalcitrant lesions should be dealt with by sublingual gland excision. Micro marsupialization is the advanced technique that has provided simplicity of execution, low invasiveness and the fact that no special care is required during recovery make this technique a good treatment option, especially in pediatric patients

Radicular cyst is derived from the epithelial cell rests of Malassez. The associated tooth is nonvital, usually asymptomatic, and may result in swelling, tenderness, tooth mobility, or other problems with rare possibility of neoplastic transformation of its epithelial lining. The treatment options include endodontic procedure, extraction of offending tooth, enucleation with primary closure, and marsupialization. The present report describes the case of a radicular cyst of anterior maxillary region in a 60‐year‐old male patient, with radiographic and clinical findings.

Lefort classification is the historic classification which is widely used to classify mid facial fractures. The lefort classification was given by Rene Lefort ,who classified mid facial fracture into Lefort I , II and III. Lefort 2 fracture is referred as ‘ PYRAMIDAL or SUBZYGOMATIC FRACTURE .’ Lefort 2 is a floating maxilla which runs from the thin middle area of the nasal bones down either side , crossing the frontal processes of the maxilla into the medial wall of each orbit . Within the orbit , the fracture line runs across the lacrimal bone behind the lacrimal sac to cross the infra orbital margin medial to or through the infra orbital foramen . Extends downwards & backwards across the lateral wall of the antrum below the zygomaticomaxillary suture & divides the ptyergyoid laminae .Le fort fractures are blunt trauma facial fractures which involves specific pattern of facial bones injury. Pterygoid process of sphenoid bones is involved in all Le fort fractures. Lefort fractures are classified further depending upon the involvement of zygomatic, nasal and maxillary bones. Blunt facial traumas due to motor vehicle collision, assault, falls or sports injury are the most common causes. In our case, Le fort 2 fracture resulted from motor vehicle collision.

AIM: TO REVIEW THE VARIOUS MATERIALS USED FOR RECONSTRUCTION OF THE ORBIT IN MAXILLOFACIAL TRAUMA CASES.
BODY: Orbital bone fractures are in fact very often associated with trauma to the maxillofacial region due to road traffic accidents, assaults, war injuries, resulting in either a blowout fracture or a blow in fracture of the floor, fracture of the lateral wall of orbit, medial wall of orbit, posterior wall of orbit, roof of orbit, infraorbital and supraorbital rim of orbit. These defects cause various forms of morbidity to the patients and thus need to repaired without much complications. There are various materials that have come to be in use in the reconstruction of the orbit which fall into the three main categories of autologous, allogenic and alloplastic materials. We shall in this review literature delve into the deeper aspects of most of the commonly available and some of the newer materials being used, so as to understand the benefits and complications of using them.
CONCLUSION: We can conclude that there is no single grafting material which is suitable for all cases every time without any complications. Thus, traditional materials are to be used until a more viable material is found

Retrobulbar hemorrhage (RBH), sudden space occupying or expanding intraorbital lesions, herniation, or swelling lead to decrease in visual acuity secondary to orbital trauma. RBH must be diagnosed and treated as early as possible without delay. The purpose of this article is to give a insight on various treatment options for RBH. MEDLINE database was used to perform literature review. RBH patients are classified into RBH classes I to III according to three different clinical and radiological manifestations of acute RBH. Three categories of manifestations of acute RBH serve as a diagnostic tool that may help in the determination of treatment options.

In this article a review of maxillary sinus anatomy and techniques for floor elevation which is considered a vital part of restoring the posterior maxilla is discussed. Tatum is the pioneer for lateral antrostomy which is being practised till date for sinus lift. Crestal approach which is a conservative
method, proposed by Summers, provides another effective way of placing implant fixture in the atrophic maxilla

Submental intubation, alternative to tracheostomy and is comparatively less invasive, in cases where oral intubation could not be established as it required to establish dental relationships perioperatively this method of intubation was preferred, and it was first reported for acute airway management of maxillofacial trauma patients, where naso-endotracheal intubation was contraindicated. Submental intubation is used most commonly in trauma patients, it also includes many orthognathic and skull base surgical procedures. Submental intubation is a safe and effective technique method in securing airway, for many maxillofacial procedures

Superior orbital fissure syndrome is a complex of cranial nerve impairment that affects the CN III, IV, V and VI all of which enters the orbit through the superior orbital fissure. Superior Orbital fissure syndrome occurs as a result of compression of all or some of these nerves passing through the fissure. Three major factors contributing to the syndrome includes traumatic injury, neoplasm and inflammation. This article takes into account the various data previously reported in literature and aims at providing a detailed knowledge about the anatomy of the superior orbital fissure to provide a better understanding about the syndrome

Oro-antral communication and fistula can occur as a result of inadequate and improper treatment. Inadvertent communication with the maxillary sinus can occur during certain surgical procedures in the maxillary posterior region. Though, spontaneous healing may occur in defects which are smaller than 2 mm but larger communications require immediate attention and should be treated without delay, in order to avoid sinusitis and further complications leading to patient discomfort

The face is the most important means of communication and not only in term of verbal communication. The principal aim of the maxillofacial reconstruction still remains to avoid or to repair gross aesthetic disfigurement in cases of congenital malformation, tumor resection, post traumatic deformities. In addition to facial aesthetics, maxillofacial reconstruction also has important functional aspect in the reconstructive measures strive for the institution of the complex functions of the upper oro-digestive tract

Patients with ankylosis, post-traumatic condylar destruction, advanced degenerative disease and multi-operated patients are those who require joint replacement. Rise in development of biocompatible materials, improved designs for patient-fitted prostheses have been made with emerging advances. These devices can be used to treat internal derangement cases with history of multiple surgical and nonsurgical treatment failures, as well as restoring form and function following the removal of failed Vitek Proplast-Teflon containing temporomandibular joint implants. This paper will provide an insight related to treatment modality in debilitated, functionless temporomandibular joint (TMJ) patients.

Background:
Surgical repair of the oroantral fistula is one among the controversial things revolving around the surgeons working in the oral and maxillofacial region. This review article aimed to discuss the concepts and consensus revolving around the surgical management of oro antral fistula. The multiple techniques described in various literatures over the last 4 to 5 decades to arrive at the uniformly successful procedure for the closure of the oro antral fistula. In simplest terms, treatment modalities to repair the oroantral fistula include local or distant soft tissue flaps, with or without autogenous grafts or alloplastic implants. Immediate repairs of the acute oroantral defect have a uniformly high success rate, but the success rate of secondary closure of the chronic oroantral fistula is reported to be as low comparatively.
Conclusion:
The long-term closure of the oroantral fistula challenges all surgeons working in the oral and maxillofacial region. A historical review of the more valid techniques has been presented. A protocol for oroantral fistula closure is offered ie; the buccal sliding flap for little (5 to 10 mm) lateral or midalveolar defects; the palatal rotation flap for little (5 to 10 mm) palatal or midalveolar defects; the anterior-based dorsal tongue flap for moderate (10 to20 mm) anterior defects; and the temporalis flap is reserved for larger (>2 cm) posterior defects. Thus with the advancing trends in oral and maxillofacial surgery the techniques are evolving more and more to achieve desired result with much higher prognosis.

Fibrous dysplasia is an idiopathic skeletal disorder in which the trabecular bone is replaced and distorted by poorly organized, structurally unsound fibro-osseous tissue. The lesion is classified into two forms: Monostotic and polyostotic. Characteristic radiographic appearance shows an expanded osseous lesion having poorly defined margins covered by a thin “eggshell” cortex and lacking periosteal new bone formation.

Antibiotic coverage plays a vital role in maxillofacial surgery. In this study of 100 patients during the academic year 2018 in the department of oral maxillofacial surgery in sree balaji dental college and hospital was taken. A sample size of group-A with 50 patient given prophylactic antibiotic coverage after the procedure and a sample size group- B without prophylactic antibiotic coverage after the procedure was done. In this clindamycin, amoxicillin was advised for the patient after the procedure was done.

Orbit is a conical cavity in which the base lies anteriorly and the apex directed at Optic Foramen .By Age of 5 years orbital growth is 85% complete, finalized between 7 years of age. Orbit is formed from 7 bones (Maxillary, Zygomatic, Frontal, Ethmoid, Larimal, Palatine, and Sphenoid ). It consists of Four Walls – roof, lateral, medial, floor .Medial wall and floor are thin ,While Lateral wall and Roof are Stronger. Floor of orbit is weakened due to infraorbtal Canal passing through it. In Pure blowout fracture one orbit wall is affected, without involving orbital rims. The inferior and medial walls are affected most frequently. Clinical features are diplopia, infraorbital nerve paresthesia , entrapment of soft tissue within the maxillary sinus, restriction of ocular movements and enophthalmos. CT scan is most helpful method for diagnosis of orbital fracture. For orbit reconstruction, natural and synthetic materials are available. We report a case of 21 years old man, diagnosed with orbital floor fracture after slip and fall from his two wheeler The surgical treatment involved orbital floor reconstruction with titanium mesh under general anesthesia. The outcome was satisfactory and during followup visual disturbances or paresthesia was not present.

BACKGROUND: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 or COVID-19) is a global public-health emergency. Dental professionals are considered to be at high risk, as most dental treatment procedures can lead to the spread of infection due to the direct proximity with saliva, blood and generation of aerosols.
AIM: The aim of this study was to assess the knowledge, awareness and hygiene practices regarding COVID-19 among dental students in Chennai, India during these critical times.
MATERIALS AND METHODS: A self-administered, structured, close-ended 15-point questionnaire was distributed among the undergraduate and postgraduate dental students in Chennai. A total of 198 participants completed the questionnaire. Convenience sampling method was used for data collection and the distribution of responses was presented as percentages. RESULTS: Among the 198 participants a total of 54 (27.2%) exhibited high level of knowledge while 67 (33.8%) demonstrated moderate knowledge and 77 (38.8%) demonstrated low level of knowledge. Mean knowledge score was 8.5, minimum and maximum scores were 4 and 15 respectively among the dental students.
CONCLUSION: Most the participants seemed to have inadequate knowledge about COVID19 and precautionary measures taken to prevent COVID19 from spreading. These show vulnerabilities in the knowledge of dental students to deal with the current scenario and thus, there is a need to improve the knowledge of dental students through health education and training programmes. After the condition is normalised, further research on the subject are also required.

Most of the signs of ageing can be related to volume loss. Dermal fillers are substances which can be injected beneath the skin, that helps restore the lost volume. They are gel like in consistency.1 Patients seeking orthodontic therapy often also present with adjuvant soft tissue deformities. The soft tissue deformity caused by an underlying skeletal or dental deformity will be self-corrected by orthognathic and/or orthodontic treatment. The inherent soft tissue deformities like decreased lip length, increased or decreased lip thickness, inadequate vermillion show, can be addressed by injecting dermal fillers, Botulinum Toxin A and cosmetic surgical soft tissue procedures.

Hinge axis is defined as an imaginary line passing through the two mandibular condyles around which the mandible rotates without translatory movement. Face bow helps to relate the arc of closure or hinge axis of the mandible to the cranium. It records the opening & closing path of movement. Face bow transfer is an integral part in analyzing & studying the occlusion. Face bow record helps in securing anteroposterior positioning of cast in relation to condyles. It also helps in achieving the exact anteroposterior or vertical positioning of cast in relation to condyles.

Hemimandibular hyperplasia and hemimandibular elongation are two mandibular growth anomalies affecting one side or one half of the mandible. They both cause mandibular asymmetry and occur due to the abnormal growth pattern. Both pure and mixed forms of both these anomalies have been reported in the literature. The treatment of both these anomalies are different and hence it is essential for the clinician to know how to differentiate between the two anomalies.

Orthodontic treatment usually requires space, aiding in tooth alignment .There are various methods to obtain this which includes extraction, mesio distal dimension reduction, distalization ,de rotation of posteriors, and up righting molars. Among these mesio distal enamel reduction is considered a common and successful treatment option of gaining space in mild cases. This review article gives an over view of interproximal method of space gaining.

Class III malocclusion is a malocclusion that is Very easy to identify but is often difficult to treat. So a sucessful treatment plan for correcting class III malocclusion depends on an accurate assesment and diagnosis. So this article is an overview of various methods of assessing class III malocclusion and the management of the same.

Expansion has been one of the oldest means and also conservative method of gaining space and correcting the intermaxillary and dental arch relationships primarily in transverse direction. As clinicians we all rely on some form of rapid or slow palatal expansion appliances to produce maxillary change. Various appliances and treatment techniques have been developed and used to correct the transverse discrepancies. The most common is rapid maxillary expansion (RME) performed with a tooth-anchored expander. However the predictability of orthopedic expansion is greatly reduced after 15 years of age. Due to this reason, it has been proposed that the MARPE is an effective alternative to maximize the skeletal effects in adults and also to avoid invasive surgical procedures like SARPE .

Esthetics in orthodontics has been defined mainly in terms of profile enhancement, but if you ask lay people what an orthodontist does, their answers will usually include something about creating beautiful smiles. This article is an overview of smile esthetics and its analysis in orthodontics.

For patients who are aesthetically conscious, lingual orthodontic appliances provide an outstanding alternative to labial appliances. This study is intended to review the latest literature comparing labial and lingual orthodontics in terms of clinical outcomes and adverse effects. The electronic database search was done on PubMed, Cochrane Library, Embase, Web of Knowledge, and Google Scholar to find the current evidence. Lingual appliances were associated with increased overall oral discomfort, poorer speech performance, increased difficulty in eating and reduced intermolar width compared to labial appliances. On the other hand, lingual appliances were associated with increased intercanine width and substantially reduced loss of the first molar maxillary anchorage during space closure.

LASERs have been used in the field of dentistry for more than 40 years. Their wide range of application and reduced pain perception and bloodless procedure makes them readily acceptable for clinical practice. They have multiple advantages such as reduction in treatment duration, increase patient’s level of acceptance that helps orthodontists to improve on their treatment efficiency, improve smile esthetics by reducing patient discomfort. Pertaining to orthodontics, LASER application includes pain reduction, alternate to routine etching and bonding techniques, accelerating tooth movement, debonding of brackets, numbering of brackets, increase implant stability a, bracket mesh designing, reduction in rate of demineralization and soft tissue procedures namely, frenectomy, gingivectomy, exposure of impacted teeth, operculectomy, papilla flattening, etc. Like any other technique, LASERs have their own disadvantages. This review article is about the use of LASER in orthodontics, their effects on different tissue, mechanism by which it is formed and various types of commercially available LASERs and their uses clinically.

Prediction planning for orthognathic surgery allows the orthodontist to anticipate changes in hard and soft tissue that may arise as a result of the surgery. This can be useful to accordingly plan the orthognathic surgery and also as a means for informed patient’s consent and to communicate with the concerned maxillofacial surgeon. Cephalometric prediction in orthognathic surgery enables direct evaluation of both dental and skeletal movements, and can be performed manually or by computers, using several software programmes currently available. They can also be incorporated with video images. The aim of this article is to present and discuss the different methods of cephalometric prediction of the orthognathic surgical outcome.

The periodontium plays a major role in Orthodontic tooth movement. Periodontal problems contribute to the development of malocclusion in a substantial number of adult orthodontic patients and certain malocclusion can be avoided by treating the periodontium at the appropriate time .There are strong inter-relationship exists between orthodontist and periodontist. This review article gives an overview of the various mucogingival considerations in orthodontics

Orthodontic treatment involving clear polyurethane aligners has started dominating the market. Although it has existed for almost two decades now, it is not indicated for all type of patients. Controversies exists in the aligners treatment indications. Some indicate that they should be used in orthodontic cases without skeletal disharmonies with mild crowding, whereas others have suggested that Invisalign may be suitable for even moderately complex orthodontic cases. In this review, a basic idea of the aligners and recent advances are discussed.

Numerous studies have shown that masticatory performance deteriorates as the number of posterior teeth and occlusal surface area decrease. Congenitally missing teeth (CMT), or usually called as hypodontia, is a highly prevalent dental anomaly. Missing molars can also be because of endodontic or periodontal problems. This article reviews the various causes of missing molars and their various treatment options.

Surgery first orthognathic approach eliminates the pre surgical orthodontic phase and makes use of the regional acceleratory phenomenon and the natural forces from the soft tissues and helps in greatly reducing the treatment time. Apart from reduced treatment duration, because dental decompensation is eliminated, profile improvement has led to good patient satisfaction and cooperation. This article reviews the benefits of this procedure, its diagnosis, indications, and treatment planning in detail.

Obstructive sleep apnea is the most common sleep related breathing disorder that is characterized by recurrent episodes of complete or partial obstruction of airway leading to reduced or absent breathing during sleep. Most common trigger factors are obesity, anatomical defects in the pharynx and reduction in airway which disrupts routine sleep cycle and results in reduced quality of life. This review article describes the sequalae of events due to OSA and importance in the diagnosis and management of OSA by orthodontists.

Canine plays an important role in esthetics, being corner tooth of mouth and function deserves special attention, therefore its impaction to be properly diagnosed and managed is essential. The dental professions has always had interest towards resolving this malocclusion. The orthodontists and surgeons have played an important rule and are proved successful in treating them. This article reviews prevalence, classification diagnosis, and treatment modalities in the management of impacted maxillary canines

SPSS is a set of software programs that are combined together in a single package. It aims at analyzing scientific data related with social science and can handle large sets of variable data formats. This software can be utilized for orthodontic research to contemplate results in a less complicated manner. It helps in analyzing and better understanding of data and solve complex research problems through a user friendly interface. The advanced statistical procedures help in ensuring high accuracy and quality decision making.

Temporomandibular disorders are considered as the main source of pain in the head and neck region which is of non- dental in origin. Its etiology is multifactorial and its pathogenesis has not been completely understood. The interest in the relationship between occlusal factors, orthodontic treatment and TMD has increased over the years. Hence the aim of this article is to review ten association of TMD and orthodontics from the available literature.

The number of adult patients seeking orthodontic treatment has increased over the past few years. While treating adult patients various factors like their psychosocial factors and systemic factors have to be considered in addition apart from the regular treatment planning. Also while treating the adult patients an interdisciplinary approach is often necessary. The treatment for adults differ from that of adolescent patients and has certain limitations to it.Hence the aim of this review article is to throw light on the various limitations of adult orthodontics.

The role of the third molars in the oral cavity have been extensively studied throughout the years. Various literatures discuss various aspects of the third molar teeth. But the subject that hasn’t been explored much is the influence of third molars on orthodontic treatment. The aim of this review is to throw light on the role of third molars in orthodontic treatment and their influence on late mandibular crowding.

Cleft lip and palate is one of the most common congenital craniofacial anomalies affecting the head and neck region. In addition to craniofacial defects, various dental developmental anomalies are associated with the condition. Complete oral rehabilitation of cleft lip and palate patients is a challenge among dental surgeons and orthodontists. As dental anomalies contribute to additional complexity in treatment, early detection improves orthodontic and surgical planning to obtain adequate esthetic and functional results. A thorough examination and identification of the existing anomalies is required before the initiation of orthodontic treatment as it involves extractions, and treatment prognosis relies on remaining healthy tooth crowns and roots to accommodate force application.

Anterior open bite is one of the most difficult malocclusions to treat with its varied characterizations. Appropriate etiology should be identified for effective management of open bite. Anterior Open Bite can irrespectively occur in all kinds of malocclusion. Aesthetics, speech, mastication and tooth wear are some of the common concerns for the patients. Thorough apprehension of the anomaly is important in determining the appropriate corrective measures. This review will throw more light on the etiology of open bite, diagnosis and treatment enabling the clinicians for better understanding of the malocclusion.

Any treatment procedure that eliminates or reduces the severity of the developing malocclusion is referred as interceptive orthodontic treatment.By initiating orthodontic and orthopaedic treatment at an younger age the need for complex orthodontic treatment involving multiple extractions and orthognathic surgery is presumably reduced.The goals of early treatment involve correction of skeletal,dental and muscular abnormalities to correct the oral environment before completion of growth and development. Prompt interventions are advised for predisposing conditions that may potentially develop a malocclusion.This review highlights various clinical situations and its effective interceptive management modalities.

Tour is going to be the foremost uttered word in weekends and summer breaks. So as to formulate tourism scenarios, the previous researches have provided an analysis report supported processing the downloaded images which seems to be partially accurate and time latency. The goal of our project is to verify the attractiveness of places supported location provided along-side the dataset taken such foreign tourists and tourists on-site to market the tourist places(feedback) and also to segregate the people into ages and suggesting them tourist spots. We are getting to build an internet application for our project. This concept benefits the tourists in various aspects like suggesting better places that also includes less popular but exorbitant sites.

Atmospheric pollution is the massive issue faced by the people worldwide. The primary sources of hazardous gases include ignition of coal, oil for electricity and transport, as well as emissions from industries and refineries. Volatile organic compounds are common in air pollutants which includes different kind of chemicals cause’s adverse health effects. In last few years sensors which has high sensitive to VOCs had been used; this paper summarizes the latest advances in sensors for detection of pernicious gases. In addition analytical information revised here shows the efficacy of the existing approaches in toxic gas prediction and an improvement in terms of data validation techniques to improvise the accuracy.

Cloud computing is the prevalent change occurring in the area of data innovation. At present a significant concern in cloud appropriation is towards its security and protection. In the progression of distributed computing the application part of virtualization in the long run builds, the extent of the security and protection steadily extends. The clients profit from cloud innovation for two main considerations that are Data protection and security. Cloud security conveys all the administrations dependent on clients need-firewalls, URL channels, sandboxes, SSL assessment, antivirus and remaining in a unified platform. It is an airtight security without the expense and multifaceted nature of apparatuses which shuts the security holes made by BYOD and portability. Despite the fact that distributed computing gives security there are some backlogs. The cloud security is hazards due to absence of information excess and consistency. Here, it represents the calculation of security by utilizing SRP convention which is a solid confirmation protocol (one-time guess per association endeavour) that oppose all well-known dynamic and detached assault over the system.

TOver recent years, there is a huge increase in road accidents which makes us take more surveillance actions to reduce road accidents. In recent due to researches there is a huge improvement in the field of deep learning and computer vision. Our project is mainly focused on developing a vision based alert system for drivers. We built the model with the help of convolution neural networks a sub field of deep learning and computer vision. We have taken road sign data and trained the model to detect 32 different road signs. The data has been collected from German road sign datasets which consists of 20000 images. We developed the learning model with Keras frame- work which is a high-level API. The Keras works on the Tensor Flow backend which is developed by Google. The Keras framework enables us to build a state-of-the-art model to detect the road sign. For developing the model and to pre-processes the image we have used python language which has a vast number of libraries for image computations and to build deep neural networks. The main aim of our project is to develop a vision based alert system for drivers which will help us to improve road safety. Our model will also help new learners to improve the driving experience.

The principle destinations of this paper are to recognize the understudy's learning style. In light of that, the gathering of understudies can be shaped utilizing k-implies grouping calculation. The grouping of students is a technique for leaning go give the effective learning for the users. Instructors value the ability to work with the help of a person. To be sure, studies show that they value it more than the ability to act autonomously. The value of effective learning, understanding, has been very much felt for some time. Acceptable learning is described by some credibility, where the best presentation of people understands what is best implemented by the whole crowd. It may be formal or mediocre, but often involves explicit teacher mediation, with less collaboration and increased learning.

A deteriorating inventory model of EOQ has probabilistic and shortages. Shortages can be accepted, but it is balanced by fully backlogged. Demand considered as quadratic time function and holding cost is parabolic. Demand items considered as a quadratic with highest power coefficient has negative sign, which pursues the Beta passion.From these inferences, a mathematical model has been framed and worked out using numerical solutionwith the help of computation table and represented using graph. Here the main aim determines thetime period should be optimal, highest order quantity of very least overall average cost.

In the manufacturing sector, the expectation of production and demand is the challenging one.To manage the above, it is necessary to concentrate the efficiency of the worker and replacement policy of the machines, the logistics and it supplies of the raw materials. Here to develop a model of inventory planning of varying production for changing deterioration items with linear demand, the keeping of the stock in a place is considered as fixed, the rate of deterioration is changing with time,using thesesupposition to develop mathematical formationprovides the solution in numerical and its parameter changing shown using computation table and represent using graphs. At last to check the time should be optimal, more quantity and very least overall average cost.

During olden days, in the inventory models of Health service firms, the demand and cost of holding the things were fixed. Now in the modern world, the above cannot be considered as fixed. It is changing from time to time and place to place. So we have to formulate a model of demand in quadratic with time function. The cost of holding the things are considered as parabolic equations of time where changing of fixed deterioration is taken. The shortage of stocks is allowed. Using this inferences, a mathematical model have developed and find the solution and represented using graph. The scope is time should be optimal, order quantity is more of very least overall average cost. This result has more importance in Health service firms.

The Animal is a nice creation of nature or God and it a beauty of the earth as well as part of the environment. Here the first question is whether an animal can be considered as a person. According to Salmond animals are not persons since they are incapable to hold rights and duties. But it is not true no doubt persons are two types into natural and legal persons. A natural person is a real human being with having rights and duties by birth and protected by law and State. Juristic persons are created and formulated by the law and having some rights recognized by State. An animal is a legal person when anyone has created cruelty towards animals. The term Animal is very wide and defined under the Wild Life law 1972, only living organisms like vertebrate animals, birds reptiles, amphibians, fish, other chordates, and invertebrates and also includes their youngsters and eggs, etc. mentioned in term animals. Our Indian constitution also protected the rights of animals through Article 21. In the A. Nagaraja1 case, the Indian Apex Court explained the status of animals in our legal system is very dignified. The animals are also a crucial part of human mankind as well as the goddess part of the environment. The Indian Constitutional scheme has incorporated the concept of welfare of animals like freedoms and protection of animals, provide better care and treatment for the animal. It is a utility for the development of nations and economies. The decision has played a greater role in the protection of the rights of animals and developed animal jurisprudence in India. So we can say the animal is not only the property of a person as well as prohibited cruelty towards animals. I consider this paper, rights of Animals in the Indian legal system as well as where that a treated a property.

A Diabetic Retinopathy (DR) is an eye disorder that infects the blood vessels of the retina and sooner or later ends in blindness if now no longer recognized and dealt with in time. The early detection and analysis of DR disorder is vital for retaining patient’s imaginative and prescient. However, the overall performance of current strategies become now no longer enough for early detection of DR. In order to triumph over such barriers in DR disorder analysis, the subsequent tri-strategies are proposed. First, Diabetic Fundus Image Recuperation (DFIR) technique is advanced with the goal of classifying the candidate fundus image for diabetic retinopathy disorder analysis. Second, Top-hat Mathematical Transform Fuzzy primarily based totally Feature Clustering (TMTF-FC) technique is advanced to obtain correct role of vessel phase in fundus photo and to enhance the overall performance price with human graded orientation standard. Finally, Random Forest Classifier with Prognostic Guidelines (RFC-PG) framework is advanced for early detection of diabetic retinopathy illnesses. The test end result display that the proposed DFIR technique drastically lessens the feature choice time of diabetic retinopathy disorder analysis with the aid of using 38%. Further, TMTF-FC technique improves the clustering performance of disorder analysis with the aid of using 18% with the assist of fuzzy primarily based totally feature clustering. Furthermore, RFC-PG framework improves the sensitivity in early detection of diabetic retinopathy disorder with the aid of using 16% as compared to modern-day works.

Heart sickness is the major critical reasons of mortality in the globe today. The gauge of coronary illness is a most basic test in the clinical information investigation zone. A few strategies are proposed to discover the result of ailment at prior stage which is as yet getting looked at. The Data mining is generally used to separate the critical, significant and wanted information from the patient's datasets. The few characterization techniques are utilized in the customary strategies for the coronary illness forecast in which the information mining ascribes are taken care of it. In this paper, to obtain a optimal result and also for the prediction of heart disease in the earlier stage, the novel hybrid FA-KNN are proposed. The proposed FA-KNN is the hybrid combination of machine learning algorithm of K-nearest neighbour and the optimization method of Firefly Algorithm which has been analyzed that produces the best result for all types of health related datasets. Therefore, the outcome of FA-KNN provides the optimal results in terms of precision, accuracy and recall with the evaluation of conventional methods.

Macular edema is one of the retinal variations from the norm which influence the vision of the individual and prompts visual deficiency torn up pretty bad. In this paper a completely robotized strategy is proposed for the early discovery of macular edema in retinal fundus pictures. At first, the anatomic structures of retinal picture, for example, vessel, optic disc and fovea are identified. At that point the exudates which are available in the fovea part are distinguished for reviewing macular edema. The proposed technique was assessed on the two openly accessible DRIVE and STARE databases.

Myocardial infractions are the main explanation for death within the world nowadays, significantly in India. The need to predict this is often a serious necessity for rising the country’s health-care sector. Exact and precise prognosis of the consumers illness in the main depends on graphical record of cardiogram information and clinical data. This record is being fed to a nonlinear contagion prediction model. This nonlinear cardiac function observing module is having the ability to notice cardiac abnormalities. The predictable system develops consociate in developing productive approach to gather the clinical and graphical record of cardiogram data, thus to train the simulated neural network to accurately predict the cardiac abnormalities. The proposed system can analyze the graphical record of cardiogram and clinical information to train the neural network for predicting opportunities of the myocardial infraction and it can generate a report expecting the deviations within the cardiac or its functioning.

Human activity recognition is one among the foremost vital rising technology. Principle parts from the body parts territory are utilized for human movement acknowledgment to scale back spatial property. A multi scale delineation human action acknowledgment is done to save the segregate data before spatial property decrease. This paper could be a human action Recognition system for identification of person. It takes input a video of COVID-19 patients and searches for a match within the hold on pictures. This method is predicate d on Gabor options extraction mistreatment Gabor filter. For feature extraction the input image is matching with Gabor filter and further personal sample generation formula is employed to pick out a collection of informative and non redundant Gabor options. DNN (Deep learning Models) is used for matching the input human action image to the hold on pictures. This method is used in hospital management application for detecting the COVID-19 patient activity from surveillance cameras. By using the SVM and deep learning the human activity is recognized using matlab tool.

This paper presents detailed information about blockchain technology about how blockchain technology is applied for cloud security. Blockchain is one of the novels and ever breaking technology used for high security, which has been used in high-level government applications. In this paper, to tighten the cloud security, the blockchain security model is implemented and integrated with the cloud application. Thus, the healthcare application-based cloud environment is considered as the base application and experiment blockchain algorithm. From the obtained and compared results, it has been found that the blockchain security is highly suitable for cloud security and performs well in securing data during persistence and transmission.

Glaucoma is the most common sources of the retinal disease that leads to permanent impaired vision worldwide. An automatic Optic Disc (OD) findings in retinal images utilized to diagnosis eye-related diseases like diabetic retinopathy. Numerous methods are offered to detect OD in low-resolution retinal images. This work presents an automatic glaucoma diagnosis using an image processing technique from the digital fundus image. In this work, a novel Particle Swarm Optimization (PSO) optimized KNN used for glaucoma disease classification. PSO is a naturally inspired optimization algorithm, utilized to find optimization parameters of KNN to improve classification accuracy. The proposed algorithm divided into three stages. Preprocessing stage includes noise removal, contrast enhancement using histogram equalization. For OD detection FCM has been used. Finally, PSO-KNN classifier used for categorizing healthy and non-healthy images of Optic Disc. The proposed technique has been coded in MATLAB and tested in the standard database of DRIVE and STARE fundus image. From the result observed that compared to other algorithms proposed approach improves accuracy considerably.

with the invention of different software tools, innovative performance, and services are to introduce in the sense of smart health maintenance. As health is a delicate topic, care must take with the utmost care and vigilance.This article gives a new medical imaging falsification recognize software for the healthcare maintenance industry to ensure that photograph about health maintenance is law-abiding. The framework operates on an image uproar monitor, uses a multi-goal relapse detector on a noise chart, and takes care of information to vector-based and outrageous learning classifiers. The noise map creates only on the edge computing network while separating and arranging done on the central cloud computing system. Therefore, the software runs flawlessly and continuously.

Genome, material of genetic, within all living species consisting of DNA (or) RNA in mRNA. Genome analysis is the process of identifying, measuring or comparing the features of genome lists sequencing DNA, Structural variation, expression of gene, regulatory element annotation and genomic scale of functional element annotation. Genome sequencing is the process of storing the data plays the major role in different field of engineering. It also matters in genome sequence analysis for storing the raw samples, sequenced genome and repetitive data. This paper gives the overview of genome sequencing, its types and storing concepts.

Over one third of world are employed in agriculture and the quantity is gradually falling because the financial losses of the farmers. One of the causes behind this momentary loss is the shortage for era in agriculture. Continuous cropping and over use of fertilizers cause the decline in soil productiveness and impact the environment as well The paper explains how the amount of soil vitamins and environmental factors followed by the pointers for cropping and special fertilization of the site can be established. 1 The selection of the best crop for the soil and the sowing of it to provide the full yield is one of the key problems in agriculture. The proposed method takes the soil and PH samples as the input and helps to predict the crops that can be recommended suitable for the soil and fertilizer that can be used as the solution in the form of the webpage.So, the soil information is collected through sensors an the data transmitted from the Arduino through Zigbee and WSN ( Wireless Sensor Network) to MATLAB and analyzing the soil data and processing is done with help of ANN (Artificial Neural Network) and crop recommendations is done using SVM ( Support Vector Machine ) .

Augmented Reality is a technology which works with recognition algorithms based on computer vision. Day by day, new editions of books make huge volumes to the library as it makes it difficult for students as well as librarian guides to pick a correct book. By using the Augmented Reality (AR) application, our challenging task is, one able to search books in the library using a mobile camera with help of Unity3D and Vuforia. Details of the books like category, title and authors appear to the user through a mobile viewing device. Once we start the application the camera will fetch the image frame and identify the image (Marker can be of QR code). With the help of markers, 3D virtual objects appear in the corresponding location in the real world. So, the objective is to design a flexible model of 3D objects for the library as there is no need for a Library Guide, instead it acts as an AR Guide. The proposed Library Digital Guide using Augmented Reality has been tested at our college Library.

In this paper, we seek to predict user’s diseases based on their symptoms. To achieve our target, we use the Decision Tree Classifier which helps to detect the patient’s health condition after receiving their symptoms by giving the predicted disease. The dataset contains physiological measurements with 40 instances(Diseases) and 132 attributes(Symptoms). Additionally, the respective patient’s EHR is also collected for summarizing the prescription/test report using NLTK.

Epilepsy causes sudden and unforeseen seizures in patients. Electroencephalogram (EEG) is a non invasive procedure used in brain control and epilepsy diagonsis. The non-stationary nature of EEG signals poses difficulty in extracting features of diagnostic importance by simple analysis method. For epileptic seizure detection from EEG signals,a simple classification methods is suggested in this paper. Publicly available dataset is chosen for testing the method..The Fourier transformation is used to convert EEG input signals from the time domain to the frequency domain for deeper analysis. Butter-worth band-pass filter is applied to get improved signal-to-noise ratio and decomposition is performs Discrete Wavelet Transform (DWT) for better spatial resolution. Based on the interval and extracted spike based features the normal and epileptic signals are classified using one of the machine learning algorithms known as Support Vector Machine (SVM).

With the expeditious growth in digital technology, biometrics makes the highest level of security compared to conventional methods like passwords and PIN numbers. Biometric is the measurement and statistical analysis of a user's unique physical (Fingerprint, Iris, Hand, DNA, Face) or behavioural (Voice, Sign, Keystroke) characteristics. Among all the Biometric techniques, Fingerprint is distinctive for every person and it can be utilized as a technique for individual identification. In this paper, a fingerprint template encryption scheme based on DNA Encoding and Genetic Algorithm is proposed to secure fingerprint templates. The fingerprint template is processed by feature extraction and the features are encrypted using DNA cryptographic algorithm .XOR operation is performed for the second layer of authentication. During the decryption process, we obtain the feature vector which matches with the input feature vector and the user input image is retrieved as final output.

Sentiment Analysis is a sub-field of Natural Language Processing. This is characterised as a method of recognizing and classifying opinions from a text document and is helpful in determining user’s intention for specific subject is neutral, negative or positive. It is also termed as Opinion Mining. The motive of our proposed work is to detect hate speech in tweets. In our case, we consider a twitter post to be a hateful speech if it has a negative meaning. Hence, our objective is just to categorize negative tweets from overall tweets.

In this paper,we have done image processing as a project to identify an object. In order to find the unlabeled data with images, we proposed the project with the Faster-RCNN-v2-COCO model. This is processed by convolution neural network model with the region proposal network (RPN) method labeled data has been trained to learn the object of a particular image. This algorithm proposed for faster accuracy and better performance in detection by training N number of labeled data. Moreover, the error propagated during the training phase is reduced by including several pseudo annotations that are generated in the previous training phase. The result of the experiment reveals Currency detection, Signal detector, real time household objects are basic applications that are developing by object detection.

Urbanization and industrialization cause various changes in the environment and the resulting chemical and organic matter causes various harms to living things in this world and this harm also affects future generations. Fluoride, one of the wastes from the fertilizer industry and some manufacturing plants, mixes with water and causes various anatomical and various harms when it is ingested by organisms. Its concentration can be reduced more easily by the absorption method than by various methods to remove fluoride from water, this is called defluoridation. Fluoride, which has an opposite charge property, can be easily removed by a positively charged material. Part of this can be removed by absorption with an aqueous solution made from the cover of tamarind fruit.

Air pollution is amixture of complex particles of solid and gases phase inthe air we breathe.Various types of emissions from chemicals and fumes from factories, motor vehicles, dust, pollen and mold from spores may be suspended in air as particles.[1]There are a lot of dust particles present in the atmosphere, among them hazardous substances are also present. The particle size is a direct relation to their capacitytocreate negative health impact.[2]Exposure to Air pollution poses complex problems, which are, heart or lung disease which lead to premature death in people, nonfatal heart attacks, fluctuation in heartbeat, asthma, decrease in lung function, with numerous respiratory symptoms, such as irritation of the airways, coughing or difficulty breathing.[3]Particulate matterof size less than 10 μm in aerodynamic diameter pose a higher risk, because they are susceptible to enter into your lungs, and some may enter your bloodstream.[3] Our study is only about the particle size PM2.5& PM10. We conducted this study at selectively five locations which were getting polluted day by day. Among them twolocationwere highly polluted. Station 1 & Station 3 had a PM10 concentration of 60.83μg/m3 and 86.32 μg/m3. In terms of PM2.5, Station 1 & Station 3 had the maximum concentration of 70 μg/m3 and 83 μg/m3 but was within the guideline limits as per CPCB.

The increasing environmental concerns have created need innovations in concrete, such as lightweight concrete that can be cured without water. This project aims at sustainable use of material in improving infrastructure, sustainable cities and communities. Concrete is prepared by replacing a certain amount of cement with pozzolanic material,fly ash in 0-30% by weight in different mixes. Foaming agent is added to reduce the dead weight of the concrete. Sulphonatednaphthalene formaldehyde is added as a water reducing agent, this reduces the required water content without compromising on its workability. blocks are casted and cured in atmospheric air. Then the blocks are tested, the compressive strength as well as the water absorption results are obtained and compared.

Changed delivery dosage structures have been created to deliver drug to the aspect of the body where it will be ingested, to streamline dosing plans, and to guarantee that centralization of drug is kept up over a fitting time interval. Drugs that are not innately dependable require various every day dosing to accomplish the ideal therapeutic impacts. Numerous day by day dosing is regularly badly designed and can bring about missed doses, made-up doses and patient rebellious with therapeutic routine. Blood levels of drugs from conventional prompt delivery dosage structures taken more than once every day following distinct timetable normally demonstrate consecutive pinnacles and troughs (valleys) related with each dose. Intended to deliver their prescription in controlled way, at a pre-decided rate, span and area in the body to accomplish and keep up optimum therapeutic blood levels of drug.

Oral routes are most usually favored course for delivering drug. Most basic oral dosage structures are tablet and capsules. However, numerous patients, for example, geriatric, pediatric and dysphasic patients discover hard to swallow ordinary tablet and case. To conquer different issues identified with gulping, Fast dissolving Tablets (FDTs) were planned in mid nineteenth century and consequently further progression has prompted improvement of Fast Dissolving Oral Films (FDOFs). In the ongoing years, huge numbers of the drug bunches are zeroing in their examination on rapid dissolving innovation. Among the plenty of roads investigated for rapid drug delivering product, FDOFs innovation is increasing a lot of consideration. These are solid dosage structures, which crumble or dissolve inside 1 min when put in the mouth without drinking water or rumination. This innovation has been utilized for neighborhood activity just as rapid delivery products. The fast dissolving oral films are planned utilizing different Active drug fixings (API), film forming polymers, plasticizer, flavors, colors and sweeteners. At first FDOFs are up to breath strips, dessert and oral consideration markets. In any case, presently it turned into a novel and generally acknowledged innovation for delivering OTC and professionally prescribed medication as well.

Cardiac arrhythmia can be identified using abnormal electrical activity of heart, this is a great menace to humans. In order to diagnose cardiac problems ECG signal is widely used. When the background noise is rejected from the ECG signal we obtain a QRS component. This QRS component consists of high frequency and high energy waves that are very easy to detect and study. Once QRS component is obtained, it is further spited into various classes that can aid in diagnosing the abnormalities. Previously extracted features are compared to find the heart abnormalities. In this paper Feed-Forward neural network is selected and data base are used to store and analyze the data.

Maximum Power Point Tracking (MPPT) control for stand-alone solar power generation systems via the FCM Clustering model-based approach is considered. A DC/DC boost converter is used to regulate the output power of the photovoltaic panel array. Genetic algorithm optimization technique is employed for solar power generation systems. Furthermore, experimental results show that the system can track the maximum power point accurately and fastly, such that the proposed method can eliminate the power oscillation at maximum power point.

In today’s growing world, the use of electrical supplies increase day by day. When compared to generation of electrical supply and demand of electrical supply is not equal In other words, generation is less than demand. In this situation as world is having less sources of generation, this will create electrical crises. So, to meet the demand requirements is only possible way of saving electrical energy or it may also mean that reducing the losses of energy. Concerning about the losses of energy some major aspect is Power Quality, Iron losses, Copper losses, Transmission and Distribution losses etc.. In this paper we consider improving power quality in terms of power factor and harmonics by using static VAR compensator with metalized film capacitor. Also, in this paper, we are assessing the performance of MPP Capacitor in static VAR compensator at foundry.

As of late acceptance engines assumes a crucial job in local and Mechanical territories contrasted with DC engines and simultaneous engines in numerous viewpoints like cost, size, productivity, life length and viability. In this paper we propose an open circuit issue can be distinguished through estimating the stage and line voltage of the inverter. It very well may be finished by supplanting an additional arm gave in the circuit the impact of the difficult will be distinguished. At that point the terminating edge from the processor is given to the additional arm. The substitution of switch will be managed ceaselessly the entire framework and recoveries the unknown time. Re-enactment results are given to exhibit the recognition and substitution. This test material to control the undesirable fault and used to fabricate a three stage impedance source inverter model.

Automatic bus tracking is an important approach to modern intelligent transportation systems (ITS). The aim of the project is to recognize the bus which passes through the gate by automatically using RFID. Generally the bus is tracked in the gate during the entry and exit. The system detected the bus entry using RFID then sends the bus entry to the cloud [Internet of Things] via Wi-Fi to the database. It tracks each and every bus enters and exits in the gate and display reports with date and time of bus entries and exit in online (webpage).

In today’s internet era various websites through which a number of individuals purchase items. There are certain online forums which request their users to provide confidential data such as card number, cvv, pin number etc. for various malicious practices. These websites are referred as Phishing Websites. Therefore, to distinguish between the authentic website and the malicious website we suggested an intelligent, adaptable, and efficient model that utilizes Machine learning techniques. We carry through the project using the algorithm of classification and different methods to gather the phishing websites dataset to verify its validity. These spoofing websites are differentiated on certain significant attribute such as encryption standards, Domain Identity, URL and security. The project will utilize machine learning concept thus informing the user if the website is legal or not. This software is highly secured and can be utilized by many E-commerce ventures so as to provide hassle free transaction. Machine Learning design utilized in the project gives good results when compared with other standard classification algorithms. Detection of Phishing web site is ML intelligent and effective model that’s supported victimization classification or association data processing algorithms. The algorithms we are using here is logistic regression. We are also using decision tree classifier so that we can make a point-to-point comparison between them which will help us to know parameters like accuracy and time taken.

In our society, many people are suffering from paralytic diseases which causes several disabilities like they are unable to talk , move physically and also to express their needs. Still, they mostly move their heads and blink their eyes. Based on their ability to blink, we have designed our project which is working under the principle of Brain-Computer Interface (BCI). BCI is based on the direct communication path between the Brain and digital computer. The BCI system enhances the quality of paralytic patients life. BCI which monitors EEG waves from the Brain. EEG –Electroencephalography which observes an Electrical property of the Brain through the Scalp (Noninvasive). The NeuroskyMindwave mobile measures intentionally directed EMG activity (blink strength).
Our proposed system helps them to control the robotic car to the desired place by their eye blink. So they don’t need any caretaker to drive them, they can drive their robotic vehicle themselves. The robotic car starts moving when we run the program; then the direction is chosen by having eye blinks.

Agribusiness is the foundation of Indian economy. Plant health and food safety goes hand in hand. The health of green plants is of vital importance to everyone.Plant diseases being an impairment to the normal state of a plant, it interrupts or modifies plants vital functions. The proposed system helps in identification of plant disease and provides remedies that can be used as a defense mechanism against the disease. The database obtained from the Internet is properly segregated and the different plant species are identified and are renamed to form a proper database then obtain test-database which consists of various plant diseases that are used for checking the accuracy and confidence level of the project .Then using training data we will train our classifier and then output will be predicted with optimum accuracy. We use Convolution Neural Network (CNN) which comprises of different layers are used for prediction.CNNs provide unparalleled performance in tasks related to the classification and detection of crop diseases. They are able to manage complex issues in difficult imaging conditions A prototype drone model is also designed which can be used for live coverage of large agricultural fields to which a high resolution camera is attached and will capture images of the plants which will act as input for the software, based of which the software will tell us whether the plant is healthy or not. With our code and training model we have achieved an accuracy level of 78%. Our software gives us the name of the plant species with its confidence level and also the remedy that can be taken as a cure.

In this technology world, a recent technology called Chat Bot which have been in demand and usage for every business purpose and have hit the market. Chat Bots is an interaction between person and bot which gives us an efficient service and it also gives the way to develop customer engagement and efficiency by reduction of cost by using these service .Chat Bots can be accessible at any time, which can handle capacity that is chat bot can chat with thousands of people at a time. It has a flexible attribute as well as customer satisfaction. A Chat Bot is constructed using natural language processing with the help of machine learning algorithm for training the bot and to make up the bot to perform in a right way and so training and testing is done using ML.This paper gives an overview of Chat Bot and challenges we faced behind the Chat Bot with extra features of images. Our proposed system is aimed at giving out the desired answers to a definite set of queries . This can be best employed in the situation of COVID-19 since every industry demands the less use of contact between each other since it works on an offline basis. Keywords - Chat Bot, NLP, Machine Learning (ML), Artificial Intelligence (AI).

The Smart Wheel chair system proposed in this paper helps to physically disable people or adulthood people to move around without others help. Normal wheelchairs are manually operated and heavy to move. It makes suffered people to depend on others. These wheelchairs that are equipped with sensors and a data processing unit constitute a special class of wheeled mobile robots, termed smart wheelchairs in general literature overviews. n the existing system, the wheel chair movement is controlled by joystick and buttons are used to start and stop the wheel. This is difficult to handle the differently able person to press the button. In the proposed system, the physically disabled person can control their wheel by manual. MPU6050 sensor is used for gesture symbol. In manual mode MPU6050 sensor and accelerometer is used to control the direction of the wheel of the motor. The proposed system contributes to the self dependency of differently able and older person. The robot will be access both manual and automatic mode. Blood oxygen sensors monitor the oxygen level of blood in patient body, blood pressure sensor monitor the patient heart rate parameter and the temperature sensor is used to calculate the body temperature, these sensor are monitor by the microcontroller and the microcontroller collect the data are sending to mobile phone via Bluetooth module.

Many stages of interconnected switching elements (SEs) forms a Multistage interconnection networks (MIN) which has high-speed, low cost and high reliability and used for parallel processing, broadband switching technology etc. Executing a task with good performance in faulty condition is very significant in a MIN. That’s why fault tolerance in MINs is a very challenging issue in present research scenario. A new fault tolerant irregular MIN named as Modified Irregular Omega Networks (MION) is proposed in this research paper. The MION is a double switch fault tolerant MIN and it performs better fault tolerance than existing Irregular Advanced Omega Network (IAON) under non-faulty and faulty network environment.

With the remarkable development of digital medical images and high-speed transmission networks and computer technologies in current year, authenticity and security of the medical images have been big issues for E-health application. In order to this many different remarkable watermarking strategies and concepts have been introduced by researchers. In this paper we concentrate on the possibilities for assurance of medical images using the principle of digital watermarking. There are many methods it looks from their basic perspective. One of them perspective is security to ensure authenticity and copyrights. Other we discuss watermarking methods classification which are based on different parameters such as: insertion domain (spatial and frequency domains)..

This research article proposes a model of management based on the methodology that the Infrastructure Library of Information Technologies (ITIL) raises through the life cycle of the service. In the development of this investigation, areas, groups interdisciplinary and tools that satisfy the problem of complex relationship between business and technology. As part of the methodology of this study, a bibliographic inquiry was carried out and analyzed operational experiences of the object of study, which were related to the alternatives and disciplines that the ITIL methodology proposes. As a result of the investigation, a model of management that relates areas, groups, roles

These days enormous amounts of information are at almost everyone’s disposal with a single click of a button, and that too on a hand-held device. Data can be present in various forms like still images and slides of pictures like a video or GIF, over various websites present on the Internet. Because of the excessive use of this data, it also becomes important to secure it as it can be duplicated, transformed, stolen, tampered or misused pretty easily. Recently, there has been a spike increase in the use of medical images in various E-health applications. In order to counter these potential threats, a number of watermarking techniques are being developed. A watermark is embedded in an image in the form of some pattern that can be used to authenticate the integrity of the image. This paper deals with the various algorithms that have been developed, proposed and utilized in recent years to solve the highly complex problems that have been faced while trying to secure the medical images from different kinds of threats. Alongside the survey of the techniques, this paper also goes through the concept of watermarking, properties of watermarking, various challenges faced by watermarking for medical images and the summary of different techniques for watermarking.

Postpartum Haemorrhage is the loss of blood in excess of 500 ml during vaginal or caesarean deliveries. Based on the amount of blood flow, PPH is classified into two types primary and secondary PPH. primary PPH will occur within 24 hours of delivery which may lead to immediate death and secondary PPH will occur after delivery or up to 6 weeks of delivery. It is more difficult to find a PPH in earlier stage, so pregnant women are exposed to excess blood loss which causes them to suffer and die.This project mainly focuses on the symptoms and detection of postpartum haemorrhage and hypothermia. It provides a life-saving product model which is affordable, easy to wear and highly comfortable. It also elaborates the health issues faced by women during and after child-birth.Initially, a low- cost prototype model is built which has sensors to measure and record temperature, blood pressure, pulse rate, sweat and fast heart beat.Based on the mere success rate, it is then built as a product-based model which provides more accurate and highly efficient result that helps for maternal issues and decrease in the morbidity rate.

Multiplier is one of the hardware components that typically consumes a significant chip region which requires to be reduced and can be helpful to a wide range of applications whereby multiplication components are an essential device, such as digital signal processing (DSP) systems or computational methods. The proposed method it accelerates applicants like digital filter, machine learning and neural networks by developing a two-speed radix-8 serial parallel multiplier. Proposed multiplier is a variation of the adapted radix-8 Booth multiplier serial – parallel (SP), which only incorporates nonzero Booth encoding along with skips over zero functions, allowing latency based on the multiplier size. This study focused on DSP applications where in multiplier remains being used substantially and suggests strategy that helps to minimize the hardware as well as latency contributing to improved device output and thereby helps to improve the running frequency by a substantial amount. An 8-bit multiplier was designed using a booth multiplication of radix-4, which decreases number of partial products.

Multipliers are significant in the present computerized signal preparing and different applications. With advance in innovation, numerous explores have attempted and still are attempting to structure multipliers that offer both of the accompanying plan targets rapid, low force utilization, consistency of design and subsequently less region or even a mixed combination of these in one single multiplier along these lines that makes them appropriate for different speed, low force along with reduced VLSI usage. In existing Wallace multipliers are utilized to ascertain fractional items and full adders are utilized as counters which utilizes no XOR doors. To diminish deferral and force utilization full adders and half adders are supplanted with bit stacking. A basic low force fir channel is structured utilizing stacking idea.

Solar power is the emerging field of energy production in the field of renewable energy. Here for the tapping of this abundant resource is possible only by using solar panels or Photo voltaic cell. Even though it is implemented in a larger scale the energy efficiency or the output efficiency produced is less than 20 percentage. The maximum efficiency achieved by using High-Quality solar panels is roughly around 23 percentage. Using these High-Quality solar panels at a larger scale will not be much economical in ratio to the revenue the plant can generate. Thus various efficiency increasing methods are adopted to produce higher efficiency at lower cost. The fundamental factor for increasing the energy output of an individual solar panel is highly dependent on the time period for which the panel is exposed to the maximum amount of sunlight. The existing methods which are readily available consist of a Timer which rotates the panels to certain angle along the sun’s position, here in this proposed setup we have an embedded system, GPS receiver, router, IOT Cloud, Wi-Fi modem, display, motor, motor driver, solar panel, solar panel tracking mechanism, angle sensor, battery, battery charge controller, driver, voltage sensing unit, ADC and display. The embedded system receives current time and date from the GPS receiver. According to time and date, the position of the solar panel is calculated by the embedded system. Then the embedded system triggers the motor driver for controlling the motor. Here the motor is connected to a solar panel tracking mechanism on which the solar panel is mounted.

This paper comes up with the boat localisation based on the RSSI(Received signal strength indication) technology .This paper focuses on the boat localisation that is finding the location of the boat irrespective of the climatic conditions and border identification that is guiding the boat about the border and making the boat not to cross the border by turning off the engine .The proposed system comprise of Arduino MEGA, RSSI zigbee, DC motor and the monitoring will be done by the PC in the control room This system gives three kind of alerts to the fisherman in the boat .The first alert will be given in the form of message .The second alert is if the distance between the fisherman and the border does not decrease despite of the alert message then the APR voice will alert the person that there is a border at a certain distance ahead .The third alert will be in the form of action that is the boat engine will be turned off so that he cannot cross the border.

Gradually the number of inhabitants in our nation is expanding and the necessity of the utilizing things and their power consumption is additionally expanding. Simultaneously the wastage of vitality is likewise expanding in many ways. So, reforming this energy back to usable form is the major solution. In this human stride power generation system, we are developing power with the assistance of human's stride which is additionally used to charge a battery. The force put away in battery is utilized to charge IOT device utilizing RFID card. This framework is fueled up by At mega 328 microcontroller, it comprises of Arduino IDE,RFID sensor, USB link and LCD. At the point when power was on the framework, the framework goes into the enlistment mode. We can register three users. Once all the users are entered into the framework then the framework requests to swipe the card and associate the charger. At first all the client is given a total time of five minutes of charging time as default. User approved upon swiping card, the framework turns on for charging and will accuse the IOT device of given time allotment.

Because of increased usage of automobiles such as cars, bikes, etc. In current era, it became very hazardous in controlling traffic. Because of this, the signalling systems works with longer time delays. This problem can be solved by the following design. Traffic signal with a delay of 1000ms have been designed. To monitor and control the traffic based on density at the crossings or four-side lane or roads system using Arduino mega 2560.

Substances of foreign origin are called pollutants, plays a main part in alarming health hazards. The essentiality of Water is being used without considering the dreadful contaminants. Arsenic, the most potential and dreadful element is always ignored whenever there is a need for purification of water for the purpose of drinking. Rehabilitation of any affected area in view of health issues is highly mandatory as per the international provisions of Environmental legislations. In this work, we have tried to identify the potential pollutants, their sources and contamination limits toward hazardous health effects.

The present study attempts to develop a Strategies based on ICT Problem solving model for enhancing integrated process skills in Physics at the Higher Secondary level. It is concerned with finding out the effectiveness of the Problem Solving Model in enhancing Integrated Process Skills in Physics at Higher Secondary Level. Samples of 84 students were selected for the study. The analysis of data for examining the significance of hypotheses formulated in this context was performed using appropriate statistical techniques. The major statistical techniques applied for the analysis of data are computation of coefficient of correlation, critical ratio, delayed post-test and analysis of covariance (ANCOVA). Findings from this study revealed that there is significant difference between the control and experimental groups with respect to the posttest scores for integrated process skills in physics at the Higher Secondary level. finding that the Problem Solving Model for enhancing the integrated process skills in physics at the Higher Secondary level is effective than the traditional method currently being practiced in the Higher Secondary schools of Kerala.

The objectives of the present paper are two folded in nature. It reviews the relationship between academic achievement with respect to psychosocial variables such as study habits and learning environment. The paper also substantiates the impact of study habits and learning environment upon achievement of the learners at secondary level through an experimental study conducted among secondary level learners from Kollam district in Kerala, India. The scores for data analysis was obtained by utilizing study habits inventory and learning environment scale developed and standardized by the author. The terminal achievement scores of the students have also been considered to analyse the academic progress of the learners. A sample of 40 students was selected for the study. The relationship between learning environment and study habits reveals that there is a strong significant relationship between learning environment and study habits among low, average and high achievers in English at secondary level among students in the secondary schools of Kerala.

Recently, vigorous attempts have been accomplished to expand brilliant and essential attachments amongend users and computer-established scheme built on human gestures. Gestures bringan automatic attachment to the two human and computer. So, like gesture-based attachments cannot alone alternate the common interface devices, but can also be employed to prolong their functionality. In this paper, a hand gesture-controlled car is designed with the help of Arduino. The movementsof the hand is used to control the car rather than employing a remote along with buttons or video game joystick. This paper is based on wireless transmission, position of the bits taken by the hand movements given through the car by RF wireless connection.

In this document a simple 32 bit RISC based MIPS type processor by using Peres Reversible Logic Gates, which gives transaction in delay and frequency. The synthesis and simulation is conceded out by using XILINX ISE 14.5 and HDL is urbanized by means of VHDL language with vertex device. The smart world looking in making of smart gadgets by using processors and decade by decade the speed and other parameters are getting minimized for better performance. here introducing to RISC based MIPS architecture based processor for high speed is done .which works without compiler where the existed general processor is in use of .with the use of MIPS RISC architecture the arithmetical, logical and shift functions are done in reduced time as there is reduced instruction set computer, it employs a good number of registers than to transistors. The processor internally consists of some blocks so that the operations are performed. RALU(reversible gate arithmetic logic unit) is considered to be the main module of the processor which provides task functions and other blocks are also exists such as control unit ,program counter ,instruction register ,memory .

In modern years, the development of technology has been rapidly improving and applying in aquaculture, also known as aqua-farming. A versatile, advanced shrimp farming based on Raspberry pi. A pH sensor, temperature sensor, water level sensor, turbidity sensor are used here to monitor the sudden abnormal change in the condition of the shrimp pond. Besides that, Raspberry pi is used as a server to control all the sensor nodes in this system. The system also sends an alert message through SMS service to prompt the user when needed or to monitor the system on the mobile phone. Thus, time consumption, man power, efforts of the farmer can be reduced. The proposed design has been successfully planned with a dependable, fast response and easy to use with a friendly environment. It is appropriate for small to mid-sized farming operations as it does not require any remodeling of the water front. In this work, a wireless sensor platform is developed, applied to the measurement of temperature, pH and water level in the environment shrimp ponds. The control platform consists of Raspberry pi to control all the system. Then the artificial intelligence system is developed to achieve data from sensor network anywhere via web application as well as Android application. The system is monitored in real-time and can be controlled manually or automatically.

An infrastructure built in the Manet platform which is reliable to challenge the IT development communities of data stream in high dimensional data cluster modeling. This paper is based on reducing energy consumption and packet loss that leads to congestion control using random early detection (RED) and advanced load balancing in MANETs. Thus, this paper introduces an efficient routing technique called advanced load balancing Multipath routing using AOMDV protocol with fractional order particle swarm optimization (MRFPSO) in MANETs to efficiently balance the load among multiple path by reducing congestion using random early detection. This paper introduces a congestion control mechanism and an advanced load balancing mechanism during the data transmission process. The advanced load balancing mechanism is the selection of a gateway node by using link cost and the path cost to efficiently distribute the load by selecting the most desirable paths. The parameters in this paper in terms of control overhead, packet delivery ratio, average delay and packet drop ratio are found.

In this paper it has been described that electromagnetic band gap (EBG) structure design is applied in the antenna structure in order to enhance the performance of the antenna especially for improving the gain and radiation pattern. Microstrip patch antenna is used due to the advantages such as unchallenging and economically viable fabrication, light weight, low profile and can easily integrated with microwave circuit. This project involves the study of simulation results and fabrication process of EBG structure in the microstrip patch antenna using aperture coupled feeding technique . The simulation is done by using microwave Studio suite CST. From the simulation process, the designed microstrip EBG antenna shows considerable enhancement in performance in terms of radiation pattern, gain and return loss, S11 and works in the frequency range of 5.4GHz to 6.9GHz. Improvement in the mutual coupling is also shown in the designed aperture coupled microstrip EBG antenna and thus makes it suitable for wide angle scanning active phased array antenna. Other than that, the EBG structure also can be applied as a band reject especially for ultra wide band application which operates at very wide frequency ranges. By using aperture coupled microstrip EBG antenna of this design the overall gain performance is improved.

Object detection plays an important role in real time applications. It is used in many applications such as surveillance monitoring, human machine interaction, army base etc. The main aim of this paper is to detect the object and to detect the colour of the object using Image processing technique. Pi camera. Raspberry pi 11 kit interfaced with pi camera is used for detection of object. Raspbian os with python coding is used for object detection and colour recognition.

This paper is lined up with smart husbandry monitoring framework with live surveillance using MQTT. In this paper the focus is to keep track of the animals in the farm by monitoring the shed temperature level, water level which comes with a remote control. For the farm monitoring an IOT module is developed using embedded technology. The microcontroller is connected with temperature sensor, waterlevelsensor, PHsensor, ultrasonic sensor to know the accurate values and to change them accordingly. The doors and the lights can be operated using the remote control in this paper which make the shed more secured. The camera used the shed will be ESP32 WIFI camera for the vision.The software tool used Arduino IDE and the programming language used will be Embedded C.

In over Country day to day we are using in every house LPG cylinder Plays very important role and its cost is also pays an important for every middle class family so we need have a control on it like weight of cylinder and lick of the any gas from the cylinder as now days max in all family all the members are working people only so to provide security to LPG cylinder if we have any gas licking finder it will help everyone at home to take action to overcome this problem in exiting system, in our paper in the proposed system we fixed a weight sensor for monitoring of weight of LPG cylinder time to time using a weight sensor, any type of Gas lick using gas sensor MQ-2, we will provide any android app to end user so that he will have live monitoring of LPG Gas Level, temperature and humidity sensor GAS lice and SMS notification like gas level, gas status.

Single Electron Transistor is a promising for future nano electronic devices with low-power consumption, fast speed, and ultrahigh density integration [2]. The work is to compare the characteristics of silicon based Single Electron Transistor , Single-walled-carbon-nanotube - based single-electron devices . Single walled carbon-nanotube - based single electron devices are fabricated with long SWNT channel surrounded by several short SWNTs on the electrodes [16]. Silicon based Single Electron Transistor has the quantum dot which is made up of Silicon. Based on the material of the dot characteristics of the SET will vary. The Coulomb blockade effect is the key mechanisms for such devices to work properly. Since the first demonstration of SWNT single electron transistors at room temperature is carried out [1]. The Silicon Based Single Electron Transistor is demonstrated by L. Zhuang et al.[3]. Previously, the silicon single electron transistor operating at 170 K was reported[4]. These results are discussed in terms of different tunnelling rates and V-I characteristics.

Image enhancement is vital device in virtual picture processing that is basically used for higher visible quality. Image fusion attains interest because of its capacity to deliver improved picture as resultant output through fusing more than one spectrums statistics (i.e. crimson, blue, Near Infra Red (NIR) and green) in dependable manner. Line functions visibility is exquisite in blue and crimson bands even as vein functions are discovered in crimson band. The vein structural statistics and partial line statistics are proven through close to infra crimson (NIR) respectively. Multi-spectral imaging is proposed in proposed paintings to build up correct statistics examine to conventional methods. Wavelet remodel is seemed as a success statistical remodel approach in picture fusion procedure however it often suffers from discontinuities for confined wide variety of coefficients and to conquer the discontinuities trouble in powerful manner through featuring curvelet in situ of wavelet for higher fusion performance for the fusion of curved shapes the usage of Curvelet remodel. The simulation effects are as compared with exceptional overall performance measurements for asse

-Plants are very necessary for the earth and for all living organisms. Plants maintain the atmosphere. Plant illness, an impairment of the traditional state of a plant that interrupts or modifies its very important functions. All species of plants, wild and cultivated alike, are subject to illness. These diseases occur totally on leaves, but some might also occur on stems and fruits. Leaf diseases are the foremost common diseases of most plants. Plant pathology is the science study of pathogens and environmental circumstances causing illnesses in crops. Organisms causing transmissible disease include fungi, oomycetes, bacteria, viruses, viroids, etc. The latest technique involves automated classification of diseases from plant leaf images neural networks persecution approach called hunting enhancement of microorganisms primarily focused on executing Neural system relies on planar basic principle. Throughout this article, classic neural network algorithms are used to detect and classify the areas infected with multiple illnesses on the plant leaves in order to increase the velocity and precision of the network. The region's increasing formula will improve the network's potency by searching and grouping seed points with prevalent feature extraction method characteristics. The scheduled methodology achieves greater precision in disease detection and classification.

Knowledge Representation has become the primary requirement for the budding smart world. The process of Representing Knowledge includes capturing data, representing information and retrieving accurate knowledge. It is very much evident that only if the representation model is simple and clear, then the role of capturing and retrieval can be effectively performed. Recently, an urgent need for a more efficient knowledge representation model has increased to cater to modern culture. This research topic focuses on the representation models designed over the century. The main objective of this survey is to summarize the work that has been carried out in the area of knowledge representation models and to discuss a range of approaches and methods for representing knowledge.

A Random Forest Machine Learning Algorithm is integrated with the Flask Web framework for predicting of Heart Disease is proposed. The ensemble learning methods are used for predicting heart disease. The proposed methodology involved integration of the Flask Web framework with the Random Forest machine learning technique to estimate the heart disease stages. Artery Blockage indicates the presence of heart disease. The higher the blockage, higher is the stage of heart disease. Stage 1 and Stage 2 indicate the presence of heart disease whereas Stage 3 and Stage 4 are called chronic heart disease and the risk of a heart attack at any day in such patients is very high. The Data required for the prediction contains parameters such as Age, Sex, Blood Pressure, Sugar levels which are collected from the Kaggle website. Experimental results say that predictions by using the proposed approach are consistently better than those obtained using the other methods.

Amongst the many difficulties that women face in this modern world. Sexual harassment, trafficking and physical abuse are some of the most common crisis faced by women. Thus, it is mandatory to find a solution in order to protect women from becoming victims to such assaults. This paper aims at putting together a device to protect women. The device which resembles a watch, can be worn on the wrist. In case of danger the victim can press the button in the device that will record the image of the assaulter through a Raspberry Pi based camera that is placed in the device. This image is immediately sent as message and mail to a set of pre-stored emergency contacts and the nearby police station through the app already available in the victim’s phone. This particular system will also track the location of the victim and send it as mail or SMS along with the captured image. This device is also provided with a shock circuit which can be used by the victim for self-defence.

In daily life we come to know that in newspapers about many tamil fishermen being caught and put under Sri Lankan custody and even killed. The sea boundary among the countries is not easily recognizable, which is the main reason for this cross border cruelty. Here we have proposed a system using embedded system which safeguards the fishermen by acquainting the country border to them by using RF transmitter and receiver ,Global Positioning System (GPS) and Global system for mobile communication (GSM).To find the receiving signal of the fishing boat or vessel from the RF transmitter (Which located at port), using RF receiver. We can find the current latitude and longitude values and is sent to the microcontroller unit by means of GPS. The Current signal strength can be obtained by comparing the present values with the predefined value by using control unit. Then from the result of the comparison, this system will gives an indication to the fishermen that they are about to reach the nautical border. If the fisherman overlooks the warning or fail to see the instruction display and keep on navigating, and if the boat enters the zone nearer to the restricted zone the alarm will turn on and the engine stops, the alarm will make continues to beep.

The object detection is required to have a stronger protection in the surveillance areas. some of the surveillance systems uses cc cameras to monitor the area .It needs someone to check the output in particular area with-out rest. It is a difficult process for people who have to secure distant areas like fields , homes ,roads, restricted areas which cannot be monitored continuously by a person. object detection using raspberry pi and deep learning with pre-trained model can able to secure the place even without the person. It continuously monitors the area and identifies if any unwanted presence is detected and immediately sends an alert message to the respective device. The setup is fed with a lot of sample images like person, dog ,cat etc .The system checks the unwanted object to the sample images using mobile-net single shot detection by determining the accuracy of common features .Thus it helps to detect the unwanted presence with more accuracy than the previous existing systems.

Passenger safety is the prime concern in modern day vehicles, especially in driverless automobiles. Collision warning and collision avoidance systems are the latest emerging automotive safety technologies that assist the automobiles, especiallsy cars in avoiding accidents. Alarming statistics of accidents and increased number of vehicles on road demands for an intelligent safety mechanism that helps the car in handling a type of immediate precarious situation, specifically a sudden probability of a rear- end collision. Accidents due to rear end collision is one of the major problems encountered in cars, because of the ordinary succeeding vehicle, which is not trained to respond automatically and instantaneously to react to sudden halts and other emergency situations. When a car decelerates or halts suddenly by sensing an , the following vehicle tends to collide at the rear as it does not have the knowledge and capacity to respond to this unexpected situation. This results in serious damage to both the vehicles, posing a very big danger to passengers within the vehicles. The solution to this impending danger can be eliminated by extensively employing different electronic sensors and protocols like CAN(Controller Area Network) .The ARM processor keeps a continuous check on vehicle parameters using MEMS sensor and temperature sensor and gas sensor. The CAN controller on receiving the equivalent results, is used to communicate within the car. This avoids collision between the cars.

Preservation of privacy is greatly important to minimize the disclosure to confidential patient details. Various strategies of privacy preservation are implemented in the digital system, but in the digital world, the security of personal data of the user remains a problem. Here we will see the literature review of to protect the user's medical details, an appropriate privacy protection system is therefore created. The filtering mechanism, The privacy preserved data info storage system, the preserved information is stored within the cloud management system of the cloud setting to render access to the user with higher privacy and utility.

In recent year fire accidents increased rapidly. Firefighting and rescue, is very dangers for firefighters engaged in the field. So robots intended for firefighting have been introduced. However, Robots mobility is limited so it is difficult for them to directly approach fire sources. Here we proposed a solution by designing an autonomous firefighting robot with help of Lidar technology. Lidar can map surrounding environment and create a map of the locality using this pre-map robot can navigate the area by comparing current input from the Lidar. Here each node can be considered as a location point and every building is embedded with number of sensors for fire detection if fire is detected this information is sent to robot. Robot then activates and finds the location by itself and navigate to this location to extinguish fire. The robot-using camera also does fire detection tracking autonomously and water is sprinkled until fire is extinguished.

The examination plays a predominant role in assessing the standard of an education system. Even today most of the examinations are being conducted using paper scripts. This paper is used to control the leakage of question paper[1]. We found that sealing the question paper in the cover is not safe method to prevent the leakage of question paper[2]. We proposed electronic protection for paper leakage using Arduino[3].

Over the past one decade, there is a rapid growth in the development of wireless communication applications. The performance of all such systems completely depends on the design of the antenna. Microstrip antennas are preferred for most of their applications. A low profile microstrip antenna with stable radiation pattern in a relatively wide band is presented for 5G operation. This paper presents a dual band rectangular microstrip patch antenna. This antenna is designed over an operating frequency of 3.48GHz (5G band) and 6.12GHz using the substrate material FR-4 which has a dielectric constant of 4.3. The design antenna can be used for 5G applications such as enhanced Mobile Broadband (eMBB), Massive 00machine type communication (IoT), Ultra reliable low latency communication. The designed antenna has low profile, low cost, easy fabrication and good isolation. The proposed antenna is designed for the purpose of aeronautical radio navigation and mobile satellite communication. The return loss of the proposed antenna is -26.26dB with a good total efficiency of -3.85dB. A prototype of the antenna was fabricated and achieved a good directivity gain of 3.21dBi with a VSWR of 1.1 at the resonant frequency. Experimental validation of technique is carried out and measured results were found to be comparable -with simulated results.

In this paper we design and implement the motor bike with reverse gear system which is helpful for physically challenged person to take reverse their bike from parking without another person help. Here we used "tumbler gear " mechanism for our prototype model the gear usually used to change the direction of gear it consist of two gear which place in parallel by changing their position with motor direction of rotation can be changed but in real time application we need to use ideal gear system with gear box also the bike consist of ultrasonic sensor which work based on echo signals to give alert on taking reverse to avoid collision between other object it consist of "GPS" which help their family to locate their position easily in case of any emergency and no board is used to control all these electronic modules which is pre-programmed to do this operation of ultrasonic and GPS module and relay driver circuit is used to drive the motor in our prototype.

A novel self-pipelining technique is developed in this work. Which includes proper synchronization between the stages for high-speed and low-power multiplication is defined. To accomplish the proposed self-pipelining process, the true and complementary clock inputs are added alternative to each corresponding self-latching step. First was designed a 4-b×4-b self-pipeline Wallace-tree multiplier based on the above idea. The key purpose of our proposed approach is to minimize the amount of transistors relative to the current system such that we build circuits where the complete adder is made of multiplexer depending on XOR that is used in multiplexers. Comparing between the current competitive designs to our proposed design shows that supremacy results.

A series of new 2-Hydroxy benzoic acid (3-Hydroxy benzylidine)-Hydrazide and 2-Hydroxy benzoic acid (3-Hydroxy -4-methoxy benzylidine)-Hydrazide based Schiff base derivatives, have been synthesized. Synthezied Schiff base ligands were screened for anti- oxidant, anti inflammation, and anti diabetic activity. The compounds were screened for their Antioxidant activity was evaluated by DPPH radical scavenging method and compared with standard ascorbic acid. Anti inflammation activity were examined by albumin denatuation and compared with standard aspine. Antidiabetic activity against α-amylase enzyme and compared with standard drug acarbose.

Pollution or contamination plays a major part in dreadful health hazards. Water, the most essential entity for life is being consumed without the knowledge of contaminants. Arsenic (As III) above 10μg/L is regarded to be poisonous to life and causes lung or skin cancer and cardiovascular geotaxis, mutagenic &carcinogenic effects. Contamination of As may not only occurs in under or drinking water but also in sea water which may be a health threat to aquatic lives. Arsenic decontamination need to be strictly adopted upon any form of water purification. A special technique for the determination by express sensing of arsenic ionic level in water was examined on a Smooth or Glassy carbon electrode (GCE) with nano Gold transformation in 0.5 M H2SO4. The nano Gold was setup using a cycling potential continuously ranging from 0.619 to-0.481 V (vs. HAuCl4.3H2O) Chloro Auric Acid in 0.5 M H2SO4 solution. The Gold nano particles are electro- deposited on GCE. The electrode was examined by Differential Pulse Voltammetry (DPV), Anodic Stripping Voltammetry (ASV), Linear Sweep Voltammetry (LSV) and cyclic Voltammetry (CV). After optimization, a LOD (Level Of Detection) of 0.9 parts per billion (ppb) was achieved with a 60s transformation at -0.94 V in 0.5 M H2SO4whereas the WHO’s (World Health Organization) maximum allowable arsenic level is 10 ppb, in drinking water. Mercury Mercurious Sulphate (MMS) was used as standard reference electrode. The developed sensor was evaluated for copper ion interference and was found to have no interfering effect due to ionic copper which is the most potential obstructing ionic species in ionic arsenic determination.

Secure structures are right now shielded from unapproved access by an assortment of gadgets. Despite the fact that there are numerous gadgets to ensure the system wellbeing, for example, PIN entry devices, electronic devices, cryptographic techniques and double control methodology and the individual’s voice are utilized. The ability to confirm the character of a speaker by investigating discourse, or speaker check, is an appealing and moderately subtle method for giving security to entrance into a significant or made sure about spot is questionable. The voice of a particular speaker cannot be taken, lost, overlooked, speculated, or imitated with precision. To alleviate the above limitations, this undertaking depicts structure and prototyping a voice-based intelligent door access security system for the buildings. In the proposed system, the entrance locking system is approved with the help of an enlisted client talking into a mouthpiece attached to the system. Moreover, intelligent system approach is utilized to create an approval process by verifying the individual models dependent on their voice. The proposed method is used to open and close the door using voice command. Voice command will be stored in an easy VR via mic for further processing. If the stored voice is detected door will be opened automatically. Any other voice will be detected that information and displayed in LCD.

The insulators located outdoors are subjected to external environmental factors such as humidity, temperature and pollution. The surface of the insulators may be subjected to high flow of leakage current during wet and polluted conditions. Due to this, a dry band arching occurs and when it extends for a longer duration it may degrade the insulator and ultimately lead to failure of the lines by initiating the insulator flash over. By conducting detailed study of the characteristics of the surface deposition layers contaminating the insulators The phenomenon of occurrence flash over in insulators that are polluted has been done by the study of the characteristics of layers of contamination deposited on the insulator surface in high voltage laboratories. This paper presents the simulation results of the epoxy coating on ceramic insulators. It was discovered that the magnitude of leakage current was significantly suppressed the coating. The flash over voltage is significantly enhanced by this coating. It was evident in the simulation there was a notable improvement of surface resistance of insulator after coating epoxy layer under a wide variety of environmental conditions in comparison with that of uncoated insulators. Overall experimental results indicated significant enhancement of insulator performance by applying epoxy coating. MATLAB Simulink is utilized for simulation studies and result comparison. ANSOFT SV2D Software is utilized for simulation studies and result comparison.

Everyone in today’s world possesses a vehicle to avail a comfortable journey, making most of the chores gratified. As the result of this the number of vehicles on road has increased in a tremendous amount in the last decade. Along with this the number of accidents has also increased thus causing a large amount of death mainly because of rash driving and few other human errors. With the outbreak of large number of death caused by accidents many measures have been taken like limiting the maximum speed of vehicles, restricting the movements of heavy load vehicles during the day and many more. But till today the practice or measures taken on preventing the accidents is given more priority compared to ,the precautions taken to cure a victim who met with an accident. The existing methodologies to treat /support a victim are very few and also are not that reliable .This paper thus proposes a method where in, a person who met with an accident is assured a fast support from the ambulance operating in the nearby location. This is achieved by sending the precise site of the mishap to the already available helpline numbers using recent technologies.

Nowadays robots are incorporated in the job which are often difficult for humans and these robots can be used as an effective alternative for humans.Mobile robots have become a significant topic in the security field Several techniques have been introduced to work with mobile robots and security. Most of these methods are not capable of working in low visibility environments and need to be manually controlled by a person all the time. In this smart security system, a mobile robot acts as an e-patrol in both light and dark environments. The design and implementation of mobile robots consist of three subsystems: The obstacle avoidance,image capturing and alarm indication for theft prevention.By means of which bot can be deployed for surveillance in a defined path with specific intervals.

Power electronics is the process of applying solid-state devices like transistors, Mosfet, diodes etc for controlling and converting electric power. They are used in the fields such as telecommunication, utility systems, facts, residential. Most of the power electronic devices are made up of Silicon semiconductor. Silicon has high breakdown electric field strength and so it can configure to withstand hey more than hey 600 to 1000 volts [4]. Even though there are many benefits in silicon, the increased heat generation decreases the efficiency of the device. It is caused due to switching loss. A new semiconductor called gallium nitride is being used to eradicate the disadvantages of silicon. Gallium nitride has high electron mobility and high saturation electron velocity compared to silicon and so it enables them to function over 250 GHz [1]. Since the semiconductor has wide bandgap, they are not sensitive to heat. Through this project, we can obtain efficiency between Two semiconductors by comparing its switching characteristics in boost converter.

Mankind's history is watching an abnormal time battling an imperceptible foe; the novel COVID-19 coronavirus. At first, I saw in the Wuhan area of China, presently fastly spreading the world over. SARS-CoV-2 is a new virus responsible for an outbreak of respiratory illness known as COVID-19, which has spread to several countries around the world. There is no specific treatment for disease caused by a novel coronavirus. However, many of the symptoms can be treated and therefore, treatment based on the patient's clinical condition. The specific manifestations incorporate fever, hack, weariness, pneumonia, migraine, the runs, hemoptysis, and dyspnea. Preventive estimates, aimed at example, covers, hand cleanliness rehearses, evasion of open contact, case identification, contact following, then isolates remain compelling aimed at diminishing the transmission. Until this point in time, no particular antiviral treatment is demonstrated powerful. Thus, contaminated individuals principally depend on symptomatic treatment and substantial consideration. Even though these investigations had significance towards control an open crisis, more research should be led to give significant & dependable approaches to deal with this sort of general wellbeing crisis in both short-and long haul.

SDA (software defined approach) can offers many cloud computing applications at high level performance. The miniaturization of resource applications can be performed through SDA gives more reliability and scalability. In cloud computing many number of nodes and its data base communicated through entire network. In this context their may be a chance of miss utilization of records, therefore an advanced huge records miniaturization methodology is required. In this research work an advanced electronic medical records miniaturization and analysis tracking system is designed through software defined approach. The unstructured medical records are taken as input and query based real response health records as output. This research work is more useful for medical applications at the time of cloud data base utilization, at final comparing the experimental results with existed methods.

The glycine based single crystals such as glycine zinc sulphate (GZS) and di(glycine) barium chloride (DGBC) was synthesized and single crystals are grown by solution growth technique. The unit cell parameters of grown crystals have been analyzed by single crystal XRD. The optical properties were studied using UV-Vis and photoluminescence spectroscopies. The TG/DTA analyzes were performed and the melting point of the sample was measured. The study of microhardness was measured on a prominent plane to determine mechanical strength using Vicker's hardness test. The NLO properties measurements were carried out using Q-switched Nd: YAG laser.

The tris(thiourea)zinc sulphate (ZTS) and L-histidine doped ZTS (L-HZTS) single crystals were grown by evaporation technique. The unit cell dimensions were defined by single crystal XRD. The FTIR studies validated functional groups involvement and Vickers microhardness test has defined the mechanical properties. The optical and thermal properties were identified by UV-Vis spectrometer and TG/DTA respectively. The SHG efficiency was measured using powder technique.

Our research provides an update vision about the recent development in nanodrug by using eco-friendly and cost-effective silver nanoparticles from A. hypogaea root nodules for the first time. We also characterized these silver nanoparticles from various spectroscopic and microscopic methods. Their stability makes the present method a viable alternative to chemical and physical methods. Because of the least specificity of the reaction parameters, this process can be explored for large-scale synthesis of silver nanoparticles. Antimicrobial activity of silver nanoparticles room sprayer showed promising antimicrobial activity against S. aureus, E.coli and A. niger in the 100 ppm concentration and in future this kind of eco-friendly and cost effective silver nanoparticles room sprayer is needed to control many dread full diseases in the present scenario instead of using commercially available room sprayers. The investigation features a productive method to acquire bionanoaerosol that can be used against pathogenic microorganisms, thus contributing to solve this globally serious concern, especially given their being a limited choice of nanoantibiotic treatment.

Recently, the implementation of Raspberry Pi controlled monitor system performs well defined medical applications for diagnosis of DCM Healthcare. The development of IoT (Internet of Things) is an important application domain in medical field that draws huge interest from industry, research field and public sector. In medical applications, the temperature and humidity data are often major considerations. The main objective of this framework is to give immediate necessary services where cardiac patient can measure body temperature, heart rate in bpm and body position by themselves and promote hygienic environment. The framework is tested for a volunteer to check the body temperature, heart rate and observe the movement of body position and view the ECG graph using Serial Plotter Software on a local server.

Cancer is a disease that is unregulated by cells in the body. Lung nodule is called lung cancer because the disease starts in the lungs. Cancer of the pulmonary system begins in the lungs and may travel to lymph nodes or other body species such as the brain. The lungs can also be impacted by cancer from other bodies. The metastases are named as cancer cells migrate from organ to organ. Lung cancers are normally grouped into two major cell and non-small cell types. In this study we predict a Computer Aided Diagnosis (CAD) for lung cancer prediction using Convolutional Neural Network (CNN) and ML approach

Documents of the ancient time gift several opposition for standalone gesture recognition systems, among them, the division and classification steps. Fastidiously gloss wordings square measure is required to coach a system. In some eventualities, written document square measure solely offered at the subdivision level. During this activity, we have a tendency to demonstrate the way to train the system with few tagged information. We have a tendency to additionally propose a model-based social control theme that considers the variability within the writing scale at the popularity section. We have a tendency to apply this approach to the publically offered browse dataset. Our system achieved the competitor result. Humans have distinctive handwriting designs that prove to be an obstacle for handwriting recognition algorithms. To date, multiple researches are done to acknowledge these totally different handwriting designs, most notable mistreatment the synthetic neural network (ANN) with back propagation algorithms that has additionally been verified to relinquish adequately high accuracies. By mistreatment real time method image capturing, this technique and algorithmic rule will be enforced to use multiple written entry information for faculties and universities, wherever the written information of a regular score sheet from totally different people will be transferred to a computer program.

Paralysis is the inability to move muscles on their own. This is caused as a result of damage in the nervous system therefore the message passing between the brain and the muscles is not proper. Paralysis can be caused due to various reasons like diseases like Parkinsons disease, multiple sclerosis, Guillian Barre Syndrome, stroke, etc. It is also caused by accidents which results in the spinal cord injury or broken necks damaging the nervous system. Our proposed system is to help the paralyzed patient to convey the basic requirements and emergency messages by just moving the finger to display the required message in order for the patient to be motivated as much as possible. It also consists of a buzzer to alert the attender when a message is displayed

Dissemination of handheld systems, binary technologies and branch of communication suppliers and organization structure greatly assists on modes of medium and activities among members everywhere the globe. This Revolution in modes of medium could provide a good chance for those that use supportive systems because of some sorts of incapacity, but it had become a binary severe barrier at an equivalent space-time. Supportive systems provides individuals with dysfunctions is a action gadget to boost their involvement, incorporation, and self-rule, in particular for individuals with dysfunctions that involve additional senses, such as deaf-dumb, that is that the combination of dumb and deaf. Sign Language has become a medium of communication with dumb persons. Gesture dialect are employed by dysfunctions individuals to speak among them however those Gesture dialect vary from country to country as yank signing, Britain signing, Chinese signing etc. The proposed system has supported Indian gesture languages. The challenge here involves many cases:
(i) initial case could be a handicapped person sometimes
doesn’t speak so as a deaf man to listen to him/her;
(ii) second case is once a deaf man speaks another deaf
person cannot hear;
(iii)third case is once a dumb person makes signing a
deaf man cannot understand them.
Thus, this paper presents a study on multi-modal interfaces, problems and issues for establishing communication and interaction between dumb and deaf persons through sign languages and hand gestures using IOT.

Approximately 422 million people across the world have diabetes, particularly in countries where the average income is in the middle and lower end of the economic spectrum. Statistics reveal that every year, about 1.6 million deaths are recorded which can be directly attributed to diabetes. The graph suggests that number of cases as well as the prevalence of diabetes have been steadily incrementing over the past few decades. Through this new implementation of the Bayesian Classifier, raw medical data is analyzed and the risk of diabetes diagnosis based on each patient’s medical information can be calculated. The raw data is converted into class labels and the likelihood of a positive potential diabetes case is derived, as a probability (≤1). This can not only be used by healthcare professionals but also by common users, and can be useful in detecting the risk and preventing it in time without taking any medical tests. This classifier uses very basic information that would be known to each patient or can easily be obtained.

Though literature may be viewed as a document of human experience, yet there are many philosophical implications of it. Philosophy deals with certain very intractable questions related to our life and experience. The analytic tradition of philosophy with its emphasis upon clarity and precision was inspired by science. But there are certain aspects of philosophy which brings it close to literature : its use of rhetoric, metaphors and thought experiments are examples. We find philosophy in literature and also literature in philosophy. There is also a branch of study called philosophy of literature which investigates the nature of literary interpretation and also the presuppositions and foundations of literature. The Platonic view that literature is mere imitation of imitation is unsubstantiated. Here representation goes beyond the particular. The ‘representation’ is here that of the essences, which explains the universal appeal of literature.

Hospitals are considered to be the hub for all the micro-organisms as; all the infected people are treated there. The risk of healthy people acquiring infections and diseases are also very high. Hence, the process of cleaning and sanitizing all the possible things such as syringes, surgical tools and instruments are highly necessary. The sanitizing process includes both physical and chemical ways by utilizing temperature and/or pressure and must be cautiously tested before it is put into use in healthcare settings. This process is done using UV-C light to eradicate the intervention of microbes during operations thus avoiding further infections.

Aquaponics is the eco-friendly system which is used for the production of food by utilizing certain concepts such as aquaculture and hydroponic. These methods ultimately help us to cultivate fish and crops without the vicinity of soil . The growth performance of a fish along with certain leafy vegeta-bles will be tested and the result will be estimated during the recirculation of the system with respect to the temperature and the effective use of the fish excretion. Arduino usually acts as the brain of the system and that being used in aquaponic helps us to receive the information from the sensors and reciprocate as instructions with respect to feedback. Later, actions will be initiated based on the systems actuator. Aq-uaponics is an inexpensive symbiotic cycle between the living organism and the crop. In this system Fish excretion (ammonia) is incorporated into the plant bed which in turn acts as the biofilter and grasps the nitrate that is crucial for vegetation. Then the fresh water is returned to restart the cycle. The Fish is fed with pellets that contains 30% of the crude proteins that enhances almost all the nutrients that are re-quired for efficient plant growth.

The traditional system for detecting the infection has been the manual process of diagnosing the stained slides under a microscope. This manual process might consume more time for producing the results and the availability of medical experts is not always assured. Considering this as the primary concern we proposed a strategy which limits the human error while recognizing the presence of malarial parasite in the blood sample by using Image Processing. Hence by automating the diagnosis process, results can be acquired relatively quicker and more accuracy can be expected. The technologies and techniques to patently extract the required features and efficiently classify the infected samples are surveyed. This paper presents a survey of various approaches to automate the detection and classification of infected and uninfected cells.

Tuberculosis is a contagious syndrome that leads to death Worldwide. In majority of the developing countries, the access to the diagnostic tool and the test usage is relatively poor. Now the recent advancement in the field of Artificial Intelligence may help them to fill this technology gap. Computer Aided Detection and Diagnosis helps in diagnosing the diseases through some clinical symptoms as well as X-ray images of the patients. Nowadays many strategies are formulated to increase the classification accuracy of tuberculosis diagnosis using AI and Deep Learning approaches. Our survey paper, focus to describe the wide AI and deep learning approaches employed in the diagnosis of tuberculosis.

Media transmission link analyzer is created to upgrade the link test strategy decision and test capability simultaneously. The media transmission link analyzer outfits the link network assessment by methods for high and low level firing. By shifting or changing the circuit design, it can test the working of link as indicated by convention. The tester is embraced with a compound socket terminal node, which is appropriate for compound cables with communal lines and the examination output can be accessible simultaneously according to the Probablistic Road Map method (PRM). There are many types of cables for electric power and telecommunication, the interface definition is complex because all each cable differs by the unique physical layer, topology and size of the cable. Usually, people use a multimeter to check the cable fault. In this test analysis, all the leads of the cable should be tested one to one. This method provides various drawback of more testing time, difficult operation procedure and indirect result declaration. So as to improve and normalize the test technique and to advance the test capability, improving the throughput of the links, a simple worked and compact media transmission link analyzer is intended to inspect the status of correspondence interfaces and graphically give the test outcomes simultaneously.

high quality water excellence is essential to human health, social and economic growth, and the ecosystem in the world. However, as population increases and existing environment is getting destroyed ensuring that there are adequate and water supply for everyone is becoming confront. The best tactic to clean highly polluted and noxious industrial waste water by handling them at the industry itself and sometimes by executing on-site treatment within the production lines with recycling of treated seepage. The project develops a system that monitors the industrial waste water conditions through a system of devices which collects the data in real time such as, COD parameters like pH level of water, TDS level of water and flow of water etc. and transfers it through a Wired Sensor Network or through a LAN to the care taker for analysis with the help of a mail alert. The process combines embedded system hardware techniques that are for online monitoring industrial waste water and send this information to company web site or to any control authority for remedial measures through MAIL alert.

Crops suffering from various diseases can be a big turndown for crop yield. This can affect effective crop production, if left unnoticed. Hence, it is extremely important to examine the plant diseases in its initial stages so that felicitous actions can be taken by the farmers at the nick of time, to avoid further losses. It focuses on the method which is based on image processing way for identification of diseases of leaf in a plant .so let’s introduce a system which uses convolutional neural networks that helps farmers to identify any possible plant disease by loading a leaf image in to the system. The system consists of a collection of algorithms which identifies the type of disease with which the leaf is affected by a disease. Input image given by the user goes through many pre-processing steps to identify the disease and results are returned back to the user on a user interface.

The philosophy of 'karma' is a doctrine considered to be the foundation stone of the entire Indian Philosophical outlook. The concept of karma is common to almost all traditional as well as contemporary Indian philosophical and religious systems. It is accepted as the dominating force throughout all the ages. Though the inquiry into the nature of karma and its significance takes us back to the Vedas in Indian philosophical tradition it is still a vibrating problem in philosophy. It has not only academic value but a clear understanding of karma has a perennial impact on life and existence even today. The Bhagavad Gita is the most beloved scripture of Indian thought and one of the prime chapters of this scripture is the 'law of karma'. According to it every man profits what he does and suffers what he does. Good deeds must bear the fruits of happiness and good fortune whereas evil deeds must bear the fruits of sorrow, misery, and ill-fortune. Good and evil thoughts, feelings, and actions have their corresponding results but the action is the greater part of life. The Gita said that the nature of karma was natural, inherent in man's existence and everybody has to work. As work is inevitable in one's life, one should work without seeking the result and the work without attachment to fruit will lead him to the highest attainment of God's consciousness. So, no one can remain unoccupied even for a moment. Bal Gangadhar Tilak is a great exponent of the philosophy of karma in Contemporary Indian thought. The most religious percept of Bhagavad Gita was a characteristic feature of Tilak's teaching. Tilak holds that the role of the philosophy of karma, as expounded in the Gita is pivotal in Indian thought through the ages. Tilak gives a new interpretation of the law of karma. He defined the philosophy of karma in terms of karma-yoga and it is well described by Tilak in his work entitled "Gita –Rahashya" or the "Karma-yoga-sastra". Hence an attempt is made here to discuss the law of karma as considered by the "Bhagavad Gita" and the "Gita-Rahashya".

Audio Bone is an advancement in listening technology that enables to hear even though the ear drum is damaged. The main aim of this project is to implement the hearing aid using bone conduction technology. The conduction device (headphones) performs the role of eardrums in bone conduction listening. The device decrypts sound wave and converts it into vibrations, thus excludes the eardrums and bypasses directly to the Cochlea. The vibrations through the bones of skull and skin, reaches the ear as sound.

The objective of the economic load dispatch (ELD) problem is to fulfill the requirement of the load by minimum cost using efficient algorithm. Optimization design strategy is better way to solve the problem with more efficiency. In this paper Butterfly optimization technique has been introduce to find efficient solution That emulates nourishment hunt and mating conduct of butteries. Butterflies uses their sense of smell to locate honeydew target or mating partner. The propose solution is contrasted with PSO and genetic algorithm to analyze performance.

During the process of discovering route in MANET, path request broadcast and path response packets
are the necessary operations to locate the consistent route from the cradle point or node to the end node.
In these situations, intermediate node which may or may not belong to the route discovery process will
also update the route table and re-broadcast the route discovery packets to its neighboring nodes. Finally
the best possible path is found which has a minimum of hopping to reach the destination. This will
increase overhead and worsens routing performance in turn. The proposed Enhanced Petal Ant Routing
(The EPR) algorithm offers low overhead by optimizing FANT and BANT transmissions in the route
discovery process. This is a improvement from SARA and has features taken from petal routing. The
algorithm is simulated on NS2, against the ACO framework called SARA and classic routing protocols
such as AOMDV and AODV. The simulation results shows that EPR further reduces overhead by
eliminating redundant forwarding FANT compared to other routing algorithms.

Heart disease is one of the most huge sickness disease in the world. Expectation of cardiovascular sickness is a major test in the clinical information investigation. Machine learning (ML) is utilized in settling on choices and forecasts from the enormous amount of information created by the human services industry. Different investigations offer coronary illness with ML methods. This paper is target discovering highlights by applying ML strategies for improving the accuracy level in heart disease. Various techniques have been presented to predict the heart disease. We produce the presentation level of about 88.7% through the forecast model for heart disease with the hybrid random forest techniques

In this competitive era, getting right education and right job is always a challenge. Organization who are in need of skilled people in certain departments also find it difficult to identify right candidate with good talented skill set. In the proposed system, we propose 2 logins namely job seeker and employer. The proposed system tries to make the recruitment process simpler and efficient by integrating text mining and natural language processing techniques. The proposed architecture consists of unique and essential features like study materials, de-duplication process, resume analysis and weightage analysis. The employer can upload study materials while posting the job requirement so that the job seeker will have a fair knowledge of the exact job role. The recommendation of exact profile based on the skill required is processed using collaborative filtering algorithm. To optimize the cloud storage we have integrated de-duplication technique to eliminate saving same resume n number of times which would increase encryption cost and storage. The de-duplicaton process is performed using Proactive Replica Checking approach (PRCR). Also applying natural processing techniques in both job seeker and employer side provides efficient results saving much of time. In the employer side, we use web crawler to extract job description and requirements. In the job seeker side, once the resume is posted, stop word filtering and text segmentation is performed. After text segmentation, the scoring is provide based on the education, work experience, skills, personality traits and frequency of degree. Finally our proposed system provides a recommendation system for the upcoming generation in which degree of education major job requirements are coming.

Energy consumed nowadays plays significant role and the demand of energy is getting increased depending on the growth of population and industrial revolution. The operational energy sources are not sufficient for the energy needed. Induction motors takes a wide range of industrial applications, including compressors, pumps, conveyors, winders, mills, fans, transports, cranes, home appliances, office equipment’s, steel and paper industries and etc and consumes more electrical energy. In the total consumption of energy, motors consume 70%. Hence, in order to conserve energy the motors should be operated very efficiently. To measure the efficiency of motor on-line method helps in identifying the motors for replacement, checks the efficiency after rewinding, operating the motor nearer its good efficiency point etc., Monitoring and controlling of the motor operation is important when in view of considering the operating performance of the motor, selection of drive used and replacement of electrical machines in proper strategy. In this paper the main objective is to develop the user friendly interface to monitor the efficiency of the motor through online using web server which will provide the on-the- go-access for the users.

Lethargy driving is among the primary reason for street mishaps and passing always. along these lines, driver's sleepiness discovery and its sign is a functioning examination zone.

Parkinson’s disease is a dynamic neurodegenerative disorder influencing over 6 million people
worldwide. However there is no recognized test for PD for patients, particularly in the early stages. This
results in increased mortality rate. Thus detection system of Parkinson’s disease with easy steps and
feasible one to detect parkinson’s disease at the early stage is essential. The proposed system invokes
parkinson’s disease detection using voice and spiral drawing dataset. The patients voice dataset is
analyzed using RStudio with kmeans clustering and decision tree based machine learning techniques.
The patients spiral drawing is analyzed using python. From these drawings principal component analysis
(PCA) algorithm for feature extraction from the spiral drawings. From the spiral drawings : X ; Y; Z;
Pressure; Grip Angle; Timestamp; Test ID values are been extracted. The extracted values are been
matched with the trained database using machine learning technique (Support vector machine) and
results are produced. Thus our experimental results will show early detection of disease which facilitates
clinical monitoring of elderly people and increase their life span by improving their lifestyle which leads
to a peaceful life.

In this article, A Multi-Input Multi-Output system is mathematically modelled using energy balancing differential equations. To model a MIMO system, specifications are very important. The data samples of MIMO are collected from a shell and tube heat exchanger hardware setup. The real time data samples collected are substituted in the predefined differential equation to create a Shell and Tube heat exchanger model. The model output would result as the output obtained from a shell and tube heat exchanger hardware setup. Since shell and tube heat exchanger modelled has two inputs and two outputs, system model is also a TITO system. The System identification method was employed for TITO system modelled to obtain the linear model as the output was highy nonlinear and its transfer function model was determined that had process interaction. The interaction in process doesn‘t allow the system to attain its steady state value faster. Classical controllers were employed for the process to attain steady state faster but the results were not satisfactory. So, Model Predictive controller was used for the designed system to obtain the output responses faster to the desired value by minimizing the error drastically. The nonlinear model response, linearized model response, open loop response and closed loop response with MPC for the designed system were compared and analyzed.

In this paper, efficient production of ethanol from corn by using fermentation process is discussed. A mathematical model is developed for the above-mentioned process and the challenges in adjusting the specific growth rate(μmax) has been addressed. Also, the rate or velocity of growth of the microbial cells which is the key affecting factor of the substrate concentration is adjusted for optimum results. On successful design of the mathematical model, the concentration of ethanol is controlled by using four different controllers out of which one suitable controller is considered as the ideal controller for the production of ethanol from corn

Parkinson tremor (PT) could be a nervous breakdown totally different in several in numerous elements and on different sides of the body. 2 fellow of shudder include: trembling - arbitrary carriage, such as holding a goblet to the aperture, and bodily trembling - voluntarily holding support against gravity, for example, reaching or stretching a hand or hand. The majority with Parkinson tremor expertise each bodily property and action tremor. It reduces the power to manoeuvre. Paralysis agitans has no recognizable cause furthermore as cure. To a particular extent, medication might increase the life of a private. In analysing the matter in the slightest degree aspects, this ideology might improvise the condition of individuals affected with Parkinson’s illness. During this project one side of the illness that is tremor hand is taken into thought. So, the aim of this project is to design a helpful device for older age individuals full of Parkinson disorder which might be ready to nullify the tremor created within the hand with most proportion of potency and ergonomically designed for straightforward use. It sends an alarm to the nearest relative whose contact is synced with device just in case of emergency. The alarm choice functions to facilitate full care to the person as individuals affected with such illness cannot stand up on their own.

In the technological advances in financial infrastructure, most bank customers prefer to use Automatic Teller Machines (ATM) for carrying out their banking transactions. To improve the security of these transactions, a new generation ATM machine which is based on face recognition system which replaces ATM card with RFID tag. In this, high quality image has important role in recognition process. Face image is used for authentication purpose. Firstly, the face image of particular person is compared with the database image. Then the compared output result is sent to the control unit through serial communication. If an unauthorized person is identified, an alert message is sent to the corresponding user. Thus, an ATM model which provides security by using Facial verification software by adding up facial recognition systems can reduce forced transactions to a great extent and provide hard-secure authentication. Here Raspberry Pi microcontroller is used in the controlling part

Convolution neural network is basically an algorithm which is used to train a model to perform a specific task, which is inspired by the working of the human brain. Nowadays, its being extensively used in various applications. Its implementation over the FPGA board not only reduces the development time, but also increases the programmability. In this paper, Fast Convolution unit is described, which are based on parallel fast finite impulse response algorithm (FFA). This paper also includes the derivation of the algorithm.

Due to the quick headway of remote advancements, remote body region systems (WBANs)
have gotten broad consideration from the general population as of late. IoT-based WBANs are intended
to give life support significantly by observing the essential body boundaries and the general situations of
human bodies. These sensors gather the constant natural data, for example, circulatory strain, pulse and
beat of a patient and afterward send the data through cell phones, for example, an information sink to a
distant clinical worker. In light of the got data, the specialists and other clinical specialists can give
appropriate diagnostics to the patients. They are utilized to give appropriate and opportune clinical
diagnostics and invited method for electronic social insurance frameworks.

Smart cities, speeding vehicles and human losses due to accidents are also emerging with the same pace as that of technological advancements. The proposed system of advanced Inter vehicle communication explores techniques of cognitive radio concepts. We analyze the nature and specifications of inter communicating vehicles and acquire the moving data from them. Later, a link distance evaluator is introduced for determining the number of vehicle from transmitting device and receiving device. As the essential component, frequency spectrum is limited; it results in the need of optimized systems to access the spectrum called cognitive radio. In order to transmit exact data among vehicles without noise and any inference, a unique address identification methodology is assigned for efficient communication from one vehicle to the other vehicle is proposed in this system.

Digital systems performance is often governed by performance of flip flops and timing elements. Several Sense Amplifier based Flip Flops (SAFF) are reported in literature but they suffer with current contention and glitches. To overcome this, glitch free circuit is designed for Strollo’s SAFF. This improved design has been successfully employed in four bit Linear Feedback Shift Register (LFSR). Further, these are implemented using 45nm technology. Simulation results validate the superiority of the proposed design to existing SAFFs in terms of average power consumption. Asynchronous single pulse is applied to the Strollo’s SAFF with glitch free, resulting in a change in one output of four-bit LFSR. This is considered as a fault or test vector. The single stuck-at-fault method is used to correct the detected fault in the designed four-bit LFSR at the other end. This implementation is helpful in developing data protection circuits. 

FIFOs are frequently used to securely pass information starting with one clock space then onto the next offbeat clock area. Utilizing a FIFO to pass information starting with one clock area then onto the next clock space requires multi-nonconcurrent clock plan methods. There are numerous approaches to plan a FIFO wrong. There are numerous approaches to structure a FIFO right yet at the same t ime make it hard to appropriately combine and break down the plan. This paper will detail one strategy that is utilized to configuration, integrate and examine a protected FIFO between various clock spaces utilizing Gray code pointers that are synchronized into an alternate clock area before testing for "FIFO full" or "FIFO vacant" conditions. The completely coded, incorporated and investigated RTL Verilog model is incorporated

In the current's world the important factor is the nation's security. One of the essential and crucial parts is showed by the army soldiers. There are many considerations concerning the security of the soldiers. So Soldiers security purpose, more devices are set up on them to observe Soldiers health condition as well as their actual time position. This report provides ability to track the position and observes health condition of the soldiers in present time who become lost and get damaged in the battleground. It serves to reduce the time, search and recovery operation efforts of army control system. Bio-sensor systems provide various kinds of small-cost physiological sensors, communication factors and facilities and thus can provide unobtrusive, cheap wearable solutions for health monitoring. For patient health monitoring systems we use the wireless body area networks (WBAN) is a such system that implements the regular control over or inside the human body for the long time and it supports the transmission real time traffic such as the data, voice, video to look at the status of the basic organs functions. For the soldiers health monitoring k-means clustering algorithms and hierarchical clustering algorithms are used. K-means clustering method and hierarchical clustering methods is the one of the methods of the machine learning. The gathered data will be uploaded on the cloud for the analysis of the data and the estimates. By using the K-means clustering method and the hierarchical clustering algorithm.

Full adder is an essential component to design different digital systems and it is used in wide applications like microprocessor and microcontroller and also digital signal processors. There is a high command in electronic devices and circuits, and then it requires low power and high speed. Here, the present paper illustrates the significance of power, delay and a transistor count. The investigation and outline of 8TMGDI full adder style is observed. This full adder is maintaining some low power complexity. The presentation and application of the modified gate diffusion full adder are compared to other full adders like CMOS and GDI. The simulation results of the 8T modified gate diffusion full adder shown better power and delay values, when compared to the other full adders. This paper gives the best results in the low power technology. In 45nm Technology virtuoso tool, the proposed full adder is designed and compared.

The software-defined network are vulnerable to malicious attacks, thus enhancing SDN based policies for the controllers to prevent vulnerability, malicious scripts is an hot research area. Thus improvising SDN policies can protect data owner confidentiality and trust. Thus in the existing system, security plays an important role and it’s a major concern during cloud migration. In the proposed system, we propose malicious packet detection algorithm to detect polluted files or malicious script during file transmission at the normal disk reading operations. If pollution attack is detected, the malicious IP is blocked and the file won’t be processed for further processing. In the proposed system, the pollution attack is prevented using hashing function, thus at the receiver end the hash value appended along with the file during transmission end is matched, if there is any difference the file is not allowed for further processing. Also the proposed system invokes creation of convincing file to protect data owner privacy by the cloud service providers from the government authorities.

Smart grids comprises of PV cell array, wind mills and power generators. Due to the nature of renewable sources such as sun and wind the output of such generators cannot be completely relied on. Furthermore, the fluctuating output sources results in total harmonic distortion in smart grid. Harmonics induce in the smart grid at different levels such as at transmission and distribution system and at load side. The harmonics in the grid eliminated with harmonic filters. In this paper, a harmonic filter design and connect at load side to analyse power quality. The smart grid, transmission & distribution system, harmonic filter and load design in simulink and the effect of harmonic filters are analysed.

This system allows people to vote electronically in public elections with security system using Block chain technology.Progressively the application of scientific knowledge for the practical purpose within the idea helps many folks live. This methodology set out an Associate in legal organization for native election on blockchain knowledge dealing with applied sciences and Aadhar affirmation. The fact of being free from threat and dispositive may be a danger from extensive election with this prevailing methodology. A number of issues that may persist within the prevailing methodology are with a corporation, that has management over the information. It can be done to meddle with the information for a good time. The projected methodology is principally designed for our native supported Aadhar affirmation. To make sure a lot of security, fingerprint of elector is employed. A Single system will act as registering module and voting module. The system will act as registering module on activating switch by the super admin. For registering module, the QR code of Aadhar is scanned (which is brought by the use) followed by the fingerprint verification. The system permits the elector to vote through his fingerprint when they cast their vote, block chain technology comes into existence that is integrated within the machine. Each vote is added into each block encrypted by 256-bit SHA hash codes, the hashed block cannot be tampered by any individual as more security is added to the system. By adopting Blockchain within the distribution of information will scale back one in every of the cheating sources of database manipulation.

The goal of the present project is to model an object detector to detect objects for visually impaired people and other commercial purposes by recognizing the objects at a particular distance. Available old techniques for object detection needed large training data it takes more time and its quite complicated and it’s a difficult task. Hence, in this paper, we propose computer vision concept to convert object to text by importing the pre trained dataset model from the caffemodel framework and the texts are further converted into speech. This system supports multiple object detections on a single screen, that is it helps in real time object detection. This paper involves the idea and methodology and system architecture to implement the system along with the obtained intermediate results and performance analysis of the tools used in the proposed system. This system can further be implemented in any portable devices for the visually impaired people to detect objects at a particular distance from them.

This paper proposed about the recognition of blood veins in the retina, thereby diagnosing any abnormality in the retina. Optic blood vessels calculation is mostly owned in therapeutic analysis in many causes like arteriosclerosis, diabetes mellitus ,hypertension, stroke and heart problems. Due to the very great capability of the curvelet transform in place of ridges, reform of curve let transform factors will increase the optic fundus image ridges improved makes the picture for dissection part. Fast discrete curvelet transform via wrapping technique is used. The direction of a multistructure features technique makes is used for edge detection. Therefore, morphology operatives using multistructure features are useful locally for improved picture to do invention in the optic fundus image edges. Therefore, operatives by restoration will remove the edges which is not belonging of vein though making to reserve the tinny vein unaltered. Instruction for improve effectiveness of operatives through re-establishment, these are useful by multistructure features to use CCA more powerful, it is useful and length filtering as an alternative of considering the full image. The algorithm is applied to the retinal images got from a publicly accessible data base called drive database. Comparing to the previous techniques, the proposed technique achieves greater accuracy and so the blood veins will be more efficiently detected.