Online ISSN: 2515-8260

Author : Basha, S. Mahaboob

Aperture Coupled Technique Using Triangular Shape Patch Antenna for Integration into Different Wearable Textile Substrates

V. Ramkumar; S. Mahaboob Basha; T. Suresh; A. Iyswariya; K. Jeevitha; V.Praveen kumar

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 1361-1369

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


K. Jeevitha; A. Iyswariya; V. RamKumar; S. Mahaboob Basha; V. Praveen Kumar

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 1342-1348

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

Automatic Monitoring And Updation of Vehicular Data Base To Regularize Traffic & Avoid Vehicle Theft By Using RF& IoT Technology

S. Mahaboob Basha; V. Bhuvanewari; Arun .; S. Yuvaraj; R. Pavaiyarkarasi; J. Navin Sankar

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 2176-2183

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).

Implementation of Brain Controlled Robotic Car to Assist Paralytic and physically Challenged People by Analyzing EEG Signals

S. Mahaboob Basha; Gayathri. R; Anjana. J; Joy Sharon. J; R. Pavaiyarkarasi; J. Navin Sankar

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 2191-2199

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.