Online ISSN: 2515-8260

Keywords : Low Power

Designing and Development of a Low Power Electronic vending machine using PIC 16F877A controller

Manish Kumar; Vinay Kumar Deolia

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 499-505

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

The performance analysis of high-efficiency and low-power architecture for fuzzily-based image fusion has been carried out in this paper

H.Devanna, K. Sudhakaru

European Journal of Molecular & Clinical Medicine, 2017, Volume 4, Issue 1, Pages 190-200

When it comes to image fusion, the wavelet transform is the most generally used method. It combines the information included in the source photos' information in the wavelet domain according to a set of fusion rules, and it is the most widely used method. It is, however, difficult to develop a fair fusion rule because of the uncertainty in the contributions of the source images to the fused image.The capacity to include as much information as possible into the fused image becomes the most difficult problem. ThisWhen developing an image fusion algorithm in this study, the wavelet transform and fuzzy reasoning were applied to aid in the process. In this case, the corners are rounded.The source photographs are identified via the application of a set of fuzzy criteria that are applied to each image. This paper describes in detail the hardware architecture used for fuzzy-based photo put forth as a possible solution. Using the recommended hardware design, resource usage may be reduced, making it especially well suited for low-end computer systems.applications that need a large amount of power There are just two line memory buffers in the design, and they each have a limited amount of computing capability.It minimises complexity, resulting in cheaper hardware costs, and it is suited for a broad variety of real-time applications, including gaming and medical applications. TheIt is estimated that the hardware design will use 4179 gates and will demand a total of 203.27 milliwatts of power.