https://ojs.trp.org.in/index.php/ajes/issue/feedAsian Journal of Electrical Sciences2023-03-09T04:28:14+00:00Dr.K.S.Shivrajeditor@trp.org.inOpen Journal Systems<p>Asian Journal of Electrical Sciences is a half-yearly, peer-reviewed scholarly journal in the field of electrical engineering and electronics that aims to publish the most complete and reliable source of information on the discoveries and current developments in the mode of research articles, review articles, case reports, short communications, etc.</p>https://ojs.trp.org.in/index.php/ajes/article/view/3361Smart Communication Interpreter for Mute and Deaf People2022-10-26T04:34:10+00:00Samiya Majid Babasamiyababa165@gmail.comIndu Balairana80@gmail.com<p>As a consequence of birth anomalies and accidents, the number of hearing impaired and speech challenged sufferers has increased dramatically in recent years. When a deaf-dumb person speaks to a normal person, the normal person struggles to understand and demands that the deaf-dumb person display gestures to meet his or her needs. Dumb individuals speak to us in their own language. The only need is that we need to understand their language. Sign language is a communication capacity used by deaf and dumb people that uses hand signs, orientations, and movement of the hands, arms, or body, as well as facial expressions, to transmit the thoughts of a speaker fluently. However, most people struggle to understand this sign language. People who are unable to speak or have lost their ability to speak as a result of an injury find it difficult to transmit their message in society. We created an electronic speaking glove for this project. Dumb individuals may easily converse with normal people by merely wearing the glove. The system’s circuitry translates some activities, such as receiving a speech for each chosen button, making it easier for deaf/dumb people to converse with normal people. In this system, an LCD display is also employed; normal people’s voice is detected word by word and shown as text on the LCD display, making it easier for normal people to converse with deaf/mute people. As a result, this initiative will assist to bridge the communication gap between mute, deaf, and hearing persons.</p>2022-11-12T00:00:00+00:00Copyright (c) 2022 Asian Journal of Electrical Scienceshttps://ojs.trp.org.in/index.php/ajes/article/view/3363Observer Based Single-Phase Active Current Harmonic Filter for Distributed Industrial Loads2022-10-27T04:20:24+00:00Hanuman Patelhanumanpatel11@gmail.comSanjay Kumar Mathurskmathur.dr@gmail.comVikram Singh Rajpurohiter.vikramsrajpurohit@gmail.com<p>Harmonic currents are introduced into power system as use of nonlinear electrical loads increases. Extra losses are caused by harmonic current stream into effective supply lines. A dynamic power filter engenders harmonic compensating current using a switching inverter. Single-phase current into the harmonic filter connects in parallel to load end and inject current harmonic required by the load feeder to avoid harmonic current in the direction of power system. This report discusses harmonic problem, available harmonic mitigation techniques, basic design of filter, control strategy, design steps of major hardware blocks, modelling and simulation of current harmonic filter in MATLAB SIMULINK setting, component selection, hardware implementation and final results. This filter will eliminate harmonic up to 45th order. The control circuit consists of a peak filter, all-pass filter, low pass filter and adders which are used to produce error signal by comparing harmonic current demand of load and injected harmonic current through switching inductor.</p>2022-11-12T00:00:00+00:00Copyright (c) 2022 Asian Journal of Electrical Scienceshttps://ojs.trp.org.in/index.php/ajes/article/view/3389Design and Analysis of C Band Bracelet Shaped Wearable DRA with Low SAR2022-11-23T09:30:17+00:00Sukla Basusbasu1996@gmail.com<p>A Bracelet shaped wearable Dielectric Resonator Antenna (DRA) is designed and analyzed in this paper. The proposed DRA is made of Bakelite and is capable of operating efficiently in the vicinity of four different frequencies (5.9 GHz, 6.5 GHz 7.1 GHz, 7.6 GHz) in C Band. A performance characteristic of the Bracelet DRA is investigated with the help of a model of human wrist wearing the Bracelet DRA. The DRA worn on human wrist model gives directivity ranging from 7.4dBi to 8.3dBi at different operating frequencies. Radiation efficiency up to 82.1% at 5.9 GHz is obtained. Maximum Specific Absorption Rate (SAR) obtained is 1.15 W/Kg which is within the safe level of 1.6 W/kg set by the Federal Communications Commission (FCC), United States. Simulation of the designed DRA is done using CST Microwave Studio Software. Comparable or better performance characteristics of the proposed DRA is obtained than those of several C band wearable antenna structures reported in recent literature.</p>2022-11-30T00:00:00+00:00Copyright (c) 2022 Asian Journal of Electrical Scienceshttps://ojs.trp.org.in/index.php/ajes/article/view/3524Design of Accuracy Based Fixed-Width Booth Multipliers Using Data Scaling Technology2023-03-07T11:08:48+00:00P. Nandha Kumarnandha.revlsi@gmail.com<p>Multipliers are the basic building blocks in various digital signal processing applications such as convolution, correlation, and filters. However, conventional array multipliers, vedic multipliers were resulted in higher area, power, delay consumptions. Therefore, this work is focused on design and implementation of variable width Radix-4 booth multiplier using Data Scaling Technology (DST). The radix-4 modified booth encoding was used in the production of these incomplete items. In accumulation, the bits of the fractional products are added in a parallel manner with decreased stages using a multi-stage carry propagation adder (MSCPA). The simulation demonstrated that the suggested DST-Radix-4 booth multiplier (DST-R4BM) resulted in higher performance in comparison to traditional multiplies in terms of area, delay, and power.</p>2022-12-15T00:00:00+00:00Copyright (c) 2022 Asian Journal of Electrical Scienceshttps://ojs.trp.org.in/index.php/ajes/article/view/3528A Review of the Research to Detect Diabetic Retinopathy Using Deep Learning2023-03-09T04:28:14+00:00J. Pradeeppradeep@smvec.ac.inN. Erick Jefferypradeep@smvec.ac.in<p>Diabetes, a most prevalent disease that affects peoples of all ages and is caused by inadequate insulin production, which raises blood sugar levels. Several diseases can develop throughout the body if treatable conditions are not addressed. Diabetes causes diabetic retinopathy (DR), an asymptomatic eye condition which affects retinal blood vessels. In this paper, numerous automated diagnosis systems have been created using Deep Learning technique. Deep Learning (DL) performs autonomous feature extraction, which enables it to produce more accurate and promising results, particularly for medical data. The most often used deep learning methods for processing medical image data are convolutional neural networks (CNN). This research analyses and discusses several Deep Learning-based Convolutional Neural Network, Support Vector Machine (SVM) models for diagnosing and classifying diabetic retinopathy with further literature reviews and classification in order to acquire a better knowledge of the condition.</p>2022-12-15T00:00:00+00:00Copyright (c) 2022 Asian Journal of Electrical Sciences