Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

In this article, we present a high-performance SiGe junctionless FinFET (JLFinFET) on insulator by selective growth of buried oxide (SELBOX) layer device with better electrostatics. The mole fraction x = 0.1, 0.2, 0.3, 0.4, 0.5, and 0.7 with fin width 10 nm and gate length of 20 nm are considered for simulation using technology computer aided design (TCAD) Sentaurus device. With Si0.9Ge0.1 JLFinFET on insulator by SELBOX layer, nearly an ideal subthreshold swing of 61.51 mV/decade and enhanced on-current, off-current has been achieved. Evaluation of on-off current ratio, DIBL, SS for different parameters, such as doping concentration (1015-1019/cm3), channel length (10-40 nm), temperature (200-700°K) on JLJFinFET on insulator by SELBOX layer are presented. Three-dimensional device simulation using the TCAD software tool Sentaurus Device is used to simulate and the results are compared with a SELBOX JLFinFET. © 2020 Wiley Periodicals LLC.

Department of Instrumentation

School of Electrical Engineering

Vellore Campus

World University root node

Computational Intelligence

Simulation based study on parameter variation of Si0.9Ge0.1 junction-less SELBOX FinFET for high-performance application

This article gives an algorithm for the calculation of frequency using the morphological prediction of Clarke components (MPCC) given by αβ-transformation. It uses four operators’ dilation, erosion, opening and closing for different types of frequency varying conditions. It also presents the comparison of two algorithms, MPCC and PLL, in real time signal by creating a grid in MATLAB Simulink. The algorithms were tested with two types of faults, symmetrical and unsymmetrical faults, at the same time the later algorithms will be compared with two types of loads such as linear and non-linear loads. These demonstrations show us, how accurate the MPCC is when compared to PLL in estimating frequency. © 2019 SERSC.

Department of Electrical Engineering

International Journal of Advanced Science and Technology

Accurate frequency tracking using morphological predication of clarke components

Retinal Vessel detection for retinal images play crucial role in medical field for proper diagnosis and treatment of various diseases like diabetic retinopathy, hypertensive retinopathy etc. This paper deals with image processing techniques for automatic analysis of blood vessel detection of fundus retinal image using MATLAB tool. This approach uses intensity information and local phase based enhancement filter techniques and morphological operators to provide better accuracy.Objective: The effect of diabetes on the eye is called Diabetic Retinopathy. At the early stages of the disease, blood vessels in the retina become weakened and leak, forming small hemorrhages. As the disease progress, blood vessels may block, and sometimes leads to permanent vision loss. To help Clinicians in diagnosis of diabetic retinopathy in retinal images with an early detection of abnormalities with automated tools.Methods: Fundus photography is an imaging technology used to capture retinal images in diabetic patient through fundus camera. Adaptive Thresholding is used as pre-processing techniques to increase the contrast, and filters are applied to enhance the image quality. Morphological processing is used to detect the shape of blood vessels as they are nonlinear in nature.Results: Image features like, Mean and Standard deviation and entropy, for textural analysis of image with Gray Level Co-occurrence Matrix features like contrast and Energy are calculated for detected vessels.Conclusion: In diabetic patients eyes are affected severely compared to other organs. Early detection of vessel structure in retinal images with computer assisted tools may assist Clinicians for proper diagnosis and pathology.

VIT Unitversity

Fulltext

International Journal of Engineering & Technology

Retinal vessel feature extraction from fundus image using image processing techniques

In recent times, power line communication (PLC) has an ability of communicating the signals and messages making use of the existing power lines without going for new mediums such as optical fibers or radio waves. Considering the voltage, electrical networks are rated as low (1 kV), medium (1–100 kV), and high (&gt;100 kV) networks and the communication problems in these networks increase with increase in voltage. In order to establish high-speed data communications with data rates in the range of megabit/s over power line networks, dedicated communication systems considering the hostile channel properties are required. In addition to signal distortion, losses in cables and multipath propagation, noise from the system also plays a key role to alter the digital communication over power line networks which is dealt in this project. In this work, the signals are obtained with less bit error rate (BER) using Rayleigh fading channel improving the efficiency of the whole system. Different modulation techniques are compared in narrowband power line communication (PLC) systems, and some suggestions are made for the improvement of data transmission in narrowband systems. The best compromise for single-carrier PLC modules between efficiency and architecture complexity is being investigated in this project. © 2018, Springer Nature Singapore Pte Ltd.

Advances in Systems, Control and Automation Lecture Notes in Electrical Engineering

Spectral Analysis and Comparison of Single-Carrier PLC Modules in Narrowband Power Line Communication System

This paper presents a novel technique for recognizing the gestures as well as symbols made by hand via humancomputer interaction. The main objective is to explore the power of image processing techniques of MATLAB to recognize the gestures made by a human hand. The image of the gesture of hand is captured and processes through stages like image processing, gesture extraction and identification. The first stage extracts the image of hand and separates it from the background. In the next step, the gesture is processed and other noises are filtered and in the third step the gesture is matched with the set of data which is predefined and stored in the database. After the hand gestures are processed and recognized using various techniques and functions, the command that the gesture represents is send to the Arduino based bot which moves accordingly. In addition to the left, right, move and stop commands, the Arduino bot is capable of recognizing the obstacles that comes in the way or come very near to the bot. If the obstacle is detected, the Arduino bot stops moving even if the command is given to it in order to avoid accidents. © 2006-2016 Asian Research Publishing Network (ARPN).