Avinash N J

@department-of-electronics-and-communication-engineering.newhorizoncollegeofengineering.in

Assistant Professor
new horizon college of engineering



              

https://researchid.co/avisuperstar

EDUCATION

M.Tech

RESEARCH, TEACHING, or OTHER INTERESTS

Electrical and Electronic Engineering, Engineering, Multidisciplinary, General Mathematics

13

Scopus Publications

40

Scholar Citations

4

Scholar h-index

1

Scholar i10-index

Scopus Publications

  • Design and Analysis of Efficient IoT-Based Pollution Monitoring System in Urban Area
    M. Dhivya, N. J. Avinash, P. Bhoomika, K. S. Shanika, Trisha Chatterjee, and V. Preethisree

    Springer Nature Singapore

  • Design and Implementation of 32-Bit MIPS RISC Processor with Flexible 5-Stage Pipelining and Dynamic Thermal Control
    Avinash N J, Ishani Mishra, Tejas C Ghorpade, Lokesh M, Nishanth H, and Manoj Kumar S

    IEEE
    The main aim of this design is design a 5-stage flexible pipelined 32-bit RISC-V processor using system Verilog including it Dynamic thermal management technique. This Design is be based on MIPS instruction set architecture(ISA) in which stages of pipeline include Instruction fetch, Instruction Decode, Execute, Memory access, Write back. The RISC[Reduced Instruction set Computed] compared to CISC[Complex instruction set computer] executes instruction in one clock and instructions are always uniformly lengthen and fixed instruction format based opcode. Hence RISC is preferable more used for less complex tasks and low power designs. Based on the literature the proposed design brings significant improvements in simulation speeds due to flexible pipeline technique and low power consumption is achieved. The Primary desire of this paper is to simulate and synthesize the design by perform basic ALU operations and provide desired outputs.

  • Toward Intelligent and Rush-Free Errands Using an Intelligent Chariot
    N. J. Avinash, Hrishikesh R. Patkar, P. Sreenidhi, Sowmya Bhat, Renita Pinto, and H. Rama Moorthy

    Springer Singapore

  • Android App and RFID Based Smart Ration Distribution System
    Avinash N J, Krishnaraj Rao N S, Rama Moorthy H, Ashwin Shenoy M, Chetan R, and Sowmya Bhat

    IEEE
    In this paper we discuss about deploying a smart android application for ration service and ration availing through a online service. Additional to the e-service we also discuss about introducing RFID Card to replace the conventional ration card. In the proposed system the smart app is intended to be used for ration availing through online mode, thereby cutting down traditional means of ration availing. Online service offers two modes of availing ration, the beneficiary can opt to collect ration for him/herself or they can opt for others to collect the ration for them. Additional to the smart service, a unique RFID tag is assigned to one member of each family to verify their identity by RFID reader while collecting ration through FPS. Beneficiaries are given both option of availing ration either by online or offline and can make use of either as per their comfort.

  • An Automated Robotic Arm: A Machine Learning Approach
    N S Krishnaraj Rao, N J Avinash, H Rama Moorthy, K Karthik, Sudesh Rao, and S Santosh

    IEEE
    The term ‘robot’ generally refers to a machine that looks and works in a way similar to a human. The modern industry is rapidly shifting from manual control of systems to automation, in order to increase productivity and to deliver quality products. Computer-based systems, though feasible for improving quality and productivity, are inflexible to work with, and the cost of such systems is significantly high. This led to the swift adoption of automated systems to perform industrial tasks. One such task of industrial significance is of picking and placing objects from one place to another. The implementation of automation in pick and place tasks helps to improve efficiency of system and also the performance. In this paper, we propose to demonstrate the designing and working of an automated robotic arm with the Machine Learning approach. The work uses Machine Learning approach for object identification / detection and traversal, which is adopted with Tensorflow package for better and accurate results.

  • Providing Knee Movement Assistance using Android and IOT
    R Chetan, N J Avinash, K Aditya, M Gowri, K R Pranav, and Namana

    IEEE
    Aging in living beings is a natural process and with aging one encounters challenges with walking or standing for long hours. Obsolete solutions like walking sticks do not provide satisfactory and effective solutions permanently neither can they be integrated with smart features to help in physical ailments. This paper aims to provide a knee brace made up of aluminium along with the device built using lead screw mechanism attached to the legs for the movement of the legs. This is made possible using 12V High Torque DC Geared Motor with 30 RPM and 21 Kg /Cm Rated torque. Lead Screw Mechanism uses the power generated by the motor to facilitate movement. Arduino Uno with the microchip ATmega328P controls the motor. The Bluetooth module (HC-05) helps in connecting the microcontroller to the Walk-Easy mobile app created. The Walk-Easy app allows the user to sit or stand using either buttons provided or through voice command. The Mobile App is integrated for user convenience, through which the movement is assisted as desired by the user. The main goal here is to realise a device to overcome these problems and provide effective solution to the knee related problem

  • Biometric Authentication for Safety Lockers Using Cardiac Vectors
    Rama Moorthy H, Shrinivasa, Chetan R, Deepak Rao M, Avinash N J, and Krishnaraj Rao N S

    IEEE
    Security has become the vital component of today's technology. People wish to safeguard their valuable items in bank lockers. With growing technology most of the banks have replaced the manual lockers by digital lockers. Even though there are numerous biometric approaches, these are not robust. In this work we propose a new approach for personal biometric identification based on features extracted from ECG.

  • A Comprehensive Study of Neural Network Using R
    Avinash N J, Sowmya Bhat, Renita Pinto, and Rama Moorthy H

    IEEE
    Various scientific studies have always tried to figure out the behavior of biological neurons in order to develop a mechanism which will efficiently work like human brain. Therefore artificial modeling of neurons and establishing various connections among them is termed as neural network algorithms. These algorithms have proved to be one of the efficient ways of replication human psychology. Various computer languages have been tried out and ${R}$ is another new approach to this field. In our work we have tried to understand these neural networks in terms of computer programming language ${R}$ and how ${R}$ can become beneficial in understanding and modeling

  • A New Automated Electrical System using Smart Grid Technology
    H Rama Moorthy, Shrinivasa, R Chetan, M Deepak Rao, N J Avinash, and N S Krishnaraj Rao

    IEEE
    The smart grid is a new era of power system that is grabbing the attention of government and the industry. It is based on two-way digital communications between the power supplier and consumer. It supports smart metering and monitoring systems. The current electrical grid system has several liabilities like load shedding, manual billing system and usage of unlicensed amount of power. In this paper we are proposing a new system that aims to eliminate the concept of physical switches, detect possible thefts and also eliminate the manual billing system.

  • Smart Fridge for Global Users Based on IOT Using Deep Learning
    N J Avinash, Renita Pinto, Sowmya Bhat, R Chetan, and H Rama Moorthy

    IEEE
    Current assembling lines for the fridge exploit a robotized assessment device that depends on cameras. As a developing issue, fridge arrangement dependent on pictures from its front view is important for cooler modern mechanization. In any case, this remaining parts an extremely testing task in light of the fact that the cooler is frequently seen against thick mess under conditions. In this paper, we propose a computerized fridge picture arrangement strategy, in light of the new undertaking of the Convolution Neural Network (CNN). It decides the challenges in fridge picture order by streamlining the information driven instrument and advancing both arrangement and comparability imperative. As far as anyone is concerned, this is the first occasion when that profound learning design has been reasonable for the fridge's home apparatuses field. Due to the investigations ordinary out utilizing 31,247 pictures of 30 classifications of coolers, our CNN engineering make a very monumental exactness of 99.96 %.

  • Triggering and Auditing the Event during Intrusion Detections in WSN's Defence Application
    Rama Moorthy H, U Harshitha Shet, Rakshitha D Shetty, Shrinivasa, Avinash N J, and Krishnaraj Rao N S

    IEEE
    WSNs are extensively used in defence application for monitoring militant activities in various ways in large unknown territories. Here WSNs has to have large set of distributed systems in the form as sensors nodes. Along with security concerns, False Alarming is also a factor which may interrupt the service and downgrade the application further. Thus in our work we have made sure that when a trigger is raised to an event, images can be captured from the connected cameras so that it will be helpful for both auditing the event as well as capturing the scene which led to the triggering of the event.

  • WSN in defence field: A security overview
    Rama Moorthy H, Varsha Bangera, Zeba Amrin, Avinash N J, and Krishnaraj Rao N S

    IEEE
    The communication in the military is generally significant. It is a must to have a safe channel through which data is traded progressively and for the protection of data. The wireless sensor network can be utilized in a military application for observing aggressor exercises Iil trespassers, keeping track of enemies, and power assurance. Wireless sensor networks have an enormous arrangement of disseminated sensor nodes. These sensor nodes are low controlled, minimal effort, little in measure, and can do constrained measure of calculation. Here in this paper, it is possible to check with the different types of security issues of WSN. Also, a different existing security algorithm can be studied and deployed in the WSN’ defense application.

  • High Performance Electronic Voting Machine (EVM) Implementation Using ARM Cortex M3
    Avinash N J, Chethan R, Sowmya Bhat, and Renita Pinto

    IEEE
    The main building stone in a democratic country are fair elections. In India, the main objective of introducing Electronic voting machine was to reduce mishaps and frauds especially in states which are politically sensitive and are subjected to frequent re-polls due to electoral rigging and imbalance in voting system. The EVM machine currently used by our government requires updated Microcontroller like ARM Cortex M3 which has advanced features like Memory protection, Accurate Time stamping using Ultra Low power RTC, cost sensitive, efficient interrupt controller (NVIC), a RTOS timer (the SysTick). These features make the software on ARM Cortex M3 much more efficient. In this paper using ARM Cortex M3, this research work has replicated features currently available in the EVM and also included some features like RESET and final vote count display as password protected. Designed EVM system will allow a person to cast his/her vote only once, the casted vote being recorded by the ballot unit which is controlled by control unit. In the process of vote, the person casting the vote would able to watch glowing LED near the candidate party symbol. By this candidate conclude themselves that vote has been recorded. The process followed by enabling the ballot on control unit by the PRO.

RECENT SCHOLAR PUBLICATIONS

  • Toward Intelligent and Rush-Free Errands Using an Intelligent Chariot
    NJ Avinash, HR Patkar, P Sreenidhi, S Bhat, R Pinto, HR Moorthy
    Expert Clouds and Applications: Proceedings of ICOECA 2021, 511-521 2022

  • An automated robotic arm: a machine learning approach
    NSK Rao, NJ Avinash, HR Moorthy, K Karthik, S Rao, S Santosh
    2021 IEEE International Conference on Mobile Networks and Wireless 2021

  • Android App and RFID Based Smart Ration Distribution System
    NJ Avinash, KR NS, R Moorthy, A Shenoy, R Chetan, S Bhat
    2021 IEEE International Conference on Mobile Networks and Wireless 2021

  • Providing knee movement assistance using android and IOT
    R Chetan, NJ Avinash, K Aditya, M Gowri, KR Pranav
    2021 2nd International Conference on Smart Electronics and Communication 2021

  • A new automated electrical system using smart grid technology
    HR Moorthy, R Chetan, MD Rao, NJ Avinash, NSK Rao
    2020 International Conference on Power, Energy, Control and Transmission 2020

  • Smart fridge for global users based on IOT using deep learning
    NJ Avinash, R Pinto, S Bhat, R Chetan, HR Moorthy
    2020 International Conference on Power, Energy, Control and Transmission 2020

  • Biometric authentication for safety lockers using cardiac vectors
    R Moorthy, R Chetan, D Rao, NJ Avinash, KR NS
    2020 International Conference on Power, Energy, Control and Transmission 2020

  • A Comprehensive Study of Neural Network Using R
    NJ Avinash, S Bhat, R Pinto, R Moorthy
    2020 International Conference on Power, Energy, Control and Transmission 2020

  • Triggering and Auditing the Event During Intrusion Detections in WSN’s Defence Application
    R Moorthy, UH Shet, RD Shetty, NJ Avinash, KR NS
    2020 3rd International Conference on Intelligent Sustainable Systems (ICISS 2020

  • High Performance Electronic Voting Machine (EVM) Implementation Using ARM Cortex M3
    NJ Avinash, R Chethan, S Bhat, R Pinto
    2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile 2020

  • WSN in defence field: A security overview
    R Moorthy, V Bangera, Z Amrin, NJ Avinash, KR NS
    2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile 2020

  • Design and Analysis of 8-T and 5-T based XOR and XNOR gates using Soft Computing Tools
    S Bhat, NJ Avinash, S Kumar, K Prabhu, R Pinto


MOST CITED SCHOLAR PUBLICATIONS

  • WSN in defence field: A security overview
    R Moorthy, V Bangera, Z Amrin, NJ Avinash, KR NS
    2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile 2020
    Citations: 13

  • Smart fridge for global users based on IOT using deep learning
    NJ Avinash, R Pinto, S Bhat, R Chetan, HR Moorthy
    2020 International Conference on Power, Energy, Control and Transmission 2020
    Citations: 7

  • An automated robotic arm: a machine learning approach
    NSK Rao, NJ Avinash, HR Moorthy, K Karthik, S Rao, S Santosh
    2021 IEEE International Conference on Mobile Networks and Wireless 2021
    Citations: 5

  • Biometric authentication for safety lockers using cardiac vectors
    R Moorthy, R Chetan, D Rao, NJ Avinash, KR NS
    2020 International Conference on Power, Energy, Control and Transmission 2020
    Citations: 5

  • High Performance Electronic Voting Machine (EVM) Implementation Using ARM Cortex M3
    NJ Avinash, R Chethan, S Bhat, R Pinto
    2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile 2020
    Citations: 4

  • Providing knee movement assistance using android and IOT
    R Chetan, NJ Avinash, K Aditya, M Gowri, KR Pranav
    2021 2nd International Conference on Smart Electronics and Communication 2021
    Citations: 3

  • Android App and RFID Based Smart Ration Distribution System
    NJ Avinash, KR NS, R Moorthy, A Shenoy, R Chetan, S Bhat
    2021 IEEE International Conference on Mobile Networks and Wireless 2021
    Citations: 2

  • A new automated electrical system using smart grid technology
    HR Moorthy, R Chetan, MD Rao, NJ Avinash, NSK Rao
    2020 International Conference on Power, Energy, Control and Transmission 2020
    Citations: 1