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All Journal International Journal of Reconfigurable and Embedded Systems (IJRES) Bulletin of Electrical Engineering and Informatics
Manjunathan Alagarsamy
K.Ramakrishnan College of Technology
Economics, Econometrics & Finance Electrical & Electronics Engineering

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Automatic wireless health instructor for schools and colleges Jeyalakshmi Chelliah; Manjunathan Alagarsamy; Karthikram Anbalagan; Dineshkumar Thangaraju; Edwin Santhkumar Wesley; Kannadhasan Suriyan
Bulletin of Electrical Engineering and Informatics Vol 11, No 1: February 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i1.3330

Abstract

The suggested work demonstrates the preventive measures that can be used in schools and colleges during the present pandemic, which are the most important considerations once all of the institutions have reopened. Right now, sanitizers are the most important goods. According to WHO's new standards and regulations, a high level of sanitization is required to live. Despite the fact that all guidelines have been implemented, the majority of students are irresponsible, exacerbating the current scenario. To keep a student's hand sterilised, the proposed design incorporates an automatic hand sanitizer and a temperature detection system based on their ID card. The specific status of the student will be delivered to the class coordinator's mobile phone via genitourinary syndrome of menopause GSM whenever a person wishes to do it, even if there is no contact with the sanitising machine. Our method also uses a camera to snap a picture of the student, which can be viewed on a computer if any of the students do not answer. This also verifies the student's attendance, and the temperature of a specific student will be checked without the student's contact or touch in order to ensure safety and security. This allows everyone to keep an eye on the students while adhering to regulatory regulations.
Comparative study of BER With NOMA system in different fading channels Roselin Suganthi Jesudoss; Rajeswari Kaleeswaran; Manjunathan Alagarsamy; Dineshkumar Thangaraju; Dinesh Paramathi Mani; Kannadhasan Suriyan
Bulletin of Electrical Engineering and Informatics Vol 11, No 2: April 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i2.3311

Abstract

In today's world, cellular communication is rapidly expanding. One of the most common strategies for assigning the spectrum of users in cellular communication is the multiple access strategy. Because the number of people using cellular communication is continually expanding, spectrum allotment is an important factor to consider. To access the channel in fifth-generation mobile communication, a method known as non-orthogonal multiple access (NOMA) is used. NOMA is a promising method for improving sum rate and spectral efficiency. In this research, we used the NOMA approach to compare the bit error rate (BER) versus signal to noise ratio (SNR) of two users in rayleigh, rician, and nakagami fading channels. A single antenna with two users is used in this NOMA system. Two users can tolerate the same frequency with differing power levels in the power domain using 5G NOMA technology. Non-orthogonality ensures that NOMA users are treated equally to OMA users. According to the MATLAB simulation findings, the BER vs. SNR of two user NOMA in the Nakagami channel is substantially better than the rayleigh and rician channels.
Performance analysis of peak signal-to-noise ratio and multipath source routing using different denoising method Kannadhasan Suriyan; Nagarajan Ramaingam; Sudarmani Rajagopal; Jeevitha Sakkarai; Balakumar Asokan; Manjunathan Alagarsamy
Bulletin of Electrical Engineering and Informatics Vol 11, No 1: February 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i1.3332

Abstract

The problem of denoising iris pictures for iris identification systems will be discussed, as well as a novel solution based on wavelet and median filters. Different salt and pepper extraction algorithms, as well as Gaussian and speckle noises, were used. Because diverse sounds decrease picture quality during image collection, noise reduction is even more important. To reduce sounds like salt and pepper, Gaussian, and speckle, filtering (median, wiener, bilateral, and Gaussian) and wavelet transform are utilised. Provide better results as compared to other ways. A study of several efficiency indicators such as peak signal-to-noise ratio (PSNR) and mean squared error will be used to demonstrate the superiority of the proposed technique (MSE).
A comprehensive analysis on IoT based smart farming solutions using machine learning algorithms Ahamed Ali Samsu Aliar; Justindhas Yesudhasan; Manjunathan Alagarsamy; Karthikram Anbalagan; Jeevitha Sakkarai; Kannadhasan Suriyan
Bulletin of Electrical Engineering and Informatics Vol 11, No 3: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i3.3310

Abstract

Agriculture and farming are the most important and basic industries that are very important to humanity and generate a considerable portion of any nation's GDP. For good agricultural and farming management, technological advancements and support are required. Smart agriculture (or) farming is a set of approaches that uses a variety of current information and communication technology to improve the production and quality of agricultural products with minimum human involvement and at a lower cost. Smart farming is mostly based on IoT technology, since there is a need to continually monitor numerous aspects in the agricultural field, such as water level, light, soil characteristics, plant development, and so on. Machine learning algorithms are used in smart farming to increase production and reduce the risk of crop damage. Data analytics has been shown through extensive study to improve the accuracy and predictability of smart agricultural systems. Data analytics is utilised in agricultural fields to make decisions and recommend acceptable crops for production. This study provides a comprehensive overview of the different methods and structures utilised in smart farming. It also provides a thorough analysis of different designs and recommends appropriate answers to today's smart farming problems.
IoT based E-vehicle monitoring system using sensors and imaging processing algorithm Manjunathan Alagarsamy; Prabakaran Kasinathan; Geethalakshmi Manickam; Prabu Ragavendiran Duruvarajan; Jeevitha Sakkarai; Kannadhasan Suriyan
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 11, No 2: July 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijres.v11.i2.pp196-204

Abstract

Human evolution has included the development of transportation systems. People are currently driving a significant number of fuel-powered automobiles. This resulted in an increase in the number of accidents as well as pollution in the environment. To address the disadvantages of gasolinebased vehicles, this study presents an IoT-based E-vehicle monitoring system (E-VMS) for early accident detection and to make the environment cleaner and greener by using alternative energy. E-VMS employs internet of things (IoT) technology to continuously monitor the vehicle as well as to access and control it remotely. The IoT devices installed in vehicles are built using an Arduino microcontroller and sensors to detect accidents quickly. When an accident occurs, the E-VMS recognizes it quickly and determines the severity of the incident. The machine will then promptly alert the authorities. The E-VMS is also familiar with the GPS system. This will allow the E-VMS to maintain track of the cars' location in real time. This information will be used to locate the car in the event of an accident or theft. The E-VMS system's results were promising in terms of accurately identifying accidents, determining the severity of the accident, and determining the position of the vehicle.
Power analyzer of linear feedback shift register techniques using built in self test Kannadhasan Suriyan; Nagarajan Ramalingam; Kanagaraj Venusamy; Sathish Sivaraman; Kiruthiga Balasubramaniyan; Manjunathan Alagarsamy
Bulletin of Electrical Engineering and Informatics Vol 11, No 2: April 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i2.3331

Abstract

Wasteful patterns that don't lead to fault dropping squander a tone of energy in the linear-feedback shift register and circuit under examination in a random research region. Random switching actions in the CUT and scan pathways between applications with two consecutive vectors are another significant cause of energy loss. This study proposes a unique built-in self-test (BIST) technique for scan-based circuits that might help save energy. Only the available vectors are produced in a fixed series thanks to a mapping logic that alters the LFSR's state transitions. As a consequence, and without reducing fault coverage, the time it takes to execute trials has decreased. Experiments on circuits demonstrated that during random testing, the linear feedback shift register saves a significant amount of power.
IoT based tracking cattle healthmonitoring system using wireless sensors Jai Ganesh Rajendran; Manjunathan Alagarsamy; Vaishnavi Seva; Paramathi Mani Dinesh; Balamurugan Rajangam; Kannadhasan Suriyan
Bulletin of Electrical Engineering and Informatics Vol 12, No 5: October 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i5.4610

Abstract

Controlling the health of dairy cows is crucial for increasing global dairy food output. Dairy farmers are losing faith in the sector as cows suffer from a range of health issues, disease outbreaks that are unpredictable, and expensive breeding expenses. As a consequence, farmers must use efficient technology techniques for cow health monitoring in order to enhance milk output. This study looked at a range of wireless sensor-based automated dairy cow health monitoring systems. The fundamental purpose of wireless sensor network (WSN) based smart surveillance systems in agricultural optimization is to follow the health of dairy cows on a continual basis. This monitoring gadget must be installed in both local and remote farm areas so that interested farmers may monitor their cattle's movements throughout the day from several places. The data collected by the automated system would be kept in a database. Farmers may then obtain data using farm automation to execute effective farm management techniques. Furthermore, WSN is a low-cost device created exclusively for identifying illnesses in dairy cows. This achievement in sophisticated technology agricultural automation would assist to boost productivity by reducing human involvement. This article summarises all livestock tracking techniques, as well as the issues and challenges that they confront.
Co-Authors Ahamed Ali Samsu Aliar Balakumar Asokan Balamurugan Rajangam Dinesh Paramathi Mani Dineshkumar Thangaraju Edwin Santhkumar Wesley Geethalakshmi Manickam Jai Ganesh Rajendran Jeevitha Sakkarai Jeevitha Sakkarai Jeyalakshmi Chelliah Justindhas Yesudhasan Kanagaraj Venusamy Kannadhasan Suriyan Kannadhasan Suriyan Kannadhasan Suriyan Karthikram Anbalagan Karthikram Anbalagan Kiruthiga Balasubramaniyan Nagarajan Ramaingam Nagarajan Ramalingam Paramathi Mani Dinesh Prabakaran Kasinathan Prabu Ragavendiran Duruvarajan Rajeswari Kaleeswaran Roselin Suganthi Jesudoss Sathish Sivaraman Sudarmani Rajagopal Vaishnavi Seva