Suthagar S

@kongu.ac.in

Assistant Professor and Electronics & Communication Engineering
Kongu Engineering College

* Kongu Engineering College, Professor (Assistant), July 2017 - Present, Location-Perundurai, India, Department of Electronics and Communication Engineering.
* Kings Engineering College,Professor (Assistant), June 2013 - May 2017, Location-Chennai, India, Department of Electronics and Communication Engineering.
* RRS College of Engineering and Technology, Professor (Assistant), October 2009 - December 2012, Location-Hyderabad, India, Department of Electronics and Communication Engineering.
*PMR Institute of Technology, Chennai, Professor (Assistant), June 2008 - September 2009, Location-Chennai, India, Department of Electronics and Communication Engineering.

EDUCATION

Master of Engineering

RESEARCH, TEACHING, or OTHER INTERESTS

Engineering, Electrical and Electronic Engineering, Industrial and Manufacturing Engineering, Hardware and Architecture

Scopus Publications

Scholar Citations

Scholar h-index

Scholar i10-index

Scopus Publications

A Wearable Healthcare and Safety System for Industrial Workers with Emergency Communication Facility
S. Suthagar, G. Mageshkumar, Sagguthi Prabhakara Rao, Raja R. Kumaran, M. Sandhiya, and S. Sandiya
Springer Nature Singapore

Performance Analysis of Velostat, Conductive Fabric and Force Sensing Resistor for Incorporating Safety in Women's Jacket
Suthagar S, Shriganth RA, Subash S, and Vasanth M
IEEE
Every day, harassment issues and crimes against women are increasing in India. When women are in danger, if there is no chance to access the mobile phones, then women cannot easily contact others for help. Women are affected physically and mentally, and many lives were lost. When affected, women suffer from psychological effects like depression and lowered self-esteem in addition to physical effects. A safety system in woman's jacket is used to detect harassment and to rescue women from harassment before being severely affected. It is also used to detect abnormal conditions in health by using heartbeat and body temperature sensors. Three piezoresistive materials such as Velostat, Force Sensing Resistor and conductive fabric are analyzed in which resistance is decreased when pressure is applied. These materials are analyzed and the results show that velostat is better than Force sensing resistor and conductive fabric. Velostat is implemented in the safety system and the system detects the pressure applied to a woman's body. If the pressure is greater than the threshold level, then the system sends the message along with the location with the help of GSM and GPS modules. In addition to the automatic detection of pressure, a push button is present in the circuit to send the message manually. Temperature sensors and pulse rate sensors are used to measure the body temperature and heartbeat of the woman. The system was implemented and tested with 15 people and it has an overall accuracy of 93.1%.

Identification of Respiratory Diseases and Diabetes by Non-invasive Method Using IoT
S. Suthagar, G. Mageshkumar, K. Hemalatha, Saggurthi Prabhakara Rao, R. Mahesh, and S. M. Kural Eniyavan
Springer Nature Singapore

Faecal Image-Based Chicken Disease Classification Using Deep Learning Techniques
S. Suthagar, G. Mageshkumar, M. Ayyadurai, C. Snegha, M. Sureka, and S. Velmurugan
Springer Nature Singapore

Flexi-Pay System for Public Transport Based on Passenger Comfort Using Global Positioning System
G. Mageshkumar, S. Suthagar, D. Maher Shalal, S. Muruganantham, and T. Manoji
Springer Nature Singapore

Design and Implementation of a Solar Powered Floating Device for Water Quality Monitoring in Inland Aquaculture Farms Using LoRa Wireless Communication
G. Mageshkumar, Saggurthi Prabhakara Rao, S. Suthagar, K. Hemalatha, K. Gowtham, and T. Hariharan
Springer Nature Singapore

Performance Comparison of Parity Preserving Flip-Flops Using Parity Preserving Gates by Quantum Cellular Automata and Verilog
S Suthagar, G Mageshkumar, M Ayyadurai, Saggurthi Prabhakara Rao, K Hemalatha, and R Preethi
IEEE
The proposed research study has designed parity preserving FFs using parity preserving gates like FREDKIN gate (FRG) and FEYNMAN gate (FYG) using Quantum Cellular Automata (QCA). Incognitive property of reversible logic attracts most researchers where energy dissipation is a big concern. The complexity of parity reversible circuits is better than simple reversible circuits. The proposed models of the FF(FF) are way superior to the existing designs with regards to constant input, quantum cost, gate count, area, power dissipation, garbage output, and delay. The characteristics of the proposed FF are compared with the existing characteristics of the FF. It shows that the performance of QCA has increased by 24%, 28%, and 37.5% in terms of area and 55%, 62%, and 68% in terms of delay of our proposed D, T, and JK FFs respectively. Index Terms—Reversible logic, parity preserving, quantum cellular automata, Verilog HDL, Flip-flop

Analysis of Breast Cancer Classification using Various Algorithms
Suthagar S, Snegha C, Sureka M, and Velmurugan S
IEEE
Invasive ductal carcinoma has become the most common types of tumors in recent years. The chances of the patient arriving in the case improve if the issue is detected early. The most prevalent classification for breast cancer is binary (benign cancer/malignant cancer), which allows pathologists to come up with a systematic and objective prognosis.The WBCD (Wisconsin Breast Cancer Diagnosis) dataset is used to build the classifier. Before performing the classification, the dataset is preprocessed and explored using various techniques. Four Machine Learning techniques like k-fold cross-validation, pipelining, principle component analysis(PCA), and hyperparameter optimization are compared and analyzed in the project. These techniques are applied to the development of eight classifiers that must distinguish between benign and malignant breast tumors. These techniques were applied on the Adaboost classifier, KNeighbor classifier, DT classifier, RF classifier, SVM classifier, Logistic regression classifier, Gaussian NB classifier, and Gradient boosting classifier. After applying all those algorithms, the SVM classifier has obtained the highest accuracy of 99.1% after applying all those algorithms on the dataset.

Design and Analysis of a Soft Gripper for Human Interactive Robot
Mageshkumar G, Suthagar S, Mukilarasu N, Nandesh K S, Lakshmikanthan T, and Tamilselvan K S
IEEE
Body ache is one of the major problems faced by old people. Manual body massage is a common remedy for pain relief. To automate the process of comfort and physical relief, a gripper is needed. There are many types of grippers available, but they are very hard in nature and are not suitable for direct human contact. The proposed work presents a soft gripper to provide light pressure for relaxing the muscles and for relief from body pain. A three-dimensional (3D) mould is manufactured using a FabX 3D printer. Liquid Silicone Rubber (LSR 110) A and B resin mixture is made to set using the 3D mould to fabricate the soft gripper. The control of tentacles is done using Arduino UNO and pressure sensor details are monitored to find optimal pressure required to hold and lift the objects. The experimental result shows that the gripper control is easy and it is suitable for human interactive robots.

Determination of Apple, Lemon, and Banana Ripening Stages Using Electronic Nose and Image Processing
S. Suthagar, K. S. Tamilselvan, M. Priyadharshini, and B. Nihila
Springer Singapore

A Case Study on Implementation of an Efficient and Cost-Effective Solar Power Generation System for Irrigation Purpose
K. S. Tamilselvan, G. Mageshkumar, S. Suthagar, and G. Murugesan
Springer Singapore

Design of industrial data monitoring device using IoT through modbus protocol

Automated milk quantity and quality checking and vending machine
Suthagar S*, , K.S Tamilselvan, G.Magesh kumar, S. Muthupandiyan, Vibin Mammen Vinod, , , , and
Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
In this paper, each farmer is provided with a separate RFID tag, which has a unique code. When the RFID tag is punched against RFID card reader LCDs the code. Milk is deposited in the tank where its quality and quantity is determined. The quality of milk is examined using a pH sensor and its quantity is determined using an ultrasonic sensor. The milk is segregated into third categories depending on its quality as first quality, second quality, and rejection. Here three solenoid valves are used for segregation purposes. The milk is deposited in separate tanks according to its quality. The details such as cost, quality, and quantity of milk are fed to PC. The customer deposits the currency note. The web camera is used to capture the image of the currency note and it is compared with the database stored in PC. Here a switch is used for quality selection based on customer preference. Milk is vended based on the rupee note deposited and on the quality selected by the customer. The entire system is maintained with a refrigeration temperature of 4°C.

Performance comparison of adaptive filters for speckle noise reduction in SAR images
G. Mageshkumar, S. Suthagar, and K. S. Tamilselvan
IEEE
Noise is the most common problem in imaging systems that affects the quality of the image. Noise is unwanted data that has the capability to reduce the contrast and deteriorate the object’s size and shape in the image. It also blurs the edges or dilutes the fine details in the image. Reducing the noise in images has become very essential in image processing. This paper presents the comparison of Frost and Kaun filter for noise reduction in images. Speckle is a characteristic attribute of SAR(Synthetic aperture radar) and Ultrasonic images. Speckle noise is modelled as spatially correlated multiplicative noise. The speckle noise filters are designed for enhancement of visualization of speckle images. SAR and Ultrasound are the main applications areas for speckle noise filters.

RECENT SCHOLAR PUBLICATIONS

Performance Analysis of Velostat, Conductive Fabric and Force Sensing Resistor for Incorporating Safety in Women's Jacket
S Suthagar, RA Shriganth, S Subash, M Vasanth
2024 International Conference on Emerging Smart Computing and Informatics 2024

A Wearable Healthcare and Safety System for Industrial Workers with Emergency Communication Facility
S Suthagar, G Mageshkumar, SP Rao, RR Kumaran, M Sandhiya, ...
International Conference on Robotics, Control, Automation and Artificial 2023

Identification of respiratory diseases and diabetes by non-invasive method using iot
S Suthagar, G Mageshkumar, K Hemalatha, S Prabhakara Rao, ...
Inventive Computation and Information Technologies: Proceedings of ICICIT 2023

Design and Implementation of a Solar Powered Floating Device for Water Quality Monitoring in Inland Aquaculture Farms Using LoRa Wireless Communication
G Mageshkumar, SP Rao, S Suthagar, K Hemalatha, K Gowtham, ...
Inventive Computation and Information Technologies: Proceedings of ICICIT 2023

Faecal image-based chicken disease classification using deep learning techniques
S Suthagar, G Mageshkumar, M Ayyadurai, C Snegha, M Sureka, ...
Inventive Computation and Information Technologies: Proceedings of ICICIT 2023

Flexi-Pay System for Public Transport Based on Passenger Comfort Using Global Positioning System
G Mageshkumar, S Suthagar, D Maher Shalal, S Muruganantham, ...
Inventive Computation and Information Technologies: Proceedings of ICICIT 2023

High Performance and Area Efficient Multi-Operand Binary Tree Adder
S SUTHAGAR
2023

Baby Incubator Monitoring System using Global System for Mobile Technology
S S, MGKS Tamilsevan
Jurnal Kejuruteraan (Journal of Engineering) 34 (5), 899-904 2022

Performance comparison of parity preserving flip-flops using parity preserving gates by quantum cellular automata and verilog
S Suthagar, G Mageshkumar, M Ayyadurai, SP Rao, K Hemalatha, ...
2022 7th International Conference on Communication and Electronics Systems 2022

Analysis of breast cancer classification using various algorithms
S S, C Snegha, M Sureka, S Velmurugan
2022 6th International Conference on Computing Methodologies and 2022

Design and Analysis of a Soft Gripper for Human Interactive Robot
G Mageshkumar, S Suthagar, N Mukilarasu, KS Nandesh, ...
2022 6th International Conference on Computing Methodologies and 2022

Determination of apple, lemon, and banana ripening stages using electronic nose and image processing
S S, KS Tamilselvan, M Priyadharshini, B Nihila
Innovations in Cyber Physical Systems: Select Proceedings of ICICPS 2020 2021

A Case Study on Implementation of an Efficient and Cost-Effective Solar Power Generation System for Irrigation Purpose
KS Tamilselvan, G Mageshkumar, S Suthagar, G Murugesan
Advances in Greener Energy Technologies, 807-815 2020

Translation of Sign Language for Deaf and Dumb People
Suthagar S, K.S.Tamilselvan, P.Balakumar, B.Rajalakshmi, C.Roshini
International Journal of Recent Technology and Engineering (IJRTE) 8 (5 2020

Design Of Industrial Data Monitoring Device Using IoT Through MODBUS Protocol
SS G.Mageshkumar, Kasthuri N, Tamilselvan K S
International Journal Of Scientific & Technology Research 9 (1), 1392-1396 2020

Fuzzy Based Image Segmentation Method for Defect detection in Ceramic Tiles
GM G.Murugesan , V.C.Diniesh , S.Suthagar
IN Patent G01N2021/8,887 2019

IOT BASED ONLINE TRANSFORMER MAINTENANCE SYSTEM
SS Tamilselvan KS
Indian Journal of Applied Research 9 (1) 2019

Automated Milk Quantity and Quality Checking and Vending Machine
MS Suthagar S, Tamilselvan K S, Mageshkumar G
International Journal of Recent Technology and Engineering (IJRTE) 8 (3 2019

Performance comparison of adaptive filters for speckle noise reduction in SAR images
G Mageshkumar, S Suthagar, KS Tamilselvan
2018 International Conference on Intelligent Computing and Communication for 2018

Android Based Vehicle Speed Control System In Critical Zones Using GPS Technology
GM K.S.Tamilselvan, Suthagar S
International Journal of Advanced Research in Electronics and Communication 2018

MOST CITED SCHOLAR PUBLICATIONS

Translation of Sign Language for Deaf and Dumb People
Suthagar S, K.S.Tamilselvan, P.Balakumar, B.Rajalakshmi, C.Roshini
International Journal of Recent Technology and Engineering (IJRTE) 8 (5 2020
Citations: 11

Automated Milk Quantity and Quality Checking and Vending Machine
MS Suthagar S, Tamilselvan K S, Mageshkumar G
International Journal of Recent Technology and Engineering (IJRTE) 8 (3 2019
Citations: 6

Advanced Online Examination using Raspberry Pi
SHR Suthagar S, M.Joshua John
International Journal of Advanced Research Trends in Engineering and 2017
Citations: 4

“Smart Surveillance Camera Using Raspberry Pi 2 and Opencv”
S Suthagar, AS Ponmalar, B Benita
International Journal of Advanced Research Trends in Engineering and 2016
Citations: 4

Analysis of breast cancer classification using various algorithms
S S, C Snegha, M Sureka, S Velmurugan
2022 6th International Conference on Computing Methodologies and 2022
Citations: 3

Android Based Vehicle Speed Control System In Critical Zones Using GPS Technology
GM K.S.Tamilselvan, Suthagar S
International Journal of Advanced Research in Electronics and Communication 2018
Citations: 3

Adhar Based Electronic Voting System and Providing Authentication on Internet Of Things
JA Suthagar S, T.Jesammal
The Third International Conference on Electrical, Electronics and Computer 2017
Citations: 2

IOT BASED ONLINE TRANSFORMER MAINTENANCE SYSTEM
SS Tamilselvan KS
Indian Journal of Applied Research 9 (1) 2019
Citations: 1