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
S. Suthagar, G. Mageshkumar, K. Hemalatha, Saggurthi Prabhakara Rao, R. Mahesh, and S. M. Kural Eniyavan
Springer Nature Singapore
S. Suthagar, G. Mageshkumar, M. Ayyadurai, C. Snegha, M. Sureka, and S. Velmurugan
Springer Nature Singapore
G. Mageshkumar, S. Suthagar, D. Maher Shalal, S. Muruganantham, and T. Manoji
Springer Nature Singapore
G. Mageshkumar, Saggurthi Prabhakara Rao, S. Suthagar, K. Hemalatha, K. Gowtham, and T. Hariharan
Springer Nature Singapore
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
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.
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.
S. Suthagar, K. S. Tamilselvan, M. Priyadharshini, and B. Nihila
Springer Singapore
K. S. Tamilselvan, G. Mageshkumar, S. Suthagar, and G. Murugesan
Springer Singapore
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.
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.