A5039526695- Low-power high-performance VLSI design
- Radiation Effects in Electronics
- Parallel Computing and Optimization Techniques
- Advanced Memory and Neural Computing
- CCD and CMOS Imaging Sensors
- Analog and Mixed-Signal Circuit Design
- VLSI and Analog Circuit Testing
- Advancements in Semiconductor Devices and Circuit Design
- Nutritional Studies and Diet
- Water Quality Monitoring Technologies
- Chaos-based Image/Signal Encryption
- Electromagnetic Compatibility and Noise Suppression
- Energy Efficient Wireless Sensor Networks
- Microgrid Control and Optimization
- Culinary Culture and Tourism
- Advanced Data Compression Techniques
- Image Processing Techniques and Applications
- Industrial Vision Systems and Defect Detection
- Underwater Vehicles and Communication Systems
- Advanced Chemical Sensor Technologies
- Integrated Circuits and Semiconductor Failure Analysis
- solar cell performance optimization
- Advanced Steganography and Watermarking Techniques
- Smart Systems and Machine Learning
- Quantum-Dot Cellular Automata
Tirunelveli Medical College
2023
Government Medical College Thoothukudi
2020-2021
KG Hospital
2016-2018
Recently, a great deal of physical equipment has been linked to the Internet Things (IoT) by use Radio Frequency Identification (RFID) technology. Moreover, security is primary concern for RFID-enabled IoT devices. In order prevent risks, mutual authentication vital step. The majority protocols are resource-intensive and computationally expensive implement. Hence, low power lightweight hardware implementable protocol well suited RFID enabled resource contrained This paper designed novel...
In this paper, we proposed High Performance Error Tolerant Adders (HPETA) which have an efficient design and quality metrics for inexact computing applications. To achieve high performance, Multiplexer Based Approximate Full (MBAFA) are in the inaccurate part of HPETA design. speed, energy area efficiency been achieved by critical path delay reduction number gate-level logic reduction. The performances MBAFA investigated comparing its area, power accuracy parameters with those other existing...
Foods are very essential for living beings providing energy, development and preserve their existence. It plays a vital role in promoting health preventing illness. Nowadays, many people suffered from obesity, they tend to maintain body weight by consuming sufficient number of calories routine life. In this research, novel Modified Deep Learning-based Food Item Classification (MDEEPFIC) approach has been proposed categorize the different food items dataset with calorie values. Initially,...
Medical abnormalities in human body are often reflected by raise temperature at various areas the body. With requirement of reliable non-invasive on increase Infrared Thermal Image is an effective aiding monitoring and diagnosing medical abnormalities. Existing research has applied effectively for conditions like breast cancer screening, diabetes peripheral vascular disorder, Risk Assessment Treatment Monitoring. cameras capable capturing variations, these variations can lead to significant...