RAJALINGAM
@saveetha.ac.in
Associate Professor
Saveetha Engineering College
RESEARCH INTERESTS
Energy Management
Smart Grid
Renewable Energy
Power Quality
Power Electronics
Electric vehicle Technologies
Scopus Publications
Scopus Publications
S. Rajalingam, S. Kanagamalliga, K. Sakthi Priya, and Natarajan Karuppiah
Frontier Scientific Publishing Pte Ltd
<p class="Abstract">The concept of using Unmanned Aerial Vehicles (UAVs) for package delivery is gaining momentum in recent times. These Drones are capable of transporting various types of packages, including medical supplies, food, and other goods to remote or hard-to-reach areas. With the increasing demand for rapid deliveries, Drones have become a viable solution for delivering items such as blood products, vaccines, pharmaceuticals, and medical samples. The use of Drones in food delivery is also on the rise, with pizzas, tacos, and frozen beverages being some of the popular items delivered via Drones. To ensure accurate and timely deliveries, this proposed Drone delivery system would employ GPS technology to track the package’s location and reach its intended destination. To optimize the efficiency of the system, the Drone would pick up the package from the nearest warehouse to the delivery location, and both the customer and the dispatcher would have access to track the package’s live location. In this proposed system, the Drone would pick up the package from the hub and proceed to the consumer’s location, dropping the package once the consumer provides the correct OTP. To enhance the system’s performance, intelligent control methods and smart sensors are used. Additionally, this system would also have the capability of verifying package delivery via facial recognition technology when handling confidential packages. The Intelligent controllers, sensors and Actuator makes the Drone delivery more optimal.</p>
Karuppiah Natarajan, R. Karthikeyan, and S. Rajalingam
Wiley
S Kanagamalliga, Basam Bala Sai Krishna, R Abishek, and S Rajalingam
IEEE
In an era of rapid advancements in computer vision, the field of real-time face detection within video scenes has witnessed remarkable progress, igniting applications across diverse sectors like surveillance, human-computer interaction, and augmented reality. This paper presents an exhaustive review of recent strides in this domain, embracing an extensive spectrum of methodologies, techniques, and applications. The review commences by delving into the core concepts underpinning face detection, explicating the multifaceted challenges posed by fluctuating lighting, diverse poses, expressions, and potential obstructions. A meticulous exploration of both classical and contemporary approaches unfolds, with classical methods such as the Viola-Jones cascade, celebrated for its historical significance and enduring utility, alongside an in-depth analysis of cutting-edge deep learning models, including convolutional neural networks (CNNs), region-based CNNs, and one-shot detectors, revealing the architectures and mechanisms that empower these models to achieve unprecedented levels of accuracy and speed. Additionally, the research offers a discerning assessment of benchmark datasets and evaluation metrics, instrumental in impartially gauging and contrasting diverse methodologies, leveraging the ascendancy of annotated datasets for data-driven model refinement and validation. Contemporary applications that leverage real-time face detection are explored, illuminating its pivotal role in surveillance systems, video analytics, and human-computer interaction, underscored by its integration with allied computer vision tasks like facial recognition and emotion analysis, accentuating its interdisciplinary essence and real-world pertinence. This research not only navigates through recent breakthroughs in real-time face detection within video scenes but also equips researchers and practitioners with invaluable insights into the potentials, limitations, and future trajectories in this dynamic field, poised for further innovation driven by increasingly sophisticated algorithms and the burgeoning computational resources at our disposal, thereby resonating across diverse domains.
Rajalingam S, Adinkrah-Appiah K, Karuppiah N, and Vasuki S
IEEE
Electric vehicles (EVs) are increasingly recognized as a viable means to reduce greenhouse gas emissions and decrease reliance on traditional fossil fuels within the transportation industry. The powertrain system of an EV is pivotal in influencing the vehicle's overall effectiveness and efficiency. The improvement of EV powertrains encompasses efforts to boost energy conversion efficiency, optimize power output, and extend the vehicle's operational range. The proposed article discusses several key optimization techniques such as motor control algorithms, battery management systems, regenerative braking, and power electronics optimization. The objective of this article is to enhance the distance traveled by a vehicle by determining the optimal drivetrain configuration. This setup is designed to reduce battery discharges while maintaining optimal vehicle performance throughout a varied driving cycle. The genetic algorithm optimization technique is used in this article to determine the best drive configuration. The obtained simulation results validate the determination of the best configuration.
Kanagamalliga S, Gowri Nandini P, Yuvaraju T S, and Rajalingam S
IEEE
In a world reliant on smartphones, iPods, and smart watches, the persistent need for battery charging, particularly in areas devoid of electrical infrastructure, poses a formidable challenge. Solar power, a renewable energy source, emerges as a promising solution for mobile device charging, tapping into the sun's limitless energy potential. Despite its promise, solar energy has yet to become a dominant energy source for daily use. As technology continues to shrink the components within mobile devices, users have resorted to carrying spare batteries to address limited battery life. This study explores the integration of solar energy into the realm of mobile phone charging offering insights into the essential components required and the working principle behind solar-powered mobile chargers. This research work serves as a comprehensive guide to understanding the potential and mechanics of solar-powered mobile phone chargers, providing an eco-friendly and sustainable solution to the enduring dilemma of mobile device charging, particularly in regions lacking access to conventional power sources.
Kanagamalliga S, Kovalan P, Kiran K, and Rajalingam S
IEEE
Covering a spectrum of approaches from traditional methods to cutting-edge deep learning models, this comprehensive examination delves into the latest advancements in vehicle detection, recognition, and tracking through vision-based methodologies, offering a thorough analysis of their strengths, limitations, and realworld applications. Beginning with the evolution of vehicle detection methods, it explores traditional techniques like edge-based methods and motion segmentation approaches such as frame differencing, background subtraction, and optical flow, showcasing their efficacy in identifying moving vehicles and their historical significance in early traffic surveillance systems. Emphasizing the transformative impact of Convolutional Neural Networks (CNNs), particularly in challenging scenarios marked by occlusion and varying lighting conditions, the paper details how CNNs have revolutionized vehicle detection accuracy. Beyond detection, it examines vehicle recognition and classification techniques such as colour recognition, license plate recognition, logo recognition, and vehicle type classification, highlighting their practical applications in traffic analysis, security, and urban planning. The exploration extends to vehicle tracking strategies, encompassing model -based, shape -based, and feature based approaches, with a comparative analysis of tracking algorithms based on factors like accuracy, computational efficiency, and adaptability. This comprehensive research offers valuable insights for researchers, practitioners, and policymakers aiming to advance traffic surveillance systems and shape the future of urban mobility through vision-based vehicle analysis.
Latha R, Rohith Kumar S, Bharath Kumar S, Rajalingam S, and Nelson Tamizhnesan D
Elsevier BV
Anvesh Domakonda, Karuppiah Natarajan, and Rajalingam Sakthivelsamy
IEEE
Recently, the automobile industries are focusing on electrification to enhance electric mobility across the country thereby reducing the generation of greenhouse gases. Therefore, Electric vehicles and Hybrid Electric Vehicles are developed and available in today's market. In electric vehicles, charging the battery effectively is one of the key challenges faced and addressed by both producers and consumers. To overcome this challenge, a Suitable On-Board Charger (OBC) is proposed to enhance the charging system. In this paper, the key components of the proposed On-Board Charger are explained and analyzed. The modeling and analysis of the proposed On-Board Charger are performed using the MATLAB simulation tool. The obtained results show that the proposed On-Board Charger is used for recharging the batteries of Electric Vehicles effectively in the residential place and also in public places when parked at offices and shopping malls. This paper may also help beginners who would like to gain knowledge of in-vehicle electronics associated with the On-Board Charging system.
Julius Caesar Puoza and Rajalingam Sakthivelsamy
Japanese Society of Tribologists
The advent of smart materials and modern control theory has seen the rapid development of ultrasonic motors over the last decades. They have become promising precision driving components due to their unique piezoelectric transduction and friction drive mechanisms. This review summarizes the synthesis of the key technical aspects, research efforts, conclusions, and challenges that need to be highlighted concerning ultrasonic motor structural design and tribological performance. The analysis shows that the development of ultrasonic motor with new principles is in the ascendant. Simplifying the body structure, developing advanced friction contact models and life prediction models, developing new and environmentally friendly friction materials, and developing customized tribological testing devices are goals and tasks that should be considered in the future design of efficient ultrasonic motors.
S. Rajalingam, , S. Kanagamalliga, N. Karuppiah, Julius Caesar Puoza, , , and
Rajarambapu Institute of Technology
The virtual classroom teaching-learning, online meetings, and discussions are becoming most popular throughout the world due to the COVID-19 pandemic event. There is a need to enhance the engagement and thinking ability of the students during a virtual classroom using suitable tools. This study explores the perspective of engineering students and staff members towards virtual classroom teaching-learning in India and Ghana-West Africa. This study also proposes teaching-learning approaches to motivate students for effective engagement and thinking. As an outcome, problem-solving skills and necessary graduate attributes of the students will be developed and accomplished. The participants involved in the survey include 194 students and staff members from engineering colleges and universities in India and Ghana- West Africa. The questionnaire-based research method is used to collect the perspective of students and staff. The disciplines in engineering such as Electrical and Electronics Engineering, Mechanical Engineering, Civil Engineering, and Computer Engineering are considered for analysis. The survey gives the challenges and benefits of virtual learning faced by the students and staff members. It also gives the expectation of the students and staff doing a virtual meeting. The research findings show that peer interaction teaching-learning methodologies such as brainstorming, role plays, group discussion, case studies, animated videos, games, and activities are best suitable in a virtual classroom to overcome the challenges addressed by the students and staff members. Based on the analysis of the survey, ICTbased tools, and applications for incorporating interactive teaching-learning methodologies have been listed with strategies and approaches to motivate and engage the students effectively in a virtual classroom environment.
Rajalingam S. and Malathi V.
Elsevier BV
S. Rajalingam and V. Malathi
Springer International Publishing