Engineering, Control and Systems Engineering, Instrumentation
14
Scopus Publications
136
Scholar Citations
6
Scholar h-index
4
Scholar i10-index
Scopus Publications
Sustainable electronic waste management framework for academic institutions in India S. Valai Ganesh, V. Suresh, S. Rajakarunakaran, V. Suryakumar Scientific Reports, 2025 Technology is increasingly used in schools to teach, study, and organise. Technology use has increased e-waste. As "electronic waste" or "e-waste," old laptops, desktops, projectors, and other devices contain hazardous components that can harm the environment if discarded improperly. This study examines the challenges learning institutions face in handling e-waste without compromising efficiency, including the need to stay current, insufficient funds to repair equipment, and a lack of knowledge on how to dispose of it. To overcome these obstacles, this article proposed a shared solution: a sustainable collaboration to manage electronic waste. e-waste data collection and analysis are the foundation of this framework. Of 452 electrical products, 32.1% were older than 5 years and 34.1% needed repair or replacement. On-site recycling offers a 90% material recovery rate and a 10,000 yearly profit after operational expenses, making it superior than external recycling (210,000 vs. 7,000). Real-time monitoring, automated reporting, and decision-support tools make the suggested concept reproducible for sustainable e-waste management in learning institutions. The suggested framework would reduce carbon emissions by 5-7 metric tonnes and salvage 15 tonnes of valuable materials annually. It also estimates the cost of delivering electronic waste to merchants and compares it to the cost of constructing an e-waste recycling centre in a learning institution. By working together, educational institutions may lessen their environmental effect and be responsible technology guardians for future generations.
Predictive Analysis and Data-Driven Approaches for Developing Sustainable Municipal Solid Waste Management Strategies in Smart Cities: An Urban Analysis of Madurai Valai Ganesh S., Suresh V., Godwin Barnabas S. Iranian Journal of Chemistry and Chemical Engineering, 2025 The development of predictive models for waste handling remains the primary barrier to sustainable waste management in Madurai Smart City for accurate policy formulation. The research brought together quantitative data collected through stakeholder interviews of waste policies and quantitative methods measuring waste collection rates using population projections and machine learning algorithms. XG Gradient Boosting (a machine learning technology) generated the most precise outcomes when we evaluated our models because it forecasted organic waste with a coefficient of determination (R²) of 0.91 and inorganic waste with R² = 0.91, surpassing traditional Linear Regression models that reported organic waste prediction accuracy at R² = 0.867 and inorganic waste prediction at R² = 0.577. The temporal evaluation revealed seasonal patterns. Cultural events generated waste volumes that were 30% higher than normal yearly rates. The spatial assessment results show that Zones 1 and 4 are waste generation priority areas requiring a 75% capacity expansion during the next decade. Waste production in Madurai is projected to reach 1,000 metric tons each day by 2030, representing an increase of 54% from the present levels. An assessment of the findings indicates that the processing capacity should be expanded to 350 Tons Per Day (TPD), and waste segregation policies must implement zone-based rules while optimizing delivery routes to decrease vehicle fuel usage by 15-20%. The data-based structure provides the groundwork for constructing enduring waste management facilities throughout Madurai and similar fast-developing urban territories.
Advancements in mechatronic systems for manufacturing, robotics, and automation Yaskawa Motoman GP12 robot applications S. Valai Ganesh, Vikram Suresh, S. Godwin Barnabas, S. Rajakarunakaran Mechatronics Concepts Tools Applications and New Trends, 2025 Modern mechatronics has transformed automation, robotics, and production, resulting in higher accuracy, flexibility, and efficiency. This chapter examines the evolution of mechatronic systems with particular reference to the manufacturing applications of the Yaskawa Motoman GP12 robot. An overview of the capabilities of the Motoman GP12 robot is given at the beginning of this chapter. The discussion of mechanical engineering in the manufacturing sector is then expanded upon. The book then discusses the application of bots in flexible production systems, with a particular emphasis on modular mechatronic systems and reconfigurable manufacturing. This case study demonstrates how to set up a versatile production system using the Motoman GP12 robot. This chapter contains more information about the programming, control, and mechatronic design issues associated with integrating the Motoman GP12 robot into the manufacturing process. The effectiveness of a production technique using the GP12 robot is tested in a controlled trial. The use of robots in high-precision manufacturing procedures is examined in this book. It emphasises potential issues as well as upgraded motors, sensors, and control systems. A Motoman GP12 robot assembly method is planned and verified in this case study. The technology that enables the Motoman GP12 robot to be used in complicated mechatronic production is the main topic of discussion. Among these technologies are wireless communication protocols, machine learning algorithms for adaptive control, and sensor fusion methods. Examining future trends and challenges, this chapter discusses Industry 4.0, the potential impact of AI and the IoT on mechatronic systems using the Motoman GP12 robot, and the challenges in implementing advanced mechatronic solutions in industry. The Motoman GP12 robot is highlighted in this chapter together with important results regarding the development and application of mechatronic systems in the manufacturing industry. It also offers ideas for future studies and developments.
Innovative solid waste management strategies for smart cities in Tamil Nadu: challenges, technological solutions, and sustainable prospects S. Valai Ganesh, V. Suresh, S. Godwin Barnabas, S. Rajakarunakaran Discover Applied Sciences, 2024 This study focuses on the challenges, technological solutions, and sustainability prospects of solid waste management practices in eleven smart cities in Tamil Nadu, India, through a case study. It was through a systematic review and stakeholder interviews that we assessed the current waste management infrastructure, collection, and processing capabilities in these cities. The analysis concluded that measures for waste segregation remain poor, with collection efficiencies ranging between 80 and 100% and segregation rates across the sampled cities from below 50% to 100% for varying cities. Constraints also include poor infrastructure, lack of public awareness, and financial problems. We develop an integrated waste management framework that advocates source segregation, localized processing, and waste-to-energy plans. The study has shown that the efficient use of smart technologies, the development of public–private alliances, and the principles of the circular economy would significantly enhance the effectiveness of waste management practices in the smart cities of Tamil Nadu. Policy makers and urban planners focused on ameliorating municipal solid waste management systems in fast-growing urban areas can benefit from these findings.
Building smart bot designs for library assistance Robotics and Automation in Healthcare Advanced Applications, 2024
Realization of PIC-Controlled hardware and Simulink model of frequency regulation using HHO algorithm Meenakshi Sundaram Ulaganathan, Rathinam Muniraj, Vaikundam Suresh, Sundararajan Edwin Raja, Thankaswamy Jarin Aip Conference Proceedings, 2024 In this paper is used to maintain the turbine frequency in the desired range. Here the requirements of the load and generation is monitored constantly. In this hardware and software models are proposed to control the reactive power and real power for the control of frequency continuously. In the proposed scheme, a hardware model consisting of varying real power and reactive power is realized for continuous frequency control. In today's power plants, the valves are generally opened and closed when the frequency exceeds the tolerance limit. This creates a high stress on the turbine fluid. The regulating valve eliminates the stress of the turbine by closing the valve and opening the valve. Here the Proportional and Integral (PI) based Harris Hawks Optimization (HHO) is used to eliminate the frequency deviation. through the Proportional and Integral (PI) based Harris Hawks Optimization (HHO).
Transforming biomedical applications through smart sensing and artificial intelligence Harini Akshaya T. J., Suresh V., Carmel Sobia M. Deep Neural Networks for Multimodal Imaging and Biomedical Applications, 2020 Electronic health records (EHR) have been adopted in many countries as they tend to play a major role in the healthcare systems. This is due to the fact that the high quality of data could be achieved at a very low cost. EHR is a platform where the data are stored digitally and the users could access and exchange data in a secured manner. The main objective of this chapter is to summarize recent development in wearable sensors integrated with the internet of things (IoT) system and their application to monitor patients with chronic disease and older people in their homes and community. The records are transmitted digitally through wireless communication devices through gateways and stored in the cloud computing environment.
Characterization of defects on ferromagnetic tubes using magnetic flux leakage V. Suresh, A. Abudhahir, Jackson Daniel IEEE Transactions on Magnetics, 2019 Detection of the defects and estimation of the defect’s parameters on the inspected specimen are complicated tasks in process industries. In this paper, a radial component of the magnetic flux leakage (MFL) is employed to detect and estimate the parameters of a circular defect on the outer surface of a ferromagnetic tube. The magnetizer arrangement with a Hall sensor is used to acquire the radial component of MFL, defects are estimated. The proposed estimation procedure is verified by preparing analytical, numerical, and experimental studies. The volumetric analyses were performed on three study cases. A good correlation is observed among the three studies. Estimation of the defect parameter in the proposed method yields good efficiency.
Sustainable electronic waste management framework for academic institutions in India S Valai Ganesh, V Suresh, S Rajakarunakaran, V Suryakumar Scientific Reports 15 (1), 40550 , 2025 2025.0 Citations: 1
Advancements in mechatronic systems for manufacturing, robotics, and automation: Yaskawa Motoman GP12 robot applications SV Ganesh, V Suresh, SG Barnabas, S Rajakarunakaran Mechatronics, 116-140 , 2025 2025.0
systems for manufacturing, robotics, and automation SV Ganesh, V Suresh, SG Barnabas Mechatronics: Concepts, Tools, Applications, and New Trends, 116 , 2025 2025.0
Predictive Analysis and Data-Driven Approaches for Developing Sustainable Municipal Solid Waste Management Strategies in Smart Cities: An Urban Analysis of Madurai S Valai Ganesh, V Suresh, S Godwin Barnabas Iran. J. Chem. Chem. Eng.(IJCCE) Vol 44 (07) , 2025 2025.0
Transforming Student Assessments in the Era of Machine Learning: Balancing Innovation and Ethics SV Ganesh, V Suresh, S Rajakarunakaran, L Ganesan, V Suryakumar Driving Quality Education Through AI and Data Science, 383-408 , 2025 2025.0
Innovative solid waste management strategies for smart cities in Tamil Nadu: challenges, technological solutions, and sustainable prospects SV Ganesh, V Suresh, SG Barnabas, S Rajakarunakaran Discover Applied Sciences 6 (12), 660 , 2024 2024.0 Citations: 7
Predictive analysis and data-driven approaches for developing sustainable municipal solid waste management strategies in smart cities: A case study of madurai SV Ganesh, V Suresh, SG Barnabas 2024.0 Citations: 9
Transforming Biomedical Applications Through Smart Sensing and Artificial Intelligence HA TJ, V Suresh Deep Neural Networks for Multimodal Imaging and Biomedical Applications, 186-204 , 2020 2020.0
An Extensive Study on the Optimization Techniques and Its Impact on Non-linear Quadruple Tank Process TJ Harini Akshaya, V Suresh, M Carmel Sobia International Conference on Information Management & Machine Intelligence … , 2019 2019.0
Characterization of defects on ferromagnetic tubes using magnetic flux leakage V Suresh, A Abudhahir, J Daniel IEEE Transactions on Magnetics 55 (5), 1-10 , 2019 2019.0 Citations: 14
Theoretical Analysis of the Rectangular Defect Orientation using Magnetic Flux Leakage JS Alaric, V Suresh, A Abudhahir, MC Sobia, M Baarkavi Measurement Science Review 18 (1), 28-34 , 2018 2018.0 Citations: 6
Development of magnetic flux leakage measuring system for detection of defect in small diameter steam generator tube V Suresh, A Abudhahir, J Daniel Measurement 95, 273-279 , 2017 2017.0 Citations: 51
Dipole model to predict the rectangular defect on ferromagnetic pipe V Suresh, A Abudhair Journal of Magnetics 21 (3), 437-441 , 2016 2016.0 Citations: 12
An analytical model for prediction of magnetic flux leakage from surface defects in ferromagnetic tubes V Suresh, A Abudhahir Measurement Science Review 16 (1), 8-13 , 2016 2016.0 Citations: 35
Frequency Response based PID Controller Design with Set point Filter N Chermakani, V Suresh, A Abudhahir, P Madan International Journal of Computer Applications 975, 8887 , 2013 2013.0 Citations: 1
Simple Algorithm for the Magnetic Field Computation in Bobbin Coil Arrangement V Suresh, VK Gopperundevi, A Abudhahir, R Antonysamy, K Muthukkutti
MOST CITED SCHOLAR PUBLICATIONS
Development of magnetic flux leakage measuring system for detection of defect in small diameter steam generator tube V Suresh, A Abudhahir, J Daniel Measurement 95, 273-279 , 2017 2017.0 Citations: 51
An analytical model for prediction of magnetic flux leakage from surface defects in ferromagnetic tubes V Suresh, A Abudhahir Measurement Science Review 16 (1), 8-13 , 2016 2016.0 Citations: 35
Characterization of defects on ferromagnetic tubes using magnetic flux leakage V Suresh, A Abudhahir, J Daniel IEEE Transactions on Magnetics 55 (5), 1-10 , 2019 2019.0 Citations: 14
Dipole model to predict the rectangular defect on ferromagnetic pipe V Suresh, A Abudhair Journal of Magnetics 21 (3), 437-441 , 2016 2016.0 Citations: 12
Predictive analysis and data-driven approaches for developing sustainable municipal solid waste management strategies in smart cities: A case study of madurai SV Ganesh, V Suresh, SG Barnabas 2024.0 Citations: 9
Innovative solid waste management strategies for smart cities in Tamil Nadu: challenges, technological solutions, and sustainable prospects SV Ganesh, V Suresh, SG Barnabas, S Rajakarunakaran Discover Applied Sciences 6 (12), 660 , 2024 2024.0 Citations: 7
Theoretical Analysis of the Rectangular Defect Orientation using Magnetic Flux Leakage JS Alaric, V Suresh, A Abudhahir, MC Sobia, M Baarkavi Measurement Science Review 18 (1), 28-34 , 2018 2018.0 Citations: 6
Sustainable electronic waste management framework for academic institutions in India S Valai Ganesh, V Suresh, S Rajakarunakaran, V Suryakumar Scientific Reports 15 (1), 40550 , 2025 2025.0 Citations: 1
Frequency Response based PID Controller Design with Set point Filter N Chermakani, V Suresh, A Abudhahir, P Madan International Journal of Computer Applications 975, 8887 , 2013 2013.0 Citations: 1
Advancements in mechatronic systems for manufacturing, robotics, and automation: Yaskawa Motoman GP12 robot applications SV Ganesh, V Suresh, SG Barnabas, S Rajakarunakaran Mechatronics, 116-140 , 2025 2025.0
systems for manufacturing, robotics, and automation SV Ganesh, V Suresh, SG Barnabas Mechatronics: Concepts, Tools, Applications, and New Trends, 116 , 2025 2025.0
Predictive Analysis and Data-Driven Approaches for Developing Sustainable Municipal Solid Waste Management Strategies in Smart Cities: An Urban Analysis of Madurai S Valai Ganesh, V Suresh, S Godwin Barnabas Iran. J. Chem. Chem. Eng.(IJCCE) Vol 44 (07) , 2025 2025.0
Transforming Student Assessments in the Era of Machine Learning: Balancing Innovation and Ethics SV Ganesh, V Suresh, S Rajakarunakaran, L Ganesan, V Suryakumar Driving Quality Education Through AI and Data Science, 383-408 , 2025 2025.0
Transforming Biomedical Applications Through Smart Sensing and Artificial Intelligence HA TJ, V Suresh Deep Neural Networks for Multimodal Imaging and Biomedical Applications, 186-204 , 2020 2020.0
An Extensive Study on the Optimization Techniques and Its Impact on Non-linear Quadruple Tank Process TJ Harini Akshaya, V Suresh, M Carmel Sobia International Conference on Information Management & Machine Intelligence … , 2019 2019.0
Simple Algorithm for the Magnetic Field Computation in Bobbin Coil Arrangement V Suresh, VK Gopperundevi, A Abudhahir, R Antonysamy, K Muthukkutti
