Role of 5G and Future Connectivity in MIoT A. Vasuki, Vijayakumar Ponnusamy, Nemanja Zdravkovic Medical Internet of Things Perspectives Impact and Challenges, 2026 The Internet of Things’ (IoT) quick development has revolutionized a number of industries by enabling the smooth integration of systems and devices, leading to notable gains in productivity, efficiency, and creativity. The implementation of networked devices that track, evaluate, and automate processes has made it possible for industries like manufacturing, healthcare, transportation, and smart cities to create an operational environment that is more data-driven and responsive. Unfortunately, the speed, latency, and connectivity constraints of existing wireless communication networks, especially 4G LTE, have prevented IoT applications from reaching their full potential.4G networks cannot reliably provide the extremely low latency and reliability of data transmission required by IoT-driven systems, such as remote medical devices or autonomous cars. With the advent of 5G technology, these constraints are addressed by the introduction of Massive Machine-Type Communication (mMTC), Enhanced Mobile Broadband (eMBB), and Ultra-Reliable Low-Latency Communication (URLLC), each of which is customized to meet particular IoT requirements. Many IoT devices can connect thanks to mMTC, bandwidth-intensive applications may use high-speed data thanks to eMBB, and mission-critical applications need near-instantaneous data transfer, which URLLC offers. In addition to its applications in a variety of industries, implementation challenges, and promising future prospects, this chapter explores the revolutionary impact of 5G in enhancing massive IoT connections.
A Comprehensive Review of Automated Learning Systems to Monitor the Pervasiveness of Musculoskeletal Pain Among Students in the Classroom Dilliraj Ekambaram, Vijayakumar Ponnusamy, Nemanja Zdravkovic Advanced AI Technologies for Improving Education Systems, 2026 Musculoskeletal pain is a problem in learning communities in more developing countries because of discomfort and inefficient use of resources in the educational system. Here, we present evidence from numerous studies on the prevalence of Musculoskeletal Disorder (MSD) among learning communities and relevant risk factors. More studies in classroom-based musculoskeletal disorder (CMSD) monitor human actions like hand raising, writing/ reading, talking to others, and sleeping on the desk. However, enhanced systems in assessing facial reactions and mobile phone usage are the other essential tasks to be investigated in the future. This review intends to provide recent advancements in artificial intelligence (AI) techniques to analyze the risk factors to avoid the prevalence of MSD among teaching and learning communities. In recent studies, deep Neural Networks (DNN), complex Convolutional Neural Networks (CNN) structures, and Machine learning techniques are the most widely used AI-based systems. As a result of the review, it is advised that at-risk learning communities be given functional training, access to psychological treatments, and classrooms/ workplaces that are ergonomically designed.
Diagnosis of Schizophrenia Using Multimodal Data and Classification Using the EEGNet Framework Nandini Manickam, Vijayakumar Ponnusamy, Arul Saravanan Diagnostics, 2025 Background/Objectives: In recent years, people have been facing a lot of difficulties in handling stress, emotions, social, and behavioral issues, which have led to severe mental disorders. Schizophrenia is one disorder that requires more attention. This disorder is characterized by positive or psychotic symptoms, negative symptoms, and cognitive symptoms, which makes diagnosis and treatment complicated. The main objective is to identify the degree of severity of symptoms through multimodal data and classify them using the EEGNet framework. Methods: Multimodal data are collected. To identify the severity of symptoms of schizophrenia, initial screening is performed through assessment tools such as the Positive and Negative Symptoms Scale (PANSS), Brief Negative Symptom Scale (BNSS), Scale for Assessment of Negative Symptoms (NSA-16), and Scale for Assessment of Positive Symptoms (SAPS). Designed photo elicitation and VR box video stimuli are used for data collection. The patients are asked to express their thoughts upon viewing photos shown through a photo elicitation task. The patients are given Virtual Reality (VR) stimuli where videos will be played in a VR box and patients are asked to express their thoughts. Patients’ facial expressions and speech signals are captured through webcam while performing these tasks. Finally, the electrical activities of the patients are assessed through a 14-channel EEG headset. A novel method of fusing and embedding of normalized multimodality features into the EEGNet architecture is carried out that enables combined utilization of electrophysiological information from EEG and complementary behavioral–affective cues from other modalities, thereby enhancing classification performance while retaining the architectural efficiency of EEGNet. Results: The reliability and validity of the questionnaire are statistically analyzed and found to be α = 0.761. The sum of variance of PANSS is about 27.08, SAPS is about 28.61, and BNSS is about 29.92 with p < 0.05. This EEGNet model displays an accuracy of 0.99, precision of 0.99, recall of 0.98, and F1-score of 0.99 for healthy and a precision of 0.98, recall of 0.99, and F1-score of 0.99 for schizophrenia-affected patients and ROC AUC of about 0.9989. Conclusions: This system proves to be a promising method for the diagnosis of schizophrenia and thereby enhances the performance of the system.
An improvement of level control of non-linear horizontal tank process using sliding mode controller Govinda Kumar Elumalai, Vijayakumar Ponnusamy Chemical Product and Process Modeling, 2025 The performance of proportional plus integral (PI) and proportional plus integral plus derivative (PID) controllers are investigated, using a horizontal tank liquid level as the control object. Additionally, sliding mode controller (SMC) is designed and suggested for the level control of horizontal tank process. Also, the closed loop responses of PI, PID and SMC are analyzed in MATLAB and the response of the horizontal tank model are obtained in different set-point levels. This work presents a SMC approach that improves control accuracy, set-point tracking and robustness in level control of horizontal tank process, where traditional and existing PID controllers are less effective. These results demonstrate that the designed SMC controller markedly reduces settling time and also completely eliminate the peak overshoot compared with responses of PI and PID controllers, and similarly minimizes the values of integral of absolute error (IAE) and integral of squared error (ISE). These findings underscore that SMC provides superior performance compared to PI and PID controllers. Furthermore, SMC offers an improved closed loop performance of level control of non-linear horizontal tank process. It also provides more efficient and stable system responses.
Blockchain technology for evidence integrity Vijayakumar Ponnusamy, Nandini Manickam, Arivazhagan N Forensic Intelligence and Deep Learning Solutions in Crime Investigation, 2025 Forensic science plays a crucial role in investigating crime events through scientific methods. It collects evidence based on fingerprints and DNA analysis that must be presented in court for judgment. It faces difficulties in investigating the data between interconnected devices and also faces data privacy and security issues. Blockchain technology provides solutions by creating immutable and transparent records through a chain of interconnected blocks. Since it creates a copy of transactions and makes it available for all the nodes in the chain, modifying or deleting a transaction becomes difficult. This chapter discusses the role of blockchain in enhancing data privacy and security in evidence integrity and also discusses the various techniques, advantages, and challenges faced by blockchain in cyber forensics.
Real-Time Error Analysis of Exercise Posture for Musculoskeletal Disorder – A Machine Vision Approach Ceur Workshop Proceedings, 2025
Rice quality analysis using thermal images and Deep learning algorithm Ceur Workshop Proceedings, 2025
An Interference Cancelation and Signal Decoding Method for Non-orthogonal Multiple Access Based on Deep Learning A. Vasuki, Vijayakumar Ponnusamy IETE Journal of Research, 2025 In wireless communication, spectral efficiency is one of the key performance parameters. The available limited resources must be effectively shared among different applications. Due to the tremendous demand for wireless applications, an effective technique could be used for sharing the resources (time/frequency). Non-orthogonal Multiple Access (NOMA), is a wireless network technique aimed at boosting spectral efficiency. In NOMA, Users in the downlink have received a super-imposed signal from a Base Station (BS) with varying power allocations. Depending on the power allocation, the receiver employs interference cancelation techniques to decode its own data. The effectiveness of interference cancelation hinges on achieving a perfect channel condition, which is challenging to achieve in practical scenarios. This study introduces an unsupervised Deep Learning (DL) approach known as autoencoder, aimed at interference cancelation to ensure signal decoding from super-imposed signal. In contrast to the traditional approach, simulation results of the proposed structure show that the DL-based receiver achieves superior performance in correctly decoding the signal.
Blockchain Application in Industry 5.0 D. Saveetha, Vijayakumar Ponnusamy, Nemanja Zdravković, S.M. Nandini Artificial Intelligence Enabled Digital Twin for Smart Manufacturing, 2025
Comprehensive Analysis of IoT Security Concerns and Mitigation Strategies Based on the Influence of Current Trends Ceur Workshop Proceedings, 2025
Message from the Conference Chair International Conference on Smart Systems for Electrical Electronics Communication and Computer Engineering Icsseec 2024 Proceedings, 2024
Review on State-of-Art in Insulin Pump Design and Development V.K.R.Rajeswari Satuluri, Vijayakumar Ponnusamy, Sri Harsha Polineni, Venu Krithik Bhogavelli 2023 Intelligent Computing and Control for Engineering and Business Systems Iccebs 2023, 2023
Overview of immersive environment exercise pose analysis for self-rehabilitation training of work-related musculoskeletal pains Technologies for Healthcare 4 0 from AI and Iot to Blockchain, 2023
FPGA realisation of multiplierless FIR filter architectures P.J. Britto, J.V.S.P. Rani, A. Selestin Soundarya, B. Vineeth, P. Vijayakumar 2015 3rd International Conference on Signal Processing Communication and Networking Icscn 2015, 2015
Intelligent control using neural networks & reinforcement learning International Journal of Applied Engineering Research, 2015
Distribution network reconfiguration for loss minimisation using differential evolution algorithm Arpn Journal of Engineering and Applied Sciences, 2015
Power quality enhancement in distributed energy resources using virtual instrumentation International Journal of Applied Engineering Research, 2015
Performance assessment of direct and indirect current control strategies for shunt active power filter Arpn Journal of Engineering and Applied Sciences, 2015
A novel approach for a high performance lossless cache compression algorithm Arpn Journal of Engineering and Applied Sciences, 2015
Improved neural network training algorithm for classification of compressed and uncompressed images Journal of Theoretical and Applied Information Technology, 2014
Pipelined architecture for lossy image compression using hyper analytic wavelet International Review on Computers and Software, 2014
Optimal capacitor placement of distorted distribution system by teaching-learning algorithm with backward- forward sweep harmonic load flow International Journal of Applied Engineering Research, 2014
Optimization of cost of energy of real time Renewable energy system feeding commercial load case study: A textile show room in Coimbatore, India Life Science Journal, 2013
Bio inspired algorithm for PID controller tuning and application to the pulp and paper industry Sensors and Transducers, 2012
Optimization, simulation and modeling of renewable electric energy system with HOMER International Journal of Applied Engineering Research, 2012
Controller tuning for industrial process-A soft computing approach International Journal of Advances in Soft Computing and Its Applications, 2012
Soft computing based PID controller Design for Consistency Control in Papermaking IPPTA Quarterly Journal of Indian Pulp and Paper Technical Association, 2012
A particle swarm optimization for image segmentation in multi application smart cards European Journal of Scientific Research, 2012
Comparative study of hybrid photovoltaic-fuel cell system/hybrid wind-fuel cell system for smart grid distributed generation system IEEE Proceedings of the International Conference on Emerging Trends in Science Engineering and Technology Recent Advancements on Science and Engineering Innovation Incoset 2012, 2012
Tuning of a PID controller using soft computing methodologies applied to basis weight control in paper Machine Palpu Chongi Gisul Journal of Korea Technical Association of the Pulp and Paper Industry, 2011
Soft computing based PID controller tuning and application to the pulp and paper industry Sensors and Transducers, 2011
Energy efficient charge recovery for positive feedback adiabatic logic IETE Technical Review Institution of Electronics and Telecommunication Engineers India, 2007
Performance optimization of CMOS circuits using retiming algorithm with stepwise charging Modelling Measurement and Control A, 2006
Energy efficient charge recovery for positive feedback adiabatic logic Modelling Measurement and Control A, 2006
RECENT SCHOLAR PUBLICATIONS
Hybrid WbOA–APINN framework for sustainable and intelligent energy management in renewable microgrids with hybrid energy storage P Jegadeeshkumar, P Vijayakumar, P Santhosh, A Kumar, G Gatto Electric Power System Research 252 (10.1016/j.epsr.2025.112349) , 2026 2026 Citations: 2
Real-Time Smart Surveillance and Enforcement for Dust throw Detection and Identity Recognition Using YOLO 12 and SA-FaceXNet: V. Tiruvikraman et al. V Tiruvikraman, D Selvakumar, P Vijayakumar Signal, Image and Video Processing 19 (12), 983 , 2025 2025 Citations: 2
Enriched lung cancer classification approach using an optimized hybrid deep learning approach M Naveenraj, P Vijayakumar springer Nature 15 , 2025 2025 Citations: 6
IoT Based Fuel Track System R Jegadeeshkumar, P Vijayakumar 2025 International Conference on Next Generation Computing Systems (ICNGCS … , 2025 2025
Time-Domain Analysis of Landsman Converter-Fed BLDC Drives in Smart eMobility Systems for Clean Transportation P Santhosh, A Kumar, P Vijayakumar, P Surana, E Jamshidpour, G Gatto 2025 International Conference on Next Generation Computing Systems (ICNGCS … , 2025 2025
An improvement of level control of non-linear horizontal tank process using sliding mode controller E Govindakumar, P Vijayakumar Chemical Product and Process, DOI: 10.1515/cppm-2024-0080 , 2025 2025 Citations: 1
Adiabatic Logic: A Paradigm Shift in Power-Efficient VLSI Design for FIR Filters P Vijayakumar, K Bhuvaneswari, S Bhuvaneshwari 2024 International Conference on Smart Systems for Electrical, Electronics … , 2024 2024 Citations: 1
A Survey of Hierarchical Control Aspects of Hybrid Microgrid R Jegadeesh Kumar, P Vijayakumar 2024 International Conference on Smart Systems for Electrical, Electronics … , 2024 2024
Banana disease diagnosis using computer vision and machine learning methods A Athiraja, P Vijayakumar Journal of Ambient Intelligence and Humanized Computing, 1-1 , 2022 2022
Design and Assessment of Standalone Solar PV System for Home Appliances in Remote Areas R Jegadeesh Kumar, P Vijayakumar GIS Science Journal 9 (11), 1354-1365 , 2022 2022
Frequency Control Approach and Load Forecasting Assessment for Wind Systems K Suganya, P Vijayakumar Intelligent Automation & Soft Computing 35 (1), 972 - 982 , 2022 2022 Citations: 12
Banana plant disease diagnosis by image processing and soft computing techniques [articol] A Anthiraja, P Vijayakumar Timișoara: Editura Politehnica , 2021 2021
Single Axis Solar Tracking CR Balamurugan, P Vijayakumar, S Raghul Narayanaswamy, ... Annals of the Romanian Society for Cell Biology 25 (6), 994-998 , 2021 2021
Improving the Performance of Classifiers by Ensemble Techniques for the Premature Finding of Unusual Birth Outcomes from Cardiotocography M Manikandan, P Vijayakumar IETE Journal of Research, 1-11 , 2021 2021 Citations: 16
Banana Plant Disease Diagnosis By Image Processing and Soft Computing Techniques P Vijayakumar, A Athiraja Journal of Electrical Engineering 21 (1), 1 - 9 , 2021 2021
Quadcopter based emergency medikit delivery system for hill stations CR Balamurugan, SM Revathy, P Vijayakumar International Journal of Reconfigurable and Embedded Systems 9 (3), 201 , 2020 2020 Citations: 4
Implementation of an efficient FPGA architecture for capsule endoscopy processor core using hyper analytic wavelet-based image compression technique N Abdul Jaleel, P Vijayakumar International Journal of Data Analysis Techniques and Strategies 12 (3), 262-286 , 2020 2020 Citations: 2
Banana disease diagnosis using computer vision and machine learning methods A Athiraja, P Vijayakumar Journal of Ambient Intelligence and Humanized Computing , 2020 2020 Citations: 38
Hybrid renewable energy systems for power flow management in smart grid using an efficient hybrid technique K Sureshkumar, P Vijayakumar Transactions of the Institute of Measurement and Control, 1-20 , 2020 2020 Citations: 40
A novel impedance source fed H-type flying capacitor multilevel inverter CR Balamurugan, P Vijayakumar, T Sengolrajan Int. J. of Adv. in Appl. Sci. Vol 8 (3), 225-231 , 2019 2019
MOST CITED SCHOLAR PUBLICATIONS
A comparative study of PID controller tuning using GA, EP, PSO and ACO B Nagaraj, P Vijayakumar Journal of Automation, Mobile Robotics and Intelligent Systems 5 (2), 42-48 , 2011 2011 Citations: 228
Deep Belief Network enhanced Intrusion Detection System to Prevent Security Breach in the Internet of Things B Nagaraj, R Arun Kumar, D Pelusi, P Vijayakumar Internet of Things, https://doi.org/10.1016/j.iot.2019.10011 , 2019 2019 Citations: 141
Power flow management in micro grid through renewable energy sources using a hybrid modified dragonfly algorithm with bat search algorithm K Sureshkumar, P Vijayakumar Energy – The International Journal 181, 1166-1178 , 2019 2019 Citations: 82
Experimental Investigations on Ant Colony Optimized PI Control Algorithm for Shunt Active Power Filter to Improve Power Quality A Sakthivel, P Vijayakumar, A Senthilkumar, L Lakshminarasimman, ... Control Engineering Practice 42, 153-169 , 2015 2015 Citations: 72
Subthreshold Performance of gate Engineered FinFET devices and circuit with high-k dielectrics D Nirmal, P Vijayakumar, DM Thomas, BK Jebalin, N Mohankumar Microelectronics Reliability 53, 499-504 , 2013 2013 Citations: 50
Hybrid renewable energy systems for power flow management in smart grid using an efficient hybrid technique K Sureshkumar, P Vijayakumar Transactions of the Institute of Measurement and Control, 1-20 , 2020 2020 Citations: 40
Subthreshold analysis of nanoscale FinFETs for ultra low power application using high-k Materials D Nirmal, P Vijayakumar, P Samuel, BK Jebalin, N Mohankumar International Journal of Electronics 100 (6), 803-817 , 2013 2013 Citations: 39
Separating Heart Sound from Lung Sound Using LabVIEW TEA Khan, P Vijayakumar International Journal of Computer and Electrical Engineering 2 (3), 1793-8163 , 2010 2010 Citations: 39
Banana disease diagnosis using computer vision and machine learning methods A Athiraja, P Vijayakumar Journal of Ambient Intelligence and Humanized Computing , 2020 2020 Citations: 38
Nanoscale tri gate MOSFET for Ultra low power applications using high-k dielectrics D Nirmal, P Vijaykumar, D Joy, BK Jebalin, NM Kumar Nanoelectronics Conference (INEC), 2013 IEEE 5th International, 12-19 , 2013 2013 Citations: 37
NAND GATE USING FINFET FOR NANOSCALE TECHNOLOGY D Nirmal, P Vijayakumar, S Jebaraj International Journal of Engineering Science and Technology 2 (5), 1351-1358 , 2010 2010 Citations: 34
Bio Inspired Algorithm for PID Controller Tuning and Application to the Pulp and Paper Industry B Nagaraj, P Vijayakumar Sensors and Transducers Journal, International Frequency Sensor Association … , 2012 2012 Citations: 32
Modeling, Simulation and Optimization of Hybrid Renewable Power System for Daily Load demand of Metropolitan Cities in India P Vijayakumar, K Balachander American Journal of Engineering Research (AJER) 2 (11), 174-184 , 2013 2013 Citations: 30
Economic Analysis, Modeling and Simulation of Photovoltaic Fuel Cell Hybrid Renewable Electric System for Smart Grid Distributed Generation System K Balachander, P Vijayakumar International Journal of Mechanical Engineering and Technology 3 (1), 179-186 , 2012 2012 Citations: 28
Nanosized high κ dielectric material for FINFET D Nirmal, B Nalini, P Vijayakumar Integrated Ferroelectrics 121 (1), 31-35 , 2010 2010 Citations: 28
Optimization of Cost of Energy of Real Time Renewable Energy System Feeding Commercial Load Case Study: A Textile Show Room in Coimbatore, India’ K Balachander, P Vijayakumar Life Science Journal 10 (7), 839-847 , 2013 2013 Citations: 25
Modeling, Simulation and Optimization of Hybrid Renewable Energy Systems in Technical, Environmental and Economical Aspects: Case Study, Pichanur Village, Coimbatore, India P Vijayakumar, K Balachander International Journal of Applied Environmental Sciences 8 (16), 2035-2042 , 2013 2013 Citations: 23
Analysis of Dual gate MOSFETs using high k dielectrics D Nirmal, P Vijayakumar, DM Patrick Chella Samuel, Thomas, ... 3rd International Conference on Electronics Computer Technology (ICECT … , 2011 2011 Citations: 23
Nanoscale Channel Engineered double gate MOSFET for mixed signal applications using high-k dielectric D Nirmal, P Vijayakumar, K Shruti, N Mohankumar International Journal of Circuit Theory and Applications 41, 608-618 , 2013 2013 Citations: 22
Modeling and Simulation of VSDFIG and PMSG Wind Turbine System K Balachander, S Kuppusamy, P Vijayakumar International Journal of Electrical Engineering 5 (2), 111-118 , 2012 2012 Citations: 21
