Design and performance analysis of an optimised hybrid boost converter with coupled inductor for PV-based EV applications P. Kannan, K. Sakthidhasan, N. Sridhar, Revathi V International Journal of Electronics, 2026 A novel High Gain Hybrid Boost (HGHB) converter integrated with Coupled Inductor (CI) is specifically designed for Photovoltaic (PV)-based Electric Vehicle (EV) application systems in this work. The HGHB converter with CI aims to enhance energy efficiency and optimise power management in dynamic automotive environments. Significant innovation includes the incorporation of a coupled inductor to improve voltage conversion efficiency and the integration of a hybrid boost topology to achieve enhanced performance characteristics. The proposed converter offers advantages such as higher efficiency, improved power density and enhanced reliability for different system configurations. In addition, the research proposes an innovative Siberian Tiger-Zebra Optimised Proportional Integral (ST-ZO-PI) controller, specifically designed to maximise converter efficiency under varying operating conditions typical in PV-based EV systems. The MATLAB simulation platform is utilised for validating the effectiveness of HGHB converter with CI. Comparative analysis demonstrates significant enhancements in efficiency (96.8%) and performance metrics compared to conventional converter designs.
IEZ-Source Inverter Topology with Tuned PID Controller of Carrier SPWM Technique in Grid Connected System P. Kannan, S. Arockia Edwin Xavier Journal of Circuits Systems and Computers, 2024 Z-source inverters are used in controller applications, which offer higher performance than the buck-boost converter. This work presents the Improved Embedded Z (IEZ)-source inverter used for the impedance network. The Z-source inverter includes the switching topologies, so the double inductor is added to the EZ source inverter circuit. IEZ source inverter manages the Total Harmonic Distortion (THD), and the PID controller controls the inverter voltage. The Social Ski Driver (SSD) Optimization algorithm is used to tune the parameters of the PID controller. The harmonic content of the Z-source inverter is reduced by the carrier based sinusoidal Pulse Width Modulation (SPWM) technique. The Improved Embedded Z-source Inverter (IE-ZSI) is utilized to apply a grid-connected system. The inverters receive the power from the DC voltage and supply the grid-connected load with controllable voltage. The proposed work is implemented in the platform MATLAB/SIMULINK to evaluate the performance of the voltage across the capacitor, the voltage across the inductor, grid current and grid voltage. Inverter DC link voltage performance was compared to conventional Z-source inverters and embedded Z-source inverters. The proposed work achieved 1.52% THD compared with existing techniques.
An Efficient Access of Spectrum in Transmission Over Cognitive Radio Using Deep Learning Esakki Rajavel S, Malathy S, Kannan P, Bathrinath V, Udayakiran D, Santhoshwaran M 2nd International Conference on Emerging Research in Computational Science Icercs 2024, 2024 A CRN integrated with a synchronized wireless info and power transference (SWIPT) scheme. This network comprises a multi-antenna base station serving as the secondary transmitter, a designated data receiver substitute as the secondary headset, many registered prime operators operating in their respective spectrum bands, and several energy-harvesting receivers (EHRs). The base station provides both energy and information through its signals, and every EHR employs power piercing to excerpt energy since the established indication. Taking into account defective network state info at the information receiver, we originate a locked-system logical appearance for the privacy outage possibility of the network.
CNN-Based Automated Detection of Wax Coating on Apples M. Nagaraju Naik, D. Pratyusha, P. Kannan, K. Shilpa, M. Sandhyarani, G. Charles Babu Proceedings of the 4th International Conference on Ubiquitous Computing and Intelligent Information Systems Icuis 2024, 2024 Implementing precise and effective quality control measures during postharvest processing is essential for upholding the standards of agricultural products. Conventional approaches to evaluating wax coatings on apples, commonly utilized to improve glossiness and extend shelf life, frequently depend on laborintensive and subjective manual evaluations, resulting in inconsistencies and inefficiencies. This study introduces a CNN-based model aimed at automated detecting wax coatings on apples, thereby providing a robust and scalable solution to address existing gaps in the field. Utilizing a diverse dataset comprising high-resolution apple images has resulted in notable improvements, achieving an accuracy of 96.4% in the model's performance. Furthermore, the model demonstrates exceptional performance across critical metrics, achieving a precision of 95.9%, a recall of 96.5%, and an F1-score of 96.2%. Additionally, it results in an AUC-ROC of 0.98, highlighting its substantial discriminative capability. The multiclass classification approach effectively differentiates between the Uncoated, Thin Wax Coating, and Thick Wax Coating categories. However, some minor misclassifications are observed between the thin and thick coatings. The results show that the model can change post-harvest processing by reducing the need for manual work, making things more consistent, and making it easier to check quality in real-time. The proposed approach represents a notable advancement in modernizing agricultural quality control practices, enhancing efficiency and reliability throughout the supply chain.
Enhancing Potato Plant Disease Detection using CNNs with Transfer Learning: A Robust AI-Driven Approach K. Little Flower, P. Siva Padmini, Sk. Rabbani, Krishna Kishore Datti, P. Kannan, V. Vivekanandhan 8th International Conference on Electronics Communication and Aerospace Technology Iceca 2024 Proceedings, 2024 A crop of global importance, potatoes are particularly vulnerable to illnesses that can result in large losses for farmers. Conventional detection techniques, which depend on manual inspection, are frequently time-consuming and prone to human mistake. In order to overcome this, Transfer Learning was combined with Convolutional NeuralNetworks (CNNs) to create an improved disease detection method, utilizing pre-trained models like ResNet50 and VGG16. A collection of more than $\\mathbf{3 0, 0 0 0}$ high-resolution images of potato leaves, categorized into healthy and diseased classes, was used to evaluate the effectiveness of this technique. Through model optimization and data augmentation, the methodology yielded an accuracy of about $\\mathbf{9 9 \\%}$, much surpassing that of conventional models such as Random Forest and Support Vector Machines, which yielded approximately 88% and 85% accuracy, respectively. Furthermore, the model’s effectiveness and scalability were demonstrated by the application of Transfer Learning, which cut training time by almost 40%. This invention provided a reliable approach for early and accurate disease management in potato cultivation, improving accuracy over traditional methods by 11%. ResNet50: Residual Network 50 layers, VGG16: Visual Geometry Group 16 layers
A Modified 2:1 Multiplexer-Based Low Power Ternary ALU for IoT Applications S. Allwin Devaraj, D. Magdalin Mary, P. Kannan, S. Esakki Rajavel, Cynthia Anbuselvi Thangaraj, K. B. Gurumoorthy, Blanie Scrimshaw William Journal of Engineering Science and Technology Review, 2024 The ternary logic has a benefit over the binary logic which provides a secured solution to achieve a trade-off between the area and power of the design.However, from the structure of the ternary Aritmetic Logic Unit (ALU), it is clear that its architecture increases the area, propagation delay, and power consumption.To overcome this drawback, a loopback algorithm is proposed to achieve low power and high throughput Internet of Things (IoT) processors.The loopback algorithm reduces the number of processing stages in multipliers and adders which can significantly reduce area and power dissipation.The proposed 2:1 multiplexer-based approach reduces the need for a decoder and results in low power consumption.The proposed design will be implemented in Xilinx ISE 13.0 and simulation will be done in Modelsim.The modified Ternary ALU (TALU) performs finer than the previous TALU method.The number of registers used in this architecture is reduced by up to 25% than the existing system therefore there is a reduction in power dissipation.
Ball Bearing Fault by Feature Extraction and Fault Diagnosis method based on AI ML Algorithms P. Kannan, Neha S Proceedings 2022 6th International Conference on Intelligent Computing and Control Systems Iciccs 2022, 2022 The bearing is a very important part of rotating machinery because it has a very high failure rate. If the high failure rate in bearing would affect the entire performance of the machinery equipment. In this paper, we present a method for extracting ball-bearing fault features of the Ball Bearing fault. An algorithm for detecting bearing faults using Wavelet Packet Transforms (WPT). Wavelet Packet Transform is used to extract the bearing signal's time-frequency characteristic. Then the Statistical feature Extraction for rolling bearing. ML Algorithm model to recognize the healthy conditions of rotating machinery. The frequency-domaining signals are used to feed the input network. The proposed method is validated using data from Case Western Reserve University's bearing data center. This will demonstrate that both steady-state and unsteady-state situations can be successfully diagnosed by the machine learning algorithm. Instead of using traditional feature technology. The algorithm in this paper has improved defect diagnostics and feature extraction.
Demand-Forecasted Distribution Model for Reducing Micro Grid Outages Using Unified Transformer Learning AD Stalin Journal of Electrical Engineering & Technology, 1-19 , 2026 2026
Design and performance analysis of an optimised hybrid boost converter with coupled inductor for PV-based EV applications P Kannan, K Sakthidhasan, N Sridhar, R V International Journal of Electronics, 1-33 , 2026 2026
CNN-Based Automated Detection of Wax Coating on Apples MN Naik, D Pratyusha, P Kannan, K Shilpa, M Sandhyarani, GC Babu 2024 4th International Conference on Ubiquitous Computing and Intelligent … , 2024 2024
An Efficient Access of Spectrum in Transmission Over Cognitive Radio Using Deep Learning S Malathy, P Kannan, V Bathrinath, D Udayakiran, M Santhoshwaran 2024 International Conference on Emerging Research in Computational Science … , 2024 2024
IEZ-Source Inverter Topology with Tuned PID Controller of Carrier SPWM Technique in Grid Connected System P Kannan, S Arockia Edwin Xavier Journal of Circuits, Systems and Computers 33 (17), 2450299 , 2024 2024 Citations: 1
Enhancing potato plant disease detection using CNNs with transfer learning: A robust AI-driven approach KL Flower, PS Padmini, S Rabbani, KK Datti, P Kannan, ... 2024 8th International Conference on Electronics, Communication and … , 2024 2024 Citations: 2
A Modified 2: 1 Multiplexer-Based Low Power Ternary ALU for IoT Applications. SA Devaraj, DM Mary, P Kannan, SE Rajavel, CA Thangaraj, ... Journal of Engineering Science & Technology Review 17 (5) , 2024 2024
Empowering agriculture: Blockchain’s revolution in smart farming NA Natraj, S Balasubaramanian, KB Gurumoorthy, A Purushothaman, ... Intelligent robots and drones for precision agriculture, 207-240 , 2024 2024 Citations: 14
Smart Agriculture–Automatic monitoring of Soil Moisture and Irrigation control for farming land R Nagalingam, V Chintamaneni, K Paramasivan, M Ponnusamy Current Agriculture Research Journal 11 (3) , 2023 2023 Citations: 5
OPTIMISING SYSTEM-ON-CHIP ARCHITECTURE USING ASYNCHRONOUS REGRESSION MODEL SM P.Kannan, P.M.Sithir Selvam,T.Priya ICTACT Journal on Microelectronics 9 (1), 1487-1491 , 2023 2023
Renewable Energy and Sustainable Development DRR Dr.M.PANDI MAHARAJAN, Dr.S.RAJALINGAM, Dr.P.KANNAN 2023
A Novel Method to Identify the Fault in Transmission Line Using Discrete Wavelet Transform (DWT) MP Maharajan, JB Banu, S Rajalingam, P Kannan, MM Vijay, K Malarkodi European Chemical Bulletin 12 (4), 9585-9595 , 2023 2023
Arduino UNO-Based Room Temperature Sensor For Automatic Fan Speed Controller MP Maharajan, R Ramkumar, T Sangeetha, P Kannan Journal of Data Acquisition and Processing 38 (1), 4218 , 2023 2023
Vehicular Support System for User and Vehicle Accident Prevention WS Jacob, PJD Rosita, KB Gurumoorthy, P Kannan, SA Devaraj, ... 4th EAI International Conference on Big Data Innovation for Sustainable … , 2022 2022 Citations: 1
Power Quality Analysis of High-Voltage Gain Switched LC Z-Source Inverters P Kannan, P Bhuvaneswari, KP Chandran, PE Darney, KL Narayanan, ... Distributed Computing and Optimization Techniques: Select Proceedings of … , 2022 2022 Citations: 8
Use of near-field communication (NFC) and fingerprint technology for authentication of ATM transactions K Renuka, RP Janani, K Lakshmi Narayanan, P Kannan, ... Intelligent Sustainable Systems: Proceedings of ICISS 2022, 415-426 , 2022 2022 Citations: 7
Ball Bearing Fault by Feature Extraction and Fault Diagnosis method based on AI ML Algorithms P Kannan, S Neha 2022 6th International Conference on Intelligent Computing and Control … , 2022 2022 Citations: 3
Intelligent drowsiness and illness detection assist system for drivers RP Janani, KL Narayanan, RS Krishnan, P Kannan, R Kabilan, ... 2022 Second International Conference on Artificial Intelligence and Smart … , 2022 2022 Citations: 52
Probability Spectrum Access Control Based On Wireless Communication Using Cognitive Radio Networks SE Rajavel, GV Rajkumar, P Kannan, M Vijayagandhi, SM Bala, S Mala, ... 2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile … , 2021 2021
Accident Prevention Black-Box and Vehicle-to-Vehicle Communication Using Li-Fi and Wi-Fi Technologies I Aishwarya, B Carolin, ChalceEbenS, P Kannan Smart Intelligent Computing and Communication Technology, 532-536 , 2021 2021 Citations: 2
MOST CITED SCHOLAR PUBLICATIONS
Intelligent drowsiness and illness detection assist system for drivers RP Janani, KL Narayanan, RS Krishnan, P Kannan, R Kabilan, ... 2022 Second International Conference on Artificial Intelligence and Smart … , 2022 2022 Citations: 52
Empowering agriculture: Blockchain’s revolution in smart farming NA Natraj, S Balasubaramanian, KB Gurumoorthy, A Purushothaman, ... Intelligent robots and drones for precision agriculture, 207-240 , 2024 2024 Citations: 14
All you wanted to know about Electronic Devices C Ananth, SE Rajavel, SA Devaraj, P Kannan Nook Press Barnes & Noble Inc. Publishing, New York, USA, B&N Identifier … , 2017 2017 Citations: 12
Capacity Behaviour using WSDV Scheme over WiMAX MS Chinnathampy, SA Devaraj, SE Rajavel, VK Selvan, P Kannan, ... SSRN Electronic Journal 1(2):18-27 1 (2), 18-27 , 2014 2014 Citations: 12
Electronic Devices C Ananth 2014 Citations: 12
PID control of twin rotor MIMO system PS Kannan, P Sheenu International Journal of Advanced Research in Basic Engineering Sciences and … , 2017 2017 Citations: 11
Power Quality Analysis of High-Voltage Gain Switched LC Z-Source Inverters P Kannan, P Bhuvaneswari, KP Chandran, PE Darney, KL Narayanan, ... Distributed Computing and Optimization Techniques: Select Proceedings of … , 2022 2022 Citations: 8
AI based facial expression recognition for autism children M Afrin, S Freeda, S Elakia, P Kannan AI Based Facial Expression Recognition for Autism Children (September 2 … , 2019 2019 Citations: 8
Use of near-field communication (NFC) and fingerprint technology for authentication of ATM transactions K Renuka, RP Janani, K Lakshmi Narayanan, P Kannan, ... Intelligent Sustainable Systems: Proceedings of ICISS 2022, 415-426 , 2022 2022 Citations: 7
Smart Agriculture–Automatic monitoring of Soil Moisture and Irrigation control for farming land R Nagalingam, V Chintamaneni, K Paramasivan, M Ponnusamy Current Agriculture Research Journal 11 (3) , 2023 2023 Citations: 5
Harmonic Analysis and Design of Embedded Z-Source Inverter for Induction Motor Drives P KANNAN international journal of Advanced Computer Research , 2014 2014 Citations: 5
IoT Based Smart Cradle Using PI SV KANNAN P, ALLWİN DEVARAJ, B.PRADHEEP T RAJAN ,SWATHİRA P K 2021 Citations: 4
Ball Bearing Fault by Feature Extraction and Fault Diagnosis method based on AI ML Algorithms P Kannan, S Neha 2022 6th International Conference on Intelligent Computing and Control … , 2022 2022 Citations: 3
GSM Based Smart Energy Meter System KP ALLWİN DEVARAJ, ESAKKİ RAJAVEL S Recent Trends in Intensive Computing 39 (1), 749-753 , 2021 2021 Citations: 3
Enhancing potato plant disease detection using CNNs with transfer learning: A robust AI-driven approach KL Flower, PS Padmini, S Rabbani, KK Datti, P Kannan, ... 2024 8th International Conference on Electronics, Communication and … , 2024 2024 Citations: 2
Accident Prevention Black-Box and Vehicle-to-Vehicle Communication Using Li-Fi and Wi-Fi Technologies I Aishwarya, B Carolin, ChalceEbenS, P Kannan Smart Intelligent Computing and Communication Technology, 532-536 , 2021 2021 Citations: 2
A Comparison of the Performance Indices of Embedded EZ-source inverter using different pwm techniques P Kannan, SAE Xavier Wireless Personal Communications 112 (3), 1369-1382 , 2020 2020 Citations: 2
Advanced control of twin rotor MIMO system PS Kannan, P Sheenu Int J Adv Res Trends Eng Technol (IJARTET) 4 (6), 166-173 , 2017 2017 Citations: 2
IEZ-Source Inverter Topology with Tuned PID Controller of Carrier SPWM Technique in Grid Connected System P Kannan, S Arockia Edwin Xavier Journal of Circuits, Systems and Computers 33 (17), 2450299 , 2024 2024 Citations: 1
Vehicular Support System for User and Vehicle Accident Prevention WS Jacob, PJD Rosita, KB Gurumoorthy, P Kannan, SA Devaraj, ... 4th EAI International Conference on Big Data Innovation for Sustainable … , 2022 2022 Citations: 1
