{"title":"An Efficient Multiresonant Gate Driver for Wide Bandgap Devices: Design Framework, Sensitivity Analysis, and Experimental Verification","authors":"Asjad Elahi;Mohamed Z. Youssef","doi":"10.1109/ICJECE.2026.3663371","DOIUrl":"https://doi.org/10.1109/ICJECE.2026.3663371","url":null,"abstract":"This article presents a multiresonant gate driver (MRGD) for wide bandgap (WBG) devices. The design carries out a Monte Carlo analysis that incorporates a sensitivity analysis-based optimization technique for MRGDs, designed to drive WBG power MOSFETs. This is applicable to resonant power converters and resonant switched-mode power supply (SMPS). Unlike standard numerical design approaches that are reported in previous studies, the proposed approach streamlines the design process and shortens the product development time by using manufacturer SPICE models. The proposed design and optimization are simulated in LT SPICE, optimizing the key parameters that affect the multiresonant filter’s frequency response. The MRGD aims to maximize operational efficiency at high frequencies when used in SMPS and resonant power converters. The proposed concepts are assessed and validated through a hardware prototype. With the help of simulation and hardware verification, the MRGD demonstrated improved efficiency, achieving a 34.8% reduction in gate drive losses compared to an off-the-shelf conventional voltage-source gate driver (VSGD).","PeriodicalId":100619,"journal":{"name":"IEEE Canadian Journal of Electrical and Computer Engineering","volume":"49 2","pages":"168-179"},"PeriodicalIF":1.9,"publicationDate":"2026-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147440604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Contact-Free Sensing of Stability in Vector Fields of Vibratory Dynamical Systems","authors":"Enze Cui;James F. Peters","doi":"10.1109/ICJECE.2026.3652096","DOIUrl":"https://doi.org/10.1109/ICJECE.2026.3652096","url":null,"abstract":"This article introduces a contact-free sensing (CFS) framework for stability analysis of vibratory dynamical systems via extracted motion vector fields (EMVf) inherent in near infrared (NIR) video frame sequences. Unlike traditional stability metrics (e.g., Amer et al., Lyapunov, and Gromov–Hausdorff), the CFS approach uses the Krantz criterion to measure stability via a required versus actual upper bound on the eigenvalues of the motion vector fields extracted from NIR frame sequences. The experimental results use the CFS framework to demonstrate a reduction in the maximum eigenvalue from <inline-formula> <tex-math>$left|lambda_{max }right|$ </tex-math></inline-formula> > 1 (unstable EMVf before modulation) to <inline-formula> <tex-math>$left|lambda_{max }right|$ </tex-math></inline-formula> ≤ 1 (stable EMVf) after modulation. The main novelties in contract-free monitoring of vibratory systems reported in this article are as follow: 1) adjustable time lag between system motion recorded in NIR video frame sequences, 2) ease with which vibratory motion instability is detected whenever the maximal eigenvalue of an EMVf exceeds a required upper bound limit, and 3) straightforward means of measuring the difference between Hamilton characteristics of recorded EMVfs that occur at different times. This noncontact method eliminates sensor-induced artifacts and offers real-time stability for industrial applications in vibratory mechanical (e.g., bounded vibration of a pile driver monitored with an NIR camera) and biomechanical systems (e.g., bounded variation in rehabilitating walker motion).","PeriodicalId":100619,"journal":{"name":"IEEE Canadian Journal of Electrical and Computer Engineering","volume":"49 2","pages":"159-167"},"PeriodicalIF":1.9,"publicationDate":"2026-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147440600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Joseph Basanth;M. Lordwin Cecil Prabhaker;Xavier N. Fernando;R. Daisy Merina
{"title":"Edge-AI-Enabled Adaptive Control of Positive Output Super Lift Luo Converters for Smart EV Charging Stations: FPGA-Based Implementation for Renewable-Powered Systems","authors":"A. Joseph Basanth;M. Lordwin Cecil Prabhaker;Xavier N. Fernando;R. Daisy Merina","doi":"10.1109/ICJECE.2026.3656114","DOIUrl":"https://doi.org/10.1109/ICJECE.2026.3656114","url":null,"abstract":"This article presents an edge-AI-enabled adaptive genetic algorithm (GA)-optimized fuzzy logic controller (AGA-FLC) for a positive output super lift relift Luo converter (POSLRLC), developed for energyefficient and stable operation in renewable-powered electric vehicle (EV) charging stations. The converter mitigates nonlinear and high-gain dynamics by integrating fuzzy inference with real-time GA-based optimization, implemented on an FPGA-based edge computing platform. The proposed controller dynamically tunes fuzzy membership functions and rule weights to ensure optimal duty-cycle regulation under varying solar input and load conditions. Simulation and hardware-in-loop validation demonstrate superior dynamic response with a rise time of 15 ms, settling time of 28 ms, and peak overshoot below 3%. The system achieves an efficiency of 95.8% and maintains a THDv of 2.1%, fully compliant with IEC 61000-3-2 Class A harmonic limits. FPGA synthesis results indicate 62.8% look-up table (LUT) utilization, 1.8-W on-chip power, and 21-ns latency. Monte Carlo robustness testing (10 000 runs) confirms 100% compliance with performance criteria across ±10% parameter variations. The proposed AGA-FLC provides a scalable and intelligent control solution for next-generation EV charging systems and smart grid infrastructures.","PeriodicalId":100619,"journal":{"name":"IEEE Canadian Journal of Electrical and Computer Engineering","volume":"49 2","pages":"146-158"},"PeriodicalIF":1.9,"publicationDate":"2026-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147440603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimized Authentication for WBANs Using Hyperelliptic Curve Cryptography in Cloud-Aided Medical Systems","authors":"Pabitha B;V. Vani;Shridhar Sanshi","doi":"10.1109/ICJECE.2026.3661578","DOIUrl":"https://doi.org/10.1109/ICJECE.2026.3661578","url":null,"abstract":"Wireless body area networks (WBANs) are one of the most essential technologies for today's electronic healthcare to achieve real-time monitoring and remote medical treatment in cloud-assisted environments. However, secure and efficient authentication is still a big challenge due to the constrained capabilities of WBAN devices. While many existing solutions use elliptic curve cryptography (ECC), it might introduce excessive computational and communication overheads. The work describes a lightweight authentication protocol for WBAN based on hyperelliptic curve cryptography (HECC), an emerging ECC substitute to address these limitations. HECC ensures the same security with shorter key sizes and reduced computation overhead, and thus is even more appropriate for resource-constrained environments. The proposed protocol is comprehensively analyzed for security and has been proven secure against various known attacks while fulfilling the necessary authentication requirements. Performance analysis indicates that the presented scheme attains considerable computational time savings, communication overhead, and storage, which indicates its feasibility and efficiency in secure healthcare systems.","PeriodicalId":100619,"journal":{"name":"IEEE Canadian Journal of Electrical and Computer Engineering","volume":"49 2","pages":"130-145"},"PeriodicalIF":1.9,"publicationDate":"2026-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147362543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abhishek Kishor;Natesan Chokkalingam Lenin;Sathyanarayanan Nandagopal;Arjun Seshadri;A. Bharathi Sankar Ammaiyappan;Mohamed N. Ibrahim
{"title":"Design and Simulation of Four-Pole Induction Motors for Premium, Super-Premium, and Ultra-Premium Efficiency","authors":"Abhishek Kishor;Natesan Chokkalingam Lenin;Sathyanarayanan Nandagopal;Arjun Seshadri;A. Bharathi Sankar Ammaiyappan;Mohamed N. Ibrahim","doi":"10.1109/ICJECE.2026.3652824","DOIUrl":"https://doi.org/10.1109/ICJECE.2026.3652824","url":null,"abstract":"Environmental aspects are largely affected by power generation and consumption. The Indian economy is based on the agriculture sector, where electric motors play a vital role in this application as a pump. Induction motors with the International Efficiency (IE3) standard are in use at present, which lags in efficiency. Revitalizing these motors for the next generation is a paramount importance among researchers. Super-premium and ultra-premium (IE4 and IE5, respectively) motors are the way to go in these applications for reduced power consumption. This article provides the design aspects of those three motors with in-depth electromagnetic and thermal studies. The authors believe that this will lead the researchers and the industry designers to move beyond the requirements of the energy-efficient induction motors.","PeriodicalId":100619,"journal":{"name":"IEEE Canadian Journal of Electrical and Computer Engineering","volume":"49 2","pages":"118-129"},"PeriodicalIF":1.9,"publicationDate":"2026-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147299637","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Deep Generative Models for Node Embedding and Neighborhood Prediction in Dynamic Graphs of Recommendation Systems","authors":"Mohamed Darghouthi;Aymen Hamrouni;Hakim Ghazzai;Lokman Sboui","doi":"10.1109/ICJECE.2025.3650740","DOIUrl":"https://doi.org/10.1109/ICJECE.2025.3650740","url":null,"abstract":"In this article, we develop generative models that generate embeddings for graph nodes while using only their initial features without any knowledge about their neighborhoods and connections. Accordingly, we start by generating reference embeddings using a graph neural network (GNN) trained on full graph knowledge. Afterward, we train the generative models, specifically an autoencoder and a generative adversarial network (GAN), which use only the initial node features to generate close and almost indistinguishable embeddings to those generated by the GNN. To this end, we use a customized loss function acting as a strong regularization for our models. It compels them to generate only embeddings with small error values from those generated by the fully fledged model. Using real-world graph datasets, we evaluate the quality of the generated embeddings for different similarity metrics such as the mean-squared error (MSE) and cosine similarity. We also assess their ability in reconstructing an initial graph and predicting the neighborhood of each newly added node. Results show the superiority of the proposed generative models over the conventional ones and that the proposed GAN model outperforms the proposed autoencoder with an efficiency in graph reconstruction exceeding 85% for different datasets.","PeriodicalId":100619,"journal":{"name":"IEEE Canadian Journal of Electrical and Computer Engineering","volume":"49 1","pages":"105-117"},"PeriodicalIF":1.9,"publicationDate":"2026-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146175732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Centralized Power Management System for Microgrids Using WAMS-Driven Dynamic Load Shedding and Restoration","authors":"Prashant Khare;Maddikara Jaya Bharata Reddy","doi":"10.1109/ICJECE.2026.3671960","DOIUrl":"https://doi.org/10.1109/ICJECE.2026.3671960","url":null,"abstract":"Remote and isolated regions frequently experience power outages or a complete lack of grid connectivity. Microgrids provide a practical solution by integrating distributed energy resources (DERs) to ensure a reliable and localized power supply. However, the intermittency of renewable DERs leads to an imbalance between load demand and available generation, requiring effective load shedding during power deficit conditions and systematic load restoration during power surplus. This article proposes a wide area measurement system (WAMS)-based centralized power management system (CPMS) for an Islanded Microgrid, designed for improvements in real-time observability and communication responsiveness over conventional SCADA-based systems. A microgrid based on a modified IEEE 33-bus system, integrated with DERs and various load categories such as Hospitals, Offices, Academic Units, Shopping Complexes, and Residential, is developed to enhance the practical relevance of the study. A priority-based load shedding and restoration algorithm is developed to manage both power deficit and surplus operating conditions. Quantitative results demonstrate that the proposed CPMS successfully ensures 100% feeding of critical loads during power deficit conditions while maintaining system voltage and frequency variations within ±2% and ±0.3%, respectively. Various MATLAB/Simulink case studies are performed, and real-time OPAL-RT validation further validates the effectiveness, robustness, and operational feasibility of the proposed approach.","PeriodicalId":100619,"journal":{"name":"IEEE Canadian Journal of Electrical and Computer Engineering","volume":"49 2","pages":"259-272"},"PeriodicalIF":1.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147737025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Novel Vector Control Integrated for Grid-Connected Kite-Based Airborne Wind Energy Conversion","authors":"Pankaj Kumar;Yashwant Kashyap;K. Manjunatha Sharma","doi":"10.1109/ICJECE.2026.3671293","DOIUrl":"https://doi.org/10.1109/ICJECE.2026.3671293","url":null,"abstract":"Kite-based airborne wind energy conversion system (KAWECS) provides an innovative and interesting concept to exploit high-altitude winds for efficient power generation. The framework of this system utilizes a flying kite connected to the generator through a power electronics interface for grid integration. However, maintaining stable generator speed and maximum power extraction is very challenging due to the dynamic and periodic nature of the kite motion. This study presents a novel vector control integrated to enhance the performance of a grid-connected kite-based airborne wind energy conversion. The vector control scheme is designed to control the speed and torque of the permanent magnet synchronous generator (PMSG), ensuring optimal power extraction under varying wind conditions. A novel optimal symmetrical method is used to design the controller gain of the vector control scheme. Furthermore, a grid-side converter (GSC) controller is designed to regulate the DC-link voltage and synchronize the current and voltage with the grid. The LCL filter is designed to improve the quality of the grid voltage and current. The proposed system is implemented in MATLAB Simulink and validated hardware-in-the-loop (HIL) using a field programmable gate array (FPGA)-based OPAL-RT OP-4520 platform. The results demonstrated stable generator speed tracking, regulated DC-link voltage at 800 V, and distortion-free grid currents with a total harmonic distortion (THD) of 5.95%. Furthermore, the proposed control strategy improved system performance by achieving a 45.6% capacity factor, compared to 31.4% for the conventional wind turbine system (CWTS). These quantitative results confirm the effectiveness and robustness of the proposed controller for real-time grid-connected airborne wind energy applications.","PeriodicalId":100619,"journal":{"name":"IEEE Canadian Journal of Electrical and Computer Engineering","volume":"49 2","pages":"228-237"},"PeriodicalIF":1.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147606212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"FPGA-Based Handwritten Digit Recognition Using 3-D Hop Net and Equilibrium Optimization","authors":"Akula Trinadha Rao;M. Thamarai;B. T. Krishna","doi":"10.1109/ICJECE.2026.3665570","DOIUrl":"https://doi.org/10.1109/ICJECE.2026.3665570","url":null,"abstract":"Handwritten digit recognition is an important topic with applications ranging from digitizing historical documents to automating mailroom sorting. In recent years, there has been a rising interest in using specialized hardware accelerators to improve the performance of digit identification systems. Existing FPGA accelerators suffer from degraded energy efficiency during weight matrix multiplication and reduced flexibility due to limited local interconnections among processing elements (PEs). To address the inefficiencies, a novel FPGA accelerator-based 3-D unified crossbar hop net and equilibrium optimization is introduced. This design replaces complex floating-point operations with memristor crossbar array multiplication for efficient computation, connects PEs with a deep pipeline systolic array globally, and reduces memory utilization through unified quantization-based weight merging. The weighted equilibrium optimizer minimizes computation errors during backpropagation, achieving optimized model training. In addition, a 3-D Hopfield neural network enhances handwritten digit recognition accuracy by preserving temporal information and managing datadependent pathways. The model presents a comprehensive solution to improve accelerator performance in terms of energy efficiency, flexibility, and recognition accuracy.","PeriodicalId":100619,"journal":{"name":"IEEE Canadian Journal of Electrical and Computer Engineering","volume":"49 2","pages":"238-246"},"PeriodicalIF":1.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147665447","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Deep Learning-Based Optimal Relay Selection Scheme for Underlay Cognitive NOMA Networks With Incremental Relaying","authors":"P. Archana;V. P. Harigovindan;A. V. Babu","doi":"10.1109/ICJECE.2026.3672939","DOIUrl":"https://doi.org/10.1109/ICJECE.2026.3672939","url":null,"abstract":"In this research work, we propose a deep learning (DL)-based optimal relay selection (ORS) scheme to select the relay in the underlay cognitive NOMA (CNOMA) networks with incremental relaying (CNOMA-IR).We initially propose an ORS scheme in which the optimal relay is chosen in the secondary network by considering the residual energy of the relay, interference from the primary network, and the channel gain. We derive closed-form expressions for outage probabilities of secondary users (SUs) and system throughput (ST) of the CNOMA-IR network with ORS by considering imperfect successive interference cancellation (i-SIC). The ORS using Monte-Carlo simulations is time-consuming and involves higher computational complexity. In order to resolve this challenge, we propose a DL framework for the ORS.With the proposed ORS scheme, we obtain the dataset, tune the hyperparameters of the DL models, train different DL models, and compare the performance. With the best performing gated recurrent unit (GRU) DL model, the results show that the proposed DL framework is able to select the optimal relay accurately in various network scenarios with minimal computation time, which can significantly enhance the throughput and outage performance of the underlay CNOMA-IR networks, compared to the conventional cooperative relaying-based CNOMA (CR-CNOMA) networks.","PeriodicalId":100619,"journal":{"name":"IEEE Canadian Journal of Electrical and Computer Engineering","volume":"49 2","pages":"247-258"},"PeriodicalIF":1.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147696166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}