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49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Chan, Pak-Ian Sou, Wai-Kit Lam, Chi-Seng University of Macau State Key Laboratory of Analog and Mixed-Signal Vlsi China Institute of Microelectronics University of Macau China University of Macau Faculty of Science and Technology Department of Electrical and Computer Engineering China

ISBN: (纸本)9798350331820

In this paper, a multi-quasi-proportional-resonant control (MQPRC) for a three-phase capacitive-coupling grid-connect inverter (CGCI) with accurate active power injection technique is proposed to mitigate the current harmonics and improve the active power injection accuracy. Then, a detail parameter design of the proposed MQPRC is provided. And the proposed accurate active power injection is verified by the simulation. Subsequently, to verify the effectiveness of the proposed MQPRC, the simulation results are presented in comparison to the quasi-proportional-resonant control (QPRC). © 2023 IEEE.

关键词： Power quality

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A High-Performance Three-Coil Wireless Charging System for Empowering Unmanned Surface Vehicle 49

A High-Performance Three-Coil Wireless Charging System for E...

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49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Ieong, Chi-Fong Wong, Hou-Wa Iam, Io-Wa Lam, Chi-Seng University of Macau State Key Laboratory of Analog and Mixed-Signal Vlsi China Institute of Microelectronics University of Macau China University of Macau Faculty of Science and Technology Department of Electrical and Computer Engineering China

ISBN: (纸本)9798350331820

The use of unmanned surface vehicles (USVs) in oceanography research is widespread due to their ability to provide real-time data. Due to the limited battery size, recharging operations including plugging and unplugging decrease the overall utilization of the USV. To address this issue, wireless power transfer (WPT) can be implemented by installing coils at the dock and inside the USV. In this paper, a three-coil WPT system is designed for offshore USV wireless charging applications. The proposed three-coil structure is designed to ensure adequate coupling and achieve high transfer efficiency. Aiming to meet practical battery charging specifications, LCC-S-S compensation topology is analyzed with detailed parameter design to provide constant current output. Finally, simulations are conducted to verify the coupling and output characteristics of the system. © 2023 IEEE.

关键词： Energy transfer

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Cloud-Integrated Clean Fuel Generation for Solar-Hydrogen Production with Wireless Sensor Networks 7

Cloud-Integrated Clean Fuel Generation for Solar-Hydrogen Pr...

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7th International Conference on Inventive Computation Technologies, ICICT 2024

作者： Naveenkumar, N. Sridevi, V. Bharathi, R. Mishra, Nilamadhab Murugan, S. Velmurugan, S. Department of Computer Science And Engineering Namakkal Tamil Nadu Rasipuram India Academy of Maritime Education And Training Deemed To Be University Electrical And Electronics Engineering Tamil Nadu Chennai India Srm Institute of Science And Technology Faculty of Management Chennai Tamil Nadu Kattankulathur India Vit Bhopal University School of Computing Science And Engineering Madhya Pradesh India Saveetha Institute of Medical And Technical Sciences Saveetha University Saveetha School of Engineering Department of Biomedical Engineering Tamil Nadu Chennai India T.J.S. Engineering College Department of Electronics And Communication Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350359299

This research study proposes a novel system that integrates Wireless Sensor Networks (WSNs) with cloud-based platforms to efficiently generate renewable energy and produce clean fuel. By enhancing the safety, efficiency, and reliability of solar power and hydrogen generation, the system integrates optimization strategies, data analysis, and real-time monitoring. Critical parameters such as temperature, sun irradiance, electrolysis efficiency, and hydrogen purity are monitored using WSNs, with data transmitted and processed via cloud techniques to identify patterns, outliers, and areas for improvement. Proactive decision-making and rapid adjustments are facilitated through remote monitoring and control capabilities, leading to maximized energy production and clean fuel output. Security measures including encryption, access controls, and regular audits safeguard data privacy and integrity, while multiple sensor deployments, robust communication protocols, and a resilient cloud infrastructure ensure system reliability. This integrated approach offers an effective solution for advancing renewable energy generation and clean fuel production, contributing to environmental sustainability and a greener future. © 2024 IEEE.

关键词： Energy efficiency

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Optimizing Inductive Power Transfer Circular Pad Coils for Electric Vehicles Using Multi-Objective Particle Swarm Optimization 49

Optimizing Inductive Power Transfer Circular Pad Coils for E...

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49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Wong, Hou-Wa Ieong, Chi-Fong Lam, Chi-Seng University of Macau State Key Laboratory of Analog and Mixed-Signal Vlsi China Institute of Microelectronics University of Macau China University of Macau Faculty of Science and Technology Department of Electrical and Computer Engineering China

ISBN: (纸本)9798350331820

The wireless power transfer (WPT) technology has gained significant attention in recent years due to its potential to provide a convenient and efficient method to charging electronic devices without the need for physical connections. In wireless charging, the inductive coils are significantly important as they are the component that power transfer takes place. In this context, Multi-Objective Particle Swarm Optimization (MOPSO) has emerged as a promising technique for designing WPT coils with improved performance. Aiming to verify the performance of the designed coil, LCC-S compensation topology was utilized as it can provide practical battery charging specifications. © 2023 IEEE.

关键词： Inductive power transmission

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Harmonic Transfer Function Modeling of LCC-S Inductive Power Transfer System

Harmonic Transfer Function Modeling of LCC-S Inductive Power...

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2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023

作者： Gong, Cheng Ding, Zhaoyi Lam, Chi-Seng University of Macau State Key Laboratory of Analog and Mixed-Signal Vlsi China University of Macau Institute of Microelectronics China University of Macau Faculty of Science and Technology Department of Electrical and Computer Engineering China

ISBN: (纸本)9798350316445

Mathematical model of the inductive power transfer (IPT) systems is essential for stability analysis and control design. Conventional modeling approaches for IPT systems result in high-order models, as each resonant voltage or current is represented by two slowly changing real-valued variables. Alternative modeling methods may decrease the model order, but they are often plagued by drawbacks such as the absence of analytical expressions, reduced generality, and incomplete modeling. Moreover, the harmonic AC components of the IPT system are not well modeled in the existing methods, which affects the analysis accuracy and control optimality. In this paper, a harmonic transfer function (HTF) modeling of the IPT system is proposed, which has good mathematical properties and improved accuracy. First, the circuit configuration and the linear time-varying (LTV) large-signal model are proposed. Then, the derivation of the proposed HTF is comprehensively discussed. Finally, the accuracy of the proposed HTF is verified by simulation and experimental results in comparison with other representative modeling methods, which shows an improved accuracy. © 2023 IEEE.

关键词： harmonics transfer function inductive power transfer system modeling

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Design, Verification and Testing of a Readout Integrated Circuit for Hybrid Pixel X-ray Detectors with In-Pixel Time Measurement Functionality in 28 nm CMOS

Design, Verification and Testing of a Readout Integrated Cir...

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International Conference on Mixed Design of Integrated Circuits and Systems (MIXDES)

作者： Lukasz A. Kadlubowski Department of Measurement and Electronics Faculty of Electrical Engineering AGH University of Science and Technology Automatics Computer Science and Biomedical Engineering Krakow Poland

This paper summarizes the design of a prototype integrated circuit for hybrid pixel X-ray detectors fabricated in 28 nm CMOS technology. The chip consists of 32 pixels with dimensions 50 μ m: × 50 μm each. Each pixel is divided into three sections: a front-end, two-ring oscillators with their frequency control circuits, and a digital part. It offers singlephoton counting functionality as well as in-pixel time measurement. In previous papers, a detailed design of the chip and simulation results were reported, and an approach was described that utilized System Verilog language together with the AMS simulator for the verification of this asynchronous, mixed-mode circuitry. This paper focuses more on testing fabricated chips. It describes a test setup and PCB design and mentions how the prior System Verilog verification approach helped with the development of a testing software. Finally, preliminary measurement results are presented that illustrate the performance of front-end and oscillators.

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Harnessing Vision Transformers for Precise and Explainable Breast Cancer Diagnosis 27th

Harnessing Vision Transformers for Precise and Explainable B...

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27th International Conference on Pattern Recognition, ICPR 2024

作者： Balaha, Hossam Magdy Ali, Khadiga M. Gondim, Dibson Ghazal, Mohammed El-Baz, Ayman Bioengineering Department J.B. Speed School of Engineering University of Louisville LouisvilleKY United States Pathology Department Faculty of Medicine Mansoura University Mansoura Egypt Department of Pathology and Laboratory Medicine University of Louisville LouisvilleKY United States Electrical Computer and Biomedical Engineering Department Abu Dhabi University Abu Dhabi United Arab Emirates

ISBN: (纸本)9783031781940

Breast cancer (BC) remains a significant global health challenge, impacting millions of lives annually. Traditional histopathological analysis, while essential, can be subjective and time-consuming, potentially leading to diagnostic inaccuracies. This study proposes a novel computer-Aided Diagnosis (CAD) framework utilizing Vision Transformers (ViTs) for BC diagnosis from histopathology slides. ViTs excel in capturing global dependencies within images, offering enhanced diagnostic accuracy compared to conventional methods. The framework integrates ViTs with advanced decision-making techniques like 2-tier majority fusion and SHapley Additive exPlanations (SHAP) for improved interpretability. Experimental results on a dataset of post-neoadjuvant therapy breast cancer samples demonstrate the efficacy of the proposed approach, achieving high performance metrics and providing insights into model predictions. The proposed approach achieves state-of-the-art performance with an accuracy exceeding 97% surpassing existing methods both on the utilized dataset and an external benchmark, specifically the Breast Cancer Histopathological Database (BreakHis). Time complexity analysis suggests that the proposed framework offers computational efficiency, with the dominant factors influencing overall complexity being the number of patches, sequence length, and number of layers in the ViT model. This study contributes a robust methodology towards enhancing BC diagnostic precision and efficiency through cutting-edge AI technologies. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Diseases

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Structural RC computer aided intelligent analysis and computational performance via experimental investigations

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Structural engineering and Mechanics 2024年第3期90卷 253-261页

作者： Huang, Y.C. Lulios, TuMuli Chang, Chu-Ho Noor, M. Nasir Shao, Jen-Chung Chiu, Chien-Liang Lee, Tsair-Fwu Wang, Renata Information Technology Faculty Duy Tân University 254 Nguyen Van Linh Danang Viet Nam Princess Margaret Hospital Funafuti Island Private Mail Bag Tuvalu College of Electrical Engineering and Computer Science National Kaohsiung University of Science and Technology Kaohsiung Taiwan College of Maritime National Kaohsiung University of Science and Technology Kaohsiung Taiwan Department of Electronic Engineering National Kaohsiung University of Science and Technology Kaohsiung Taiwan Medical Physics and Informatics Laboratory of Electronics Engineering National Kaohsiung University of Science and Technology Kaohsiung Taiwan Information and Research Center of China 1/9 Road: 2 Block: D Section: 15 Dhaka1216 Bangladesh

This research explores a new finite element model for the free vibration analysis of bi-directional functionally graded (BDFG) beams. The model is based on an efficient higher-order shear deformation beam theory that incorporates a trigonometric warping function for both transverse shear deformation and stress to guarantee traction-free boundary conditions without the necessity of shear correction factors. The proposed two-node beam element has three degrees of freedom per node, and the inter-element continuity is retained using both C1 and C0 continuities for kinematics variables. In addition, the mechanical properties of the (BDFG) beam vary gradually and smoothly in both the in-plane and out-of-plane beam’s directions according to an exponential power-law distribution. The highly elevated performance of the developed model is shown by comparing it to conceptual frameworks and solution procedures. Detailed numerical investigations are also conducted to examine the impact of boundary conditions, the bi-directional gradient indices, and the slenderness ratio on the free vibration response of BDFG beams. The suggested finite element beam model is an excellent potential tool for the design and the mechanical behavior estimation of BDFG structures. © 2024 Techno-Press, Ltd.

关键词： Boundary conditions

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Cloud-Powered Virtual Doctor Robots for Enhancing Elderly Care and Chronic Disease Management with Recurrent Neural Networks 3

Cloud-Powered Virtual Doctor Robots for Enhancing Elderly Ca...

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3rd International Conference on electrical, Electronics, Information and Communication Technologies, ICEEICT 2024

作者： Ramesh, S. Mohankumar, N. Kovarasan, Rajesh Kambattan Selvamanikandan, R. Yuvaraj, S. Sujatha, S. Srm Institute of Science and Technology School of Computing College of Engineering and Technology Department of Computing Technologies Chennai Tamil Nadu Kattankulathur India Maharashtra Nagpur India Vel Tech Rangarajan Dr.Sagunthala R&d Institute of Science and Technology Department of Computer Science and Engineering Tamil Nadu Chennai India Care College of Engineering Department of Electrical and Electronics Engineering Tamil Nadu Trichy India Faculty of Engineering and Technology Department of Electronics and Communication Engineering Tamil Nadu India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Department of Biomedical Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350369083

This research introduces cloud-powered virtual doctor robots to improve elderly care and chronic illness management. This system uses recurrent neural networks (RNNs) to give personalized medical care to elderly chronic disease patients. These virtual doctor robots may integrate with cloud computing infrastructure to access huge medical databases for real-time patient data analysis and individualized treatment and care suggestions. Healthcare technology has advanced by using RNNs to learn from patient data, adapt to changing health situations, and predict prospective health issues. RNNs can interpret sequential data, thus virtual doctor robots may identify trends in patient health parameters, forecast illness development, and suggest risk mitigation strategies. Cloud-powered virtual doctor robots provide a scalable solution to conventional healthcare systems rising issues. These robots can work effectively in resource-constrained areas by offloading computational chores to distant servers, providing continuous medical expertise and lowering healthcare staff reliance. This technique might improve aged care and reduce load on overworked healthcare systems. Using proactive monitoring, timely intervention, and personalized guidance, virtual doctor robots with RNNs can improve health outcomes, empower patients to manage chronic conditions, and create a more sustainable healthcare model. © 2024 IEEE.

关键词： Medical robotics

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Automatic Design of a Cascoded-Inverter-Based Charge-Sensitive Amplifier Using gm/ID Technique and Particle Swarm Optimization in 28 nm CMOS

Automatic Design of a Cascoded-Inverter-Based Charge-Sensiti...

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International Conference on Mixed Design of Integrated Circuits and Systems (MIXDES)

作者： Piotr Kaczmarczyk Department of Measurement and Electronics Faculty of Electrical Engineering Automatics AGH University of Science and Technology Computer Science and Biomedical Engineering Krakow Poland

In this paper, an automated design procedure of a cascoded-inverter-based charge-sensitive amplifier (CSA) using the g m /I D method and particle swarm optimization (PSO) is presented. Assuming certain fixed values, such as transistors' length, supply voltage, feedback resistance, and input, output and feedback capacitances, the algorithm is able to find the proper transistors' width and cascode biasing voltages, to meet specified requirements, such as power consumption, gain, bandwidth, input/output DC level and input-referred noise. A CSA designed in 28 nm CMOS technology using the presented method achieves 500 V/V gain, 3.7 MHz bandwidth and 71e − ENC, consuming 2.2 μW of power from a 1.1 V supply.

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