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33rd IEEE Asian Test Symposium, ATS 2024

作者： Huang, Wei-Po Huang, Shi-Yu Chen, Chi-Kang Huang, Siang-Cheng National Tsing Hua University Electrical Engineering Department Taiwan Taiwan Electronic System Design Automation Taiwan

ISBN: (纸本)9798331529161

In security-critical applications, malicious Trojan Horses embedded in a CPU core could impose great threats on the security of an SoC. In this work, we propose a "Trojan-Horse detection framework"using a cross-auditing scheme. Our framework takes a target RISC-V core, and then pairs it up with another reference RISC-V core to conduct the functional simulation using a set of benchmark programs. The "care outputs"of both cores are compared to reveal the potential Trojan Horses in the target core. A set of well-known Trojan Horses are implanted into an open-source RISC-V core to evaluate the effectiveness of this framework. We found that we can successfully detect almost every implanted Trojan Horse as long as it has been activated and manifested by the benchmark programs. © 2024 IEEE.

关键词： Open source software

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Impedance matching design of magnetically coupled resonant wireless power transmission based on class E power amplifier 4

Impedance matching design of magnetically coupled resonant w...

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4th International Conference on Mechanical engineering, Intelligent Manufacturing, and automation technology, MEMAT 2023

作者： Su, Tianjian Meng, Xiangfei Fan, Xingming Department of Electrical Engineering & Automation Guilin University of Electronic and Technology Guilin541004 China

ISBN: (纸本)9781510674820

The theoretical efficiency of class E power amplifier can reach 100 %，it is often used as a power module for magnetically coupled resonant wireless power transmission systems. In practical work, the equivalent load of MCR-WPT system may deviate from the theoretical design value of class E power amplifier, it will affects the operating characteristics of the power amplifier and Causes the system transmission efficiency to drop. To solve this problem, an automatic impedance matching method for tracking the real-time change of load is proposed. First of all, based on Smith chart theory, an L-shaped matching network covering global matching is constructed, and an improved particle swarm optimization algorithm is proposed, It shows that the algorithm is superior to the traditional algorithm in matching accuracy and stability, Perfect matching can be achieved after a few iterations. Finally, it is proved that this method has certain application value in impedance matching design. © 2024 SPIE.

关键词： Power amplifiers

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Prediction and simulation of state of charge of li-on battery for electric vehicle based on data driven method 4

Prediction and simulation of state of charge of li-on batter...

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4th International Conference on Mechanical engineering, Intelligent Manufacturing, and automation technology, MEMAT 2023

作者： Meng, Xiangfei Zhang, Xin Wang, Chao Yun, Xiang Fan, Xingming Department of Electrical Engineering & Automation Guilin University of Electronic and Technology Guilin541004 China

ISBN: (纸本)9781510674820

The Relevance Vector Machine (RVM) which has uncertain expression and management capabilities becomes an effective method for estimating the state of charge (SOC) of Li-ion batteries. However, the algorithm has the problems of low multi-step prediction accuracy and poor online prediction adaptability, which limits its application for battery SOC estimation. So, an improved incremental RVM model is proposed to predict the SOC of Li-ion battery online. Through the ways of dynamic training model and on-line incremental learning to improve the prediction accuracy of the model, and the fast-sequence sparse Bayesian learning algorithm is selected for training to reduce the computational complexity and improve the computational efficiency of the algorithm. The study found that this model can guarantee higher prediction accuracy by adjusting the kernel width automatically. Experimental results show that this method has the characteristics of high prediction accuracy, fast calculation speed, and strong universality, it can provide a reference for Li-ion batteries SOC prediction and application. © 2024 SPIE. All rights reserved.

关键词： Lithium-ion batteries

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Research on the performance improvement of MCR-WPT by hyperscatterers 4

Research on the performance improvement of MCR-WPT by hypers...

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4th International Conference on Mechanical engineering, Intelligent Manufacturing, and automation technology, MEMAT 2023

作者： Wang, Wenjie Fan, Xingming Department of Electrical Engineering & Automation Guilin University of Electronic and Technology Guilin541004 China

ISBN: (纸本)9781510674820

Electromagnetic metamaterials applied to wireless power transmission (WPT) systems must be placed between two coils to improve the coupling of the system. This takes up intermediate space and is very inflexible in application. In this paper, a superscatterer based on optical transformation theory can amplify the displacement inside the object to some extent. It only needs to be placed at the transmitter or receiver end of the WPT system to improve the coupling of the system. In this paper, a magnetically coupled resonant wireless power transmission (MCR-WPT) system with the topology of series LC at the transmitter end - series LC at the receiver end (S-S type) is modeled on the COMSOL simulation platform. The modeling simulation verifies that the magnetic field of the transmitting coil is significantly enhanced and the mutual inductance of the two coils is significantly increased by adding the super-scatterer. Thus, the coupling degree of the WPT system is enhanced. © 2024 SPIE.

关键词： Metamaterials

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Lite-SCMamba: A Lightweight Model Applying Spatial and Channel Attention with Mamba Framework for Medical Image Segmentation 11th

Lite-SCMamba: A Lightweight Model Applying Spatial and Chan...

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11th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2025

作者： Ho, Quang-Huy Nguyen, Thi-Nhu-Quynh Nguyen, Duy-Thai Phan, Minh-Quang Tran, Thi-Thao Pham, Van-Truong Department of Automation Engineering School of Electrical and Electronic Engineering Hanoi University of Science and Technology Hanoi Viet Nam

ISBN: (纸本)9789819646050

Medical image segmentation has become increasingly critical and urgent in supporting diagnostic processes. Over the years, with the rapid advancement of technology, the application of deep learning in diagnostic assistance has gained substantial traction. Notably, Mamba has recently garnered significant attention in the medical image segmentation domain following its notable success in natural language processing. Leveraging Mamba’s exceptional capabilities, this study introduces a novel medical image segmentation model, Lite-SCMamba, which is built upon the foundation of Mamba and Convolutional Neural Networks (CNN). Additionally, the Priority Attention Mamba (PA-Mamba) block is proposed to enhance the feature extraction capabilities of both the encoder and decoder. To evaluate the performance, we conducted experiments on two benchmark datasets, ISIC18 and DSB, achieving promising results. The code for our method will be made publicly available at: https://***/kwanghwi242/SegMamModel. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Convolutional neural networks

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CareGenic: AI/ML Based Interactive Medicines Prescription system 3

CareGenic: AI/ML Based Interactive Medicines Prescription Sy...

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3rd Odisha International Conference on Electrical Power engineering, Communication and Computing technology, ODICON 2024

作者： Ahmed, Syed Ammar Umair, Shaikh Prasad, Ritesh Singh, Shashank Kumar Hati, Anirban J. Department of Electronic System Engineering National Institute of Electronics and Information Technology Aurangabad431001 India National Institute of Electronics and Information Technology Sr. Technical Assistant Department of Electronic System Engineering Aurangabad431001 India National Institute of Electronics and Information Technology Scientist B Department of Electronic System Engineering Aurangabad431001 India Scientist C Department of Electronic System Engineering National Institute of Electronics and Information Technology Aurangabad431001 India

ISBN: (纸本)9798350354379

CareGenic leverages Artificial Intelligence (AI) and Machine Learning (ML) to develop a robust system for predicting illnesses based on symptoms and recommending appropriate medications. This study addresses the growing need for intelligent healthcare solutions that can assist medical professionals and improving patient outcomes. The system utilizes a Random Forest algorithm trained on extensive healthcare datasets to predict illnesses accurately. Furthermore, it recommends medications based on the predicted illnesses, ensuring a holistic approach to patient care. Implemented on a Raspberry Pi 3 with an interactive LCD display interface, CareGenic provides an accessible and efficient tool for healthcare environments. The system's performance was evaluated using metrics such as accuracy, precision, and recall, achieving 95%, 93%, and 92%, respectively. These results demonstrate the efficacy of CareGenic in real-world scenarios. Compared to existing systems like IBM Watson Health and Google Health, CareGenic offers a more integrated approach by combining symptom-based predictions with medication recommendations. Future work will focus on enhancing the model's accuracy and expanding its capabilities to cover a broader range of illnesses and medications. This paper provides detailed insights into the system's architecture, methodology, implementation, and evaluation, highlighting the significant potential of AI and ML in revolutionizing healthcare. © 2024 IEEE.

关键词： Liquid crystal displays

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Evaluating transient behaviour of large-scale photovoltaic systems during lightning events using enhanced finite difference time domain method with variable cell size approach

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High Voltage 2024年第3期9卷 636-647页

作者： Ibrahim Hetita Diaa-Eldin A.Mansour Yang Han Ping Yang Congling Wang Mohamed M.F.Darwish Matti Lehtonen Amr S.Zalhaf School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China(UESTC)ChengduChina Electrical Power and Machines Engineering Department Faculty of EngineeringHelwan UniversityCairoEgypt Electrical Power and Machines Engineering Department Faculty of EngineeringTanta UniversityTantaEgypt Department of Electrical Power Engineering Faculty of EngineeringEgypt-Japan University of Science and TechnologyAlexandriaEgypt Department of Electrical Engineering Faculty of Engineering at ShoubraBenha UniversityCairoEgypt Department of Electrical Engineering and Automation School of Electrical EngineeringAalto UniversityEspooFinland

Photovoltaic(PV)arrays are usually installed in open areas;hence,they are vulnerable to lightning strikes that can result in cell degradation,complete damage,service disruption,and increased maintenance *** a result,it is imperative to develop an effective and efficient lightning protection system by evaluating the transient behaviour of PV arrays during lightning *** aim is to evaluate the transient analysis of large-scale PV systems when subjected to lightning strikes using the finite difference time domain(FDTD)*** overvoltages are calculated at various points within the mounting *** optimise the FDTD method's execution time and make it more suitable for less powerful hardware,a variable cell size approach is ***,larger cell dimensions are used in the earthing system and smaller cell dimensions are used in the mounting *** FDTD method is utilised to calculate the temporal variation of transient overvoltages for large-scale PV systems under different scenarios,including variations in the striking point,soil resistivity,and the presence of a metal *** results indicate that the highest transient overvoltages occur at the striking point,and these values increase with the presence of a PV metal frame as well as with higher soil ***,a comparison is performed between the overvoltage results obtained from the FDTD approach and the partial element equivalent circuit(PEEC)method at the four corner points of the mounting systems to demonstrate the superior accuracy of the FDTD ***,a laboratory experiment is conducted on a small-scale PV system to validate the simulation *** calculated overvoltages obtained from the FDTD and PEEC methods are compared with the measured values,yielding a mean absolute error of 5%and 11%for the FDTD and PEEC methods,respectively,thereby confirming the accuracy of the FDTD simulation model.

关键词： transient behaviour finite

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Interference Suppression and Jitter Elimination Ability-Based Adaption Tracking Guidance for Robotic Fishes

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IEEE/CAA Journal of Automatica Sinica 2025年第1期12卷 126-137页

作者： Dongfang Li Jie Huang Rob Law Xin Xu Limin Zhu Edmond Q.Wu IEEE the School of Electrical Engineering and Automation Fuzhou University the Key Laboratory of System Control and Information Processing Ministry of Education the School of Electrical Engineering and Automation Fuzhou University 5G+Industrial Internet Institute Fuzhou University the University of Macau the College of Mechatronics and Automation National University of Defense Technology the School of Mechanical Engineering Shanghai Jiao Tong University the Department of Computer Science and Engineering Shanghai Jiao Tong University

This work presents an adaptive tracking guidance method for robotic fishes. The scheme enables robots to suppress external interference and eliminate motion jitter. An adaptive integral surge line-of-sight guidance rule is designed to eliminate dynamics interference and sideslip issues. Limited-time yaw and surge speed observers are reported to fit disturbance variables in the model. The approximation values can compensate for the system's control input and improve the robots' tracking ***, this work develops a terminal sliding mode controller and third-order differential processor to determine the rotational torque and reduce the robots' run jitter. Then, Lyapunov's theory proves the uniform ultimate boundedness of the proposed method. Simulation and physical experiments confirm that the technology improves the tracking error convergence speed and stability of robotic fishes.

关键词： Adaptive integral surge line-of-sight approximation robotic fish speed observer

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Fast Coordinated Power Control for Improving Inertial and Voltage Support Capability of Battery Energy Storage systems

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CSEE Journal of Power and Energy systems 2025年第1期11卷 280-295页

作者： Zhen Gong Chengxi Liu Filipe Faria Da Silva Yonghao Gui Claus Leth Bak School of Electrical Engineering and Automation Wuhan UniversityWuhan430072China Department of Energy Technology Aalborg University9220 AalborgDemark Department of Electronic Systems Aalborg University9220 AalborgDenmark

This paper proposes a fast coordinated power control method based on two augmented channels(AC)in battery energy storage system(BESS)to improve inertial and voltage support capability,i.e.,a frequency-reactive power channel(FRPC)and a voltage-real power channel(VRPC).For frequency control in the power distribution system with high resistance/inductance ratio,the coupling mechanism between rate of change of frequency(RoCoF)and required reactive power(RRP)of grids is analyzed,indicating RoCoF is proportional to ***,RoCoF is utilized in FRPC to generate reactive power for complementary inertial emulating ***,for voltage control,coupling characteristics between rate of change of voltage(RoCoV)and demanding real power(DRP)of grids is also studied,revealing RoCoV is proportional to ***,it can be adopted in VRPC to generate real power for complementary voltage ***,grid-voltage-modulated direct power control is selected as the inner power control loop to track power references with faster dynamic performance compared with traditional vector-oriented ***,simulations and hardware-in-loop experiments validate improvement in performance of grid frequency and voltage control based on the proposed method.

关键词： Augmented channels direct power control frequency-reactive power channel(FRPC) inertial and voltage support voltage-real power channel(VRPC)

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Knowledge-Guided Evolutionary Optimization for Large-Scale Air Defense Resource Allocation

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2024年第12期5卷 6267-6279页

作者： Li, Wenhua Wang, Rui Heng, Yong Zhang, Tao Wang, Ling National University of Defense Technology College of Systems Engineering Changsha410073 China Hunan Key Laboratory of Multi-Energy System Intelligent Interconnection Technology Changsha410073 China Xiangjiang Laboratory Changsha410073 China Beijing Institute of Electronic System Engineering Beijing100854 China Tsinghua University Department of Automation Beijing100084 China

In the high-stakes domain of air defense, resource allocation is a challenging optimization problem that involves many constraints and requires fast solutions. Previous work mainly addressed the single-intercept sensor-weapon-target assignment problem, which assigns missiles and radars to targets without optimizing the launch time. However, this problem can become large-scale and difficult to solve when saturation attack tactics are employed. Therefore, we propose a more realistic model that allows multiple missiles to intercept the same target and considers the launch time as a decision variable. We also incorporate radar relay guidance to maximize the interception probability and minimize the missile cost. To solve this model efficiently, we present a novel evolutionary algorithm with linear population size reduction (LPSR) and knowledge-guided strategies, called LKEA. Specifically, we design a heuristic method to quickly find the optimal launch time for each missile and a knowledge-guided strategy to use the radar channel collision information to guide the evolution. Experimental results show that LKEA is competitive in solving small/medium/large air defense resource allocation problems (ADRAPs). © 2020 IEEE.

关键词： Combinatorial optimization

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