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4th International Conference on electrical, Computer, Communications and Mechatronics engineering, ICECCME 2024

作者： Khalid, Hassan Mekhilef, Saad Mubin, Marizan Seyedmahmoudian, Mehdi Erel, Mehmet Zahid Bassi, Hussain Alshammari, Obaid University of Malaya Department of Electrical Engineering Kuala Lumpur Malaysia School of Science Computing and Engineering Technologies Swinburne University of Technology Department of Electrical Engineering MelbourneVIC Australia University of Malaya Department of Electrical Engineering Kuala Lumpur Malaysia School of Science Computing and Engineering Technologies Swinburne University of Technology MelbourneVIC Australia Ankara Yildirim Beyazit University Department of Energy Systems Engineering Ankara Turkey Al Jubail Saudi Arabia College of Engineering University of Hail Department of Electrical Engineering Hail Saudi Arabia

ISBN: (纸本)9798350391183

Inductive wireless charging has emerged as a viable solution for charging electric vehicles (EVs) both in stationary mode and on the go, i.e., dynamic charging. EVs are produced at a commercial level, and their wired charging stations are widely available. However, challenges still restrict the development of wireless charging infrastructure on a commercial scale. One significant challenge is the presence of foreign objects on the magnetic coupler surface. Although several foreign object detection (FOD) methods exist, the implementation of each method is cost-dependent. Among these methods, the parametric detection method is considered the most cost-effective. However, the effective precision of this method is still debatable. In this article, the performance of the magnetic coupler is analyzed under the influence of different materials as foreign objects. The analysis presented in this article is threefold. Firstly, a mathematical model of the magnetic coupler in the presence of a foreign object is developed. Secondly, the effect of different materials is analyzed as a function of coil parameters, including inductance, resistance, and coil losses. Lastly, the magnetic field distribution and magnitude are studied using finite element analysis (FEA). The influence of these materials is ultimately evaluated in terms of output power losses and efficiency. The study concludes that the presence of aluminium as a foreign object is responsible for significant power losses in the wireless power transfer system. © 2024 IEEE.

关键词： Charging stations

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Towards the New XAI: A Hypothesis-Driven Approach to Decision Support Using Evidence 27

Towards the New XAI: A Hypothesis-Driven Approach to Decisio...

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27th European Conference on Artificial Intelligence, ECAI 2024

作者： Le, Thao Miller, Tim Sonenberg, Liz Singh, Ronal School of Computing and Information Systems The University of Melbourne Australia School of Electrical Engineering and Computer Science The University of Queensland Australia CSIRO's Data61 Australia

ISBN: (纸本)9781643685489

Prior research on AI-assisted human decision-making has explored several different explainable AI (XAI) approaches. A recent paper has proposed a paradigm shift calling for hypothesis-driven XAI through a conceptual framework called evaluative AI that gives people evidence that supports or refutes hypotheses without necessarily giving a decision-aid recommendation. In this paper, we describe and evaluate an approach for hypothesis-driven XAI based on the Weight of Evidence (WoE) framework, which generates both positive and negative evidence for a given hypothesis. Through human behavioural experiments, we show that our hypothesis-driven approach increases decision accuracy and reduces reliance compared to a recommendation-driven approach and an AI-explanation-only baseline, but with a small increase in under-reliance compared to the recommendation-driven approach. Further, we show that participants used our hypothesis-driven approach in a materially different way to the two baselines. © 2024 The Authors.

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Distributed and Localized Model Predictive Control - Part II: Theoretical Guarantees

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IEEE Transactions on Control of Network systems 2023年第3期10卷 1113-1123页

作者： Alonso, Carmen Amo Li, Jing Shuang Matni, Nikolai Anderson, James California Institute of Technology Computing and Mathematical Sciences Department PasadenaCA91106 United States University of Pennsylvania Department of Electrical and Systems Engineering PhiladelphiaPA19104 United States Columbia University Department of Electrical Engineering and the Data Science Institute New YorkNY10027 United States

Engineered cyberphysical systems are growing increasingly large and complex. These systems require scalable controllers that robustly satisfy state and input constraints in the presence of additive noise: such controllers should also be accompanied by theoretical guarantees on feasibility and stability. In our companion paper, we introduced distributed and localized model predictive control (DLMPC) for large-scale linear systems;DLMPC is a scalable closed-loop MPC scheme in which subsystems need only exchange local information in order to synthesize and implement local controllers. In this article, we provide recursive feasibility and asymptotic stability guarantees for DLMPC. We leverage the system level synthesis framework to express the maximal positive robust invariant set for the closed-loop system and its corresponding Lyapunov function in terms of the closed-loop system responses. We use the invariant set as the terminal set for DLMPC, and show that this guarantees feasibility with minimal conservatism. We use the Lyapunov function as the terminal cost, and show that this guarantees stability. We provide fully distributed and localized algorithms to compute the terminal set offline, and also provide necessary additions to the online DLMPC algorithm to accommodate coupled terminal constraint and cost. In all algorithms, only local information exchange is necessary, and computational complexity is independent of the global system size: we demonstrate this analytically and experimentally. This is the first distributed MPC approach that provides minimally conservative yet fully distributed guarantees for recursive feasibility and asymptotic stability in the nominal and robust settings. © 2014 IEEE.

关键词： Lyapunov methods

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Automating Maritime Risk Data Collection and Identification Leveraging Large Language Models 24

Automating Maritime Risk Data Collection and Identification ...

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24th IEEE International Conference on Data Mining Workshops, ICDMW 2024

作者： Huang, Donghao Fu, Xiuju Yin, Xiaofeng Pen, Haibo Wang, Zhaoxia Singapore Management University School of Computing and Information Systems Singapore Mastercard Research and Development Singapore Agency for Science Technology and Research Institute of High Performance Computing Singapore Tianjin University School of Electrical and Information Engineering China

ISBN: (纸本)9798331530631

Maritime risk research is crucial yet challenging for improving safety, efficiency, and sustainability in maritime operations. This paper presents an innovative method for automating the collection and identification of risk data related to global maritime risks from news sources, addressing the limitations of traditional manual methods. To evaluate the proposed method, different learning-based models, including conventional machine learning approaches and advanced Large Language Models (LLMs) such as GPT-4 and LLaMA-3.1, are comprehensively studied for comparison. In addition, not only do we use popular evaluation metrics to assess the proposed method, but we also introduce a new evaluation metric, called the "Ratio of Valid Categories (RVC),"to evaluate model reliability. The merits of the proposed method are demonstrated across different evaluation metrics. The research results show that the proposed LLM-based methods, particularly the GPT-4-based method, consistently outperform traditional models, significantly improving both the efficiency and accuracy of maritime risk data collection and identification. Our findings contribute to the expanding literature on LLM applications in risk management, demonstrating their potential to transform data collection and identification practices. © 2024 IEEE.

关键词： Contrastive Learning

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Two-Dimensional Z-Complementary Array Quads with Low Column Sequence PMEPRs

Two-Dimensional Z-Complementary Array Quads with Low Column ...

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2023 IEEE International Symposium on Information Theory, ISIT 2023

作者： Das, Shibsankar Banerjee, Adrish Parampalli, Udaya Indian Institute of Technology Kanpur Department of Electrical Engineering Kanpur India University of Melbourne School of Computing and Information Systems VIC Australia

ISBN: (纸本)9781665475549

In this paper, we first propose a new design strategy of 2D Z-complementary array quads (2D-ZCAQs) with feasible array sizes. A 2D-ZCAQ consists of four distinct unimodular arrays satisfying zero 2D auto-correlation sums for non-trivial 2D time-shifts within certain zone. Then, we obtain the upper bounds on the column sequence peak-to-mean envelope power ratio (PMEPR) of the constructed 2D-ZCAQs by using specific auto-correlation properties of some seed sequences. The constructed 2D-ZCAQs with bounded column sequence PMEPR can be used as a potential alternative to 2D Golay complementary array sets for practical applications. © 2023 IEEE.

关键词： Peak-to-Mean Envelope Power Ratio (PMEPR) Z-Complementary Array Quads (ZCAQs) Z-Complementary Pairs (ZCPs)

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Nonlinear model predictive control of a microgrid with a variable efficiency battery storage system 48

Nonlinear model predictive control of a microgrid with a var...

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48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022

作者： Car, Mateja Vasak, Mario Hajihosseini, Mojtaba Lesic, Vinko University of Zagreb Faculty of Electrical Engineering and Computing Laboratory for Renewable Energy Systems Croatia

ISBN: (数字)9781665480253

ISBN: (纸本)9781665480253

This paper presents a microgrid energy flow optimization algorithm with variable battery storage efficiency in order to achieve energy savings and expand the lifespan of the components. The converter efficiency curve is deduced from converter's datasheets and approximated with mathematical functions. The power loss on the battery internal resistance is also included in order to achieve a more accurate model of the complete storage system. The obtained nonlinear model is used in model predictive control formulation and solved by using a sequential linear program (SLP) algorithm. The SLP algorithm iteratively linearizes the model around the current solution and uses corresponding efficiencies over the prediction horizon. Simulations in MATLAB are performed for a 7-day period and compared with a conventional, constant-efficiency battery system model. The results show an improved performance regarding the charging and discharging battery power and the overall savings of 7% in comparison with the conventional model used in model predictive control. © 2022 IEEE.

关键词： Model predictive control

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Numerical Modelling of Multi-Layered Capacitive Electrodes for Biomedical Signals Measurement 45

Numerical Modelling of Multi-Layered Capacitive Electrodes f...

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45th Jubilee International Convention on Information, Communication and Electronic Technology, MIPRO 2022

作者： Klaic, L. Stanesic, A. Cifrek, M. Faculty of Electrical Engineering and Computing Department of Electronic Systems and Information Processing Zagreb Croatia

ISBN: (纸本)9789532331035

In this paper, a concentric cylinder model of the upper arm is used in order to perform a stationary and low-frequency analysis of the electrical field distribution on the capacitive surface electromyography (sEMG) electrode. The four-layered capacitive electrode is implemented, along with the preprocessing printed circuit. The goal of this research is to explore the quality of capacitive coupling between the electrode and skin covered with fabric, as well as the behavior of the implemented electronics, and to appraise the utility of simulation methods. For this purpose, the finite element method within the CST Studio Suite® software is used. The results have confirmed the purpose of implemented electronic components, as well as shown that the proximity of the electrode and thinner fabric layer with greater dielectric permittivity are expected to create stronger capacitive coupling. © 2022 Croatian Society MIPRO.

关键词： Finite element method

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Simplified prescribed performance tracking control of uncertain nonlinear systems

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Science China(Information Sciences) 2022年第8期65卷 291-292页

作者： Quan-Yong FAN Shuoheng XU Bin XU Jianlong QIU School of Automation Northwestern Polytechnical University School of Automation and Electrical Engineering Linyi University Key Laboratory of Complex Systems and Intelligent Computing in Universities of Shandong Linyi University

Dear editor,In practical engineering, some certain transient and steady performance, such as overshoot, adjustment time, and steady-state error, need to meet specific requirements. In order to ensure that the system s...

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Sequential Patch Analysis Framework for Lung Disease Classification 11th

Sequential Patch Analysis Framework for Lung Disease Classi...

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11th International Conference on Future Data and Security engineering, FDSE 2024

作者： Le, Kim-Ngoc T. Le, Duc-Tai Choo, Hyunseung Department of AI Systems Engineering Sungkyunkwan University Seoul Korea Republic of Department of Electrical and Computer Engineering Sungkyunkwan University Seoul Korea Republic of College of Computing and Informatics Sungkyunkwan University Seoul Korea Republic of

ISBN: (纸本)9789819604364

Deep neural network (DNN) models have shown promise in lung disease classification using spectrogram transformations of respiratory sounds. However, these models typically process entire images, which can be computationally expensive, and they require large datasets for effective training. With the largest available respiratory dataset, ICBHI, containing only 920 recordings, training a robust DNN becomes challenging. To address this issue, this paper introduces a simplified DNN framework that incorporates novel techniques such as patch splitting and transfer learning. Specifically, the proposed framework splits the spectrogram image into a sequence of fixed-size patches, effectively reducing computational demands. These patches are processed with the position embeddings by DNN encoders to capture acoustic characteristics, leveraging a pre-trained ImageNet model to make efficient use of the limited dataset. Evaluation experiments on the ICBHI dataset show that the proposed method improves the state-of-the-art 8-class classification accuracy by 1.91%. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Lung cancer

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Computationally Efficient Protective Methodology for Lithium-Ion Battery Cells Based on Safe Sets 11

Computationally Efficient Protective Methodology for Lithium...

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11th IEEE International Conference on systems and Control, ICSC 2023

作者： Leko, Dorijan Rukavina, Filip Matijašić, Matija Bralić, Ivan Vašak, Mario University of Zagreb Faculty of Electrical Engineering and Computing Laboratory for Renewable Energy Systems Zagreb10000 Croatia Battery Systems Engineering Rimac Technology D.o.o. Sveta Nedelja10431 Croatia

ISBN: (纸本)9798350304886

Battery management systems (BMSs) play a crucial role in the reliability of lithium-ion batteries in electric vehicles. A BMS aims to maximize the efficiency and lifespan of the battery cells in the managed battery pack while ensuring the electric vehicle safety. This paper proposes a novel methodology of the BMS based on safe sets. A safe set of the Li-Ion battery cell is the set of admissible states and corresponding admissible currents on a fixed prediction horizon. Thus, the methodology based on safe sets allows one or more current changes, i.e., constant or multidimensional current profiles on the prediction horizon that maintain the posed cell constraints. Furthermore, the paper offers a computational procedure for the safe set approximation for which the nonlinear dual-polarization equivalent circuit model (ECM) of the cell is used. Due to the non-convexity of the safe set of the battery cell, the safe set is constructed as a union of single polytopes for different ranges of state of charge. The proposed methodology is carried out throughout a case study by comparing safe sets with one-, two-, and five-dimensional current profiles. © 2023 IEEE.

关键词： Battery management systems

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