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32nd IEEE International Symposium on Industrial Electronics, ISIE 2023

作者： Genaro-Muñoz, Xavier Valderrama-Blavi, Hugo Giral, Roberto Department of Electronic Electrical and Automatic Control Engineering Tarragona Spain

ISBN: (纸本)9798350399714

This paper investigates selective power transfer between users located in a power distribution line by the implementation of a multifrequency bus. Multifrequency power distribution implies the generation of additional power channels on the same distribution bus by combining two or more power transfers at different frequencies. To analyze the feasibility of this proposal, a point-to-point power transfer using a second frequency power channel in a power distribution line is proposed. To do that, an AC switching power source is required to inject that power in the grid, and an AC switching power sink to extract it and deliver it to the receiver load. Essentially, AC switching power injectors and extractors have the same circuit that consists of two inverters, one behaving as a voltage-source/sink and the other working as a current-source/sink. A proof-of-concept demonstrator is being developed to test the operation of the injector/extractor conversion block and the performance of the multifrequency bus at grid's third harmonic. © 2023 IEEE.

关键词： Electric power distribution

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Automated Machine Learning Evaluation of Squat Movement Patterns Using Smartphone and CoreML 12

Automated Machine Learning Evaluation of Squat Movement Patt...

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12th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS 2023

作者： Sokolowska, Marta Podpora, Michal Opole University of Technology Faculty of Electrical Engineering Automatic Control and Informatics Opole45-758 Poland

ISBN: (纸本)9798350358056

There is a vast diversity of Machine Learning use cases, and both the hardware and the methodology itself are constantly getting better. This article presents a very specific use case - the recognising, classifying, and evaluation of human physical activity by using just a video stream from a smartphone and potentially instructing people how to exercise to get better results. The paper presents two key aspects of the challenge: (1) defining the problem in the physical activity domain and choosing a proper ML approach and tool, and (2) conducting the experiment using consumer-grade hardware (a smartphone) to evaluate if the proposed methodology is applicable using an easy-to-use tool and widely accessible hardware for users with limited (or without) Machine Learning experience. Chapter II presents the process of gathering and preparing the dataset, while the next chapter presents the creation of a Machine Learning model, model training using the acquired dataset, and the model performance. It was possible to obtain the result of 92.4% validation accuracy for the squat movement pattern classification model. The trained model can be used in an ML smartphone application for evaluation of user-provided examples of squats. © 2023 IEEE.

关键词： action classiication Artiicial Intelligence Machine Learning movement patterns pattern recognition video analysis

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Architecture of AC-DC Energy Nodes in Supergrids: A Technical Foundation for Future Renewable Integration 5

Architecture of AC-DC Energy Nodes in Supergrids: A Technica...

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5th National and the 1st International Conference on Applied Research in electrical engineering, AREE 2025

作者： Mousavi, Mohammad Hossein Moradi, Hassan Rouzbehi, Kumars Razi University Department of Computer and Electrical Engineering Kermanshah Iran University of Seville Department of System Engineering and Automatic Control Seville Spain

ISBN: (纸本)9798350377170

The AC-DC Energy Nodes (ADENs) concept offers a transformative approach to modernizing power grids, particularly in the context of supergrids. By centralizing power flows from diverse renewable energy sources, such as offshore wind farms, ADENs enable efficient long-distance power transmission through HVDC technology. This design enhances the balance of supply and demand across regions and countries, significantly improving grid stability and resilience. However, the implementation of ADENs presents substantial technical, regulatory, and cybersecurity challenges. This study delves into these challenges while also addressing the geopolitical complexities of transnational connections, underscoring the critical importance of policy alignment for successful deployment. © 2025 IEEE.

关键词： Wind power integration

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IGBT Temperature Field Monitoring Based on Reduced-order Model

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CES Transactions on electrical Machines and Systems 2023年第2期7卷 129-136页

作者： Ziyu Zhou Yi Su Xu Zhang Chengde Tong Ping Zheng Mingjun Zhu School of Electrical Engineering&Automation Harbin Institute of TechnologyHarbin 150001China IEEE Flight control department Xi'an Flight Automatic Control Research InstituteXi'an 710076China

With the rapid development of the world economy,IGBT has been widely used in motor drive and electric energy *** order to timely detect the fatigue damage of IGBT,it is necessary to monitor the junction temperature of *** order to realize the fast calculation of IGBT junction temperature,a finite element method of IGBT temperature field reduction is proposed in this ***,the finite element calculation process of IGBT temperature field is introduced and the linear equations of finite element calculation of temperature field are *** field data of different working conditions are obtained by finite element simulation to form the sample *** the covariance matrix of the sample space is constructed,whose proper orthogonal decomposition and modal extraction are carried *** basis vector space is selected to complete the low dimensional expression of temperature vector inside and outside the sample ***,the reduced-order model of temperature field finite element is obtained and *** results of the reduced order model are compared with those of the finite element method,and the performance of the reduced-order model is evaluated from two aspects of accuracy and rapidity.

关键词： IGBT Junction temperature Proper orthogonal decomposition Reduced-order model

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ELCD-NSC2: a novel early lung cancer detection and non-small cell classification framework

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Neural Computing and Applications 2024年第24期36卷 15149-15164页

作者： Helaly, Hadeer A. Badawy, Mahmoud El-Gendy, Eman M. Haikal, Amira Y. Electrical Engineering Department Faculty of Engineering Damietta University Damietta Egypt Computers and Control Systems Engineering Department Faculty of Engineering Mansoura University Mansoura Egypt Department of Computer Science and Informatics Taibah University Medina Saudi Arabia

The survival rate of lung cancer relies significantly on how far the disease has spread when it is detected, how it reacts to the treatment, the patient’s overall health, and other factors. Therefore, the earlier the lung cancer diagnosis, the higher the survival rate. For radiologists, recognizing malignant lung nodules from computed tomography (CT) scans is a challenging and time-consuming process. As a result, computer-aided diagnosis (CAD) systems have been suggested to alleviate these burdens. Deep-learning approaches have demonstrated remarkable results in recent years, surpassing traditional methods in different fields. Researchers are currently experimenting with several deep-learning strategies to increase the effectiveness of CAD systems in lung cancer detection with CT. This work proposes a deep-learning framework for detecting and diagnosing lung cancer. The proposed framework used recent deep-learning techniques in all its layers. The autoencoder technique structure is tuned and used in the preprocessing stage to denoise and reconstruct the medical lung cancer dataset. Besides, it depends on the transfer learning pre-trained models to make multi-classification among different lung cancer cases such as benign, adenocarcinoma, and squamous cell carcinoma. The proposed model provides high performance while recognizing and differentiating between two types of datasets, including biopsy and CT scans. The Cancer Imaging Archive and Kaggle datasets are utilized to train and test the proposed model. The empirical results show that the proposed framework performs well according to various performance metrics. According to accuracy, precision, recall, F1-score, and AUC metrics, it achieves 99.60, 99.61, 99.62, 99.70, and 99.75%, respectively. Also, it depicts 0.0028, 0.0026, and 0.0507 in mean absolute error, mean squared error, and root mean square error metrics. Furthermore, it helps physicians effectively diagnose lung cancer in its early stages and allows spe

关键词： Image classification

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Development of Aero AI for Initial Flight Shape Design of Small Fixed-Wing UAV 4

Development of Aero AI for Initial Flight Shape Design of Sm...

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4th IEEE International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2024

作者： Ye, Yu-Lin Tseng, Shih-Ting Huang, Ching-Huei Tsai, Kun-Lin Feng Chia University Department Automatic Control Engineering Taichung Taiwan Electrical Engineering Tunghai University Taichung Taiwan

ISBN: (纸本)9798350360721

We created Aero Artificial Intelligence (Aero AI), an innovative AI platform for optimal Unmanned Aerial Vehicle (UAV) flight shape design. Aero AI guides designers to select UAV shape parameters intuitively. It assembles an initial UAV model based on selected parameters for shape evaluation. Then, it utilizes Stanford University Unstructured (SU2) for aerodynamic analysis and employs AI for neural network deep learning to generate reliable aerodynamic parameters without extensive wind tunnel tests for design. Aero AI reduces reliance on wind tunnel tests, saves energy and resources, and expedites the shape design process. AI platforms have permeated human life at an expeditious pace in recent years. Aero AI furnishes instantaneous and personalized responses to aerodynamic parameters. The development of such platforms facilitates a diverse spectrum of aerodynamic configurations and designs from commonplace knowledge-based inquiries to intricate domain-specific topics. By employing natural language processing methodologies, user interrogatives and proffer corresponding resolutions are enabled. The Aero AI platform applies continuous learning algorithms to augment response accuracy and relevance. Being intelligent inquiry-based, ubiquitous applications across myriad domains are possible, including customer service provisioning on web-based platforms, educational instruction aids, enterprise knowledge management, and issue resolution paradigms. © 2024 IEEE.

关键词： Deep learning

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Unsupervised Learning-Based Methodology for Detection of Postural Anomalies in Wheelchair Users

Unsupervised Learning-Based Methodology for Detection of Pos...

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2023 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2023

作者： Vermander, Patrick Mancisidor, Aitziber Fortino, Giancarlo Cabanes, Itziar Gravina, Raffaele Department of Automatic Control and System Engineering Bilbao Spain Department of Informatics Modeling Electronics and Systems Engineering Rende Italy

ISBN: (纸本)9798350337020

Postural monitoring in wheelchair users is a topic of growing interest. The detection of changes in the sitting patterns of these patients may serve to detect changes in their functional status and be able to adapt rehabilitation early. For this reason, this paper presents a methodology for the detection of specific postural anomalies that, unlike previous works, adopts unsupervised learning. The proposed methodology involves data dimensionality reduction using Principal Component Analysis, and the application of K-means clustering to group different normal posture states. The anomalies are detected using a threshold approach, where data points that fall outside a certain threshold are considered as anomalies. The results show that the methodology is effective in identifying anomalies with a high degree of accuracy (around 90%). © 2023 IEEE.

关键词： Anomaly detection Kmeans PCA Postural monitoring Wheelchair

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Multidimensional signed Friedkin-Johnsen model 63

Multidimensional signed Friedkin-Johnsen model

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63rd IEEE Conference on Decision and control, CDC 2024

作者： Razaq, Muhammad Ahsan Altafini, Claudio Linköping University Division of Automatic Control Department of Electrical Engineering LinköpingSE-58183 Sweden

ISBN: (纸本)9798350316339

The multidimensional signed Friedkin-Johnsen (SFJ) model introduced in this paper describes opinion dynamics on a signed network in which the agents hold opinions on multiple interconnected topics and are allowed to be stubborn. In the paper, we establish sufficient conditions for the stability of the multidimensional SFJ model, and analyze convergence to consensus in concatenated instances of this model. © 2024 IEEE.

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Path Planning for Data Collection Multiagent System with Priority and Moving Nodes in a Sensing Field with Obstacles

Periodica polytechnica Electrical engineering and computer s...

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Periodica polytechnica electrical engineering and computer science 2024年第3期68卷 309-318页

作者： Szénási, Sára Harmati, István Department of Control Engineering and Information Technology Faculty of Electrical Engineering and Informatics Budapest University of Technology and Economics Magyar tudósok körútja 2 Budapest1117 Hungary

Nowadays there is a more and more common need for one-off data collection in a specified area. For example, in case of searching for the survivors of disasters or wars, or for skiers who get into trouble. The simplest way of collecting such data is using wireless sensor network (WSN). However, data transmission within the network uses great amount of energy that may significantly reduce the lifetime and operation time of the battery-operated sensors. For this reason, the data transfer between the given sensor nodes is carried out by robots. In order to minimize the latency of data collection, it is possible to use cooperating robots. It frequently occurs that one of the nodes requires more urgent visit than the other ones, for example, the serious injuries require urgent medical attendance. The sensor nodes can also be moved to collect more usable data in a larger field. To solve this, path planning for data collection from priority and moving nodes are also presented here. The algorithm developed here to perform the one-off data collection operates so that the agents start from preliminary determined or random points and then visit all the sensor nodes, download the data from these nodes and after this arrive at a designated point where they upload the collected information. The goal here is the minimization of cost that include not only the walk-through time but also the consequences of the late visit of the higher priority nodes. The optimization is solved using the ant colony optimization. © 2024 Budapest University of Technology and Economics. All rights reserved.

关键词： Motion planning

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PV Simulator Packaged as a Standalone Application Based Docker Container 8

PV Simulator Packaged as a Standalone Application Based Dock...

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8th International Symposium on electrical and Electronics engineering, ISEEE 2023

作者： Burlibasa, Adriana Paduraru, Romeo Munteanu, Traian Dache, Cristinel Dumitriu, Teodor 'Dunǎrea de Jos' University of Galati Automatic Control and Electrical Engineering Department Galati Romania 'Dunǎrea de Jos' University of Galai Automatic Control and Electrical Engineering Department Galai Romania

ISBN: (纸本)9798350301670

With the new feature MATLAB Compiler™ available starting R2020b Matlab, an application developed in Matlab can be packaged as docker standalone application and deployed using Docker® container service. The target system running the standalone application must be a Linux distribution and requires a MATLAB® Runtime installation and an active docker service. The proposed standalone application is a PV simulator GUI programmatically implemented in Matlab based on two photovoltaic (PV) panels' data sheets. The obtained PV simulator is launched in both MATLAB® environment, where initial was designed and externally in a Linux environment as a standalone application independent of the design program. No differences between the reported results, this proving the possibility of large-scale usability of what was designed. © 2023 IEEE.

关键词： Containers

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