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2023 IEEE International Conference on Electrical, Computer and Energy Technologies, ICECET 2023

作者： Alsarayreh, Saif Süto, Zoltán University of Technology and Economics Department of Automation and Applied Informatics Budapest Budapest Hungary

ISBN: (纸本)9798350327816

The incorporation of real-time Hardware-In-the-Loop (HIL) simulators has become one of the pillars of the power electronics control design cycle. This integration is necessary to verify the effectiveness of controller implementations. Despite the rapid evolution in FPGA devices' computational capacity employed by Hardware-in-the-Loop (HIL) tools, developers are consistently faced with the need to strike a balance between acceptable accuracy and the practicality of implementing models and techniques. The methodology presented in this paper is for implementing a full-bridge converter using the Associate Discrete Circuit (ADC) model, specifically designed for real-time simulator applications. Furthermore, this study presents a novel methodology for parameter selection of (ADC) parameters utilizing the Artificial Bee Colony algorithm (ABC). The utilization of the ADC-based model facilitates the establishment of a uniform converter topology during simulation, irrespective of the switch states. The simulation results demonstrate the effectiveness of the introduced methodology in selecting optimal parameters for an ADC switch-based full-bridge converter, reducing overshoot in the converter's output voltage and current. © 2023 IEEE.

关键词： Artificial bee colony field-programmable gate array Full-bridge converter Optimization algorithm Real-time Simulation Terms-Associate Discrete Circuit

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Fault Diagnosis Using Artificial Neural Network for Two-Level VSI in PMSM Drive System

Fault Diagnosis Using Artificial Neural Network for Two-Leve...

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2023 IEEE International Conference on Electrical, Computer and Energy Technologies, ICECET 2023

作者： Alsarayreh, Saif Süto, Zoltán Budapest University of Technology and Economics Department of Automation and Applied Informatics Budapest Hungary

ISBN: (纸本)9798350327816

A permanent magnet synchronous motor's (PMSM) drive system depends heavily on the voltage source inverter (VSI). However, the VSI shows vulnerability to faults during operation, especially when it comes to open circuit switch faults, which are the most frequent and have the most significant negative impact on the drive system. In order to diagnose Open Circuit Faults (OCF) in the Voltage Source Inverter (VSI) of a three-phase permanent magnet synchronous motor drive system, this work employs the vector average current technique in Clark's transformation and an artificial neural network. Diagnostic variables are computed based on the current distortion to gather details about the fault. An artificial neural network (ANN) is put to use to process the fault information in order to determine and locate the specific location of the faulty switch. The study's simulation results show that the methodology employed effectively identifies and localises open circuit faults in a two-level, three-phase inverter. © 2023 IEEE.

关键词： Artificial Neural Network Fault Detection Open Circuit Fault Permanent Magnet Synchronous Motor Voltage Source Inverter

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An Overview of Drones Communication, Application and Challenge in 5G Network 6

An Overview of Drones Communication, Application and Challen...

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6th Iraqi International Conference on Engineering Technology and its Applications, IICETA 2023

作者： Almaameri, Ihab Blázovics, László Budapest University of Technology and Economics Department of Automation and Applied Informatics Budapest Hungary

ISBN: (纸本)9798350303339

Unmanned aerial vehicles (UAVs), also known as drones, are recently gaining increased research attention across various fields due to their flexibility and application potential. Drones have become increasingly popular in recent years due to their versatility and ability to perform tasks that were previously challenging or impossible. However, the full potential of drone technology has not been realized due to limitations in their communication and control systems. The integration of drone networks into a 5G environment has the potential to transform the capabilities of drones, providing high-speed, low-latency, and reliable communication and control capabilities. In this review paper, we provide an overview of the integration of drone networks into a 5G environment, discussing the technical aspects, potential applications, and challenges of this integration. We also examine the benefits of using 5G networks for drone operations, such as increased range, improved accuracy, and enhanced safety. Finally, we identify future research directions for the integration of drone networks into a 5G environment, highlighting the need for further research in areas such as drone security, energy efficiency, and spectrum management. Overall, this review paper provides a valuable resource for understanding the potential of drones in a 5G network and the challenges that must be addressed to fully realize this potential. © 2023 IEEE.

关键词： Drones

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An open-source software for the simulation of fixational eye movements

An open-source software for the simulation of fixational eye...

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作者： Allgeier, Stephan Anzlinger, Fabian Bohn, Sebastian Mikut, Ralf Neumann, Oliver Reichert, Klaus-Martin Stachs, Oliver Sperlich, Karsten Institute for Automation and Applied Informatics Karlsruhe Germany Rostock University Medical Center Department of Ophthalmology Rostock Germany

Laser-scanning confocal microscopy of the human cornea acquires in vivo images of corneal tissues with cellular resolution, which offers diagnostic potential for a variety of diseases. However, involuntary fixational eye movements induce motion artefacts that pose a challenge for accurate morphometric analysis and particularly for preceding image data fusion steps. Different image registration algorithms promise to eliminate such artefacts, but objective, quantitative evaluation of the registration results is difficult because of the lack of ground truth data. Simulation approaches offer a possibility to close this gap. Existing open-source software for the simulation of fixational eye movements is currently limited to creating drift movement. The present contribution proposes complementary models for microsaccade and tremor components to provide complete simulated fixational eye movement paths. In addition, it reports results from an extensive examination of different model parameter combinations. It is shown that the microsaccade model is capable of reproducing intermicrosaccade intervals that closely resemble experimental data. A software implementation is provided as open-source Python modules. © 2024 The Author(s), published by De Gruyter.

关键词： Image fusion

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Evaluating the Knowledge in Test Engineering Education using a Solar-powered Remote-controlled Flying Probe-Inspired In-Circuit Tester 30

Evaluating the Knowledge in Test Engineering Education using...

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30th IEEE International Symposium for Design and Technology in Electronic Packaging, SIITME 2024

作者： Jurj, Sorin Liviu Rotar, Raul Brincovan, Ioana Opritoiu, Flavius Vladutiu, Mircea Laboratory Computers and Information Technology Department Timisoara Romania Aurel Vlaicu University Department of Automation and Applied Informatics Arad Romania

ISBN: (纸本)9798331539511

This paper presents a solar-powered remote-controlled Flying Probe-Inspired In-Circuit Tester (FPICT) designed to improve individuals' knowledge and practical skills in the Test Engineering Education (TEE) domain. The proposed system consists of a user-friendly modern website that offers three main functions: (a) access to TEE-related documentation and tests, (b) a real-Time webcam feed for remote monitoring, access, control, and execution of real-Time tests on multiple Printed Circuit Boards (PCBs) using the FPICT platform, and (c) performance assessment of users' TEE knowledge improvement. The effectiveness of the FPICT in enhancing TEE knowledge is evaluated by comparing the score distribution of users before and after the initial tests. Additionally, the power consumption of the FPICT platform is measured, and the feasibility of powering the system with solar energy is investigated. Experimental results demonstrate that the remote-controlled FPICT successfully increases the TEE-related knowledge of web users by an average of 26 \% over an average duration of 50 minutes, highlighting its efficacy in teaching theoretical concepts of In-Circuit Testing (ICT) and developing practical skills in the Flying Probe Testing (FPT) domain. © 2024 IEEE.

关键词： Printed circuit boards

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Symmetrical Operation of Four Channel Resonant Boost DC-DC Converters in Continuous Conduction Mode

Symmetrical Operation of Four Channel Resonant Boost DC-DC C...

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2024 International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, PCIM Europe 2024

作者： Hamar, János Stumpf, Péter Bándy, Kristóf Orvai, Róbert Department of Automation and Applied Informatics Faculty of Electrical Engineering and Informatics Budapest University of Technology and Economics Műegyetem rkp. 3 Budapest1111 Hungary

ISBN: (纸本)9783800762620

The steady-state operation of a four channel resonant step-up dc/dc converter is presented and analyzed in continuous current conduction mode (CCM). The converter is equipped with two input channels, four output channels, and facilitates zero voltage (ZVS) and/or zero current switching (ZCS), which help reducing the switching losses. The quasi-sinusoidal waveforms assist in improving the EMI characteristics. The relations among the input and output voltages, with the use of the control variables, are derived. The effect of the control variables on the operation is evaluated. The theoretical results are verified by computer simulations and experimental tests. © VDE VERLAG GMBH · Berlin · Offenbach.

关键词： DC-DC converters

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DIGITAL TWIN DRIVEN ASSEMBLY LINE RE-BALANCING AND DECISION SUPPORT 38

DIGITAL TWIN DRIVEN ASSEMBLY LINE RE-BALANCING AND DECISION ...

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38th ECMS International Conference on Modelling and Simulation, ECMS 2024

作者： Lugaresi, Giovanni Laszlo, Kovacs Tamas, Kornel Department of Mechanical Engineering KU Leuven Leuven Belgium Department of Automation and Applied Informatics Budapest University of Technology and Economics Budapest Hungary

ISBN: (纸本)9783937436845

Recent investments in industrial digitization together with the concrete need for short-term planning capabilities mean digital twins can effectively aid enterprises in the management of their production systems and value chains. This paper introduces a conceptual framework for assembly line re-balancing in the context of Industry 5.0, focusing on manual assembly processes. The framework aims to leverage a digital twin for obtaining a synchronized representation of the current task allocations in the assembly line, and uses data-driven scenario generation methods for investigating alternative balancing solutions that are proposed to operators in real time. A proof-of-concept platform is implemented in a laboratory environment, utilizing an assembly line with industrial components. Preliminary results demonstrate the compatibility of the proposed components within the digital twin framework. The potential applicability to various manual assembly scenarios is discussed, along with considerations for incorporating additional constraints in the evaluation process. ©ECMS Daniel Grzonka, Natalia Rylko, Grazyna Suchacka, Vladimir Mityushev (Editors) 2024.

关键词： Production control

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From News to Summaries: Building a Hungarian Corpus for Extractive and Abstractive Summarization 30

From News to Summaries: Building a Hungarian Corpus for Extr...

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Joint 30th International Conference on Computational Linguistics and 14th International Conference on Language Resources and Evaluation, LREC-COLING 2024

作者： Barta, Botond Lakatos, Dorina Nagy, Attila Nyist, Milán Konor Ács, Judit HUN-REN Institute for Computer Science and Control Hungary Department of Automation and Applied Informatics Budapest University of Technology and Economics Hungary

ISBN: (纸本)9782493814104

Training summarization models requires substantial amounts of training data. However for less resourceful languages like Hungarian, openly available models and datasets are notably scarce. To address this gap our paper introduces HunSum-2 an open-source Hungarian corpus suitable for training abstractive and extractive summarization models. The dataset is assembled from segments of the Common Crawl corpus undergoing thorough cleaning, preprocessing and deduplication. In addition to abstractive summarization we generate sentence-level labels for extractive summarization using sentence similarity. We train baseline models for both extractive and abstractive summarization using the collected dataset. To demonstrate the effectiveness of the trained models, we perform both quantitative and qualitative evaluation. Our dataset, models and code are publicly available, encouraging replication, further research, and real-world applications across various domains. © 2024 ELRA Language Resource Association: CC BY-NC 4.0.

关键词： abstractive summarization extractive summarization Hungarian

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Identifying Developer Positions in AGILE Projects Using BERT Architecture 16

Identifying Developer Positions in AGILE Projects Using BERT...

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16th International Symposium on Electronics and Telecommunications, ISETC 2024

作者： Plosca, Traian-Radu Rus, Bianca-Valeria Pescaru, Alexandru-Mihai Curiac, Daniel-Ioan Politehnica University of Timisoara Department of Automation and Applied Informatics Timisoara Romania Politehnica University of Timisoara Department of Computer and Information Technology Timisoara Romania

ISBN: (纸本)9798350390865

The paper is a solution based on machine learning for automatically classifying job titles in AGILE software industry projects. Our methodology incorporates fine-tuning techniques to accurately identify job titles from task descriptions. By utilizing the BERT model, fine-tuned on a dataset of job postings in the software industry, we achieve good performance in understanding contextual information and the semantic nuances of job skills and requirements. The results indicate the model's ability to adapt to various industry projects and accurately identify the project contributors title. These findings highlight the potential of transformer-based models in improving the efficiency and effectiveness of project management practices. © 2024 IEEE.

关键词： Semantics

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Uncertainty-aware particle segmentation for electron microscopy at varied length scales

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npj Computational Materials 2024年第1期10卷 1961-1969页

作者： Luca Rettenberger Nathan J.Szymanski Yan Zeng Jan Schuetzke Shilong Wang Gerbrand Ceder Markus Reischl Institute for Automation and Applied Informatics(IAI) Karlsruhe Institute of Technology(KIT)KarlsruheGermany Department of Materials Science&Engineering UC Berkeley BerkeleyCA 94720USA Materials Sciences Division Lawrence Berkeley National LaboratoryBerkeleyCA 94720USA

Electron microscopy is indispensable for examining the morphology and composition of solid materials at the sub-micron *** study the powder samples that are widely used in materials development,scanning electron microscopes(SEMs)are increasingly used at the laboratory scale to generate large datasets with hundreds of *** these images to identify distinct particles and determine their morphology requires careful analysis,and automating this process remains *** this work,we enhance the Mask R-CNN architecture to develop a method for automated segmentation of particles in SEM *** address several challenges inherent to measurements,such as image blur and particle ***,our method accounts for prediction uncertainty when such issues prevent accurate segmentation of a *** that disparate length scales are often present in large datasets,we use this framework to create two models that are separately trained to handle images obtained at low or high *** testing these models on a variety of inorganic samples,our approach to particle segmentation surpasses an established automated segmentation method and yields comparable results to the predictions of three domain experts,revealing comparable accuracy while requiring a fraction of the *** findings highlight the potential of deep learning in advancing autonomous workflows for materials characterization.

关键词： particle scales hundreds

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