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4th International Conference on Smart Grid Metrology, SMAGRIMET 2023

作者： Simic, Zvonimir Misljenovic, Nemanja Dubravac, Marina Topic, Danijel Josip Juraj Strossmayer University of Osijek Faculty of Electrical Engineering Computer Science and Information Technology Osijek Osijek Croatia

ISBN: (纸本)9798350323597

This paper investigates the consumption, and the cost of electricity for different configurations of prosumers in Croatia and additionally considers the current increase in electricity prices. In April 2022, electricity prices for households increased by 15%. Furthermore, from October 2022, electricity prices for households with annual electricity consumption above 5000 kWh are 50% higher than for households with annual electricity consumption below 5000 kWh. The load shifting from a period with a higher price to a period with a lower price can reduce electricity costs but cannot reduce the total amount of electricity imported from the distribution grid. Therefore, there is a possibility to install a PV power plant to meet consumers' own needs for electricity and to reduce the total amount of electricity imported from the distribution grid. Prosumers with different configurations regarding a PV power plant, battery energy storage, and optimal load shifting are simulated, and the total amount of electricity imported from the grid and total electricity costs are compared. According to simulation results, a prosumer with a PV power plant can reduce electricity consumption below 5000 kWh. On the other side, a prosumer with a PV power plant, battery energy storage, and optimal load shifting can significantly reduce total electricity costs. © 2023 IEEE.

关键词： Electric batteries

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A Novel Porcelain Fingerprinting Technique

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IEEE Transactions on Emerging Topics in Computing 2025年

作者： Wang, Chengjie Zhang, Yuejun Zhou, Ziyu Ningbo University Faculty of Electrical Engineering and Computer Science Ningbo315211 China

Porcelain, as a significant cultural heritage, embodies the wisdom of human civilization. However, existing anti-counterfeiting and authentication technologies for porcelain are often unreliable and costly. This paper proposes a physical unclonable functions (PUF) design based on crack physical feature extraction for the anti-counterfeiting and authentication of Gold-Wire porcelain. The proposed method generates PUF information by extracting inherent physical deviations in the surface cracks of Gold-Wire porcelain. First, a standard crack extraction process is established using digital image processing to obtain crack information from the porcelain surface. Then, a physical feature extraction model based on the chain code encoding technique and the Delaunay triangulation technique is used to derive the physical feature values from the cracks. Subsequently, a PUF encoding algorithm is designed to convert these physical feature values into a PUF response. Finally, the security and reliability of the designed PUF are evaluated, and a PUF-based porcelain authentication protocol is developed. Experimental results show that the proposed PUF exhibits 50.16% uniqueness and 98.85% reliability, and the PUF data successfully passed the NIST randomness test, demonstrating that the proposed technology can effectively achieve low-cost, high-reliability anti-counterfeiting for commercial porcelain. © 2013 IEEE.

关键词： Porcelain

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Universal Fourier optics model for virtual coherence scanning interferometers 9

Universal Fourier optics model for virtual coherence scannin...

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Modeling Aspects in Optical Metrology IX 2023

作者： Lehmann, Peter Pahl, Tobias Riebeling, Jörg Measurement Technology Faculty of Electrical Engineering and Computer Science University of Kassel Wilhelmshoeher Allee 71 Kassel34121 Germany

ISBN: (数字)9781510664487

ISBN: (纸本)9781510664470

Optical surface topography measurements sometimes suffer from systematic errors. In order to predict such deviations, modeling of optical profilers is a substantial part of the European project TracOptic (Traceable Optics). Within the framework of this project, we recently developed the UFO (Universal Fourier Optics) model, which simulates virtual CSI measurements of surface topographies that fulfill the requirements of the scalar Kirchhoff approximation. The model enables a fast computation of 'measured' surface topographies as it is based on discrete Fourier transforms. It treats the surface under investigation as a two-dimensional phase object assuming a linear dependence of the interference phase on surface height and axial spatial frequency. The scattered light field is transferred to the Fourier domain and multiplied by a partial two-dimensional transfer function (TF) representing a horizontal cross section of the three-dimensional TF at a certain axial spatial frequency or evaluation wavelength, respectively. The TF includes parameters of the interference microscope and the reference field distribution. Inverse Fourier transform enables the reconstruction of the phase object. The coherence peak position of an interference signal results from numerical differentiation with respect to the axial spatial frequency and is generally used to overcome the 2π ambiguity of the phase profile. Parameters affecting final results of reconstructed surface topographies are the central wavelength and the spectral bandwidth of the illuminating light as well as the numerical aperture of the objective lens and the chosen evaluation wavelength. We discuss results of the UFO model with respect to the prediction of systematic deviations of measured surface topographies. © 2023 SPIE.

关键词： Function evaluation

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A variable structure model of neurons’ application in computer vision

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Multimedia Tools and Applications 2025年 1-11页

作者： Sridi, Alaeddine Attia, Mouna Bouallegue, Kais Electronics and Micro-Electronics Laboratory Faculty of Sciences of Monastir University of Monastir Monastir Tunisia The Higher Institute of Computer Science and Communication Technologies of Hammam Sousse University of Sousse Sousse Tunisia Laboratory of Computer Science Parallelism and Intelligent Communicating Systems Faculty of Sciences of Tunisia University of Tunis ELManar Tunis Tunisia Department of Electrical Engineering Higher Institute of Applied Sciences and Technology of Sousse University of Sousse Sousse Tunisia

The neuron doctrine defines the neuron as the basic unit of the nervous system, which drives the dynamic behavior of our organs. This has led to neurons becoming the focus of modern neuroscience research and to the rise of neurocomputing, in which we try to digitally simulate human behavior. The goal being to better understand the human nervous system and gain more control over neuron-related diseases, helping doctors establish faster and more reliable medical diagnoses. In this context, we aim to simulate eye diseases and vision problems by convolving input images using a new class of neural networks based on a variable structure model of neurons presented in [1]. In this work, we focus on recreating the common convolution filters as a first step. This is the first time in neurocomputing literature that dendritic neurons have been used for dynamic convolution kernels generation and eye diseases simulation. We start with a presentation of our upgrades to the model’s flexibility and accuracy. Then, we propose a novel kernel generator algorithm to convolve the input images. Finally, we show its promising results in creating the outline, pixelization, and night convolution kernels, as well as control some metrics, including brightness and data retention. © The Author(s), under exclusive licence to Springer science+Business Media, LLC, part of Springer Nature 2025.

关键词： Neurons

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Multi-Access Edge Computing Using Intelligent Mobile User Resource Allocation In 6G 4

Multi-Access Edge Computing Using Intelligent Mobile User Re...

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4th IEEE International Maghreb Meeting of the Conference on sciences and Techniques of Automatic Control and computer engineering, MI-STA 2024

作者： Saeed, Mamoon M. Saeed, Rashid A. Mokhtar, Rania A. Gaid, AbdulGuddoos S. A. Ahmed, Zeinab E. Elbasheir, Mohammed S. Faculty of Engineering Department of Communications and Electronics Engineering Yemen Taif University Faculty of Engineering Department of Electrical and Electronic Engineering Altaif Saudi Arabia College of Computers and Information Technology Taif University Department of Computer Engineering Taif21944 Saudi Arabia Taiz University Faculty of Engineering & Information Technology Dept. of Communication & Computer Engineering Taiz Yemen International Islamic University Malaysia Department of Electrical and Computer Malaysia School of Electronic Engineering Sudan University of Science and Technology Khartoum Sudan

ISBN: (纸本)9798350372632

Edge computing plays a crucial role in the advancement of Beyond 5G (B5G) and 6G networks. The substantial growth in network traffic and computational requirements necessitates the implementation of multi-access edge computing (MEC) as a viable solution. MEC aims to bring the capabilities of cloud computing closer to end-users by integrating them into the radio access network (RAN). This research introduces an optimal approach to connect mobile users with MEC hosts and access points, effectively distributing radio and computing resources to individual mobile users. The objective is achieved by lowering the total user transmit power while abiding by latency constraints in both the communication and computation phases, using the Grey Wolf Optimization technique (GWO). A comparison to alternative smart techniques demonstrates the effectiveness of the suggested approach © 2024 IEEE.

关键词： 5G mobile communication systems

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Renewable Integration for Green Urban Mobility: A Case Study of Public Transport Depot Electrification 14

Renewable Integration for Green Urban Mobility: A Case Study...

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14th International Conference on Power, Energy and electrical engineering, CPEEE 2024

作者： Colombo, Cristian Giovanni Saldarini, Alessandro Longo, Michela Ota, Ryosuke Politecnico di Milano Department of Energy Milan Italy Tokyo Metropolitan University Department of Electrical Engineering and Computer Science Faculty of Systems Design Japan

ISBN: (纸本)9781643685199

This paper analyses an electrification strategy for a depot for a public transport company, through an optimized model. The case study analyses both the transition of a depot able to host 10 buses towards e-buses and proposes the integration of a micro-grid, powered by PV panels to power the e-buses in a sustainable way. The study addresses key challenges such as spatial constraints, passenger demand, and financial considerations, through a Genetic Algorithm (GA). The analysis encompasses two scenarios: a mixed fleet of electric and diesel buses and an exclusive focus on e-buses. The study highlights the importance of considering both electric and diesel buses in fleet optimization, and combined with renewables emphasize the advantages of operational flexibility and sustainability. Thanks to the implementation of a micro-grid capable of providing 1123.87 kWh/day to power the e-buses as much as possible. © 2024 The Authors.

关键词： Electric buses

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A New Membrane Algorithm Based on Quasi-Affine TRansformation Evolution for Optimization Problems 1

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15th International Conference on Genetic and Evolutionary Computing, ICGEC 2023

作者： Wang, Xiaopeng Snášel, Václav Mirjalili, Seyedali Chu, Shu-Chuan Shehadeh, Hisham A. Bai, Zhonghai Faculty of Electrical Engineering and Computer Science VŠB-Technical University of Ostrava Ostrava70800 Czech Republic Centre for Artificial Intelligence Research and Optimisation Torrens University Australia Brisbane4006 Australia College of Computer Science and Engineering Shandong University of Science and Technology Qingdao266590 China Faculty of Computer Science and Informatics Amman Arab University Amman11953 Jordan

ISBN: (数字)9789819700684

ISBN: (纸本)9789819700677

This paper develops a new meta-heuristic algorithm, called Membrane Algorithm based on Quasi-Affine TRansformation Evolution (MA-QUATRE). The proposed algorithm combines the principles of QUATRE, the one-level membrane structure, and the rules of membrane systems. The different operations of QUATRE are for each inner elementary membrane and outer skin membrane, and the transformation/communication is like rules in membrane systems. For the effectiveness of MA-QUATRE, it is first evaluated on the CEC2022 benchmark and compared with five QUATRE-related algorithms. Further, the proposed algorithm is used to solve two engineering design problems (tension/compression spring and pressure vessel design) and compared with the original QUATRE and six state-of-the-art algorithms. Finally, experimental results show that the proposed MA-QUATRE is a competitive algorithm for optimization problems. The source codes of this algorithm can be found in https://***/matlabcentral/fileexchange/134372-ma-quatre and https://***/wangxper/***. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Membranes

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The UbiLAB Framework for Remote Laboratories 30

The UbiLAB Framework for Remote Laboratories

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30th International Conference on Systems, Signals and Image Processing, IWSSIP 2023

作者： Kalendar, Marija Kokolanski, Zivko Gerazov, Branislav Nadzinski, Gorjan Poposka, Marija Zlatkova, Aleksandra Donchevski, Filip Markovska, Marija Sapeha, Anastasiia Karpov, Kirill Efnusheva, Danijela Gleich, Dusan Sarjas, Andrej Pongrac, Blaz Siemens, Eduard Ss Cyril and Methodius University Faculty of Electrical Engineering and Information Technologies Skopje Macedonia Anhalt University of Applied Sciences Department of Electrical Mechanical and Industrial Engineering Köthen Germany University of Maribor Faculty of Electrical Engineering and Computer Science Maribor Slovenia

ISBN: (纸本)9798350337297

Starting from the period of the Covid-19 pandemic, when the presence of students in the university laboratories was very limited, the research work on remote laboratories significantly increased. The most affected aspect of students' study experience at that time were the laboratory experiments intended to be conducted on-premises, in the university laboratories. The UbiLAB framework was envisioned as a digital space for implementing and conducting laboratory work and experiments that are rarely completely transferred into the digital world. Here we have identified two most difficult challenges: achieving a nearly realistic substitute for learning experiences in the actual physical laboratories, and a nearly realistic substitute for the social element of collaborative learning and 'making friends' in the process. The innovative cloud-based UbiLAB framework addresses both challenges, digitizing various and diverse actual laboratory experiments through a simple and widely available platform, while enhancing the reality of students' experience in the process. © 2023 IEEE.

关键词： Students

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An ensemble-based framework for biomedical classification problems

An ensemble-based framework for biomedical classification pr...

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2023 IEEE Zooming Innovation in Consumer Technologies Conference, ZINC 2023

作者： Dudjak, Mario Zoric, Bruno Bajer, Drazen Josip Juraj Strossmayer University of Osijek Faculty of Electrical Engineering Computer Science and Information Technology Osijek Osijek Croatia

ISBN: (纸本)9798350347722

Model selection is an essential step when applying machine learning to classification problems. It is typically carried out by the practitioner who strives to identify the most suitable classifier for a given problem. Given the variety of classifiers available and the difficulty in predicting which one will yield the best performance depending on the characteristics of the problem, this is by no means a simple task. Biomedical problems pose a significant challenge in this regard due to their numerous data intrinsic characteristics that are known to impair classification performance. Given that different classifiers perform well for different biomedical problems, combining them into an ensemble would seem practical. However, the practitioner still needs to determine how to combine them. This paper presents an ensemble-based framework that automates the training and combination of different classifiers in order to relieve practitioners of this burden whilst obtaining highly competitive performance. The effectiveness of the proposed framework was evaluated on several biomedical problems from the literature. © 2023 IEEE.

关键词： Optimization

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Enhancements of SDR-Based FPGA System for V2X-VLC Communications

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computers, Materials & Continua 2021年第9期68卷 3629-3652页

作者： Lukas Danys Radek Martinek Rene Jaros Jan Baros Petr Simonik Vaclav Snasel Department of Cybernetics and Biomedical Engineering Faculty of Electrical Engineering and Computer ScienceVSB–Technical University of OstravaOstrava-Poruba70800Czechia Department of Electronics Faculty of Electrical Engineering and Computer ScienceVSB–Technical University of OstravaOstrava-Poruba70800Czechia Department of Computer Science Faculty of Electrical Engineering and Computer ScienceVSB–Technical University of OstravaOstrava-Poruba70800Czechia

This pilot study focuses on a real measurements and enhancements of a software defined radio-based system for vehicle-to everything visible light communication(SDR-V2X-VLC).The presented system is based on a novel adaptive optimization of the feed-forward software defined equalization(FFSDE)methods of the least mean squares(LMS),normalized LMS(NLMS)and QR decomposition-based recursive least squares(QR-RLS)*** parameters of adaptive equalizations are adjusted in real-time to reach the best possible *** were carried out on a conventional LED Octavia III taillight drafted directly from production line and universal software radio peripherals(USRP)from National *** transmitting/receiving elements used multistate quadrature amplitude modulation(M-QAM)implemented in LabVIEW programming *** results were verified based on bit error ratio(BER),error vector magnitude(EVM)and modulation error ratio(MER).Experimental results of the pilot study unambiguously confirmed the effectiveness of the proposed solution(longer effective communication range,higher immunity to interference,deployment of higher state QAM modulation formats,higher transmission speeds etc.),as the adaptive equalization significantly improved BER,MER and EVM *** best results were achieved using the QR-RLS *** results measured on deployed QR-RLS algorithm had significantly better Eb/N0(improved by approx.20 dB)and BER values(difference by up to two orders of magnitude).

关键词： 5G feed-forward software defined equalization multistate quadrature amplitude modulation software defined radio visible light communication

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