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2022 International Conference on Smart Systems and Power Management, IC2SPM 2022

作者： Zeine, Carla Daou, Roy Abi Zeid Telawi, Samer Boercsoek, Josef Hayek, Ali Haidar, Gaby Abou University of Kassel Faculty of Electrical Engineering /Computer Science Department of Computer Architecture and System Programming Kassel Germany Lebanese German University Faculty of Public Health Jounieh Department of Computer Architecture and System Programming Biomedical Technologies Department Jounieh Lebanon Université la Sagesse Faculty of Engineering Furn El Chebbak Mechatronics Department Beirut Lebanon University of Applied Science Hamm-Lippstadt Department Lippstadt 2 Hardware Engineering Marker Allee 76-78 Hamm59063 Germany American University of Science and Technology Faculty of Engineering Zahle Lebanon

ISBN: (数字)9781665452915

ISBN: (纸本)9781665452915

Integrating electrophysiological signals in larger systems is getting wider due to the fact that such modalities facilitate the daily tasks of users. However, the high cost of monitoring systems (e.g., oscilloscopes) limits the testing and analysis of the acquired signal from such noisy systems (i. e., electrophysiological devices). The proposed system is a part of a larger proj ect that deals with the identification of sign language movements through the use of Muscle-computer Interfaces. On one hand, the user is able to display the signal acquired by the electrodes on an LCD screen. On the other hand, the system helps a mute patient to issue a special message to his surrounding environment that does not know the sign language to ask for help. The second feature is not unique, as it can be replaced by any other application based on the user's needs. The system was tested on several persons, and the results are promising. © 2022 IEEE.

关键词： Liquid crystal displays

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A Comparative Study of Auto-tuned PID controller based on Different SMC Schemes for a DC Motor Speed control: Practical Validation

A Comparative Study of Auto-tuned PID Controller based on Di...

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International Middle-East Power System Conference, MEPCON

作者： Abdelrahman A. Othman Hamdy A. Shatla Mohamed Hamdy Department of Electrical Engineering Power and Machines Faculty of Engineering Al-Azhar University Cairo Egypt Department of Industrial Electronics and Control Engineering Faculty of Electronic Engineering Menoufia University Egypt Department of Electrical Engineering Faculty of Engineering Pharos University Alexandria Egypt

ISBN: (纸本)9781665463645

This paper represents a comparative study of autotuned proportional-integral-derivative (PID) controller based on different sliding mode control (SMC) schemes for the DC motor speed control such as traditional SMC, fuzzy SMC (Fuzzy-SMC), fuzzy terminal SMC (Fuzzy-TSMC) and fuzzy fast terminal SMC (Fuzzy-FTSMC) schemes to treat uncertainties existing in the DC motor model in practical validation. The DC motor have little change in its parameters, in addition, surrounding conditions vary from one time to another, this makes a very difficult to choose an appropriate controller, so that the researchers resort to using an adaptive controller to control the DC motor to improve the performance and increase the stability against the uncertainties. The auto tuned PID controller automatically compensates for variations in system dynamics by adjusting the controller characteristics so that the overall system performance remains the same, or rather maintained at optimum level. The experimental results were obtained to verify the applicability and effectiveness of the proposed control scheme against external disturbance and model uncertainties with a comparative study.

关键词： Uncertainty System dynamics System performance Velocity control Power system stability DC motors Stability analysis

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Carbon-Aware Computing in a Network of Data Centers: A Hierarchical Game-Theoretic Approach

arXiv

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arXiv 2024年

作者： Breukelman, Enno Hall, Sophie Belgioioso, Giuseppe Dörfler, Florian The KTH Royal Institute of Technology School of Electrical Engineering and Computer Science Division of Decision and Control Systems Malvinas väg 10 StockholmSE-100 44 Sweden The Automatic Control Laboratory Department of Electrical Engineering and Information Technology ETH Zurich Physikstrasse 3 Zürich8092 Switzerland

Over the past decade, the continuous surge in cloud computing demand has intensified data center workloads, leading to significant carbon emissions and driving the need for improving their efficiency and sustainability. This paper focuses on the optimal allocation problem of batch compute loads with temporal and spatial flexibility across a global network of data centers. We propose a bilevel game-theoretic solution approach that captures the inherent hierarchical relationship between supervisory control objectives, such as carbon reduction and peak shaving, and operational objectives, such as priority-aware scheduling. Numerical simulations with real carbon intensity data demonstrate that the proposed approach successfully reduces carbon emissions while simultaneously ensuring operational reliability and priority-aware scheduling. © 2024, CC BY-NC-ND.

关键词： Carbon

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Impact of Aging on Dielectric Properties of Oil-Paper Insulation System using Gas-to-Liquid Oil and Mineral Oil

Impact of Aging on Dielectric Properties of Oil-Paper Insula...

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International Middle-East Power System Conference, MEPCON

作者： Manal M. Emara Eman G. Atiya Diaa–Eldin A. Mansour Department of Electrical Engineering Faculty of Engineering Kafrelsheikh University Kafrelsheikh Egypt Department of Electrical Power and Machines Engineering Faculty of Engineering Tanta University Tanta Egypt Electrical Power Engineering Department School of Electronics Communications and Computer Engineering Egypt-Japan University of Science and Technology Alexandria Egypt Electrical Power and Machines Engineering Department Faculty of Engineering Tanta University Tanta Egypt

ISBN: (纸本)9781665463645

Lately, gas-to-liquid (GTL) oil usage has a great trend as cooling and dielectric medium in power transformers due to their good properties, represented by its purity, chemical uniformity, and better performance than conventional oils. By the way, the study of GTL oil effect in comparison to conventional mineral oil (MO) on the electrical properties of the insulation paper under thermal aging is presented in this paper. Thermal aging samples were obtained based on an accelerated thermal aging test in the laboratory, that simulates the thermal stress in the service. Two different aging durations (i.e., 3 and 6 days) are applied to the two different oil types. Pure oils and aged oil samples were tested for dielectric losses and dielectric constant for a range of frequencies from 20 Hz to 2 MHz. In addition, insulation papers were impregnated in the same samples to check their effect by thermal aging. The results indicated that aging has a lower impact on the properties of GTL oil and GTL oil-paper insulation under aging conditions compared to that of MO.

关键词： Spectroscopy Dielectric constant Oils Dielectric losses Aging Minerals Power systems

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An Efficient Shortest Path Optimized Algorithm For Vehicle Adhoc Networks System

An Efficient Shortest Path Optimized Algorithm For Vehicle A...

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International Conference on Circuit, Power and Computing Technologies (ICCPCT)

作者： K. Shalini K. Harinath Reddy Kondalarao Punati Kavin K. S. P. Veena K. Pushpalatha Department of Artificial Intelligence and Data Science Vardhaman College of Engineering Shamshabad India Department of Electrical and Electronics Engineering Annamacharya Institute of Technology and Sciences Rajampet India Faculty of Electronics and Communication Engineering Hyderabad Institute of Technology and Management Hyderabad India Department of Electrical and Electronics Engineering Government College of Engineering Tirunelveli Tamilnadu India Department of Computer Engineering N. S. S. Polytechnic College Pandalam Pathanamthitta India Department of Computer Science and Engineering Coimbatore Institute of Engineering and Technology Coimbatore India

ISBN: (数字)9798350372816

ISBN: (纸本)9798350372823

VANET (Vehicular ad-hoc network) is a network of advanced automobiles designed to solve the problem of mobility and, as a result, reduce the number of accidents. Because VANET is a type of MANET (mobile ad hoc network) surrounded by human-driven nodes, the social concept can be used to explain VANET routing decisions. This motivates academics to look into the possibilities of using Social Network Analysis (SNA) to create routing strategies. The most critical problem in any system is parcel drop. Social characteristics-based architectures encounter comparable challenges, resulting in inefficient message delivery. In this research, the dragonfly method is used to the shortest path methodology for fixed line VANET with the purpose of reducing package drop and increasing network reliability. This is made achievable by sculpted system of values centralization analysis, which improves the decision via dragonfly optimization methodology. The behavior of the using nodes capability then be determined by the importance computation. In this study, the sustainability of the optimized shortest path system is measured in terms of End to End delay, Energy Consumption, Packet Loss, and Throughput. The dragonfly algorithm’s throughput evaluation is 650 kbps as compared to the traditional way.

关键词： Social networking (online) Vehicular ad hoc networks Transportation Routing Throughput Safety Sustainable development

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Machine Learning-Based Underwater Communication System Using Light Carrying Orbital Angular Momentum

Machine Learning-Based Underwater Communication System Using...

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CLEO: Science and Innovations, S and I 2022

作者： Jarrett, William A. Avramov-Zamurovic, Svetlana Esposito, Joel M. Nelson, Charles Weapons Robotics and Control Engineering Department United States Naval Academy 597 McNair Rd AnnapolisMD21401 United States Electrical and Computer Engineering Department United States Naval Academy 597 McNair Rd AnnapolisMD21401 United States

ISBN: (纸本)9781557528209

An underwater communication system using light carrying orbital angular momentum is evaluated using a convolutional neural network through simulated and experimental thermally-generated underwater optical turbulence. 100% classification is demonstrated in no or weak turbulence. © Optica Publishing Group 2022, © 2022 The Author(s)

关键词： Optical communication

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Depth and Pitch control of Autonomous Underwater Glider Using Model Predictive control with ARX Model

Depth and Pitch Control of Autonomous Underwater Glider Usin...

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International Conference on electrical engineering and Informatics, ICEEI

作者： Jason Jeremy Egi Muhammad Idris Hidayat Simon Siregar Bambang Riyanto Trilaksono Natsir Habibullah School of Electrical Engineering and Informatics Bandung Institute of Technology Bandung Indonesia Department Computer Engineering Faculty of Applied Science Telkom University Bandung Indonesia

Autonomous Underwater Gliders (AUGs) are extensively developed vehicles capable of prolonged exploration and observation in complex marine environments. control of the AUG is challenging due to its slow response system and its constraints. In this research, a linear model representation of AutoRegressive eXogenous input (ARX) will be constructed using input and output data from the AUG system, built Model Predictive control (MPC), analyzed the performance, comparing with traditional Proportional-Integral-Derivative (PID). The objective is to enhance setpoint tracking accuracy and minimize energy to extend exploration time while faced with constraints. Simulation results reveal MPC exhibits potential setpoint tracking, low overshoot as low as 0.6% up to 0.3m/s maximum depth rate, has relatively low input changes indicating good efficiency compared to PID. MPC approach effectively addresses slow response systems, managing momentum, and handling actuator constraints commonly encountered in AUG.

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Lightweight Authenticated Task Offloading in 6G-Cloud Vehicular Twin Networks

Lightweight Authenticated Task Offloading in 6G-Cloud Vehicu...

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2025 IEEE Wireless Communications and Networking Conference, WCNC 2025

作者： Al-Shareeda, Sarah Ozguner, Fusun Redmill, Keith Duong, Trung Q. Canberk, Berk The Ohio State University Electrical and Computer Engineering Department United States Bts Group Turkey Istanbul Technical University Department of Ai and Data Engineering Turkey School of Electronics Electrical Engineering and Computer Science Queen's University Belfast United Kingdom Memorial University of Newfoundland Faculty of Engineering and Applied Science St. John'sNL Canada School of Computing Engineering and The Built Environment Edinburgh Napier University United Kingdom

ISBN: (纸本)9798350368369

Task offloading management in 6G vehicular net-works is crucial for maintaining network efficiency, particularly as vehicles generate substantial data. Integrating secure communication through authentication introduces additional computational and communication overhead, significantly impacting offloading efficiency and latency. This paper presents a unified framework incorporating lightweight Identity-Based Cryptographic (IBC) authentication into task offloading within cloud-based 6G Vehicular Twin Networks (VTNs). Utilizing Proximal Policy Optimization (PPO) in Deep Reinforcement Learning (DRL), our approach optimizes authenticated offloading decisions to minimize latency and enhance resource allocation. Performance evaluation under varying network sizes, task sizes, and data rates reveals that IBC authentication can reduce offloading efficiency by up to 50% due to the added overhead. Besides, increasing network size and task size can further reduce offloading efficiency by up to 91.7%. As a countermeasure, increasing the transmission data rate can improve the offloading performance by as much as 63%, even in the presence of authentication overhead. The code for the simulations and experiments detailed in this paper is available on GitHub for further reference and reproducibility [1]. © 2025 IEEE.

关键词： Authentication Deep Reinforcement Learning Identity-Based Cryptography Proximal Policy Optimization Task Offloading Vehicular Twin Networks

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Secrecy Outage Probability of Full-Duplex Relaying Vehicular Networks 10

Secrecy Outage Probability of Full-Duplex Relaying Vehicular...

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10th International Japan-Africa Conference on Electronics, Communications, and Computations, JAC-ECC 2022

作者： Abd El Ghafour, Mohamed G. Abd El-Malek, Ahmed H. Hassan, Ola E. Abo-Zahhad, Mohammed Alexandria University Faculty of Engineering Department of Engineering Mathematics and Physics Alexandria21544 Egypt Egypt-Japan University of Science & Technology School of Electronics Communications & Computer Engineering Alexandria21934 Egypt Arab Academy for Science Technology & Maritime Transport Basic and Applied Science Department Smart Village Campus Giza12577 Egypt Assiut University Faculty of Engineering Electrical Engineering Department Assiut71515 Egypt

ISBN: (纸本)9781665464635

This paper investigates the secrecy performance of full-duplex cooperative vehicular relaying networks under passive eavesdropping attacks in the presence of co-channel interference. In the considered system model, a static source communicates with a static destination through a mobile full-duplex relay in the presence of a mobile passive eavesdropper and a static co-channel interferer. A closed-form expression for the exact secrecy outage probability of the system is derived for the Nakagami-m fading environment. Hence, the asymptotic secrecy outage probability is obtained at high signal-to-noise values. Numerical and Simulation results are obtained to validate the derived analytical expressions. © 2022 IEEE.

关键词： Signal to noise ratio

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An improved Kepler optimization algorithm for module parameter identification supporting PV power estimation

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Heliyon 2024年第21期10卷 e39902页

作者： Moustafa, Ghareeb Alnami, Hashim Ginidi, Ahmed R. Shaheen, Abdullah M. Department of Electrical and Electronic Engineering College of Engineering and Computer Science Jazan University P.O. Box114 Jazan 45142 Saudi Arabia Department of Electrical Engineering Faculty of Engineering Suez University P.O. Box: 43221 Suez Egypt

Identification of photovoltaic (PV) module characteristics in solar systems is a vital task, nowadays, for optimal PV power estimation. In this paper, this challenge task has been studied using a novel advanced Kepler optimization algorithm (KOA). The standard version of KOA is adopted and assessed for getting the nine parameters of the PV triple diode model (3DM) considering three different practical PV modules. Kepler's principles of planetary motion are used by KOA to forecast the location and velocity of planets at any particular moment. However, the success rate of the KOA is not compatible, and its efficiency needs to be enhanced. As a result, an Improved KOA (IKOA) is created by incorporating an advanced mechanism of Local Escaping Operator (LEO), resulting in improved process of searching with evading local optima. This mechanism means that the exploitation approach will activate with around half of the solutions for every iteration starting at the initial phase of the iteration journey. The suggested IKOA besides the standard KOA are developed for predicting PV parameters for three distinct PV modules which are Photowatt PWP201, R.T.C France and STM6-40/36. The results corresponding to the latest algorithms are also compared with the proposed IKOA about different published works. The simulation findings reveal that the suggested IKOA exhibits notable average improvement rates for the three modules of 62.27 %, 55.1 %, and 32.12 %, respectively. Furthermore, the suggested IKOA asserts significant superiority and robustness over previously reported results. © 2024

关键词： Kepler optimization algorithm Local Escaping Operator Practical solar modules PV parameters extraction

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