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Artificial Magnetic Conductor as Planar Antenna for 5G Evolution

computers, Materials & Continua 2023年第1期74卷 503-522页

作者： Komsan Kanjanasit Pracha Osklang Terapass Jariyanorawiss Akkarat Boonpoonga Chuwong Phongcharoenpanich College of Computing Prince of Songkla UniversityPhuket Campus83120Thailand Faculty of Technical Education Rajamangala University of Technology IsanKhonkaen Campus40000Thailand Department of Electrical Engineering Faculty of EngineeringKasetsart University10900Thailand Research Center of Innovation Digital and Electromagnetic Technology Department of Electrical and Computer EngineeringFaculty of EngineeringKing Mongkut’s University of Technology North BangkokBangkok10800Thailand School of Engineering King Mongkut’s Institute of Technology LadkrabangBangkok10520Thailand

A 5G wireless system requests a high-performance compact antenna *** research work aims to report the characterization and verification of the artificial magnetic conductor(AMC)metamaterial for a high-gain planar *** configuration is formed by a double-side structure on an intrinsic dielectric *** 2-D periodic pattern as an impedance surface is mounted on the top surface,whereas at the bottom surface the ground plane with an inductive narrow aperture source is *** characteristic of the resonant transmission is illustrated based on the electromagnetic virtual object of the AMC resonant structure to reveal the unique property of a magnetic material *** characteristics of the AMC metamaterial and the planar antenna synthesis are investigated and verified by experiment using a low-cost FR4 dielectric *** directional antenna gain is obviously enhanced by guiding a primary field *** loss effect in a dielectric slab is essentially studied having an influence on antenna *** verification shows a peak of the antenna gain around 9.7 dB at broadside which is improved by 6.2 dB in comparison with the primary aperture antenna without the AMC *** thin antenna profile ofλ/37.5 is achieved at 10GHz for *** emission property in an AMCstructure herein contributes to the development of a lowprofile and high-gain planar antenna for a compact wireless component.

关键词： AMC metamaterial planar antenna high-gain antenna

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A Novel Electronic Voting system using a Blind Signature scheme and Blockchain 11

A Novel Electronic Voting system using a Blind Signature sch...

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11th International Symposium on Telecommunication, IST 2024

作者： Mehraban, Elahe Gulliver, T. Aaron Atani, Reza Ebrahimi Hincal, Evren Near East University TRNC Mathematics Research Center Mersin 10 Nicosia99138 Cyprus University of Victoria Department of Electrical and Computer Engineering VictoriaBCV8W 2Y2 Canada University of Guilan Department of Computer Engineering Rasht Iran

ISBN: (纸本)9798350356250

Many applications including government services are now available online. This allows people to access services without being physically present, but online authentication is required. An important online service is electronic voting which can significantly increase the participation rate due to time limits and the removal of location restrictions. Electronic voting protocols employ encryption algorithms to ensure the integrity of the voting process. Despite the many advantages of electronic voting, it is controlled by the system manager and a dishonest manager can compromise the voting integrity. Blockchain technology can be used to solve this problem by providing reliability and data integrity. In this paper, an electronic voting scheme is proposed which employs quantum collective blind signatures and blockchain to guarantee privacy and the integrity of the voting process. © 2024 IEEE.

关键词： Blockchain

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A Low Complexity ML-Based Methods for Malware Classification

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computers, Materials & Continua 2024年第9期80卷 4833-4857页

作者： Mahmoud E.Farfoura Ahmad Alkhatib Deema Mohammed Alsekait Mohammad Alshinwan Sahar A.El-Rahman Didi Rosiyadi Diaa Salama Abd Elminaam Cybersecurity Department Al-Zaytoonah University of JordanAmman11733Jordan Department of Computer Science and Information Technology Applied CollegePrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Faculty of Information Technology Applied Science Private UniversityAmman11931Jordan Computer Systems Program-Electrical Engineering Department Faculty of Engineering-ShoubraBenha UniversityCairo11629Egypt Research Center for Artificial Intelligence and Cybersecurity Electronics and Informatics OrganizationNational Research and Innovation Agency(BRIN)KST Samaun SamadikunBandung40135Republic of Indonesia Jadara Research Center Jadara UniversityIrbid21110Jordan MEU Research Unit Middle East UniversityAmman11831Jordan

The article describes a new method for malware classification,based on a Machine Learning(ML)model architecture specifically designed for malware detection,enabling real-time and accurate malware *** an innovative feature dimensionality reduction technique called the Interpolation-based Feature Dimensionality Reduction Technique(IFDRT),the authors have significantly reduced the feature space while retaining critical information necessary for malware *** technique optimizes the model’s performance and reduces computational *** proposed method is demonstrated by applying it to the BODMAS malware dataset,which contains 57,293 malware samples and 77,142 benign samples,each with a 2381-feature *** the IFDRT method,the dataset is transformed,reducing the number of features while maintaining essential data for accurate *** evaluation results show outstanding performance,with an F1 score of 0.984 and a high accuracy of 98.5%using only two reduced *** demonstrates the method’s ability to classify malware samples accurately while minimizing processing *** method allows for improving computational efficiency by reducing the feature space,which decreases the memory and time requirements for training and *** new method’s effectiveness is confirmed by the calculations,which indicate significant improvements in malware classification accuracy and *** research results enhance existing malware detection techniques and can be applied in various cybersecurity applications,including real-timemalware detection on resource-constrained *** and scientific contribution lie in the development of the IFDRT method,which provides a robust and efficient solution for feature reduction in ML-based malware classification,paving the way for more effective and scalable cybersecurity measures.

关键词： Malware detection ML-based models dimensionality reduction feature engineering

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An internal model based adaptive controller design for robot manipulator

An internal model based adaptive controller design for robot...

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第43届中国控制会议

作者： Chengtao Xu Zhaowu Ping Yuqian He Yunzhi Huang Jun-Guo Lu School of Electrical Engineering and Automation Hefei University of Technology Anhui Engineering Technology Research Center of Industrial Automation Department of Automation Shanghai Jiao Tong University

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

This paper investigates a trajectory tracking problem of the robot manipulator affected by external disturbances and uncertain parameters in the task space. Firstly, an internal model is constructed to handle the external disturbances, so that the trajectory tracking problem of the robot manipulator can be converted into a robust stabilization problem. Then, an adaptive controller is proposed to solve the robust stabilization problem when the kinematic and dynamic parameters are unknown. Finally,a 2-DOF robot manipulator equipped with an unknown tool is used for simulation to demonstrate the effectiveness of the proposed method.

关键词： Robot manipulator trajectory tracking disturbance rejection internal model adaptive control

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Integrated Attitude-Position Formation Control of Multiple Vehicles on SE(3) with Individual Objectives

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IEEE Transactions on Aerospace and Electronic Systems 2025年第3期61卷 7710-7724页

作者： Meng, Qingkai Kasis, Andreas Polycarpou, Marios M. University of Cyprus KIOS Research and Innovation Center of Excellence Department of Electrical and Computer Engineering Nicosia1678 Cyprus

This paper explores the integrated attitude-position formation control problem of multiple vehicles, where individual entities within the formation have heterogeneous objectives. The six-degree-of-freedom multi-vehicle model is established by using the Lie group SE(3), where the attitude of each vehicle is represented by the rotation matrix. Initially, leveraging left-invariant metrics on SE(3), cost functions with respect to individual objectives and the group goal are established, formulating the formation control problem as a non-cooperative differential game. The existence of Nash equilibrium (NE) points is proven by using the monotonic game function analysis technique. To account for vehicle individual objectives, we apply a regularization technique for a strongly monotone operator to reformulate the game, providing conditions such that the NE points of the two games coincide. This transforms the original coordinated optimization problem into a NE-seeking problem for the augmented game. The aforementioned game control problem is solved using a Laplacian-flow-consensus-based NE-seeking algorithm, which yields a distributed geometric controller, for which we offer analytic convergence guarantees. Finally, simulation results demonstrate the practical validity of the proposed method. © 1965-2011 IEEE.

关键词： Cost functions

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THREE-LEVEL DC-DC CONVERTER WITH FUZZY LOGIC-BASED MPPT CONTROLLER FOR PHOTOVOLTAIC APPLICATIONS 13

THREE-LEVEL DC-DC CONVERTER WITH FUZZY LOGIC-BASED MPPT CONT...

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13th International Conference on Power Electronics, Machines and Drives, PEMD 2024

作者： Belhadj, Souheyb Mohammed Meliani, Bouziane Rivera, Marco Wheeler, Patrick Zerdali, Emrah Zaidi, Sarra Department of Electrical Engineering and Automation University of Relizane Relizane Algeria Department of Electrical and Electronic Engineering University of Nottingham NottinghamNG7 2RD United Kingdom Laboratory of Energy Conversion and Power Electronics Direction of Research Universidad de Talca Curicó3341717 Chile Laboratory Department of Engineering Sciences The Energy Transformation Center Universidad Andrés Bello Santiago8370035 Chile Department of Electrical and Electronics Engineering Ege University Izmir35040 Turkey

This paper presents a fuzzy logic-based controller designed for maximum power point tracking (MPPT) in a high-gain dc-dc three-level boost converter (TLBC) specifically tailored for photovoltaic applications. High-gain dc-dc converters, exemplified by the three-level converter, prove advantageous in photovoltaic systems by facilitating the elevation of low PV voltages to higher levels, thereby mitigating power losses and enhancing overall efficiency. The advantages connected with the use of fuzzy logic controllers (FLCs) include a reduction in the demand for advanced mathematical modeling, allowing for real-time operation through computational efficiency. Such features can lead to heightened efficiency, dependability, and scalability in addressing nonlinear problems, particularly within power converter-based systems. The simulations done using MATLAB/Simulink show that the proposed fuzzy logic-based MPPT provides high, robust behavior with minimised steady-state error under fast-varying environmental situations compared with traditional MPPT algorithms. © The Institution of engineering & Technology 2024.

关键词： MATLAB

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Optimal Location of Renewable Energy Generators in Transmission and Distribution System of Deregulated Power Sector:A Review

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Energy engineering 2025年第3期122卷 823-859页

作者： Digambar Singh Najat Elgeberi Mohammad Aljaidi Ramesh Kumar Rabia Emhamed Al Mamlook Manish Kumar Singla Department Electrical Engineering Government Polytechnic CollegeBTE LucknowEtah207120India University of Nevada RenoNV 89557USA Department of Computer Science Zarqa UniversityZarqa13110Jordan Department of Interdisciplinary Courses in Engineering Chitkara University Institute of Engineering&TechnologyChitkara UniversityChandigarh160002India Jadara University Research Center Jadara UniversityIrbid00962Jordan Department of Industrial Engineering Al Zawiya UniversityAl-ZawiyaP.O.Box 16418Libya Applied Science Research Center Applied Science Private UniversityAmman11931Jordan Department of Biosciences Saveetha School of EngineeringSaveetha Institute of Medical and Technical SciencesChennai602105India

The literature on multi-attribute optimization for renewable energy source(RES)placement in deregulated power markets is extensive and diverse in *** study focuses on the most relevant publications directly addressing the research problem at ***,while the body of work on optimal location and sizing of renewable energy generators(REGs)in balanced distribution systems is substantial,only the most pertinent sources are cited,aligning closely with the study’s objective function.A comprehensive literature review reveals several key research areas:RES integration,RES-related optimization techniques,strategic placement of wind and solar generation,and RES promotion in deregulated powermarkets,particularly within transmission ***,the optimal location and sizing of REGs in both balanced and unbalanced distribution systems have been extensively *** demonstrate significant potential for standalone applications in remote areas lacking conventional transmission and distribution *** presents a thorough review of current modeling and optimization approaches for RES-based distribution system location and ***,it examines the optimal positioning,sizing,and performance of hybrid and standalone renewable energy *** paper provides a comprehensive review of current modeling and optimization approaches for the location and sizing of Renewable Energy Sources(RESs)in distribution systems,focusing on both balanced and unbalanced networks.

关键词： Optimization of RESs distributed generation modeling and selection of RESs hybrid systems standalone systems optimal location

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Deep Learning-based Prediction of Renewable Energy Resources in Jebel Akhdar, Oman

Deep Learning-based Prediction of Renewable Energy Resources...

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2024 IEEE Sustainable Power and Energy Conference, iSPEC 2024

作者： Ahshan, Razzaqul Abid, Md. Shadman Al-Abri, Mohammed College of Engineering Sultan Qaboos University Department of Electrical and Computer Engineering Al-Khoud Oman Sultan Qaboos University Nanotechnology Research Center Al-Khoud123 Oman College of Engineering Sultan Qaboos University Department of Petroleum and Chemical Engineering Al-Khoud123 Oman

ISBN: (纸本)9798350395075

The widespread utilization of fossil fuels and associated enormous ecological ramifications have directed attention towards alternate energy sources. Nevertheless, the general adoption of renewable energy resources presents difficulties due to the erratic character of environmental factors such as solar radiation and wind speed. Multiple studies indicate that gradient-boosting-based deep learning forecasting systems are highly regarded for accurate predictions of random variables. On the other hand, Oman presents a favorable environment for advancements in renewable energy, particularly in solar and wind power, owing to its unwavering commitment to reaching carbon neutrality by 2050. Therefore, the main goals of this paper are to improve the accuracy of forecasting climatic factors that impact renewable energy output in the Sultanate of Oman, specifically in Jebel Akhdar, where both wind and solar resources have significant potential. Moreover, the solar power potential in the Manah area and wind power potential in the Jabel Shams region were evaluated by projections of appropriate meteorological variables. This work utilizes the Convolutional Neural Network-based Categorical Boosting (CNN-CatBoost) algorithm to accurately forecast climatic factors for solar and wind energy sources. Results demonstrate the effectiveness of the CNN -CatBoost technique in predicting meteorological elements that influence renewable energy production. © 2024 IEEE.

关键词： Wind forecasting

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Sliding Mode Control for Robustness in Networked Switched Systems under Denial-of-Service Attacks

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IEEE Transactions on Automatic Control 2025年

Denial-of-service (DoS) attacks impose an important threat for networked switched systems, as they impede the effective transmission of the control signals and measurement data and disrupt the synchronization of the switching modes between the controllers and the plant. To address this challenge, this paper proposes a sliding-mode controller design for safety against DoS attacks in networked switched systems. Firstly, we analyze the impact of the time delays induced by signal quantization and DoS attacks on the switching signals, control laws, and measurement data. We then design an integral sliding surface associated with the switching modes such that, when system uncertainties, disturbances, and the frequency and duration of DoS attacks are suitably bounded, input-to-state practical stability is guaranteed. Moreover, a reaching law is designed such that the trajectories of the networked switched system reach the sliding surface in finite time. The practicality and applicability of the proposed approach is demonstrated with numerical simulations on a networked continuous stirred tank reactor system. © 1963-2012 IEEE.

关键词： Quantization (signal)

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Reversible Data Hiding in Shared Images with Separate Cover Image Reconstruction and Secret Extraction

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IEEE Transactions on Cloud Computing 2024年第1期12卷 186-199页

作者： Xiong, Lizhi Han, Xiao Yang, Ching-Nung Shi, Yun-Qing Nanjing University of Information Science and Technology School of Computer Science Nanjing210044 China Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology Engineering Research Center of Digital Forensics Ministry of Education Nanjing210044 China Shanghai Jiao Tong University School of Electronic Information and Electrical Engineering Shanghai200240 China National Dong Hwa University Department of Computer Science & Information Engineering Hualien974301 Taiwan New Jersey Institute of Technology ECE Department NewarkNJ07102 United States

Reversible data hiding is widely utilized for secure communication and copyright protection. Recently, to improve embedding capacity and visual quality of stego-images, some Partial Reversible Data Hiding (PRDH) schemes are proposed. But these schemes are over the plaintext domain. To protect the privacy of the cover image, Reversible Data Hiding in Encrypted Images (RDHEI) techniques are preferred. In addition, the full separability of cover image reconstruction and data restoration is also an important characteristic that cannot be achieved by most RDHEI schemes. To solve the issues, a partial and a complete Reversible Data Hiding in Shared Images with Separate Cover Image Reconstruction and Secret Extraction (RDHSI-SRE) are proposed in this paper. In the proposed schemes, the secret data is divided by Secret Sharing (SS). Then, the marked shared images are generated based on the proposed modify-and-recalculate strategy. The receiver can extract embedded data and reconstruct the image separably using k-out-of-n marked shared images. In the embedding phase of partial RDHSI-SRE (PRDHSI-SRE), the pixel values are modified according to the proposed Minimizing-Square-Errors Strategy to achieve high visual quality, and the complete RDHSI-SRE (CRDHSI-SRE) embeds data by modifying random coefficients to achieve reversibility. The experimental results and theoretical analyses demonstrate that the proposed schemes have a high embedding performance. Most importantly, the proposed schemes are fault-tolerant and completely separable. © 2013 IEEE.

关键词： Image reconstruction

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