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63rd IEEE Conference on Decision and Control, CDC 2024

作者： Boche, Holger Pohl, Volker Poor, H. Vincent Technical University of Munich School of Computation Information and Technology Müunchen80333 Germany München80799 Germany Princeton University Department of Electrical and Computer Engineering PrincetonNJ08544 United States

ISBN: (纸本)9798350316339

Orthogonal projections are widely used to determine optimal controllers, filters and approximations. This paper shows that despite their simple theoretical foundation and their regular use in practical applications, the complexity for computing orthogonal projections might be very high. The paper proves that the causal projection on L2 maps computable continuous functions onto not computable functions. Moreover, it is shown that the orthogonal projection associated with the polynomial approximation in L2 shows complexity blowup in the sense that it maps polynomial-time computable continuous functions onto polynomials that are not polynomial-time computable. Finally, it is shown that the coefficients of the Wiener prediction filter for stationary stochastic processes might not be computable in polynomial time, even for smooth and polynomial-time computable spectral densities. © 2024 IEEE.

关键词： Wiener filtering

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Modeling and analysis for reaction control thruster used for station-keeping maneuvers of a GEO satellite 20

Modeling and analysis for reaction control thruster used for...

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20th International Conference on Aerospace Sciences and Aviation technology, ASAT 2023

作者： Ashraf, M.K. Hendy, H. Sallam, A.F. Ashry, M.M. Elhalwagy, Y.Z. Electrical Engineering Department MTC Egypt Dr. of Electrical Engineering MTC Egypt Dr. of Mechanical Engineering Space Technology Center Egypt Electrical Engineering MTC Egypt Electrical and Computer Engineering MTC Egypt

This paper introduces a theoretical description, force, and torque analysis of a Reaction Control Thruster (RCT) used as an actuator in Attitude Determination and Control Subsystem (ADCS). Mathematical formalization, realization, and implementation are offered to implement the RCT model using Matlab-Simulink. Furthermore, this paper proposes an accurate RCT Simulink model to control the orientation and stabilizes the Geostationary Earth Orbit (GEO) satellite within its orbit. Finally, a comparative analysis is carried out with an existing satellite platform (Eurostar-3000) based on the Root Mean Square Error (RMSE) for the delta velocity (delta-V) parameter. The outcomes of the model simulation validated the effectiveness of the proposed approach. © 2023 Institute of Physics Publishing. All rights reserved.

关键词： Simulink

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Deep Q-Learning-Based Resource Management in IRS-Assisted VLC Systems

IEEE Transactions on Machine Learning in Communications and ...

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IEEE Transactions on Machine Learning in Communications and Networking 2024年 2卷 34-48页

作者： Hammadi, Ahmed Al Bariah, Lina Muhaidat, Sami Al-Qutayri, Mahmoud Sofotasios, Paschalis C. Debbah, Merouane Technology Innovation Institute Abu Dhabi United Arab Emirates Khalifa University Center for Cyber-Physical Systems Department of Electrical Engineering and Computer Science Abu Dhabi United Arab Emirates Carleton University Department of Systems and Computer Engineering OttawaK1S 5B6 Canada Khalifa University Department of Electrical Engineering and Computer Science Abu Dhabi United Arab Emirates Tampere University Department of Electrical Engineering Tampere33014 Finland Khalifa University KU 6G Center Abu Dhabi United Arab Emirates

Visible Light Communication (VLC) is a promising enabling technology for the next-generation wireless networks, as it complements radio-frequency (RF)-based communications by providing wider bandwidth, higher data rates, and immunity to interference from electromagnetic sources. However, due to its unique characteristics, VLC is highly sensitive to the line-of-sight (LoS) blockage. Recently, intelligent reflecting surface (IRS) has been proposed as an innovative solution that dynamically reconfigures the wireless environment. The present contribution proposes a two-stage resource management framework in an indoor VLC system: In the first stage, a maximum possible fairness (MPF) algorithm is presented in order to maximize the fairness amongst the users. In the second stage, deep Q-learning is exploited in order to maximize the overall spectral efficiency (SE). The corresponding numerical results have shown that the proposed DQL-MPF framework exhibits superior performance in terms of both the overall SE and Jain's Fair Index, achieved at a fast convergence rate. More specifically, when the noise power is high and the number of users is relatively large, the DQL-MPF algorithm achieves a more than tenfold overall SE compared to the Baseline scheme. Moreover, the synergy between the MPF and the DQL algorithms is investigated. To this end, we demonstrate that the MPF algorithm maximizes the fairness amongst the users while the DQL algorithm maximizes the overall SE and improves the robustness against the noise. Our results also highlight the effectiveness of the proposed algorithm in leveraging the increasing number of IRS elements for optimized performance. © 2023 The Authors.

关键词： Spectrum efficiency

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8-HQCdCl_(2)H_(2)O as an organic Q-switcher in erbium laser cavity

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Optoelectronics Letters 2023年第11期19卷 681-685页

作者： MUSTAFA MOHAMMED NAJM MOHAMMED NAJM ABDULLAH AYA A.ALMUKHTAR BELAL AHMED HAMIDA MOH YASIN SULAIMAN WADI HARUN Department of Electrical Engineering Universiti MalayaKuala Lumpur50603Malaysia Department of Computer Engineering University of TechnologyBaghdadIraq Medical Instrumentation Engineering Department Al-Esraa University CollegeBaghdadIraq Department of Electrical and Computer Engineering International Islamic University MalaysiaGombakMalaysia Department of Physics Faculty of Science and TechnologyAirlangga UniversitySurabayaIndonesia Research Center for Biophotonics(RCB) Airlangga UniversitySurabaya60115Indonesia

This paper demonstrated a Q-switched erbium-doped fiber laser(EDFL)using an organic saturable absorber(SA)based on 8-HQCdCl_(2)H_(2)O *** organic thin film was prepared using the casting *** proposed Q-switched EDFL has a maximum repetition rate of 143 kHz,minimum pulse duration of 1.85μs and the highest pulse energy of 167 *** Q-switched peak laser was at a central wavelength of 1531 nm with a 3 dB bandwidth of 3.52 nm and power intensity of 2.64 dBm.

关键词： switched laser material

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Artificial Magnetic Conductor as Planar Antenna for 5G Evolution

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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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An upgraded variant of backtracking search algorithm and its application to COVID-19 CT images segmentation

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Multimedia Tools and Applications 2025年 1-57页

作者： Debnath, Sanjib Nama, Sukanta Chakraborty, Sanjoy Saha, Apu Kumar Mirjalili, Seyedali Department of Computer Science & Engineering National Institute of Technology Agartala Tripura Agartala799046 India Department of Science & Humanities Gomati District Polytechnic Fulkumari Tripura Udaipur799013 India Department of Information Technology Bir Bikram Memorial College Tripura Agartala India Department of Mathematics National Institute of Technology Agartala Tripura Agartala799046 India Center for Artificial Intelligence Research and Optimization Torrens University Australia Brisbane Australia Faculty of Electrical Engineering and Computer Science VŠB-TU Ostrava Ostrava Czech Republic University Research and Innovation Center Obuda University Budapest Hungary Department of Computer Science & Engineering The ICFAI University Tripura Tripura 799210 India

To improve the performance of the original backtracking search algorithm (BSA), this work combines BSA with a centralized population initialization and an elitism-based local escape operator and proposes a new, improved variant of BSA called CiBSA. BSA's performance is improved by centralized population initialization regarding search capability, convergence speed, and capacity to jump out of the local optimum. The suggested algorithm's elitism-based local escape operator method prevents BSA searching slowness and enhances convergence rates and local search efficiency. The performance of the proposed algorithm has been tested on a set of 54 test suites. An extensive comparison with other recent meta-heuristics algorithms (MA) demonstrates that both methodologies substantially assist BSA in boosting the quality of its solutions and speeding up the convergence rate. The proposed CiBSA is then applied to a real-world problem: image segmentation using Kapur's entropy function. The proposed CiBSA is successfully applied to the segmentation of COVID-19 CT images using Kapur's entropy for grey-scale images. Considering the performance matrices Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM), Feature Similarity Index (FSIM), and Intersection over Union (IoU), the suggested CiBSA outperformed conventional MA algorithms. In COVID-19 CT image segmentation trials, CiBSA has superior segmentation capability and adaptability at varied threshold levels than other approaches. As a result, CiBSA has a lot of potential for enhancing COVID-19 diagnosis accuracy. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Signal to noise ratio

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A Global Best-guided Firefly Algorithm for engineering Problems

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Journal of Bionic engineering 2023年第5期20卷 2359-2388页

作者： Mohsen Zare Mojtaba Ghasemi Amir Zahedi Keyvan Golalipour Soleiman Kadkhoda Mohammadi Seyedali Mirjalili Laith Abualigah Department of Electrical Engineering Faculty of EngineeringJahrom UniversityJahrom***FrasIran Department of Electronics and Electrical Engineering Shiraz University of TechnologyShiraz***Iran Department of Electrical and Computer Engineering Tarbiat Modares UniversityTehran***Iran Department of Computer Engineering Sari BranchIslamic Azad UniversitySari***Iran Department of Electrical Engineering Urmia BranchIslamic Azad UniversityUrmia571696896Iran Centre for Artificial Intelligence Research and Optimisation Torrens University AustraliaBrisbaneQLD4006Australia Yonsei Frontier Lab Yonsei UniversitySeoul03722South Korea Computer Science Department Prince Hussein Bin Abdullah Faculty for Information TechnologyAl Al-Bayt UniversityMafraq25113Jordan Hourani Center for Applied Scientific Research Al-Ahliyya Amman UniversityAmman19328Jordan Faculty of Information Technology Middle East UniversityAmman11831Jordan School of Computer Sciences Universiti Sains Malaysia11800George TownPulau PinangMalaysia University Research and Innovation Center Obuda University1034BudapestHungary School of Engineering and Technology Sunway University MalaysiaPetaling Jaya27500Malaysia Applied science research center Applied science private universityAmman11931Jordan

The Firefly Algorithm(FA)is a highly efficient population-based optimization technique developed by mimicking the flashing behavior of fireflies when *** article proposes a method based on Differential Evolution(DE)/current-to-best/1 for enhancing the FA's movement *** proposed modification increases the global search ability and the convergence rates while maintaining a balance between exploration and exploitation by deploying the global best ***,employing the best solution can lead to premature algorithm convergence,but this study handles this issue using a loop adjacent to the algorithm's main ***,the suggested algorithm’s sensitivity to the alpha parameter is reduced compared to the original *** GbFA surpasses both the original and five-version of enhanced FAs in finding the optimal solution to 30 CEC2014 real parameter benchmark problems with all selected alpha ***,the CEC 2017 benchmark functions and the eight engineering optimization challenges are also utilized to evaluate GbFA’s efficacy and robustness on real-world problems against several enhanced *** all cases,GbFA provides the optimal result compared to other *** that the source code of the GbFA algorithm is publicly available at https://***/projects/gbfa.

关键词： Firefly algorithm New movement vector Global best-guided firefly algorithm Global optimization engineering design

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Sentiment Analysis using Optimised Feature Sets in Different Facebook/Twitter Dataset Domains with Big Data

Iraqi Journal for Computer Science and Mathematics

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Iraqi Journal for computer Science and Mathematics 2022年第1期3卷 64-70页

作者： Al-Mashhadani, Mohammed Ibrahim Hussein, Kilan M. Khudir, Enas Tariq Ilyas, Muhammad Department of Electrical and Electronics Engineering Altinbas University Istanbul Turkey Diyala University Electronic Computer Center Iraq University of Technology Electrical and Electronics Engineering Altinbas University Turkey

Nowadays, in many real-life applications, sentiment analysis plays a vital role in the automatic prediction of human activities, especially on online social networks (OSNs). Since the last decade, the research on opinion mining and sentiment analysis has been growing with the increase in volume of online reviews available over the social media networks, such as Facebook OSNs. Sentiment analysis falls under the data mining domain research problem. Sentiment analysis is a type of text mining process to determine subjective attitude, such as sentiments from written texts, and hence has become a main research interest in domains of natural language processing and data mining. The main task of sentiment analysis is to classify human sentiments with the objective of classifying the sentiment or emotion of end users based on their specific text on the OSNs. Several research approaches have been designed for sentiment analysis, in which the factors of accuracy, efficiency and speed have been used to evaluate the effectiveness of sentiment analysis methods. The Map-Reduce framework under the domain of big data is used to minimise the speed of execution and efficiency recently with many data mining methods. The sentiment analysis of messages on Facebook OSNs is more challenging compared with those of other sites because of the misspellings and slang words in their Twitter dataset. In this study, the different solutions that have been recently presented are discussed in detail. Then, a new approach for sentiment analysis based on hybrid feature extraction and multi-class support vector machine methods is proposed. The algorithms have been designed using big data techniques in view of optimising the performance of sentiment analysis. © 2022 Iraqi Journal for computer Science and Mathematics. All rights reserved.

关键词： Sentiment analysis

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Machine Vision Based Local Hyacinth Bean Breed Recognition Using Convolutional Neural Network

Machine Vision Based Local Hyacinth Bean Breed Recognition U...

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2024 International Conference on Advances in Computing, Communication, electrical, and Smart Systems, iCACCESS 2024

作者： Khan, Md. Abbas Ali Rahman, Md. Ataur Hossain, Md Liton Habib, Md. Tarek Daffodil International University Department of Computer Science and Engineering Dhaka Bangladesh Electrical and Electronic Engineering Center for Innovation and Technology University of Liberal Arts Bangladesh Dhaka Bangladesh

ISBN: (纸本)9798350350289

The classification is a significant one. This paper proposes a CNN-based Local Hyacinth Bean Breed Recognition (CNN-LHBR) approach along with a machine vision approach. Among the 52 breeds, we have taken only eight categories, namely Bashpaki Faridpur, Chaina Sada Patla Chela, Gochi, Kajoli, Katla, Lati, Noldub, and Pudi Aishna. There are many works done before about breed detection of different fruits as well as disease recognition. But no research has done such a work as LHBR, especially in Bangladesh. The interest of this research is the reason for the high protein and vitamin B complex;besides, each bean has a separate test, yield, seed, and nutrition level. More importantly, we have implemented 3 CNN models for the experiment of the breed recognition of 8 Hyacinth Bean specimens. For model accuracy, we have considered training, validation, and testing accuracy. As for performance evaluation, the confusion matrix has bean applied. Among the models, the customized CNN model gives the best accuracy. The customized CNN model's accuracy is 97.50%. © 2024 IEEE.

关键词： computer vision

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A Strengthened Primal-Dual Decomposition Algorithm for Solving Electricity Market Pricing With Revenue-Adequacy and FFR Constraints

IEEE Transactions on Energy Markets, Policy and Regulation

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IEEE Transactions on Energy Markets, Policy and Regulation 2024年第3期2卷 379-391页

作者： Goudarzi, Hamed Hesamzadeh, Mohammad Reza Bunn, Derek Fotuhi-Firuzabad, Mahmud Shahidehpour, Mohammad Sharif University of Technology Center of Excellence in Power System Management and Control Tehran11365-11155 Iran Kth Royal Institute of Technology School of Electrical Engineering and Computer Science Stockholm10044 Sweden London Business School Department of Management Science and Operations LondonNW1 4SA United Kingdom Illinois Institute of Technology Electrical and Computer Engineering Department ChicagoIL60616 United States

This paper develops a new decomposition algorithm for solving Electricity Market Pricing (EMP) problem, taking into account both revenue-adequacy and Fast Frequency Reserve (FFR) constraints. Due to revenue-adequacy constraint, a bilevel model of the EMP problem is introduced (BL-EMP). The upper level of the BL-EMP model represents the non-convex unit commitment (UC) decisions as well as the revenue-adequacy constraints of the market participants (generators, loads, and battery-storage owner). The lower level is a convex economic dispatch model with FFR constraint. To tackle the computational complexity of the considered BL-EMP model, this paper develops, tests, and proposes a Strengthened Primal-Dual Decomposition (SPDD) algorithm, which takes benefits from both Benders-like and Lagrange Dual-like algorithms. The new SPDD algorithm has a series of interesting computational properties, which are theoretically discussed in the paper. The SPDD algorithm has better computational performance than standard Benders decomposition algorithm and it also does not need tuning of the Big-M (or disjunctive) parameters for solving the proposed BL-EMP problem. Results from the modified IEEE 24-bus, the IEEE 118-bus, and the IEEE 300-bus system show the superiority of proposed SPDD algorithm over the classic Benders algorithm. © 2023 IEEE.

关键词： Power markets

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