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6th IEEE Novel Intelligent and Leading Emerging sciences Conference, NILES 2024

作者： Abdelmalek, Shady R. Retig, Ma Althea F. B. Ansari, Fakeha S. Gomaa, Mennatallah A. Alaaeldin, Amr Kaddah, Sahar S. Badr, Basem M. University of Genoa Faculty of Engineering Robotics Department Italy The British University in Dubai Faculty of Engineering and It Computer Science Department United Arab Emirates Mansoura University Renewable and Sustainable Energy Department Mansoura Egypt Mansoura University Faculty of Engineering Electrical Power Department Mansoura Egypt Mansoura University Faculty of Engineering Electrical Engineering Department Mansoura Egypt Lotus Power VancouverBC Canada

ISBN: (纸本)9798350378511

Connecting electric mobility (E-Mobility) systems with Internet of Things (IoT) technology is a crucial strategy for modern transportation and driving assistance systems. IoT and Advanced Driver Assistance Systems (ADAS) applications in the field are examined in this research. Different techniques are designed and developed for ADAS functionality, such as lane and object detection via image and video segmentations. Multiple lane detection models are developed and tested, each of which is then deployed on AWS (Amazon Web Services) cloud and optimized using OpenVINO to speed up inference. Furthermore, telemetry data from various embedded devices are transmitted to AWS IoT core and presented on an easy-to-use web application. This paper shows how deploying systems on cloud platforms like AWS improves scalability and operational efficiency. It also highlights how IoT and cloud technologies may improve the performance of E-Mobility systems and offers a strong foundation for further advancements in the ADAS area. © 2024 IEEE.

关键词： Web services

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Convex Optimization-Based Inverse Reinforcement Learning in Design Space Exploring 16

Convex Optimization-Based Inverse Reinforcement Learning in ...

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16th IEEE International Conference on Solid-State and Integrated Circuit Technology, ICSICT 2022

作者： Jin, Yi-Fan Xia, Yin-Shui Zha, Xiao-Jing Ningbo University Faculty of Electrical Engineering and Computer Science Ningbo315211 China

ISBN: (数字)9781665469067

ISBN: (纸本)9781665469067

In recent years, the application of machine learning in Electronic Design Automation (EDA) has become a trend. Especially in deep reinforcement learning, it has proven to be an excellent algorithm to optimize the delay and area of the circuit. However, one fundamental assumption of existing reinforcement learning algorithms is that reward function, the most direct representation of the designer's intention, needs to be provided beforehand. In practice, the reward function directly determines the efficiency of reinforcement learning (RL). This paper proposed a high-performance convex optimization-based inverse reinforcement learning (IRL) framework for writing the reward function, which directly solves the problem by giving different labels to expert trajectories and experimental trajectories to learn the reward functions, respectively. Applied to an evaluation of the EPFL integrated benchmark suite, the model optimization after changing the reward function is more efficient than state-of art methods, and with the similar Quality of Results (QoRs), it saves 36.2% of iterations. © 2022 IEEE.

关键词： Reinforcement learning

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A comprehensive survey on 6G-security: physical connection and service layers

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Discover Internet of Things 2025年第1期5卷 1-30页

作者： Saeed, Mamoon M. Saeed, Rashid A. Hasan, Mohammad Kamrul Ali, Elmustafa Sayed Mazha, Tehseen Shahzad, Tariq Khan, Sunawar Hamam, Habib Sana00967 Yemen Department of Computer Engineering College of Computers and Information Technology Taif University P.O. Box 11099 Taif21944 Saudi Arabia Department of Electronics Engineering College of Electronics Engineering Sudan University of Science and Technology Omdurman Sudan Bangi43600 Malaysia Department of Electrical and Electronic Engineering Faculty of Engineering Red Sea University Port Sudan33312 Sudan School of Computer Science National College of Business Administration and Economics Lahore54000 Pakistan Faculty of Engineering Uni de Moncton MonctonNBE1A3E9 Canada Department of Computer Engineering COMSATS University Islamabad Sahiwal Campus Sahiwal57000 Pakistan Department of Computer Science and Software Engineering International Islamic University Islamabad44000 Pakistan School of Electrical Engineering University of Johannesburg Johannesburg2006 South Africa BP 1989 Av. Grandes Ecoles Libreville Gabon Bridges for Academic Excellence-Spectrum Tunis Tunisia Department of Computer Science School Education Department Government of Punjab Layyah31200 Pakistan Chitkara University Institute of Engineering and Technology Chitkara University Punjab Rajpura140401 India

After adopting 5G technology, businesses and academia have started working on sixth-generation wireless networking (6G) technologies. Mobile communications options are expected to expand in areas where previous generations could not do so. 6G networks are anticipated to be constructed using various diverse technologies. These encompass diverse cutting-edge advancements, such as distributed ledger systems like blockchain, visible light communications (VLC), post-quantum cryptography, edge computing, molecular communication, THz, and other advances. These advances necessitate a reassessment of previous security strategies from a security perspective. In the future, networks must adhere to stricter criteria for authentication, encryption, access control, connectivity, and detection of harmful activities. Ensuring privacy and dependability necessitates the implementation of supplementary security protocols. The essay explores the primary concerns and challenges related to the security of the 6G network. This paper describes the improvements in security in communications from 1G through 6G. This paper divides security in the sixth generation into three layers: physical, connection, and service. Each layer-by-layer discusses the standard technologies and security issues for each technology proposed in each sixth-generation security layer. All proposed solutions for each of the three layers are discussed in Sixth Generation Security. It also reviews all proposed solutions for each layer, indicating the proposed solution and its limitations. © The Author(s) 2025.

关键词： 5G mobile communication systems

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Spatial Modulation and Sparse Regression Codes

Spatial Modulation and Sparse Regression Codes

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International Symposium on Wireless Communication Systems (ISWCS)

作者： Ahmed Al Kishki Volker Kuehn Faculty of Computer Science and Electrical Engineering University of Rostock

ISBN: (数字)9798350362510

ISBN: (纸本)9798350362527

The use of multiple antennas at both transmitter and receiver significantly improves the performance of wireless communication systems. multiple-input multiple-output (MIMO) systems are typically paired with orthogonal frequency-division multiplexing (OFDM) to handle frequency selective (FS) channels in an efficient way. This paper focuses on single-carrier MIMO systems using spatial modulation (SM), which transmits information by selecting a few active antennas from a larger set. Using segmentation at the transmitter, SM systems have the same mathematical structure as spatially coupled sparse regression codes (SC-SPARCs) and additive white Gaussian noise (AWGN) transmission. These codes are known to achieve AWGN capacity with approximate message passing (AMP) decoding. We analyze the performance of SM with AMP decoding for FS channels. This approach handles intersymbol interference without the need for cyclic prefixes. We compare different AMP variants and examine the impact of various system parameters like the channel memory and modulations schemes.

关键词： Wireless communication OFDM Transmitting antennas Refining Receivers Decoding Sensors

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Application of shunt active power filters in active distribution networks

Application of shunt active power filters in active distribu...

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2022 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2022

作者： Primorac, Mario Klaic, Zvonimir Znidarec, Matej Job, Josip Computer Science and Information Technology Osijek Faculty of Electrical Engineering Osijek Croatia

ISBN: (数字)9781665480321

ISBN: (纸本)9781665480321

Constant increase of electricity demand and integrated renewable energy sources in the grid results in harmonic distortions which can impair power quality (PQ). This paper proposes a methodology for the selection of shunt active power filters as a possible solution to these problems and suggests a way to determine the reference current of the filter. Presented analysis results of the installation of filter units at individual points of the test network, which represent real life distribution grid and power quality measurements, show positive effects of reducing the total harmonic distortion (THD). © 2022 IEEE.

关键词： Power quality

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A Hybrid-Logic Scheme for High-Performance and Low-Power Decoders in 7nm Process 17

A Hybrid-Logic Scheme for High-Performance and Low-Power Dec...

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17th IEEE International Conference on Solid-State and Integrated Circuit Technology, ICSICT 2024

作者： Xia, Donghao Zhang, Yuejun Xu, Mengfan Wen, Liang Guo, Yiting Ningbo University Faculty of Electrical Engineering and Computer Science Zhejiang315211 China China Coast Guard Academy Department of Electronic Technology Ningbo315211 China

ISBN: (纸本)9798350361834

Advancing memory circuitry has heightened the performance criteria for memory in diverse chip applications. Decoders, serving as peripheral circuits to memory devices, have be a prominent area of academic interest. The new NAND/NOR gate circuits are proposed using pass-transistor logic (PTL) and transmission gate logic (TGL). The two hybrid-logic design schemes of high-performance and low-power (HPLP) and HPLP inverting (HPLPI) utilizing PTL and TGL gate in combination with static CMOS logic for decoders are proposed, while achieving fewer transistors, faster speed, lower power dissipation as compared to conventional circuits. Experiments are conducted in TSMC 7nm FinFET process for hybrid-logic decoders. The simulation results indicate that, in comparison to conventional decoders, the proposed hybrid-logic 3-8 decoder demonstrates improvements, with the HPLP design reducing delay by over 19% and power by over 71%, and the HPLPI design reducing delay by over 17% and power by over 48%. © 2024 IEEE.

关键词： NAND circuits

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Drawbacks of Step Response Method for Detection of Foreign Metal Objects in Wireless Power Transfer System 45

Drawbacks of Step Response Method for Detection of Foreign M...

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45th Jubilee International Convention on Information, Communication and Electronic Technology, MIPRO 2022

作者： Vinko, D. Bilandzija, D. Filipovic, L. Computer Science and Information Technology Osijek Faculty of Electrical Engineering Osijek Croatia

ISBN: (纸本)9789532331035

Step response method is a method for detection of foreign metal objects in the proximity of the transmitter coil in WPT system. It is based on a measurement of the resonant frequency of the transmitter's LC tank. As such, it can be used on the fly, while the wireless power transfer takes place, and it should have low impact on WPT system performance. This paper discusses drawbacks of the step response method with respect to required modifications of the transmitter and receiver circuits, and also the impact it has on the DC power supply through increased inrush currents. The discussion is verified through measurements on the built prototype with implemented step response method. © 2022 Croatian Society MIPRO.

关键词： Inductive power transmission

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A Hybrid Method for Antenna Radiation with Parameters Variation

A Hybrid Method for Antenna Radiation with Parameters Variat...

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2022 International Applied Computational Electromagnetics Society Symposium, ACES-China 2022

作者： Fu, Kunpeng Shao, Hanru Ningbo University Faculty of Electrical Engineering and Computer Science Ningbo315211 China

ISBN: (纸本)9781665452366

In this paper, a scheme combining frequency- and material-independent response (FMIR), mode order reduction (MOR), and tangential equivalence principle algorithm (T-EPA) is proposed to analyze the radiation problem of antenna array near a large PEC plate with parameters variation. The wave input-output relationship of the scatterers can be encapsulated into a reduced-order model (ROM). The ROM can be pre-calculated and re-used when the location of the radiator is changed. By expanding the Taylor series of the Green's function exponent, the calculation of impedance matrix with frequency sweep can be accelerated by FMIR. Finally, the T-EPA is used to reduce the number of unknowns and improve the convergence of the integral equation. © 2022 IEEE.

关键词： Integral equations

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Cancellable Multi-Biometric Template Generation Based on Arnold Cat Map and Aliasing

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computers, Materials & Continua 2022年第8期72卷 3687-3703页

作者： Ahmed M.Ayoup Ashraf A.M.Khalaf Walid El-Shafai Fathi E.Abd El-Samie Fahad Alraddady Salwa M.Serag Eldin Electrical Communications Engineering Department Faculty of EngineeringMinia UniversityMinia61111Egypt Electronics and Electrical Communications Engineering Department Faculty of Electronic EngineeringMenoufia University32952MenoufEgypt Security Engineering Lab Computer Science DepartmentPrince Sultan UniversityRiyadh11586Saudi Arabia Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Electronics and Electrical Communications Engineering Faculty of EngineeringTanta UniversityTantaEgypt

The cancellable biometric transformations are designed to be computationally difficult to obtain the original biometric *** paper presents a cancellable multi-biometric identification scheme that includes four stages:biometric data collection and processing,Arnold’s Cat Map encryption,decimation process to reduce the size,and finalmerging of the four biometrics in a single generated ***,a 2D matrix of size 128×128 is created based on Arnold’s Cat Map(ACM).The purpose of this rearrangement is to break the correlation between pixels to hide the biometric patterns and merge these patterns together for more *** decimation is performed to keep the dimensions of the overall cancellable template similar to those of a single template to avoid data ***,some sort of aliasing occurs due to decimation,contributing to the intended distortion of biometric *** hybrid structure that comprises encryption,decimation,andmerging generates encrypted and distorted cancellable *** simulation results obtained for performance evaluation show that the system is safe,reliable,and feasible as it achieves high security in the presence of noise.

关键词： Aliasing technique selective encryption ACM decimation process

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Week Ahead Electricity Power and Price Forecasting Using Improved DenseNet-121 Method

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computers, Materials & Continua 2022年第9期72卷 4249-4265页

作者： Muhammad Irfan Ali Raza Faisal Althobiani Nasir Ayub Muhammad Idrees Zain Ali Kashif Rizwan Abdullah Saeed Alwadie Saleh Mohammed Ghonaim Hesham Abdushkour Saifur Rahman Omar Alshorman Samar Alqhtani Electrical Engineering Department College of EngineeringNajran University Saudi ArabiaNajran61441Saudi Arabia Department of Computer Science COMSATS University IslamabadWah Campus22060Pakistan Faculty of Maritime Studies King Abdulaziz UniversityJeddah21589Saudi Arabia Department of Computer Science Federal Urdu University of ArtsScience and TechnologyIslamabad44000Pakistan School of Electrical Engineering and Computer Science National University of Science and TechnologyIslamabad44000Pakistan Department of Computer Science and Engineering University of Engineering and TechnologyNarowal CampusLahore54000Pakistan Department of Electrical Engineering HITEC UniversityTaxila47080Pakistan College of Computer Science and Information Systems Najran UniversityNajran61441Saudi Arabia

In the Smart Grid(SG)residential environment,consumers change their power consumption routine according to the price and incentives announced by the utility,which causes the prices to deviate from the initial ***,electricity demand and price forecasting play a significant role and can help in terms of reliability and *** to the massive amount of data,big data analytics for forecasting becomes a hot topic in the SG *** this paper,the changing and non-linearity of consumer consumption pattern complex data is taken as *** minimize the computational cost and complexity of the data,the average of the feature engineering approaches includes:Recursive Feature Eliminator(RFE),Extreme Gradient Boosting(XGboost),Random Forest(RF),and are upgraded to extract the most relevant and significant *** this end,we have proposed the DensetNet-121 network and Support Vector Machine(SVM)ensemble with Aquila Optimizer(AO)to ensure adaptability and handle the complexity of data in the ***,the AO method helps to tune the parameters of DensNet(121 layers)and SVM,which achieves less training loss,computational time,minimized overfitting problems and more training/test *** evaluation metrics and statistical analysis validate the proposed model results are better than the benchmark *** proposed method has achieved a minimal value of the Mean Average Percentage Error(MAPE)rate i.e.,8%by DenseNet-AO and 6%by SVM-AO and the maximum accurateness rate of 92%and 95%,respectively.

关键词： Smart grid deep neural networks consumer demand big data analytics load forecasting price forecasting

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