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Journal of Modern Power Systems and Clean Energy 2022年第1期10卷 1-11页

作者： Iasonas Kouveliotis-Lysikatos Nikos Hatziargyriou Yanli Liu Felix Wu Department of Electrical Engineering and Computer Science KTH-Royal Institute of TechnologyTeknikringen 3310040StockholmSweden School of Electrical and Computer Engineering National Technical University of Athens15773 AthensGreece School of Electrical and Information Engineering Tianjin UniversityTianjin300072China Department of Electrical and Electronic Engineering The University of Hong KongHong KongChina Department of Electrical Engineering and Computer Sciences University of CaliforniaBerkeleyCA 94720USA

The great challenges faced by modern power systems require a fresh look at the conventional operation paradigm. The significant challenges faced by modern power systems require an innovative method for the conventional operation paradigm. We claim that the decarbonization of the power grid and extensive electrification of numerous sectors of human activity can only be fostered by a self-adaptable and smart power grid that manifests similar qualities to those of the Internet. The Internet is constructed on a layered architecture that facilitates technology innovations and its intelligence is distributed throughout a hierarchy of networks. In this paper, the fundamental differences between the network data flows and power flows are examined, and the basic requirements for an innovative operation paradigm are highlighted. The current power grid is operated in a highly inflexible, centralized manner to meet increased security goals. A new highly flexible, distributed architecture can be realized by distributing the operation responsibility in smaller areas or even in grid components that can make autonomous decisions. The characteristics of such a power grid are presented, and the key features and advances for the on-going transition to a sustainable power system are identified. Finally, a case study on distributed voltage control is presented and discussed.

关键词： Smart grid Internet distributed intelligence decentralized architecture

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Dual-Buck Bipolar Buck-Boost AC-AC Converter With Reduced Semiconductor Devices

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IEEE Transactions on Industrial Electronics 2024年第9期71卷 10495-10511页

作者： Ahmed, Hafiz Furqan Chien, Howard Khan, Ashraf Ali Islam, Shirazul Akbar, Fazal Alzaabi, Omar National Sun Yat-sen University Department of Electrical Engineering Kaohsiung80424 Taiwan Memorial University of Newfoundland Faculty of Engineering And Applied Science Department of Electrical And Computer Engineering St. John'sNLA1B 3X9 Canada Qatar University Department of Electrical Engineering Doha2713 Qatar University of Edinburgh EdinburghEH9 3JL United Kingdom Khalifa University Department of Electrical Engineering And Computer Science Advanced Power And Energy Center Abu Dhabi127788 United Arab Emirates

Dual-buck (DB) structured ac-ac converters are becoming advanced due to their inherent protection from open- and short-circuit risks, and elimination of commutation issue. However, the existing DB ac-ac converters provide restricted bipolar voltage operations with a large semiconductor device count and underutilized inductors. This article proposed a new reduced switch DB ac-ac converter without commutation issue. The propose converter provides multiple buck-boost voltage operations with noninverting and inverting outputs, making it a flexible topology for various ac voltage applications. The propose converter exhibits the continuous input and output currents irrespective of operation mode, and performs well with nonunity power factor loads. The positive and negative voltage gains of the proposed converter can address the grid voltage sag and swell issues, respectively, making it right candidate for application as dynamic voltage restorer. A detailed comparative evaluation is carried out with existing DB converters, which validated the effectiveness of the proposed converter, including;reduced semiconductor device count and their power ratings, reduced inductor sizes with improved magnetic utilization, enhanced voltage compensation ranges, and better efficiency. A laboratory scale hardware prototype of the proposed converter is built and thoroughly tested to validate its operation. © 1982-2012 IEEE.

关键词： Semiconductor devices

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A Modified Octagonal Ring-Loaded Cross Dipole FSS for mmWave Electromagnetic Shielding

A Modified Octagonal Ring-Loaded Cross Dipole FSS for mmWave...

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2024 IEEE Microwaves, Antennas, and Propagation Conference, MAPCON 2024

作者： Kumari, Archana Sharma, Ruby Rahmani, Hamed Chaudhary, Raghvendra Kumar Department of Electrical Engineering Indian Institute of Technology Kanpur India Department of Electrical and Computer Engineering New York University Tandon School of Engineering United States

ISBN: (纸本)9798350379693

This paper discusses a novel design of an ultrathin conformal modified octagonal ring-loaded cross dipole frequency selective surface (MORCD-FSS). The proposed FSS offers multifunctional properties such as in-band passband and out-of-band electromagnetic interference (EMI) shielding. Equivalent circuit model analysis has been performed for insight working and validating the simulated results. In addition, the conformal analysis of the FSS has also been carried out on the cylindrical surface at different radii to check its shielding effectiveness (SE) performance. The proposed MPRCD-FSS offers a 3-dB passband response from 13.5 GHz to 24.6 GHz and 26.62 GHz to 29.5 GHz, respectively. Moreover, out-of-band EMI shielding has been observed from 8.3 GHz to 11.55 GHz (SE = 87.3 dB), from 25.5 GHz to 26.4 GHz (SE = 44.10 dB) and 31.2 GHz and 35 GHz (SE = 76.6 dB). © 2024 IEEE.

关键词： Electromagnetic shielding

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Watch You under Low-Resolution and Low-Illumination: Face Enhancement via Bi-Factor Degradation Decoupling

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IEEE Transactions on Circuits and Systems for Video Technology 2024年第5期34卷 3481-3495页

作者： Ding, Xin Wang, Zheng Fang, Jing Shu, Zhenyu Hu, Ruimin Lin, Chia-Wen NingboTech University School of Computer and Data Engineering Ningbo315100 China Wuhan University National Engineering Research Center for Multimedia Software School of Computer Wuhan430072 China National Tsing Hua University Department of Electrical Engineering The Institute of Communications Engineering Hsinchu300044 Taiwan

Face enhancement aims to improve low-quality face images to a higher-quality level. However, in real-world nighttime scenes, complex degradation factors often affect these images, making it challenging to preserve important facial details. Existing image enhancement algorithms typically focus on independently conducting image super-resolution and brightness enhancement, assuming a fixed degradation level based on simulated training datasets. Nonetheless, real nighttime scenes involve complex degradation processes, where degradation factors dynamically and variably manifest. Therefore, achieving effective face enhancement in such scenarios is particularly daunting. This work analyzes and unveils the multiple factors of low resolution and low illumination during degradation. Based on this analysis, we propose a Bi-factor Degradation Decoupling network. Our method leverages a decoupling network to generate qualitative and quantitative features corresponding to each factor's degradation degree in the low-quality environment. These features are then combined with robust facial feature constraints to recover the details of low-quality faces. Extensive experiments demonstrate that our method surpasses state-of-the-art approaches in both enhancement and face super-resolution. © 1991-2012 IEEE.

关键词： Image reconstruction

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Optimizing Crisis Management with Advanced UAV Imaging Technology 4

Optimizing Crisis Management with Advanced UAV Imaging Techn...

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4th International Conference on Sustainable Expert Systems, ICSES 2024

作者： Reddy, Jambula Snehith Mathi, Sri Chaithanya Reddy, Polu Sai Nadh Mateti, Vedha Pranava Yadav, Sudha Amrita School of Engineering Department of Electrical and Electronics Engineering Bengaluru India Amrita School of Engineering Department of Computer Science and Engineering Bengaluru India

ISBN: (纸本)9798331540364

The UAV systems that are fitted with current technology have helped in boosting the crisis management activities such as disaster relief operations, search and rescues, and policing. This paper integrates the developmental function of advanced detective UAVs into episodes of crises. These UAVs are capable of quickly and effectively assessing the damage, find people and observe post-disaster occurrences through with the help of complicated image analysis. It incorporates cameras with HD resolutions, thermal imagery systems, and numerous ML algorithms that allow entities and people to be identified besides detecting heat through barriers and thus increase the operational effectiveness during response operations. Indeed, the social implication as noticed with detective UAVs is highly useful in that it provides support services in disaster, bringing relief directly to the affected groups and guaranteeing the security of the rescue squads. Therefore, these UAVs enhance crisis consequence management, reducing death rates, the number of casualties and the extent of property damage. They do also help in safety and security to the public through assisting the police in surveillance and the fight against crime. Analyzing UAV's physical and virtual units, the challenges describe the UAV's use cases in different kinds of crises, such as natural ones, industrial failures, and criminal events. It also deals with issues such as restrictive policies, data security, and the requirement of professional personnel. From case studies and more personal accounts, detective UAVs' potential of crisis management is revolutionary: loss of life is avoided, damage to property is limited, and order is maintained. If further developed and properly integrated into the emergency management systems, UAVs will be the part of the equipment of the future for enhancing the efficiency of response to critical situations. © 2024 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Enhancing AI-Supported Channel Estimation in MIMO Systems with Open Set Recognition

Enhancing AI-Supported Channel Estimation in MIMO Systems wi...

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2024 IEEE Global Communications Conference, GLOBECOM 2024

作者： Zhang, Huiwen Kumar, Venkataramani Ye, Feng Hu, Rose Qingyang Qian, Yi University of Wisconsin-Madison Department of Electrical and Computer Engineering MadisonWI United States University of Puerto Rico Department of Computer Science and Engineering Mayaguez Puerto Rico Utah State University Department of Electrical and Computer Engineering LoganUT United States University of Nebraska-Lincoln Department of Electrical and Computer Engineering OmahaNE United States

ISBN: (纸本)9798350351255

Accurate channel estimation is required for various multiple input multiple output (MIMO) implementations in the next-generation wireless communication systems. Recently, Artificial Intelligence (AI) techniques have been introduced for channel state information (CSI) processing in channel estimation because of their accuracy and relatively low complexity compared to the traditional approaches. However, these AI-supported CSI processing models are usually developed with a fixed training dataset. Therefore, the performance of such approaches cannot be guaranteed in new environments. This paper focuses on enhancing AI-supported channel estimation methods with a 2-stage open set recognition scheme. New environments are detected in the first stage by identifying different characteristics between testing and training data. In the second stage, new data is filtered and further categorized to each individual environment. Simulation results using four different environment settings demonstrate that the proposed method can greatly enhance the usability of AI-supported channel estimation. © 2024 IEEE.

关键词： Channel state information

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Blockchain-Based Lightweight Certificateless Authenticated Key Agreement Protocol for V2V Communications in IoV

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IEEE Internet of Things Journal 2024年第16期11卷 27744-27759页

作者： Lin, Hui-Tang Jhuang, Wei-Li National Cheng Kung University Institute of Computer and Communication Engineering The Department of Electrical Engineering Tainan City701 Taiwan Silicon Motion Technology Corporation Zhubei Taiwan

With the emergence of the Internet of Things, traditional vehicular ad hoc networks have evolved into the more sophisticated Internet of Vehicles (IoV). IoV is expected to play a key role in the development of future smart cities and intelligent transportation systems. However, like most information technology systems, IoV is vulnerable to the cyberattack. A hacker may gain control over a vehicle, thereby posing serious danger to the vehicle occupants, surrounding vehicles and pedestrians. Consequently, improving the security of IoV is essential in ensuring its future success. Among the various security concerns surrounding IoV, secure communications and authentication are two of the most critical. Currently, most proposed works suffers the single-point-of-failure (SPOF) problem and the trusted third party (TTP) compromise issue. To address these issues, the present study proposes a secure key generation mechanism which leverages the advantages of blockchain technology and certificateless public-key cryptography. In the proposed method, the distributed architecture of blockchain is exploited to realize a decentralized TTP service to prevent the SPOF problem and the TTP compromise issue. In addition, an authenticated key agreement (AKA) protocol based on the legal key pairs is proposed to facilitate efficient mutual authentication and session key agreement between the vehicles. The security analysis results show that the proposed schemes have excellent resistance to the typical TTP issues. Moreover, the feasibility of the proposed AKA protocol is demonstrated through the extended Canetti-Krawczyk model. Finally, the performance analysis results show that the proposed scheme yields a significant reduction in the computational cost compared to the existing AKA protocols. © 2014 IEEE.

关键词： Smart contract

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SEF:A Smart and Energy-Aware Forwarding Strategy for NDN-Based Internet of Healthcare

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computers, Materials & Continua 2024年第12期81卷 4625-4658页

作者： Naeem Ali Askar Adib Habbal Hassen Hamouda Abdullah Mohammad Alnajim Sheroz Khan Department of Computer Engineering Faculty of EngineeringKarabük UniversityKarabük78050Türkiye Department ofManagement Information Systems College of Business AdministrationMajmaah UniversityAl-Majmaah11952Saudi Arabia Department of Information Technology College of ComputerQassim UniversityBuraydah51452Saudi Arabia Department of Electrical Engineering College of Engineering and Information TechnologyOnaizah CollegesQassim51911Saudi Arabia

Named Data Networking(NDN)has emerged as a promising communication paradigm,emphasizing content-centric access rather than location-based *** model offers several advantages for Internet of Healthcare Things(IoHT)environments,including efficient content distribution,built-in security,and natural support for mobility and ***,existing NDN-based IoHT systems face inefficiencies in their forwarding strategy,where identical Interest packets are forwarded across multiple nodes,causing broadcast storms,increased collisions,higher energy consumption,and *** issues negatively impact healthcare system performance,particularly for individuals with disabilities and chronic diseases requiring continuous *** address these challenges,we propose a Smart and Energy-Aware Forwarding(SEF)strategy based on reinforcement learning for NDN-based *** SEF strategy leverages the geographical distance and energy levels of neighboring nodes,enabling devices to make more informed forwarding decisions and optimize next-hop *** approach reduces broadcast storms,optimizes overall energy consumption,and extends network *** system model,which targets smart hospitals and monitoring systems for individuals with disabilities,was examined in relation to the proposed *** SEF strategy was then implemented in the NS-3 simulation environment to assess its performance in healthcare *** demonstrated that SEF significantly enhanced NDN-based IoHT ***,it reduced energy consumption by up to 27.11%,82.23%,and 84.44%,decreased retrieval time by 20.23%,48.12%,and 51.65%,and achieved satisfaction rates that were approximately 0.69 higher than those of other strategies,even in more densely populated *** forwarding strategy is anticipated to substantially improve the quality and efficiency of NDN-based IoHT systems.

关键词： Energy efficient forwarding strategy health information system internet technologies IoHT people with disabilities reinforcement learning Q-learning

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A Promising Approach for Next-Generation Mobile Communications 3

A Promising Approach for Next-Generation Mobile Communicatio...

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3rd International Conference on electrical, Electronics, Information and Communication Technologies, ICEEICT 2024

作者： Abdulhussien, Saif A. Hamza, Noor Aldeen Ibrahim, Sarmad K. Mustansiriyah University College of Engineering Electrical Engineering Department Baghdad Iraq Mustansiriyah University College of Engineering Computer Engineering Department Baghdad Iraq

ISBN: (纸本)9798350369083

The introduction of 5G technology has intensified the demand for higher throughput in mobile communications. This study identifies and addresses key obstacles to optimal 5G throughput, focusing on spectrum allocation, interference mitigation, and resource management. We propose an innovative approach utilizing advanced algorithms and resource management strategies to enhance throughput efficiency. Simulations and real-world experiments demonstrate a 27% improvement in throughput performance over traditional 5G systems. This research contributes to ongoing 5G advancements by providing practical solutions to current throughput challenges, highlighting the potential of our technology to significantly enhance the performance and efficiency of future wireless communication systems. © 2024 IEEE.

关键词： 5G mobile communication systems

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Recent Advances in Single-Atom Catalysts for Photoelectrocatalytic Water Splitting

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Carbon Energy 2025年第4期7卷 114-142页

作者： Jiao Yang Xiaoyang Zheng Syed Shoaib Ahmad Shah Chao Wang Xueyao Li Zhishuo Yan Lishan Peng Key Laboratory of Rare Earths Ganjiang Innovation Academy Chinese Academy of Sciences Institute of Applied Physics and Materials Engineering University of Macau Department of Mechanical Engineering Graduate School of Engineering The University of Tokyo Department of Chemistry School of Natural Sciences National University of Sciences and Technology Department of Chemistry University of Connecticut School of Rare Earths University of Science and Technology of China Department of Electrical and Computer Engineering North Dakota State University

Hydrogen is a highly promising energy carrier because of its renewable and clean qualities. Among the different methods for H2production, photoelectrocatalysis（PEC） water splitting has garnered significant interest, thanks to the abundant and perennial solar energy. Single-atom catalysts（SACs）, which feature well-distributed atoms anchored on supports, have gained great attention in PEC water splitting for their unique advantages in overcoming the limitations of conventional PEC ***, we comprehensively review SAC-incorporated photoelectrocatalysts for efficient PEC water splitting. We begin by highlighting the benefits of SACs in improving charge transfer, catalytic selectivity, and catalytic activity, which address the limitations of conventional PEC reactions. Next, we provide a comprehensive overview of established synthetic techniques for optimizing the properties of SACs, along with modern characterization methods to confirm their unique structures. Finally, we discuss the challenges and future directions in basic research and advancements, providing insights and guidance for this developing field.

关键词： hydrogen production photoelectrocatalysis single-atom catalysts water splitting

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