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ENERGY-EFFICIENT: 作品数：351被引量：509H指数：10; 导出分析报告; 相关领域：自动化与计算机技术更多>>; 相关作者：徐光辉黄如朱杰潘志文尤肖虎更多>>; 相关机构：东南大学上海交通大学解放军理工大学北京邮电大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金中国博士后科学基金国家高技术研究发展计划国家重点基础研究发展计划更多>>

Energy-Efficient Air Conditioning System with Combined a Ceiling Fan for Thermal Comfort in an Office: 《Energy Engineering》2025年第5期1771-1787,共17页Linlan Chang Win-Jet Luo Indra Permana Bowo Yuli Prasetyo Alya Penta Agharid Fujen Wang; support by the National Science and Technology Council under Grant No.NSTC 112-2221-E-167-017-MY3.; Heating,Ventilation,andAir Conditioning(HVAC)systems are critical formaintaining thermal comfort in office environments which also crucial for occupant well-being and productivity.This study investigates the impact of...; 关键词：Thermal comfort ceiling fan field measurement questionnaire survey numerical simulation

Energy-Efficient Encoding for RIS-Assisted Communication System Under Measurement-Based Power Consumption:Method and Field Trials: 《China Communications》2025年第4期281-295,共15页Sang Jian Lan Jifeng Li Xiao TangWankai Jin Shi; supported in part by the National Natural Science Foundation of China under Grants 62231009 and 62261160576;in part by the Fundamental Research Funds for the Central Universities under Grant 2242023K5003;in part by the Startup Research Fund of Southeast University under Grant RF1028623267。; Reconfigurable intelligent surfaces(RISs)with the capability of nearly passive beamforming,have recently sparked considerable interests.This paper presents an energy-efficient discrete phase encoding method for RIS-as...; 关键词：energy efficiency phase design power consumption RIS-assisted communications

Evolution of spiking neural networks: 《宁波大学学报(理工版)》2025年第2期59-70,共12页TALANOV Max FEDOROVA Alina KIPELKIN Ivan VALLVERDU Jordi EROKHIN Victor; Supported by CUP(J53C22003010006,J43C24000230007);ICREA2019.; Spiking neural networks(SNNs)represent a biologically-inspired computational framework that bridges neuroscience and artificial intelligence,offering unique advantages in temporal data processing,energy efficiency,and...; 关键词：spiking neural networks MEMRISTOR phase portraits energy-efficient AI neuromorphic computing

Call for Papers:Special Section on Energy-Efficient Technologies: 《Journal of Electronic Science and Technology》2025年第1期I0001-I0001,共1页; From energy generation to transportation,from energy distribution to storage,from semiconductor processing to communications,and from portable devices to data centers,energy consumption has grown to be a major limitat...; 关键词：EPOCH CENTERS PORTABLE

Coverage-Optimal UAV Deployment and Energy-Efficient Sensor Power Allocation for UAV-Enabled Data Collection: 《Journal of Communications and Information Networks》2025年第1期50-56,共7页Dong Wang Runqin Rong Guizhi Li; supported by the National Natural Science Foundation of China under Grant 61871401.; Using unmanned aerial vehicles(UAVs)to collect data provides a paradigm for the design of wireless sensor networks(WSNs),but faces with the challenges of data security and energy limitation.To cope with these issues,t...; 关键词：physical layer security data collection power allocation energy efficiency unmanned aerial ve-hicle wireless sensor network

Deep-EERA:DRL-Based Energy-Efficient Resource Allocation in UAV-Empowered Beyond 5G Networks: 《Tsinghua Science and Technology》2025年第1期418-432,共15页Shabeer Ahmad Jinling Zhang Ali Nauman Adil Khan Khizar Abbas Babar Hayat; supported by the National Natural Science Foundation of China(No.62271063);the National Key Laboratory of Science and Technology on Vacuum Electronics,and the Director Fund of Beijing Key Laboratory of Space-ground Interconnection and Convergence.; The rise of innovative applications,like online gaming,smart healthcare,and Internet of Things(IoT)services,has increased demand for high data rates and seamless connectivity,posing challenges for Beyond 5G(B5G)networ...; 关键词：Deep Reinforcement Learning(DRL) Unmanned Aerial Vehicles(UAVs) resource allocation energy efficiency 5G and beyond network

Energy-Efficient D2D-Aided Dual UAV Data Collection: 《Chinese Journal of Electronics》2025年第1期176-185,共10页Qiulei Huang Wei Wang Zhaohui Song Nan Zhao; supported by the National Key R&D Program of China(Grant No.2020YFB1807002)。; Aided by device-to-device(D2D)connections,unmanned aerial vehicle(UAV)can significantly enhance the coverage of wireless communications.In this paper,we consider a data collection system with the assistance of D2D,whe...; 关键词：Data collection Device-to-device Energy efficiency Trajectory optimization Unmanned aerial vehicle

Orbitronics for energy-efficient magnetization switching: 《Science China(Information Sciences)》2025年第1期395-396,共2页Yuxuan YAO Daoqian ZHU Qingtao XIA Jianing LIANG Yuhao JIANG Zhiyang PENG Jiaxu LI Chen XIAO Renyou XU Wenwen WANG Xiantao SHANG Shiyang LU Dapeng ZHU Hong-Xi LIU Kaihua CAO Weisheng ZHAO; supported by National Key Research and Development Program of China(Grant Nos.2022YFB4400200,2022YFA1402604);National Natural Science Foundation of China(Grant Nos.92164206,52121001,62404013,T2394472,T2394474);Beijing Natural Science Foundation(Grant No.L234081);New Cornerstone Science Foundation through the XPLORER PRIZE,National Postdoctoral Program for Innovative Talents(Grant No.BX20220374);Fundamental Research Funds for the Central Universities(Grant No.KG16254501).; Spin-orbit torque(SOT),as a promising writing method for magnetic random-access memory(MRAM),has garnered widespread interest for over a decade[1].Heavy metals,such as β-W,have been broadly adopted as spin current so...; 关键词：satisfying ENERGY ETCHING

Multi-objective optimal energy-efficient retrofit determination using hybrid urban building energy model:Considering uncertainties between models: 《Building Simulation》2025年第1期183-206,共24页Linxi Luo Hailu Wei Ziqi Lin Jiyuan Wu Wei Wang Yongjun Sun; sponsored by National Natural Science Foundation of China(Grant Nos.52394224 and 52208011).; Typical energy-efficient retrofit studies based on urban building energy models face challenges in quickly obtaining appropriate retrofit solutions and often ignore the unexpected outcomes caused by inherent model unc...; 关键词：urban building energy model building retrofit model uncertainty machine learning multi-objective optimization

Machine Learning for QoS Optimization and Energy-Efficient in Routing Clustering Wireless Sensors: 《Computers, Materials & Continua》2025年第1期327-343,共17页Rahma Gantassi Zaki Masood Yonghoon Choi; supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea(NRF-2023S1A5C2A07096111).; Wireless sensor network(WSN)technologies have advanced significantly in recent years.With in WSNs,machine learning algorithms are crucial in selecting cluster heads(CHs)based on various quality of service(QoS)metrics....; 关键词：LEACH-G-K MDC TSP QoS K-MEANS

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