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检索条件"机构=Key Laboratory of Embedded System and Service Computing"
634 条 记 录,以下是621-630 订阅
Aggregation capacity of wireless sensor networks: Extended network case
Aggregation capacity of wireless sensor networks: Extended n...
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IEEE Annual Joint Conference: INFOCOM, IEEE Computer and Communications Societies
作者: Cheng Wang Changjun Jiang Yunhao Liu Xiang-Yang Li Shaojie Tang Huadong Ma Key Laboratory of Embedded System and Service Computing Ministry of Education Shanghai China Department of Computer Science University of Tongji Shanghai China Department of Computer Science and Engineering Hong Kong University of Science and Technology Hong Kong China TNLIST School of Software Tsinghua University China Department of Computer Science Illinois Institute of Technology Chicago IL USA Department of Computer Science Beijing University of Posts and Telecommunications Beijing China
A critical function of wireless sensor networks (WSNs) is data gathering. While, one is often only interested in collecting a relevant function of the sensor measurements at a sink node, rather than downloading all th... 详细信息
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Petri Net-Based Cycle Time Analysis of Dual-Arm Cluster Tools With Wafer Revisiting and Swapping Strategy
Petri Net-Based Cycle Time Analysis of Dual-Arm Cluster Tool...
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2011 IEEE International Conference on Robotics and Automation(2011年IEEE世界机器人与自动化大会 ICRA 2011)
作者: NaiQi Wu Feng Chu Chengbin Chu MengChu Zhou Department of Industrial Engineering School of Mechatronics EngineeringGuangdong University of Tech Laboratoire d'IBISC FRE CNRS 3190 Université d'Evry Val d'EssonneCE 1455 Courcouronnes 91020 Evry C Laboratoire G(e)nie Industriel Ecole Centrale ParisGrande voie des Vignes92295 CH(A)TENAY-MALABRY The MoE Key Laboratory of Embedded System and Service Computing Tongji UniversityShanghai 200092Ch
There are wafer fabrication processes in cluster tools that require revisiting. It is shown that swapping is efficient in operating a dual-arm cluster tool. For dual-arm cluster tools with wafer revisiting, if a swap ... 详细信息
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CSformer: Bridging Convolution and Transformer for Compressive Sensing
arXiv
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arXiv 2021年
作者: Ye, Dongjie Ni, Zhangkai Wang, Hanli Zhang, Jian Wang, Shiqi Kwong, Sam The Department of Computer Science City University of Hong Kong 999077 Hong Kong The Department of Computer Science & Technology Key Laboratory of Embedded System and Service Computing Ministry of Education Shanghai Institute of Intelligent Science and Technology Tongji University Shanghai200092 China The School of Electronic and Computer Engineering Peking University Shenzhen Graduate School Shenzhen518055 China The Peng Cheng Laboratory Shenzhen518052 China The City University of Hong Kong Shenzhen Research Institute Shenzhen518057 China
Convolution neural networks (CNNs) have succeeded in compressive image sensing. However, due to the inductive bias of locality and weight sharing, the convolution operations demonstrate the intrinsic limitations in mo... 详细信息
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Behavioral authentication for security and safety
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Security and Safety 2024年 第3期3卷 50-85页
作者: Cheng Wang Hao Tang Hangyu Zhu Junhan Zheng Changjun Jiang Department of Computer Science and Technology Tongji UniversityShanghai 201804China Key Laboratory of Embedded System and Service Computing Ministry of EducationShanghai 201804China Shanghai Artificial Intelligence Laboratory Shanghai 200232China
The issues of both system security and safety can be dissected integrally from the perspective of behavioral appropriateness. That is, a system that is secure or safe can be judged by whether the behavior of certain a... 详细信息
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Joint resource management for MC-NOMA: A deep reinforcement learning approach
arXiv
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arXiv 2021年
作者: Wang, Shaoyang Lv, Tiejun Ni, Wei Beaulieu, Norman C. Guo, Y. Jay Key Laboratory of Trustworthy Distributed Computing and Service Ministry of Education School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing100876 China Sydney2122 Australia Beijing Key Laboratory for Network System Architecture and Convergence School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing100876 China Global Big Data Technologies Centre University of Technology Sydney UltimoNSW2007 Australia
This paper presents a novel and effective deep reinforcement learning (DRL)-based approach to addressing joint resource management (JRM) in a practical multi-carrier non-orthogonal multiple access (MC-NOMA) system, wh... 详细信息
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New approximation operator of rough fuzzy sets
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Tongji Daxue Xuebao/Journal of Tongji University 2008年 第6期36卷 827-831页
作者: Cheng, Yi Miao, Duoqian Liu, Yong Feng, Qinrong Key Laboratory of Embedded System and Service Computing Tongji University Shanghai 201804 China College of Mathematical Sciences Ocean University of China Qingdao 266071 China Department of Computer Science and Technology Tongji University Shanghai 201804 China College of Information Science and Engineering Ocean University of China Qingdao 266071 China
For Dubois rough fuzzy sets, the membership of the lower or upper approximations is defined as the elements memberships' infimum or supsmum in equivalent class. As a result of not considering the elements whose me... 详细信息
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Optimization dynamics evaluation mode for particle swarm algorithm
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Nanjing Li Gong Daxue Xuebao/Journal of Nanjing University of Science and Technology 2009年 第SUPPL. 1期33卷 1-6页
作者: An, Jing Yang, Dong-Sheng Wang, Lei Kang, Qi Wu, Qi-Di College of Electronics and Information Engineering Tongji University Shanghai 201804 China School of Mechanical and Automation Engineering Shanghai Institute of Technology Shanghai 200235 China Embedded System and Computer-service Key Laboratory of Ministry of Education Tongji University Shanghai 201804 China
Based on the fundamental evaluation index system of intelligent optimization, a type of optimization dynamics evaluation mode for particle swarm algorithm is presented here. The mode is used for general optimization p... 详细信息
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The Security and Privacy of Mobile Edge computing: An Artificial Intelligence Perspective
arXiv
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arXiv 2024年
作者: Wang, Cheng Yuan, Zenghui Zhou, Pan Xu, Zichuan Li, Ruixuan Wu, Dapeng Oliver Hubei Engineering Research Center on Big Data Security Key Laboratory of Distributed System Security of Hubei Province School of Cyber Science and Engineering Huazhong University of Science and Technology Wuhan430074 China School of Software The Key Laboratory for Ubiquitous Network Service Software of Liaoning Province Dalian University of Technology Dalian116024 China Intelligent and Distributed Computing Laboratory School of Computer Science and Technology Huazhong University of Science and Technology Wuhan430074 China Department of Computer Science City University of Hong Kong Kowloon999077 Hong Kong
Mobile Edge computing (MEC) is a new computing paradigm that enables cloud computing and information technology (IT) services to be delivered at the network’s edge. By shifting the load of cloud computing to individu... 详细信息
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Recent progress of integrated circuits and optoelectronic chips
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Science China(Information Sciences) 2021年 第10期64卷 103-135页
作者: Yue HAO Shuiying XIANG Genquan HAN Jincheng ZHANG Xiaohua MA Zhangming ZHU Xingxing GUO Yahui ZHANG Yanan HAN Ziwei SONG Yan LIU Ling YANG Hong ZHOU Jiangyi SHI Wei ZHANG Min XU Weisheng ZHAO Biao PAN Yangqi HUANG Qi LIU Yimao CAI Jian ZHU Xin OU Tiangui YOU Huaqiang WU Bin GAO Zhiyong ZHANG Guoping GUO Yonghua CHEN Yong LIU Xiangfei CHEN Chunlai XUE Xingjun WANG Lixia ZHAO Xihua ZOU Lianshan YAN Ming LI School of Microelectronics Xidian University State Key Laboratory of Integrated Service Networks Xidian University National Integrated Circuit Innovation Center School of Microelectronics Fudan University School of Integrated Circuit Science and Engineering Beihang University China Center for Information Industry Development Frontier Institute of Chip and System Fudan University Institute of Microelectronics Peking University Nanjing Electronic Devices Institute State Key Laboratory of Functional Material for Informatics Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Institute of Microelectronics Tsinghua University Center for Carbon-based Electronics Department of Electronics Peking University CAS Key Laboratory of Quantum Information University of Science and Technology of China CAS Center for Excellence and Synergetic Innovation Center in Quantum Information and Quantum Physics University of Science and Technology of China Origin Quantum Computing Company Limited Key Laboratory of Flexible Electronics & Institute of Advanced Materials Nanjing Tech University State Key Laboratory of Electronic Thin Films and Integrated Devices School of Optoelectronic Science and EngineeringUniversity of Electronic Science and Technology of China National Laboratory of Solid State Microstructures & College of Engineering and Applied Sciences Nanjing University State Key Laboratory on Integrated Optoelectronics Institute of Semiconductors Chinese Academy of Sciences Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of Sciences State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Engineering and Computer Science Peking University School of Electrical and Electronic Engineering Tiangong University Center for Information Photonics and Communications School of Information Science and TechnologySouthwest Jiaotong University School of Electronic Electrical and Communication Engineering
Integrated circuits(ICs) and optoelectronic chips are the foundation stones of the modern information society. The IC industry has been driven by the so-called "Moore's law" in the past 60 years, and now... 详细信息
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Multi-task variational information bottleneck
arXiv
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arXiv 2020年
作者: Qian, Weizhu Chen, Bowei Zhang, Yichao Wen, Guanghui Gechter, Franck Le laboratoire Connaissance et Intelligence Artificielle Distribuées Université Bourgogne Franche-Comté France Adam Smith Business School University of Glasgow United Kingdom Department of Computer Science and Technology Tongji University China Key Laboratory of Embedded System and Service Computing Tongji University Ministry of Education Shanghai200092 China Department of Systems Science School of Mathematics Southeast University Nanjing210016 China School of Engineering RMIT University MelbourneVIC3000 Australia Le laboratoire Connaissance et Intelligence Artificielle Distribuées Université Bourgogne Franche-Comté and Mosel LORIA UMR CNRS Université de Lorraine 7503 France
Multi-task learning (MTL) is an important subject in machine learning and artificial intelligence. Its applications to computer vision, signal processing, and speech recognition are ubiquitous. Although this subject h... 详细信息
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