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检索条件"机构=Shaanxi Key Lab of Complex System Control and Intelligent Information Processing"
273 条 记 录,以下是161-170 订阅
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An Approximated Domination Relationship based on Binary Classifiers for Evolutionary Multiobjective Optimization
An Approximated Domination Relationship based on Binary Clas...
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Congress on Evolutionary Computation
作者: Hao Hao Aimin Zhou Hu Zhang Shanghai Key Laboratory of Multidimensional Information Processing School of Computer Science and Technology East China Normal University Shanghai China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing Electro-mechanical Engineering Institute Beijing China
Preselection is an important strategy to improve evolutionary algorithms’ performance by filtering out unpromising solutions before fitness evaluations. This paper introduces a pre-selection strategy based on an appr... 详细信息
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Impulse control of chaos in the exible shaft rotating-lifting system of the mono-silicon crystal puller
arXiv
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arXiv 2020年
作者: Zhou, Zi-Xuan Grebogi, Celso Ren, Hai-Peng Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an University of Technology Xi'an Shaanxi710048 China North Minzu University Library Yinchuan Ningxia750021 China Institute for Complex System and Mathematical Biology University of Aberdeen AB24 3UE United Kingdom
Chaos is shown to occur in the flexible shaft rotating-lifting (FSRL) system of the mono-silicon crystal puller. Chaos is, however, harmful for the quality of mono-silicon crystal production. Therefore, it should be s... 详细信息
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Temperature prediction of generator carbon brush based on LSTM neural network
Temperature prediction of generator carbon brush based on LS...
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Chinese Automation Congress (CAC)
作者: Qing Zhang Tingyang Jiao Yinxing Ma Youmin Zhang Xiaohui Wu Pengyue Wu Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi’an University of Technology Xi’an China The Faculty of Computing Science The University of Alberta Edmonton Alberta Canada Concordia University Montreal Canada Huaneng Weihai Power Generation Co. Ltd Wei’hai China Xi’an Thermal Power Research Institute Co. Ltd Xi’an China
In order to improve the prediction accuracy of the carbon brush temperature trend of the generator, analyzing the operating state of the generator more accurately, and reduce other accidents like the unplanned outage ... 详细信息
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Research method of identifying transformer inrush current and fault current based on VMD-HHT
Research method of identifying transformer inrush current an...
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第三十八届中国控制会议
作者: Shangbin Jiao Yuan Chang Qing Zhang Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing(Xi'an University of Technology)
To settle the problem that identifying inrush current and fault current of large transformer is difficult,a new identification method which is a combination of variational mode decomposition(VMD)and Hilbert-Huang tran... 详细信息
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A novel single-phase-to-earth fault line method in small current grounding systems
A novel single-phase-to-earth fault line method in small cur...
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第三十八届中国控制会议
作者: Jiao Shangbin Guo Jingwen Li Yunjun Xiao Ting Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing(Xi'an University of Technology)
Aiming at the problem that the fault characteristics of single-phase-to-ground fault in small current grounding system are not obvious,the fault situation is complex,and the single fault criterion is difficult to accu... 详细信息
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Learning Latent Semantic Attributes for Zero-Shot Object Detection
Learning Latent Semantic Attributes for Zero-Shot Object Det...
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International Conference on Tools for Artificial Intelligence (ICTAI)
作者: Kang Wang Lu Zhang Yifan Tan Jiajia Zhao Shuigeng Zhou Shanghai Key Lab of Intelligent Information Processing and School of Computer Science Fudan University Shanghai China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing Electro-Mechanical Engineer Institute Beijing China
Zero-shot Object Detection (ZSD) aims to locate and classify instances of unseen categories. Existing methods focus on learning the mapping from visual space to semantic space, while the learning of discriminative rep... 详细信息
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A Learning Convolutional Neural Network Approach for Network Robustness Prediction
arXiv
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arXiv 2022年
作者: Lou, Yang Wu, Ruizi Li, Junli Wang, Lin Li, Xiang Chen, Guanrong The Department of Computing and Decision Sciences Lingnan University Hong Kong The Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China The College of Computer Science Sichuan Normal University Chengdu610066 China The Department of Automation Shanghai Jiao Tong University Shanghai200240 China The Institute of Complex Networks and Intelligent Systems Shanghai Research Institute for Intelligent Autonomous Systems Tongji University Shanghai201210 China The Department of Control Science and Engineering Tongji University Shanghai200240 China The Department of Electrical Engineering City University of Hong Kong Hong Kong
Network robustness is critical for various societal and industrial networks again malicious attacks. In particular, connectivity robustness and controllability robustness reflect how well a networked system can mainta... 详细信息
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Distributed Observer Design for Achieving Asymptotical Omniscience over Time-variant Disconnected Networks ⁎
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IFAC-PapersOnLine 2020年 第2期53卷 3565-3570页
作者: Haotian Xu Jingcheng Wang Hongyuan Wang Shangwei Zhao Hai Lin Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 China Autonomous Systems and Intelligent Control International Joint Research Center Xi’an Technological University Xi’an Shaanxi 710021 China
This paper investigates the distributed observer design for linear system under time-variant disconnected communication network. By constructing basic eigenvectors of 0-eigensubspace of disconnected Laplacian Matrix a... 详细信息
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NiuEM: A Nested-iterative Unsupervised Learning Model for Single-particle Cryo-EM Image processing
NiuEM: A Nested-iterative Unsupervised Learning Model for Si...
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2020 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020
作者: Hu, Rui Cai, Jiaming Zheng, Wangjie Yang, Yang Shen, Hong-Bin Shanghai Jiao Tong University Key Lab. of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering Department of Computer Science and Engineering Shanghai200240 China Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China Shanghai Jiao Tong University Department of Bioinformatics and Biostatistics Shanghai200240 China
Cryo-electron microscopy (cryo-EM) has become a mainstream technology for solving spatial structures of biomacromolecules, while the processing of cryo-EM images is a very challenging task. One of the great challenges... 详细信息
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An adaptive fault detection strategy for Cz crystal growth process
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IEEE Transactions on Instrumentation and Measurement 2025年
作者: Mu, Lingxia Feng, Nan Zhang, Zhenhua Zhang, Youmin Zhang, Jian Xian University of Technology Crystal Growth Equipment and Systems Integration National Engineering Research Center Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xian710048 China University of Science and Technology Beijing School of Intelligence Science and Technology Beijing100083 China Concordia University Department of Mechanical Industrial and Aerospace Engineering MontrealQCH3G 1M8 Canada
The monitoring and fault detection for the Czochralski (Cz) crystal growth process is important to ensure the quality of the produced mono-crystalline silicon. The Cz process is a typical multi-modes industrial proces... 详细信息
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