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检索条件"机构=Key Laboratory of System Control and Information Processing"
5537 条 记 录,以下是4911-4920 订阅
排序:
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
来源: 评论
Molecular model for information addressing and transporting based on DNA nanotechnology
Communications in Computer and Information Science
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Communications in Computer and information Science 2014年 472卷 29-34页
作者: Chen, Zhihua Qiang, Xiaoli Zhang, Kai Key Laboratory of Image Information Processing and Intelligent Control School of Automation Huazhong University of Science and Technology WuhanHubei430074 China College of Computer Science South-Central University for Nationalities WuhanHubei430074 China School of Computer Science Wuhan University of Science and Technology WuhanHubei430081 China
DNA-based information processing includes storage, addressing, transporting and error-correction, etc. Here we describe a feasible model that can extract and transport the information from specified sources to targete... 详细信息
来源: 评论
Use Knowledge to Augment Data from Scratch: An Explainable Deep Immunohistochemical Diagnosis Model
SSRN
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SSRN 2024年
作者: Zhao, Jing Liu, Yuhan Zhang, Xinzhu Sun, Shiliang Yin, Minzhi School of Computer Science and Technology East China Normal University Shanghai200062 China Key Laboratory of System Control and Information Processing Ministry of Education Shanghai200240 China Department of Automation Shanghai Jiao Tong University Shanghai200240 China Department of Pathology Shanghai Children’s Medical Center Shanghai Jiao Tong University School of Medicine Shanghai200127 China
Pathological diagnosis has an important role as the last step in cancer diagnosis. When the naked eye is not enough to identify cancer, we usually use further immunohistochemical diagnosis, which is the detection of s... 详细信息
来源: 评论
Breast Cancer Diagnosis Using an Unsupervised Feature Extraction Algorithm Based on Deep Learning
Breast Cancer Diagnosis Using an Unsupervised Feature Extrac...
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Chinese control Conference
作者: Yawen Xiao Jun Wu Zongli Lin Xiaodong Zhao Department of Automation Key Laboratory of System Control and Information Processing of Ministry of Education Shanghai China The Center for Bioinformatics and Computational Biology East China Normal University Shanghai China Charles L. Brown Department of Electrical and Computer Engineering University of Virginia Charlottesville VA U.S.A School of Biomedical Engineering Shanghai Jiao Tong University Shanghai China
Breast cancer is the most often detected cancer in women. At the same time, it is one of the most curable types of cancer if diagnosed early. With the development of the detection technology, a growing amount of clini... 详细信息
来源: 评论
FBG-Based Triaxial Force Sensor Integrated with an Eccentrically Configured Imaging Probe for Endoluminal Optical Biopsy
arXiv
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arXiv 2020年
作者: Wu, Zicong Gao, Anzhu Liu, Ning Jin, Zhu Yang, Guang-Zhong Hamlyn Centre for Robotic Surgery Imperial College London LondonSW7 2AZ United Kingdom Institute of Medical Robotics Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education Shanghai200240 China Institute of Medical Robotics Shanghai Jiao Tong University Shanghai200240 China
Accurate force sensing is important for endoluminal intervention in terms of both safety and lesion targeting. This paper develops an FBG-based force sensor for robotic bronchoscopy by configuring three FBG sensors at... 详细信息
来源: 评论
Dynamic Sparse Coding-Based Value Estimation Network for Deep Reinforcement Learning
SSRN
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SSRN 2023年
作者: Zhao, Haoli Li, Zhenni Su, Wensheng Xie, Shengli School of Automation Guangdong University of Technology Guangzhou510006 China 111 Center for Intelligent Batch Manufacturing Based on IoT Technology GDUT Guangzhou510006 China Key Laboratory of Intelligent Detection The Internet of Things in Manufacturing GDUT Ministry of Education Guangzhou510006 China Key Laboratory of Intelligent Information Processing and System Integration of IoT GDUT Ministry of Education Guangzhou510006 China
Deep Reinforcement Learning (DRL) is one powerful tool for varied control automation problems. Performances of DRL highly depend on the accuracy of value estimation for states from environments. However, the Value Est... 详细信息
来源: 评论
Self-guided Few-shot Semantic Segmentation for Remote Sensing Imagery Based on Large Vision Models
arXiv
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arXiv 2023年
作者: Qi, Xiyu Wu, Yifan Mao, Yongqiang Zhang, Wenhui Zhang, Yidan Aerospace Information Research Institute Chinese Academy of Sciences Beijing100190 China Aerospace Information Research Institute Chinese Academy of Sciences Beijing100190 China Key Laboratory of Technology in Geo-Spatial Information Processing and Application System Aerospace Information Research Institute Chinese Academy of Sciences Beijing100190 China School of Electronic Electrical and Communication Engineering University of Chinese Academy of Sciences Beijing100190 China
The Segment Anything Model (SAM) exhibits remarkable versatility and zero-shot learning abilities, owing largely to its extensive training data (SA-1B). Recognizing SAM's dependency on manual guidance given its ca... 详细信息
来源: 评论
SA-UCBSS: Sparsity-Based Adaptive Underdetermined Convolutive Blind Source Separation
SSRN
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SSRN 2023年
作者: Xie, Yuan Zou, Tao Yang, Junjie Sun, Weijun Xie, Shengli School of Mechanical and Electrical Engineering Guangzhou University Guangzhou Key Laboratory of Integrated Automation of Manufacturing Process Guangzhou510006 China School of Automation Guangdong University of Technology Joint International Research Laboratory of Intelligent Information Processing and System Integration of IoT Ministry of Education of the P.R.C. Guangzhou510006 China School of Automation Guangdong University of Technology Guangdong Key Laboratory of IoT Information Processing Guangdong-HongKong-Macao Joint Laboratory for Smart Discrete Manufacturing Guangzhou510006 China School of Automation Guangdong University of Technology Key Laboratory of Intelligent Detection and the IoT in Manufacturing Ministry of Education 111 Center for Intelligent Batch Manufacturing Based on IoT Technology Guangzhou510006 China
Blind source separation is the process of separating unknown source signals only based on received mixing signals when the source signal cannot be accurately known. Traditional methods are mainly based on linear appro... 详细信息
来源: 评论
Robust fault tolerant controller design using indirect adaptive sliding mode control strategy
Robust fault tolerant controller design using indirect adapt...
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IEEE International Conference on Cyber Technology in Automation, control, and Intelligent systems
作者: Hui Li Li-Ying Hao Xiang-Gui Guo Dalian Maritime University Dalian Liaoning CN Information Science and Technology College Dalian Maritime University Dalian Liaoning China The College of Information Engineering Dalian Ocean University Dalian Liaoning China Tianjin Key Laboratory for Control Theory & Applications in Complicated System Tianjin Univnrsity of Technology Tianjin China
In this paper, indirect adaptive sliding mode control schemes are developed to solve the robust fault tolerant control (FTC) design problem of actuator fault and perturbation compensations for linear time-invariant sy... 详细信息
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The 2022 report of synergetic roadmap on carbon neutrality and clean air for China:Accelerating transition in key sectors
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Environmental Science and Ecotechnology 2024年 第3期19卷 4-18页
作者: Yu Lei Zhicong Yin Xi Lu Qiang Zhang Jicheng Gong Bofeng Cai Cilan Cai Qimin Chai Huopo Chen Renjie Chen Shi Chen Wenhui Chen Jing Cheng Xiyuan Chi Hancheng Dai Xiangzhao Feng Guannan Geng Jianlin Hu Shan Hu Cunrui Huang Tiantian Li Wei Li Xiaomei Li Jun Liu Xin Liu Zhu Liu Jinghui Ma Yue Qin Dan Tong Xuhui Wang Xuying Wang Rui Wu Qingyang Xiao Yang Xie Xiaolong Xu Tao Xue Haipeng Yu Da Zhang Ning Zhang Shaohui Zhang Shaojun Zhang Xian Zhang Xin Zhang Zengkai Zhang Bo Zheng Yixuan Zheng Jian Zhou Tong Zhu Jinnan Wang Kebin He Center of Air Quality Simulation and System Analysis Chinese Academy of Environmental PlanningBeijing100041China Center for Carbon Neutrality Chinese Academy of Environmental PlanningBeijing100041China Key Laboratory of Meteorological Disaster Ministry of Education/Joint International Research Laboratory of Climate and Environment Change(ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD)Nanjing University of Information Science&TechnologyNanjing210044China State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing100084China Institute for Carbon Neutrality Tsinghua UniversityBeijing100084China Ministry of Education Key Laboratory for Earth System Modelling Department of Earth System ScienceTsinghua UniversityBeijing100084China State Key Joint Laboratory for Environment Simulation and Pollution Control College of Environmental Sciences and Engineering and Center for Environment and HealthPeking UniversityBeijing100871China National Center for Climate Change Strategy and International CooperationBeijing100035China Nansen-Zhu International Research Centre Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing100029China School of Public Health Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of HealthFudan UniversityShanghai200032China School of Economics and Management Beijing University of Chemical TechnologyBeijing100029China Department of Earth System Science University of CaliforniaIrvineCA92697USA National Meteorological Center China Meteorological AdministrationBeijing100081China College of Environmental Sciences and Engineering Peking UniversityBeijing100871China Policy Research Center for Environment and Economy Ministry of Ecology and Environment of the People's Republic of ChinaBeijing100029China Jiangsu Key Laboratory of Atmospheric Environment Monitoring
China is now confronting the intertwined challenges of air pollution and climate *** the high synergies between air pollution abatement and climate change mitigation,the Chinese government is actively promoting synerg... 详细信息
来源: 评论