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检索条件"机构=Key Laboratory of Advanced Control and Optimization for Chemical Processes"
631 条 记 录,以下是601-610 订阅
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Oxidation of emerging organic contaminants by in-situ H_(2)O_(2) fenton system
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Green Energy & Environment 2024年 第3期9卷 417-434页
作者: Yuqin Ni Chuxiang Zhou Mingyang Xing Yi Zhou State Environmental Protection Key Lab of Environmental Risk Assessment and Control on Chemical Processes School of Resources&Environmental EngineeringEast China University of Science and TechnologyShanghai200237China Key Laboratory for Advanced Materials and Institute of Fine Chemicals National Engineering Laboratory for Industrial Wastewater TreatmentSchool of Chemistry and Molecular EngineeringEast China University of Science and Technology130 Meilong RoadShanghai200237China Department of Applied Natural Sciences Technische Hochschule LubeckMonkhofer Weg 23923562 LubeckGermany
The existence and risk of emerging organic contaminants(EOCs)have been under consideration and paid much effort to degrade these *** system is one of the most widely used technologies to solve this *** original Fenton... 详细信息
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Welding procedure expert system based on intelligent inference
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Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University 2014年 48卷 101-104页
作者: Wang, Xue-Wu Li, Yi-Xuan Yang, Shang-Yong Ding, Dong-Yan Gu, Xing-Sheng Key Laboratory of Advanced Control and Optimation for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai200237 China
Intelligent welding procedure expert system was developed to improve welding procedure selection for welding process in this paper. The expert system was designed based on Client/Server (C/S) mode, and the main functi... 详细信息
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Sliding Mode control for Interval Type-2 Fuzzy System Under Fading Channels
Sliding Mode Control for Interval Type-2 Fuzzy System Under ...
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International Conference on control and Automation (ICCA)
作者: Yekai Yang Yugang Niu Bei Chen Yuanyuan Zou Key Laboratory of Advanced Control and Optimization for Chemical Process (East China University of Science and Technology) Ministry of Education Shanghai China School of Electric and Electronic Engineering Shanghai University of Engineering Science Shanghai China Shanghai Jiao Tong University Shanghai China
This paper addresses the problem of sliding mode control for discrete-time interval type-2 fuzzy system subject to fading channels. The multiplicative fading model is established for reflecting the fluctuation of the ... 详细信息
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Sliding mode control for T-S fuzzy stochastic systems with Markovian switching
Sliding mode control for T-S fuzzy stochastic systems with M...
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第三十三届中国控制会议
作者: Bei Chen Yugang Niu Tinggang Jia Central Academe Shanghai Electric Group Co.Ltd. Key Laboratory of Advanced Control and Optimization for Chemical Process(East China University of Science and Technology) Ministry of Education Automation Division Shanghai Electric Group Co.Ltd.
This paper is concerned with the sliding mode control(SMC)problem for a class of T-S fuzzy stochastic systems with Markovian *** purpose of the problem addressed is to integrate the SMC method such that,for all admiss... 详细信息
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Quantum Go Machine
arXiv
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arXiv 2020年
作者: Qiao, Lu-Feng Gao, Jun Jiao, Zhi-Qiang Zhang, Zhe-Yong Cao, Zhu Ren, Ruo-Jing Zhang, Chao-Ni Hu, Cheng-Qiu Xu, Xiao-Yun Tang, Hao Ma, Zhi-Hao Jin, Xian-Min School of Physics and Astronomy State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong University Shanghai200240 China CAS Center for Excellence Synergetic Innovation Center in Quantum Information and Quantum Physics University of Science and Technology of China Hefei Anhui230026 China Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai200237 China School of Mathematical Sciences Shanghai Jiao Tong University Shanghai200240 China
Go has long been considered as a testbed for artificial intelligence. By introducing certain quantum features, such as superposition and collapse of wavefunction, we experimentally demonstrate a quantum version of Go ... 详细信息
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An online performance monitoring using statistics pattern based kernel independent component analysis for non-Gaussian process
An online performance monitoring using statistics pattern ba...
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Annual Conference of Industrial Electronics Society
作者: Xin Peng Ying Tian Yang Tang Wenli Du Weimin Zhong Feng Qian Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education East China University of Science and Technology Shanghai P. R. China Department of Electrical Engineering University of Shanghai for Science and Technology Shanghai P. R. China
An online monitoring method, which aims to deal with the high order non-Gaussian characteristics in chemical process, is proposed in this paper. In the framework of the proposed method, kernel based independent compon...
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Continuous use of ERP-based BCIs with different visual angles in ALS patients
arXiv
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arXiv 2017年
作者: Jin, Jing Allison, Brendan Z. Zhang, Yu Chen, Yan Zhou, Sijie Dong, Yi Wang, Xingyu Chchocki, Andrzej Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China Department of Neurology Huashan hospital Fudan University Shanghai China Department of Cognitive Science University of California at San Diego San DiegoCA United States Laboratory for Advanced Brain Signal Processing Brain Science Institute RIKEN Wako-shi Japan Systems Research Institute PAS Warsaw Poland Torun Poland
Objective: Amyotrophic lateral sclerosis (ALS) is a rare disease, but is also one of the most common motor neuron diseases, and people of all races and ethnic backgrounds are affected. There is currently no cure. Brai... 详细信息
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Multi-task GANs for semantic segmentation and depth completion with cycle consistency
arXiv
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arXiv 2020年
作者: Zhang, Chongzhen Tang, Yang Zhao, Chaoqiang Sun, Qiyu Ye, Zhencheng Kurths, Jürgen Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education East China University of Science and Technology Shanghai200237 China Potsdam Institute for Climate Impact Research Potsdam14473 Germany Institute of Physics Humboldt University of Berlin Berlin12489 Germany
Semantic segmentation and depth completion are two challenging tasks in scene understanding, and they are widely used in robotics and autonomous driving. Although several studies have been proposed to jointly train th... 详细信息
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Tiny Adversarial Multi-Objective Oneshot Neural Architecture Search
arXiv
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arXiv 2021年
作者: Xie, Guoyang Wang, Jinbao Yu, Guo Zheng, Feng Jin, Yaochu Department of Computer Science University of Surrey Guildford SurreyGU2 7XH United Kingdom Department of Computer Science Southern University of Science and Technology Shenzhen518055 China Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 China Faculty of Technology Bielefeld University Bielefleld D-33615 Germany
Due to limited computational cost and energy consumption, most neural network models deployed in mobile devices are tiny. However, tiny neural networks are commonly very vulnerable to attacks. Current research has pro... 详细信息
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Deep adaptive fuzzy clustering for evolutionary unsupervised representation learning
arXiv
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arXiv 2021年
作者: Tan, Dayu Huang, Zheng Peng, Xin Zhong, Weimin Mahalec, Vladimir Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai200237 China School of Engineering Practice and Technology McMaster University HamiltonONL8S 4L7 Canada Shanghai Institute of Intelligent Science and Technology Tongji University Shanghai200092 China Department of Chemical Engineering McMaster University HamiltonONL8S 4L7 Canada
Cluster assignment of large and complex images is a crucial but challenging task in pattern recognition and computer vision. In this study, we explore the possibility of employing fuzzy clustering in a deep neural net... 详细信息
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