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检索条件"机构=Laboratory of System Control and Information Processing"
2186 条 记 录,以下是261-270 订阅
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A Robust CPD Approach Based on Shape Context  33
A Robust CPD Approach Based on Shape Context
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第三十三届中国控制会议
作者: YANG Yawen ZHANG Peng Peng QIAO Yu YANG Jie WANG Sheng Zheng The Key Laboratory of Ministry of Education for System Control and Information Processing Institute of Image Processing and Pattern RecognitionShanghai Jiao Tong University Merchant Marine College Shanghai Maritime University
Point matching is an important component of image *** years,Coherent Point Drift(CPD) method becomes a very popular point matching *** treats point matching as a probability estimation problem and speeds up the proces... 详细信息
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Predictive Zone control of Pressure Management for Water Supply Network systems
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International Journal of Automation and computing 2016年 第6期13卷 607-614页
作者: Dong-Ming Liu Shao-Yuan Li Department of Automation Shanghai Jiao Tong University Shanghai 200240 China Key Laboratory of System Control and Information Processing Ministry of Education Shanghai 200240 China Changzhou Institute of Light Industry Technology Jiangsu 213164 China
In this paper we address the problem of pressure management in water supply system (WSS) network. The model-based predictive control (MPC) strategies have some important features to deal with WSS. By hydraulic ana... 详细信息
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The optimization of location and control of pump stations in urban drainage system  35
The optimization of location and control of pump stations in...
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第35届中国控制会议
作者: CUI Yiqun HOU Shufang LI Dewei XI Yugeng CEN Lihui Key Laboratory of System Control and Information Processing Ministry of Education of ChinaDepartment of AutomationShanghai Jiao Tong University School of Information Science and Engineering Central South University
To reduce the overflow of the wastewater and high expense caused by redundant arrangement of the stations of pumps in the urban drainage system,a hybrid logistic optimization model is proposed to choose the locations ... 详细信息
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Data-driven Predictive control for the Industrial Processes with Multiphase and Transition
Data-driven Predictive Control for the Industrial Processes ...
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第25届中国控制与决策会议
作者: Hua Yang Shaoyuan Li College of Information Science and Engineering Ocean University of China Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China
Processes with multiphase are commonly found in process industries. Process dynamics and correlations among variables tend to change with the transitions across such phases. In this paper, we propose a new data-driven... 详细信息
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Background extraction algorithm based on K-means clustering algorithm and histogram analysis
Background extraction algorithm based on K-means clustering ...
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2012 IEEE International Conference on Computer Science and Automation Engineering, CSAE 2012
作者: Zhang, Yan Luo, Linkai Department of Automation Xiamen University Xiamen China Key Laboratory of System Control and Information Processing Ministry of Education Shanghai China
Background extraction is a fundamental task in many computer vision applications. This paper presents a novel method based on K-means Clustering Algorithm. First, the intensity values are divided into several groups b... 详细信息
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H∞ Model Reduction for Takagi-Sugeno Fuzzy systems via Space Projection  48
H∞ Model Reduction for Takagi-Sugeno Fuzzy Systems via Spac...
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48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022
作者: Zheng, Hua Zou, Yuanyuan Li, Shaoyuan Shanghai Jiao Tong University Ministry of Education Key Laboratory of System Control and Information Processing Department of Automation Shanghai China
In this paper, the problem of model reduction for Takagi-Sugeno (T-S) fuzzy systems is studied. The virtual inner disturbance is first constructed to map a potential link between the states of two systems before and a... 详细信息
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Global Update Guided Federated Learning  41
Global Update Guided Federated Learning
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第41届中国控制会议
作者: Qilong Wu Lin Liu Shibei Xue Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China School of Electronic Information Engineering Shanghai Dianji University
Federated learning protects data privacy and security by exchanging models instead of ***,unbalanced data distributions among participating clients compromise the accuracy and convergence speed of federated learning *... 详细信息
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Depth estimation and background segmentation for deformable packages from a single image using FCRN
Depth estimation and background segmentation for deformable ...
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2019 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2019
作者: Wang, Yunqing Chen, Weidong Wang, Hesheng Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China China
The depth of object is indispensable to provide the three-dimensional pose of robot grasping. In this paper, we only use one fully convolutional residual network to achieve both depth estimation and background segment... 详细信息
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Cognitive Navigation for Intelligent Mobile Robots:A Learning-Based Approach With Topological Memory Configuration
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IEEE/CAA Journal of Automatica Sinica 2024年 第9期11卷 1933-1943页
作者: Qiming Liu Xinru Cui Zhe Liu Hesheng Wang Department of Automation Shanghai Jiao Tong UniversityShanghai 200240China MoE Key Laboratory of Artificial Intelligence AI InstituteShanghai Jiao Tong UniversityShanghai 200240China Department of Automation Key Laboratory of System Control and Information Processing of Ministry of EducationKey Laboratory of Marine Intelligent Equipment and System of Ministry of EducationShanghai Engineering Research Center of Intelligent Control and ManagementShanghai Jiao Tong UniversityShanghai 200240China
Autonomous navigation for intelligent mobile robots has gained significant attention,with a focus on enabling robots to generate reliable policies based on maintenance of spatial *** this paper,we propose a learning-b... 详细信息
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Early Forest Fire Detection Based on Deep Learning  3
Early Forest Fire Detection Based on Deep Learning
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3rd International Conference on Industrial Artificial Intelligence, IAI 2021
作者: Li, Mengna Zhang, Youmin Mu, Lingxia Xin, Jing Yu, Ziquan Liu, Han Xie, Guo Xi'an University of Technology Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Shaanxi Xi'an710048 China
Early fire detection is very important for preventing forest fires. In this paper, a new image-based fire detection algorithm, named as h-EfflcientDet, is proposed to complete the task of early forest fire detection. ... 详细信息
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