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A fast network partition method for large-scale urban traffic networks

控制理论与应用（英文版） 2013年第3期11卷 359-366页

作者： Zhao ZHOU Shu LIN Yugeng XI Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education

In order to control the large-scale urban traffic network through hierarchical or decentralized methods, it is necessary to exploit a network partition method, which should be both effective in extracting subnetworks and fast to compute. In this paper, a new approach to calculate the correlation degree, which determines the desire for interconnection between two adjacent intersections, is first proposed. It is used as a weight of a link in an urban traffic network, which considers both the physical characteristics and the dynamic traffic information of the link. Then, a fast network division approach by optimizing the modularity, which is a criterion to distinguish the quality of the partition results, is applied to identify the subnetworks for large-scale urban traffic networks. Finally, an application to a specified urban traffic network is investigated using the proposed algorithm. The results show that it is an effective and efficient method for partitioning urban traffic networks automatically in real world.

关键词： Traffic signal control Large-scale urban traffic networks Network partition

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Quantized Consensus for Multi-agent Networks with Directed Switching Topologies

Quantized Consensus for Multi-agent Networks with Directed S...

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第三十二届中国控制会议

作者： Li Dequan Liu Qipeng Wang Xiaofan Yin Zhixiang School of Science Anhui University of Science and Technology Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China

ISBN: (纸本)9781479900305

This paper studies the quantized consensus problem for a group of agents over directed networks with switching topologies. We propose an effective distributed protocol with an adaptive finite-level uniform quantized strategy, under which consensus among agents can be guaranteed without utilizing existing symmetry error-compensation method. We conduct convergence analysis based on related input-to-output stability result, which avoids the typical common left eigenvector requirement for the existence of common quadratic lyapunov function. In particular, it is established that, provided the duration of link failure in the directed network is bounded, then at each time instant, each agent (may be nonreciprocally) sends 5-level quantization information to each of its intimate neighbors, together with 3-level quantization information to itself, which suffices for ensuring consensus with an exponential convergence rate. The proposed quantized protocol features little communication protocol overhead and fits well into the digital network framework.

关键词： Quantization, Consensus, Directed Networks, Switching Topology

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Salient object detection via color contrast and color distribution

Salient object detection via color contrast and color distri...

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11th Asian Conference on Computer Vision, ACCV 2012

作者： Fu, Keren Gong, Chen Yang, Jie Zhou, Yue Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Shanghai 200240 China

ISBN: (纸本)9783642373305

In this paper, we take the advantages of color contrast and color distribution to get high quality saliency maps. The overall procedure flow of our unified framework contains superpixel pre-segmentation, color contrast and color distribution computation, combination, final refinement and then object segmentation. During color contrast saliency computation, we combine two color systems and then introduce the using of distribution prior before saliency smoothing. It works to select correct color components. In addition, we propose a novel saliency smoothing procedure that is based on superpixel regions and is realized in color space. This processing step leads to total object being highlighted evenly, contributing to high quality color contrast saliency maps. Finally, a new refinement approach is utilized to eliminate artifacts and recover unconnected parts in the combined saliency maps. In visual comparison, our method produces higher quality saliency maps which stress out the total object meanwhile suppress background clutters. Both qualitative and quantitative experiments show our approach outperforms 8 state-of-the-art methods, achieving the highest precision rate 96% (3% improvement from the current highest), when evaluated via one of the most popular data sets [1]. Excellent content-aware image resizing also can be achieved with our saliency maps. © 2013 Springer-Verlag.

关键词： Superpixels

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Distributed predictive control for energy management of multi-microgrids systems

Distributed predictive control for energy management of mult...

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13th IFAC Symposium on Large Scale Complex systems: Theory and Applications, LSS 2013

作者： Xu, Jun Zou, Yuanyuan Niu, Yugang Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China Univ. of Science and Technology Shanghai 200237 China Key Laboratory of System Control and Information Processing Ministry of Education Shanghai 200240 China

In this paper, a distributed model predictive control (DMPC) scheme is presented to optimize the power flow management of microgrids in smart grid environment. For a multi-microgrids system in which local microgrid links with each other through particular channels for power and information, the proposed method can maximize the overall energy efficiency. The DMPC optimization problem is formulated by minimizing the surplus/insufficient energy in each microgrid and a constraint restriction is imposed to guarantee the closed-loop stability. A simulation example is carried out to demonstrate the feasibility and effectiveness of this energy management strategy. © IFAC.

关键词： Electric power distribution

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An octree-based proxy for collision detection in large-scale particle systems

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Science China(information Sciences) 2013年第1期56卷 55-64页

作者： FAN WenShan WANG Bin PAUL Jean-Claude SUN JiaGuang School of Software Tsinghua University Beijing Aerospace Control Center Department of Computer Science and Technology Tsinghua University Key Laboratory for Information System Security Ministry of Education of China Tsinghua National Laboratory for Information Science and Technology Institut National de Recherche en Informatique et en Automatique(INRIA)

Particle systems are important building block for simulating vivid and detail-rich effects in virtual *** of the most difficult aspects of particle systems has been detecting collisions between particles and mesh *** to the huge computation,a variety of proxy-based approaches have been proposed recently to perform visually correct ***,all either limit the complexity of the scene,fail to guarantee non-penetration,or are too slow for real-time use with many *** this paper,we propose a new octree-based proxy for colliding particles with meshes on the *** approach works by subdividing the scene mesh with an octree in which each leaf node associates with a representative normal corresponding to the normals of the triangles that intersect the *** present a view-visible method,which is suitable for both closed and non-closed models,to label the empty leaf nodes adjacent to nonempty ones with appropriate back/front property,allowing particles to collide with both sides of the scene *** show how collisions can be performed robustly on this proxy structure in place of the original mesh,and describe an extension that allows for fast traversal of the octree structure on the *** experiments show that the proposed method is fast enough for real-time performance with millions of particles interacting with complex scenes.

关键词： particle systems collision detection octree-based proxy GPU

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Analyzing Motion Patterns in Crowded Scenes via Automatic Tracklets Clustering

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China Communications 2013年第4期10卷 144-154页

作者：王冲 赵旭邹毅刘允才 Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China

Crowded scene analysis is currently a hot and challenging topic in computer vision field. The ability to analyze motion patterns from videos is a difficult, but critical part of this problem. In this paper, we propose a novel approach for the analysis of motion patterns by clustering the tracklets using an unsupervised hierarchical clustering algorithm, where the similarity between tracklets is measured by the Longest Common Subsequences. The tracklets are obtained by tracking dense points under three effective rules, therefore enabling it to capture the motion patterns in crowded scenes. The analysis of motion patterns is implemented in a completely unsupervised way, and the tracklets are clustered automatically through hierarchical clustering algorithm based on a graphic model. To validate the performance of our approach, we conducted experimental evaluations on two datasets. The results reveal the precise distributions of motion patterns in current crowded videos and demonstrate the effectiveness of our approach.

关键词： crowded scene analysis motionpattern tracklet automatic clustering

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An improved logistic model for cluster co-agglomeration

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International Journal of Applied Mathematics and Statistics 2013年第20期50卷 14-20页

作者： Zhang, Yingchao Xiong, Xiong Zhang, Qidong Zhou, Jianhua Institute of Information and System Science Nanjing University of Information Science and Technology Nanjing 210044 China Key Laboratory of Meteorological Disaster of Ministry of Education Nanjing University of Information Science and Technology Nanjing 210044 China College of Electrical Engineering Southeast University Nanjing 210044 China School of Information and Control Nanjing University of Information Science and Technology Nanjing 210044 China

Ascribing to the comparability between industrial cluster and biological populations, this work combines industrial cluster with populations ecological system, divides the government's factors influencing the industry cluster into three part: internal force, external force and the gradually changed environmental force. Based on these three parts, this study proposes a nonlinear dynamic model with single species industrial cluster. Then, a coagglomeration Logistic model is proposed by improving the Logistic model. The co-agglomeration Logistic model can display recession of the industrial cluster under certain conditions and get the inflection point value flexibly. Furthermore, the analytical solution of the equation is derived. Finally, the empirical analysis of Suzhou Electronic information Industrial Cluster is provided, the result shows that the co-agglomeration Logistic model can not only coincident with the general evolution of industrial cluster better, but also reflect government assistance in the industrial cluster to provide scientific basis for government decision making of how to assist the development of industrial cluster. © 2013 by CESER Publications.

关键词： Agglomeration

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Analyzing the characteristics of "East Turkistan" activities using text mining and network analysis

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Zidonghua Xuebao/Acta Automatica Sinica 2014年第11期40卷 2456-2468页

作者： Fu, Ju-Lei Liu, Wen-Li Zheng, Xiao-Long Fan, Ying Wang, Shou-Yang College of Information System and Management National University of Defense Technology Changsha410073 China Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China State Key Laboratory of Management and Control Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China Cloud Computing Industrial Technology Innovation and Incubation Center Chinese Academy of Sciences Dongguan523808 China School of Systems Science Beijing Normal University Beijing100875 China

Open source intelligence, with rich content and sophisticated collection and analytical techniques, is an alternative data source in many anti-terrorism studies and has manifested significant applicable prospects. In this paper, we take the "East Turkistan" separatist activities as the research objects and collect the data from the world wide web by utilizing web crawlers. We adopt text analysis techniques to extract the information of four fundamental elements of "East Turkistan" separatist activities, including person, organization, time and place, and then construct multi-mode networks according to the relations between concepts. To analyze the characteristics of these networks, we first apply the approach of dimensional decomposition to separate the multimode networks into single vertex sub-networks and bipartite sub-networks, distinguish the importances of different types of nodes by measuring the centrality of each sub-network, and synthesize the centrality index of each sub-network to form an importance composite index (ICI). To further identify the core nodes of the four types of nodes in the network, we adopt the k-shell decomposition method to directly decompose the multi-mode network. We find that the results produced by these approaches presented above can be in accord with the actual ones. ©, 2014, Acta Automatica Sinica. All rights reserved.

关键词： Data mining

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Research and application of multiple model Predictive control in Ultra-supercritical boiler-turbine system

Communications in Computer and Information Science

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Communications in Computer and information Science 2013年 355卷 469-476页

作者： Tian, Hengfeng Yan, Weiwu Wang, Guoliang Chen, Shihe Zhang, Xi Hu, Yong Li, Nan Department of Automation Shanghai Jiao Tong University Shanghai 200240 China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 China Guangdong Electric Power Research Institute Guangzhou 510600 China

Based on analyzing the characteristics of Ultra-supercritical unit, this paper introduced a multiple model MCPC (Multivariable Constrained Predictive control) structure with three inputs and three outputs for coordination control of Ultra-supercritical unit. In the structure, double-layer structure of optimization was used to obtain good steady and dynamic performance, and piecewise linear models at the different operating points of Ultra-supercritical unit were used to deal with nonlinearity. In the real-time simulation, nonlinear model of 1000MW Ultrasupercritical unit in [1] was considered. Finally, the result of real-time simulation was given in the paper. © Springer-Verlag Berlin Heidelberg 2013.

关键词： Model predictive control

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Application of multivariable model prediction control to Ultra-supercritical unit

Communications in Computer and Information Science

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Communications in Computer and information Science 2013年 355卷 496-504页

作者： Chen, Shihe Zhang, Xi Wang, Guoliang Yan, Weiwu Guangdong Electric Power Research Institute Guangzhou 510600 China Department of Automation Shanghai Jiao Tong University Shanghai 200240 China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 China

In this paper, development of ultra supercritical unit control is summarized. Based on analyzing the control difficulties and the input-output relationship of Ultra-supercritical Units, a model predictive control scheme for Ultra-supercritical Unit is proposed. The input variables are fuel flow, turbine valve opening and water flow and output variables are load, steam temperatureteam pressure. The algorithm and implementation method are also given in details. © Springer-Verlag Berlin Heidelberg 2013.

关键词： Model predictive control

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