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International Conference on Pattern Recognition

作者： Wanyi Li Peng Wang Hong Qiao Research Center of Precision Sensing and Control Institute of Automation Chinese Academy of Sciences Beijing China State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781479952106

Sparse coding has been used for target appearance modeling and applied successfully in visual tracking. However, noise may be inevitably introduced into the representation due to background clutter. To cope with this problem, we propose a saliency weighted sparse coding appearance model for visual tracking. Firstly, a spectral filtering based visual attention computational model, which combines both bottom-up and top-down visual attention, is proposed to calculate saliency map. Secondly, pooling operation in sparse coding is weighted by calculated saliency map to help target representation focus on distinctive features and suppress background clutter. Extensive experiments on a recently proposed tracking benchmark demonstrate that the proposed algorithm outperforms state-of-the-art methods in tracking objects under background clutter.

关键词： Visualization Target tracking Encoding Computational modeling Clutter Vectors Feature extraction

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ACP based self-learning control for urban intersection

ACP based self-learning control for urban intersection

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IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI

作者： Feng Chen Lingyun Zhu Chuyue Han Xiong Gang University of Science and Technology of China Hefei China The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing Beijing CN

The intersection models, such as delay models and queuing length models, are the foundations of optimal signal timing for urban intersection. Lack of the field data of intersection, it is highly difficult to calibrate parameters of the intersection models. Due to the effects of intersection topology, channelization and traffic conditions on these models, obviously it is impossible for single model to be suitable for optimal control of various intersections.

关键词： Silicon Optical saturation Queueing analysis Computational modeling Learning (artificial intelligence)

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Topological mapping and navigation based on visual sensor network

Topological mapping and navigation based on visual sensor ne...

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IEEE International Conference on Mechatronics and Automation

作者： Wenbo Yuan Zhiqiang Cao Min Tan Jingyu Liu State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China School of Electrical and Information Engineering Beijing jiaotong University Beijing China

ISBN: (纸本)9781479939800

In this paper, a novel topological mapping approach applied to the navigation mission is proposed based on visual sensor network. Firstly, the natural objects in the scene monitored by visual sensor network are recognized through the inference model based on structural features. Then, topological nodes are designed according to the recognized objects and their spatial structure information, and topological mapping will be fulfilled. On this basis, global localization for mobile robot in camera view can be implemented with HOG feature based detection and tracking. Finally, the robot can make motion decisions for navigation. Our approach does not rely on artificial landmarks and is tested in large-scale office scene. The effectiveness of the proposed approach is verified.

关键词： Visualization Robot sensing systems Navigation Cameras Image segmentation Feature extraction

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Prediction and Evaluation of Traffic states at Signalized Intersections

Prediction and Evaluation of Traffic States at Signalized In...

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2014 IEEE International Conference on Service Operations and Logistics,and Informatics

作者： Ji-quan Shen Qing-jie Kong State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences School of Computer Science and Technology Henan Polytechnic University Member IEEE

The parallel transportation system based on the method of ACP（Artificial systems,Computing experiments,Parallel control）will promote the level of city traffic intelligent decision and scientific management.A key problem in the system is how to design a computing experiment method to predict and evaluate the traffic state by real-time and *** paper introduces the discrete-time queuing model to analyze the traffic flow at the signalized intersection and gives the evaluation conditions of the traffic ***,the evaluation conditions are applied to judge the traffic state based on the prediction data of traffic flows from the grey *** show the method is effective and feasible.

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Computational experiments based on competitive influence diffusion model

Computational experiments based on competitive influence dif...

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IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI

作者： Kainan Cui Xiaolong Zheng The School of Electronic and Information Engineering Xi'an Jiaotong University Xi'an China The State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781479960590

Understanding the strategies to optimize/suppress information spreads under intense competition could provide important insights in a broad range of settings including viral marketing, emergency response and information system design. However, most of existing studies about competitive influence diffusion mainly focus on two-information competition mechanism. To date, the competitive influence maximization problem considering the mechanism of multi-information competition is still not well studied. In this paper, we conducted computational experiments to study the competitive influence maximization with multi-information competition mechanism. By applying an information diffusion model called limited attention model (LAM), we carried on two computational experiments to validate the model and investigate the relation between seed selection methods and the properties of information cascades. Our experimental results show that 1) the LAM model could reproduce the features of empirical distribution in Chinese social media; 2) the eigenvector centrality-based heuristic is a reasonable seed selection method for competitive influence maximization problem. The results of this paper can provide significant potential implications for information system design and management.

关键词： Computational modeling Media Blogs

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Prediction and evaluation of traffic states at signalized intersections

Prediction and evaluation of traffic states at signalized in...

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IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI

作者： Ji-quan Shen Qing-jie Kong The School of Computer Science and Technology Henan Polytechnic University Jiaozuo Henan China State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781479960590

The parallel transportation system based on the method of ACP (Artificial systems, Computing experiments, Parallel control) will promote the level of city traffic intelligent decision and scientific management. A key problem in the system is how to design a computing experiment method to predict and evaluate the traffic state by real-time and accuracy. This paper introduces the discrete-time queuing model to analyze the traffic flow at the signalized intersection and gives the evaluation conditions of the traffic state. Then, the evaluation conditions are applied to judge the traffic state based on the prediction data of traffic flows from the grey model. Experiments show the method is effective and feasible.

关键词： Computational modeling Analytical models Educational institutions Personnel Predictive models

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The identifier-based relative position estimation for leader-follower robotic system

The identifier-based relative position estimation for leader...

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IEEE International Conference on Mechatronics and Automation

作者： Lingyi Xu Zhiqiang Cao Peng Zhao Yixin Yin State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing China

ISBN: (纸本)9781479939800

A monocular vision measurement approach is presented for leader-follower robotic system to estimate the position of the leader robot relative to the follower robot. The color identifier with green and red blocks is attached on the back of the leader robot, and it may be captured by the camera mounted on the follower robot. A coarse-to-fine searching method is given to extract the center point of the identifier. The parameters of the camera with the combination of the intrinsic and extrinsic ones are calibrated via least square method with given relative positions and the corresponding image coordinates of the identifier's center. The parameters are further optimized with Levenberg-Marquardt method. Then the position of the leader robot relative to the follower robot can be estimated only with single feature point. The experimental results verify the validity of the given approach.

关键词： Robot kinematics Cameras Feature extraction Robot vision systems Position measurement Image color analysis

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Interventions of traffic flow for intersection based on interval type-2 fuzzy sets

Interventions of traffic flow for intersection based on inte...

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International Conference on Informative and Cybernetics for Computational Social systems (ICCSS)

作者： Xuan Li Hong Mo FengHua Zhu College Of Electrical And Information Engineering Changsha University Of Science And Technology Changsha China State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781479947515

Assessment and analysis of the intersection status can help to make the right choice of interventions, it's can bring convenience to solve the traffic congestion. In this paper, interval type-2 fuzzy sets is applied in the analysis of the intersection state and congestion intervention, dynamic fuzzy comprehensive evaluation and footprint of uncertainty are used to assess the intersection condition. Combined with the example of intersection congestion, through corresponding intervention measures to improve the intersections crowded conditions. Thus the linguistic dynamic orbits of road status figured out.

关键词： Fuzzy sets Pragmatics Extraterrestrial measurements Manganese Orbits Uncertainty Vehicle dynamics

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IEEE Joint Intelligence and Security Informatics Conference (JISIC)

作者： Qingchao Kong Wenji Mao Daniel Zeng Lei Wang State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China Department of Management Information Systems University of Arizona Tucson AZ USA College of Management and Economics Tianjin University Tianjin China

Web user's online interactive behavior with others often makes some user generated contents popular. The modeling and prediction of the popularity of online content are an important research issue for many key application domains. In this paper, we focus on one form of user generated content, forum threads, and their popularity prediction for public events security. To predict the popularity of forum threads, we first define the popularity prediction problem, and identify the dynamic factors that affect the popularity of forum threads. Based on the information of dynamic evolution at the early stage, we propose a popularity prediction algorithm which makes use of the locality property and combines multiple dynamic factors. The proposed algorithm is further evaluated using the Tianya forum dataset on the discussions of various public events. The experimental results show that, compared to the baseline methods, our method achieves relatively better performance in predicting the popularity of forum threads on public events security.

关键词： Heuristic algorithms Prediction algorithms Classification algorithms Instruction sets Message systems Predictive models Hidden Markov models

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Quality Risk management Model for Railway Construction Projects

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Procedia Engineering 2014年 84卷 195-203页

作者： Li Qing Liu Rengkui Zhang Jun Sun Quanxin State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing 100044 China Shanghai Railway Bureau Construction Management Department Shanghai 200071 China MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology Beijing Jiaotong University Beijing 100044 China

Information technology has significant potential to enhance the engineering quality of the risk management of railway construction projects. The Shanghai Railway Bureau has promoted a risk management method based on the “A Figure and Four Tables” method (AFFTM) to assess the engineering quality; however, this method still suffers from several problems in railway construction project management. In this paper, we have combined the concepts and processes of the AFFTM with those of information technology and presented the implementation scheme of a new risk management system—the railway construction project quality risk management information system (RCPQRMIS)—that can be used to design and develop workable information tools for quality risk management. The paper analyzes the data standards of RCPQRMIS and creates a model for dynamically tracking the quality risk (“quality risk dynamic tracking” model) for providing pre-warning information on quality risk (“quality risk pre-warning” model) and for automatically generating publicity parameters for quality risk (“automatically generated quality risk publicity figure” model). The proposed system enables the visualization of the quality associated with the risk control, dynamic tracking, automatic pre-warning, and closed-loop management of railway construction projects. In addition, this paper presents the functional modules of the RCPQRMIS and its practical applications. Our application results show that the system successfully realized unified management of risk source information and multi-level sharing. In this manner, by using our system, we were able to significantly improve real-time tracking and pre-warning of the risk state, automatic generation of quality risk publicity figures, efficiency, and risk management levels.

关键词： railway construction project risk management a figure and four tables method MIS

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