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检索条件"机构=State Key Laboratory of Intelligent Control and Management of Complex Systems"

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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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Using Web Data to Enhance Traffic Situation Awareness

Using Web Data to Enhance Traffic Situation Awareness

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17th International IEEE Conference on intelligent Transportation systems & The Asia-Pacific Council on systems Engineering Conference 2014

作者： Xiao Wang Ke Zeng Xue-Liang Zhao Fei-Yue Wang Qingdao Academy of Intelligent Industries State Key Lab of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences school of electronic and information engineering Xi’an Jiaotong University

With the ubiquity of mobile communication devices,people experiencing traffic jams share real-time information and interact with each other on social media sites,which provide new channels to monitor,estimate and manage traffic *** this paper,we use natural language processing and data mining technologies to extract traffic jam related information from ***,analyze the content of people’s talk to discover the "talking point" of people when facing traffic jams,and to provide data support for relevant authorities to make successful and effective decisions for real-time traffic jam response and management.

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Research on Multi-Dimensional Data Visualization Analysis of Large Enterprise's Purchasing Fund

Research on Multi-Dimensional Data Visualization Analysis of...

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

作者： Minhui Lv Hongxia Zhao School of Management Huazhong University of Science and Technology Department of Equipment Economics and Management Naval University of Engineering The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences

With the continuous development of data storage technology,the complexity,category and size of data increase sharply;on the other hand,the wide expansion of its application domain brings great challenges on the traditional data processing and analysis *** this paper,the data analysis and processing technology and its development status are introduced and by multi-dimensional data visualization analysis method and combining the knowledge of domain experts,the equipment purchasing fund data of a large enterprise is analyzed to provide reliable management decision to the investment and investment volume of business fund.

关键词： data analysis data mining visualization corporate purchasing fund

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Visual Tracking via Saliency Weighted Sparse Coding Appearance Model

Visual Tracking via Saliency Weighted Sparse Coding Appearan...

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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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Optimal Formation of Robots by the Continuous-Discrete PSO Algorithm in Three Dimensional Space

Optimal Formation of Robots by the Continuous-Discrete PSO A...

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第26届中国控制与决策会议

作者： Jun Liu Hongbin Ma Tianyun Shi Ping Li School of Automation Beijing Institute of Technology State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institution of Technology Institute of Computing Technologies Chinese Academy of Railway Sciences

ISBN: (纸本)9781479937097

This paper mainly provides and develops a new continuous-discrete PSO algorithm for handling with the optimal formation problem in the three dimensional space. For one class of formation problem with the particular constraints, it is shown that the center of the desired shape is determined and equal to the center of the initial shape by utilizing the Lagrangian method. From the perspective of efficiency, the main task of the continuous-discrete PSO algorithm, short for CDPSO, is to search for some key parameters and to minimize the distance of all robots from the initial shape to the desired shape. To demonstrate the effectiveness of the new CDPSO algorithm, numerical results chiefly concentrate on the optimal helicopters formation from the initial shape to the desired shape in the three dimensional space and the typical shape conversion from the two-dimensional space to the three-dimensional space.

关键词： Optimal formation Robots Lagrangian method Continuous-Discrete PSO algorithm

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Social manufacture cloud mode in high-end apparel, footwear and hats

Social manufacture cloud mode in high-end apparel, footwear ...

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World Congress on intelligent control and Automation (WCICA)

作者： Xiuqing Shang Baoli Su Xiwei Liu Gang Xiong Zengbo You The State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China Dongguan Research Institute of CASIA Chinese Academy of Sciences Cloud Computing Center Dongguan Guangdong Province China Beijing Engineering Research Center of Intelligent Systems and Technology

This paper expounds the high-end apparel footwear and hats manufacture industry society mode of cloud services, achieve consumers actively participate in the high-end apparel, footwear and hats industry of mass customization services. Through social production theory and the combination of cloud computing services, use many kinds of 3D technology, new process technology of cooperative management, e-commerce, logistics and wisdom dynamic value chain analysis and so on the many kinds of technologies, constructed with size and cost of mass production, customization of new clothing, footwear and hats business model, and implements all participate in the design, all involved in manufacture, and everyone involved for “a new type of manufacture and service mode, will effectively drive the transformation and upgrading of industries, and bring new economic growth.

关键词： Business Collaboration Clothing Crowdsourcing Three-dimensional displays Computational modeling

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