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

作者： Jiachen Hou Gang Xiong Dong Fan Timo R. Nyberg State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Dongguan China Institute of Automation Chinese Academy of Sciences Beijing Beijing CN Dongguan Research Institute of CASIA Cloud Computing Center Chinese Academy of Sciences Dongguan China BIT Research Centre Aalto University Aalto Finland

With the fast development of Internet and data volume increase in Internet, Internet is playing more important role in information spreading in recent years. It is reported that social network is a typical complex network expressed with scale free degree. Emergency cases are happening more and more often in China and all over the world, the governments has realized that it is necessary to monitor and manage the information spreading on social network. In this paper, a new experiment platform frame, which is based on SPA (Spreading Activation) model and social centrality, is proposed to validate the information spreading speed in social network, to help the administration department to manage social network more efficiently.

关键词： Computational modeling Media Data models World Wide Web

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An overview of agent-based evacuation models for building fires

An overview of agent-based evacuation models for building fi...

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IEEE International Conference on Networking, Sensing and control

作者： Yuling Hu Xiwei Liu Feiyue Wang Changjian Cheng Beijing Key Laboratory of Automatic Control System School of Automation Beijing Institute of Technology. and School of Electric and Information Engineering Beijing University of Civil Engineering and Architecture China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences China

Agent-based evacuation modeling approach is gained more and more attention for investigating human cognitive capabilities and social behaviors in building fires. This paper mainly overviews the research about various agent-based evacuation models. For the decision-making reflects the intelligence of agent individual, we define three types of behavior decision-making models for agent individual based on the collected literatures and sum up the characteristics of each type. Aiming at crowd' important influence on evacuation processes, we also sum up two types of agent-based crowd modeling approaches to simulate crowd evacuation processes and give corresponding cases. Finally, after summing up the existing problems, the outlooks of the research from computational experiments point of view is proposed.

关键词： Computational modeling Fires Biological system modeling Buildings Decision making Humans Adaptation models

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The analysis of a scheduling strategy with energy balance for linear wireless sensor networks

The analysis of a scheduling strategy with energy balance fo...

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31st Chinese control Conference, CCC 2012

作者： Wang, Zhengjie Zhao, Xiaoguang Qian, Xu Shandong University of Science and Technology Qingdao 266590 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China Beijing 100083 China

ISBN: (纸本)9789881563811

Considering the linear wireless sensor network application scenarios, such as road, bridge, tunnel and metro where linear network and multi-hop traffic pattern make the energy consumption unbalanced. The nodes near the base station are required to forward the large amount of traffic for other nodes, which exhausts their energy and results in the failure of network monitoring. In order to solve this problem, a linear wireless sensor network and uniform deployment strategy are considered and an optimal scheduling strategy based on the nonlinear programming is presented. The constraint is formed by the energy model and the requirement of balanced energy consumption. The network lifetime can be extended by adjusting the proportion of traffic and the distance to next hop. The factors affecting the energy efficiency are analyzed and simulation is presented. Simulation results show that energy balance can be achieved by adjusting the communication distance and traffic and network lifetime can be extended. © 2012 Chinese Assoc of Automati.

关键词： Energy balance

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Reinforcement Learning control Based on Multi-Goal Representation Using Hierarchical Heuristic Dynamic Programming

Reinforcement Learning Control Based on Multi-Goal Represent...

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International Joint Conference on Neural Networks

作者： Zhen Ni Haibo He Dongbin Zhao Danil V. Prokhorov Department of Electrical Computer and Biomedical Engineering University of Rhode Island State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Toyota Research Institute NA TTC

ISBN: (纸本)9781467314886

We are interested in developing a multi-goal generator to provide detailed goal representations that help to improve the performance of the adaptive critic design (ACD). In this paper we propose a hierarchical structure of goal generator networks to cascade external reinforcement into more informative internal goal representations in the ACD. This is in contrast with previous designs in which the external reward signal is assigned to the critic network directly. The ACD control system performance is evaluated on the ball-and-beam balancing benchmark under noise-free and various noisy conditions. Simulation results in the form of a comparative study demonstrate effectiveness of our approach.

关键词： ACD gene Automatic Shutoff Devices noise-free critic hierarchical structure Noise learning (artificial intelligence) dynamic programming Generator dynamos Heuristics

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A design of artificial high-rise building evacuation systems under fires

A design of artificial high-rise building evacuation systems...

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2012 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2012

作者： Hu, Yu-Ling Liu, Xi-Wei School of Automation Beijing Institute of Technology Beijing 100081 China School of Electric and Information Engineering Beijing University of Civil Engineering and Architecture Beijing 100044 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China Dongguan Research Institute of CASIA Cloud Computing Center Chinese Academy of Sciences Songshan Lake Dongguan China

ISBN: (纸本)9781467324007

Because the structure and function of a high-rise building is complex and the density of occupants is high, and the rescue from outside is very difficult, safe and timely evacuation is an important issue under high-rise building fires. Worsely, it is impossible to do experiments for economic, moral, or even legal reasons. In this paper, based on an ACP (artificial systems, computational experiments, parallel excution) approach, a design of an artificial evacuation system for computational experiments research on societies evacuation strategies is proposed. Based on the buildingEXODUS platform, the agent technology is used to build the high-rise building architectures and occupant individuals who have autonomous activities. By using CFAST software, numerical calculation technology is used to build several kinds of fire scenarios. By interactions and influences, an artificial evacuation system can be built. © 2012 IEEE.

关键词： Fires

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A hierarchical neural network architecture for classification

A hierarchical neural network architecture for classificatio...

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9th International Symposium on Neural Networks, ISNN 2012

作者： Wang, Jing He, Haibo Cao, Yuan Xu, Jin Zhao, Dongbin Department of Electrical Computer and Biomedical Engineering University of Rhode Island Kingston RI 02881 United States MathWorks Inc. Natick MA 01760 United States Department of Electrical and Computer Engineering Stevens Institute of Technology Hoboken NJ 07030 United States State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)9783642313455

In this paper, a hierarchical neural network with cascading architecture is proposed and its application to classification is analyzed. This cascading architecture consists of multiple levels of neural network structure, in which the outputs of the hidden neurons in the higher hierarchical level are treated as an equivalent input data to the input neurons at the lower hierarchical level. The final predictive result is obtained through a modified weighted majority vote scheme. In this way, it is hoped that new patterns could be learned from hidden layers at each level and thus the combination result could significantly improve the learning performance of the whole system. In simulation, a comparison experiment is carried out among our approach and two popular ensemble learning approaches, bagging and AdaBoost. Various simulation results based on synthetic data and real data demonstrate this approach can improve the classification performance. © 2012 Springer-Verlag.

关键词： Adaptive boosting

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3D weld seam fitting based on interpolation-point cubic spline

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Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University 2012年第SUPPL. 1期46卷 97-99页

作者： Qi, Yu-Han Jing, Feng-Shui Tan, Min State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China

The discrete weld seam feature points acquired in the course of arc-welding robot's teaching can not be used to control robot's movement, while a continuous curve which describes weld seam's space position is suitable for guiding the welding process. So an interpolation-point cubic parametric spline method is proposed to fit a 3D weld seam. Weld seam feature points should be analysed in order to estimate the linearity of local weld seam, the value of interpolation points within nonlinear weld seam may be evaluated by quadratic function interpolation. Experiment result indicates that even if the feature points are sparse, the fitted curve may pass through all feature points precisely and there is no disturbance between adjacent feature points.

关键词： Interpolation

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Vision-based initial point location and seam tracking control

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Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University 2012年第SUPPL. 1期46卷 31-34页

作者： Fang, Zao-Jun Xu, De State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China

Initial point location and seam tracking are two main functions of intelligent welding robots. According to the features of the butt seams in container manufacture, this paper presents a novel initial point location using the geometric relationship between two seams. An image-based visual seam tracking control method is proposed, which is based on the target and current image features of the seams. The target image feature is corrected in the welding process to compensate the curve of the tracking rails. The experiments are well conducted to verify the effectiveness of the proposed methods. The new systems can be applied in the real welding tasks.

关键词： Robot applications

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Identifying Important Users in Sina Microblog

Identifying Important Users in Sina Microblog

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International Conference on Multimedia Information Networking and Security (MINES)

作者： Jiaqi Liu Zhidong Cao Kainan Cui Feng Xie State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Department of Automation Tsinghua University Tsinghua National Lab for Information Science and Technology Tsinghua University Beijing China

ISBN: (纸本)9781467330930

Important users are high-status vertices in social networks. They are everywhere in most fields of society and have big impact on those around them. Although a lot of effort has been made on identifying important users, the efficient methods still need to be developed, especially for the web users from Sina microblog, which is the most popular social networking sites in China and has unique characteristics. In this paper, a machine learning-based method which only uses several attributes on Naive Bayes Classifiers (NBC) and Back Propagation Neural Network (BPNN) was proposed to identify important users. Initial experiments indicate that our method is effective. The result of "high" category has more than 55% accuracy rate. We find the NBC can identify more important users while BPNN has higher accuracy rate. What's more, the numbers of follower and followings in Sina microblog is independent.

关键词： Social network services Training Neural networks Accuracy Security Learning systems Educational institutions

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Aided Decision-Making System of Public Transport management for Guangzhou Asian Games

Aided Decision-Making System of Public Transport Management ...

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World Congress on intelligent control and Automation (WCICA)

作者： X.-S. Dong Gang Xiong Dong Fan F.-H. Zhu Sheng Liu State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781467313971

For spectators and public transport demand during the 16th Asian Games and the first Asian Para Games held in Guangzhou in 2010, Aided Decision-Making System of Public Transportation management for Guangzhou Asian Games had been developed to support public transport management decision. It can help public transport managers to enhance the level of public transport management from experience-based formulation and manual implementation to scientific computation-based formulation and automatic implementation by intelligent systems, to guarantee the traffic demand effectively during the games, and to improve the management of public transportation significantly.

关键词： Games Transportation Automation Decision making intelligent control Laboratories control systems

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