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15th International IEEE Conference on Intelligent Transportation systems (ITSC)

作者： Chen, Cheng Ai, Yunfeng Zhu, Fenghua Chinese Acad Sci State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Chinese Acad Sci Grad Univ Coll Comp & Commun Engn Beijing 100049 Peoples R China Chinese Acad Sci Dongguan Res Inst CASIA Cloud Comp Ind Technol Innovat & Incubat Ctr Songshan Lake Dongguan 523808 Peoples R China

ISBN: (纸本)9781467330633

Network Zoning is a key problem for the coordination in hierarchical control system. In traffic control area, considering the characteristics of road network, like directed and spatial property, we give one appropriate method for network zoning. Inheriting the advantages of several community detection methods, this method takes the distance between intersections and the scale of intersection into account simultaneously. And we also applied it to the parallel transportation management systems (PtMS) in Tianhe area of Guangzhou for network zoning. The results of experiments illustrate its effectiveness.

关键词： urban traffic control system zoning Zone Ran Traffic control hierarchical control system Intersection road network Mentoring Network

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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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Service Oriented Resource Configuration Estimation and Optimization in Cloud Computing - an Artificial Enterprise Method

Service Oriented Resource Configuration Estimation and Optim...

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10th World Congress on Intelligent control and Automation (WCICA)

作者： Liu, Sheng Zhu, Fenghua Zhao, Hongxia Yao, Jianshi Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing Peoples R China Chinese Peoples Liberat Army Unit 6154l Beijing Peoples R China

ISBN: (纸本)9781467313988

At present service oriented resource configuration analysis and optimization research only takes computing resources into account. It fails to meet the requirement that enterprise run optimally in cloud manufacturing and SOE. This paper analyzes the relation between enterprise services and computing/manufacturing resources. Then the artificial enterprise model is built. Then various resource configuration schemes are loaded in it and the computational experiments are done to run these schemes. By comparing the experiment results the optimal scheme is obtained for the enterprise. Thus the demand of the enterprise is satisfied.

关键词： Resource Configuration optimization Artificial Enterprise computational experiment Service Oriented Enterprise Cloud Manufacturing

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Research on Robot Motion control Based on Local Weighted kNN-TD Reinforcement Learning

Research on Robot Motion Control Based on Local Weighted kNN...

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10th World Congress on Intelligent control and Automation (WCICA)

作者： Han, Fei Jin, Lu Yang, Yuequan Cao, Zhiqiang Zhang, Tianping Yangzhou Univ Coll Informat Engn Yangzhou 225009 Jiangsu Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China

ISBN: (纸本)9781467313988

Learning is an important capability for an individual robot, which provides an effective way for understanding, planning, and decision-making in a complex environment. For robot motion control, a local weighted k-nearest neighbors states selection method based on environment information and task information is presented. Based on this method, TD reinforcement learning algorithm is combined to reduce the misclassified probability of kNN-TD method, which is finally verified by the simulations.

关键词： k-nearest neighbors reinforcement learning motion control

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A new B2B platform based on cloud computing

A new B2B platform based on cloud computing

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

作者： Xiong, Gang Hou, Jiachen Dong, Xisong Nyberg, Timo R. 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 523808 China Jiang Su China Sciences Intelligent Engineering Co. Ltd. Enterprise Academician Workstation 215000 China BIT Research Centre Aalto University Finland

ISBN: (纸本)9781467324007

With the fast development of Internet and its data scale, B2B (Business to Business), whose speed and high availability advantage is based on Internet, is eroding more and more market share of traditional business. In recent years, the new data processing technologies, such as cloud computing, assure the enhancement of computer's computing capacity;it has become possible for researchers to process and analyze the massive business data, including large scale customer data, and large scale commodity information. A new B2B platform frame, based on cloud computing with less running time and better response efficiency, is proposed here to promote transaction handle efficiency. By adoption of complex network theory and cloud computing technology, the new platform has been evaluated to decrease transaction handle time, and make more benefits. © 2012 IEEE.

关键词： complex networks

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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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Modeling and analysis of information dissemination mechanism of social media

Modeling and analysis of information dissemination mechanism...

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

作者： Hou, Jiachen Xiong, Gang Fan, Dong Nyberg, Timo R. Dongguan Research Institute of CASIA Cloud Computing Center Chinese Academy of Sciences Songshan Lake Dongguan 523808 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China Jiang Su China Sciences Intelligent Engineering Co. Ltd. Enterprise Academician Workstation 215000 China BIT Research Centre Aalto University Aalto Finland

ISBN: (纸本)9781467324007

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. © 2012 IEEE.

关键词： Information dissemination

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A GPU-Based Parallel Genetic Algorithm for Generating Daily Activity Plans

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IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION systems 2012年第3期13卷 1474-1480页

作者： Wang, Kai Shen, Zhen Natl Univ Def Technol Coll Mechatron Engn & Automat Ctr Mil Computat Expt & Parallel Syst Technol Changsha 410073 Hunan Province Peoples R China Chinese Acad Sci Inst Automat Beijing Engn Res Ctr Intelligent Syst & Technol State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Chinese Acad Sci Cloud Comp Ctr Dongguan Res Inst CASIA Dongguan 523808 Guangdong Peoples R China

As computing technologies develop, there is a trend in traffic simulation research in which the focus is moving from macro- and meso-simulation to micro-simulation since microsimulation can provide more detailed quantitative results. Moreover, the success of the Artificial societies-Computational experiments-Parallel execution (ACP) approach indicates that integrating other metropolitan systems such as logistic, infrastructure, legal and regulatory, and weather and environmental systems to build an Artificial Transportation System (ATS) can be helpful in solving Intelligent Transportation systems (ITS) problems. However, the computational burden is very heavy as there are many agents interacting in parallel in the ATS. Therefore, a parallel computing tool is desirable. We think that we can employ a Graphics Processing Unit (GPU), which has been applied in many areas. In this paper, we use a GPU-adapted Parallel Genetic Algorithm (PGA) to solve the problem of generating daily activity plans for individual and household agents in the ATS, which is important as the activity plans determine the traffic demand in the ATS. Previous research has shown that GA is effective but that the computational burden is heavy. We extend the work to GPU and test our method on an NVIDIA Tesla C2050 GPU for two scenarios of generating plans for 1000 individual agents and 1000 three-person household agents. Speedup factors of 23 and 32 are obtained compared with implementations on a mainstream CPU.

关键词： Artificial societies-Computational experiments-Parallel execution (ACP) artificial transportation system (ATS) compute unified device architecture (CUDA) daily activity plan genetic algorithm (GA) graphics processing unit (GPU) microsimulation

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Research on SVM and FLDA in classification with comparative experiments

Research on SVM and FLDA in classification with comparative ...

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IEEE International Conference on Networking, Sensing and control

作者： Yegan Qian Gang Xiong Yanjie Yao Anhui Radio TV Station Hefei Hanteng Information Tech Company Hefei Anhui China State Key Laboratory of Management and Control for Complex Systems Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences Beijing China

The paper discusses two important classification techniques, Fisher's linear discriminated analysis (FLDA) and Support Vector Machine (SVM). First, we propose a theoretical discussion, and then implement FLDA and SVM on several datasets of two classes and multiclass, a comparative experimental analysis among these two techniques aims at exploring and assessing the performance of FLDA and SVM classifiers. To sustain such analysis, the two classification techniques are compared with different training data sets and testing data sets. Different performance indicators have been used to support our experimental studies in a detailed and accurate way such as the classification accuracy. The results obtained on different datasets conclude that FLDA and SVM are valid and effective approaches for pattern classification and conclude their different performance and problems with different size datasets. Meanwhile, the paper employs a non-traditional method to get the training and testing data set, and concludes detailed pros and cons from the experiment results.

关键词： Support vector machines Training Testing Accuracy Vectors Head Magnetic heads

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