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A Study of Destination Selection Model Based on Link Flows

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION systems 2013年第1期14卷 428-437页

作者： Ye, Peijun Wen, Ding Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Natl Univ Def & Technol Mil Computat Expt & Parallel Syst Res Ctr Changsha 410073 Hunan Peoples R China

Generating travel behavior based on artificial population and an activity plan is a conventional method for traffic simulation. As a complicated and important constituent of travel behavior, destination selection is a decision-making process for space transfer and has been studied extensively in the disaggregate model. However, existing selection models only focus on the psychology or custom of individuals from a microscopic perspective and rarely take account of the actual traffic state. This causes a large deviation in simulation results and thus results in some obstacles for application. In this paper, a new destination selection model based on link flows is proposed. Further, a searching algorithm for an observed link set is given, and compressed sensing is used in the model solution. Experiments demonstrate that this model can predict the actual traffic state in rush hours quite well. Therefore, it contributes to the credible simulation and computational experiments.

关键词： Destination selection link flow traffic simulation

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Identification of concurrent control chart patterns with singular spectrum analysis and learning vector quantization

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JOURNAL OF INTELLIGENT MANUFACTURING 2013年第6期24卷 1241-1252页

作者： Gu, Nong Cao, Zhiqiang Xie, Liangjun Creighton, Douglas Tan, Min Nahavandi, Saeid Deakin Univ Ctr Intelligent Syst Res Waurn Ponds Vic 3216 Australia Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Schlumberger Ltd Houston TX 77073 USA

Identification of unnatural control chart patterns (CCPs) from manufacturing process measurements is a critical task in quality control as these patterns indicate that the manufacturing process is out-of-control. Recently, there have been numerous efforts in developing pattern recognition and classification methods based on artificial neural network to automatically recognize unnatural patterns. Most of them assume that a single type of unnatural pattern exists in process data. Due to this restrictive assumption, severe performance degradations are observed in these methods when unnatural concurrent CCPs present in process data. To address this problem, this paper proposes a novel approach based on singular spectrum analysis (SSA) and learning vector quantization network to identify concurrent CCPs. The main advantage of the proposed method is that it can be applied to the identification of concurrent CCPs in univariate manufacturing processes. Moreover, there are no permutation and scaling ambiguities in the CCPs recovered by the SSA. These desirable features make the proposed algorithm an attractive alternative for the identification of concurrent CCPs. Computer simulations and a real application for aluminium smelting processes confirm the superior performance of proposed algorithm for sets of typical concurrent CCPs.

关键词： control charts Concurrent patterns Singular spectrum analysis Learning vector quantization networks Aluminium smelting

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An object grasping method based on fuzzy approaching for a mobile manipulator

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Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition) 2013年第SUPPL.I期41卷 47-50页

作者： Jiao, Jile Cao, Zhiqiang Zhao, Peng Tan, Min State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China

An object grasping method based on fuzzy approaching for a mobile manipulator with an Eye-in-Hand CMOS (complementary metal-oxide-semiconductor transistor) camera was proposed. The approaching guidance identifier with double cross was recognized by the mobile manipulator, and the angle between the line from mobile platform to the center of the identifier and its heading direction were served as the inputs of fuzzy controller. A double input and single output fuzzy controller was designed to regulate the direction of the mobile platform for smooth approaching. When the object (a red cylinder with double black lines) was in the workspace of manipulator, the mobile platform stops and the object was grasped by the manipulator with its joint angles solved based on inverse kinematics. Experiments results show the validity of the proposed approach.

关键词： Manipulators

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A motion control for mobile robot based on sub-regions evaluation in local sensing environment

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Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition) 2013年第SUPPL.I期41卷 38-41页

作者： Yuan, Wenbo Cao, Zhiqiang Liu, Xilong Tan, Min State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China

A motion control method for mobile robot based on sub-regions evaluation in local sensing environment was proposed. Firstly, the local environment was divided into multiple sub-regions based on the sensing information provided by laser range finder. Then, each sub-region was evaluated by considering the distance influence factor, as well as visual guide and memory-based judgment. Finally, the optimal sub-region adapted to current environment will be used for motion decision of mobile robot. Experimental results show that the proposed method is capable of dividing sensing environment into multiple sub-regions and producing the optimal sub-region adapted to current environment. Motion control for robot was realized and the effectiveness of the proposed method was verified.

关键词： Mobile robots

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ADRC based yaw control of a robotic fish with two long fins

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Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition) 2013年第SUPPL.I期41卷 335-338页

作者： Wei, Qingping Wang, Shuo Tan, Min Zhou, Chao The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Science Beijing 100190 China

A robotic fish propelling itself by two long fins was designed and implemented from the inspiration of stingrays. The yaw control of this robotic fish was studied. The dynamic model was studied based on the stress analysis of the robotic fish. A yaw controller was designed based on the active disturbance rejection control (ADRC) technique. The model error and external disturbance were unified into a total system disturbance, which was estimated by an extended state observer. By compensating the total system disturbance in the control signal, the yaw control system was simplified to a typical second order cascade integral system which could be easily controlled by use of a more effective nonlinear feedback control. The ADRC based yaw controller was verified through simulations showing that the designed controller can effectively control the yaw angle of the robotic fish and has good dynamic and static characteristics.

关键词： controllers

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Modeling plant plasticity from a biophysical model: Biomechanics

Modeling plant plasticity from a biophysical model: Biomecha...

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12th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry, VRCAI 2013

作者： Wang, H.Y. Kang, M.Z. Hua, J. Wang, X.J. State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences China National Laboratory for Pattern Recognition Institute of Automation Chinese Academy of Sciences China

ISBN: (纸本)9781450325905

A mechanical effect is one of the important reasons for plant diversity, whose phenotype is crooked branch. Parametric curve equation, or skeleton extraction from image or video, or interactive design is often used to simulate branch bending. These methods generally could not dynamically demonstrate the process of deformation caused by stress. Moreover, they seldom consider biophysical behaviors. In this paper, we integrated Bio-mechanical Model with Functional Structural Plant Model (FSPM), specifically Greenlab model, both of which are biologically-based methods. The combined model is able to simulate the morphological changes of dynamically developing plants constrained by external loads, such as gravity and wind. It could also mimic tropism, which is associated with maturation strains of reaction wood. Feedback between FSPM and Bio-mechanical Model is constructed by linking the bud break strategy to the architecture. Using the models based on the botanical and biological knowledge, we could generate plausible plants in accordance with reality. Meanwhile this study lays a good foundation for studying the optimization of plant's growth behaviors when considering biomechanics. © 2013 ACM.

关键词： Biomechanics

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Coupled latent least squares regression for heterogeneous face recognition

Coupled latent least squares regression for heterogeneous fa...

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2013 20th IEEE International Conference on Image Processing, ICIP 2013

作者： Xinyuan, Cai Chunheng, Wang Baihua, Xiao Xue, Chen Zhijian, Lv Yanqin, Shi State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China Beijing Institute of Science and Technology Information Beijing 100044 China

ISBN: (纸本)9781479923410

One of the most difficult challenges in automatic face recognition is computing facial similarity between two images captured in different modalities, called heterogeneous face recognition. In this paper, we propose a novel method, named as coupled latent least squares regression, to improve the heterogeneous face recognition performance. The basic assumption is that the images of one person captured in different modalities can be viewed as modality-specific transforms of a latent ideal object. We formulate this assumption in the least squares regression framework, so as to learn the coupled transforms for different modalities. In particular, the local consistency information in the each modality is considered as a constraint to improve the generalization. Extensive experiments on two cases of heterogeneous face recognition (visible light vs. near infrared, and photo vs. sketch) validate the efficiency of the proposed method. © 2013 IEEE.

关键词： Face recognition

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Emergency management of Urban Rail Transportation Based on Parallel systems

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IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION systems 2013年第2期14卷 627-636页

作者： Dong, Hairong Ning, Bin Chen, Yao Sun, Xubin Wen, Ding Hu, Yuling Ouyang, Renhai Beijing Jiaotong Univ State Key Lab Rail Traff Control & Safety Beijing 100044 Peoples R China Beijing Jiaotong Univ Sch Elect & Informat Engn Beijing 100044 Peoples R China Natl Univ Def Technol Res Ctr Computat Expt & Parallel Syst Changsha 410073 Hunan Peoples R China Chinese Acad Sci State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China

Integrating artificial systems, computational experiments, and parallel execution (ACP) is an effective approach to modeling, simulating, and intervening real complex systems. Emergency response is an important issue in the operation of urban rail transport systems for ensuring the safety of people and property. Inspired by the ACP method, this paper introduces a basic framework of parallel control and management (PCM) for emergency response of urban rail transportation systems. The proposed framework is elaborated from three interdependent aspects: Points, Lines, and Networks. Points represent the modeling of urban rail stations, Lines describe the microscopic characteristics of urban rail connections between designated stations, and Networks present the macroscopic properties of all the urban rail connections. Based on the given framework, a series of parallel experiments, which were impossible to achieve in real systems, can now be conducted in the constructed artificial system. Furthermore, the constructed artificial system can be used to test and develop effective emergency control and management strategies for real rail transport systems. Therefore, this proposed framework will be able to enhance the reliability, security, robustness, and maneuverability of urban rail transport systems in case of an emergency.

关键词： ACP method emergency response parallel control and management (PCM) urban rail transport

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University in the Innovation System Academia-Industry Collaborations and Intellectual Property Rights

University in the Innovation System Academia-Industry Collab...

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

作者： Jin, Helena Xiong, Gang Aalto Univ Sch Sci Dept Ind Engn & Management Espoo 02150 Finland Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China

ISBN: (纸本)9781479905300;9781479905294

In a world where possessing raw materials or manufacturing commodities are not sufficient for long-term economic success, innovativeness and a knowledge-based economy form the basis for prosperity. In this report, we discuss the link between a nation's higher education system and its ability to bring about and foster innovativeness and economic growth. In particular, we will concentrate on the roles that universities play in the national innovation system. Some of the questions we address include: How strong a link is there between the education system and nation's innovativeness? How important is industry-academia collaboration? From the perspective of a knowledge-based economy, what would an ideal university be like? To answer these questions, we summarize key findings from the literature. The aim of this report is to present the key factors and decisions that should be considered in future higher education strategies.

关键词： higher education university marketization innovation system industry-academia collaboration Intellectual Property Rights

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A Spatio-Temporal Multivariate Adaptive Regression Splines Approach for Short-Term Freeway Traffic Volume Prediction

A Spatio-Temporal Multivariate Adaptive Regression Splines A...

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16th International IEEE Conference on Intelligent Transportation systems (ITSC)

作者： Xu, Yanyan Kong, Qing-Jie Liu, Yuncai Shanghai Jiao Tong Univ Dept Automat Key Lab Syst Control & Informat Proc Minist Educ Shanghai 200240 Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China

ISBN: (纸本)9781479929146

Current freeway traffic flow prediction techniques pay attention to time series prediction or introduce the upstream adjacent road segments in the short-term prediction model. In this paper, all of the road segments on the freeway are considered as candidates of the independent variables fed into the prediction model. A spatio-temporal multivariate adaptive regression splines (MARS) approach is proposed for the road network analysis and to predict the short-term traffic volume at the observation stations on the freeway. The actual traffic data are collected from a series of observation stations along a freeway in Portland every 15 minutes. In the first phase, the macroscopic dependency relationships of the stations on the freeway are investigated via MARS method. Subsequently the stations most related to the object station are selected and fed into the MARS prediction model to generate the short-term volume. The experiments are carried out on the actual traffic data and the results indicate that the proposed spatio-temporal MARS model can generate superior prediction accuracy in contrast with the historical data based MARS model, the parametric ARIMA, and the nonparametric PPR methods.

关键词： Forecasting

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