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A Social Choice Force Model for Estimating Collective Action Manipulation

IFAC Proceedings Volumes 2014年第3期47卷 9847-9852页

作者： Jie Zhang Shuai Zeng Wenli Liu Tao Wang Fei-Yue Wang C. L. Philip Chen The State Key Lab of Management and Control for Complex Systems CASIA Beijing 100190 China National University of Defense Technology Hunan 410073 China University of Macau Macau China

For e-commerce websites collective actions have significant influence on the behaviors and decisions of individual customers. In this work, we propose a dynamic utility model for customers in e-commerce by considering a “social choice force” (SCF) effect on utility functions of agents. We apply the Artificial societies, Computational experiments, and Parallel execution (ACP) approach to investigate the short-term efforts of collective action manipulation. Experimental results show that the proposed agent model and algorithm outperform the baseline prediction algorithm and illustrate the effect of collective action manipulation in a group buying directory website.

关键词： Cyber Space Collective Actions E-Commerce Agent Modeling Manipulation Neural Networks

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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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An analysis of Beijing HFMD patients mobility pattern during seeking treatment

An analysis of Beijing HFMD patients mobility pattern during...

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2013 International Conference for Smart Health, ICSH 2013

作者： Zhu, Zhaonan Cao, Zhidong Zeng, Daniel Dajun State Key Lab. of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9783642398438

Previous epidemiological researches have studied HFMD transmission pattern, but the study on the patients mobility pattern while seeking treatment is absent. In this paper, we present a statistical analysis of the spatialtemporal pattern of the Beijing HFMD patients mobility based on a complete works dataset containing over 40,000 cases in 2010. The main findings are as follows: (1) the patents incline to take their sick children to hospitals on weekdays, especially on Monday;(2) the patients living far from city center are more likely to get to hospitals in the afternoon, while the patients in the downtown in the morning;(3) patients (or their parents) either select the nearby hospitals, or the Class-A hospitals in the downtown. Furthermore, we employ a gravity model to describe the spatial mobility pattern of patients. The experiment results show a good fit. © 2013 Springer-Verlag.

关键词： Hospitals

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Using Web data to enhance traffic situation awareness

Using Web data to enhance traffic situation awareness

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International Conference on Intelligent Transportation

作者： Xiao Wang Ke Zeng Xue-Liang Zhao Fei-Yue Wang Qingdao Academy of Intelligent Industries Chinese Academy of Sciences Beijing Shandong China School of electronic and information engineering Xi'an Jiaotong University Xi'an China The State Key Lab of Management and Control for Complex Systems Institute of Automation Beijing China

ISBN: (纸本)9781479960798

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 flows. In 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.

关键词： Media Transportation Real-time systems Data mining Message systems Monitoring

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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Antwerp, Belgium. 15-20 July 2017 Abstracts

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 95-176页

作者： [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ

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Event-Triggered Reinforcement Learning Approach for Unknown Nonlinear Continuous-Time System

Event-Triggered Reinforcement Learning Approach for Unknown ...

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International Joint Conference on Neural Networks

作者： Xiangnan Zhong Zhen Ni Haibo He Xin Xu Dongbin Zhao Department of Electrical Computer and Biomedical Engineering University of Rhode Island Kingston USA College of Mechatronics and Automation National University of Defense Technology Changsha China State Key Lab of Management and Control for Complex Systems Chinese Academy of Sciences Beijing P. R. China

This paper provides an adaptive event-triggered method using adaptive dynamic programming (ADP) for the nonlinear continuous-time system. Comparing to the traditional method with fixed sampling period, the event-triggered method samples the state only when an event is triggered and therefore the computational cost is reduced. We demonstrate the theoretical analysis on the stability of the event-triggered method, and integrate it with the ADP approach. The system dynamics are assumed unknown. The corresponding ADP algorithm is given and the neural network techniques are applied to implement this method. The simulation results verify the theoretical analysis and justify the efficiency of the proposed event-triggered technique using the ADP approach.

关键词： Equations Neural networks Stability analysis Performance analysis Approximation algorithms Approximation methods Heuristic algorithms

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Online routing of two vehicles to an emergency scene in grid transportation network

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Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice 2013年第1期33卷 175-180页

作者： Xu, Yin-Feng Zhang, Hui-Li Yu, Hai-Yan Zhang, Wen-Ming School of Management Xi'an Jiaotong University Xi'an 710049 China Ministry of Education Key Lab. for Process Control and Efficiency Engineering Xi'an Jiaotong University Xi'an 710049 China State Key Lab. for Manufacturing Systems Engineering Xi'an 710049 China

The online routing problem of two vehicles to an emergency scene is considered. In grid transportation network, some of the edges may be suddenly blocked and the blockage will not be observed until reaching an endpoint of the blocked edge. The goal is to minimize the arrival time of the first vehicle with at most k blockages. An online strategy named Row-first and Line-first is presented and the competitive ratio is analyzed, and the ratio is proved to be tight. The optimization of the online strategy in some situations is also proved.

关键词： Vehicles

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Target Tracking of Robotic Fish Based on Embedded Vision and CPG Model

Target Tracking of Robotic Fish Based on Embedded Vision and...

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IEEE International Conference on Information and Automation

作者： Feihu Sun Junzhi Yu De Xu Ming Wang The State Key Lab of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China School of Information and Electrical Engineering Shandong Jianzhu University Jinan 250101 China

ISBN: (纸本)9781479913329

There has been greatly increased interest in using embedded vision for aquatic environments. This paper presents a robust target tracking method for a free-swimming biomimetic robotic fish by means of embedded vision and central pattern generator (CPG)-based motion control. Specifically, an algorithm called automatic continuous adaptive mean shift (Auto-CAMSHIFT) is firstly proposed to obtain the position and size of the interested target. Then a fuzzy logic controller is developed to generate the control input closely related to the desired target. A CPG controller that is robust against small and unexpected disturbance, at the same time, is employed to produce coordinated signals for multiple moving joints of the robotic fish. Finally, aquatic testing results verify the effectiveness of the proposed methods and show a satisfactory performance.

关键词： Embedded vision Central Pattern Generator (CPG) fuzzy logic control robotic fish

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Tuning of PID controller based on fruit fly optimization algorithm

Tuning of PID controller based on fruit fly optimization alg...

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2012 9th IEEE International Conference on Mechatronics and Automation, ICMA 2012

作者： Han, Jiuqi Wang, Peng Yang, Xin Research Center of Precision Sensing and Control Institute of Automation Chinese Academy of Sciences Beijing 100190 China State Key Lab. of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)9781467312776

The Proportional - Integral - Derivative (PID) controllers are one of the most popular controllers used in industry because of their remarkable effectiveness, simplicity of implementation and broad applicability. PID tuning is the key issue in the design of PID controllers and most of the tuning processes are implemented manually resulting in difficulty and time consuming. To enhance the capabilities of traditional PID parameters tuning techniques, modern heuristics approaches, such as Genetic Algorithm (GA) and Particle Swarm Optimization (PSO), are employed recent years. In this paper, a novel tuning method based on Fruit Fly Optimization Algorithm (FOA) is proposed to optimize PID controller parameters. Each fruit fly's position represents a candidate solution for PID parameters. When the fruit fly swarm flies towards one location, it is treated as the evolution of each iterative swarm. After hundreds of iteration, the tuning results - the best PID controller parameters can be obtained. The main advantages of the proposed method include ease of implementation, stable convergence characteristic, large searching range, ease of transformation of such concept into program code and ease of understanding. Simulation results demonstrate that the FOA-Based optimized PID (FOA - PID) controller is with the capability of providing satisfactory closed - loop performance. © 2012 IEEE.

关键词： Three term control systems

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An embedded co-AdaBoost and its application in classification of software document relation

An embedded co-AdaBoost and its application in classificatio...

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2012 8th International Conference on Semantics, Knowledge and Grids, SKG 2012

作者： Liu, Jin Li, Juan Xie, Yuan Lei, Jeff Hu, Qiping State Key Lab. of Software Engineering Computer School Wuhan University China State Key Lab. of Intelligent Control and Management of Complex Systems Institute of Automation CAS China Department of Computer Science and Engineering University of Texas Arlington TX United States International School of Software Wuhan University China

ISBN: (纸本)9780769547947

To enhance classification performance by making use of easily availab.e unlab.lled data to overcome the scarcity of lab.lled data, this paper proposes an Embedded Co-Adaboost algorithm that integrates multi-view learning into the Adaboost learning framework and at the same time leverages the advantages of Co-training algorithm for performance enhancement. Experimental results demonstrate the effectiveness of the proposed algorithm in terms of the convergence rate, the accuracy, and the steady performance as compared to the original AdaBoost algorithm, without relying on redundant and sufficient feature sets. As a algorithm application in software engineering, the Embedded Co-AdaBoost has been applied to the classification of software document relations to improve the quality of the architecture design documents and the reusability of design knowledge. © 2012 IEEE.

关键词： Reusability

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