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

作者： Ji-quan Shen Qing-jie Kong The School of Computer Science and Technology Henan Polytechnic University Jiaozuo Henan China State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781479960590

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 accuracy. This paper introduces the discrete-time queuing model to analyze the traffic flow at the signalized intersection and gives the evaluation conditions of the traffic state. Then, the evaluation conditions are applied to judge the traffic state based on the prediction data of traffic flows from the grey model. Experiments show the method is effective and feasible.

关键词： Computational modeling Analytical models Educational institutions Personnel Predictive models

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Interventions of traffic flow for intersection based on interval type-2 fuzzy sets

Interventions of traffic flow for intersection based on inte...

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International Conference on Informative and Cybernetics for Computational Social systems (ICCSS)

作者： Xuan Li Hong Mo FengHua Zhu College Of Electrical And Information Engineering Changsha University Of Science And Technology Changsha China State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781479947515

Assessment and analysis of the intersection status can help to make the right choice of interventions, it's can bring convenience to solve the traffic congestion. In this paper, interval type-2 fuzzy sets is applied in the analysis of the intersection state and congestion intervention, dynamic fuzzy comprehensive evaluation and footprint of uncertainty are used to assess the intersection condition. Combined with the example of intersection congestion, through corresponding intervention measures to improve the intersections crowded conditions. Thus the linguistic dynamic orbits of road status figured out.

关键词： Fuzzy sets Pragmatics Extraterrestrial measurements Manganese Orbits Uncertainty Vehicle dynamics

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The identifier-based relative position estimation for leader-follower robotic system

The identifier-based relative position estimation for leader...

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IEEE International Conference on Mechatronics and Automation

作者： Lingyi Xu Zhiqiang Cao Peng Zhao Yixin Yin State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing China

ISBN: (纸本)9781479939800

A monocular vision measurement approach is presented for leader-follower robotic system to estimate the position of the leader robot relative to the follower robot. The color identifier with green and red blocks is attached on the back of the leader robot, and it may be captured by the camera mounted on the follower robot. A coarse-to-fine searching method is given to extract the center point of the identifier. The parameters of the camera with the combination of the intrinsic and extrinsic ones are calibrated via least square method with given relative positions and the corresponding image coordinates of the identifier's center. The parameters are further optimized with Levenberg-Marquardt method. Then the position of the leader robot relative to the follower robot can be estimated only with single feature point. The experimental results verify the validity of the given approach.

关键词： Robot kinematics Cameras Feature extraction Robot vision systems Position measurement Image color analysis

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Time Critical Disinformation Influence Minimization in Online Social Networks

Time Critical Disinformation Influence Minimization in Onlin...

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IEEE Joint Intelligence and Security Informatics Conference (JISIC)

作者： Chuan Luo Kainan Cui Xiaolong Zheng Daniel Zeng State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China The School of Electronic and Information Engineering Xi'an Jiaotong University Xi'an China Department of Management Information Systems University of Arizona Tucson USA

If a piece of disinformation released from a terrorist organization propagates on Twitter and this adversarial campaign is detected after a while, how emergence responders can wisely choose a set of source users to start the counter campaign to minimize the disruptive influence of disinformation in a short time? This practical problem is challenging and critical for authorities to make online social networks a more trustworthy source of information. In this work, we propose to study the time critical disinformation influence minimization problem in online social networks based on a continuous-time multiple campaign diffusion model. We show that the complexity of this optimization problem is NP-hard and provide a provable guaranteed approximation algorithm for this problem by proving several critical properties of the objective function. Experimental results on a sample of real online social network show that the proposed approximation algorithm outperforms various heuristics and the transmission temporal dynamics knowledge is vital for selecting the counter campaign source users, especially when the time window is small.

关键词： Radiation detectors Social network services Greedy algorithms Optimization Linear programming Information processing Minimization

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Behavior modeling of internet water army in online forums 19

Behavior modeling of internet water army in online forums

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19th IFAC World Congress on International Federation of Automatic control, IFAC 2014

作者： Zeng, Ke Wang, Xiao Zhang, Qingpeng Zhang, Xinzhan Wang, Fei-Yue School of Electronic and Information Engineering Xi'an Jiaotong University Xi'an710049 China State Key Laboratory of Management and Control of Complex Systems Institute of Automation Chinese Academy of Science Beijing100190 China Tetherless World Constellation Rensselaer Polytechnic Institute TroyNY12180 United States Software Engineering Xi'an Jiaotong University Xi'an710049 China

ISBN: (纸本)9783902823625

The behavior patterns and strategies of Internet Water Army in online forums are investigated in this paper. Internet Water Army focuses on the controlling and steering of cyber collective opinions, and adjusts their behavior according to two principles: to avoid being exposed and to increase the ability to exert influence. To study how the ability of Internet Water Army to exert influence, we construct a multi-agent system with coevolution of topics and cyber collective behaviors and design the behavior patterns and strategies of Internet Water Army. Based on synthetic data and real data, we find that Internet Water Army dynamically adjusts their behavior strategy to maximize their influence and the effectiveness of strategy of Internet Water Army is closely related to the features of the users. Our work sheds insight on the design of viral marketing mechanism in e-commerce systems as well as on guiding collective behaviors in social media. © IFAC.

关键词： Social networking (online)

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An high-efficient online reinforcement learning algorithm for continuous-state systems

An high-efficient online reinforcement learning algorithm fo...

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World Congress on intelligent control and Automation (WCICA)

作者： Yuanheng Zhu Dongbin Zhao Haibo He The State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China Department of Electrical Computer and Biomedical Engineering University of Rhode Island Kingston RI USA

In this paper, we consider continuous-state systems and pursue a near-optimal policy through online learning. A new online reinforcement learning algorithm-MSEC (Multi-Samples in Each Cell) is proposed. The proposed algorithm combines state aggregation technique and efficient exploration principle, making high utilization of samples observed online. More concretely, we apply a grid over the continuous state space and partition it into different cells. Then, a near-upper Q iteration operator is defined to use samples in each cell and produce a near-upper Q function, whose corresponding greedy policy is efficient for exploration. MSEC is a totally model-free algorithm, which means no system dynamics is required during the implementation. It collects the system knowledge during the online learning. Based on PAC (Probability Approximately Correct) principle, MSCE can find a near-optimal policy in finite time bound online. To test the performance, an inverted pendulum is simulated and the results show the new algorithm is qualified for solving online optimal control problems.

关键词： Algorithm design and analysis Heuristic algorithms Partitioning algorithms Learning (artificial intelligence) Approximation algorithms Polynomials Upper bound

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Approximation-error-ADP-based optimal tracking control for chaotic systems with convergence proof

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Chinese Physics B 2013年第9期22卷 305-311页

作者：宋睿卓肖文栋孙长银魏庆来 School of Automation and Electrical Engineering University of Science and Technology Beijing The State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences

In this paper, an optimal tracking control scheme is proposed for a class of discrete-time chaotic systems using the approximation-error-based adaptive dynamic programming （ADP） algorithm. Via the system transformation, the optimal tracking problem is transformed into an optimal regulation problem, and then the novel optimal tracking control method is proposed. It is shown that for the iterative ADP algorithm with finite approximation error, the iterative performance index functions can converge to a finite neighborhood of the greatest lower bound of all performance index functions under some convergence conditions. Two examples are given to demonstrate the validity of the proposed optimal tracking control scheme for chaotic systems.

关键词： chaotic systems approximation error adaptive dynamic programming optimal tracking control

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EEG-based classification of upper-limb ADL using SNN for active robotic rehabilitation

EEG-based classification of upper-limb ADL using SNN for act...

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IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob)

作者： Jin Hu Zeng-Guang Hou Yi-Xiong Chen Nikola Kasabov Nathan Scott State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China Knowledge Engineering and Discovery Research Institute Auckland University of Technology Auckland New Zealand

Repetitive activities of daily living (ADL) and robotic active training are commonly practised in the rehabilitation of paralyzed patients, both of which have been proven rather effective to recover the locomotor function of impaired limbs. ADL classification based on electroencephalogram (EEG) is of great significance to perform active robotic rehabilitation for patients with complete spinal cord injury (SCI) who lose locomotion of affected limbs absolutely, where surface electromyography (sEMG) or active force signal can hardly be detected. It is a challenge to achieve a satisfying result in neuro-rehabilitation robotics using EEG signals due to the high randomness of the EEG data. A classification method is proposed based on spiking neural networks (SNN) to identify the upper-limb ADL of three classes with 14-channel EEG data. The continuous real-number signals are firstly encoded into spike trains through Ben's Spike Algorithm (BSA). The generated spikes are then submitted into a 3-D brain-mapped SNN reservoir called NeuCube trained by Spike Timing Dependant Plasticity (STDP). Spike trains from all neurons of the trained reservoir are finally classified using one version of dynamic evolving spiking neuron networks (deSNN) - deSNNs. Classifications are presented with and without NeuCube respectively on the same EEG data set. Results indicate that using the reservoir improves identification accuracy which turns out pretty promising despite that EEG data is highly noisy, low frequently sampled, and only from 14 channels. The classification technique reveals a great potential for the further implementation of active robotic rehabilitation to the sufferers of complete SCI.

关键词： Neurons Electroencephalography Training Robot kinematics Encoding Reservoirs

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Quality Risk management Model for Railway Construction Projects

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Procedia Engineering 2014年 84卷 195-203页

作者： Li Qing Liu Rengkui Zhang Jun Sun Quanxin State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing 100044 China Shanghai Railway Bureau Construction Management Department Shanghai 200071 China MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology Beijing Jiaotong University Beijing 100044 China

Information technology has significant potential to enhance the engineering quality of the risk management of railway construction projects. The Shanghai Railway Bureau has promoted a risk management method based on the “A Figure and Four Tables” method (AFFTM) to assess the engineering quality; however, this method still suffers from several problems in railway construction project management. In this paper, we have combined the concepts and processes of the AFFTM with those of information technology and presented the implementation scheme of a new risk management system—the railway construction project quality risk management information system (RCPQRMIS)—that can be used to design and develop workable information tools for quality risk management. The paper analyzes the data standards of RCPQRMIS and creates a model for dynamically tracking the quality risk (“quality risk dynamic tracking” model) for providing pre-warning information on quality risk (“quality risk pre-warning” model) and for automatically generating publicity parameters for quality risk (“automatically generated quality risk publicity figure” model). The proposed system enables the visualization of the quality associated with the risk control, dynamic tracking, automatic pre-warning, and closed-loop management of railway construction projects. In addition, this paper presents the functional modules of the RCPQRMIS and its practical applications. Our application results show that the system successfully realized unified management of risk source information and multi-level sharing. In this manner, by using our system, we were able to significantly improve real-time tracking and pre-warning of the risk state, automatic generation of quality risk publicity figures, efficiency, and risk management levels.

关键词： railway construction project risk management a figure and four tables method MIS

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Exploring Opinion Dynamics in Security-Related Microblog Data

Exploring Opinion Dynamics in Security-Related Microblog Dat...

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IEEE Joint Intelligence and Security Informatics Conference (JISIC)

作者： Yuhao Zhang Wenji Mao Daniel Zeng Ning Zhao Xiuguo Bao State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Department of Management Information Systems University of Arizona Tucson AZ USA Beijing Police Department CNCERT/CC Beijing China

Web social media has become one of the major channels for people to express their opinions, share their feelings and communicate with others. Public opinions often ebb and flow with time due to the occurrence of social events and mutual influence of people on certain topics. The dynamic change of public opinions reflects the evolvement and trend of public attitudes and can facilitate many security-related applications. In this paper, we explore the modeling and detection of opinion dynamics on a specific topic based on textual social media data. We first define three measures to provide a thorough description of opinion dynamics, and identify the key factors that influence opinion changes, namely sentiment, social influence and dynamic factors. We then develop the computational method to capture opinion dynamics in security-related data. A preliminary empirical study is conducted based on the data from Weibo, one of the most popular microblog sites in China. The experimental results show the effectiveness of our method in modeling and predicting opinion dynamics.

关键词： Time measurement Media Logistics Data models Predictive models Learning systems Support vector machines

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