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Parallel Traffic management System Helps 16th Asian Games

IEEE INTELLIGENT systems 2012年第3期27卷 74-78页

作者： Xiong, Gang Liu, Sheng Dong, Xisong Zhu, Fenghua Hu, Bin Fan, Dong Zhang, Zi Chinese Acad Sci Beijing Engn Res Ctr Intelligent Technol & Syst State Key Lab Management & Control Complex Syst Beijing 100864 Peoples R China Chinese Acad Sci Cloud Comp Ind Technol Innovat & Incubat Ctr Dongguan Res Inst Beijing 100864 Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100864 Peoples R China

To overcome public transportation problems during the 16th Asian Games held in Guanhzhou China, a PtMS (Parallel Transportation management System), a novel application of Intelligent Transportation systems, was introduced for effective and convenient traffic management. Results show that PtMS has successfully enhanced public traffic management, raising it from experience-based policy formulation plus manual implementation to scientific computing-based policy generation plus implementation with intelligent systems.

关键词： Parallel Transportation management System Public Transit Asian Games Bus Rapid Transit Bus management Taxi management Artificial Transportation System

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Modeling Social Causality and Responsibility Judgment in Multi-Agent Interactions

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JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH 2012年第1期44卷 223-273页

作者： Mao, Wenji Gratch, Jonathan Chinese Acad Sci State Key Lab Management & Control Complex Syst Inst Automat Beijing 100190 Peoples R China Univ So Calif Inst Creat Technol Playa Vista CA 90094 USA

Social causality is the inference an entity makes about the social behavior of other entities and self. Besides physical cause and effect, social causality involves reasoning about epistemic states of agents and coercive circumstances. Based on such inference, responsibility judgment is the process whereby one singles out individuals to assign responsibility, credit or blame for multi-agent activities. Social causality and responsibility judgment are a key aspect of social intelligence, and a model for them facilitates the design and development of a variety of multi-agent interactive systems. Based on psychological attribution theory, this paper presents a domain-independent computational model to automate social inference and judgment process according to an agent's causal knowledge and observations of interaction. We conduct experimental studies to empirically validate the computational model. The experimental results show that our model predicts human judgments of social attributions and makes inferences consistent with what most people do in their judgments. Therefore, the proposed model can be generically incorporated into an intelligent system to augment its social and cognitive functionality.

关键词： Blame Agents social model Judgment Social Intelligence Intelligent systems Attribution Theory Reasoning

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Extracting action knowledge in security informatics

Extracting action knowledge in security informatics

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2012 10th IEEE International Conference on Intelligence and Security Informatics, ISI 2012

作者： Ge, Ansheng Mao, Wenji Zeng, Daniel Kong, Qingchao Zhu, Huachi State Key Laboratory of Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China Beijing Police Department China

ISBN: (纸本)9781467321037

Actions are the primary way an entity interacts with other entities and acts on the external world. Action knowledge is of vital importance for behavior modeling, analysis and prediction in security informatics. In this paper, we present our approach to action knowledge extraction from Web textual data. Our approach is based on mutual bootstrapping with knowledge reasoning, which can acquire more action knowledge types and require less human participation compared with the related work. We evaluate the performance of our method and demonstrate its effectiveness through experiment. © 2012 IEEE.

关键词： Informatics Action Epistemology role model Information Extraction Security

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The research on micro-blog public opinion index and the application of prototype system

The research on micro-blog public opinion index and the appl...

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2012 9th IEEE International Conference on Networking, Sensing and control, ICNSC 2012

作者： Lu, Hao Yang, Yanwu Gan, Runsheng Zhang, Nan State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Chinese Association of Automation Beijing China

ISBN: (纸本)9781467303880

The micro-blogs, as a new social media, possesses big differences with other social media on the aspect of information updating frequency, organization structure, user connection and etc, which have astonishing power of convergence and penetration. Based on this, it is proposed in this paper that Micro-Blog Public Opinion Index (MBPOI), which consists of five sub-indexes QI, II, RI, PI and CI (Quantity Index, Intensity Index, Relation Index, Polarity Index, Confidence Index) multi-dimensionally, is used to measure and evaluate the public topics and issues discussed in the micro-blogs. In the meanwhile, taking "ABB automatic world 2011" activity as example, the MBPOI prototype system is verified;it has been shown from the results that the MBPOI, which uses five sub-indexes method, owns much better effect by quantifying the topics/issues' influence in multi-dimensions and multi-levels, and provides effective micro-blogs analysis reports for monitoring and tracking the "ABB automatic world 2011" activity. © 2012 IEEE.

关键词： Social networking (online)

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Budget planning for coupled campaigns in search auctions

Budget planning for coupled campaigns in search auctions

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22nd Workshop on Information Technologies and systems, WITS 2012

作者： Yang, Yanwu Qin, Rui Zhang, Jie Li, Xin Zeng, Daniel State Key Lab of Intelligent Control and Management of Complex Systems Inst. of Automation CAS Beijing China Department of Information Systems City University of Hong Kong Kowloon Tong Hong Kong Department of Management Information Systems University of Arizona United States

Budget-related decisions in search auctions are recognized as a structured decision problem, rather than a simple constraint. Budget planning over several coupled campaigns remains a challenging but utterly important task in search advertisements. In this paper, we propose a multi-campaign budget plan- ning approach using optimal control techniques, with consideration of the substitute relationship between advertising campaigns. A measure of coupled relationships between campaigns is presented, e.g., the over- lapping degree (O) in terms of campaign contents, promotional periods and target regions. We also discuss some desirable properties of our model and possible solutions. Furthermore, computational experiments are conducted to evaluate our model and identified properties, with real-world data collected from logs and reports of practical campaigns. Experimental results show that, (a) coupled campaigns with higher over- lapping degrees can reduce the optimal budget level and the optimal revenue, and also arrive the budgeting cap earlier;(b) The advertising effort could be seriously weakened when ignoring the overlapping degree between campaigns.

关键词： Budget control

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An Extended Path Following Algorithm for Graph-Matching Problem

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IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 2012年第7期34卷 1451-1456页

作者： Liu, Zhi-Yong Qiao, Hong Xu, Lei Chinese Acad Sci State Key Lab Management & Control Complex Syst Inst Automat Beijing 100190 Peoples R China Chinese Univ Hong Kong Dept Comp Sci & Engn Shatin Hong Kong Peoples R China

The path following algorithm was proposed recently to approximately solve the matching problems on undirected graph models and exhibited a state-of-the-art performance on matching accuracy. In this paper, we extend the path following algorithm to the matching problems on directed graph models by proposing a concave relaxation for the problem. Based on the concave and convex relaxations, a series of objective functions are constructed, and the Frank-Wolfe algorithm is then utilized to minimize them. Several experiments on synthetic and real data witness the validity of the extended path following algorithm.

关键词： Graph matching convex relaxation concave relaxation directed graph PATH following algorithm

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Multi-scale Fusion of Texture and Color for Background Modeling

Multi-scale Fusion of Texture and Color for Background Model...

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IEEE Conference on Advanced Video and Signal Based Surveillance (AVSS)

作者： Zhong Zhang Chunheng Wang Baihua Xiao Shuang Liu Wen Zhou State Key Laboratory of Management and Control for Complex Systems State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China

Background modeling from a stationary camera is a crucial component in video surveillance. Traditional methods usually adopt single feature type to solve the problem, while the performance is usually unsatisfactory when handling complex scenes. In this paper, we propose a multi-scale strategy, which combines both texture and color features, to achieve a robust and accurate solution. Our contributions are two folds: one is that we propose a novel texture operator named Scale-invariant Center-symmetric Local Ternary Pattern, which is robust to noise and illumination variations, the other is that a multi-scale fusion strategy is proposed for the issue. Our method is verified on several complex real world videos with illumination variation, soft shadows and dynamic backgrounds. We compare our method with four state-of-the-art methods, and the experimental results clearly demonstrate that our method achieves the highest classification accuracy in complex real world videos.

关键词： Color Image color analysis Colored noise Robustness Lighting Feature extraction

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Human age estimation with surface-based features from MRI images

Human age estimation with surface-based features from MRI im...

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3rd International Workshop on Machine Learning in Medical Imaging, MLMI 2012, Held in conjunction with the 15th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2012

作者： Wang, Jieqiong Dai, Dai Li, Meng Hua, Jing He, Huiguang State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Department of Computer Science Wayne State University MI United States

ISBN: (纸本)9783642354274

Over the past years, many efforts have been made in the estimation of the physiological age based on the human MRI brain images. In this paper, we propose a novel regression model with surface-based features to estimate the human age automatically and accurately. First, individual regional surface-based features (thickness, mean curvature, Gaussian curvature and surface area) from the MRI image were extracted, which were subsequently used to construct combined regional features and the brain networks. Then, the individual regional surface-based features, brain network with surface-based features and combined regional surface-based features were used for age regression by relevance vector machine (RVM), respectively. In the experiment, a dataset of 360 healthy subjects aging from 20 to 82 years was used to evaluate the performance. Experimental results based on 10-fold cross validation show that, compared to the previous methods, age estimation model with combined surface-based features can yield a remarkably high accuracy (mean absolute error: 4.6 years and root mean squared error: 5.6 years) and a significantly high correlation coefficient (r = 0.94), which is the best age estimation result as far as we know and suggests that surface-based features are more powerful than other features used in previous methods for human age estimation. © 2012 Springer-Verlag.

关键词： Magnetic resonance imaging

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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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Co-evolution-based mechanism design for sponsored search advertising

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ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS 2012年第6期11卷 537-547页

作者： Yuan, Yong Zeng, Daniel Univ Arizona Dept Management Informat Syst Tucson AZ 85721 USA Chinese Acad Sci State Key Lab Management & Control Complex Syst Inst Automat Beijing Peoples R China Beijing Engn Res Ctr Intelligent Syst & Technol Beijing Peoples R China

Sponsored search advertising (SSA), the primary revenue source of Web search engine companies, has become the dominant form of online advertising. Search engine companies, such as Google and Baidu, are naturally interested in SSA mechanism design with the aim to improve the overall effectiveness and profitability of SSA ecosystems. Due to model intractability, however, traditional game theory and mechanism design frameworks provide only limited help as to the design and evaluation of practical SSA mechanisms. In this paper, we propose a niche-based co-evolutionary simulation approach, aiming at computationally evaluating SSA auction mechanisms based on advertisers' equilibrium bidding behavior generated through co-evolution of their bidding strategies. Using this approach, we evaluate and compare key performance measures of several practical SSA auction mechanisms, including the generalized first and second price auction, the Vickrey-Clarke-Groves mechanism, and a novel hybrid mechanism adopted by ***, a major search engine in China. (C) 2012 Elsevier B.V. All rights reserved.

关键词： Sponsored search advertising Mechanism design Co-evolutionary simulation Niche-based evolution

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