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10th IAPR International Workshop on Document Analysis systems, DAS 2012

作者： Shi, Cunzhao Xiao, Baihua Wang, Chunheng Zhang, Yang State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9780769546612

Detecting text in video or natural scene image is quite challenging due to the complex background, various fonts and illumination conditions. The preprocessing period, which suppresses the nontext areas so as to highlight the text areas, is the basis for further text detection. In this paper, a novel graph-based background suppression method for scene text detection is proposed. Considering each pixel as a node in the graph, our approach incorporates pixel-level and context-level features into a graph. Various factors contribute to the unary and pair wise cost function which is optimized via max-flow/min-cut algorithm [16] to get a binary image whose nontext pixels are suppressed so that text pixels are highlighted. Furthermore, the proposed background suppression method could be easily combined with other detection methods to improve the performance. Experimental results on ICDAR 2011 competition dataset show promising performance. © 2012 IEEE.

关键词： Edge detection

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A hierarchical networked urban traffic signal control system based on multi-agent

A hierarchical networked urban traffic signal control system...

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

作者： Chen, Cheng Li, Zheng Jiang State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781467303880

In this paper, we proposed an architecture of a hierarchical networked urban traffic signal control system Based on Multi-agent. With mobile agent technology, traffic control strategies are designed as traffic control agents, which can move from device to device in a network. The system can reconfigure and replace these agents according to inconstant states of traffic environment and performances of agents. By this way, demand-based control is realized in traffic signal control system. Then we described the details and key technologies in the procession of agent-generation, agent-storage and agent-usage. At last, a prototype of the system is developed and basic functions of this system are tested by simulations. These simulations also confirm extensibility and effectiveness of the system. © 2012 IEEE.

关键词： Hierarchical 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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Parallel Traffic management System Helps 16th Asian Games

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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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Gabor face recognition by multi-channel classifier fusion of supervised kernel manifold learning

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NEUROCOMPUTING 2012年 97卷 398-404页

作者： Zhao, Zeng-Shun Zhang, Li Zhao, Meng Hou, Zeng-Guang Zhang, Chang-Shui Shandong Univ Sci & Technol Shandong Prov Key Lab Robot & Intelligent Technol Coll Informat & Elect Engn Qingdao 266590 Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Tsinghua Univ Dept Automat Tsinghua Natl Lab Informat Sci & Technol State Key Lab Intelligent Technol & Syst Beijing 100084 Peoples R China

Motivated by the multi-channel nature of the Gabor feature representation and the success of the multiple classifier fusion, and meanwhile, to avoid careful selection of parameters for the manifold learning, we propose a face recognition framework under the multi-channel fusion strategy. The Gabor wavelet endows the algorithm in a similar way as the human visual system, to represent face features. To solve the curse of dimensionality due to multi-channel Gabor feature, as well as to preserve nonlinear lab.led intrinsic structure of the sample points, the manifold learning is applied to model the nonlinear lab.led intrinsic structure. Each of the filtered multi-channel Gabor features, is treated as an independent channel. Classification is performed in each channel by the component classifier and the final result is obtained using the decision fusion strategy. The experiments on three face datasets show effective and encouraging recognition accuracy compared with other existing methods. (C) 2012 Elsevier B.V. All rights reserved.

关键词： Face recognition Supervised kernel manifold learning Classifier fusion Gabor wavelet

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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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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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A New Calibration Method for an Inertial and Visual Sensing System

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International Journal of Automation and computing 2012年第3期9卷 299-305页

作者： Xu, De Wang, Hua-Wei Li, You-Fu Tan, Min State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China East China Research Institute of Electronic Engineering Hefei 230088 China Department of Manufacturing Engineering and Engineering Management City University of Hong Kong Hong Kong China

The relative pose between inertial and visual sensors equipped in autonomous robots is calibrated in two steps. In the first step, the sensing system is moved along a line, the orientations in the relative pose are computed from at least five corresponding points in the two images captured before and after the movement. In the second step, the translation parameters in the relative pose are obtained with at least two corresponding points in the two images captured before and after one step motion. Experiments are conducted to verify the effectiveness of the proposed method.

关键词： Inertial sensor visual sensor calibration motion estimation robot vision.

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A k-Nearest Neighbor Locally Weighted Regression Method for Short-Term Traffic Flow Forecasting

A <i>k</i>-Nearest Neighbor Locally Weighted Regression Meth...

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

作者： Li, Shuangshuang Shen, Zhen Xiong, Gang Chinese Acad Sci State Key Lab Management & Control Complex Syst Beijing Engn Res Ctr Intelligent Syst & Technol Inst Automat Beijing 100190 Peoples R China

ISBN: (纸本)9781467330633

In this paper, a k-nearest neighbor locally weighted regression method (k-LWR) is proposed to forecast the short-term traffic flow. Inspired by k-nearest neighbor (k-NN) method, the traffic flows which have the same clock time with the current traffic flow are viewed as neighbors. The traffic flows which have the same clock time with the predicted traffic flow are viewed as the outputs of the neighbors. The neighbors most similar to the current traffic flow are viewed as nearest neighbors. It is observed that each nearest neighbor has different similarity with the current traffic flow, and the similarity is relevant to the contribution of the nearest neighbor's output to predicted traffic flow. The greater the similarity is, the greater the contribution is. These contributions of the nearest neighbors' outputs are obtained by the locally weighted regression (LWR) method. In this way, k-LWR uses less data, but uses it more effectively. We use the root mean square error (RMSE) between the actual traffic flow and the predicted traffic flow as the measurement. The proposed method is tested on the actual data from Xingye intersection and Feihu intersection in Jiangsu Province in China. The experimental results show that k-LWR has 20% and 24% improvement over the pattern recognition algorithm (PRA), 26% and 30% improvement over k-NN, for the two intersections, respectively.

关键词： Vectors Forecasting Clocks Databases Pattern recognition Prediction algorithms Equations

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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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