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2011 International Conference on Asian Language Processing, IALP 2011

作者： Zhang, Xiaoqian Li, Shoushan Zhou, Guodong Zhao, Hongxia Natural Language Processing Lab. Soochow University Suzhou China State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9780769545547

Polarity shifting has been a challenge to automatic sentiment classification. In this paper, we create a corpus which consists of polarity-shifted sentences in various kinds of product reviews. In the corpus, both the sentimental words and shifting trigger words are annotated. Furthermore, we analyze all the polarity shifted sentences and categorize them into five categories: opinion-itself, holder, target, time and hypothesis. Experimental study shows the agreement of annotation and the distribution of the five categories of polarity shifting. © 2011 IEEE.

关键词： corpus annotation polarity shifting sentiment classification

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Recognizing vehicle-contours with a compositional deformable model

Recognizing vehicle-contours with a compositional deformable...

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IEEE International Conference on Vehicular Electronics and Safety

作者： Yuan, Gu Wang, Fei-Yue State Key Laboratory of Intelligent Control and Management Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)9781457705762

This paper illustrates a compositional deformable model for detecting vehicle and recognizing vehicle-contours. To overcome the difficulties that vehicles in an image have various sizes, shapes, colors and poses, this model has two main characteristics: first, the model is made up of constituent parts which shared by vehicles. The locality of parts give the model the ability to recognize vehicles with different types (e.g., although vehicles have various sizes and shapes, they are usually composed by roof, windscreen, windows, etc.). Second, the spatial relationships of these parts are represented by Markov Random Field (MRF). The model is deformable to adapt to vehicles of different shapes and poses because of the appropriately changing of combinations of these parts in the MRF. Experimental results with real world images show that this method is effective in vehicle detection and vehicle-contours recognition. © 2011 IEEE.

关键词： Vehicles

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A vision system with multiple cameras designed for humanoid robots to play table tennis

A vision system with multiple cameras designed for humanoid ...

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2011 7th IEEE International Conference on Automation Science and Engineering, CASE 2011

作者： Yang, Ping Xu, De Zhang, Zhengtao Chen, Guodong Tan, Min State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)9781457717307

Two humanoid robots are used to play table tennis with each other. For each humanoid robot, three cameras and a computer are equipped to form a stereovision system and a monocular vision system. The stereovision system consisting of two smart cameras and a computer measures the 3-dimensional position of the table tennis ball. It adopts parallel processing mode in order to realize hundred frames level measurement per second. A high-speed digital camera and the computer compose the monocular vision system, which measures the pose of the robot relative to the table via a color mark attached on the robot. The two smart cameras in each stereovision system are synchronized via I/O signals. The vision systems for the two robots are synchronized by time verification. Experimental results verify the effectiveness of the designed vision system and the proposed methods. © 2011 IEEE.

关键词： Anthropomorphic robots

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Fitting a Functional Structural Plant Model based on Global Sensitivity Analysis

Fitting a Functional Structural Plant Model based on Global ...

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IEEE International Conference on Automation Science and Engineering

作者： Yubin LIN Mengzhen KANG Jing HUA National Key Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences State Key Laboratory of Management and Control for Complex Systems Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences

ISBN: (纸本)9781467304290

Calibration of a functional structural plant model is a challenging task because of the complexity of model structure. Parameter estimation through gradient-based optimization technique was highly dependent on initial parameter values. This motivated the use of global sensitivity analysis technique to choose parameter subset in fitting the data sequence. Global sensitivity indices were computed using the source sink ratio as the output of interest, which regulates all organ growth. By fitting on chrysanthemum data from nine sampling dates, it is shown that sensitivity analysts method helps to identify the influential parameters for a given sampling date. As a result, fitting process is less dependent on the initial parameter values. Current work provides a new method of calibrating a plant growth model with multiple outputs.

关键词： Sensitivity analysis plant models organ growth MACHINE SHOP PRACTICE

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Development of learning control in robots

Development of learning control in robots

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2011 IEEE International Conference on Mechatronics and Automation, ICMA 2011

作者： Su, Hu Xu, De Huang, Yanlong State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)9781424481149

Learning control has been an active topic of research for several decades, and is of theoretical, as well as practical, significance. Current theories and developments in learning control are discussed. Following a brief introduction of the state as well as new progress on learning control, we give a detail review on the models and algorithms of the control policies developed recently which proved to be advantageous over previous approaches through experimental results. The related results and properties are presented. Then, several potentially developmental topics that are valuable to be further investigated are suggested. Finally, the conclusion remark is proposed. © 2011 IEEE.

关键词： Learning algorithms

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A case study for traffic signal control system evaluation based on artificial transportation systems

A case study for traffic signal control system evaluation ba...

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2011 IEEE International Conference on Service Operations, Logistics and Informatics, SOLI 2011

作者： Zhu, Fenghua Li, Zhenjiang State Key Laboratory for Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100080 China

ISBN: (纸本)9781457705731

This paper proposes a novel method to evaluate Traffic Signal control System(TSCS) based on Artificial Transportation systems(ATS). Using this method, we can generate travel demand based on individual's activities and construct artificial traffic scenarios using basic rules. While interacting with ATS, TSCS can be evaluated by observing and analyzing the traffic status that emerged. The cost of the evaluation is decreased as artificial traffic environment can be constructed in the lab.ratory to substitute real environment and the evaluation can be carried out before the installation on site. Furthermore, as reasonable travel demand can be generated based on individual's activities, the reliability of evaluation results can be guaranteed. Finally, the effectiveness of this method is verified by experiments. © 2011 IEEE.

关键词： control systems

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A novel image deblurring method based on high-order MRF prior

A novel image deblurring method based on high-order MRF prio...

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4th International Workshop on Advanced Computational Intelligence, IWACI 2011

作者： Zhao, Bo Zhang, Wensheng State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)9781612843735

A novel image deblurring method based on high-order non-local range Markov Random Field (NLR-MRF) prior is proposed in the paper. NLR-MRF is an effective statistical framework to model prior knowledge of natural images which leads to excellent performance in some low-level vision problems. In our work, the framework is extended to image deblurring. To overcome some limitations of maximum a-posteriori (MAP) estimation, we adopt Bayesian minimum mean squared error (MMSE) estimation to perform deblurring. The high-order NLR-MRF prior can be easily integrated into this framework. Then, an efficient Gibbs sampling algorithm is employed to compute MMSE estimation. The proposed method frees the user from determining regularization parameter beforehand, which relies on unknown noise level. Our deblurring method shows superior or comparable results to the state-of-art deblurring methods. © 2011 IEEE.

关键词： Mean square error

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Next-Generation Team-Science Platform for Scientific Collab.ration

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IEEE intelligent systems 2011年第6期26卷 72-76页

作者： Zheng, Xiaolong Ke, Guanyan Zeng, Daniel D. Ram, Sudha Lu, Hao Chinese Acad Sci State Key Lab Management & Control Complex Syst Inst Automat Beijing 100864 Peoples R China Univ Arizona Dept Management Informat Syst Tucson AZ 85721 USA Chinese Acad Sci State Key Lab Intelligent Control & Management Co Inst Automat Beijing 100864 Peoples R China

Emerging research on team science aims at better understanding the key contextual factors during the trans-disciplinary scientific collab.ration process and enhancing the outcomes of large-scale collab.rative research programs. Team science can range from a few participants working at the same site to numerous researchers dispersed across multiple geographic and organizational venues. This article outlines the fundamental conceptual framework of a next-generation team-science-enabling platform (TSEP).

关键词： Collab.ration Cybernetics Research and development Social factors cyber-physical-social systems cyberinfrastructures intelligent systems interdisciplinary research scientific collab.ration team science team-science-enabling platform

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Optimal budget allocation across search advertising markets

Optimal budget allocation across search advertising markets

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21st Workshop on Information Technologies and systems, WITS 2011

作者： Yang, Yanwu Zhang, Jie Liu, Baiyu Zeng, Daniel State Key Lab. of Intelligent Control and Management of Complex Systems Chinese Academy of Sciences Beijing 100190 China School of Mathematics and Physics University of Science and Technology Beijing China Department of Management Information Systems University of Arizona United States

How to rationally allocate the limited advertising budget is a critical issue in search auctions. However, due to the heterogeneousness of major search markets in terms of auction mechanisms, ranking algorithms and advertising structures, it is becoming increasingly difficult for an advertiser to manipulate advertising budget simultaneously across several search markets. In this paper, we establish a novel optimal budget allocation model across search advertising markets, under a finite time horizon. By considering distinctive features of search auctions, we introduce the quality score q and the dynamic advertising effort u to extend the advertising response function to fit budget decision scenarios. We also provide a feasible solution to our model and study some desirable properties: (a) the marginal return is non-increasing with respect to the advertising budget;(b) the optimal budget solution satisfies the condition that the advertising effort u is positively proportional to the product of the change of accumulated revenue in a market ∂V, the change of market share ∂ θ and the advertising elasticity α. Computational experiments are made to evaluate our model and identified properties. Experimental results show that the advertiser with increasing advertising elasticity is suggested to invest more budget in the late stages, but the advertiser with decreasing advertising elasticity should invest more budget in the initial stage, in order to maximize net profits.

关键词： Marketing

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The strategies of avoiding energy holes in wireless sensor networks

The strategies of avoiding energy holes in wireless sensor n...

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4th International Congress on Image and Signal Processing, CISP 2011

作者： Wang, Zhengjie Qian, Xu Zhao, Xiaoguang Beijing China State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781424493067

Wireless sensor networks are characterized by multihop network. Some nodes in network are required to forward a disproportionately high amount of traffic and die early, leaving the unmonitored areas in network and leading to the problem of energy hole. This paper investigates a variety of strategies to avoid the energy hole, such as communication power control, data aggregation, nonuniform energy distribution, mobile node auxiliary and clustering. The analysis and comparison of different strategies are given and the advantages and disadvantage of them are discussed in this paper. © 2011 IEEE.

关键词： Sensor nodes

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