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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 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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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 laboratory 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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Imputation and subset-based association analysis across different cancer types identifies multiple independent risk loci in the TERT-CLPTM1L region on chromosome 5p15.33

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HUMAN MOLECULAR GENETICS 2014年第24期23卷 6616-6633页

作者： Wang, Zhaoming Zhu, Bin Zhang, Mingfeng Parikh, Hemang Jia, Jinping Chung, Charles C. Sampson, Joshua N. Hoskins, Jason W. Hutchinson, Amy Burdette, Laurie Ibrahim, Abdisamad Hautman, Christopher Raj, Preethi S. Abnet, Christian C. Adjei, Andrew A. Ahlbom, Anders Albanes, Demetrius Allen, Naomi E. Ambrosone, Christine B. Aldrich, Melinda Amiano, Pilar Amos, Christopher Andersson, Ulrika Andriole, Gerald, Jr. Andrulis, Irene L. Arici, Cecilia Arslan, Alan A. Austin, Melissa A. Baris, Dalsu Barkauskas, Donald A. Bassig, Bryan A. Freeman, Laura E. Beane Berg, Christine D. Berndt, Sonja I. Bertazzi, Pier Alberto Biritwum, Richard B. Black, Amanda Blot, William Boeing, Heiner Boffetta, Paolo Bolton, Kelly Boutron-Ruault, Marie-Christine Bracci, Paige M. Brennan, Paul Brinton, Louise A. Brotzman, Michelle Bueno-de-Mesquita, H. Bas Buring, Julie E. Butler, Mary Ann Cai, Qiuyin Cancel-Tassin, Geraldine Canzian, Federico Cao, Guangwen Caporaso, Neil E. Carrato, Alfredo Carreon, Tania Carta, Angela Chang, Gee-Chen Chang, I-Shou Chang-Claude, Jenny Che, Xu Chen, Chien-Jen Chen, Chih-Yi Chen, Chung-Hsing Chen, Constance Chen, Kuan-Yu Chen, Yuh-Min Chokkalingam, Anand P. Chu, Lisa W. Clavel-Chapelon, Francoise Colditz, Graham A. Colt, Joanne S. Conti, David Cook, Michael B. Cortessis, Victoria K. Crawford, E. David Cussenot, Olivier Davis, Faith G. De Vivo, Immaculata Deng, Xiang Ding, Ti Dinney, Colin P. Di Stefano, Anna Luisa Diver, W. Ryan Duell, Eric J. Elena, Joanne W. Fan, Jin-Hu Feigelson, Heather Spencer Feychting, Maria Figueroa, Jonine D. Flanagan, Adrienne M. Fraumeni, Joseph F., Jr. Freedman, Neal D. Fridley, Brooke L. Fuchs, Charles S. Gago-Dominguez, Manuela Gallinger, Steven Gao, Yu-Tang Gapstur, Susan M. Garcia-Closas, Montserrat Garcia-Closas, Reina Gastier-Foster, Julie M. Gaziano, J. Michael Gerhard, Daniela S. Giffen, Carol A. Giles, Graham G. Gillanders, Elizabeth M. Giovannucci, Edward L. Goggins, Michael Gokgoz, Nalan Goldstein, Alisa M. Gonzalez, Carlos Gorlick, Richard Greene, Mark H. Gross, Myron Gro NCI Div Canc Epidemiol & Genet NIH Bethesda MD 20892 USA NCI Div Canc Prevent NIH Bethesda MD 20892 USA NCI Ctr Canc Res NIH Bethesda MD 20892 USA NCI Off Canc Genom Dept Hlth & Human Serv NIH Bethesda MD 20892 USA NCI Canc Genom Res Lab Div Canc Epidemiol & Genet SAIC Frederick IncFrederick Natl Lab Canc Res Frederick MD 21701 USA Korle Bu Teaching Hosp Accra Ghana Univ Ghana Sch Med Accra Ghana Karolinska Inst Epidemiol Unit Inst Environm Med Stockholm Sweden Karolinska Inst Dept Med Epidemiol & Biostat Stockholm Sweden Karolinska Inst Unit Nutr Epidemiol Inst Environm Med Stockholm Sweden Univ Oxford Clin Trial Serv Unit Oxford England Univ Oxford Epidemiol Studies Unit Oxford England Roswell Pk Canc Inst Dept Canc Prevent & Control Buffalo NY 14263 USA Vanderbilt Univ Sch Med Vanderbilt Epidemiol Ctr Div EpidemiolDept Med Nashville TN 37212 USA Vanderbilt Univ Sch Med Vanderbilt Ingram Canc Ctr Nashville TN 37212 USA Basque Reg Hlth Dept Publ Hlth Div Gipuzkoa San Sebastian Spain CIBER Epidemiol & Salud Publ CIBERESP Madrid Spain Geisel Sch Med Dartmouth Hanover NH USA Umea Univ Dept Radiat Sci Umea Sweden Umea Univ Dept Publ Hlth & Clin Med Nutr Res Umea Sweden Umea Univ Dept Publ Hlth & Clin Med Umea Sweden Umea Univ Dept Surg & Perioperat Sci Umea Sweden Umea Univ Dept Surg & Perioperat Sci Surg Umea Sweden Washington Univ Sch Med Div Urol Surg St Louis MO 63110 USA Univ Toronto Mt Sinai Hosp Samuel Lunenfeld Res Inst Litwin Ctr Canc Genet Toronto ON M5G 1X5 Canada Univ Brescia Dept Med & Surg Specialties Radiol Sci & Publ Hlt I-25121 Brescia Italy NYU Dept Obstet & Gynecol Sch Med New York NY 10016 USA NYU Sch Med Dept Populat Hlth New York NY 10016 USA NYU Inst Canc New York NY USA Univ Washington Dept Epidemiol Seattle WA 98195 USA Univ So Calif Keck Sch Med Dept Prevent Med Div Biostat Los Angeles CA 90033 USA Univ So Calif Keck Sch Med Dept Prevent Med Los Angeles CA 90033 USA Yale Univ

Genome-wide association studies (GWAS) have mapped risk alleles for at least 10 distinct cancers to a small region of 63 000 bp on chromosome 5p15.33. This region harbors the TERT and CLPTM1L genes;the former encodes the catalytic subunit of telomerase reverse transcriptase and the latter may play a role in apoptosis. To investigate further the genetic architecture of common susceptibility alleles in this region, we conducted an agnostic subset-based meta-analysis (association analysis based on subsets) across six distinct cancers in 34 248 cases and 45 036 controls. Based on sequential conditional analysis, we identified as many as six independent risk loci marked by common single-nucleotide polymorphisms: five in the TERT gene (Region 1: rs7726159, P = 2.10 x 10(-39);Region 3: rs2853677, P = 3.30 x 10(-36) and P-Conditional = 2.36 x 10(-8);Region 4: rs2736098, P = 3.87 x 10(-12) and P-Conditional = 5.19 x 10(-6), Region 5: rs13172201, P = 0.041 and P-Conditional = 2.04 x 10(-6);and Region 6: rs10069690, P = 7.49 x 10 215 and P-Conditional = 5.35 x 10(-7)) and one in the neighboring CLPTM1L gene(Region 2: rs451360;P = 1.90 x 10(-18) and P-Conditional = 7.06 x 10(-16)). Between three and five cancers mapped to each independent locus with both risk-enhancing and protective effects. Allele-specific effects on DNA methylation were seen for a subset of risk loci, indicating that methylation and subsequent effects on gene expression may contribute to the biology of risk variants on 5p15.33. Our results provide strong support for extensive pleiotropy across this region of 5p15.33, to an extent not previously observed in other cancer susceptibility loci.

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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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Click Fraud and the Adverse Effects of Competition

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IEEE INTELLIGENT systems 2011年第6期26卷 31-39页

作者： Li, Xiarong Zeng, Daniel D. Liu, Yong Yang, Yanwu Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100864 Peoples R China Univ Arizona Eller Coll Management Tucson AZ 85721 USA Univ Arizona Management Informat Syst Dept Tucson AZ 85721 USA

Modeling click fraud as a competitive strategy illustrates the motivations behind publisher behaviors and shows how it evolves and harms market efficiency.

关键词： Advertising Cost function Economics Intelligent systems Search engines click fraud intelligent systems social and economic computing

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Polarity shifting: Corpus construction and analysis

Polarity shifting: Corpus construction and analysis

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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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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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Iterative Learning control with Unknown control Direction: A Novel Data-Based Approach

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IEEE TRANSACTIONS ON NEURAL NETWORKS 2011年第12期22卷 2237-2249页

作者： Shen, Dong Hou, Zhongsheng Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing Engn Res Ctr Intelligent Syst & Technol Beijing 100190 Peoples R China Beijing Jiaotong Univ Adv Control Syst Lab Sch Elect & Informat Engn Beijing 100044 Peoples R China

Iterative learning control (ILC) is considered for both deterministic and stochastic systems with unknown control direction. To deal with the unknown control direction, a novel switching mechanism, based only on available system tracking error data, is first proposed. Then two ILC algorithms combined with the novel switching mechanism are designed for both deterministic and stochastic systems. It is proved that the ILC algorithms would switch to the right control direction and stick to it after a finite number of cycles. Moreover, the input sequence converges to the desired one under the deterministic case. The input sequence converges to the optimal one with probability 1 under stochastic case and the resulting tracking error tends to its minimal value.

关键词： Data-based control discrete-time systems iterative learning control unknown control direction

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