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IEEE International Conference on Robotics and Biomimetics

作者： Gao Huang Weimin Zhang Fei Meng Ye Tian Qing Shi Klaus Petersen Atsuo Takanishi Qiang Huang Key Laboratory of Biomimetic Robots and Systems Ministry of Education China Intelligent Robotics Institute School of Mechatronical Engineering Beijing Institute of Technology Beijing China Faculty of Science and Engineering Waseda University Tokyo Japan Key Laboratory of Intelligent Control and Decision of Complex System China

ISBN: (纸本)9781479973989

To resemble the appearance of human beings, humanoid robots should be designed with many DOFs, however, it increases the complexity of the mechanical design and the real-time control, which will make a high cost and have a poor reliability and will not fit for the application in museums or human's daily lives. In this paper, to enable the low cost and high reliability robot to interact with humans naturally and sever humans more friendly, we imported advanced technology of the Waseda's flute robot and retained the most important mechanical parts, such as the lip, lungs and the fingers for the flute playing, on this basis, some other mechanical structures were redesigned; particularly, the robot's appearance was carefully designed; in addition, we also redesigned the hardware structure using our own joint controllers and software system based on CAN bus communication for the cost saving and high reliability. The redesigned robot had just 16 DOFs. Preliminary performance test results showed that this new redesigned robot achieved in producing high quality of flute sound and high sound conversion efficiency, and the period of communication was about 4ms.

关键词： Robot kinematics Robot sensing systems Lungs Joints Legged locomotion control systems

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A domain web data standardization organization method

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Information technology Journal 2013年第22期12卷 6710-6716页

作者： Rui, Cao Rui, Wang Li-Yun, Hao Ling-Da, Wu Science and Technology on Complex Electronic System Simulation Laboratory Academy of Equipment Beijing 101416 China Department of Automatic Control and Systems Engineering University of Sheffield Sheffield SI 4DT United Kingdom Department of Systems Engineering College of Information Systems and Management National University of Defense Technology Changsha 410073 China

In order to enable the Web data to be applied in a non-Internet environment, overcoming the timeliness of Web data, this study proposes a domain Web data standardization organization method. The domain Web standardization organization framework is established and the acquired data are divided into three categories: Structured, un-structured and semi-structured. With respect to the semi-structured data within an implicit scheme, we use a rational code design to transform semi-structured data into structured data. Combining file system and relational database, a standardization organization method is established for the three types of data. Experimental results show that this method is effective and efficient. ©2013 Asian Network for Scientific Information.

关键词： Standardization

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Sequence data and association statistics from 12,940 type 2 diabetes cases and controls

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Scientific data 2017年第1期4卷 170179页

作者： Jason Flannick Christian Fuchsberger Anubha Mahajan Tanya M Teslovich Vineeta Agarwala Kyle J Gaulton Lizz Caulkins Ryan Koesterer Clement Ma Loukas Moutsianas Davis J McCarthy Manuel A Rivas John R B Perry Xueling Sim Thomas W Blackwell Neil R Robertson N William Rayner Pablo Cingolani Adam E Locke Juan Fernandez Tajes Heather M Highland Josee Dupuis Peter S Chines Cecilia M Lindgren Christopher Hartl Anne U Jackson Han Chen Jeroen R Huyghe Martijn van de Bunt Richard D Pearson Ashish Kumar Martina Müller-Nurasyid Niels Grarup Heather M Stringham Eric R Gamazon Jaehoon Lee Yuhui Chen Robert A Scott Jennifer E Below Peng Chen Jinyan Huang Min Jin Go Michael L Stitzel Dorota Pasko Stephen C J Parker Tibor V Varga Todd Green Nicola L Beer Aaron G Day-Williams Teresa Ferreira Tasha Fingerlin Momoko Horikoshi Cheng Hu Iksoo Huh Mohammad Kamran Ikram Bong-Jo Kim Yongkang Kim Young Jin Kim Min-Seok Kwon Juyoung Lee Selyeong Lee Keng-Han Lin Taylor J Maxwell Yoshihiko Nagai Xu Wang Ryan P Welch Joon Yoon Weihua Zhang Nir Barzilai Benjamin F Voight Bok-Ghee Han Christopher P Jenkinson Teemu Kuulasmaa Johanna Kuusisto Alisa Manning Maggie C Y Ng Nicholette D Palmer Beverley Balkau Alena Stančáková Hanna E Abboud Heiner Boeing Vilmantas Giedraitis Dorairaj Prabhakaran Omri Gottesman James Scott Jason Carey Phoenix Kwan George Grant Joshua D Smith Benjamin M Neale Shaun Purcell Adam S Butterworth Joanna M M Howson Heung Man Lee Yingchang Lu Soo-Heon Kwak Wei Zhao John Danesh Vincent K L Lam Kyong Soo Park Danish Saleheen Wing Yee So Claudia H T Tam Uzma Afzal David Aguilar Rector Arya Tin Aung Edmund Chan Carmen Navarro Ching-Yu Cheng Domenico Palli Adolfo Correa Joanne E Curran Dennis Rybin Vidya S Farook Sharon P Fowler Barry I Freedman Michael Griswold Daniel Esten Hale Pamela J Hicks Chiea-Chuen Khor Satish Kumar Benjamin Lehne Dorothée Thuillier Wei Yen Lim Jianjun Liu Marie Loh Solomon K Musani Sobha Puppala William R Scott Loïc Yengo Sian-Tsung Tan Herman A Taylor Farook Thameem Gregory Wilson Tien Yin Wong Pål Rasmu Department of Molecular Biology Massachusetts General Hospital Boston Massachusetts USA. Program in Medical and Population Genetics Broad Institute Cambridge Massachusetts USA. Department of Biostatistics and Center for Statistical Genetics University of Michigan Ann Arbor Michigan USA. Wellcome Trust Centre for Human Genetics Nuffield Department of Medicine University of Oxford Oxford UK. Harvard-MIT Division of Health Sciences and Technology Massachusetts Institute of Technology Cambridge Massachusetts USA. Department of Statistics University of Oxford Oxford UK. Genetics of Complex Traits University of Exeter Medical School University of Exeter Exeter UK. MRC Epidemiology Unit Institute of Metabolic Science University of Cambridge Cambridge UK. Department of Twin Research and Genetic Epidemiology King's College London London UK. Oxford Centre for Diabetes Endocrinology and Metabolism Radcliffe Department of Medicine University of Oxford Oxford UK. Department of Human Genetics Wellcome Trust Sanger Institute Hinxton Cambridgeshire UK. School of Computer Science McGill University Montreal Quebec Canada. McGill University and Génome Québec Innovation Centre Montreal Quebec Canada. Human Genetics Center The University of Texas Graduate School of Biomedical Sciences at Houston The University of Texas Health Science Center at Houston Houston Texas USA. Department of Biostatistics Boston University School of Public Health Boston Massachusetts USA. National Heart Lung and Blood Institute's Framingham Heart Study Framingham Massachusetts USA. Medical Genomics and Metabolic Genetics Branch National Human Genome Research Institute National Institutes of Health Bethesda Maryland USA. Department of Biostatistics Harvard School of Public Health Boston Massachusetts USA. Chronic Disease Epidemiology Swiss Tropical and Public Health Institute University of Basel Basel Switzerland. Institute of Genetic Epidemiology Helmholtz Zentrum München German R

To investigate the genetic basis of type 2 diabetes (T2D) to high resolution, the GoT2D and T2D-GENES consortia catalogued variation from whole-genome sequencing of 2,657 European individuals and exome sequencing of 12,940 individuals of multiple ancestries. Over 27M SNPs, indels, and structural variants were identified, including 99% of low-frequency (minor allele frequency [MAF] 0.1-5%) non-coding variants in the whole-genome sequenced individuals and 99.7% of low-frequency coding variants in the whole-exome sequenced individuals. Each variant was tested for association with T2D in the sequenced individuals, and, to increase power, most were tested in larger numbers of individuals (>80% of low-frequency coding variants in ~82 K Europeans via the exome chip, and ~90% of low-frequency non-coding variants in ~44 K Europeans via genotype imputation). The variants, genotypes, and association statistics from these analyses provide the largest reference to date of human genetic information relevant to T2D, for use in activities such as T2D-focused genotype imputation, functional characterization of variants or genes, and other novel analyses to detect associations between sequence variation and T2D.

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Image mosaicing algorithm for dynamic scenes using multi-scaled PHOG feature and optimal seam

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Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence 2012年第4期25卷 624-631页

作者： Zou, Li-Hui Chen, Jie Zhang, Juan Lu, Jing-Hua Key Laboratory of Complex System Intelligent Control and Decision of Ministry of Education School of Automation Beijing Institute of Technology Beijing 100081 China School of Computer and Communication Engineering University of Science and Technology Beijing Beijing 100083 China

Aiming at the problems of registration error and synthetic movement ghost which are caused by moving objects in image mosaicing, a mosaicing algorithm for dynamic scene using multi-scale pyramid histogram of oriented gradients (PHOG) and optimal seam is proposed. Firstly, a new feature, multi-scaled PHOG, is generated by introducing PHOG to multi-scale space corner detections. The feature is used to align images for avoiding the local impact caused by moving objects in image registration. Then, an optimal seam, guaranteeing the minimum difference in geometry and gray value, is searched by graph cut algorithm through constructing an energy function to remove the movement ghost. The experimental results show that the proposed algorithm is efficient in dealing with the problems of image mosaicing with moving objects, and the mosaicing results are satisfactory with high precision.

关键词： Graphic methods

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Fuzzy-Neural Networks for a piloted Quality Management system

Fuzzy-Neural Networks for a piloted Quality Management Syste...

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Mediterranean Electrotechnical Conference (MELECON)

作者： Hajer Ben Mahmoud Dammak Raouf Ketata Taieb Ben Romdhane Samir Ben Ahmed National Institute of Applied Science and Technology Tunis Tunisia Research units on Methods and tools for Complex Computer Systems (MOSIC) Tunis Tunisia Research units on Intelligent Control design and Optimization of Complex System (ICOS) Tunis Tunisia

The purpose of this paper is to provide a path for designing a tool for decision support to ensure the effectiveness of Quality Management system (QMS). For this, we propose a Fuzzy-Neural Networks (FNN) approach for improving the efficiency of such system. The aim of this approach is to classify the objectives for a real-world case study which presents a major problem for controlling the quality levels of its production lines. This approach provided a significant improvement when the testing data are various or complex.

关键词： Fuzzy neural networks Quality management Computational modeling Classification algorithms Biological system modeling Unified modeling language

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Erratum to: Antimicrobials: a global alliance for optimizing their rational use in intra-abdominal infections (AGORA)

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World journal of emergency surgery : WJES 2017年第1期12卷 35页

作者： M Sartelli D G Weber E Ruppé M Bassetti B J Wright L Ansaloni F Catena F Coccolini F M Abu-Zidan R Coimbra E E Moore F A Moore R V Maier J J De Waele A W Kirkpatrick E A Griffiths C Eckmann A J Brink J E Mazuski A K May R G Sawyer D Mertz P Montravers A Kumar J A Roberts J L Vincent R R Watkins W Lowman B Spellberg I J Abbott A K Adesunkanmi S Al-Dahir M N Al-Hasan F Agresta A A Althani S Ansari R Ansumana G Augustin M Bala Z J Balogh O Baraket A Bhangu M A Beltrán M Bernhard W L Biffl M A Boermeester S M Brecher J R Cherry-Bukowiec O R Buyne M A Cainzos K A Cairns A Camacho-Ortiz S J Chandy A Che Jusoh A Chichom-Mefire C Colijn F Corcione Y Cui D Curcio S Delibegovic Z Demetrashvili B De Simone S Dhingra J J Diaz I Di Carlo A Dillip S Di Saverio M P Doyle G Dorj A Dogjani H Dupont S R Eachempati M A Enani V N Egiev M M Elmangory P Ferrada J R Fitchett G P Fraga N Guessennd H Giamarellou W Ghnnam G Gkiokas S R Goldberg C A Gomes H Gomi M Guzmán-Blanco M Haque S Hansen A Hecker W R Heizmann T Herzog A M Hodonou S K Hong R Kafka-Ritsch L J Kaplan G Kapoor A Karamarkovic M G Kees J Kenig R Kiguba P K Kim Y Kluger V Khokha K Koike K Y Kok V Kong M C Knox K Inaba A Isik K Iskandar R R Ivatury M Labbate F M Labricciosa P F Laterre R Latifi J G Lee Y R Lee M Leone A Leppaniemi Y Li S Y Liang T Loho M Maegele S Malama H E Marei I Martin-Loeches S Marwah A Massele M McFarlane R B Melo I Negoi D P Nicolau C E Nord R Ofori-Asenso A H Omari C A Ordonez M Ouadii G A Pereira Júnior D Piazza G Pupelis T M Rawson M Rems S Rizoli C Rocha B Sakakushev M Sanchez-Garcia N Sato H A Segovia Lohse G Sganga B Siribumrungwong V G Shelat K Soreide R Soto P Talving J V Tilsed J F Timsit G Trueba N T Trung J Ulrych H van Goor A Vereczkei R S Vohra I Wani W Uhl Y Xiao K C Yuan S K Zachariah J R Zahar T L Zakrison A Corcione R M Melotti C Viscoli P Viale Department of Surgery Macerata Hospital Via Santa Lucia 2 62100 Macerata Italy. Department of Trauma Surgery Royal Perth Hospital Perth Australia. Genomic Research Laboratory Geneva University Hospitals Geneva Switzerland. Infectious Diseases Division Santa Maria Misericordia University Hospital Udine Italy. Department of Emergency Medicine and Surgery Stony Brook University School of Medicine Stony Brook NY USA. General Surgery Department Papa Giovanni XXIII Hospital Bergamo Italy. Department of General Maggiore Hospital Parma Italy. Department of Surgery "Infermi" Hospital Rimini Italy. Department of Surgery College of Medicine and Health Sciences UAE University Al-Ain United Arab Emirates. Department of Surgery UC San Diego Medical Center San Diego USA. Department of Surgery University of Colorado Denver Health Medical Center Denver CO USA. Department of Surgery Division of Acute Care Surgery and Center for Sepsis and Critical Illness Research University of Florida College of Medicine Gainesville FL USA. Department of Surgery University of Washington Seattle WA USA. Department of Critical Care Medicine Ghent University Hospital Ghent Belgium. General Acute Care and Trauma Surgery Foothills Medical Centre Calgary AB Canada. General and Upper GI Surgery Queen Elizabeth Hospital Birmingham UK. Department of General Visceral and Thoracic Surgery Klinikum Peine Academic Hospital of Medical University Hannover Peine Germany. Department of Clinical microbiology Ampath National Laboratory Services Milpark Hospital Johannesburg South Africa. Department of Surgery School of Medicine Washington University in Saint Louis Saint Louis MO USA. Departments of Surgery and Anesthesiology Division of Trauma and Surgical Critical Care Vanderbilt University Medical Center Nashville TN USA. Department of Surgery University of Virginia Health System Charlottesville VA USA. Departments of Medicine Clinical Epidemiology and Biostatistics and Pathology and Mo

[This corrects the article DOI: 10.1186/s13017-016-0089-y.].

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Generalized Eden model with a screening effect

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Physical Review E 2011年第5期83卷 052105-052105页

作者： Yan-Bo Xie Yu-Jian Li Bing-Hong Wang Department of Satellite Measurement and Control on the Sea of China 214400 Jiangyin China and Research Center for Complex System Science University of Shanghai for Science and Technology and Shanghai Academy of System Science 200093 Shanghai China

We generalize the Eden model to take into account the screening effect, i.e., the end point grows much faster than the interior points do. Highly anisotropic clusters are obtained in our generalized Eden model. It is found that the length in the long direction scales differently than that in the short direction does as the number of sites increases.

关键词： ANISOTROPY CLUSTER theory (Nuclear physics) CRYSTALLOGRAPHY NUCLEAR structure NILSSON model

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Adaptive sliding mode control of electromechanical actuator with improved parameter estimation

Adaptive sliding mode control of electromechanical actuator ...

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作者： Li, Hao Bai, Yongqiang Su, Zhong School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Ministry of Education Beijing 100081 China Key Laboratory of Modern Measurement and Control Technology Beijing Information Science and Technology University Ministry of Education Beijing 100101 China

ISBN: (纸本)9788995605646

An adaptive sliding mode control scheme for electromechanical actuator has been presented. The adaptive control strategy can estimate the uncertain parameters and adaptively compensate the modeled dynamical uncertainties, while the sliding mode control method overcomes the unmodelled dynamics. In the adaptive law an equivalent output injection of the sliding mode observer which contains the parameter estimation error is used, and estimates of parameters can approximate the true values without prediction-error that is typically used in compositive adaptive law. Due to the improved estimation of uncertain parameters, the sliding mode law can robustifies the design against model uncertainties with a small swithcing gain. Stability of the system with the proposed approach has been proved and it has also been shown that the system states can reach the sliding mode in finite time. Finally, the effectiveness of the proposed control scheme has been exhibited via simulation examples. © 2011 Asian control Association.

关键词： Parameter estimation

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Differential evolution with adaptive population size combining lifetime and extinction mechanisms

Differential evolution with adaptive population size combini...

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作者： Zhang, Chunmei Chen, Jie Xin, Bin Cai, Tao Chen, Chen School of Automation Beijing Institute of Technology Beijing China Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing China School of Electronic Information Engineering Taiyuan University of Science and Technology Shanxi China Department of Automation Tsinghua University Beijing China

ISBN: (纸本)9788995605646

Differential Evolution (DE) is a simple and efficient numerical optimization method. Most DE variants in the literature adopt fixed population size. This paper incorporates into DE the mechanisms of lifetime and extinction which regulate DE's population size in an adaptive manner. The population size is adjusted according to the online progress of fitness improvement. Two schemes of inserting new individuals are proposed to match different mechanisms respectively. The performance of these innovations is examined through the optimization of benchmark problems. The results show that the proposed adaptive population sizing strategy is efficient for improving the convergence and efficiency of the DE. © 2011 Asian control Association.

关键词： Optimization

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Hierarchical Fuzzy Signatures approach for a piloted quality management system

Hierarchical Fuzzy Signatures approach for a piloted quality...

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IEEE SSD International Multi-Conference on systems, Signals and Devices

作者： Hajer Ben Mahmoud Raouf Ketata Taieb Ben Romdhane Samir Ben Ahmed National Institute of Applied Science and Technology (INSAT) Research units on Intelligent Control design and Optimisation of Complex System ICOS Corporation Tunisia National Institute of Applied Science and Technology INSAT Tunisia Research units on Methods and tools for Complex Computer Systems MOSIC Tunisia

There are many areas where objects with very complex and sometimes interdependent features are to be classified; similarities and dissimilarities are to be evaluated. This makes a complex decision model difficult to construct effectively. This paper presents a Hierarchical Fuzzy Signatures (HFS) approach for improving the effectiveness and efficiency of quality-management system (QMS). The goal is to classify the objectives for a real-world case study. The latter was chosen because it presents a major problem for controlling the quality levels of its production lines. With the use of this fuzzy signature structure, complex decision models in the quality management field should be able to be constructed more effectively. In fact, this study provides a path for designing a tool for decision support to ensure the effectiveness of a corporate QMS.

关键词： Companies Quality management Biological system modeling Computational modeling Production Availability ISO standards

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