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2014 International Conference on Informative and Cybernetics for Computational Social systems(ICCSS2014)

作者： Wang Jie Mo Hong Zhu Fenghua College of Electrical &Information Engineering Changsha University of Science &Technology State Key Laboratory of Management and Control for Complex System

The results of traditional traffic status analysis are mostly single values,whose accuracy can’t be determined;fuzzy c-means clustering(FCM)algorithm based on fuzzy theory can calculate the clustering center of plenty data quickly and easily;linguistic dynamic systems could describe the dynamic rules of complex systems in the language *** this paper,membership functions are decided by FCM;result of a specific time period taken as one example is obtained;it’s discussed that linguistic dynamic analysis of traffic status in different period within a day by the same method.

关键词： fuzzy c-means clustering algorithm linguistic dynamic systems traffic flow

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An improved RSSI localisation algorithm in coal tunnel based on beacon nodes

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International Journal of Wireless and Mobile Computing 2014年第3期7卷 270-274页

作者： Qiao, Gang-Zhu Qi, Jin-Song Hu, Chun-Fu Zeng, Jian-Chao Complex System and Computational Intelligence Laboratory Taiyuan University of Science and Technology Taiyuan Shanxi 030024 China CNGC North Automatic Control Technology Institute Taiyuan Shanxi 030006 China

Since the coal mine tunnels are always very long and narrow, multipath effects of radio signal in tunnels are produced and low positioning accuracy of Received Signal Strength Indicator (RSSI) location algorithm is achieved. According to the research on the special environment of coal mine and combining the arrangement of beacon nodes in mine tunnels, an improved RSSI localisation algorithm based on beacon nodes is proposed in this paper. The method of beacon nodes' ID number, coordinate information and hop counts broadcasting to network in DV-HOP was introduced in this algorithm, to exclude the effects of disturbed RSSI values on personnel location. And the hop counts and coordinate information were used to correct location error. As a result, the noise immunity and location accuracy of RSSI were improved. The simulation shows that the effect of proposed method is more precise than RSSI under the same environment and can meet the requirements of underground person position. Copyright © 2014 Inderscience Enterprises Ltd.

关键词： Coal mines

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Distributed differential evolution algorithm with adaptive parameters

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Kongzhi yu Juece/control and Decision 2014年第4期29卷 701-706页

作者： Zhang, Chun-Mei Chen, Jie Xin, Bin School of Automation Ministry of Education Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing Institute of Technology Beijing 100081 China School of Electronic Information Engineering Taiyuan University of Science and Technology Taiyuan 030024 China

An adaptive distributed differential evolution algorithm is proposed based on the change of the individual's fitness value. Firstly, the initial population is divided into several subpopulations. When the migration condition is satisfied, the best individual in each subpopulation will replace the worst individual of its neighbor subpopulations according to the Von Neumann topology. The migration mechanism among subpopulations enables the information to be communicated in the whole population. Meanwhile, the adaptive mechanism of F and CR is presented for assigning different F and CR to each individual according to the individual's fitness. Numerical results show that, the proposed algorithm is beneficial to explore the solution space, which can avoid the premature convergence and search the excellent solutions.

关键词： Optimization

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Proceedings from the 9th annual conference on the science of dissemination and implementation: Washington, DC, USA. 14-15 December 2016

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Implement Sci 2017年第SUPPL 1期12卷 48-48页

作者： David Chambers Lisa Simpson Gila Neta Ulrica von Thiele Schwarz Antoinette Percy-Laurry Gregory A. Aarons Ross Brownson Amanda Vogel Shannon Wiltsey Stirman Kenneth Sherr Rachel Sturke Wynne E. Norton Allyson Varley Cynthia Vinson Lisa Klesges Suzanne Heurtin-Roberts M. Rashad Massoud Leighann Kimble Arne Beck Claire Neely Jennifer Boggs Carmel Nichols Wen Wan Erin Staab Neda Laiteerapong Nathalie Moise Ravi Shah Susan Essock Margaret Handley Amy Jones Jay Carruthers Karina Davidson Lauren Peccoralo Lloyd Sederer Todd Molfenter Ashley Scudder Sarah Taber-Thomas Kristen Schaffner Amy Herschell Eva Woodward Jeffery Pitcock Mona Ritchie JoAnn Kirchner Julia E. Moore Sobia Khan Shusmita Rashid Jamie Park Melissa Courvoisier Sharon Straus Daniel Blonigen Allison Rodriguez Luisa Manfredi Andrea Nevedal Joel Rosenthal David Smelson Christine Timko Nicole Stadnick Jennifer Regan Miya Barnett Anna Lau Lauren Brookman-Frazee Erick Guerrero Karissa Fenwick Yinfei Kong Gregory Aarons Rebecca Lengnick-Hall Benjamin Henwood Nina Sayer Craig Rosen Robert Orazem Brandy Smith Lindsey Zimmerman David Lounsbury Rachel Kimerling Jodie A. Trafton Steven Lindley Rahul Bhargava Hal Roberts Laura Gibson Gabriel J. Escobar Vincent Liu Benjamin Turk Arona Ragins Patricia Kipnis Ashley Ketterer Gruszkowski Michael W. Kennedy Emily Rentschler Drobek Lior Turgeman Aleksandra Sasha Milicevic Terrence L. Hubert Larissa Myaskovsky Youxu C. Tjader Robert J. Monte Kathryn G. Sapnas Edmond Ramly Diane R Lauver Christie M Bartels Shereef Elnahal Andrea Ippolito Hillary Peabody Carolyn Clancy Randall Cebul Thomas Love Douglas Einstadter Shari Bolen Brook Watts Vera Yakovchenko Angela Park William Lukesh Donald R. Miller David Thornton Mari-Lynn Drainoni Allen L. Gifford Shawna Smith Julia Kyle Mark S Bauer Daniel Eisenberg Celeste Liebrecht Michelle Barbaresso Amy Kilbourne Elyse Park Giselle Perez Jamie Ostroff Sarah Greene Michael Parchman Brian Austin Eric Larson Stefanie Ferreri Chris Shea Megan Smith Kea Turner Jennifer Bacci Kyle Bigham Geoffr Division of Cancer Control and Population Sciences National Cancer Institute Rockville MD 20850 USA AcademyHealth Washington DC 20009 USA Department of Learning Informatics Management and Ethics Karolinska Institutet Stockholm 17177 Sweden Department of Psychiatry University of California San Diego San Diego CA 92093 USA George Warren Brown School of Social Work Washington University in St. Louis St. Louis MO 63130 USA Center for Global Health National Cancer Institute Rockville MD 20850 USA Dissemination and Training Division VA National Center for PTSD Palo Alto CA 94305 USA Department of Global Health University of Washington Seattle WA 98105 USA Center for Global Health Studies Fogarty International Center National Institutes of Health Bethesda MD 20912 USA School of Public Health University of Alabama at Birmingham Birmingham AL 35243 USA School of Public Health University of Memphis Memphis TN 38152 USA USAID Applying Science to Strengthen and Improve Systems (ASSIST) Project Bethesda Maryland 20814 USA Institute for Health Research Kaiser Permanente Denver CO 80231 USA ICSI Institute for Clinical Systems Improvement Bloomington MN 55425 USA Medicine University of Chicago Chicago IL 60637 USA Medicine Columbia University Medical Center New York NY 10032 USA Psychiatry Columbia University New York NY 10032 USA General Internal Medicine Epidemiology and Biostatistics University of California San Francisco San Francisco CA 94110 USA New York State Office of Mental Health New York NY 10001 USA Medicine Icahn School of Medicine at Mount Sinai New York NY 10029 USA Center for Health Enhancement System Studies University of Wisconsin Madison WI 53706 USA Department of Psychiatry University of Pittsburgh Pittsburgh PA 15213 USA Psychology University at Buffalo Buffalo NY 14260 USA Department of Psychology West Virginia University Morgantown WV 26506 USA MIRECC VA North Little Rock AR 72114 USA QUERI for Team-Based Behavioral Health Centr

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Author Correction: Common and rare variant association analyses in amyotrophic lateral sclerosis identify 15 risk loci with distinct genetic architectures and neuron-specific biology

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Nature genetics 2022年第3期54卷 361页

作者： Wouter van Rheenen Rick A A van der Spek Mark K Bakker Joke J F A van Vugt Paul J Hop Ramona A J Zwamborn Niek de Klein Harm-Jan Westra Olivier B Bakker Patrick Deelen Gemma Shireby Eilis Hannon Matthieu Moisse Denis Baird Restuadi Restuadi Egor Dolzhenko Annelot M Dekker Klara Gawor Henk-Jan Westeneng Gijs H P Tazelaar Kristel R van Eijk Maarten Kooyman Ross P Byrne Mark Doherty Mark Heverin Ahmad Al Khleifat Alfredo Iacoangeli Aleksey Shatunov Nicola Ticozzi Johnathan Cooper-Knock Bradley N Smith Marta Gromicho Siddharthan Chandran Suvankar Pal Karen E Morrison Pamela J Shaw John Hardy Richard W Orrell Michael Sendtner Thomas Meyer Nazli Başak Anneke J van der Kooi Antonia Ratti Isabella Fogh Cinzia Gellera Giuseppe Lauria Stefania Corti Cristina Cereda Daisy Sproviero Sandra D'Alfonso Gianni Sorarù Gabriele Siciliano Massimiliano Filosto Alessandro Padovani Adriano Chiò Andrea Calvo Cristina Moglia Maura Brunetti Antonio Canosa Maurizio Grassano Ettore Beghi Elisabetta Pupillo Giancarlo Logroscino Beatrice Nefussy Alma Osmanovic Angelica Nordin Yossef Lerner Michal Zabari Marc Gotkine Robert H Baloh Shaughn Bell Patrick Vourc'h Philippe Corcia Philippe Couratier Stéphanie Millecamps Vincent Meininger François Salachas Jesus S Mora Pardina Abdelilah Assialioui Ricardo Rojas-García Patrick A Dion Jay P Ross Albert C Ludolph Jochen H Weishaupt David Brenner Axel Freischmidt Gilbert Bensimon Alexis Brice Alexandra Durr Christine A M Payan Safa Saker-Delye Nicholas W Wood Simon Topp Rosa Rademakers Lukas Tittmann Wolfgang Lieb Andre Franke Stephan Ripke Alice Braun Julia Kraft David C Whiteman Catherine M Olsen Andre G Uitterlinden Albert Hofman Marcella Rietschel Sven Cichon Markus M Nöthen Philippe Amouyel Bryan J Traynor Andrew B Singleton Miguel Mitne Neto Ruben J Cauchi Roel A Ophoff Martina Wiedau-Pazos Catherine Lomen-Hoerth Vivianna M van Deerlin Julian Grosskreutz Annekathrin Roediger Nayana Gaur Alexander Jörk Tabea Barthel Erik Theele Benjamin Ilse Beatrice Stubendorff Otto W Witte Robert Steinbach Chris Department of Neurology UMC Utrecht Brain Center University Medical Center Utrecht Utrecht University Utrecht the Netherlands. w.vanrheenen-2@umcutrecht.nl. Department of Neurology UMC Utrecht Brain Center University Medical Center Utrecht Utrecht University Utrecht the Netherlands. Department of Genetics University of Groningen University Medical Centre Groningen Groningen the Netherlands. Department of Genetics University Medical Center Utrecht Utrecht University Utrecht the Netherlands. University of Exeter Medical School College of Medicine and Health University of Exeter Exeter UK. Department of Neurosciences Experimental Neurology and Leuven Brain Institute (LBI) KU Leuven-University of Leuven Leuven Belgium. Laboratory of Neurobiology VIB Center for Brain & Disease Research Leuven Belgium. Department of Neurology University Hospitals Leuven Leuven Belgium. Translational Biology Biogen Boston MA USA. MRC Integrative Epidemiology Unit (IEU) Population Health Sciences University of Bristol Bristol UK. Institute for Molecular Bioscience University of Queensland Brisbane Queensland Australia. Illumina San Diego CA USA. Complex Trait Genomics Laboratory Smurfit Institute of Genetics Trinity College Dublin Dublin Ireland. Academic Unit of Neurology Trinity Biomedical Sciences Institute Trinity College Dublin Dublin Ireland. Maurice Wohl Clinical Neuroscience Institute Department of Basic and Clinical Neuroscience Institute of Psychiatry Psychology and Neuroscience King's College London London UK. Department of Biostatistics and Health Informatics Institute of Psychiatry Psychology and Neuroscience King's College London London UK. National Institute for Health Research Biomedical Research Centre and Dementia Unit South London and Maudsley NHS Foundation Trust and King's College London London UK. Department of Neurology Stroke Unit and Laboratory of Neuroscience Istituto Auxologico Italiano IRCCS Milan Italy. Department of Pathophysiology and

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Adaptive bat algorithm for toy model of protein folding

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Journal of Bionanoscience 2014年第5期8卷 360-363页

作者： Cai, Xingjuan Li, Wuzhao Kang, Qi Wang, Lei Wu, Qidi Department of Control Science and Engineering Tongji University Shanghai201804 China Complex System and Computational Intelligence Laboratory Taiyuan University of Science and Technology Shanxi030024 China Department of Electrical and Mechanical Engineering Jiaxing Vocational Technical College Jiaxing314036 China Shanghai Key Laboratory of Financial Information Technology Shanghai200433 China

Bat algorithm is a novel swarm intelligent algorithm inspired by the echolocation behavior of bats with varying pulse rates of emission and loudness. In this paper, a new variant which is called adaptive bat algorithm is designed and applied to solve the toy model prediction problem. In this algorithm, a linearly dynamic pulse rate selection strategy is designed. To test the performance, short sequences, Fibonacci sequence and real protein sequences are selected to compare, simulation results show adaptive bat algorithm is validity. Copyright © 2014 American Scientific Publishers.

关键词： Proteins

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On Mobilizing Processes of Cyber Movement Organizations

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IFAC Proceedings Volumes 2014年第3期47卷 9853-9857页

作者： Tao Wang Zhong Liu Kainan Cui Jie Zhang Fei-Yue Wang C.L. Philip Chen College of Information System and Management National University of Defense Technology Changsha 410073 China The State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing 100190 China The Research Center for Computational Experiments and Parallel Systems Technology National University of Defense Technology Changsha 410073 China Department of Computer and Information Science Science and Technology University of Macau Macau China

—Cyber Movement Organization (CMO) is a special kind of social movement organization on the Web. In this paper, we propose a model to simulate the mobilizing process of CMO, which consists of the individual unit, organization unit, and the mobilizing mechanisms. The mobilizing mechanisms has three sub-mechanisms: the participation mechanism, the choice mechanism, and the inviting mechanism. A dataset of more than two million “human flesh search” related microblogs is used to validate the model. Empirical results show that our model can capture the key features of the real-world mobilizing process.

关键词： Cyber Movement Organizations (CMO) Social Network Analysis Human Flesh Search (HFS) Simulation Social Movement Organizations Resource Mobilization

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Development of an anthropomorphic flute robot for the application in science and technology museum

Development of an anthropomorphic flute robot for the applic...

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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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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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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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