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High Statistics Measurements of Pedestrian Dynamics

Transportation Research Procedia 2014年 2卷 96-104页

作者： Alessandro Corbetta Luca Bruno Adrian Muntean Federico Toschi CASA- Centre for Analysis Scientific computing and Applications Department of Mathematics and Computer Science Eindhoven University of Technology P.O. Box 513 5600 MB Eindhoven The Netherlands Department of Structural Geotechnical and Building Engineering Politecnico di Torino Corso Duca degli Abruzzi 24 10126 Torino Italy Department of Architecture and Design Politecnico di Torino Viale Mattioli 39 10125 Torino Italy ICMS - Institute for Complex Molecular Systems Eindhoven University of Technology The Netherlands Department of Applied Physics Eindhoven University of Technology 5600 MB Eindhoven The Netherlands CNR-IAC Via dei Taurini 19 00185 Rome Italy

Aiming at a quantitative understanding of basic aspects of pedestrian dynamics, extensive and high-accuracy measurements of real-life pedestrian trajectories have been performed. A measurement strategy based on Microsoft Kinect TM has been used. Specifically, more than 100.000 pedestrians have been tracked while walking along a trafficked corridor at the Eindhoven University of Technology, The Netherlands. The obtained trajectories have been analyzed as ensemble data. The main result consists of a statistical descriptions of pedestrian characteristic kinematic quantities such as positions and fundamental diagrams, possibly conditioned to the local crowd flow (e.g. co-flow or counter-flow).

关键词： pedestrian dynamics pedestrian tracking high statistics measurements statistical mechanics

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Development of an advanced manufacturing cloud for machine tool industry based on AVM technology

Development of an advanced manufacturing cloud for machine t...

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2013 IEEE International Conference on Automation Science and engineering, CASE 2013

作者： Hung, Min-Hsiung Lin, Yu-Chuan Huang, Hsien-Cheng Hsieh, Min-Hsuan Yang, Haw-Ching Cheng, Fan-Tien Department of Computer Science and Information Engineering Chinese Culture University Taipei Taiwan Institute of Manufacturing Information and Systems National Cheng Kung University Tainan Taiwan Institute of System Information and Control National Kaohsiung First University of Science and Technology Kaohsiung Taiwan

In this paper, a cloud manufacturing platform, called AMC (Advanced Manufacturing Cloud), is introduced. The AMC provides several manufacturing-related cloud services to facilitate the users to conduct supporting activities for machine tools and offers intelligent devices which can be plugged in various prediction models for performing predictive applications on machine tools. We first describe the architecture design of the AMC and then present methodologies to how to build cloud services and key mechanisms in the AMC. Finally, we construct a paradigm AMC and practically deploy its cloud services and intelligent devices in a public cloud platform and a factory of our cooperative machine tool company, respectively. We also conduct integrated tests to illustrate the efficacy and merits of the AMC. © 2013 IEEE.

关键词： cloud computing machine tools machinery production industries measurement production engineering computing virtual instrumentation

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UCC 2013: Message from the conference organization chairs

Proceedings - 2013 IEEE/ACM 6th International Conference on ...

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Proceedings - 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing, UCC 2013 2013年 xv-xvi页

作者： Buyya, Rajkumar Schill, Alexander Spillner, Josef Laboratory Department of Computer Science and Software Engineering University of Melbourne Australia Department of Computer Science Institute for Systems Architecture Technische Universität Dresden Germany Technische Universität Dresden Germany

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Modeling complex cross-systems software interfaces using SysML

Modeling complex cross-systems software interfaces using Sys...

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AIAA Infotech at Aerospace (I at A) Conference

作者： Mandutianu, Sanda Morillo, Ron Simpson, Kim Liepack, Otfrid Bonanne, Kevin Jet Propulsion Laboratory California Institute of Technology 4800 Oak Grove Dr. M/S 301-285 Pasadena CA 91001 United States Jet Propulsion Laboratory California Institute of Technology System Software Engineering 4800 Oak Grove Dr. M/S 301-490 Pasadena CA 91001 United States Jet Propulsion Laboratory California Institute of Technology Mission Systems Concepts section 4800 Oak Grove Dr. M/S 321-540 Pasadena CA 91001 United States Jet Propulsion Laboratory California Institute of Technology Mission Operations Systems Engineering 4800 Oak Grove Dr. M/S 301-270 Pasadena CA 91001 United States Jet Propulsion Laboratory California Institute of Technology Ground Systems Architecture and Systems Engineering 4800 Oak Grove Dr. M/S 301- 480 Pasadena CA 91001 United States

The complex flight and ground systems for NASA human space exploration are designed, built, operated and managed as separate programs and projects. However, each system relies on one or more of the other systems in order to accomplish specific mission objectives, creating a complex, tightly coupled architecture. Thus, there is a fundamental need to understand how each system interacts with the other. To determine if a model-based system engineering approach could be utilized to assist with understanding the complex system interactions, the NASA engineering and Safety Center (NESC) sponsored a task to develop an approach for performing cross-system behavior modeling. This paper presents the results of applying Model Based systems engineering (MBSE) principles using the system Modeling Language (SysML) to define cross-system behaviors and how they map to crosssystem software interfaces documented in system-level Interface Control Documents (ICDs).

关键词： Modeling languages

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Finding Objects with Segmentation Strategy based Multi Robot Exploration in Unknown Environment

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Procedia - Social and Behavioral Sciences 2013年 97卷 580-586页

作者： Reza Arezoumand Syamsiah Mashohor Mohammad Hamiruce Marhaban Intelligent System and Robotics Laboratory Institute of Advanced Technology Universiti Putra Malaysia 43400 Serdang Selangor Malaysia Department of Computer & Communication Systems Faculty of Engineering Universiti Putra Malaysia 43400 Serdang Selangor Malaysia Department of Electrical and Electronic Engineering University Putra Malaysia 43400 Serdang Selangor Malaysia

In this paper we address exploration algorithm in flat experimental environment with colored objects for multi robots system. The aim of exploration in unknown environment is finding target points like mine detection in outdoor environment without any positioning device. Two algorithms were investigated in this paper one is frontier based random search algorithm and the second is efficient algorithm based on segmentation strategy. To improve efficiency, each robot had to go to different regions to avoid cumulating robots in one region. Constructed maps for all four regions could be shared and navigation could be done more effectively. For constructing map robot can use on built range finder sensor or using vision based systems. Also the algorithm using segmentation strategy is using frontier base algorithm for exploring divided area. Both algorithm implemented and analyzed in Player/Stage simulation. The result was compared and showed the efficiency of the designed algorithm based segmentation strategy. In simulation this algorithm is tested with different number of robots to achieve better view of efficiency for proposed algorithm in different type of environment like harsh environment as possibility of losing some robots.

关键词： Multi-robot exploration Flocking Exploration ratio Trajectory prediction

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A Dependability Model for TMR system

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International Journal of Automation and computing 2012年第3期9卷 315-324页

作者： Peng, Jun-Jie Liu, Yan-Ping Chen, Yuan-Yuan School of Computer Engineering and Science Shanghai University Shanghai 200072 China Key Laboratory of Computer System and Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China

Much research has been done on the dependability evaluation of computer systems. However, much of this is gone no further than study of the fault coverage of such systems, with little focus on the relationship between fault coverage and overall system dependability. In this paper, a Markovian dependability model for triple-modular-redundancy (TMR) system is presented. Having fully considered the effects of fault coverage, working time, and constant failure rate of single module on the dependability of the target TMR system, the model is built based on the stepwise degradation strategy. Through the model, the relationship between the fault coverage and the dependability of the system is determined. What is more, the dependability of the system can be dynamically and precisely predicted at any given time with the fault coverage set. This will be of much benefit for the dependability evaluation and improvement, and be helpful for the system design and maintenance.

关键词： Dependability Markovian model coverage triple-modular-redundancy (TMR) failure rate.

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Way sharing set associative cache architecture

Way sharing set associative cache architecture

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25th International Conference on VLSI Design, VLSID 2012 and the 11th International Conference on Embedded systems

作者： Janraj, C.J. Kalyan, T. Venkata Warrier, Tripti Mutyam, Madhu Computer Architecture and Systems Laboratory Department of Computer Science and Engineering Indian Institute of Technology Madras Chennai 600036 India

ISBN: (纸本)9780769546384

In order to minimize the conflict miss rate, cache memories can be organized in set-associative manner. The downside of increasing the associativity is increase in the per access energy consumption. In conventional n-way set-associative caches, irrespective of the set-wise demand, each set has n cache ways at its disposal, but cache sets may exhibit nonuniform demand for these cache ways. Exploiting this property, we propose a novel cache architecture, called way sharing cache, wherein by allowing sharing of cache ways among a pair of cache sets, we obtain dynamic energy savings as high as 41% in DL1 cache with negligible performance penalty. © 2012 IEEE.

关键词： Energy conservation

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Proceedings of the 8th Annual Conference on the Science of Dissemination and Implementation : Washington, DC, USA. 14-15 December 2015

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Implementation science : IS 2016年第2期11 Suppl 2卷 100页

作者： Chambers, David Simpson, Lisa Hill-Briggs, Felicia Neta, Gila Vinson, Cynthia Beidas, Rinad Marcus, Steven Aarons, Gregory Hoagwood, Kimberly Schoenwald, Sonja Evans, Arthur Hurford, Matthew Rubin, Ronnie Hadley, Trevor Barg, Frances Walsh, Lucia Adams, Danielle Mandell, David Martin, Lindsey Mignogna, Joseph Mott, Juliette Hundt, Natalie Kauth, Michael Kunik, Mark Naik, Aanand Cully, Jeffrey McGuire, Alan White, Dominique Bartholomew, Tom McGrew, John Luther, Lauren Rollins, Angie Salyers, Michelle Cooper, Brittany Funaiole, Angie Richards, Julie Lee, Amy Lapham, Gwen Caldeiro, Ryan Lozano, Paula Gildred, Tory Achtmeyer, Carol Ludman, Evette Addis, Megan Marx, Larry Bradley, Katharine VanDeinse, Tonya Wilson, Amy Blank Stacey, Burgin Powell, Byron Bunger, Alicia Cuddeback, Gary Barnett, Miya Stadnick, Nicole Brookman-Frazee, Lauren Lau, Anna Dorsey, Shannon Pullmann, Michael Mitchell, Shannon Schwartz, Robert Kirk, Arethusa Dusek, Kristi Oros, Marla Hosler, Colleen Gryczynski, Jan Barbosa, Carolina Dunlap, Laura Lounsbury, David O’Grady, Kevin Brown, Barry Damschroder, Laura Waltz, Thomas Ritchie, Mona Atkins, David Imel, Zac E. Xiao, Bo Can, Doğan Georgiou, Panayiotis Narayanan, Shrikanth Berkel, Cady Gallo, Carlos Sandler, Irwin Brown, C. Hendricks Wolchik, Sharlene Mauricio, Anne Marie Mehrotra, Sanjay Chandurkar, Dharmendra Bora, Siddhartha Das, Arup Tripathi, Anand Saggurti, Niranjan Raj, Anita Hughes, Eric Jacobs, Brian Kirkendall, Eric Loeb, Danielle Trinkley, Katy Yang, Michael Sprowell, Andrew Nease, Donald Lyon, Aaron Lewis, Cara Boyd, Meredith Melvin, Abigail Nicodimos, Semret Liu, Freda Jungbluth, Nathanial Flynn, Allen Landis-Lewis, Zach Sales, Anne Baloh, Jure Ward, Marcia Zhu, Xi Bennett, Ian Unutzer, Jurgen Mao, Johnny Proctor, Enola Vredevoogd, Mindy Chan, Ya-Fen Williams, Nathaniel Green, Phillip Bernstein, Steven Rosner, June-Marie DeWitt, Michelle Tetrault, Jeanette Dziura, James Hsiao, Allen Sussman, Scott O’Connor, Patrick Toll, Benjamin Jones, Michael Gassaway, Julie Tobin, Jonathan Zatzic Division of Cancer Control and Population Sciences National Cancer Institute National Institutes of Health Rockville USA AcademyHealth Washington USA Department of Medicine and Welch Center for Prevention Epidemiology and Clinical Research Johns Hopkins Medical Institutions Baltimore USA Psychiatry University of Pennsylvania Philadelphia USA Family Medicine and Community Health University of Pennsylvania Philadelphia USA School of Social Policy and Practice University of Pennsylvania Philadelphia USA Psychiatry UC San Diego La Jolla USA Child & Adolescent Psychiatry The Child Study Center at NYU Langone Medical Center New York NY New York USA Psychiatry and Behavioral Sciences MUSC Charleston USA DBHIDS City of Philadelphia Philadelphia USA CBH City of Philadelphia Philadelphia USA Psychiatry University of Pennsylvania Perelman School of Medicine Philadelphia USA Health Services Research & Development Department of Veterans Affairs & Baylor College of Medicine Houston USA Treatment Core Department of Veterans Affairs Waco USA National Center for PTSD Executive Division Department of Veterans Affairs White River Junction USA HSR&D HSR&D Center for Health Information and Communication Roudebush VA Medical Center Indianapolis USA Psychology Indiana University Purdue University Indianapolis Indianapolis USA Department of Psychiatric Rehabilitation and Counseling Rutgers University Newark USA Health Services Research & Development Richard L. Roudebush VAMC Indianapolis USA IUPUI Department of Psychology ACT Center of Indiana Indianapolis USA Human Development Washington State University Pullman USA Prevention Science Washington State University Pullman USA Group Health Research Institute Group Health Seattle USA Behavioral Health Services Group Health Seattle USA Preventive Care Group Health Seattle USA Health Services Research & Development Primary and Specialty Medical Care Service VA Puget Sound Seattle USA School of Social Work Un

A1 Introduction to the 8th Annual Conference on the Science of Dissemination and Implementation: Optimizing Personal and Population Health David Chambers, Lisa Simpson D1 Discussion forum: Population health D&I research Felicia Hill-Briggs D2 Discussion forum: Global health D&I research Gila Neta, Cynthia Vinson D3 Discussion forum: Precision medicine and D&I research David Chambers S1 Predictors of community therapists’ use of therapy techniques in a large public mental health system Rinad Beidas, Steven Marcus, Gregory Aarons, Kimberly Hoagwood, Sonja Schoenwald, Arthur Evans, Matthew Hurford, Ronnie Rubin, Trevor Hadley, Frances Barg, Lucia Walsh, Danielle Adams, David Mandell S2 Implementing brief cognitive behavioral therapy (CBT) in primary care: Clinicians' experiences from the field Lindsey Martin, Joseph Mignogna, Juliette Mott, Natalie Hundt, Michael Kauth, Mark Kunik, Aanand Naik, Jeffrey Cully S3 Clinician competence: Natural variation, factors affecting, and effect on patient outcomes Alan McGuire, Dominique White, Tom Bartholomew, John McGrew, Lauren Luther, Angie Rollins, Michelle Salyers S4 Exploring the multifaceted nature of sustainability in community-based prevention: A mixed-method approach Brittany Cooper, Angie Funaiole S5 Theory informed behavioral health integration in primary care: Mixed methods evaluation of the implementation of routine depression and alcohol screening and assessment Julie Richards, Amy Lee, Gwen Lapham, Ryan Caldeiro, Paula Lozano, Tory Gildred, Carol Achtmeyer, Evette Ludman, Megan Addis, Larry Marx, Katharine Bradley S6 Enhancing the evidence for specialty mental health probation through a hybrid efficacy and implementation study Tonya VanDeinse, Amy Blank Wilson, Burgin Stacey, Byron Powell, Alicia Bunger, Gary Cuddeback S7 Personalizing evidence-based child mental health care within a fiscally mandated policy reform Miya Barnett, Nicole Stadnick, Lauren Brookman-Frazee, Anna Lau S8 Leveraging an existing

关键词： Veteran Affair Motivational Interview Qualitative Comparative Analysis Community That Care Supplemental Nutrition Assistance Program

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Design and optimization methodology for 3D RRAM arrays

Design and optimization methodology for 3D RRAM arrays

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International Electron Devices Meeting (IEDM)

作者： Yexin Deng Hong-Yu Chen Bin Gao Shimeng Yu Shih-Chieh Wu Liang Zhao Bing Chen Zizhen Jiang Xiaoyan Liu Tuo-Hung Hou Yoshio Nishi Jinfeng Kang H.-S. Philip Wong School of Electrical and Computer Engineering and Birck Nanotechnology Center Purdue University West Lafayette IN USA Department of Electrical Engineering and Center for Integrated Systems Stanford University Stanford CA USA Institute of Microelectronics Peking University Beijing China School of Computing Informatics and Decision System Engineering Arizona State University Tempe AZ USA Department of Electronics Engineering and Institute of Electronics National Chiao Tung University Hsinchu Taiwan Stanford University Stanford CA US

3D RRAM arrays are studied at the device- and architecture-levels. The memory cell performance for a horizontal cross-point is shown experimentally to be essentially comparable to vertical pillar-around geometry. Array performances (read/write, energy, and speed) of different 3D architectures are investigated by SPICE simulation, showing horizontal stacked RRAM is superior but suffers from higher bit cost. Adopting a bi-layer pillar electrode structure is demonstrated to enlarge the array size in 3D vertical RRAM. Design guidelines are proposed for the 3D VRRAM: it shows that increasing the number of stacks of VRRAM while keeping the total bits the same, as well as scaling of feature size (F), are critical for reducing RC delay and energy consumption.

关键词： Delays computer architecture Three-dimensional displays Microprocessors Energy consumption Tin Resistance

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High-precision finite-element analysis of rubber bearing for base-isolation of building structures

High-precision finite-element analysis of rubber bearing for...

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4th International Conference on Computational Methods in Structural Dynamics and Earthquake engineering, COMPDYN 2013

作者： Ohsaki, Makoto Miyamura, Tomoshi Kohiyama, Masayuki Yamashita, Takuzo Yamamoto, Masashi Nakamura, Naohiro Department of Architecture Hiroshima University 1-4-1 Kagamiyama Higashi-Hiroshima 739-8527 Japan Department of Computer Science College of Engineering Nihon University 1 Nakagawara Tokusada Tamura Koriyama 963-8642 Japan Department of System Design Engineering Keio University 3-14-1 Hiyoshi Kohoku Yokohama 223-8522 Japan Hyogo Earthquake Eng. Res. Center National Res. Inst. for Earth Science and Disaster Prevention 1501-21 Nishikameyama Mitsuta Shijimi Miki 673-0515 Japan Construction Technology Department Takenaka Research and Development Institute 1-5-1 Ohtsuka Inzai 270-1395 Japan

ISBN: (纸本)9789609999427

Seismic response analysis is carried out for a base-isolated frame. The RC-frame members as well as the rubber bearings are discretized into hexahedral finite elements. The material properties of rubber are represented by the Ogden model, and the frame is assumed to remain in elastic range. The seismic response analysis of the frame, which has more than 3 million degrees of freedom is carried out using the E-Simulator, which is under development at E-Defense, Japan, based on a software package called ADVENTURECluster. It is shown that the global and local responses can be simultaneously evaluated through a high-precision finite element analysis.

关键词： Finite element method

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