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CEUR Workshop Proceedings 2017年 1826卷

作者： Kopp, Oliver Lenhard, Jörg Pautasso, Cesare University of Stuttgart Institute for Parallel and Distributed Systems Universitätsstraße 38 StuttgartDE70569 Germany Karlstad University Department of Mathematics and Computer Science Universitetsgatan 2 KarlstadSE65188 Sweden USI Faculty of Informatics Architecture Design and Web Information Systems Engineering Research Group Via Buffi 13 LuganoCH6900 Switzerland

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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Antwerp, Belgium. 15-20 July 2017 Abstracts

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 95-176页

作者： [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ

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26th Annual Computational Neuroscience Meeting (CNS*2017) of the Organization for Computational Neuroscience Antwerp, Belgium, July 15-20, 2017

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 59-59页

作者： [Anonymous] Indiana University Purdue University Indianapolis Indianapolis IN 46032 USA Stark Neurosciences Research Institute Indiana University School of Medicine Indianapolis IN 46032 USA Department of Mathematics East Carolina University Greenville NC 27858 USA Jülich Supercomputing Centre Forschungszentrum Jülich 52425 Jülich Germany Future Systems Swiss National Supercomputing Centre 8092 Zurich Switzerland User Engagement and Support Swiss National Supercomputing Centre 6900 Lugano Switzerland Institut de Neurosciences des Systèmes Aix Marseille Univ 13005 Marseille France Simulation Lab Neuroscience Forschungszentrum Jülich Jülich Germany Department of Experimental Psychology Ghent University 9000 Ghent Belgium Donders Center for Cognitive Neuroimaging Radboud University 6525HR Nijmegen The Netherlands Department of Electrical Computer and Energy Engineering University of Colorado Boulder CO 80309 USA Department of Neurosurgery Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Neurology Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Otolaryngology Johns Hopkins School of Medicine Baltimore MD 21287 USA INSERM U968 Paris France Sorbonne Universités UPMC University Paris 06 UMR_S 968 Institut de la Vision Paris France CNRS UMR_7210 Paris France Department of Computer Architecture and Technology University of Granada (CITIC) Granada Spain Sorbonne Universités UPMC Univ Paris 06 INSERM CNRS Institut de la Vision Paris France Department of Adaptive Machine Systems Osaka University Osaka Japan Department of Computer Science University of Cergy-Pontoise Cergy-Pontoise France Department of Physics and Astronomy College of Charleston Charleston SC 29424 USA School of Physics Faculty of Science University of Sydney Sydney NSW 2006 Australia Center of Excellence for Integrative Brain Function Australian Research Council Sydney Australia Max Planck Institute for Human Cognitive and Brain Sciences Saxony Lei

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A spaceborne WAS-GMTI mode based on azimuth multi-channels

A spaceborne WAS-GMTI mode based on azimuth multi-channels

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IET International Radar Conference 2015

作者： Zheng, Shichao Niu, Jianwei Wang, Hui Han, Xiaolei State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and Engineering Beihang University Beijing China Institute of Electronics Chinese Academy of Sciences Beijing China Beijing Institute of Spacecraft System Engineering Beijing China

ISBN: (纸本)9781849199940

In this paper, the spaceborne wide-area surveillance ground moving target indication (WAS-GMTI) mode is proposed. In the proposed mode, the requirement of detecting targets from different aspect angles with a high revisit rate can be achieved by modifying the TOPS mode which steers antenna in the azimuth direction. And a three-channel system is chosen to achieve fine GMTI performance. With the three-channel system, the detection of moving targets is realized by displaced phase center antenna (DPCA) technique and the motion parameter is estimated using the interferometric phase. The feasibility of the proposed mode as well as the performance of GMTI is validated by theoretical analysis and simulation experiments.

关键词： Synthetic aperture radar

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Can electric devices be identified from their signatures of waveform? 12

Can electric devices be identified from their signatures of ...

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2015 12th Annual IEEE Consumer Communications and Networking Conference, CCNC 2015

作者： Kushiro, Noriyuki Ide, Taichi Tomonaga, Kazuki Ogawa, Yuki Higuma, Toshiyasu Faculty of Computer Science and System Engineering Kyushu Institute of Technology KIT Iizuka Fukuoka Japan Living Environment Systems Laboratory Mitsubishi Electric Corp. Kamakura Kanagawa Japan

ISBN: (纸本)9781479963904

Life event sensor is an activity recognition sensor both for measuring electric power consumption and for detecting usage of electronic devices by utilizing a high frequency current waveform as a signature of each device. To discuss the feasibility of the sensor, we have constructed a long-term field data collection system and installed the system in five occupied houses. Discussion about feasibility of the life event sensor on long-term field data and experimental data on a test bed, which can simulate several conditions of power line, is described in this paper. © 2015 IEEE.

关键词： Information management

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Forwarding mechanism using prioritized forwarders for opportunistic routing

Forwarding mechanism using prioritized forwarders for opport...

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Asia-Pacific Network Operations and Management Symposium (APNOMS)

作者： Taku Yamazaki Ryo Yamamoto Takumi Miyoshi Takuya Asaka Yoshiaki Tanaka Department of Communications and Computer Engineering Waseda University Shinjuku-ku Tokyo Japan Global Information and Telecommunication Institute Waseda University Shinjuku-ku Tokyo Japan Graduate School of Informatics and Engineering The University of Electro-Communications Chofu-shi Tokyo Japan College of Systems Engineering and Science Shibaura Institute of Technology Saitama-shi Saitama Japan Faculty of System Design Tokyo Metropolitan University Hino-shi Tokyo Japan Waseda Daigaku Shinjuku-ku Tokyo JP

ISBN: (纸本)9781467390576

In ad hoc networks, backoff-based OR (opportunistic routing) protocols, which autonomously selects a forwarder among the potential forwarders based on a random backoff time, have been proposed. However, each potential forwarder must wait for the backoff time to avoid packet collisions among receivers. In addition, the terminal density strongly affects the performance since the backoff-based OR protocols improve the performance by using multiple terminals. In this paper, we propose a novel OR protocol called PRIOR (prioritized forwarding for opportunistic routing). In PRIOR, a terminal called prioritized forwarder, which forwards packets without using a backoff time, is selected among neighbours. In addition, we propose a hop-by-hop retransmission control that performs the retransmission terminal selection on the basis of a neighbour relation with the PFs. Moreover, we introduce an explicit acknowledgement mechanism on the basis of the difference of hop counts to alleviate the bad effect of the retransmission control in dense environments. Finally, we evaluate PRIOR in comparison with conventional backoff-based OR protocols in computer simulation.

关键词： Receivers Routing Ad hoc networks Routing protocols Maintenance engineering Wireless communication

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Minimax regret 1-sink location problem in dynamic path networks

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Theoretical computer Science 2015年 588卷 24-36页

作者： Higashikawa, Yuya Augustine, John Cheng, Siu-Wing Golin, Mordecai J. Katoh, Naoki Ni, Guanqun Su, Bing Xu, Yinfeng Department of Architecture and Architectural Engineering Kyoto University Japan Department of Computer Science and Engineering Indian Institute of Technology Madras India Department of Computer Science and Engineering The Hong Kong University of Science and Technology Hong Kong Business School Sichuan University Chengdu610065 China School of Economics and Management Xi'an Technological University Xi'an710032 China School of Management Xi'an Jiaotong University Xi'an710049 China State Key Lab for Manufacturing Systems Engineering Xi'an710049 China

This paper considers the minimax regret 1-sink location problem in dynamic path networks. In our model, a dynamic path network consists of an undirected path with positive edge lengths and uniform edge capacity, and each vertex supply which is nonnegative value is unknown but only the interval of supply is known. A particular assignment of supply to each vertex is called a scenario. Under any scenario, the cost of a sink location is defined as the minimum time to complete the evacuation for all supplies (evacuees), and the regret of a sink location x is defined as the cost of x minus the cost of the optimal sink location. Then, the problem is to find a point as a sink such that the maximum regret for all possible scenarios is minimized. We propose an O(nlog n) time algorithm for the minimax regret 1-sink location problem in dynamic path networks with uniform capacity, where n is the number of vertices in the network. © 2014 Elsevier B.V.

关键词： Costs

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STRAP: Stress-aware placement for aging mitigation in runtime reconfigurable architectures 15

STRAP: Stress-aware placement for aging mitigation in runtim...

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IEEE International Conference on computer-Aided Design

作者： Hongyan Zhang Michael A. Kochte Eric Schneider Lars Bauer Hans-Joachim Wunderlich Jörg Henkel Chair for Embedded Systems Karlsruhe Institute of Technology Karlsruhe Germany Institute of Computer Architecture and Computer Engineering University of Stuttgart Germany

ISBN: (纸本)9781467383899

Aging effects in nano-scale CMOS circuits impair the reliability and Mean Time to Failure (MTTF) of embedded systems. Especially for FPGAs that are manufactured in the latest technology node, aging is amajor concern. We introduce the first cross-layer aging-aware placement method for accelerators in FPGA-based runtime reconfigurable architectures. It optimizes stress distribution by accelerator placement at runtime, i.e. to which reconfigurable region an accelerator shall be reconfigured. Additionally, it optimizes logic placement at synthesis time to diversify the resource usage of individual accelerators, i.e. which CLBs of a reconfigurable region shall be used by an accelerator. Both layers together balance the intra- and inter-region stress induced by the application workload at negligible performance cost. Experimental results show significant reduction of maximum stress of up to 64% and 35%, which leads to up to 177% and 14% MTTF improvement relative to state-of-the-art methods w.r.t. HCI and BTI aging, respectively.

关键词： Stress Runtime Aging Transistors Table lookup Fabrics Field programmable gate arrays

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DIAS: A disassemble-assemble framework for highly sparse text clustering

DIAS: A disassemble-assemble framework for highly sparse tex...

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SIAM International Conference on Data Mining 2015, SDM 2015

作者： Liu, Hongfu Wu, Junjie Tao, Dacheng Zhang, Yuchao Fu, Yun Department of Electrical and Computer Engineering College of Engineering College of Computer and Information Science Northeastern University Boston United States School of Economics and Management Beihang University Beijing China Centre for Quantum Computation and Intelligent Systems Faculty of Engineering and Information Technology University of Technology Sydney 235 Jones Street UltimoNSW2007 Australia Beijing Institute of System Engineering Beijing China

ISBN: (纸本)9781510811522

Upon extensive studies, text clustering remains a critical challenge in data mining community. Even by various techniques proposed to overcome some of these challenges, there still exist problems when dealing with weakly related or even noisy features. In response to this, we propose a Dlssemble-ASsemble (DIAS) framework for text clustering. DIAS employs simple random feature sampling to disassemble high-dimensional text data and gains diverse structural knowledge. This also does good to avoiding the bulk of noisy features. Then the multi-view knowledge is assembled by weighted Information-theoretic Consensus Clustering (IC-C) in order to gain a high-quality consensus partitioning. Extensive experiments on eight real-world text data sets demonstrate the advantages of DIAS over other widely used methods. In particular, DIAS shows strengths in learning from very weak basic partitionings. In addition, it is the natural suitability to distributed computing that makes DIAS become a promising candidate for big text clustering. Copyright © SIAM.

关键词： Distributed computer systems

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A system for semi-automated management of blood loss during surgery: Preliminary results

A system for semi-automated management of blood loss during ...

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Health Innovations and POCT

作者： Philip Asare Mahmood Arifin Chowdhury Taimoore Rajah S. Mark Poler Mohammed Shah Peter Guion Jeffrey Martin Kevin Driscoll Qianhong Wu Andrew Mannes C. Nataraj Electrical and Computer Engineering Bucknell University Lewisburg PA USA Villanova University Biomedical Clinical Research Engineer at Department of Peri operative Medicine NIH Vice Chairman of Anesthesiology Geisinger Health System Danville PA USA Clinical Center at NIH Radiation Oncology at National Cancer Institute Department of Perioperative Medicine at NIH Mechanical Engineering at Villanova University Villanova Center for Analytics of Dynamic Systems Villanova University Villanova PA USA

ISBN: (纸本)9781509011674

This paper presents preliminary results from a pilot study for automated management of blood loss during surgery. The paper describes our approach in developing mathematical models for the cardiovascular system including blood loss and use of colloids for resuscitation. Further, adaptive models are synthesized and used for designing appropriate control algorithms. These algorithms are further integrated into a computerized platform that interfaces with medical devices such as monitors and pumps, which will be tested and validated in animal trials. The eventual development will be minimalist with an open architecture in order to enable easy adoption by others in the community.

关键词： Biomedical monitoring Blood Fluids Mathematical model Monitoring Electronic mail US Government agencies

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