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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 probabilistic paging technique for location management in PCS networks 9

A probabilistic paging technique for location management in ...

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2014 9th IEEE International Conference on computer Engineering and systems, ICCES 2014

作者： Mohamed, Amr A. Ali-Eldin, Amr M.T. Saleh, Ahmed I. North of Delta for Electricity Distribution Company Ministry of Electricity and Energy Mansoura Egypt Computer and Control Systems Department Faculty of Engineering Mansoura University Egypt

ISBN: (纸本)9781479965946

Location management (LM) is how to find a mobile terminal (MT) current location on the move. Location update (LU) and paging must be maintained efficiently to minimize location management cost in personal communication service networks (PCS networks). In this paper we introduce a new location update and paging techniques, the location update is concerned with location tracking which is based on geographical position of the mobile terminal with time aspects. The locations are saved in the mobile cache in means of cell ID and time interval, the tracking process is totally managed by the MT's current visitor location register (VLR), the location data is transferred from the mobile cache to the VLR when the mobile terminal crosses a pre-defined number of cells, or when a pre-defined number of time intervals is reached. The paging is done according to probability of existence for the mobile terminal to the location data saved in VLR. The proposed techniques in this paper reduce location management cost compared to existed location management methods. © 2014 IEEE.

关键词： Location

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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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Resource Usage Prediction Algorithms for Optimal Selection of Multimedia Content Delivery Methods

Resource Usage Prediction Algorithms for Optimal Selection o...

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IEEE International Conference on Communications

作者： Yiannos Kryftis Constandinos X. Mavromoustakis Joel J. P. C. Rodrigues George Mastorakis Evangelos Pallis Ciprian Dobre Jordi Mongay Batalla Georgios Kormentzas Department of Computer Science University of Nicosia Department of Informatics Instituto de Telecomunicacoes University of Beira Interior Portugal and University ITMO Department of Informatics Engineering Technological Educational Institute of Crete Faculty of Autonomic Control and Computers University Politehnica of Bucharest National Institute of Telecommunications Department of Information and Communication Systems Engineering University of the Aegean

ISBN: (纸本)9781467364300

This paper proposes two algorithms adopted in a prototype network architecture, for optimal selection of multimedia content delivery methods, as well as balanced delivery load, by exploiting a novel resource prediction engine. The proposed architecture exploits both algorithms for the prediction of future multimedia services demands, by providing the ability to keep optimal the distribution of the streaming data, among Content Delivery Networks, cloud-based providers and Home Media Gateways. In addition, the prediction of the upcoming fluctuations of the network, provides the ability to the proposed network architecture, achieving optimized Quality of Service (QoS) and Quality of Experience (QoE) for the end users. Both algorithms were evaluated to establish their efficiency, towards effectively predicting future network traffic demands. The experimental results validated their performance and indicated fields for further research and experimentation.

关键词： Resource Prediction Engine Resource Usage Prediction Algorithms Content Delivery Networks Multimedia Services systems

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Modeling of loss processes arising from packet flows at bottleneck links

Modeling of loss processes arising from packet flows at bott...

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Lecture Notes in computer Science

作者： Markovich, Natalia M. Krieger, Udo R. Institute of Control Sciences Russian Academy of Sciences 117997 Moscow Russia Faculty Information Systems and Applied Computer Science Otto-Friedrich-University D-96047 Bamberg Germany

ISBN: (纸本)9783319053585

Packet video and voice are the dominant traffic sources in today's Internet. Numerous studies have dealt with the influence of packet loss on video and voice quality. We elaborate on the root causes of packet loss in the Internet and show by statistical methods how that affects the quality of transmitted real-time data. We evaluate the mean number of lost packets and the distribution of bit loss as quality indices of packet transmission at a bottleneck link with insufficient bandwidth. The latter information regarding the risk to lose packets for a known bandwidth of a bottleneck link can be transferred to customers. © 2014 Springer International Publishing.

关键词： Bandwidth

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Corrigendum to `Parallel machine scheduling and common due window assignment with job independent earliness and tardiness costs' [Information Sciences, 224 (2013) 109–117]

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Information Sciences 2016年 357卷 217-217页

作者： Adam Janiak Władysław Janiak Mikhail Y. Kovalyov Erhan Kozan Erwin Pesch Institute of Computer Engineering Control and Robotics Wroclaw University of Technology 11/17 Janiszewskiego Str. 50-372 Wroclaw Poland Faculty of Computer Science and Management Wroclaw University of Technology 5 Lukasiewicza Str. 50-373 Wroclaw Poland United Institute of Informatics Problems National Academy of Sciences of Belarus Surganova 6 2200120 Minsk Belarus School of Mathematical Sciences QUT GPO Box 2434 Brisbane Qld 4001 Australia Institute of Information Systems University of Siegen 57068 Siegen Germany

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Do not cancel my race with cyber-physical systems 19

Do not cancel my race with cyber-physical systems

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19th IFAC World Congress on International Federation of Automatic control, IFAC 2014

作者： Zamfirescu, Constantin B. Pirvu, Bogdan-Constantin Loskyll, Matthias Zuehlke, Detlef Innovative Factory Systems Trippstadter Strasse 122 Kaiserslautern Germany Lucian Blaga University of Sibiu Faculty of Engineering Department of Computer Science and Automatic Control Emil Cioran 17 Sibiu Romania

ISBN: (纸本)9783902823625

To engineer the factory of the future the paper argues for a reference model that is not necessary restricted to the control component, but integrates the physical and human components as well. This is due to the real need to accommodate the latest achievements in factory automation where the human is not merely playing a simple and clear role inside the control-loop, but is becoming a composite factor in a highly automated system ("man in the mesh"). The concept is demonstrated by instantiating the anthropocentric cyber-physical reference architecture for smart factories (ACPA4SF) in a concrete case study that needs to accommodate the ongoing researches from the SmartFactoryKL facility (e.g. augmented reality, mobile interaction technology, virtual training of human operators). © IFAC.

关键词： Embedded systems

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The status of KAGRA underground cryogenic gravitational wave telescope

arXiv

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arXiv 2017年

作者： Akutsu, T. Ando, M. Araya, A. Aritomi, N. Asada, H. Aso, Y. Atsuta, S. Awai, K. Barton, M.A. Cannon, K. Craig, K. Creus, W. Doi, K. Eda, K. Enomoto, Y. Flaminio, R. Fujii, Y. Fujimoto, M.-K. Furuhata, T. Haino, S. Hasegawa, K. Hashino, K. Hayama, K. Hirobayashi, S. Hirose, E. Hsieh, B.H. Inoue, Y. Ioka, K. Itoh, Y. Kaji, T. Kajita, T. Kakizaki, M. Kamiizumi, M. Kambara, S. Kanda, N. Kanemura, S. Kaneyama, M. Kang, G. Kasuya, J. Kataoka, Y. Kawai, N. Kawamura, S. Kim, C. Kim, H. Kim, J. Kim, Y. Kimura, N. Kinugawa, T. Kirii, S. Kitaoka, Y. Kojima, Y. Kokeyama, K. Komori, K. Kotake, K. Kumar, R. Lee, H. Lee, H. Liu, Y. Luca, N. Majorana, E. Mano, S. Marchio, M. Matsui, T. Matsushima, F. Michimura, Y. Miyakawa, O. Miyamoto, T. Miyamoto, A. Miyo, K. Miyoki, S. Morii, W. Morisaki, S. Moriwaki, Y. Morozumi, T. Musha, M. Nagano, S. Nagano, K. Nakamura, K. Nakamura, T. Nakano, H. Nakano, M. Nakao, K. Narikawa, T. Nguyen Quynh, L. Ni, W.-T. Ochi, T. Oh, J. Oh, S. Ohashi, M. Ohishi, N. Ohkawa, M. Okutomi, K. Oohara, K. Peña Alleano, F.E. Pinto, I. Sago, N. Saijo, M. Saito, Y. Sakai, K. Sakai, Y. Sasaki, Y. Sasaki, M. Sato, S. Sato, T. Sekiguchi, Y. Seto, N. Shibata, M. Shimoda, T. Shinkai, H. Shoda, A. Somiya, K. Son, E. Suemasa, A. Suzuki, T. Suzuki, T. Tagoshi, H. Takahashi, H. Takahashi, R. Takamori, A. Takeda, H. Tanaka, H. Tanaka, K. Tanaka, T. Tatsumi, D. Tomaru, T. Tomura, T. Travasso, F. Tsubono, K. Tsuchida, S. Uchikata, N. Uchiyama, T. Uehara, T. Ueki, S. Ueno, K. Ushiba, T. van Putten, M.H.P.M. Vocca, H. Wada, S. Wakamatsu, T. Yamada, T. Yamamoto, S. Yamamoto, T. Yamamoto, K. Yamamoto, A. Yokoyama, J. Yokozawa, T. Yoon, T.H. Yuzurihara, H. Zeidler, S. Zhu, Z.-H. National Astronomical Observatory of Japan Mitaka Tokyo181-8588 Japan Department of Physics University of Tokyo Bunkyo Tokyo113-0033 Japan Earthquake Research Institute University of Tokyo Bunkyo Tokyo113-0032 Japan Department of Advanced Physics Hirosaki University Hirosaki Aomori036-8561 Japan National Astronomical Observatory of Japan Hida Gifu506-1205 Japan Department of Physics Tokyo Institute of Technology Meguro Tokyo152-8551 Japan Institute for Cosmic Ray Research University of Tokyo Hida Gifu506-1205 Japan Research Center for the Early Universe University of Tokyo Bunkyo Tokyo113-0033 Japan Institute for Cosmic Ray Research University of Tokyo Kashiwa Chiba277-8582 Japan Institute of Physics Academia Sinica Nankang Taipei11529 Taiwan Department of Physics University of Toyama Toyama Toyama930-8555 Japan Faculty of Engineering University of Toyama Toyama Toyama930-8555 Japan Yukawa Institute for Theoretical Physics Kyoto University Sakyo Kyoto606-8502 Japan Department of Physics Osaka City University Sumiyosi Osaka558-8585 Japan Department of Physics Osaka University Toyonaka Osaka560-0043 Japan Korea Institute of Science and Technology Information Yuseong Daejeon34141 Korea Republic of Daejeon Yuseong34055 Korea Republic of National Institute for Mathematical Sciences Daejeon34047 Korea Republic of Department of Computer Simulation Inje University Gimhae Gyeongsangnam50834 Korea Republic of Department of Physics and Astronomy Seoul National University Seoul151-742 Korea Republic of High Energy Accelerator Research Organization Tsukuba Ibaraki305-0801 Japan Department of Physical Science Hiroshima University Higashihiroshima Hiroshima903-0213 Japan Department of Applied Physics Fukuoka University Jonan Fukuoka814-0180 Japan Department of Advanced Materials Science University of Tokyo Kashiwa Chiba277-8582 Japan Istituto Nazionale di Fisica Nucleare Sapienza University Roma00185 Italy D

KAGRA is a 3-km interferometric gravitational wave telescope located in the Kamioka mine in Japan. It is the first km-class gravitational wave telescope constructed underground to reduce seismic noise, and the first km-class telescope to use cryogenic cooling of test masses to reduce thermal noise. The construction of the infrastructure to house the interferometer in the tunnel, and the initial phase operation of the interferometer with a simple 3-km Michelson configuration have been completed. The first cryogenic operation is expected in 2018, and the observing runs with a full interferometer are expected in 2020s. The basic interferometer configuration and the current status of KAGRA are described. Copyright © 2017, The Authors. All rights reserved.

关键词： Interferometers

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Multilingual information delivery based on a domain ontology 14

Multilingual information delivery based on a domain ontology

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15th International Conference on computer systems and Technologies, CompSysTech 2014

作者： Paulins, Nauris Arhipova, Irina Balina, Signe Department of Computer Systems Faculty of Information Technologies Latvia University of Agriculture Jelgava Latvia Department of Control System Faculty of Information Technologies Latvia University of Agriculture Jelgava Latvia University of Latvia Faculty of Economics and Management Aspazijas Blvd. 5 Riga Latvia

ISBN: (纸本)9781450327534

As internationalisation becomes more and more intensive, organizations need to work with information in different languages in their work. Interlingua content delivery in e-learning courses could be effective learning content adaption method for delivering information for much wider audience. This paper suggests high-level framework for multilingual learning content delivery. This approach is based on a domain ontology, which allows to annotate and retrieve learning resources in a language independent way. Such method can improve accessibility, sharing and reuse of multilingual learning content. Copyright © 2014 ACM.

关键词： Ontology

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Urysohn measure driven integral equations in the space of bounded variation functions and applications

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AIP Conference Proceedings 2016年第1期1773卷

作者： G. Dimitriu B. Satco 1Department of Mathematics and Informatics Grigore T. Popa University of Medicine and Pharmacy Universităţii 16 Iaşi 700115 Romania 2Faculty of Electrical Engineering and Computer Science Ştefan cel Mare University of Suceava Universităţii 13 Suceava 720229 Romania 3Integrated Center for Research Development and Innovation in Advanced Materials Nanotechnologies and Distributed Systems for Fabrication and Control (MANSiD) Ştefan cel Mare University Suceava Romania

Motivated by the fact that bounded variation (often discontinuous) functions frequently appear when studying integral equations that describe physical phenomena, we focus on the existence of bounded variation solutions for Urysohn integral measure driven equations. Due to numerous applications of Urysohn integral equations in various domains, problems of this kind have been extensively studied in literature, under more restrictive assumptions. Our approach concerns the framework of Kurzweil-Stieltjes integration, which allows the occurrence of high oscillatory features on the right hand side of the equation. A discussion about interesting consequences of our main result (given by particular cases of the measure driving the equation) is presented. Finally, we show the generality of our results by investigating two examples of impulsive type problems (from both theoretical and numerical perspective) and giving an application in electronics industry concerning polarization properties of ferroelectric materials.

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