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

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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The interplay between timeliness and scalability in cloud monitoring systems 20

The interplay between timeliness and scalability in cloud mo...

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20th IEEE Symposium on computers and Communication, ISCC 2015

作者： Da Cunha Rodrigues, Guilherme Calheiros, Rodrigo N. De Carvalho, Marcio Barbosa Paula Dos Santos, Carlos Raniery Granville, Lisandro Zambenedetti Tarouco, Liane Buyya, Rajkumar Computer Networks Group Institute of Informatics Federal University of Rio Grande Do sul Porto Alegre Brazil Laboratory Department of Computing and Information Systems University of Melbourne Australia Department of Applied Computing Federal University of Santa Maria Santa Maria Brazil

ISBN: (纸本)9781467371940

Cloud computing is a groundbreaking solution to acquire computational resources on demand. To deliver high quality cloud services and provide features such as reduced costs and availability to customers, a cloud, like any other computational system, needs to be properly managed in accordance with its characteristics (e.g., scalability, elasticity, timeliness). In this scenario, cloud monitoring is a key to achieve it. To properly work, cloud monitoring systems need to meet several requirements such as scalability, accuracy, and timeliness. This paper aims to unveil the trade-off between timeliness and scalability. Evaluations demonstrate the mutual influence between scalability and timeliness based on monitoring parameters (e.g., monitoring topologies, frequency sampling). Results show that non-deep monitoring topologies and decreasing the frequency sampling assist to reduce the mutual influence between timeliness and scalability. © 2015 IEEE.

关键词： Elasticity

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SyncSync: Time-of-arrival based localization method using light-synchronized acoustic waves for smartphones

SyncSync: Time-of-arrival based localization method using li...

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International Conference on Indoor Positioning and Indoor Navigation (IPIN)

作者： Takayuki Akiyama Masanori Sugimoto Hiromichi Hashizume Department of Informatics The Graduate University for Advanced Studies Tokyo Japan Department of Computer Science Hokkaido University Sapporo Japan Information Systems Architecture National Institute of Informatics Tokyo Japan

In this paper we describe SyncSync, a novel time-of-arrival (ToA) localization method for smartphones. ToA measurements generally show better precision than time-difference-of-arrival measurements, but ToA systems require a synchronization mechanism between anchor and mobile nodes. For this synchronization, we employ modulated light with an acoustic signal for the time-of-flight distance measurement. These are detected by the smartphone's video camera and microphone. The time resolution in consumer video cameras is typically only a few tenths of a second, but by utilizing a CMOS image sensor's rolling shutter effect we obtain synchronization resolutions of a few microseconds, sufficient for precise acoustic ToA measurement. Experiments confirm operation of the system with localization errors within 10 mm.

关键词： Synchronization Light emitting diodes Smart phones Acoustic measurements Acoustics Cameras CMOS image sensors

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A Privacy Preserving Truthful Spectrum Auction Scheme using Homomorphic Encryption

A Privacy Preserving Truthful Spectrum Auction Scheme using ...

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IEEE Global Communications Conference

作者： Xiaoyan Wang Yusheng Ji Hao Zhou Zhi Liu Yu Gu Jie Li Information Systems Architecture Science Research Division National Institute of Informatics School of Computer Science University of Science and Technology of China Global Information and Telecommunication Institute Waseda University School of Computer and Information Hefei University of Technology Faculty of Engineering Information and Systems University of Tsukuba

ISBN: (纸本)9781479959532

Dynamic spectrum reallocation, under which the spectrum owners temporarily share the underutilized spectrum to secondary users for economic profit, is an important approach to improve the spectrum utilization ratio. Auction is believed to be a natural marketing tool to incentivize the spectrum owners, and thus redistribute the idle spectrum efficiently. Extensive researches have been done in the problem of truthful spectrum auction, in which the bidders bid based on their true valuations of the spectrum. The true valuation of the individual bidder, however, is a private information which should be protected against exposure. In this paper, we propose a privacy preserving truthful spectrum auction scheme by utilizing homomorphic encryption. The proposed scheme reveals the group bids but hides the users' bids even from the auctioneer. The evaluation results show that the proposed scheme achieves good spectrum utilization efficiency with low communication and computation overheads.

关键词： Spectra spectrum utilization efficiency Homomorphic encryption Privacy Scheme

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N-soliton interactions: Effects of linear and nonlinear gain and loss

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AIP Conference Proceedings 2017年第1期1895卷

作者： R. Carretero-González V. S. Gerdjikov M. D. Todorov 1Nonlinear Dynamical Systems Group Computational Sciences Research Center and Department of Mathematics and Statistics San Diego State University San Diego CA 92182-7720 USA 2Institute of Mathematics and Informatics Bulgarian Academy of Sciences 8 Acad. G. Bonchev str. 1113 Sofia Bulgaria 3Institute for Advanced Physical Studies New Bulgarian University 21 Montevideo str. 1618 Sofia Bulgaria 4Department of Applied Mathematics and Computer Science Technical University of Sofia 8 Kliment Ohridski Blvd. 1000 Sofia Bulgaria

We analyze the dynamical behavior of the N-soliton train in the adiabatic approximation of the nonlinear Schrödinger equation perturbed simultaneously by linear and nonlinear gain/loss terms. We derive the corresponding perturbed complex Toda chain in the case of a combination of linear, cubic, and/or quintic terms. We show that the soliton interactions dynamics for this reduced PCTC model compares favorably to full numerical results of the original perturbed nonlinear Schrödinger equation.

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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 1

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BMC Neurosci 2017年第SUPPL 1期18卷 58-58页

作者： Sue Denham Panayiota Poirazi Erik De Schutter Karl Friston Ho Ka Chan Thomas Nowotny Dongqi Han Sungho Hong Sophie Rosay Tanja Wernle Alessandro Treves Sarah Goethals Romain Brette Tomas Van Pottelbergh Rodolphe Sepulchre Alex D. Bird Hermann Cuntz Pedro J. Gonçalves Jan-Matthis Lueckmann Giacomo Bassetto Marcel Nonnenmacher Jakob H. Macke Audrey J. Sederberg Jason N. MacLean Stephanie E. Palmer Ulisse Ferrari Christophe Gardella Olivier Marre Thierry Mora Emina Ibrahimovic Martin Müller Jean-Pascal Pfister Tushar Chauhan Timothée Masquelier Alexandre Montlibert Benoit R. Cottereau Moritz Helias Jannis Schuecker David Dahmen Sven Goedeke Alexandre Hyafil Ainhoa Hermoso-Mendizabal Pavel E. Rueda-Orozco Santiago Jaramillo David Robbe Jaime de la Rocha Marie Rooy Fani Koukouli David DiGregorio Uwe Maskos Boris Gutkin Andrey Yu Verisokin Darya V. Verveyko Dmitry E. Postnov Willy Wong Omid Talakoub Robert Chen Milos Popovic Dmitriy Lisitsyn Eric Drebitz Iris Grothe Sunita Mandon Andreas Kreiter Udo Ernst Peter A. Robinson Xuelong Zhao Kevin M. Aquino John D. Griffiths Grishma Mehta-Pandejee Natasha Gabay James MacLaurin Somwrita Sarkar Tim Kunze Jens Haueisen Thomas R. Knösche Subutai Ahmad Yuwei Cui Marcus Lewis Jeff Hawkins Simona Olmi Spase Petkoski Fabrice Bartolomei Maxime Guye Viktor Jirsa Hazem Toutounji Daniel Durstewitz Matteo Cantarelli Adrian Quintana Boris Marin Matt Earnshaw Padraig Gleeson Robert Court Robert McDougal R. Angus Silver Salvador Dura-Bernal Stephen Larson William W. Lytton Giovanni Idili Lorenzo Posani Simona Cocco Karel Ježek Rémi Monasson School of Psychology Faculty of Health & Human Sciences Plymouth University Plymouth Devon PL4 8AA UK Institute of Molecular Biology and Biotechnology (IMBB) Foundation for Research and Technology-Hellas (FORTH) Heraklion Crete Greece Okinawa Institute of Science and Technology Graduate University Okinawa Japan Wellcome Trust Centre for Neuroimaging Institute of Neurology UCL London WC1N 3BG UK School of Engineering and Informatics University of Sussex Brighton BN1 9QJ UK Graduate School Okinawa Institute of Science and Technology Okinawa 904-0495 Japan Computational Neuroscience Unit Okinawa Institute of Science and Technology Okinawa 904-0495 Japan Cognitive Neuroscience Area Scuola Internazionale Superiore di Studi Avanzati Trieste 34136 Italy Kavli Institute for Systems Neuroscience NTNU Trondheim 7030 Norway Institut de la Vision Sorbonne Universités UPMC Univ Paris 06 INSERM CNRS Paris 75012 France Department of Engineering University of Cambridge Cambridge Cambridgeshire CB2 1PZ UK Ernst Strüngmann Institute for Neuroscience Max Planck Society Frankfurt Germany Frankfurt Institute for Advanced Studies Frankfurt Germany Neural Systems Analysis Research Center Caesar An Associate of the Max Planck Society Bonn Germany Max Planck Institute for Biological Cybernetics Tübingen Germany Bernstein Center for Computational Neuroscience Tübingen Germany Present Address: Biomedical Engineering Department Georgia Institute of Technology Atlanta GA 30306 USA Department of Neurobiology University of Chicago Chicago IL 60637 USA Department of Organismal Biology and Anatomy University of Chicago Chicago IL 60637 USA Committee on Computational Neuroscience University of Chicago Chicago IL 60637 USA Institut de la Vision Sorbonne Universités INSERM Paris France Laboratoire de Physique Statistique Ecole Normale Supérieure Paris France Institute of Molecular Life Sciences University of Zürich 8057 Zürich Switzerland Institute of Neuroinformatics Univer

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DASI: A truthful double auction mechanism for secure information transfer in cognitive radio networks

DASI: A truthful double auction mechanism for secure informa...

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IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks (SECON)

作者： Xiaoyan Wang Yusheng Ji Hao Zhou Jie Li Information Systems Architecture Science Research Division National Institute of Informatics Tokyo Japan School of Computer Science University of Science and Technology of China Hefei Anhui China Faculty of Engineering Information and Systems University of Tsukuba Tsukuba Science City Japan

This paper investigates the secure information transfer issue for cognitive radio networks that have multiple non-altruistic primary users, secondary users and eavesdroppers. The design objective is to improve the secrecy rates of the primary users, and create the transmission opportunities for the secondary users. To achieve this goal, we propose to incentivize the non-altruistic users to cooperate by a barter-like exchange. Specifically, the primary users leverage the assist of the secondary users in the form of cooperative transmitting or friendly jamming, and in return, yield certain licensed spectrum accessing time to the aided secondary users. We propose a truthful Double Auction mechanism for Secure Information transfer in cognitive radio networks, namely DASI, to jointly formulate the cooperator/jammer assignment and the corresponding resource allocation problems. We prove that DASI preserves nice economic properties that are critical for the auction design, including truthfulness, individual rationality and budget balance. We also evaluate DASI in terms of aggregated throughput and spectrum utilization ratio by simulations.

关键词： Economics Jamming Resource management Quality of service Security Conferences Sensors

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The Interplay Between Timeliness and Scalability in Cloud Monitoring systems

The Interplay Between Timeliness and Scalability in Cloud Mo...

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IEEE Symposium on computers and Communication

作者： Guilherme da Cunha Rodrigues Rodrigo N. Calheiros Marcio Barbosa de Carvalho Carlos Raniery Paula dos Santos Lisandro Zambenedetti Granville Liane Tarouco Rajkumar Buyya Computer Networks Group Institute of Informatics Federal University of Rio Grande do Sul Cloud Computing and Distributed Systems (CLOUDS) Laboratory Department of Computing and Information Systems The University of Melbourne Department of Applied Computing Federal University of Santa Maria

ISBN: (纸本)9781467371957

关键词： Scalability CLOUDS Clouds monitoring systems Monitoring parameters Cloud Computing

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Towards a Multi-objective VM Reassignment for Large Decentralised Data Centres 15

Towards a Multi-objective VM Reassignment for Large Decentra...

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IEEE International Conference on Utility and Cloud Computing (UCC)

作者： Takfarinas Saber Anthony Ventresque Ivona Brandic James Thorburn Liam Murphy University College School of Computer Science and Informatics Dublin Ireland IBM Research Damastown Industrial Estate Dublin Ireland Institute of Information Systems Vienna University of Technology Vienna Austria IBM Software Group Toronto Canada

ISBN: (纸本)9780769556970

Optimising the IT infrastructure of large, often geographically distributed, organisations goes beyond the classical virtual machine reassignment problem, for two reasons: (i) the data centres of these organisations are composed of a number of hosting departments which have different preferences on what to host and where to host it, (ii) the top-level managers in these data centres make complex decisions and need to manipulate possible solutions favouring different objectives to find the right balance. This challenge has not yet been comprehensively addressed in the literature and in this paper we demonstrate that a multi-objective VM reassignment is feasible for large decentralised data centres. We show on a realistic data set that our solution outperforms other classical multi-objective algorithms for VM reassignment in terms of quantity of solutions (by about 15% on average) and quality of the solutions set (by over 6% on average).

关键词： Optimization Reliability Servers Electronic mail Virtual machining Companies Cloud computing

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Designing Efficient Elliptic Curve Diffie-Hellman Accelerators for Embedded systems

Designing Efficient Elliptic Curve Diffie-Hellman Accelerato...

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IEEE International Symposium on Circuits and systems

作者： Apostolos P. Fournaris Ioannis Zafeirakis Christos Koulamas Nicolas Sklavos Odysseas Koufopavlou Industrial Systems Institute (ISI) / R.C."ATHENA" Patras Science Park Platani Patra Greece Electrical and Computer Engineering Department University of Patras Rion Campus Patra Greece KNOSSOSnet Research Group Computer Informatics Engineering Department Technological Educational Institute of Western Greece Antirion Patra Greece

ISBN: (纸本)9781479983926

In this paper, a methodology towards a hardware/software implementation of an Elliptic Curve Diffie Hellman (ECDH) scheme is proposed in an effort to overcome the design problems of Elliptic Curve Cryptography (ECC) systems stemming from the highly constrained embedded system hardware and software environment (restricted RAM, storage and processing power). To achieve that, instead of the excessively slow software ECDH implementations or monolithic, not flexible hardware implementations, we propose the use of a flexible, scalar multiplication (SM) accelerator connected to the main embedded system processor in order to speed up ECDH functionality without downgrading the overall main processor performance. The proposed solution can be used for a wide variety of GF(2~k) based Elliptic Curves (EC) and is capable of shifting from one EC to another EC at runtime (flexibility). The proposed architecture was implemented and tested in Xilinx Virtex 5 technology by realizing the proposed SM accelerator unit interconnected with a Xilinx microblaze softcore processor.

关键词： Embedded systems Elliptic curves design problems Accelerators Curves PROCESSOR host processor Processor Performance

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