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IEEE Conference on Vehicular Technology (VTC)

作者： Shaojie Zhang Abdelhakim Hafid Zhuo Wang Haitao Zhao Shan Wang School of Electric Science and Engineering National University of Defense Technology P. R. China Science and Technology on Information Transmission and Dissemination in Communication Networks Lab Department of Computer Science and Operations Research University of Montreal Canada International School Beijing University of Posts and Telecommunications P. R. China

In multi-channel cognitive radio networks, it is important to investigate the sensing-throughput tradeoff from cross-layer perspective. Jointly considering imperfect spectrum sensing in physical layer and multi-channel access contention in MAC layer, we reformulate this tradeoff via taking the interference probability, rather than the detection probability, as the optimization constraint. And we further obtain the optimal sensing duration and detection threshold depending on the number of available channels to maximize the secondary throughput under the interference probability constraint. Numerical results show that the proposed cross-layer method can improve the secondary throughput performance significantly.

关键词： Throughput Interference Cognitive radio Optimization Bandwidth Radiation detectors

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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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Temporally Consistent Snow Cover Estimation from Noisy, Irregularly Sampled Measurements

Temporally Consistent Snow Cover Estimation from Noisy, Irre...

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International Conference on computer Vision Theory and Applications

作者： Dominic Rüfenacht Matthew Brown Jan Beutel Sabine Süsstrunk School of Computer and Communication Sciences EPFL Lausanne Switzerland Department of Computer Science University of Bath Bath U.K. Computer Engineering and Networks Lab ETH Zurich Zurich Switzerland

ISBN: (纸本)9781479976867

We propose a method for accurate and temporally consistent surface classification in the presence of noisy, irregularly sampled measurements, and apply it to the estimation of snow coverage over time. The input imagery is extremely challenging, with large variations in lighting and weather distorting the measurements. Initial snow cover estimations are obtained using a Gaussian Mixture Model of color. To achieve a temporally consistent snow cover estimation, we use a Markov Random Field that penalizes rapid fluctuations in the snow state, and show that the penalty term needs to be quite large, resulting in slow reactivity to changes. We thus propose a classifier to separate good from uninformative images, which allows to use a smaller penalty term. We show that the incorporation of domain knowledge to discard uninformative images leads to better reactivity to changes in snow coverage as well as more accurate snow cover estimations.

关键词： Surface Classification Gaussian Mixture Models of Color Markov Random Fields

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LifeTime and improving European healthcare through cell-based interceptive medicine (vol 587, pg 377, 2020)

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NATURE 2021年第7852期592卷 E8-E8页

作者： Rajewsky, Nikolaus Almouzni, Genevieve Gorski, Stanislaw A. Aerts, Stein Amit, Ido Bertero, Michela G. Bock, Christoph Bredenoord, Annelien L. Cavalli, Giacomo Chiocca, Susanna Clevers, Hans De Strooper, Bart Eggert, Angelika Ellenberg, Jan Fernandez, Xose M. Figlerowicz, Marek Gasser, Susan M. Hubner, Norbert Kjems, Jorgen Knoblich, Jurgen A. Krabbe, Grietje Lichter, Peter Linnarsson, Sten Marine, Jean-Christophe Marioni, John C. Marti-Renom, Marc A. Netea, Mihai G. Nickel, Dorthe Nollmann, Marcelo Novak, Halina R. Parkinson, Helen Piccolo, Stefano Pinheiro, Ines Pombo, Ana Popp, Christian Reik, Wolf Roman-Roman, Sergio Rosenstiel, Philip Schultze, Joachim L. Stegle, Oliver Tanay, Amos Testa, Giuseppe Thanos, Dimitris Theis, Fabian J. Torres-Padilla, Maria-Elena Valencia, Alfonso Vallot, Celine van Oudenaarden, Alexander Vidal, Marie Voet, Thierry Berlin Institute for Medical Systems Biology Max Delbrück Center for Molecular Medicine in the Helmholtz Association Berlin Germany Charité-Universitätsmedizin Berlin Germany Berlin Institute of Health (BIH) Berlin Germany German Center for Cardiovascular Research (DZHK) Partner Site Berlin Berlin Germany Institute for Biology Humboldt University of Berlin Berlin Germany Cardiovascular and Metabolic Sciences Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC) Berlin Germany Department of Pediatric Oncology/Hematology Charité-Universitätsmedizin Berlin Berlin Germany Institut Curie CNRS PSL Research University Sorbonne Université Nuclear Dynamics Unit Equipe Labellisée Ligue contre le cancer Paris France VIB Center for Brain and Disease Research Leuven Belgium Department of Human Genetics KU Leuven Leuven Belgium Department of Neurosciences KU Leuven Leuven Belgium UK Dementia Research Institute at UCL University College London London UK Wellcome Sanger Institute Wellcome Genome Campus Cambridge UK Department of Immunology Weizmann Institute of Science Rehovot Israel Centre for Genomic Regulation (CRG) Barcelona Institute of Science and Technology Barcelona Spain CNAG-CRG Centre for Genomic Regulation Barcelona Institute of Science and Technology Barcelona Spain Universitat Pompeu Fabra Barcelona Spain ICREA Barcelona Spain CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences Vienna Austria Department of Laboratory Medicine Medical University of Vienna Vienna Austria Ludwig Boltzmann Institute for Rare and Undiagnosed Diseases Vienna Austria Department of Medical Humanities Julius Center for Health Sciences and Primary Care University Medical Center Utrecht Utrecht The Netherlands Institute of Human Genetics UMR 9002 CNRS and University of Montpellier Montpellier France Department of Experimental Oncology IEO European Institute of Oncology IRCCS Milan Italy Department of Oncology and Hemato

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25th Annual Computational Neuroscience Meeting CNS-2016, Seogwipo City, South Korea, July 2-7, 2016 Abstracts

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BMC NEUROSCIENCE 2016年第1期17卷 1-112页

作者： [Anonymous] Computational Neurobiology Laboratory The Salk Institute for Biological Studies San Diego USA UNIC CNRS Gif sur Yvette France The European Institute for Theoretical Neuroscience (EITN) Paris France ATR Computational Neuroscience Laboratories Kyoto Japan Krembil Research Institute University Health Network Toronto Canada Department of Physiology University of Toronto Toronto Canada Department of Medicine (Neurology) University of Toronto Toronto Canada Department of Physics University of New Hampshire Durham USA Department of Neurophysiology Nencki Institute of Experimental Biology Warsaw Poland Department of Theory Wigner Research Centre for Physics of the Hungarian Academy of Sciences Budapest Hungary Department of Mathematical Sciences KAIST Daejoen Republic of Korea Department of Mathematics University of Houston Houston USA Department of Biochemistry & Cell Biology and Institute of Biosciences and Bioengineering Rice University Houston USA Department of Biology and Biochemistry University of Houston Houston USA Grupo de Neurocomputación Biológica Dpto. de Ingeniería Informática Escuela Politécnica Superior Universidad Autónoma de Madrid Madrid Spain Department of Biological Sciences University of Southern California Los Angeles USA Center for Neuroscience Korea Institute of Science and Technology Seoul South Korea Department of Neurology Albert Einstein College of Medicine Bronx USA Center for Neuroscience KIST Seoul South Korea Department of Neuroscience University of Science and Technology Daejon South Korea Systems Neuroscience Group QIMR Berghofer Medical Research Institute Herston Australia Department of Psychology Yonsei University Seoul South Korea Department of Psychiatry Kyung Hee University Hospital at Gangdong Seoul South Korea Department of Psychiatry Veterans Administration Boston Healthcare System and Harvard Medical School Brockton USA Department of Electrical and Electronic Engineering The University of Melbourne Parkvil

A1 Functional advantages of cell-type heterogeneity in neural circuits Tatyana O. Sharpee A2 Mesoscopic modeling of propagating waves in visual cortex Alain Destexhe A3 Dynamics and biomarkers of mental disorders Mitsuo Kawato F1 Precise recruitment of spiking output at theta frequencies requires dendritic h-channels in multi-compartment models of oriens-lacunosum/moleculare hippocampal interneurons Vladislav Sekulić, Frances K. Skinner F2 Kernel methods in reconstruction of current sources from extracellular potentials for single cells and the whole brains Daniel K. Wójcik, Chaitanya Chintaluri, Dorottya Cserpán, Zoltán Somogyvári F3 The synchronized periods depend on intracellular transcriptional repression mechanisms in circadian clocks. Jae Kyoung Kim, Zachary P. Kilpatrick, Matthew R. Bennett, Kresimir Josić O1 Assessing irregularity and coordination of spiking-bursting rhythms in central pattern generators Irene Elices, David Arroyo, Rafael Levi, Francisco B. Rodriguez, Pablo Varona O2 Regulation of top-down processing by cortically-projecting parvalbumin positive neurons in basal forebrain Eunjin Hwang, Bowon Kim, Hio-Been Han, Tae Kim, James T. McKenna, Ritchie E. Brown, Robert W. McCarley, Jee Hyun Choi O3 Modeling auditory stream segregation, build-up and bistability James Rankin, Pamela Osborn Popp, John Rinzel O4 Strong competition between tonotopic neural ensembles explains pitch-related dynamics of auditory cortex evoked fields Alejandro Tabas, André Rupp, Emili Balaguer-Ballester O5 A simple model of retinal response to multi-electrode stimulation Matias I. Maturana, David B. Grayden, Shaun L. Cloherty, Tatiana Kameneva, Michael R. Ibbotson, Hamish Meffin O6 Noise correlations in V4 area correlate with behavioral performance in visual discrimination task Veronika Koren, Timm Lochmann, Valentin Dragoi, Klaus Obermayer O7 Input-location dependent gain modulation in cerebellar nucleus neurons Maria Psarrou, Maria Schilstra, Neil Davey, Benjamin Torben-Ni

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Component-based system design: Analytic real-time interfaces for state-based component implementations

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International Journal on Software Tools for Technology Transfer 2013年第3期15卷 155-170页

作者： Lampka, Kai Perathoner, Simon Thiele, Lothar Department of Information Technology Uppsala University Uppsala Sweden Computer Engineering and Communication Networks Lab ETH Zurich Zurich Switzerland

Compositionality can be a helpful paradigm for coping with the complexity of large embedded systems with real-time constraints. This article exploits state-less assume/guarantee real-time interfaces extended by component properties, both to be satisfied invariantly by any component implementing the respective interface. This supports compositional evaluation of system designs, as overall properties of the latter can be derived from the component interfaces, rather than verifying them for the complete system model at analysis time. Moreover, our design strategy based on extended analytic real-time interfaces features an incremental, and component-wise development of (heterogeneous) system designs. This is, because the interface-derived properties of an overall system design are proven to be invariant under composition and substitution of interfaces and components, as long as the interface definitions are consistent, the (potentially heterogeneous) components implement their interfaces, and a dedicated inclusion criterion holds. This article develops the machinery for deriving analytic interface descriptions from Timed Automata-based component models. It develops the required consistency and conformance tests for deciding the aforementioned invariance of interfaces and components with respect to composition and substitution. This way we hope to advocate a strictly compositional design approach and improve the scalability of state-based analysis methods which we investigate in several case studies. © 2012 Springer-Verlag.

关键词： Real time systems

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The Design and Implementation of a DTN Naming System

The Design and Implementation of a DTN Naming System

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3rd International Conference on Computational Science, engineering and Information Technology, CCSEIT 2013

作者： Chen, Lishui Wang, Songyang Sun, Zhenxi Yan, Changjiang Rao, Huijuan Science and Technology on Information Transmission and Dissemination in Communication Networks Lab. Shijiazhuang 050081 China School of Computer Science and Engineering Beihang University Beijing 100191 China Department of Communication Engineering Harbin Institute of Technology Harbin 150001 China

ISBN: (纸本)9783319009506

This paper presents the design and implementation of the naming mechanism (NAME), a resource discovery and service location approach for Delay/Disruption-Tolerant Network (DTN). First discuss the architecture of NAME mainly including Name Knowledge Base, Name Dissemination, Name Resolution and Name-based Routing. In the design and implementation of NAME, we introduce the simple name-specifiers to describe name, the name-tree for name storage and the efficient predicate-based routing algorithm. Future work is finally discussed for completing NAME and providing APIs for abundant applications.

关键词： Knowledge based systems

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A bidirectional multi-band 60-GHz wireless-over-fiber transmission system with compacted base station and mobile terminal using a robust mm-Wave LO free technique

A bidirectional multi-band 60-GHz wireless-over-fiber transm...

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Optical Fiber communication Conference, OFC 2013

作者： Ye, Chenhui Zhang, Liang Zhu, Ming Rao, Lan Yu, Jianjun Su, Yikai He, Sailing Chang, Gee-Kung State Key Laboratory of Modern Optical Instrumentation Zhejiang University Hangzhou 310058 China School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA 30332 United States State Key Lab of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong University Shanghai 200240 China

For the first time, bidirectional multi-band multi-gigabit wireless-over-fiber transmission at 60-GHz mm-wave band has been accomplished with centrally supplied LO service. It does not require mm-wave LO devices in ea... 详细信息

ISBN: (纸本)9781557529626

关键词： Base stations

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The TREND experimental activities on "green" communication networks

The TREND experimental activities on "green" communication n...

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2013 24th Tyrrhenian International Workshop on Digital communications - Green Information and communications Technology, TIWDC 2013

作者： Meo, Michela Zhang, Yi Hu, Yige Idzikowski, Filip Budzisz, Lukasz Ganji, Fatemeh Haratcherev, Ivaylo Conte, Alberto Cianfrani, Antonio Chiaraviglio, Luca Coiro, Angelo Bolla, Raffaele Jaramillo Ortiz, Olga Bruschi, Roberto Gonzalez, Roberto Guerrero, Carmen Tego, Edion Matera, Francesco Keranidis, Stratos Kazdaridis, Giannis Korakis, Thanasis Dipartimento di Elettronica e Telecomunicazioni Politecnico di Torino Italy Telecommunication Networks Group Technische Universität Berlin Germany Networking Technology Domain Alcatel-Lucent Bell Labs. Nozay France DIET Department University of Rome Sapienza Italy Telecommunication Networks and Telematics Lab. RU of CNIT c/o University of Genoa Italy Departamento de Ingeniería Telemática Universidad Carlos III de Madrid Spain Fondazione Ugo Bordoni Rome Italy Department of Computer and Communication Engineering University of Thessaly Greece

ISBN: (纸本)9781479907564

Aimed at answering important questions about the energy demand of current telecom infrastructure and the design of sustainable and energy-efficient future networks, the research of a number of European partners is brought together in the TREND project. In this paper we present the achievements of the Work Package coordinating the experimental activities of the project - WP4. Although not presenting a completely finished portrait yet, the results shown help building a better global view on the "big picture" in the field of energy-efficient networking. © 2013 IEEE.

关键词： Energy efficiency

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Improvement on Ahn et al.'s RSA P-homomorphic signature scheme

Improvement on Ahn et al.'s RSA P-homomorphic signature sche...

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8th International ICST Conference on Security and Privacy in communication networks, SecureComm 2012

作者： Wang, Zhiwei College of Computer Nanjing University of Posts and Telecommunications Nanjing Jiangsu 210003 China State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences Beijing 100190 China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing Jiangsu 210003 China Key Lab. of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education Jiangsu Province Nanjing Jiangsu 210003 China

ISBN: (纸本)9783642368820

P-homomorphic signature is a general framework for computing on authenticated data, which is recently proposed by Ahn et al. With P-homomorphic signature, any third party can derive a signature on the object message m′ from a signature of m, if m′ and m satisfy P(m,m′) = 1 for some predicate P which denotes the authenticatable relationship between m′ and m. Ahn et al. proposed a RSA P-homomorphic signature scheme by using a RSA accumulator, which is very efficient in space. However, the computational cost of verification and derivation is very heavy. We present an improved P-homomorphic signature scheme based on factoring problem. In our construction, the time efficiency of both verification and derivation are much better than Ahn's scheme. © 2013 ICST Institute for computer Science, Social Informatics and Telecommunications engineering.

关键词： Authentication

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