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IEEE Annual Conference on Decision and Control

作者： Tao Bian Yu Jiang Zhong-Ping Jiang Control and Networks Lab Department of Electrical and Computer Engineering Polytechnic School of Engineering New York University Brooklyn NY 11201 USA

ISBN: (纸本)9781467360890

This paper studies the optimal control problem for continuous-time nonaffine nonlinear dynamic systems with unknown dynamics. By using adaptive dynamic programming (ADP) method, a non-model based optimal control design is given. The convergence analysis for the designed control scheme is presented. Finally, a numerical example is adopted to illustrate the effectiveness of the obtained algorithm.

关键词： dynamic programming design control Optimal control numerical example Self tuning Nonlinear dynamic systems nonlinearity

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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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Novel Scheme of Fuzzy based Concealing Sink Node with Fake Holes (F-CSH)

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Procedia computer Science 2014年 32卷 1174-1179页

作者： Ahmed E. El-Din Rabie A. Ramadan A.A. Elmagid Salah A. Aly Computer Engineering Department Faculty of Engineering Cairo University Cairo Egypt Electronics lab-physics department girls collage for Art Science and Education-Ain Shams UniversityCairo Egypt Smart Networks Lab College of Computer and Information Systems Umm Al-Qura University Makkah KSA

Due to the sink node crucial position, its location privacy is becoming one of the major issues in wireless sensor networks (WSNs) which requires ultimate protection. Particularly, the WSNs successfulness is endanger as the wireless transmission nodes are susceptive to illicit tracing and detection. While privacy of the message can be ensured through encryption content, this paper formalizes a novel efficient privacy preserving scheme to secure sink node location. The aim is to keep the location privacy of the sink node from being tracked using the traffic flow passive analysis. F-CSH is based on the concealing of the location of the main sink using fake sink holes been elected using fuzzy score function. In addition, comprehensive simulations proved that the proposed scheme significantly upgrades both delivery time and conservation energy cost compared with existing strategies.

关键词： Location Privacy Fuzzy Logic Concealing in WSNs.

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Downlink Resource Allocation for a Network using Femto-Base Stations as Relays to Macro-Users

Downlink Resource Allocation for a Network using Femto-Base ...

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IEEE Vehicular Technology Conference

作者： Ayush Rastogi Jinhyun Park Jae Hong Lee System Design Lab Networks Division Samsung Electronics Corporation Department of Electrical and Computer Engineering INMC Seoul National University

ISBN: (纸本)9781479944811

We propose a resource allocation scheme for the downlink of a two-tier wireless network in which femto-base stations are used as relays to macro-users. In the proposed scheme, subcarriers and relays are assigned to users assuming equal power allocation by all base stations to all subcarriers, and then, power is allocated to users. Simulation results show that the proposed scheme achieves higher sum rate of users than the random subcarrier assignment (RSA) scheme, more fair resource allocation to users than the greedy scheme, and lower total transmit power of base stations than the greedy and the RSA schemes.

关键词： Downlink Femtocell Relay Resource allocation

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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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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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Poster abstract: Tracking smartphones using low-power sensor nodes

Poster abstract: Tracking smartphones using low-power sensor...

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11th ACM Conference on Embedded Networked Sensor Systems, SenSys 2013

作者： Lim, Roman Computer Engineering and Networks Lab ETH Zurich 8092 Zurich Switzerland

ISBN: (纸本)9781450320276

Location information about mobile devices can reveal movement patterns of people wearing them. We present a crosstechnology approach to track Wi-Fi enabled smartphones using a ZigBee sensor network. Implementing such a system on resource constrained low-power sensor nodes requires means to eficiently process signal strength measurements. We propose a new method to recognize Wi-Fi probe requests on devices that are unable to decode Wi-Fi packets. Initial experiments on a testbed show that it is possible to localize unmodified phones within a building using signal strength measurements.

关键词： Wi-Fi

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Generative Models for Cellular Social networks

Generative Models for Cellular Social Networks

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International Conference on Computing, Networking and Communications

作者： Deepjyoti Deka Sriram Vishwanath Lab. of Informatics Networks & Communications (LINC) Department of Electrical & Computer Engineering University of Texas at Austin

ISBN: (纸本)9781479923601

The inherent structure of a social network has a significant impact on its functioning and health. Understanding the topology can lead to better strategies to control the functioning of the network and enable rapid identification and prevention of risks such as fragmentation and spread of infection. This paper focuses on modeling and analyzing the structure of the social network associated with voice and SMS communication in a large community in Asia. It studies the topological characteristics of networks and develops a generative model for them. Based on the typical small world characteristics, large scale test systems can be developed to better study the working of new algorithms for cell-phone networks.

关键词： Cellular Social networks SMS enable rapid identification

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Impact of estimated CSI quantization on secrecy rate loss in pilot-aided MIMO systems

Impact of estimated CSI quantization on secrecy rate loss in...

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IEEE Globecom Workshops

作者： Zhangjie Peng Jun Zhu Wei Xu Hua Zhang Chunming Zhao National Mobile Communications Research Lab. Southeast University Nanjing China State Key Laboratory of Integrated Services Networks Xidian University China Department of Electrical and Computer Engineering The University of British Columbia Vancouver BC Canada

ISBN: (纸本)9781479974719

In this paper, we investigate the system performance from the physical layer security provision under imperfect channel state information (CSI). In a classical transmitter (Alice)-legitimate receiver (Bob)- eavesdropper (Eve) model, we introduce artificial noise (AN) to disturb Eve's reception, as Eve's CSI is unknown to Alice. For designing the transmit beamforming vector of the information signal and precoding matrix of AN, Bob feeds back the quantized CSI estimation to Alice. Due to the effects of imperfect CSI at Alice, the secrecy system performance is upper bounded at high SNRs. In order to overcome the problem, by utilizing our derived upper bound on the secrecy rate loss, we put forward a scaled feedback strategy for the secrecy system. By employing the proposed strategy, the secrecy rate increases with transmit power despite that Alice can only obtain imperfect Bob's CSI, and the secrecy rate loss between perfect CSI and imperfect CSI can be controlled within a certain gap. computer simulations are provided to verify our derived results.

关键词： Upper bound Quantization (signal) Receivers Vectors Channel estimation Security Signal to noise ratio

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