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

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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Floor plan construction via anonymous Wi-Fi signal fragment matching

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ICIC Express Letters, Part B: Applications 2014年第4期5卷 981-987页

作者： Zhou, Mu Tian, Zengshan Xu, Kunjie Tang, Xiaomou Wang, Zhuoran Chongqing Key Lab of Mobile Communications Technology School of Communication and Information Engineering Chongqing University of Posts and Telecommunications No. 2 Chongwen Road Nan'an Dist. Chongqing 400065 China Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong Graduate Telecommunications and Networking Program University of Pittsburgh PA 15260 United States

Floor plan construction is the basis for fingerprint-based localization and people's activity learning, especially in the environments where the geometrical map is not available or does not exist. To this end, we propose a new received signal strength (RSS) fragment matching approach to identify the location points (LPs) in floor plan as the overlapped pieces between the fragments. Then, by means of the Smith-Waterman alignment, each LP can be recognized as a winning path in scoring space. Finally, we use the Allen's interval algebra to assemble the time-stamped LPs into a floor plan in target area. The experiments with the actual Wi-Fi RSS measurements recorded in HKUST campus demonstrate that our proposed approach performs better than the conventional K-means clustering and spectral clustering in floor plan construction. © 2014 ICIC International.

关键词： Algebra

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Construction of time-stamped mobility map for path tracking via smith-waterman measurement matching

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Mathematical Problems in engineering 2014年第1期2014卷 1-17页

作者： Zhou, Mu Tian, Zengshan Xu, Kunjie Wu, Haibo Pu, Qiaolin Yu, Xiang Chongqing Key Lab of Mobile Communications Technology Chongqing University of Posts and Telecommunications Chongqing 400065 China Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Hong Kong Hong Kong Graduate Telecommunications and Networking Program University of Pittsburgh Pittsburgh PA 15260 United States China Internet Research Lab Computer Network Information Center Chinese Academy of Sciences Beijing 100190 China

Path tracking in wireless and mobile environments is a fundamental technology for ubiquitous location-based services (LBSs). In particular, it is very challenging to develop highly accurate and cost-efficient tracking systems applied to the anonymous areas where the floor plans are not available for security and privacy reasons. This paper proposes a novel path tracking approach for large Wi-Fi areas based on the time-stamped unlabeled mobility map which is constructed from Smith-Waterman received signal strength (RSS) measurement matching. Instead of conventional location fingerprinting, we construct mobility map with the technique of dimension reduction from the raw measurement space into a low-dimensional embedded manifold. The feasibility of our proposed approach is verified by the real-world experiments in the HKUST campus Wi-Fi networks, sMobileNet. The experimental results prove that our approach is adaptive and capable of achieving an adequate precision level in path tracking. © 2014 Mu Zhou et al.

关键词： Wi-Fi

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Dirichlet tessellation for high-dimensional RSS clustering in Wi-Fi environment

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ICIC Express Letters 2014年第7期8卷 2043-2048页

作者： Zhou, Mu Tian, Zengshan Xu, Kunjie Tang, Xiaomou Chongqing Key Lab of Mobile Communications Technology Chongqing University of Posts and Telecommunications No. 2 Chongwen Road Nanan District Chongqing 400065 China Department of Electronic and Computer Engineering The Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong Graduate Telecommunication and Networking Program School of Information Science University of Pittsburgh PA 15260 United States

The received signal strength (RSS) clustering has played a significant role in site surveying and data pre-processing for the location tracking in Wi-Fi environment. To this end, this paper presents a novel clustering algorithm to cluster the raw RSS vectors with large similarities in both the RSS and physical locations together. The clusters of RSS vectors are determined by the cells which are generated by the Dirichlet tessellation in a transformed low-dimensional space. Our algorithm consists of two steps. We first use the Laplacian embedding to transform the raw measurements into a low-dimensional space, while preserving the RSS and location neighborhood relations. Second, after the seeds of cells are carefully selected, we will tessellate the low-dimensional space by the Dirichlet cells to obtain the clustering results. The experiments conducted in an actual public Wi-Fi environment prove that our algorithm can achieve the smallest cluster scattering in both the RSS and locations compared with the existing affinity propagation clustering, K-means clustering and binary support vector classifier (SVC) algorithms. © 2014 ISSN 1881-803X.

关键词： Wi-Fi

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Evolving fuzzy classifier based on clustering algorithm and drift detection for fault diagnosis applications

Evolving fuzzy classifier based on clustering algorithm and ...

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2014 Annual Conference of the Prognostics and Health Management Society, PHM 2014

作者： Inacio, Maurilio Lemos, Andre Caminhas, Walmir Graduate Program in Electrical Engineering Federal University of Minas Gerais Belo Horizonte31270-901 Brazil Dept. of Computer Engineering Faculdade de Ciencia e Tecnologia de Montes Claros Montes Claros39400-142 Brazil Dept. of Electronic Engineering Federal University of Minas Gerais Belo Horizonte31270-901 Brazil

ISBN: (纸本)9781936263172

Nowadays, in several areas, efficient fault diagnosis methods for complex machinery and equipments are required. Several fault diagnosis methods based on different theories and approaches have been proposed in the literature. In general, these methods use mathematical/statistical models, accumulated experience, or even process historical data to perform fault diagnosis. Although methods based on models or experience have shown to be effective, they have the disadvantage of requiring previous knowledge of the dynamic system in question. On the contrary, methods based on process historical data do not require a prior knowledge, they are based solely on data obtained directly from the dynamic system. The application of so-called "Evolving Intelligent Systems" to accomplish fault diagnosis from process data have been shown a promising approach. This paper proposes an evolving fuzzy classifier based on a new approach that combines a recursive clustering algorithm and a drift detection method and its application on dynamic systems fault diagnosis. The novel approach provides greater robustness to outliers and noise present in data from process sensors. The classifier is evaluated in fault diagnosis of an interacting tank system and the results are promising.

关键词： Failure analysis

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Photonic sensors as imaging tools for industrial monitoring

Photonic sensors as imaging tools for industrial monitoring

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Optical Sensors, 2014

作者： Martelli, Cicero Da Silva, Marco J. Da Silva, Jean C.C. Morales, Rigoberto E.M. Da Silva, Erlon V. Zamarreño, Carlos R. Baroncini, Virginia Mezzadri, Felipe Patyk, Rodolfo Dutra, Guilherme Bazzo, João Vendruscolo, Tiago P. Graduate Program in Electrical and Computer Engineering Federal University of Technology - Paraná Curitiba PR80230-901 Brazil Department of Mechanical Engineering Federal University of Technology - Paraná Curitiba PR80230-901 Brazil Tractebel Energia S/A Quedas do Iguaçu PR Brazil Electrical and Electronic Engineering Department Public University of Navarra Pamplona NA Spain

Single point, quasi-distributed and distributed optical (fiber) sensors are demonstrated to be robust and reliable tools for one, two and three dimensional imaging of physical phenomena in industrial monitoring. Real ... 详细信息

ISBN: (纸本)9781557528209

关键词： Fiber Bragg gratings Image sensors Sensors Spatial resolution Temperature sensors Three dimensional imaging Fiber Bragg gratings (060.3735) Optical sensing and sensors (280.4788) Flow diagnostics (280.2490)

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Corrigendum to "Target-specific near-IR induced drug release and photothermal therapy with accumulated Au/Ag hollow nanoshells on pulmonary cancer cell membranes" [Biomaterials 45 (2015) 81-92]

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Biomaterials 2015年 65卷 124-125页

作者： Mi Suk Noh Somin Lee Homan Kang Jin-Kyoung Yang Hyunmi Lee Doyk Hwang Jong Woo Lee Sinyoung Jeong Yoonjeong Jang Bong-Hyun Jun Dae Hong Jeong Seong Keun Kim Yoon-Sik Lee Myung-Haing Cho Laboratory of Toxicology College of Veterinary Medicine Seoul National University Seoul 151-742 Republic of Korea Program in Nano Science and Technology Graduate School of Convergence Science and Technology Seoul National University Seoul 151-742 Republic of Korea Medical Supplies Evaluation Center Korea Testing Certification Gunpo 435-862 Republic of Korea. Graduate Group of Tumor Biology Seoul National University Seoul 151-742 Republic of Korea. Interdisciplinary Program in Nano-Science and Technology Seoul National University Seoul 151-742 Republic of Korea School of Electrical Engineering and Computer Science Seoul National University Seoul 151-742 Republic of Korea. School of Chemical and Biological Engineering Seoul National University Seoul 151-742 Republic of Korea. Department of Biophysics and Chemical Biology and Department of Chemistry Seoul National University Seoul 151-742 Republic of Korea. Department of Chemistry Education Seoul National University Seoul 151-742 Republic of Korea. Laboratory of Toxicology College of Veterinary Medicine Seoul National University Seoul 151-742 Republic of Korea. Department of Bioscience and Biotechnology Konkuk University Seoul 143-701 Republic of Korea. Department of Chemistry Education Seoul National University Seoul 151-742 Republic of Korea. School of Chemical and Biological Engineering Seoul National University Seoul 151-742 Republic of Korea. Electronic address: yslee@snu.ac.kr. Graduate Group of Tumor Biology Seoul National University Seoul 151-742 Republic of Korea Advanced Institute of Convergence Technology Seoul National University Suwon 443-270 Republic of Korea. Electronic address: mchotox@snu.ac.kr.

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Error analysis for RADAR neighbor matching localization in linear logarithmic strength varying Wi-Fi environment

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The Scientific World Journal 2014年第1期2014卷 647370页

作者： Zhou, Mu Tian, Zengshan Xu, Kunjie Yu, Xiang Wu, Haibo Chongqing Key Lab of Mobile Communications Technology Chongqing University of Posts and Telecommunications Chongqing 400065 China Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Kowloon Hong Kong Graduate Telecommunications and Networking Program University of Pittsburgh Pittsburgh PA 15260 United States China Internet Research Lab Computer Network Information Center Chinese Academy of Sciences Beijing 100190 China

This paper studies the statistical errors for the fingerprint-based RADAR neighbor matching localization with the linearly calibrated reference points (RPs) in logarithmic received signal strength (RSS) varying Wi-Fi environment. To the best of our knowledge, little comprehensive analysis work has appeared on the error performance of neighbor matching localization with respect to the deployment of RPs. However, in order to achieve the efficient and reliable location-based services (LBSs) as well as the ubiquitous context-awareness in Wi-Fi environment, much attention has to be paid to the highly accurate and cost-efficient localization systems. To this end, the statistical errors by the widely used neighbor matching localization are significantly discussed in this paper to examine the inherent mathematical relations between the localization errors and the locations of RPs by using a basic linear logarithmic strength varying model. Furthermore, based on the mathematical demonstrations and some testing results, the closed-form solutions to the statistical errors by RADAR neighbor matching localization can be an effective tool to explore alternative deployment of fingerprint-based neighbor matching localization systems in the future. © 2014 Mu Zhou et al.

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Applying Interdisciplinarity and Agile Methods in the Development of a Smart Grids System

Applying Interdisciplinarity and Agile Methods in the Develo...

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International Conference on Information Technology: New Generations (ITNG)

作者： Marcelo Paiva Ramos Gustavo Ravanhani Matuck Ciro Fernandes Matrigrani Samoel Mirachi Eliezer Segeti Marco Leite Adilson Marques Da Cunha Luiz Alberto Vieira Dias Computer and Electronic Engineering Graduate Program Brazilian Aeronautics Institute of Technology Sao Paulo Brazil

ISBN: (纸本)9781467359603

This paper describes an experiment of integrating undergraduate and graduate courses at the Brazilian Aeronautics Institute of Technology, within the computer engineering Undergraduate program and the electronic and Computing engineering graduate program, during the 2nd semester of 2011. A Smart Grids System case study was used as a Problem Based Learning strategy together with agile best practices within a project development. This experiment has involved four courses: Embedded Systems (undergraduate), Embedded and Real-Time Systems, Software Quality, Reliability, and Safety, and Advanced Topics in Software Testing. During this experiment, the students of all these courses had to interact and collaborate in order to produce a prototype of a Smart Grids System, simulating a real project development.

关键词： Smart grids Real-time systems Software reliability Safety Software testing Software quality

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Power quality control of wind-diesel hybrid power systems using fuzzy PI controller

Power quality control of wind-diesel hybrid power systems us...

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2012 3rd International Conference on Manufacturing Science and Technology, ICMST 2012

作者： Yang, Su-Hyung Kim, Ho-Chan Boo, Chang-Jin Kang, Min-Jae Kim, Eel-Hwan Ko, Hee-Sang Lee, Kwang Y. Multidisciplinary Graduate School Program for Wind Energy Jeju National University Korea Republic of Department of Electrical Engineering Jeju National University Korea Republic of Department of Electronic Engineering Jeju National University Korea Republic of Product Development Team/Wind Turbine Division Samsung Heavy Industries Co Korea Republic of Department of Electrical and Computer Engineering Baylor University United States

ISBN: (纸本)9783037855638

This paper proposes a modeling and controller design approach for a wind-diesel hybrid system including dump load. The proposed control scheme for power quality is fuzzy PI controller which has advantages of PI and fuzzy controller. Simulation results show that the proposed controller is more effective against disturbances caused by wind speed and load variation than the PI controller, and thus it contributes to a better quality wind-diesel hybrid power system. © (2013) Trans Tech Publications, Switzerland.

关键词： Controllers

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