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IEEE Conference on Computer Vision and Pattern Recognition

作者： Zhiding Yu Chunjing Xu Deyu Meng Zhuo Hui Fanyi Xiao Wenbo Liu Jianzhuang Liu Department of Electrical and Computer Engineering Carnegie Mellon University Huawei Technologies Co. Ltd. Inst. for Info. & System Sciences Faculty of Math. & Stat. Xi'an Jiaotong University The Robotics Institute Carnegie Mellon University

ISBN: (纸本)9781479951192

We propose a very intuitive and simple approximation for the conventional spectral clustering methods. It effectively alleviates the computational burden of spectral clustering - reducing the time complexity from O(n~3) to O(n~2) - while capable of gaining better performance in our experiments. Specifically, by involving a more realistic and effective distance and the "k-means duality" property, our algorithm can handle datasets with complex cluster shapes, multi-scale clusters and noise. We also show its superiority in a series of its real applications on tasks including digit clustering as well as image segmentation.

关键词： Clustering algorithms Algorithm design and analysis Clustering methods Kernel Measurement Labeling Shape

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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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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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Multi-criteria optimization of steel alloys for crankshafts production

Multi-criteria optimization of steel alloys for crankshafts ...

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International Symposium on INnovations in Intelligent systems and Applications, INISTA 2012

作者： Koprinkova-Hristova, Petia Tontchev, Nikolay Popova, Silviya Inst. of Information and Communication Technologies Bulgarian Academy of Sciences Sofia Bulgaria Department of Transport Management University of Transport Sofia Bulgaria Inst. of System Engineering and Robotics Bulgarian Academy of Sciences Sofia Bulgaria

ISBN: (纸本)9781467314466

The paper presents application of multi-criteria optimization to steel alloy composition determination aimed at obtaining improved properties material for crankshafts production. Neural network model of steel mechanical characteristics in dependence on amounts of its alloying elements were used for simulation purpose. Then several Pareto optimal solutions were found based on obtained by simulation numerous compositions in the investigated region of interest. © 2012 IEEE.

关键词： Alloy steel

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Approximating the stance map of a SLIP Monopod: A perturbation approach

Approximating the stance map of a SLIP Monopod: A perturbati...

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2011 IEEE 5th International Conference on robotics, Automation and Mechatronics, RAM 2011

作者： Yu, Haitao Li, Mantian Cai, Hegao State Key Laboratory of Robotics and System Harbin Inst. of Tech. Harbin 150001 China

ISBN: (纸本)9781612842509

In this paper, a novel method with perturbation technique is proposed to obtain analytic approximate solutions to the SLIP dynamics in stance phase with considering the effect of gravity. The perturbation solution achieves higher accuracy in predicting the apex trajectory and stance locomotion by comparing with other existing analytic approximations. Particularly, our solution is validated for non-symmetric case in a large angle range. Additionally, the approximate apex return map is established, of which the fixed point stability is analyzed base on the approximations. © 2011 IEEE.

关键词： Perturbation techniques

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State engine based validation of MEMS 1 process sequences

State engine based validation of MEMS 1 process sequences

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4th IEEE International Conference on Nano/Micro Engineered and Molecular systems, NEMS 2009

作者： Zhao, Xu Zhao, Xin Lu, Guizhang Inst. of Robotics and Automatic Information System Nankai University Tianjin China

ISBN: (纸本)9781424446308

The validation of process sequences could use the process expert knowledge of specific MEMS pipeline to reason out whether the user-defined process sequences can be manufactured on this pipeline. The process, its parameters and the order of process sequences have great impact on the result of the MEMS device manufactured, even result in that the user-defined process sequences can't be manufactured on specific MEMS pipeline. In this paper we put forward the validation of process sequences based on the state engine. Firstly, obtaining the process knowledge, then, generating the states of every process by the state engine, at last, reasoning out the validation result of the process sequences by using the matrix of the process states and the expert knowledge. © 2009 IEEE.

关键词： Expert systems

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Indoor Dangerous Gas Environment Detected by Mobile Robot

Indoor Dangerous Gas Environment Detected by Mobile Robot

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2009 IEEE International Conference on robotics and Biomimetics(2009 IEEE 机器人与仿生技术国际会议 ROBIO 2009)

作者： Fujun He Zhijiang Du Yingfei Sun Xiaolei liu State Key Laboratory of Robotics and System Harbin Institute of Technologyand Daqing Petroleum Inst State Key Laboratory of Robotics and System Harbin Institute of TechnologyHarbinHeilongjiang Provi Department of Mechanical Science and Technology Electrical Engineering DepartmentDaqing Petroleum I

ISBN: (纸本)9781424447749;9781424447756

It will be dangerous if hazard gas or inflammable gas arises in room without being noticed for a long time. A robot is a good choice to automatically detect the dangerous gas and send out accurate information and alarm. To obtain exact and plentiful danger information, the robot has to search the gas source. Traditional gas source searching ways is not satisfying. An intelligent robot mounted gas sensors, laser finder and vision is introduced, and the responding and recover delay features of gas sensors is analysed. The requirement and feature of indoor searching is discussed. two kinds of searching strategy is presented, one is the danger site directly searching strategy, which make use of the prior knowledge about the indoor environment, the gas source and so on, the robot can analysis the type of gas source through sensor information, and estimate the possible sites of the source, then go searching them according to the priority. The other strategy imitates the searching process of people, which evaluates the risk area around the robot by a fuzzy inferring system with gas sensors and vision information. The robot can arrive to gas source by moving to high risk area step by step instead of trace plum, thus can improve efficiency. The simulation shows that the strategy is successfully for indoor danger source searching.

关键词： valve diameter Robot Gas sensors Mobile robots search strategies combustible gas safety

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Integrated 3-D simulation tool for micro and nano fabrication

Integrated 3-D simulation tool for micro and nano fabricatio...

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2008 8th IEEE Conference on Nanotechnology, IEEE-NANO

作者： Sun, Guangyi Zhao, Xin Lu, Guizhang Zhang, Haixia Inst. of Robotics and Automatic Information System Nankai University Tianjin China Inst. of Microelectronics Peking University Beijing China

ISBN: (纸本)9781424421046

This paper introduces an integrated 3-D simulation and visualization environment for Micro/Nano fabrication processes. From the nanostructures in several hundred nanometers to micro devices, most available fabrication processes, e.g., lithography, dry/wet etching, CVD/EVD, have been modeled and can be simulated seamlessly with each other under the uniform voxel-based representation method and standardized layout file. Also, physical-based and sophisticated-based simulations have been implemented together as well. High quality simulation and visualization algorithm enhance the reliability. © 2008 IEEE.

关键词： Fabrication

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3-D simulation of bosch process with voxel-based method

3-D simulation of bosch process with voxel-based method

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2007 2nd IEEE International Conference on Nano/Micro Engineered and Molecular systems, IEEE NEMS 2007

作者： Guangyi, Sun Xin, Zhao Haixia, Zhang Lei, Wang Guizhang, Lu Institute of Robotics and Automatic Information System Nankai University Tianjin 300071 China Institute of Microelectronics Peking University Beijing 100871 China Inst. of Robotics and Automatic Information System Nankai University Tianjin China Inst. of Microelectronics Peking University Beijing China

ISBN: (纸本)1424406102

A new approach for three-dimensional simulation of Bosch process with arbitrary 2-D mask shape with voxel-based method is presented. Its surface evolution is based on 3-D mathematical morphology derived from image processing and the visualization is based on volume rendering. The rate distribution of etching and deposition is obtained from macroscopic point advancement models which consider flux distributions and surface reactions. Based on this method, a 3-D simulator has been developed, which can be applied in the development of Bosch process. It is possible to simulate the etching of different types of material and alternation of etching and polymerization. By simulating aspect ratio-dependent etching (ARDE), lag and pattern transfer effects can be found clearly in the 3-D topography. A simulated 3-D profile of 2 μm × 2 μm cross trench shows a good agreement with the experimental data. © 2007 IEEE.

关键词： Masks

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Telegame:A new type of teleoperation

Telegame:A new type of teleoperation

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WCICA 2004 - Fifth World Congress on Intelligent Control and Automation, Conference Proceedings

作者： Liu, Jingtai Chen, Tao Sun, Lei Wu, Shuihua Huang, Xingbo Zhao, Chunying Inst. Robotics/Automat. Info. System Nankai University Tianjin 300071 China

ISBN: (纸本)0780382730

A difficulty-adjustable, strong-interactive teleoperation system - Nankai telegame system(Nankai Teleoperation and Telegame Robot Platform), which can be used to test the control strategy and control algorithm by adjusting difficulty of the telegame system, is explored in this paper. Thus we can find out which kind of control strategy and control algorithm is suitable for different network environments by our telegame system. At the end of this article, we will give our conclusion and future work of Nankai telegame system.

关键词： Mobile robots

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