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Annual International Conference of the IEEE engineering in Medicine and Biology Society

作者： Zachery R. Hernandez Jesus Cruz-Garza Teresa Tse Jose L. Contreras-Vidal Non-Invasive Brain-Machine Interface Systems Laboratory at the Department of Electrical and Computer Engineering University of Houston (UH) Center for Robotics and Intelligent Systems Tecnologico de Monterrey

ISBN: (纸本)9781424479276

The mirror neuron system (MNS) in humans is thought to enable an individual's understanding of the meaning of actions performed by others and the potential imitation and learning of those actions. In humans, electroencephalographic (EEG) changes in sensorimotor a-band at central electrodes, which desynchronizes both during execution and observation of goal-directed actions (i.e., μ suppression), have been considered an analog to MNS function. However, methodological and developmental issues, as well as the nature of generalized μ suppression to imagined, observed, and performed actions, have yet to provide a mechanistic relationship between EEG μ-rhythm and MNS function, and the extent to which EEG can be used to infer intent during MNS tasks remains unknown. In this study we present a novel methodology using active EEG and inertial sensors to record brain activity and behavioral actions from freely-behaving infants during exploration, imitation, attentive rest, pointing, reaching and grasping, and interaction with an actor. We used δ-band (1-4Hz) EEG as input to a dimensionality reduction algorithm (locality-preserving Fisher's discriminant analysis, LFDA) followed by a neural classifier (Gaussian mixture models, GMMs) to decode the each MNS task performed by freely-behaving 6-24 month old infants during interaction with an adult actor. Here, we present results from a 20-month male infant to illustrate our approach and show the feasibility of EEG-based classification of freely occurring MNS behaviors displayed by an infant. These results, which provide an alternative to the μ-rhythm theory of MNS function, indicate the informative nature of EEG in relation to intentionality (goal) for MNS tasks which may support action-understanding and thus bear implications for advancing the understanding of MNS function.

关键词： Electroencephalography Scalp Acceleration Training Coherence Electrodes Testing

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Flexible triangular formation keeping of marine robotic vehicles using range measurements 19

Flexible triangular formation keeping of marine robotic vehi...

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19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014

作者： Rego, Francisco Soares, Jorge M. Pascoal, António Aguiar, A. Pedro Jones, Colin Laboratory of Robotics and Systems in Engineering and Science Instituto Superior Técnico University of Lisbon Lisbon Portugal Department of Electrical and Computer Engineering Faculty of Engineering University of Porto Porto Portugal Institute of Mechanical Engineering School of Engineering École Polytechnique Fédérale de Lausanne Lausanne Switzerland Distributed Intelligent Systems and Algorithms Laboratory School of Architecture Civil and Environmental Engineering École Polytechnique Fédérale de Lausanne Lausanne Switzerland National Institute of Oceanography Dona Paula Goa India

ISBN: (纸本)9783902823625

This paper addresses the problem of keeping an autonomous marine vehicle in a moving triangular formation by regulating its position with respect to two leader vehicles. The follower vehicle has no prior knowledge of the path described by the leaders but has access to their heading angle and is able to measure inter-vehicle ranges. It is assumed that the distance between the leaders is constant and known. A control strategy is adopted that generates speed and heading commands so as to drive suitably defined along track and cross track errors to zero. The commands are used as input to local inner loops for yaw and speed control. The paper describes the algorithms derived for range-based control and assesses their performance in simulations using realistic models of the vehicles involved. Tests with three autonomous marine vehicles equipped with acoustic modems and ranging devices allow for the evaluation of the performance of the algorithms in a real-world situation. © IFAC.

关键词： Vehicle performance

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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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Short-term temperature prediction in buildings using advanced data analysis techniques

Engineering Intelligent Systems

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engineering intelligent systems 2015年第4期23卷 209-216页

作者： Carrasco, Juan J. Millán-Giraldo, Mónica Caravaca, Juan Díaz, Ignacio Sanchis, Javier Soria-Olivas, Emilio Intelligent Data Analysis Laboratory E.T.S.E University of Valencia Avda Universitat S/N Burjassot Valencia46100 Spain Electrical Engineering and Computer Systems Department University of Oviedo University Campus of Viesques Gijón Asturias33204 Spain Instituto Universitario de Automática e Informática Industrial Universitat Politécnica de Valencia Camino de Vera S/N Valencia46022 Spain

Reduction in energy consumption is of paramount importance due to the influence that it has on the economic, politics and on the use of natural resources. Within this field, energy efficiency in buildings sector constitutes one of the main concerns due to the fact that approximately 40% of total world energy consumption corresponds to this sector. Predicting the indoor temperature in advance can help to act more efficiently on Heating, Ventilation fans and Air Conditioning (HVAC) systems, and thus to reduce the consumption. This work tackles the application of machine learning methods to forecast indoor temperature in an office building, using several prediction horizons. The obtained results showed the validity of the used approximation. ©2015 CRL Publishing Ltd.

关键词： Energy efficiency

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Computational Approaches for Bad Data Handling in Power System Synchrophasor Networks

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IFAC Proceedings Volumes 2014年第3期47卷 11269-11274页

作者： Ganesh K. Venayagamoorthy Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering Clemson University Clemson SC 29634 USA Tel: +1 864-6565936

The state estimators used in real-time power system control centers now process bad data as a standard routine. With the introduction and deployment of phasor measurement units (PMUs), it is possible to model power systems, even with their time-varying nature, in real-time. However, PMUs remain vulnerable to providing bad data for several reasons. In this paper, a new intelligent framework, the cellular computational netwo rk (CCN), is introduced for the decentralized predictive modeling and dynamic state estimation (DSE) of a power system with PMU data. The CCN-based DSE is resilient to interactions between multiple segments of bad data from one or more PMUs.

关键词： Bad Data Phasor Measurement Units Power System Synchrophasor Network

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Novel computational tools in biosignal processing

Scientific World Journal

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Scientific World Journal 2015年第1期2015卷 984702页

作者： Ouyang, Gaoxiang Stathaki, Tania Lam, Hak-Keung Li, Jing Ju, Zhaojie National Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University Beijing 100875 China Department of Electrical and Electronic Engineering Imperial College London London SW72AZ United Kingdom Department of Informatics King's College London London WC2R2LS United Kingdom School of Information Engineering Nanchang University Nanchang 330031 China Intelligent Systems and Biomedical Robotics Group University of Portsmouth Portsmouth PO13HE United Kingdom

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Viewpoint selection for vision systems in industrial inspection

Viewpoint selection for vision systems in industrial inspect...

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IEEE International Conference on robotics and Automation (ICRA)

作者： Jose Luis Alarcon-Herrera Xiang Chen Xuebo Zhang Department of Electrical and Computer Engineering University of Windsor Windsor Ontario Canada Tianjin Key Laboratory of Intelligent Robotics Nankai University Tianjin China

An automatic method for solving the problem of view planning in high-resolution industrial inspection is presented. The method's goal is to maximize the visual coverage, and to minimize the number of cameras used for inspection. Using a CAD model of the object of interest, we define the scene-points and the viewpoints, with the later being the solution space. The problem formulation accurately encapsulates all the vision- and task-related requirements of the design process for inspection systems. We use a graph-based approach to formulate a solution for the problem. The solution is implemented as a greedy algorithm, and the method is validated through experiments.

关键词： Cameras Inspection Lenses Solid modeling Visualization Image resolution Robot vision systems

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Design and implementation of a range-based formation controller for marine robots 1

Design and implementation of a range-based formation control...

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ROBOT 2013: 1st Iberian robotics Conference

作者： Soares, Jorge M. Aguiar, A. Pedro Pascoal, António M. Martinoli, Alcherio Laboratory of Robotics and Systems in Engineering and Science Instituto Superior Técnico Technical University of Lisbon Av. Rovisco Pais Lisboa1049-001 Portugal Department of Electrical and Computer Engineering University of Porto Rua Dr. Roberto Frias Porto4200-465 Portugal LausanneCH-1015 Switzerland

ISBN: (纸本)9783319034126

There is considerable worldwide interest in the use of groups of autonomous marine vehicles to carry our challenging mission scenarios, of which marine habitat mapping of complex, non-structured environments is a representative example. Relative positioning and formation control becomes mandatory in many of the missions envisioned, which require the concerted operation of multiple marine vehicles carrying distinct, yet complementary sensor suites. However, the constraints placed by the underwater medium make it hard to both communicate and localise the vehicles, even in relation to each other, let alone maintain them in a formation. As a contribution to overcoming some of these problems, this paper deals with the problem of keeping an autonomous marine vehicle in a moving triangular formation with respect to two leader vehicles. Simple feedback laws are derived to drive a controlled vehicle to its intended position in the formation using acoustic ranges obtained to the leading vehicles with no knowledge of the formation path. The paper discusses the implementation of this solution in the MEDUSA class of autonomous marine vehicles operated by IST and describes the results of trials with these vehicles exchanging information and ranges over an acoustic network. © Springer International Publishing Switzerland 2014.

关键词： Machine design

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Distributed gabriel graph construction and meta-information gathering 20

Distributed gabriel graph construction and meta-information ...

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20th IMEKO TC4 Symposium on Measurements of electrical Quantities: Research on electrical and Electronic Measurement for the Economic Upturn, Together with 18th TC4 International Workshop on ADC and DCA Modeling and Testing, IWADC 2014

作者： Oliva, Gabriele Setola, Roberto Polycarpou, Marios Complex Systems and Security Laboratory University Campus Bio-Medico Via A. del Portillo 21 Rome00128 Italy Dept. of Electrical and Computer Engineering KIOS Research Center for Intelligent Systems and Networks University of Cyprus 75 Kallipoleios P.O. Box 20537 NicosiaCY-1678 Cyprus

ISBN: (纸本)9789299007327

In this paper we provide a distributed way to transform the network topology underlying a set of agents embedded in a bi-dimensional space into a planar graph, and specifically into a Gabriel graph. Moreover, a distributed algorithm based on synchronized consensus methodologies is provided in order to gather some useful pieces of meta-information (number of faces, average size of the faces, size of the boundary, etc.) and to let each node in the Gabriel graph identify its "role" (i.e., node that links two subgraphs, node on a branch ending with a leaf, node belonging to a face, etc.). The insights obtained by means of the proposed approach may contribute to develop better geographic routing techniques as well as to improve the local decision capability of the agents in distributed environments.

关键词： Graphic methods

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Acquiring brain signals of imagining humanoid robot walking behavior via cerebot

Advances in Intelligent Systems and Computing

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Advances in intelligent systems and Computing 2014年 215卷 617-627页

作者： Li, Wei Li, Yunyi Chen, Genshe Meng, Qinghao Zeng, Ming Sun, Fuchun Tianjin University Tianjin China Department of Computer and Electrical Engineering and Computer Science California State University Bakersfield 9001 Stockdale Hwy Bakersfield CA 93311-1022 United States Department of Psychology and Neuroscience Duke University 417 Chapel Drive Durham NC 27708-0086 United States I-Fusion Technologies Inc Germantown MD 20874 United States State Key Laboratory of Intelligent Technology and Systems Tsinghua University Beijing China

Control of humanoid robot behavior with the mind begins a new era of robotics research. One of the critical issues in this research is how to acquire the brain signals with high quality which are correlated to humanoid robot behavior. In order to improve subjects' concentration on their mental activities during tests, we develop a stimuli module in the Cerebot system, consisting of a Cerebus neural data acquisition system and a Kumotek robot with 20 degrees of freedom or a NAO robot with 25 degrees of freedom. We present the experimental procedures for acquiring brain signals of imagining humanoid robot walking behavior by using movies of robot walking or real robot walking activities. We record two groups of brain signals correlated to mental activities of six robot walking behavior. Finally, we present a demonstration of controlling the humanoid robot walking behavior using the phase coding mechanisms of the Delta rhythms. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Anthropomorphic robots

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