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18th IEEE Signal Processing Algorithms, Architectures, Arrangements, and Applications, SPA 2014

作者： Dobrucki, Andrzej Walczyński, Maciej Bozejko, Wojciech Wroclaw University of Technology Faculty of Electronics Department of Acoustic and Multimedia Wyb. Wyspiańskiego 27 Wroclaw50-370 Poland Wroclaw University of Technology Institute of Computer Engineering Control and Robotics Wyb. Wyspiańskiego 27 Wroclaw50-370 Poland

ISBN: (纸本)9788362065189

This paper deals with a number of parallel LMS family algorithms in the context of their use in the acoustic echo cancellation. The most complex parts of the LMS-based algorithms were determined and parallelized. A number of parallelization methods were designed taking under consideration varied types of architectures of modern concurrent computing environment, such as GPUs, clusters of workstations and cloud computing. © 2014 Division of Signal Processing and Electronic Systems, Poznan University of Technology.

关键词： Adaptive algorithms

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Attitude Control with a Region-Based Method for an Unmanned Aerial Vehicle

Attitude Control with a Region-Based Method for an Unmanned ...

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Asian Control Conference

作者： Mohd Bazli M. Mokhar Zool H. Ismail Mohamad Yani Matthew W. Dunnigan Faculty of Electrical Engineering Universiti Teknologi Malaysia Center for AI & Robotics Universiti Teknologi Malaysia Dept. of Electrical Electronics and Computer Engineering School of Eng. and Physical Sciences Heriot-Watt University

ISBN: (纸本)9781479978632

This paper presents dynamic inversion control with a region control method. Dynamic inversion control is chosen to deal with the strong coupling effect present in an underactuated aerial vehicle (quadrotor). Dynamic inversion is effective in both linear and nonlinear control whilst the region control method is a method that can reduce the energy consumption of the quadrotor. Numerical simulations are presented to demonstrate the effectiveness of the proposed controller.

关键词： Region-based method Quadrotor Dynamic inversion control Underactuated Coupling effect

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A Novel Gesture Driven Fuzzy Interface System For Car Racing Game

A Novel Gesture Driven Fuzzy Interface System For Car Racing...

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IEEE International Conference on Fuzzy Systems

作者： Chiranjib Saha Debdipta Goswami Sriparna Saha Amit Konar Anna Lekova Atulya K. Nagar Department of of Electronics and Telecommunication Engineering Jadavpur University Kolkata-700050 India Institute of System Engineering and Robotics Bulgarian Academy of Sciences Sofia Bulgaria Department of Mathematics and Computer Science Liverpool Hope University United Kingdom

ISBN: (纸本)9781467374293

The recently developed Kinect sensor has opened a new horizon to Human-computer Interface (HCI) and its native connection with Microsoft's product line of Xbox 360 and Xbox One video game consoles makes completely hands-free control in next generation of gaming. Games that requires a lot of degree of freedoms, especially the driving control of a car in racing games is best suitable to be driven by gestures, as the use of simple buttons does not scale to the increased number of assistive, comfort, and infotainment functions. In this paper, we propose a Mamdani type-I fuzzy inference system based data processing module which effectively takes into account the dependence of actual steering angle with the distance of two palm positions and angle generated with respect to the sagittal plane. The FIS output variable controls the duration of a virtual "key-pressed" event which mocks the users pressing of actual keys assigned to control car direction in the original game. The acceleration and brake(deceleration) of the vehicle is controlled using the relative displacement of left and right feet. The proposed experimental setup, interfacing Kinect and a desktop based racing game, has shown that the virtual driving environment can be easily applied to any games belonging to this particular genre.

关键词： Novel Gesture Driven Fuzzy Interface System Car Racing Game HCI computer human interaction Game theory interface system game player Gestures Automobile driving Hunting Game animals virtual drive Cars relative displacement DETRAINING Car owner acceleration

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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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System design and locomotion of SUPERball, an untethered tensegrity robot

System design and locomotion of SUPERball, an untethered ten...

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IEEE International Conference on robotics and Automation (ICRA)

作者： Andrew P. Sabelhaus Jonathan Bruce Ken Caluwaerts Pavlo Manovi Roya Fallah Firoozi Sarah Dobi Alice M. Agogino Vytas SunSpiral NASA Ames Intelligent Robotics Group and the Dynamic Tensegrity Robotics Lab CA USA Department of Mechanical Engineering University of California Berkeley USA Department of Computer Engineering University of California Santa Cruz USA Electronics and Information Systems Department Ghent University Oak Ridge TN Belgium

ISBN: (纸本)9781479969241

The Spherical Underactuated Planetary Exploration Robot ball (SUPERball) is an ongoing project within NASA Ames Research Center's Intelligent robotics Group and the Dynamic Tensegrity robotics Lab (DTRL). The current SUPERball is the first full prototype of this tensegrity robot platform, eventually destined for space exploration missions. This work, building on prior published discussions of individual components, presents the fully-constructed robot. Various design improvements are discussed, as well as testing results of the sensors and actuators that illustrate system performance. Basic low-level motor position controls are implemented and validated against sensor data, which show SUPERball to be uniquely suited for highly dynamic state trajectory tracking. Finally, SUPERball is shown in a simple example of locomotion. This implementation of a basic motion primitive shows SUPERball in untethered control.

关键词： Robots Sensors Power cables Brushless DC motors Actuators

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Microscopic image segmentation using quantum inspired evolutionary algorithm

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Journal of Advanced Microscopy Research 2015年第3期10卷 164-173页

作者： Choudhury, Alokeparna Samanta, Sourav Dey, Nilanjan Ashour, Amira S. Balas-Timar, Dana Gospodinov, Mitko Gospodinova, Evgeniya Department of Computer Science and Engineering University Institute of Technology Burdwan West Bengal713104 India Department of Information Technology Techno India College of Technology Kolkata700156 India Department of Electronics and Electrical Communications Engineering Faculty of Engineering Tanta University 31527 Egypt Aurel Vlaicu University of Arad Arad310130 Romania Institute of Systems Engineering and Robotics Bulgarian Academy of Sciences Sofia1113 Bulgaria

Image segmentation has became an important research area for various medical imaging fields. The automated complex analytical process makes it a huge time consuming procedure. The intention to microscopic images segmentation is to extract the cellular, nuclear or tissue components. This is considered a challenging process due to the large variations of features of these components (size, shape, orientation or texture). In this paper, a novel approach to deal with rats' microscopic hippocampus images segmentation based on the hybrid evolutionary strategy (ES) is proposed. The proposed work used the quantum-inspired evolutionary algorithm (QIEA) to establish the optimal level for the multilevel thresholding. The QIEA depends on both quantum and evolutionary computing. An intensive works for automatic hippocampus segmentation is performed on a database of 179 images. The acquired results have demonstrated that the proposed algorithm provides superior segmentation with eight levels (L = 8), that offer the highest correlation between the original and the corresponding segmented image. © Copyright 2015 American Scientific Publishers All rights reserved.

关键词： Evolutionary algorithms

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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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Fault detection for nonlinear non-affine systems via sliding-mode output-feedback and HOSM differentiator

Fault detection for nonlinear non-affine systems via sliding...

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International Workshop on Variable Structure Systems, VSS

作者： H. Ríos E. Punta L. Fridman Department of Control Engineering and Robotics National Autonomous University of Mexico Mexico D.F National Research Council of Italy Institute of Electronics Computer and Telecommunication Engineering Torino Italy

This paper deals with the fault detection problem for nonlinear uncertain non-affine systems. The variable-structure output-feedback stabilization based on observer is required. Depending on the type of uncertainties, conditions are given under which convergence to the unique solution of both the system and the observer, and fault detection are achieved. Simulation results illustrate the feasibility of the proposed approach.

关键词： Vectors Uncertainty Observers Fault detection Jacobian matrices Manifolds Control systems

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Learning of motor skills based on grossness and fineness of movements in daily-life tasks

Learning of motor skills based on grossness and fineness of ...

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IEEE International Conference on robotics and Automation (ICRA)

作者： Sang Hyoung Lee Nam Jun Cho Il Hong Suh Education Center for Network-based Intelligent Robotics Hanyang University Seoul Korea Department of Electronics and Computer Engineering Hanyang University Seoul Korea

In this paper, we propose a novel method for learning motor skills based on grossness and fineness of movements involved in daily-life tasks. Grossness and fineness depend on the degrees of complexity (i.e., linear combinations between basis vectors) and repeatability (i.e., repeat accuracies between multiple trials) of such movements. In such a daily-life task, a robot's movements are usually related to a task-relevant object. Therefore, the complexity and the repeatability should be acquired from datasets that include the spatial and temporal relationships between a robot and a task-relevant object. To measure the degree of complexity, correlations are first obtained from each data by canonical correlation analysis. To measure the degree of repeatability, variations are then obtained from covariances between datasets acquired by multiple trials. The grossness and fineness are finally acquired by combining the correlations and the variations. To learn a motor skill, a Gaussian Mixture Model (GMM) is estimated using well-known methods as Principal Component Analysis (PCA), k-means, Bayesian Information Criterion (BIC), and Expectation-Maximization (EM) algorithms. First, initial parameters of a GMM are estimated by weighting a conventional k-means algorithm with the grossness and fineness. Based on PCA, BIC, and EM algorithms, the GMM is then estimated using the initial parameters and a robot's motion trajectories. To validate our proposed methods, the GMM is evaluated in terms of reproduction and recognition using a robot arm that performs two daily-life tasks: cookie-decorating and constrained-delivering tasks.

关键词： Correlation Robots Indexes Clustering algorithms Trajectory Principal component analysis Complexity theory

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Calculating Accurate Window Size for Shape-From-Focus

Calculating Accurate Window Size for Shape-From-Focus

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International Conference on Information Science and Applications (ICISA)

作者： Mannan Saeed Muhammad Husna Mutahira Kun-Woo Choi Whoi-Yul Kim Yasar Ayaz Department of Electronics and Computer Engineering Hanyang University Seoul Korea Department of Robotics and Artificial Intelligence National University of Sciences and Technology (NUST) Islamabad Pakistan

Shape from focus (SFF), represents a passive technique in recovering object shapes from scenes. In SFF systems, a single imaging device is used to acquire images followed by the application of Focus Measure (FM) at every point to obtain focus quality, to obtain depth by maximizing the focus curves. Although numerous focus measures have been recently proposed, less attention has been paid to the factors affecting them. In regard to FM, one such critical factor impacting SFF system applications is window size selection. In the paper in question, window size criteria for SFF systems have been formulated. The effect of change of imaging device parameters (such as image resolution, focal length of lens etc.) has also been analyzed. Experiments are performed on simulated and real objects to validate the proposed scheme.

关键词： Shape Microscopy Lenses Optical imaging Approximation methods Correlation Three-dimensional displays

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