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IEEE Annual Conference on Decision and Control

作者： Xuebo Zhang Xiang Chen Xiao Liang Yongchun Fang Institute of Robotics and Automatic Information System and also Tianjin Key Laboratory of Intelligent Robotics Nankai University Tianjin 300071 China Department of Electrical and Computer Engineering University of Windsor Ontario Canada N9B 3P4

ISBN: (纸本)9781479978878

We propose a new sensor-to-point 'coverage distance' to address the anisotropic sensing property of directional sensors. This new coverage distance is then employed to design a distributed coverage optimization algorithm for deployment of directional sensor networks. Different from existing approaches, the newly proposed coverage distance takes advantage of homeomorphism, which could reflect the relationship between the isotropic and the anisotropic spaces. Based on the interpretation of physical sensing models, a homeomorphism is first constructed so that the original anisotropic sensing space is mapped into an isotropic sensing space, in which the sensor-to-point 'coverage distance' can be defined through the Euclidean distance. Then, the coverage distance is used to generate an appropriate scene partition, called 'Directional Voronoi Partition' (DVP), which warrants the design and implementation of a distributed coverage optimization algorithm for deployment of directional sensor networks. The developed method is tested with an circular sector sensor. Simulation results are provided to verify the effectiveness of the proposed approach.

关键词： Robot sensing systems Optimization Euclidean distance Algorithm design and analysis Silicon

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Regression based on neural incremental attribute learning with correlation-based feature ordering

Regression based on neural incremental attribute learning wi...

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IEEE Conference on Cybernetics and intelligent systems

作者： Ting Wang Xiaoyan Zhu Sheng-Uei Guan Ka Lok Man T. O. Ting State Key Laboratory of Intelligent Technology and Systems Tsinghua University Beijing Wuxi China Department of {Computer Science and Software Engineering Electrical and Electronic Engineering} Xi'an Jiaotong-Liverpool University Suzhou China

Incremental Attribute Learning (IAL) gradually trains features in one or more size, which can be used to solve regression problems. Previous studies showed that feature ordering is crucial to IAL, and features should be sorted by some criteria. This study proposed two new feature ordering methods based on feature's group correlation and individual correlation for different situations. Experimental results show that grouped correlation-based feature ordering approach can exhibit better performance than others based on IAL neural networks in regression. Moreover, the performance of this approach is more stable than individual correlation-based approaches and some other approaches.

关键词： Correlation Correlation coefficient Neural networks Regression analysis Training Error analysis Pattern recognition

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DESYNCHRONIZATION OF TWO COUPLED LIMIT-CYCLE OSCILLATORS USING AN ASTROCYTE-INSPIRED CONTROLLER

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International Journal of Biomathematics 2014年第1期7卷 1-23页

作者： GHAZAL MONTASERI MOHAMMAD JAVAD YAZDANPANAH Advanced Control Systems Laboratory School of Electrical and Computer EngineeringCollege of Engineering University of Tehran Tehran Iran Advanced Control Systems LaboratoryControl and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran

Astrocytes have potential to break synchrony between neurons. Authors＇ recent researches reveal that astrocytes vary the synchronization threshold and provide an appropriate feedback control in stabilizing neural activities. In this study, we propose an astrocyte-inspired controller for desynchronization of two coupled limit-cycle oscillators as a minimal network model. The design procedure consists of two parts. First, based on the astrocyte model, the structure of the dynamic controller is suggested. Then, to have an emcient controller, parameters of controller are tuned through an optimization algo- rithm. The proposed bio-inspired controller takes advantages of three important proper- ties：（1） the controller desynchronizes the oscillators without any undesirable effects （e.g. stopping, annihilating or starting divergent oscillations）; （2） it consumes little effort to preserve the desirable desynchronized state; and （3） the controller is robust with respect to parameters＇ variations. Simulation results reveal the ability of the proposed controller.

关键词： Astrocyte dynamic model bio-inspired controller coupled limit-cycle oscillators desynchronization optimization

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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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Gene expression imputation across multiple brain regions provides insights into schizophrenia risk (vol 51, pg 659, 2019)

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NATURE GENETICS 2019年第6期51卷 1068-1068页

作者： Huckins, Laura M. Dobbyn, Amanda Ruderfer, Douglas M. Hoffman, Gabriel Wang, Weiqing Pardinas, Antonio F. Rajagopal, Veera M. Als, Thomas D. Nguyen, Hoang T. Girdhar, Kiran Boocock, James Roussos, Panos Fromer, Menachem Kramer, Robin Domenici, Enrico Gamazon, Eric R. Purcell, Shaun Demontis, Ditte Borglum, Anders D. Walters, James T. R. O'Donovan, Michael C. Sullivan, Patrick Owen, Michael J. Devlin, Bernie Sieberts, Solveig K. Cox, Nancy J. Im, Hae Kyung Sklar, Pamela Stahl, Eli A. Pamela Sklar Division of Psychiatric Genomics Icahn School of Medicine at Mount Sinai New York NY USA Department of Genetics and Genomics Icahn School of Medicine at Mount Sinai New York NY USA Department of Psychiatry Icahn School of Medicine at Mount Sinai New York NY USA Icahn Institute for Genomics and Multiscale Biology Icahn School of Medicine at Mount Sinai New York NY USA Vanderbilt University Medical Center Nashville TN USA MRC Centre for Neuropsychiatric Genetics and Genomics Cardiff University Cardiff UK Department of Biomedicine Aarhus University Aarhus Denmark The Lundbeck Foundation Initiative for Integrative Psychiatric Research iPSYCH Denmark Center for Integrative Sequencing Aarhus University Aarhus Denmark Department of Human Genetics David Geffen School of Medicine University of California Los Angeles Los Angeles CA USA Human Brain Collection Core National Institute of Mental Health Bethesda MD USA Laboratory of Neurogenomic Biomarkers Centre for Integrative Biology (CIBIO) University of Trento Trento Italy Clare Hall University of Cambridge Cambridge UK University of North Carolina at Chapel Hill Chapel Hill NC USA Karolinska Institutet Stockholm Sweden Department of Psychiatry University of Pittsburgh Pittsburgh PA USA Systems Biology Sage Bionetworks Seattle WA USA Section of Genetic Medicine Department of Medicine University of Chicago Chicago IL USA Integrated Technology Research Laboratories Pharmaceutical Research Division Takeda Pharmaceutical Company Limited Fujisawa Japan Neuropsychiatry Section Department of Psychiatry Perelman School of Medicine University of Pennsylvania Philadelphia PA USA Neuropsychiatric Signaling Program Department of Psychiatry Perelman School of Medicine University of Pennsylvania Philadelphia PA USA Psychiatry JJ Peters Virginia Medical Center Bronx NY USA Department of Neuroscience Icahn School of Medicine at Mount Sinai New York New York NY USA Friedman Brain Institute

Transcriptomic imputation approaches combine eQTL reference panels with large-scale genotype data in order to test associations between disease and gene expression. These genic associations could elucidate signals in complex genome-wide association study (GWAS) loci and may disentangle the role of different tissues in disease development. We used the largest eQTL reference panel for the dorso-lateral prefrontal cortex (DLPFC) to create a set of gene expression predictors and demonstrate their utility. We applied DLPFC and 12 GTEx-brain predictors to 40,299 schizophrenia cases and 65,264 matched controls for a large transcriptomic imputation study of schizophrenia. We identified 413 genic associations across 13 brain regions. Stepwise conditioning identified 67 non-MHC genes, of which 14 did not fall within previous GWAS loci. We identified 36 significantly enriched pathways, including hexosaminidase-A deficiency, and multiple porphyric disorder pathways. We investigated developmental expression patterns among the 67 non-MHC genes and identified specific groups of pre- and postnatal expression.

关键词： Gene expression Genome-wide association studies Schizophrenia Transcriptomics

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An Unsupervised Methodology for the Detection of Epileptic Seizures in long-term EEG signals

An Unsupervised Methodology for the Detection of Epileptic S...

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IEEE International Conference on Bioinformatics and Bioengineering

作者： Kostas M. Tsiouris Spiros Konitsiotis Sofia Markoula Dimitrios D. Koutsouris Antonis I. Sakellarios Dimitrios I. Fotiadis Biomedical Engineering Laboratory School of Electrical and Computer Engineering National Technical University of Athens Department of Neurology Medical School University of Ioannina University Hospital of Ioannina Institute of Communication and Computer Systems Unit of Medical Technology and Intelligent Information Systems Department of Materials Science and Engineering and the Biomedical Research Department FORTH-IMBB University of Ioannina

ISBN: (纸本)9781467379847

An unsupervised methodology for the detection of Epileptic seizures in EEG recordings is proposed. The time-frequency content of the EEG signals is extracted using the Short Time Fourier Transform. The analysis focuses on the EEG energy distribution among the well-established delta, theta and alpha rhythms (2-13 Hz), as energy variations in these frequency bands are widely associated with seizure activity. Relying on seizure rhythmicity, the classification is performed by isolating the segments where each rhythm is more clearly and dominantly expressed over the others. For the first time, an unsupervised methodology is evaluated using more than 978 hours of EEG recordings from a public database. The results show that the proposed methodology achieves high seizure detection sensitivity with significantly reduced human intervention.

关键词： Electroencephalography Sensitivity Databases Inspection Visualization Time-frequency analysis Fourier transforms

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Model Predictive Control of a Wheeled Inverted Pendulum Robot

Model Predictive Control of a Wheeled Inverted Pendulum Robo...

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RSI/ISM International Conference on robotics and Mechatronics

作者： Navid Dini Vahid Johari Majd Intelligent Control Systems Laboratory School of Electrical and Computer Engineering Tarbiat Modares University Tehran Iran Intelligent Control Systems Laboratory School of Electrical and Computer Engineering Tarbiat Modares University Tehran Iran

ISBN: (纸本)9781467372350

In this paper, a model predictive control method, namely the Generalized Predictive Control (GPC), has been applied to a two wheeled inverted pendulum robot. First, the dynamic equations of a Segway-like 2-wheeled inverted pendulum robot has been derived. The GPC method has been employed so that the output of the closed loop system tracks a desired trajectory. The comparison of the results with that of a classical tracking control method shows that the GPC controller has produced a better tracking performance for the robot.

关键词： Wheeled Inverted Pendulum Robot Model Based Predictive Control Generalized Predictive Control Segway Robot

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A Largely Model Independent Solution for the Position Control of a Typical Inverted Pendulum System 33

A Largely Model Independent Solution for the Position Contro...

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第三十三届中国控制会议

作者： GAO Qiang CHEN Shasha LI Yi LI Junfang Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems School of Electrical EngineeringTianjin University of Technology Tianjin Key Laboratory of Intelligent Robotics Nankai University

ISBN: (纸本)9781479947249

An Active Disturbance Rejection based solution is proposed for the position control of a standard inverted pendulum system, demonstrating a largely model independent design that is distinctly different from existing model-based designs from classical as well as modern control theory. The quality of the control loop is further improved with a unique double disturbance observer design, which rejects independently the disturbance and uncertainty in both the pendulum itself and the cart that carries it. This proposed approach offers a promising and practical solution because it's intuitive to understand and easy to tune, in addition to its strong performance and effectiveness shown in both simulation study and real time experimentation.

关键词： ADRC LESO Inverted pendulum Real-time control

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A New Approach for Voltage Control Area Identification Based on Reactive Power Sensitivities

A New Approach for Voltage Control Area Identification Based...

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North American Power Symposium

作者： Rabindra Maharjan Sukumar Kamalasadan Energy and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of North Carolina-Charlotte

ISBN: (纸本)9781467373906

This paper presents a new method for determining coherent bus group called voltage control area (VCA) based on reactive power control capabilities of that area. VCA can be used in voltage stability assessment and optimal reactive power allocation. The proposed method is based on the sensitivity of reactive power of generator to reactive power of load which is the direct relation between the production and consumption of reactive power in the system. The results are shown for the New England 39 bus test system and 68 bus test system.

关键词： Voltage Control Area Reactive power and voltage control Voltage stability

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Robotic Software System for the Disaster Circumstances: System of Team KAIST in the DARPA robotics Challenge Finals

Robotic Software System for the Disaster Circumstances: Syst...

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IEEE-RAS International Conference on Humanoid Robots

作者： Jeongsoo Lim Inwook Shim Okkee Sim Hyunmin Joe Inhyeok Kim Jungho Lee Jun-Ho Oh Humanoid Research Center School of Mechanical Aerospace & Systems Engineering Department of Mechanical Engineering Korea Advanced Institute of Science and Technology Robotics and Computer Vision Laboratory Department of Electrical Engineering College of Information Science and Technology Korea Advanced Institute of Science and Technology Rainbow Co.

ISBN: (纸本)9781479968862

We developed a software system for operating the humanoid robot DRC-HUBO+ in disaster circumstances that the US Defense Advanced Research Projects Agency suggested. This system was developed under the consideration of the stability of whole system, the systemic software environment for multiple developers, and the recovery routine when the system encounters a seriously abnormal situation. With these design goals, we devised our strategy for three domains: system, vision, and communication. Following the strategy we made two software frameworks (PODO and VPC) and one logical flow of data for remote process management. With this software system, we conducted all Tasks in the DARPA robotics Challenge Finals, and we won the competition.

关键词： Software systems DARPA design target robotics Disasters Religious Missions flow datas

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