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26th Annual Computational Neuroscience Meeting (CNS*2017) of the Organization for Computational Neuroscience Antwerp, Belgium, July 15-20, 2017

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BMC NEUROscience 2017年第SUPPL 1期18卷 59-59页

作者： [Anonymous] Indiana University Purdue University Indianapolis Indianapolis IN 46032 USA Stark Neurosciences Research Institute Indiana University School of Medicine Indianapolis IN 46032 USA Department of Mathematics East Carolina University Greenville NC 27858 USA Jülich Supercomputing Centre Forschungszentrum Jülich 52425 Jülich Germany Future Systems Swiss National Supercomputing Centre 8092 Zurich Switzerland User Engagement and Support Swiss National Supercomputing Centre 6900 Lugano Switzerland Institut de Neurosciences des Systèmes Aix Marseille Univ 13005 Marseille France Simulation Lab Neuroscience Forschungszentrum Jülich Jülich Germany Department of Experimental Psychology Ghent University 9000 Ghent Belgium Donders Center for Cognitive Neuroimaging Radboud University 6525HR Nijmegen The Netherlands Department of Electrical Computer and Energy Engineering University of Colorado Boulder CO 80309 USA Department of Neurosurgery Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Neurology Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Otolaryngology Johns Hopkins School of Medicine Baltimore MD 21287 USA INSERM U968 Paris France Sorbonne Universités UPMC University Paris 06 UMR_S 968 Institut de la Vision Paris France CNRS UMR_7210 Paris France Department of Computer Architecture and Technology University of Granada (CITIC) Granada Spain Sorbonne Universités UPMC Univ Paris 06 INSERM CNRS Institut de la Vision Paris France Department of Adaptive Machine Systems Osaka University Osaka Japan Department of Computer Science University of Cergy-Pontoise Cergy-Pontoise France Department of Physics and Astronomy College of Charleston Charleston SC 29424 USA School of Physics Faculty of Science University of Sydney Sydney NSW 2006 Australia Center of Excellence for Integrative Brain Function Australian Research Council Sydney Australia Max Planck Institute for Human Cognitive and Brain Sciences Saxony Lei

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High Power LED Luminaire Design Optimization

High Power LED Luminaire Design Optimization

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IEEE International Conference on Environment and Electrical engineering

作者： Jose Luiz F. Barbosa Wesley P. Calixto Dan Simon University of Brasilia Program in Electronic Systems and Automation (PGEA) Brasilia-DF Brazil Cleveland State University Department of Electrical Engineering and Computer Science Cleveland Ohio USA

ISBN: (纸本)9781509023219

A methodology for optimizing the geometry of a high power (HP) light emitting diode (LED) luminaire is presented in this paper. The arrangement of a HP-LED luminaire is evaluated, technically and economically, for outdoor lighting. Parameters that affect both heat dissipation and lighting efficiency are considered. A finite element method (FEM) simulator is used to determine the thermal analysis and a stochastic ray tracing simulator is used to perform the lighting distribution. The thermal analysis of a HP-LED luminaire model is simulated and validated with 7.5% average error in LED temperature. An evaluation function is developed that considers the illuminance distribution on the target plane and the maximum temperature that reaches the LED chip. Optimized thermal and luminous results are presented and discussed.

关键词： high power LED LED luminaire optimization illuminance distribution thermal heat dissipation

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Superconductivity and frozen electronic states at the (111) LaAlO3/SrTiO3 interface

arXiv

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arXiv 2017年

作者： Davis, S. Huang, Z. Han, K. Ariando Venkatesan, T. Chandrasekhar, V. Graduate Program in Applied Physics Department of Physics and Astronomy Northwestern University 2145 Sheridan Road EvanstonIL60208 United States NUSNNI-Nanocore National University of Singapore 117411 Singapore Department of Physics National University of Singapore 117551 Singapore NUS Graduate School for Integrative Sciences & Engineering National University of Singapore 117456 Singapore NUSNNI-NanoCore National University of Singapore 117411 Singapore Department of Physics National University of Singapore 117542 Singapore Department of Electrical and Computer Engineering National University of Singapore 117576 Singapore Department of Material Science and Engineering National University of Singapore 117575 Singapore

In spite of Anderson’s theorem1, disorder is known to affect superconductivity in conventional s-wave superconductors2–11. In most superconductors, the degree of disorder is fixed during sample preparation. Here we report measurements of the superconducting properties of the two-dimensional gas that forms at the interface between LaAlO3 (LAO) and SrTiO3 (STO) in the (111) crystal orientation, a system that permits in situ tuning of carrier density and disorder by means of a back gate voltage Vg. Like the (001) oriented LAO/STO interface12–15, superconductivity at the (111) LAO/STO interface can be tuned by Vg. In contrast to the (001) interface, superconductivity in these (111) samples is anisotropic, being different along different interface crystal directions, consistent with the strong anisotropy already observed other transport properties at the (111) LAO/STO interface16,17. In addition, we find that the (111) interface samples "remember" the backgate voltage VF at which they are cooled at temperatures near the superconducting transition temperature Tc, even if Vg is subsequently changed at lower temperatures. The low energy scale and other characteristics of this memory effect ( Copyright © 2017, The Authors. All rights reserved.

关键词： Aluminum compounds

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Anytime RRBT for handling uncertainty and dynamic objects

Anytime RRBT for handling uncertainty and dynamic objects

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IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： Hyunchul Yang Jongwoo Lim Sung-eui Yoon Robotics Program KAIST Daejeon South Korea Division of Computer Science and Engineering Hanyang University Seoul South Korea School of Computing KAIST Daejeon South Korea

ISBN: (纸本)9781509037636

We present an efficient anytime motion planner for mobile robots that considers both other dynamic obstacles and uncertainty caused by various sensors and low-level controllers. Our planning algorithm, which is an anytime extension of the Rapidly-exploring Random Belief Tree (RRBT), maintains the best possible path throughout the robot execution, and the generated path gets closer to the optimal one as more computation resources are allocated. We propose a branch-and-bound method to cull out unpromising areas by considering path lengths and uncertainty. We also propose an uncertainty-aware velocity obstacle as a simple local analysis to avoid dynamic obstacles efficiently by finding a collision-free velocity. We have tested our method with three benchmarks that have non-linear measurement regions or potential collisions with dynamic obstacles. By using the proposed methods, we achieve up to five times faster performance given a fixed path cost.

关键词： Uncertainty Mobile robots LOW LEVEL Byways Branch and bound methods barriers

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MATLAB-based analysis of labor dispatch and work distribution: An example involving caseworkers in central Taiwan

MATLAB-based analysis of labor dispatch and work distributio...

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International Conference on Applied System Innovation (ICASI)

作者： Chin-Yu Oh Meng-Chueh Hsu Chang-Ming Tsai Jyun-Yao Jhang Yu-Ren Chen Bo-Xiang Chen Yi-Chung Chen Chun-Wen Teng Shu-Hui Chen Department of Information Engineering and Computer Science Feng Chia University Taichung Taiwan R.O.C. Ph. D. Program of Business Feng Chia University Taichung Taiwan R.O.C. The Graduate Institute of Public Policy and social innovation Feng Chia University Taichung Taiwan R.O.C. General Education Center Feng Chia University Taichung Taiwan R.O.C.

ISBN: (纸本)9781509048984

The dispatching of labor and distribution of tasks among workers are important aspects of corporate operations. Labor dispatch refers to the dispatching of employees to meet with clients; however, dispatches commonly vary with time. This means that any analysis pertaining to labor dispatch and work distribution should also vary with time. In this study, MATLAB was used to analyze data from anonymous caseworkers in central Taiwan in order to identify relationships between the location of their offices and the homes of their clients. Our aim was to determine the rationality behind labor dispatch and work distribution. This led us to develop a novel method by which to dispatch labor in order to achieve a more equitable distribution of work. Simulations demonstrate the efficacy of the proposed scheme in improving labor dispatch and work distribution.

关键词： Dispatching Technological innovation MATLAB Feature extraction Roads Urban areas Conferences

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A web-based classroom learning and tutoring framework for Mandarin as second language students

A web-based classroom learning and tutoring framework for Ma...

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International Conference on Applied System Innovation (ICASI)

作者： Pohsiang Tsai Liching Chang Department of Computer Science and Information Engineering (CSIE) National Formosa University Yunlin Taiwan International Chinese Language Program (ICLP) National Taiwan University Taipei Taiwan

ISBN: (纸本)9781467398893

Mandarin language has become one of the most important official languages in the world. Thanks to web-based information technology (IT), Mandarin as Second Language (MSL) students no longer need to attend conventional Mandarin learning classrooms; they can facilitate learning via an E-learning platform at home as long as they have internet access. In this study, we aim at providing a generic framework that highlights some essential components that play important roles in developing the E-Learning system. That is, learning component and tutoring component. The traditional learning component only provides passive teaching without active tutoring; that is to say, an MSL student could only learn the materials provided on the platform and does the learning assessment alone. If there were intelligent automatic mechanisms that could be in support for Mandarin learning; when the MSL learner makes mistakes, especially in grammar or synonym, this platform would mentor this learner.

关键词： Education Multimedia communication History Scalability Authentication Maintenance engineering

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NEW ERA SOFTWARE DEFINED NETWORK

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China Communications 2016年第3期13卷 I0002-I0003页

作者： Bi Jun Seungwon Shin Kai Chen network architecture research division institute for network sciences and cyberspace at tsinghua university asiafi (asia future internet forum) steering group china sdn commission infocom icnp mobihoc icccn organization committee or technical program committees at sigcomm icnp infocom co next sosr/hot sdn the school of computing kaist open networking foundation (onf) department of computer science and engineering hong kong university of science and technology

Software-Defined Networking(SDN)is now considered as one of the promising future networking technologies,and this trend can be clearly verified by observing activities of both industry and *** industry,we can easily n... 详细信息

关键词：网络公司软件定义 SDN 工业界学术界思科

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A Hybrid Deep Learning Forecasting Model Using GPU Disaggregated Function Evaluations Applied for Household Electricity Demand Forecasting

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Energy Procedia 2016年 103卷 280-285页

作者： Vitor N. Coelho Igor M. Coelho Eyder Rios Alexandre S.T. Filho Agnaldo J.R. Reis Bruno N. Coelho Alysson Alves Guilherme G. Netto Marcone J.F. Souza Frederico G. Guimarães Graduate Program in Electrical Engineering Universidade Federal de Minas Gerais Belo Horizonte Brazil Instituto de Pesquisa e Desenvolvimento de Tecnologias Ouro Preto Brazil Department of Computer Science State University of Rio de Janeiro Rio de Janeiro Brazil Institute of Computer Science Fluminense Federal University Niteroi Brazil Department of Control Engineering and Automation Universidade Federal de Ouro Preto Ouro Preto Brazil Department of Computer Science Universidade Federal de Ouro Preto Ouro Preto Brazil Department of Electrical Engineering Universidade Federal de Minas Gerais BeloHorizonte Brazil

As the new generation of smart sensors is evolving towards high sampling acquisitions systems, the amount of information to be handled by learning algorithms has been increasing. The Graphics Processing Unit (GPU) architectures provide a greener alternative with low energy consumption for mining big-data, harnessing the power of thousands of processing cores in a single chip, opening a widely range of possible applications. Here, we design a novel evolutionary computing GPU parallel function evaluation mechanism, in which different parts of time series are evaluated by different processing threads. By applying a metaheuristics fuzzy model in a low-frequency data for household electricity demand forecasting, results suggested that the proposed GPU learning strategy is scalable as the number of training rounds increases.

关键词： Microgrid Household Electricity Demand Deep Learning Graphics Processing Unit Parallel forecasting model Big Time-series Data

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A low-cost, open-source, compliant hand for enabling sensorimotor control for people with transradial amputations

A low-cost, open-source, compliant hand for enabling sensori...

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

作者： Aadeel Akhtar Kyung Yun Choi Michael Fatina Jesse Cornman Edward Wu Joseph Sombeck Chris Yim Patrick Slade Jason Lee Jack Moore Daniel Gonzales Alvin Wu Garrett Anderson David Rotter Cliff Shin Timothy Bretl Neuroscience Program and Medical Scholars Program Dept. of Aerospace Engineering Dept. of Electrical & Computer Engineering Dept. of Mechanical Science & Engineering Rehabilitation Counseling Program Center for Wounded Veterans Scheck & Siress Prosthetics Orthotics Chicago IL USA Industrial Design Program University of Illinois at Urbana-Champaign Urbana IL USA

In this paper, we describe the design and implementation of a low-cost, open-source prosthetic hand that enables both motor control and sensory feedback for people with transradial amputations. We integrate electromyographic pattern recognition for motor control along with contact reflexes and sensory substitution to provide feedback to the user. Compliant joints allow for robustness to impacts. The entire hand can be built for around $550. This low cost makes research and development of sensorimotor prosthetic hands more accessible to researchers worldwide, while also being affordable for people with amputations in developing nations. We evaluate the sensorimotor capabilities of our hand with a subject with a transradial amputation. We show that using contact reflexes and sensory substitution, when compared to standard myoelectric prostheses that lack these features, improves grasping of delicate objects like an eggshell and a cup of water both with and without visual feedback. Our hand is easily integrated into standard sockets, facilitating long-term testing of sensorimotor capabilities.

关键词： Visualization Grasping Electromyography Sockets Motor drives Pattern recognition Prosthetics

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Market Basket Analysis Using Apriori and FP-Growth for Analysis Consumer Expenditure Patterns at Berkah Mart in Pekanbaru Riau

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Journal of Physics: Conference Series 2018年第1期1114卷

作者： Mustakim Della Maulina Herianda Ahmad Ilham Achmad Daeng GS Folkes E. Laumal Nuning Kurniasih Akbar Iskandar Gloria Manulangga Ida Bagus Ary Indra Iswara Robbi Rahim Puzzle Research Data Technology UIN Sultan Syarif Kasim Riau Indonesia Department of Information System UIN Sultan Syarif Kasim Riau indonesia Informatics Department Universitas Muhammadiyah Semarang Semarang Indonesia Department of Management University of 45 Surabaya Surabaya Indonesia Department of Electrical Engineering Politeknik Negeri Kupang Kupang Indonesia Faculty of Communication Sciences Library and Information Science Program UniversitasPadjadjaran Bandung Indonesia Informatics Engineering STMIK AKBA Makassar Indonesia Informatics Department STMIK STIKOM Indonesia Denpasar Indonesia School of Computer and Communication Engineering Universiti Malaysia Perlis Kubang Gajah Malaysia

Berkah Mart is one of the new minimarkets in Pekanbaru city which began to develop as a retail business to meet the needs of the community. In his operation, Berkah Mart still uses the traditional store management perception that the placement of product layout on sale shelves has not been through sales analysis. Existing products have not been reviewed from the consumer's point of view, whereas the marketing economics concept provides a variety of product and consumer management methods for business management in Berkah Mart, including market bucket analysis techniques and various itemset search algorithms. In this research, Market Basket Basket Analysis with FP-Growth algorithm is proposed to determine the layout and planning of goods availability. The application of FP-Growth algorithm proved to be useful in generating many and informative association rules to find out the consumer spending pattern at Berkah Mart in Pekanbaru. Moreover, from the rules of the customer association can be segmented separately to meet the specific needs of customers with cost-effective by using some special promotions for the general group. The experimental results show that FP-Growth algorithm can analyze quickly and efficiently informing consumer shopping pattern at Berkah Mart and can increase Berkah Mart revenue.

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