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European Conference on Antennas and Propagation, EuCAP

作者： C. X. Mao S. Gao Z. P. Wang Y. Wang F. Qin B. Sanz-Izquierdo Q. X. Chu School of Engineering and Digital Arts University of Kent UK Department of Electrical Electronic& Computer Engineering University of Greenwich UK School of Electronic and Information Engineering South China University of Technology CHINA

An integrated design of a band-pass filter and a patch antenna is proposed in this paper by using an aperture coupled structure. Traditionally, the microwave filter and antenna are designed separately using 50 Ohm interface and then connected by transmission lines, which lead to a large size and more loss. Here, the antenna and microwave filter are directly integrated without a 50 Ohm interface between them. Compared with the traditional cascade designing, the co-design of filter and antenna has a more compact size, simpler configuration, improved frequency selectivity and higher system efficiency. The frequency bandwidth also can be controlled by adjusting the dimension of the coupling aperture in the ground. The measured results agree very well with the simulations, showing the filtering-antenna has good performance in impedance matching, radiation pattern and antenna gain.

关键词： Band-pass filters Resonator filters Microwave filters Filtering theory Apertures Bandwidth

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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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Social justice in control systems engineering 122

Social justice in control systems engineering

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2015 122nd ASEE Annual Conference and Exposition

作者： Johnson, Kathryn Leydens, Jon A. Moskal, Barbara M. Silva, Deborath Fantasky, Justin Stephen Colorado School of Mines Department of Electrical Engineering and Computer Science National Renewable Energy Laboratory National Wind Technology Center United States Division of Liberal Arts and International Studies Colorado School of Mines United States Department of Applied Mathematics and Statistics Trefny Institute for Educational Innovation Colorado School of Mines United States Colorado School of Mines United States

What occurs when social justice dimensions are integrated into a feedback control systems class, and what impacts does such integration have on student interest and motivation? Social justice defies a universal definition, but is related to the vision that people and communities have the right to equality (in various senses), to health, to dignity, and to opportunities. Social elements such as social justice may not be perceived as "engineering" by faculty and students, leading to an engineering workforce poorly trained in dealing with the social dimensions of sustainable engineering solutions. This important concept currently receives little attention within the standard engineering curricula, particularly within the engineering sciences. The pilot-study research presented in this article uses a mixed-methods approach to assess the state of social justice awareness of students as they enter an "Introduction to Feedback Control Systems" (IFCS) class. Social justice interventions are integrated to support students as they learn about the inherent, yet often invisible, connections between social justice and control systems engineering. Instruments, such as surveys and focus groups, were used to measure the impact of the social justice interventions. The results and findings from these analyses, considering both the section with interventions and a non-intervention section of the course, are reported here. This analysis supports that participants have had some exposure to social justice but struggle to place it within the context of technical engineering science core courses. However, the participants also provided feedback on specific mechanisms for integrating social justice dimensions within IFCS that are likely to promote future student learning. © American Society for engineering Education, 2015.

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Wireless Sensor Network and Big Data in Cooperative Fire Security system using HARMS

Wireless Sensor Network and Big Data in Cooperative Fire Sec...

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International Conference on Autonomous Robots and Agents, ICARA

作者： Bakytgul Khaday Eric T. Matson John Springer Young Ki Kwon Hansu Kim Sunbin Kim Daulet Kenzhebalin Cho Sukyeong Jinwoong Yoon Hong Seung Woo Computer and Information Technology Purdue University West Lafayette IN USA Computer Science and Engineering Chung-Ang University Seoul Korea Computer Science Dongguk University Seoul Korea Computer Science MyongJi University Seoul Korea Electrical Engineering Purdue University West Lafayette IN USA Computer Science Hanbat Natinal University Daejeon Korea Internet and Media Engineering Konkuk University Seoul Korea

Growing population and shortage of land in urban areas led to development of tall buildings. Tall buildings have advantages and at the same time disadvantages. One of the disadvantages is that they are not fully safe in fire situations, because fire trucks cannot reach them. Fire danger can be prevented and eliminated if it is detected early. Implementing WSN (Wireless Sensor Network) and Big Data and collecting-sending data to other members of Cooperative Fire Security System using Human Agent Robot Machine Sensor (CFS 2 H) messaging protocol establishes faster communication and collaboration among all the members of the whole system. The stationary WSN generates and analyzes the data and wirelessly communicates with other members of the system. Big Data is the central data manipulating center which communicates with all the system members and controls the whole system work. This paper presents detailed implementation and application of WSN and Big Data in cooperative firefighting system.

关键词： Wireless sensor networks Robot sensing systems Big data Robot kinematics Fires Multi-agent systems

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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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Corrigendum to “A pathway-based network analysis of hypertension-related genes” [Physica A 444 (2016) 928–939]

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Physica A: Statistical Mechanics and its Applications 2016年 447卷 569-570页

作者： Huan Wang Jing-Bo Hu Chuan-Yun Xu De-Hai Zhang Qian Yan Ming Xu Ke-Fei Cao Xu-Sheng Zhang School of Computer Science and Technology Baoji University of Arts and Sciences Baoji Shaanxi 721016 China Center for Nonlinear Complex Systems Department of Physics School of Physics Science and Technology Yunnan University Kunming Yunnan 650091 China School of Electronic and Electrical Engineering Baoji University of Arts and Sciences Baoji Shaanxi 721016 China School of Software Yunnan University Kunming Yunnan 650091 China School of Physics and Electronic Science Chuxiong Normal University Chuxiong Yunnan 675000 China School of Mathematical Sciences Kaili University Kaili Guizhou 556011 China Modelling and Economics Unit Centre for Infectious Disease Surveillance and Control Public Health England 61 Colindale Avenue London NW9 5EQ UK Medical Research Council Centre for Outbreak Analysis and Modelling Department of Infectious Disease Epidemiology School of Public Health Imperial College London Norfolk Place London W2 1PG UK

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How does it feel like? An exploratory study of a prototype system to convey emotion through haptic wearable devices

How does it feel like? An exploratory study of a prototype s...

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International Conference on Intelligent Technologies for Interactive Entertainment (INTETAIN)

作者： Antonella Mazzoni Nick Bryan-Kinns Media and Arts Technology Centre for Digital Music School of Electronic Engineering and Computer Science Queen Mary University of London Mile End London UK Interactional Sound and Music Centre for Digital Music School of Electronic Engineering and Computer Science Queen Mary University of London Mile End London UK

This paper reports on the design and implementation of a portable, hands-free, wearable haptic device that maps the emotions evoked by the music in a movie into vibrations, with the aim that hearing-impaired audience can get a sense of the emotional content carried by the music in specific movie scenes, and therefore feel (hear) the music through the sense of touch. A study of the use of the technology is reported which found that high arousal and high valence were reliably conveyed through haptic patterns with high intensity and high frequency, whereas haptic patterns with low intensity and low frequency conveyed low arousal and low valence.

关键词： Haptic interfaces Vibrations Motion pictures Music Entertainment industry Prototypes media

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SomaTech: An exploratory interface for altering movement habits

SomaTech: An exploratory interface for altering movement hab...

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32nd Annual ACM Conference on Human Factors in Computing Systems, CHI EA 2014

作者： Wang, Qiao Coleman, Grisha Turaga, Pavan Ingalls, Todd School of Electrical Computer and Energy Engineering School of Arts Media and Engineering Arizona State University Tempe AZ 85281 United States School of Arts Media and Engineering School of Film Dance and Theatre Arizona State University Tempe AZ 85281 United States

ISBN: (纸本)9781450324748

We propose SomaTech, a Kinect-based system that encourages users to expand understanding and awareness of their everyday movements. The system creates real-time auditory feedback based on the user's whole action, aiming toward re-education of habitual, potentially unsound movement patterns which are often ingrained within the brain. To do this, we draw inspiration from the field of somatics, which has well-studied prophylactic benefits. Our initial evaluation shows promising results that users become more aware of movement choices and are able to improve their efficiency after using the system.

关键词： Awareness Exploration Interface Kinect Learning Movement Somatics Sonification

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Shared Control of Human and Robot by Approximate Dynamic Programming

Shared Control of Human and Robot by Approximate Dynamic Pro...

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American Control Conference

作者： Yanan Li Keng Peng Tee Rui Yan Dilip Kumar Limbu Shuzhi Sam Ge Institute for Infocomm Research (I2R) Agency for Science Technology and Research (A*STAR) Singapore 138632 Department of Electrical and Computer Engineering and the Social Robotics Laboratory Interactive Digital Media Institute National University of Singapore Singapore 117576

ISBN: (纸本)9781479917730

In this paper, a framework of human-robot shared control is developed based on finding the solution to an optimization problem. Human dynamics are taken into account in the analysis of the coupled human-robot system, and objectives of both human and robot are considered. Approximate dynamic programming is employed to solve the optimization problem in the presence of unknown human and robot dynamics. The validity of the proposed method is verified through simulation studies.

关键词： dynamic programming Robot Human robot dynamics Approximate

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The status of KAGRA underground cryogenic gravitational wave telescope

arXiv

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arXiv 2017年

作者： Akutsu, T. Ando, M. Araya, A. Aritomi, N. Asada, H. Aso, Y. Atsuta, S. Awai, K. Barton, M.A. Cannon, K. Craig, K. Creus, W. Doi, K. Eda, K. Enomoto, Y. Flaminio, R. Fujii, Y. Fujimoto, M.-K. Furuhata, T. Haino, S. Hasegawa, K. Hashino, K. Hayama, K. Hirobayashi, S. Hirose, E. Hsieh, B.H. Inoue, Y. Ioka, K. Itoh, Y. Kaji, T. Kajita, T. Kakizaki, M. Kamiizumi, M. Kambara, S. Kanda, N. Kanemura, S. Kaneyama, M. Kang, G. Kasuya, J. Kataoka, Y. Kawai, N. Kawamura, S. Kim, C. Kim, H. Kim, J. Kim, Y. Kimura, N. Kinugawa, T. Kirii, S. Kitaoka, Y. Kojima, Y. Kokeyama, K. Komori, K. Kotake, K. Kumar, R. Lee, H. Lee, H. Liu, Y. Luca, N. Majorana, E. Mano, S. Marchio, M. Matsui, T. Matsushima, F. Michimura, Y. Miyakawa, O. Miyamoto, T. Miyamoto, A. Miyo, K. Miyoki, S. Morii, W. Morisaki, S. Moriwaki, Y. Morozumi, T. Musha, M. Nagano, S. Nagano, K. Nakamura, K. Nakamura, T. Nakano, H. Nakano, M. Nakao, K. Narikawa, T. Nguyen Quynh, L. Ni, W.-T. Ochi, T. Oh, J. Oh, S. Ohashi, M. Ohishi, N. Ohkawa, M. Okutomi, K. Oohara, K. Peña Alleano, F.E. Pinto, I. Sago, N. Saijo, M. Saito, Y. Sakai, K. Sakai, Y. Sasaki, Y. Sasaki, M. Sato, S. Sato, T. Sekiguchi, Y. Seto, N. Shibata, M. Shimoda, T. Shinkai, H. Shoda, A. Somiya, K. Son, E. Suemasa, A. Suzuki, T. Suzuki, T. Tagoshi, H. Takahashi, H. Takahashi, R. Takamori, A. Takeda, H. Tanaka, H. Tanaka, K. Tanaka, T. Tatsumi, D. Tomaru, T. Tomura, T. Travasso, F. Tsubono, K. Tsuchida, S. Uchikata, N. Uchiyama, T. Uehara, T. Ueki, S. Ueno, K. Ushiba, T. van Putten, M.H.P.M. Vocca, H. Wada, S. Wakamatsu, T. Yamada, T. Yamamoto, S. Yamamoto, T. Yamamoto, K. Yamamoto, A. Yokoyama, J. Yokozawa, T. Yoon, T.H. Yuzurihara, H. Zeidler, S. Zhu, Z.-H. National Astronomical Observatory of Japan Mitaka Tokyo181-8588 Japan Department of Physics University of Tokyo Bunkyo Tokyo113-0033 Japan Earthquake Research Institute University of Tokyo Bunkyo Tokyo113-0032 Japan Department of Advanced Physics Hirosaki University Hirosaki Aomori036-8561 Japan National Astronomical Observatory of Japan Hida Gifu506-1205 Japan Department of Physics Tokyo Institute of Technology Meguro Tokyo152-8551 Japan Institute for Cosmic Ray Research University of Tokyo Hida Gifu506-1205 Japan Research Center for the Early Universe University of Tokyo Bunkyo Tokyo113-0033 Japan Institute for Cosmic Ray Research University of Tokyo Kashiwa Chiba277-8582 Japan Institute of Physics Academia Sinica Nankang Taipei11529 Taiwan Department of Physics University of Toyama Toyama Toyama930-8555 Japan Faculty of Engineering University of Toyama Toyama Toyama930-8555 Japan Yukawa Institute for Theoretical Physics Kyoto University Sakyo Kyoto606-8502 Japan Department of Physics Osaka City University Sumiyosi Osaka558-8585 Japan Department of Physics Osaka University Toyonaka Osaka560-0043 Japan Korea Institute of Science and Technology Information Yuseong Daejeon34141 Korea Republic of Daejeon Yuseong34055 Korea Republic of National Institute for Mathematical Sciences Daejeon34047 Korea Republic of Department of Computer Simulation Inje University Gimhae Gyeongsangnam50834 Korea Republic of Department of Physics and Astronomy Seoul National University Seoul151-742 Korea Republic of High Energy Accelerator Research Organization Tsukuba Ibaraki305-0801 Japan Department of Physical Science Hiroshima University Higashihiroshima Hiroshima903-0213 Japan Department of Applied Physics Fukuoka University Jonan Fukuoka814-0180 Japan Department of Advanced Materials Science University of Tokyo Kashiwa Chiba277-8582 Japan Istituto Nazionale di Fisica Nucleare Sapienza University Roma00185 Italy D

KAGRA is a 3-km interferometric gravitational wave telescope located in the Kamioka mine in Japan. It is the first km-class gravitational wave telescope constructed underground to reduce seismic noise, and the first km-class telescope to use cryogenic cooling of test masses to reduce thermal noise. The construction of the infrastructure to house the interferometer in the tunnel, and the initial phase operation of the interferometer with a simple 3-km Michelson configuration have been completed. The first cryogenic operation is expected in 2018, and the observing runs with a full interferometer are expected in 2020s. The basic interferometer configuration and the current status of KAGRA are described. Copyright © 2017, The Authors. All rights reserved.

关键词： Interferometers

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