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arXiv 2019年

作者： Akutsu, T. Ando, M. Arai, K. Arai, Y. Araki, S. Araya, A. Aritomi, N. Asada, H. Aso, Y. Atsuta, S. Awai, K. Bae, S. Bae, Y. Baiotti, L. Bajpai, R. Barton, M.A. Cannon, K. Capocasa, E. Chan, M. Chen, C. Chen, K. Chen, Y. Chu, H. Chu, Y.-K. Craig, K. Creus, W. Doi, K. Eda, K. Eguchi, S. Enomoto, Y. Flaminio, R. Fujii, Y. Fujimoto, M.-K. Fukunaga, M. Fukushima, M. Furuhata, T. Ge, G. Hagiwara, A. Haino, S. Hasegawa, K. Hashino, K. Hayakawa, H. Hayama, K. Himemoto, Y. Hiranuma, Y. Hirata, N. Hirobayashi, S. Hirose, E. Hong, Z. Hsieh, B.H. Huang, G.-Z. Huang, P. Huang, Y. Ikenoue, B. Imam, S. Inayoshi, K. Inoue, Y. Ioka, K. Itoh, Y. Izumi, K. Jung, K. Jung, P. Kaji, T. Kajita, T. Kakizaki, M. Kamiizumi, M. Kanbara, S. Kanda, N. Kanemura, S. Kaneyama, M. Kang, G. Kasuya, J. Kataoka, Y. Kawaguchi, K. Kawai, N. Kawamura, S. Kawasaki, T. Kim, C. Kim, J.C. Kim, W.S. Kim, Y.-M. Kimura, N. Kinugawa, T. Kirii, S. Kita, N. Kitaoka, Y. Kitazawa, H. Kojima, Y. Kokeyama, K. Komori, K. Kong, A.K.H. Kotake, K. Kozakai, C. Kozu, R. Kumar, R. Kume, J. Kuo, C. Kuo, H.-S. Kuroyanagi, S. Kusayanagi, K. Kwak, K. Lee, H.K. Lee, H.M. Lee, H.W. Lee, R. Leonardi, M. Lin, C. Lin, C.-Y. Lin, F.-L. Liu, G.C. Liu, Y. Luo, L. Majorana, E. Mano, S. Marchio, M. Matsui, T. Matsushima, F. Michimura, Y. Mio, N. Miyakawa, O. Miyamoto, A. Miyamoto, T. Miyazaki, Y. Miyo, K. Miyoki, S. Morii, W. Morisaki, S. Moriwaki, Y. Morozumi, T. Musha, M. Nagano, K. Nagano, S. Nakamura, K. Nakamura, T. Nakano, H. Nakano, M. Nakao, K. Nakashima, R. Narikawa, T. Naticchioni, L. Negishi, R. Nguyen Quynh, L. Ni, W.-T. Nishizawa, A. Obuchi, Y. Ochi, T. Ogaki, W. Oh, J.J. Oh, S.H. Ohashi, M. Ohishi, N. Ohkawa, M. Okutomi, K. Oohara, K. Ooi, C.P. Oshino, S. Pan, K. Pang, H. Park, J. Peña Arellano, F.E. Pinto, I. Sago, N. Saijo, M. Saito, S. Saito, Y. Sakai, K. Sakai, Y. Sakai, Y. Mitaka City Tokyo181-8588 Japan Japan Department of Physics University of Tokyo Bunkyo-ku Tokyo113-0033 Japan University of Tokyo Bunkyo-ku Tokyo113-0033 Japan KAGRA Observatory University of Tokyo Kashiwa City Chiba277-8582 Japan Tsukuba City Ibaraki305-0801 Japan Earthquake Research Institute University of Tokyo Bunkyo-ku Tokyo113-0032 Japan Department of Mathematics and Physics Hirosaki University Hirosaki City Aomori036-8561 Japan Kamioka-cho Hida City Gifu506-1205 Japan Mitaka City Tokyo181-8588 Japan Graduate School of Science and Technology Tokyo Institute of Technology Meguro-ku Tokyo152-8551 Japan KAGRA Observatory University of Tokyo Kamioka-cho Hida City Gifu506-1205 Japan Yuseong-gu Daejeon34141 Korea Republic of National Institute for Mathematical Sciences Daejeon34047 Korea Republic of Department of Earth and Space Science Graduate School of Science Osaka University Toyonaka City Osaka560-0043 Japan Tsukuba City Ibaraki305-0801 Japan Department of Applied Physics Fukuoka University Jonan Fukuoka City Fukuoka814-0180 Japan Department of Physics Tamkang University Danshui Dist. New Taipei City25137 Taiwan Department of Physics and Institute of Astronomy National Tsing Hua University Hsinchu30013 Taiwan Department of Physics Center for High Energy and High Field Physics National Central University Zhongli District Taoyuan City32001 Taiwan Institute of Physics Academia Sinica Nankang Taipei11529 Taiwan Department of Physics University of Toyama Toyama City Toyama930-8555 Japan Université Savoie Mont Blanc CNRS/IN2P3 AnnecyF-74941 France Department of Astronomy University of Tokyo Mitaka City Tokyo181-8588 Japan Chinese Academy of Sciences Xiaohongshan Wuhan430071 China Tsukuba City Ibaraki305-0801 Japan College of Industrial Technology Nihon University Narashino City Chiba275-8575 Japan Graduate School of Science and Technology Niigata University Nishi-ku Niig

We apply independent component analysis (ICA) to the real data from a gravitational wave detector for the first time. ICA separates various sources of signals from multiple detection channels making use of non-Gaussian nature of the statistical distributions of the sources. Specifically we use the iKAGRA data taken in April 2016, and calculate the correlations between the gravitational wave strain channel and 35 physical environmental channels. Using a couple of seismic channels which are found to be strongly correlated with the strain, we perform ICA. Injecting a sinusoidal continuous signal in the strain channel, we find that ICA recovers correct parameters with enhanced signal-to-noise ratio, which demonstrates usefulness of this method. Copyright © 2019, The Authors. All rights reserved.

关键词： Independent component analysis

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Development of a Comprehensive Framework for Video-Based Safety Assessment

Development of a Comprehensive Framework for Video-Based Saf...

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IEEE International Conference on Intelligent Transportation Systems

作者： Kun Xie Chenge Li Kaan Ozbay Gregory Dobler Hong Yang An-Ti Chiang Masoud Ghandehari Department of Civil and Urban Engineering Center for Urban Science and Progress (CUSP) New York University Brooklyn 11201 USA Department of Electrical and Computer Engineering Center for Urban Science and Progress (CUSP) New York University Brooklyn 11201 USA Department of Physics Center for Urban Science and Progress (CUSP) New York University Brooklyn 11201 USA Department of Modeling Simulation and Visualization Engineering Old Dominion University Norfolk Virginia 23529 USA

ISBN: (纸本)9781509018901

In most of the traffic safety studies, both the identification of high-risk locations and the assessment of safety improvement solutions are done through the use of historical crash data. This study proposes an alternative approach that makes use of traffic conflicts extracted from traffic video recordings for safety assessment. State-of-the-art computer vision techniques are used to extract vehicle trajectories automatically from 70 hours of traffic video data at two intersections. More specifically, a modified implementation of the Kanade-Lucas-Tomasi (KLT) feature tracker is used to extract the feature points and track those feature points frame by frame. The spectral embedding and the Dirichlet process Gaussian mixture model (DPGMM) are employed to cluster feature points that belong to the same object. The combination of each vehicle's individual trajectory with all the others' trajectories is then screened to identify all the possible vehicle pairs involved in conflict risk. Traffic conflict risks are identified after the time to collision (TTC) is computed for each vehicle pair. Hourly number of conflicts are found to follow a negative binomial distribution similar to number of crashes. A strong correlation is observed between the traffic conflicts and actual crashes, and thus the validity of using conflict data extracted from videos for safety assessment can be confirmed. The proposed approach has potential transferability and can be implemented by transportation agencies in other cities.

关键词： Vehicles Safety Trajectory Vehicle crash testing Feature extraction Electronic mail computer vision

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First cryogenic test operation of underground km-scale gravitational-wave observatory KAGRA

arXiv

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arXiv 2019年

作者： Akutsu, T. Ando, M. Arai, K. Arai, Y. Araki, S. Araya, A. Aritomi, N. Asada, H. Aso, Y. Atsuta, S. Awai, K. Bae, S. Baiotti, L. Barton, M.A. Cannon, K. Capocasa, E. Chen, C.-S. Chiu, T.-W. Cho, K. Chu, Y.-K. Craig, K. Creus, W. Doi, K. Eda, K. Enomoto, Y. Flaminio, R. Fujii, Y. Fujimoto, M.-K. Fukunaga, M. Fukushima, M. Furuhata, T. Hagiwara, A. Haino, S. Hasegawa, K. Hashino, K. Hayama, K. Hirobayashi, S. Hirose, E. Hsieh, B.H. Huang, C.-Z. Ikenoue, B. Inoue, Y. Ioka, K. Itoh, Y. Izumi, K. Kaji, T. Kajita, T. Kakizaki, M. Kamiizumi, M. Kanbara, S. Kanda, N. Kanemura, S. Kaneyama, M. Kang, G. Kasuya, J. Kataoka, Y. Kawai, N. Kawamura, S. Kawasaki, T. Kim, C. Kim, J. Kim, J.C. Kim, W.S. Kim, Y.-M. Kimura, N. Kinugawa, T. Kirii, S. Kitaoka, Y. Kitazawa, H. Kojima, Y. Kokeyama, K. Komori, K. Kong, A.K.H. Kotake, K. Kozu, R. Kumar, R. Kuo, H.-S. Kuroyanagi, S. Lee, H.K. Lee, H.M. Lee, H.W. Leonardi, M. Lin, C.-Y. Lin, F.-L. Liu, G.C. Liu, Y. Majorana, E. Mano, S. Marchio, M. Matsui, T. Matsushima, F. Michimura, Y. Mio, N. Miyakawa, O. Miyamoto, A. Miyamoto, T. Miyo, K. Miyoki, S. Morii, W. Morisaki, S. Moriwaki, Y. Morozumi, T. Murakami, I. Musha, M. Nagano, K. Nagano, S. Nakamura, K. Nakamura, T. Nakano, H. Nakano, M. Nakao, K. Namai, Y. Narikawa, T. Naticchioni, L. Nguyen Quynh, L. Ni, W.-T. Nishizawa, A. Obuchi, Y. Ochi, T. Oh, J.J. Oh, S.H. Ohashi, M. Ohishi, N. Ohkawa, M. Okutomi, K. Ono, K. Oohara, K. Ooi, C.P. Pan, S.-S. Park, J. Peña Arellano, F.E. Pinto, I. Sago, N. Saijo, M. Saito, Y. Saitou, S. Sakai, K. Sakai, Y. Sakai, Y. Sasai, M. Sasaki, M. Sasaki, Y. Sato, N. Sato, S. Sato, T. Sekiguchi, Y. Seto, N. Shibata, M. Shimoda, T. Shinkai, H. Shishido, T. Shoda, A. Somiya, K. Son, E.J. Suemasa, A. Suzuki, T. Suzuki, T. Tagoshi, H. Tahara, H. Takahashi, H. Takahashi, R. Takamori, A. Takeda, H. Tanaka, H. Tanaka, K. Mitaka City Tokyo181-8588 Japan Mitaka City Tokyo181-8588 Japan Department of Physics University of Tokyo Bunkyo-ku Tokyo113-0033 Japan University of Tokyo Bunkyo-ku Tokyo113-0033 Japan KAGRA Observatory University of Tokyo Kashiwa CityChiba277-8582 Japan Tsukuba CityIbaraki305-0801 Japan Earthquake Research Institute University of Tokyo Bunkyo-ku Tokyo113-0032 Japan Department of Mathematics and Physics Hirosaki University Hirosaki City Aomori036-8561 Japan Kamioka-cho Hida City Gifu506-1205 Japan Mitaka City Tokyo181-8588 Japan Graduate School of Science and Technology Tokyo Institute of Technology Meguro-ku Tokyo152-8551 Japan KAGRA Observatory University of Tokyo Kamioka-cho Hida City Gifu506-1205 Japan Yuseong-gu Daejeon34141 Korea Republic of Graduate School of Science Osaka University Toyonaka CityOsaka560-0043 Japan Department of Physics National Taiwan Normal University sec. 4 Taipei116 Taiwan Department of Physics Sogang University Mapo-Gu Seoul121-742 Korea Republic of Institute of Physics Academia Sinica Nankang Taipei11529 Taiwan Department of Physics University of Toyama Toyama CityToyama930-8555 Japan Université Savoie Mont Blanc CNRS/IN2P3 AnnecyF-74941 France Department of Astronomy University of Tokyo Bunkyo-ku Tokyo113-0033 Japan Tsukuba CityIbaraki305-0801 Japan Department of Applied Physics Fukuoka University Jonan Fukuoka CityFukuoka814-0180 Japan Faculty of Engineering University of Toyama Toyama CityToyama930-8555 Japan University of Tokyo Kashiwa CityChiba277-8582 Japan Department of Physics National Central University Zhongli District Taoyuan City32001 Taiwan Center for High Energy and High Field Physics Zhongli District Taoyuan City32001 Taiwan Kyoto University Sakyou-ku Kyoto City Kyoto606-8502 Japan Graduate School of Science Osaka City University Sumiyoshi-ku Osaka CityOsaka558-8585 Japan JAXA Institute of Space and Astronautical Sc

KAGRA is a second-generation interferometric gravitational-wave detector with 3-km arms constructed at Kamioka, Gifu in Japan. It is now in its final installation phase, which we call bKAGRA (baseline KAGRA), with scientific observations expected to begin in late 2019. One of the advantages of KAGRA is its underground location of at least 200 m below the ground surface, which brings small seismic motion at low frequencies and high stability of the detector. Another advantage is that it cools down the sapphire test mass mirrors to cryogenic temperatures to reduce thermal noise. In April–May 2018, we have operated a 3-km Michelson interferometer with a cryogenic test mass for 10 days, which was the first time that km-scale interferometer was operated at cryogenic temperatures. In this article, we report the results of this "bKAGRA Phase 1" operation. We have demonstrated the feasibility of 3-km interferometer alignment and control with cryogenic mirrors. Copyright © 2019, The Authors. All rights reserved.

关键词： Mirrors

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PennyLane: Automatic differentiation of hybrid quantum-classical computations

arXiv

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arXiv 2018年

作者： Bergholm, Ville Izaac, Josh Schuld, Maria Gogolin, Christian Ahmed, Shahnawaz Ajith, Vishnu Alam, M. Sohaib Alonso-Linaje, Guillermo AkashNarayanan, B. Asadi, Ali Arrazola, Juan Miguel Azad, Utkarsh Banning, Sam Blank, Carsten Bromley, Thomas R. Cordier, Benjamin A. Ceroni, Jack Delgado, Alain Matteo, Olivia Di Dusko, Amintor Garg, Tanya Guala, Diego Hayes, Anthony Hill, Ryan Ijaz, Aroosa Isacsson, Theodor Ittah, David Jahangiri, Soran Jain, Prateek Jiang, Edward Khandelwal, Ankit Kottmann, Korbinian Lang, Robert A. Lee, Christina Loke, Thomas Lowe, Angus McKiernan, Keri Meyer, Johannes Jakob Montañez-Barrera, J.A. Moyard, Romain Niu, Zeyue O’Riordan, Lee James Oud, Steven Panigrahi, Ashish Park, Chae-Yeun Polatajko, Daniel Quesada, Nicolás Roberts, Chase Sá, Nahum Schoch, Isidor Shi, Borun Shu, Shuli Sim, Sukin Singh, Arshpreet Strandberg, Ingrid Soni, Jay Száva, Antal Thabet, Slimane Vargas-Hernández, Rodrigo A. Vincent, Trevor Vitucci, Nicola Weber, Maurice Wierichs, David Wiersema, Roeland Willmann, Moritz Wong, Vincent Zhang, Shaoming Killoran, Nathan Xanadu 777 Bay Street Toronto Canada Wallenberg Centre for Quantum Technology Department of Microtechnology and Nanoscience Chalmers University of Technology Gothenburg412 96 Sweden Indian Institute of Information Technology Kottayam India NASA Ames Research Center Moffett FieldCA94035 United States Mountain ViewCA94043 United States data cybernetics Martin-Kolmsperger-Str 26 Landsberg86899 Germany Department of Medical Informatics and Clinical Epidemiology Oregon Health and Science University PortlandOR97202 United States Dept. of Electrical and Computer Engineering The University of British Columbia VancouverBCV6T 1Z4 Canada Department of Physics Indian Institute of Technology Roorkee Uttarakhand Roorkee India qBraid 5235 South Harper Court ChicagoIL60615 United States Factal Analytics Level 2 Chimes Building Plot 61 Sector - 44 Haryana Gurgaon122003 India Centre for High Energy Physics Indian Institute of Science Karnataka Bengaluru560012 India ICFO - Institut de Ciencies Fotoniques The Barcelona Institute of Science and Technology Av. Carl Friedrich Gauss 3 Castelldefels Barcelona08860 Spain Chemical Physics Theory Group Department of Chemistry University of Toronto Canada DUG Technology 76 Kings Park Rd West PerthWA6005 Australia Rigetti Computing 2919 Seventh Street BerkeleyCA94710 United States Dahlem Center for Complex Quantum Systems Freie Universität Berlin Berlin14195 Germany Institute for Advanced Simulation Jülich Supercomputing Centre Forschungszentrum Jülich Jülich52425 Germany University of Amsterdam Netherlands School of Physical Sciences National Institute of Science Education and Research HBNI Odisha Jatni752 050 India Cervest United Kingdom Centro Brasileiro de Pesquisas Físicas Rua Dr. Xavier Sigaud 150 Rio de Janeiro22290-180 Brazil Zurich8092 Switzerland Neo4j UK Ltd United Kingdom Zapata Computing Inc. United States ITC Infotech Bangalore India Department of Microtechnology and Nanoscienc

PennyLane is a Python 3 software framework for differentiable programming of quantum computers. The library provides a unified architecture for near-term quantum computing devices, supporting both qubit and continuous-variable paradigms. PennyLane’s core feature is the ability to compute gradients of variational quantum circuits in a way that is compatible with classical techniques such as backpropagation. PennyLane thus extends the automatic differentiation algorithms common in optimization and machine learning to include quantum and hybrid computations. A plugin system makes the framework compatible with any gate-based quantum simulator or hardware. We provide plugins for hardware providers including the Xanadu Cloud, Amazon Braket, and IBM Quantum, allowing PennyLane optimizations to be run on publicly accessible quantum devices. On the classical front, PennyLane interfaces with accelerated machine learning libraries such as TensorFlow, PyTorch, JAX, and Autograd. PennyLane can be used for the optimization of variational quantum eigensolvers, quantum approximate optimization, quantum machine learning models, and many other applications. Copyright © 2018, The Authors. All rights reserved.

关键词： Machine learning

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The status of KAGRA underground cryogenic gravitational wave telescope

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Journal of Physics: Conference Series 2019年第1期1342卷

作者： T. Akutsu M. Ando A. Araya N. Aritomi H. Asada Y. Aso S. Atsuta K. Awai M. A. Barton K. Cannon K. Craig W. Creus K. Doi K. Eda Y. Enomoto R. Flaminio Y. Fujii M.-K. Fujimoto T. Furuhata S. Haino K. Hasegawa K. Hashino K. Hayama S. Hirobayashi E. Hirose A. H. Hsieh Y. Inoue K. Ioka Y. Itoh T. Kaji T. Kajita M. Kakizaki M. Kamiizumi S. Kambara N. Kanda S. Kanemura M. Kaneyama G. Kang J. Kasuya Y. Kataoka N. Kawai S. Kawamura C. Kim H. Kim J. Kim Y. Kim N. Kimura T. Kinugawa S. Kirii Y. Kitaoka Y. Kojima K. Kokeyama K. Komori K. Kotake R. Kumar H. Lee Y. Liu N. Luca E. Majorana S. Mano M. Marchio T. Matsui F. Matsushima Y. Michimura O. Miyakawa T. Miyamoto A. Miyamoto K. Miyo S. Miyoki W. Morii S. Morisaki Y. Moriwaki T. Morozumi M. Musha S. Nagano K. Nagano K. Nakamura T. Nakamura H. Nakano M. Nakano K. Nakao T. Narikawa L.Nguyen Quynh W.-T. Ni T. Ochi J. Oh S. Oh M. Ohashi N. Ohishi M. Ohkawa K. Okutomi K. Oohara F. E.Peña Alleano I. Pinto N. Sago M. Saijo Y. Saito K. Sakai Y. Sakai Y. Sasaki M. Sasaki S. Sato T. Sato Y. Sekiguchi N. Seto M. Shibata T. Shimoda H. Shinkai A. Shoda K. Somiya E. Son A. Suemasa T. Suzuki H. Tagoshi H. Takahashi R. Takahashi A. Takamori H. Takeda H. Tanaka K. Tanaka T. Tanaka D. Tatsumi T. Tomaru T. Tomura F. Travasso K. Tsubono S. Tsuchida N. Uchikata T. Uchiyama T. Uehara S. Ueki K. Ueno T. Ushiba M. H. P. M. van Putten H. Vocca S. Wada T. Wakamatsu T. Yamada S. Yamamoto T. Yamamoto K. Yamamoto A. Yamamoto J. Yokoyama T. Yokozawa T. H. Yoon H. Yuzurihara S. Zeidler Z.-H. Zhu KAGRA Collaboration National Astronomical Observatory of Japan Mitaka Tokyo 181-8588 Japan Department of Physics University of Tokyo Bunkyo Tokyo 113-0033 Japan Earthquake Research Institute University of Tokyo Bunkyo Tokyo 113-0032 Japan Department of Advanced Physics Hirosaki University Hirosaki Aomori 036-8561 Japan National Astronomical Observatory of Japan Hida Gifu 506-1205 Japan Department of Physics Tokyo Institute of Technology Meguro Tokyo 152-8551 Japan Institute for Cosmic Ray Research University of Tokyo Hida Gifu 506-1205 Japan Research Center for the Early Universe University of Tokyo Bunkyo Tokyo 113-0033 Japan Institute for Cosmic Ray Research University of Tokyo Kashiwa Chiba 277-8582 Japan Institute of Physics Academia Sinica Nankang Taipei 11529 Taiwan Department of Physics University of Toyama Toyama Toyama 930-8555 Japan Faculty of Engineering University of Toyama Toyama Toyama 930-8555 Japan Yukawa Institute for Theoretical Physics Kyoto University Sakyo Kyoto 606-8502 Japan Department of Physics Osaka City University Sumiyosi Osaka 558-8585 Japan Department of Physics Osaka University Toyonaka Osaka 560-0043 Japan Korea Institute of Science and Technology Information Yuseong Daejeon 34141 Korea Korea Astronomy and Space Science Institute (KASI) Yuseong Daejeon 34055 Korea National Institute for Mathematical Sciences Daejeon 34047 Korea Department of Computer Simulation Inje University Gimhae Gyeongsangnam 50834 Korea Department of Physics and Astronomy Seoul National University Seoul 151-742 Korea High Energy Accelerator Research Organization Tsukuba Ibaraki 305-0801 Japan Department of Physical Science Hiroshima University Higashihiroshima Hiroshima 903-0213 Japan Department of Applied Physics Fukuoka University Jonan Fukuoka 814-0180 Japan Department of Advanced Materials Science University of Tokyo Kashiwa Chiba 277-8582 Japan Istituto Nazionale di Fisica Nucleare Sapienza University Roma 00185 Italy Department of Ma

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.

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Autonomous migration of virtual machine based on OpenStack

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International Journal of Hybrid Information Technology 2016年第8期9卷 65-84页

作者： Zhou, Li Yu, Zhuoer Zhang, Jilin Wan, Jian Wu, Yusen School of Computer and Technology Hangzhou Dianzi University Hangzhou310018 China Key Laboratory of Complex Systems Modeling and Simulation Ministry of Education Hangzhou China College of Electrical Engineering Zhejiang University Hangzhou310058 China School of Information and Electronic engineering Zhejiang University of Science & Technology Hangzhou310023 China Zhejiang Provincial Engineering Center on Media Data Cloud Processing and Analysis HangzhouZhejiang China

For the problem of compute nodes load unbalance leads to the overload node impact VM performance and the underload node waste electrical energy. Dynamic VM consolidation is an efficient approach for improving the utilization of servers and reducing energy costs. In this paper, we introduce dynamic consolidation into OpenStack and implement AMVM based on OpenStack. AMVM collect and analyze all performance data of VM and compute node in OpenStack. Then AMVM automatically schedules VM live migrate to the most appropriate node according to the real-time load of all compute nodes. Then we use hybrid-copy instead of pre-copy in AMVM to improve the efficiency of VM live migration. Finally, we analyze the performance of hybrid-copy, hybrid-copy can reduce page faults compared with post-copy and reduce total data transferred compared with pre-copy. © 2016 SERSC.

关键词： Virtual machine

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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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The delay of shock breakout due to circumstellar material seen in most Type II Supernovae

arXiv

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arXiv 2018年

作者： Forster, F. Moriya, T.J. Maureira, J.C. Anderson, J.P. Blinnikov, S. Bufano, F. Cabrera-Vives, G. Clocchiatti, A. De Jaeger, T. Estévez, P.A. Galbany, L. González-Gaitán, S. Gräfener, G. Hamuy, M. Hsiao, E. Huentelemu, P. Huijse, P. Kuncarayakti, H. Martýnez-Palomera, J. Medina, G. E., F.O. Pignata, G. Razza, A. Reyes, I. San Martýn, J. Smith, R.C. Vera, E. Vivas, A.K. De Ugarte Postigo, A. Yoon, S.-C. Ashall, C. Fraser, M. Gal-Yam, A. Kankare, E. Le Guillou, L. Mazzali, P.A. Walton, N.A. Young, D.R. Center for Mathematical Modeling University of Chile Millennium Institute of Astrophysics Chile Department of Astronomy University of Chile Division of Theoretical Astronomy National Astronomical Observatory of Japan National Institutes of Natural Sciences 2-21-1 Osawa Mitaka Tokyo181-8588 Japan European Southern Observatory Alonso de Córdova 3107 Casilla 19 Santiago Chile University of Tokyo Japan Moscow Russia Moscow Russia INAF Astrophysical Observatory of Catania Italy Department of Computer Science University of Concepción Chile Department of Physics and Astronomy Universidad Católica de Chile Santiago Chile Department of Astronomy University of California Berkeley United States Department of Electrical Engineering University of Chile Department of Physics and Astronomy University of Pittsburgh United States CENTRA Instituto Técnico Superior Universidade de Lisboa Portugal Argelander-Institut fur Astronomie Auf dem Hügel 71 BonnD-53121 Germany Department of Physics Florida State University United States Informatics Institute Universidad Austral de Chile University of Turku Vaïsäläntie 20 Piikkiö21500 Finland Tuorla Observatory Department of Physics and Astronomy University of Turku Vaïsäläntie 20 Piikkiö21500 Finland Departamento de Ciencias firsicas Universidad Andres Bello Avda. Repblica 252 Santiago Chile Cerro Tololo Interamerican Observatory La Serena Chile Glorieta de la Astronomyá s/n Granada18008 Spain Dark Cosmology Centre Niels Borh Institute University of Copenhagen Juliane Maries Vej 30 Copenhagen ∅2100 Denmark Department of Physics and Astronomy Seoul National University Gwanak-ro1 Gwanakgu Seoul08826 Korea Republic of Monash Centre for Astrophysics School of Physics and Astronomy Monash University VIC3800 Australia Astrophysics Research Institute Liverpool John Moores University IC2 Liverpool Science Park 146 Brownlow Hill LiverpoolL3 5RF United Kingdom School of Physics OBrien Centre for Science Nort

Type II supernovae (SNe) originate from the explosion of hydrogen-rich supergiant massive stars. Their first electromagnetic signature is the shock breakout, a short-lived phenomenon which can last from hours to days depending on the density at shock emergence. We present 26 rising optical light curves of SN II candidates discovered shortly after explosion by the High cadence Transient Survey (HiTS) and derive physical parameters based on hydrodynamical models using a Bayesian approach. We observe a steep rise of a few days in 24 out of 26 SN II candidates, indicating the systematic detection of shock breakouts in a dense circumstellar matter consistent with a mass loss rate_M >10-4Mo yr-1or a dense atmosphere. This implies that the characteristic hour timescale signature of stellar envelope SBOs may be rare in nature and could be delayed into longer-lived circumstellar material shock breakouts in most Type II SNe. Copyright © 2018, The Authors. All rights reserved.

关键词： Supernovae

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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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Construction of KAGRA: An underground gravitational wave observatory

arXiv

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arXiv 2017年

作者： Akutsu, T. Ando, M. Araki, S. Araya, A. Arima, T. Aritomi, N. Asada, H. Aso, Y. Atsuta, S. Awai, K. Baiotti, L. Barton, M.A. Chen, D. Cho, K. Craig, K. DeSalvo, R. Doi, K. Eda, K. Enomoto, Y. Flaminio, R. Fujibayashi, S. Fujii, Y. Fujimoto, M.-K. Fukushima, M. Furuhata, T. Hagiwara, A. Haino, S. Harita, S. Hasegawa, K. Hasegawa, M. Hashino, K. Hayama, K. Hirata, N. Hirose, E. Ikenoue, B. Inoue, Y. Ioka, K. Ishizaki, H. Itoh, Y. Jia, D. Kagawa, T. Kaji, T. Kajita, T. Kakizaki, M. Kakuhata, H. Kamiizumi, M. Kanbara, S. Kanda, N. Kanemura, S. Kaneyama, M. Kasuya, J. Kataoka, Y. Kawaguchi, K. Kawai, N. Kawamura, S. Kawazoe, F. Kim, C. Kim, J. Kim, J.C. Kim, W. Kimura, N. Kitaoka, Y. Kobayashi, K. Kojima, Y. Kokeyama, K. Komori, K. Kotake, K. Kubo, K. Kumar, R. Kume, T. Kuroda, K. Kuwahara, Y. Lee, H.-K. Lee, H.-W. Lin, C.-Y. Liu, Y. Majorana, E. Mano, S. Marchio, M. Matsui, T. Matsumoto, N. Matsushima, F. Michimura, Y. Mio, N. Miyakawa, O. Miyake, K. Miyamoto, A. Miyamoto, T. Miyo, K. Miyoki, S. Morii, W. Morisaki, S. Moriwaki, Y. Muraki, Y. Murakoshi, M. Musha, M. Nagano, K. Nagano, S. Nakamura, K. Nakamura, T. Nakano, H. Nakano, M. Nakano, M. Nakao, H. Nakao, K. Narikawa, T. Ni, W.-T. Nonomura, T. Obuchi, Y. Oh, J.J. Oh, S.-H. Ohashi, M. Ohishi, N. Ohkawa, M. Ohmae, N. Okino, K. Okutomi, K. Ono, K. Ono, Y. Oohara, K. Ota, S. Park, J. Peña Arellano, F.E. Pinto, I.M. Principe, M. Sago, N. Saijo, M. Saito, T. Saito, Y. Saitou, S. Sakai, K. Sakakibara, Y. Sasaki, Y. Sato, S. Sato, T. Sato, Y. Sekiguchi, T. Sekiguchi, Y. Shibata, M. Shiga, K. Shikano, Y. Shimoda, T. Shinkai, H. Shoda, A. Someya, N. Somiya, K. Son, E.J. Starecki, T. Suemasa, A. Sugimoto, Y. Susa, Y. Suwabe, H. Suzuki, T. Tachibana, Y. Tagoshi, H. Takada, S. Takahashi, H. Takahashi, R. Takamori, A. Takeda, H. Tanaka, H. Tanaka, K. Tanaka, T. Tatsumi, D. National Astronomical Observatory of Japan Tokyo181-8588 Japan Graduate School of Science University of Tokyo Tokyo113-0033 Japan Department of Physics Graduate School of Science University of Tokyo Tokyo113-0033 Japan Ibaraki305-0801 Japan Earthquake Research Institute University of Tokyo Tokyo113-0032 Japan Department of Physics Graduate School of Science Osaka City University Osaka558-8585 Japan Graduate School of Science and Technology Hirosaki University Aomori036-8561 Japan Department of Physics Graduate School of Science and Engineering Tokyo Institute of Technology Tokyo152-8551 Japan Institute for Cosmic Ray Research University of Tokyo Chiba277-8582 Japan Institute for Cosmic Ray Research University of Tokyo Gifu506-1205 Japan Graduate School of Science Osaka University Osaka560-0043 Japan Department of Physics Sogang University Seoul121-742 Korea Republic of University of Sannio at Benevento BeneventoI-82100 Italy Sezione di Napoli NapoliI-80126 Italy University of Toyama Toyama930-8555 Japan Department of Physics Graduate School of Science Kyoto University Kyoto606-8502 Japan Institute of Physics Academia Sinica Taipei11529 Taiwan University of Toyama Toyama930-8555 Japan Yukawa Institute for Theoretical Physics Kyoto University Kyoto606-8502 Japan Albert-Einstein-Institut Max-Planck-Institut für Gravitationsphysik HannoverD-30167 Germany Department of Physics and Astronomy Seoul National University Seoul151-742 Korea Republic of Daejeon34055 Korea Republic of Department of Physics Myongji University Yongin449-728 Korea Republic of Department of Computer Simulation Inje University Gimhae-shi50834 Korea Republic of Daejeon34047 Korea Republic of Department of Physical Science Graduate School of Science Hiroshima University Hiroshima903-0213 Japan Department of Applied Physics Graduate School of Science Fukuoka University Fukuoka814-0180 Japan Graduate School of Science and Engineer

Major construction and initial-phase operation of a second-generation gravitational-wave detector KAGRA has been completed. The entire 3-km detector is installed underground in a mine in order to be isolated from background seismic vibrations on the surface. This allows us to achieve a good sensitivity at low frequencies and high stability of the detector. Bare-bones equipment for the interferometer operation has been installed and the first test run was accomplished in March and April of 2016 with a rather simple configuration. The initial configuration of KAGRA is named iKAGRA. In this paper, we summarize the construction of KAGRA, including the study of the advantages and challenges of building an underground detector and the operation of the iKAGRA interferometer together with the geophysics interferometer that has been constructed in the same tunnel. Copyright © 2017, The Authors. All rights reserved.

关键词： Interferometers

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