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作者： Agrawal, Vikas Archibald, Christopher Bhatt, Mehul Bui, Hung Cook, Diane J. Cortés, Juan Geib, Christopher Gogate, Vibhav Guesgen, Hans W. Jannach, Dietmar Johanson, Michael Kersting, Kristian Konidaris, George Kotthoff, Lars Michalowski, Martin Natarajan, Sriraam O'Sullivan, Barry Pickett, Marc Podobnik, Vedran Poole, David Shastri, Lokendra Shehu, Amarda Sukthankar, Gita IBM Research India Mississippi State University United States University of Bremen Germany Laboratory for Natural Language Understanding Sunnyvale CA United States Washington State University United States University of Toulouse France Drexel University United States Department of Computer Science University of Texas Dallas United States Massey University New Zealand TU Dortmund Germany University of Alberta in Edmonton Canada Fraunhofer IAIS and the University of Bonn Germany MIT United States INSIGHT Centre for Data Analytics University College Cork Ireland Adventium Labs Minneapolis MN United States Indiana University Bloomington IN United States Naval Research Laboratory Washington DC United States Telecommunication Department of the Faculty of Electrical Engineering and Computing University of Zagreb Croatia Department of Computer Science University of British Columbia Vancouver Canada Infosys India George Mason University United States University of Central Florida United States

The AAAI-13 Workshop Program, a part of the 27th AAAI Conference on Artificial Intelligence, was held Sunday and Monday, July 14-15, 2013, at the Hyatt Regency Bellevue Hotel in Bellevue, Washington, USA. The program included 12 workshops covering a wide range of topics in artificial intelligence, including Activity Context-Aware System Architectures (WS-13-05);Artificial Intelligence and Robotics Methods in Computational Biology (WS-13-06);Combining Constraint Solving with Mining and Learning (WS-13-07);computer Poker and Imperfect Information (WS-13-08);Expanding the Boundaries of Health Informatics Using Artificial Intelligence (WS-13-09);Intelligent Robotic Systems (WS-13-10);Intelligent Techniques for Web Personalization and Recommendation (WS- 13-11);Learning Rich Representations from Low-Level Sensors (WS-13-12);Plan, Activity, and Intent Recognition (WS-13-13);Space, time, and Ambient Intelligence (WS-13-14);Trading Agent Design and Analysis (WS-13-15);and Statistical Relational Artificial Intelligence (WS-13-16). Copyright © 2013, Association for the Advancement of Artificial Intelligence. All rights reserved.

关键词： Data mining

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Application of PDSLin to the magnetic reconnection problem

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Computational science and Discovery 2013年第1期6卷

作者： Yuan, Xuefei Li, Xiaoye S Yamazaki, Ichitaro Jardin, Stephen C Koniges, Alice E Keyes, David E Lawrence Berkeley National Laboratory Berkeley CA 94720 United States Innovative Computing Laboratory University of Tennessee Knoxville TN 37996 United States Theory and Computation Department Princeton Plasma Physics Laboratory Princeton NJ 08540 United States Department of Astrophysical Sciences Princeton University Princeton NJ 08544 United States Division of Computer Electrical and Mathematical Sciences and Engineering King Abdullah University of Science and Technology Thuwal 23955-6900 Saudi Arabia Department of Applied Physics and Applied Mathematics Columbia University New York NY 10027 United States

Magnetic reconnection is a fundamental process in a magnetized plasma at both low and high magnetic Lundquist numbers (the ratio of the resistive diffusion time to the Alfvén wave transit time), which occurs in a wide variety of laboratory and space plasmas, e.g. magnetic fusion experiments, the solar corona and the Earth's magnetotail. An implicit time advance for the two-fluid magnetic reconnection problem is known to be difficult because of the large condition number of the associated matrix. This is especially troublesome when the collisionless ion skin depth is large so that the Whistler waves, which cause the fast reconnection, dominate the physics (Yuan et al 2012 J. Comput. Phys. 231 5822-53). For small system sizes, a direct solver such as SuperLU can be employed to obtain an accurate solution as long as the condition number is bounded by the reciprocal of the floating-point machine precision. However, SuperLU scales effectively only to hundreds of processors or less. For larger system sizes, it has been shown that physics-based (Chacón and Knoll 2003 J. Comput. Phys. 188 573-92) or other preconditioners can be applied to provide adequate solver performance. In recent years, we have been developing a new algebraic hybrid linear solver, PDSLin (Parallel Domain decomposition Schur complement-based Linear solver) (Yamazaki and Li 2010 Proc. VECPAR pp 421-34 and Yamazaki et al 2011 Technical Report). In this work, we compare numerical results from a direct solver and the proposed hybrid solver for the magnetic reconnection problem and demonstrate that the new hybrid solver is scalable to thousands of processors while maintaining the same robustness as a direct solver. © 2013 IOP Publishing Ltd.

关键词： Magnetoplasma

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ExSched: An external CPU scheduler framework for real-time systems

ExSched: An external CPU scheduler framework for real-time s...

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18th IEEE International Conference on Embedded and real-time computing Systems and Applications, RTCSA 2012

作者： Åsberg, Mikael Nolte, Thomas Kato, Shinpei Rajkumar, Ragunathan Mälardalen Real-Time Research Center Mälardalen University Sweden Graduate School of Information Science Nagoya University Japan Department of Electrical and Computer Engineering Carnegie Mellon University United States

Scheduling theory and algorithms have been well studied in the real-time systems literature. Many useful approaches and solutions have appeared in different problem domains. While their theoretical effectiveness has been extensively discussed, the community is now facing implementation challenges that show the impact of the algorithms in practice. In this paper, we propose a scheduler framework, called ExSched, which enables different schedulers to be developed for different operating system (OS) platforms without any modifications to the OS itself, using a unified interface. The framework will easily keep up with changes in the kernel since it is only dependent on a few kernel primitives. The usefulness of this framework is that scheduling policies can be implemented as external plug-ins. They can simply use the ExSched interface instead of platform-dependent functions, since platform details are abstracted by ExSched. The advantage for industry is that they would more easily keep up with new kernel versions since ExSched does not require patches. The advantage for academia is that we could focus on the development of schedulers instead of tedious and time-consuming installations of patched kernels. Our prototype implementation of ExSched supports Linux and Vx Works and it comes with example schedulers which include hierarchical and multi-core schedulers in addition to traditional fixed-priority scheduling (FPS) and earliest deadline first (EDF) algorithms. © 2012 IEEE.

关键词： Scheduling

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Processing time analysis of cloud services with retrying fault-tolerance technique

Processing time analysis of cloud services with retrying fau...

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2012 1st IEEE International Conference on Communications in China, ICCC 2012

作者： Wang, Chaonan Xing, Liudong Wang, Honggang Zhang, Zhaoyang Dai, Yuanshun Electrical and Computer Engineering Department University of Massachusetts Dartmouth MA 02747 United States Collaborative Autonomic Computing Laboratory School of Computer Science University of Electronic Science and Technology of China Chengdu 610054 China

ISBN: (纸本)9781467328159

This paper studies the processing time of cloud services using the retrying technique for fault tolerance. Specifically, the processing time of a cloud service is modeled and the probability distribution of the processing time is derived considering the effect imposed by retrying tasks in the case of service failures happening. As another important performance metric that can better reflect the Quality of Service (QoS) requirements of customers, the percentile of processing time is also studied. The percentile of processing time characterizes a threshold processing time so that a certain percentage of requests can be served in under the threshold value. Relationship between the task failure rate and percentile of processing time is studied through a numerical example. In addition, the percentile of processing time of cloud computing systems using the retrying technique is compared with that of systems using the check-pointing technique. © 2012 IEEE.

关键词： Cloud computing

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A Scalable Wide Area Monitoring System using Cellular Neural Networks

A Scalable Wide Area Monitoring System using Cellular Neural...

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International Joint Conference on Neural Networks

作者： Karthikeyan Balasubramaniam Bipul Luitel Ganesh Kumar Venayagamoorthy Real-Time Power and Intelligent Systems Laboratory Holcombe Department of Electrical and Computer Engineering Clemson University

ISBN: (纸本)9781467314886

Synchrophasor systems make power grids more observable by collecting data from various locations, time-align and process them as a coherent data set. Better observability results in better control actions. A limiting factor to this approach is communication delays. Power system wide area communication delays range from several milliseconds to several seconds depending on the communication media and distance. One way to deal with this is to have an intelligent system which can predict state values for one or more time steps ahead of time. A novel four dimensional scalable multirate cellular neural network (CNN) architecture for use as wide area monitoring system (WAMS) is proposed. Recurrent neural network (RNN) is used as computational engine for each cell as RNNs have dynamic memory. By using information from phasor measurement units (PMUs) that are optimally located in a power system, each layer predicts a state variable for one or more time steps. Data from remote PMUs are replaced by the respective CNN cells' time delayed predicted state values for next time step. This enables local controllers to take real-time control action with system wide information. A 12-bus test power system is used to develop and demonstrate the effectiveness of the proposed CNN framework for WAMS.

关键词： Cellular neural networks Recurrent neural networks State estimation Synchrophasors Wide area monitoring and control Cellular neural networks Wide area measurement systems Communications Media Phasor measurement units recurrent neural nets area monitoring State variable power systems Dynamic storage local controller Power grids Intelligent systems Data Collection Methods Scalability MILLISECOND

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SmartParks for short term power flow control in smart grids

SmartParks for short term power flow control in smart grids

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IEEE International Electric Vehicle Conference (IEVC)

作者： Ganesh Kumar Venayagamoorthy Real-Time Power and Intelligent Systems Laboratory Holcombe Department of Electrical and Computer Engineering Clemson University SC USA

Among other functions, the smart grid is a vehicle to maximize the penetration of wind power by exploiting the use of energy storage devices in order to maximize the utilization of renewable energy and bring about maximum reduction in emissions. Large number of electric vehicles in a parking lot enabled to carry out vehicle-to-grid (V2G) transactions has been termed as a `SmartPark' by the author. The use of vehicle-to-grid technology, information technology and advanced computational methods can provide short term real and reactive power support to overcome the drawback of the intermittent nature of renewable sources of electricity. This paper presents the intelligent control of SmartParks to enhance a smart grid's capability to compensate and mitigate active and reactive power fluctuations caused by the variability in wind power penetration in selected transmission lines and network buses.

关键词： Wind power generation Wind farms Voltage control Smart grids Fluctuations Reactive power Power transmission lines

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ERRATUM: 'THE SECOND CATALOG OF ACTIVE GALACTIC NUCLEI DETECTED BY THE FERMI LARGE AREA TELESCOPE' (2011, ApJ, 743, 171)

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The Astrophysical Journal 2015年第1期806卷

作者： M. Ackermann M. Ajello A. Allafort E. Antolini W. B. Atwood M. Axelsson L. Baldini J. Ballet G. Barbiellini D. Bastieri K. Bechtol R. Bellazzini B. Berenji R. D. Blandford E. D. Bloom E. Bonamente A. W. Borgland E. Bottacini A. Bouvier J. Bregeon M. Brigida P. Bruel R. Buehler T. H. Burnett S. Buson G. A. Caliandro R. A. Cameron P. A. Caraveo J. M. Casandjian E. Cavazzuti C. Cecchi E. Charles C. C. Cheung J. Chiang S. Ciprini R. Claus J. Cohen-Tanugi J. Conrad L. Costamante S. Cutini A. de Angelis F. de Palma C. D. Dermer S. W. Digel E. do Couto e Silva P. S. Drell R. Dubois L. Escande C. Favuzzi S. J. Fegan E. C. Ferrara J. Finke W. B. Focke P. Fortin M. Frailis Y. Fukazawa S. Funk P. Fusco F. Gargano D. Gasparrini N. Gehrels S. Germani B. Giebels N. Giglietto P. Giommi F. Giordano M. Giroletti T. Glanzman G. Godfrey I. A. Grenier J. E. Grove S. Guiriec M. Gustafsson D. Hadasch M. Hayashida E. Hays S. E. Healey D. Horan X. Hou R. E. Hughes G. Iafrate G. Jóhannesson A. S. Johnson W. N. Johnson T. Kamae H. Katagiri J. Kataoka J. Knödlseder M. Kuss J. Lande S. Larsson L. Latronico F. Longo F. Loparco B. Lott M. N. Lovellette P. Lubrano G. M. Madejski M. N. Mazziotta W. McConville J. E. McEnery P. F. Michelson W. Mitthumsiri T. Mizuno A. A. Moiseev C. Monte M. E. Monzani E. Moretti A. Morselli I. V. Moskalenko S. Murgia T. Nakamori M. Naumann-Godo P. L. Nolan J. P. Norris E. Nuss M. Ohno T. Ohsugi A. Okumura N. Omodei M. Orienti E. Orlando J. F. Ormes M. Ozaki D. Paneque D. Parent M. Pesce- Rollins M. Pierbattista S. Piranomonte F. Piron G. Pivato T. A. Porter S. Rainò R. Rando M. Razzano S. Razzaque A. Reimer O. Reimer S. Ritz L. S. Rochester R. W. Romani M. Roth D. A. Sanchez C. Sbarra J. D. Scargle T. L. Schalk C. SGRO M. S. Shaw E. J. Siskind G. Spandre P. Spinelli A. W. Strong D. J. Suson H. Tajima H. Takahashi T. Takahashi T. Tanaka J. G. Thayer J. B. Thayer D. J. Thompson L. Tibaldo M. Tinivella D. F. Torres G. Tosti E. Troja Y. Uchiyama J. Vandenbroucke V. Vasileiou G. Vianello V. Vitale A. P. Waite E. Walla W. W. Hansen Experimental Physics Laboratory Kavli Institute for Particle Astrophysics and Cosmology Department of Physics and SLAC National Accelerator Laboratory Stanford University Stanford CA 94305 USA Istituto Nazionale di Fisica Nucleare Sezione di Perugia I-06123 Perugia Italy Dipartimento di Fisica Università degli Studi di Perugia I-06123 Perugia Italy Santa Cruz Institute for Particle Physics Department of Physics and Department of Astronomy and Astrophysics University of California at Santa Cruz Santa Cruz CA 95064 USA Department of Astronomy Stockholm University SE-106 91 Stockholm Sweden The Oskar Klein Centre for Cosmoparticle Physics AlbaNova SE-106 91 Stockholm Sweden Department of Physics Royal Institute of Technology (KTH) AlbaNova SE-106 91 Stockholm Sweden Istituto Nazionale di Fisica Nucleare Sezione di Pisa I-56127 Pisa Italy Laboratoire AIM CEA-IRFU/CNRS/Université Paris Diderot Service d'Astrophysique CEA Saclay 91191 Gif sur Yvette France Istituto Nazionale di Fisica Nucleare Sezione di Trieste I-34127 Trieste Italy Dipartimento di Fisica Università di Trieste I-34127 Trieste Italy Istituto Nazionale di Fisica Nucleare Sezione di Padova I-35131 Padova Italy Dipartimento di Fisica 'G. Galilei' Università di Padova I-35131 Padova Italy Dipartimento di Fisica 'M. Merlin' dell'Università e del Politecnico di Bari I-70126 Bari Italy Istituto Nazionale di Fisica Nucleare Sezione di Bari 70126 Bari Italy Laboratoire Leprince-Ringuet École polytechnique CNRS/IN2P3 Palaiseau France Department of Physics University of Washington Seattle WA 98195-1560 USA Institut de Ciències de l'Espai (IEEE-CSIC) Campus UAB 08193 Barcelona Spain INAF-Istituto di Astrofisica Spaziale e Fisica Cosmica I-20133 Milano Italy Agenzia Spaziale Italiana (ASI) Science Data Center I-00044 Frascati (Roma) Italy National Research Council Research Associate National Academy of Sciences Washington DC 20001 USA ASI Science Data Center I-00044 Frascati (Roma)

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ARCHoN: Adaptive range control of hotzone cells in heterogeneous cellular networks

ARCHoN: Adaptive range control of hotzone cells in heterogen...

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IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks (SECON)

作者： Ji-Hoon Yun Kang G. Shin Department of Electrical Engineering and Information Technology Seoul National University of Science and Technology Seoul South Korea Real-Time Computing Laboratory EECS Department University of Michigan Ann Arbor MI USA

Heterogeneous networks (HetNets) are typified by cellular deployments with multiple types of cells of different sizes and overlapping coverage areas using a common frequency band. Especially, hotzone cells overlaid on a macrocell to cover hotspot areas are expected to prevail in HetNets, thus cost-effectively enhancing cellular capacity via spatial reuse of spectrum resource and offloading macrocells. In order to fully achieve such benefits, users need to be properly distributed/assigned to the overlaid hotzone cells such that the radio resources therein are fully utilized. To this end, we propose a new architecture called Adaptive Range Control of Hotzone Cells for Heterogeneous Networks (ARCHoN) that jointly controls the radio resource allocations and ranges of OFDMA-based hotzone cells. The use of cell ranges for distributing users in ARCHoN is advantageous in that it can be implemented within a conventional cell-selection framework without modifying user devices or an air interface. In ARCHoN, each cell allocates users radio (frequency, time and power) resources in a non-cooperative manner, deriving a sequence of allocations monotonically decreasing the entire load. For range control, two algorithms are proposed: per-cell and universal, which have a tradeoff between performance and computational complexity. The solution yielded by the combination of these radio resource and range control algorithms is analytically proven to converge to a unique fixed point. Our in-depth evaluation has shown ARCHoN to significantly improve the service quality of users; in an example simulation scenario, ARCHoN is shown to improve the signal-to-interference and noise ratios (SINRs) of users, on average, by up to 3.5 dB in downlink and 18.8 dB in uplink, over the case of the conventional handover framework.

关键词： Macrocell networks Resource management computer architecture Vectors OFDM Interference time frequency analysis

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Inferred Cosmic-Ray Spectrum from Fermi Large Area Telescope γ-Ray Observations of Earth’s Limb

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Physical Review Letters 2014年第15期112卷 151103-151103页

作者： M. Ackermann M. Ajello A. Albert A. Allafort L. Baldini G. Barbiellini D. Bastieri K. Bechtol R. Bellazzini R. D. Blandford E. D. Bloom E. Bonamente E. Bottacini A. Bouvier T. J. Brandt M. Brigida P. Bruel R. Buehler S. Buson G. A. Caliandro R. A. Cameron P. A. Caraveo C. Cecchi E. Charles R. C. G. Chaves A. Chekhtman J. Chiang G. Chiaro S. Ciprini R. Claus J. Cohen-Tanugi J. Conrad S. Cutini M. Dalton F. D’Ammando A. de Angelis F. de Palma C. D. Dermer S. W. Digel L. Di Venere E. do Couto e Silva P. S. Drell A. Drlica-Wagner C. Favuzzi S. J. Fegan E. C. Ferrara W. B. Focke A. Franckowiak Y. Fukazawa S. Funk P. Fusco F. Gargano D. Gasparrini S. Germani N. Giglietto F. Giordano M. Giroletti T. Glanzman G. Godfrey G. A. Gomez-Vargas I. A. Grenier J. E. Grove S. Guiriec M. Gustafsson D. Hadasch Y. Hanabata A. K. Harding M. Hayashida K. Hayashi J. W. Hewitt D. Horan X. Hou R. E. Hughes Y. Inoue M. S. Jackson T. Jogler G. Jóhannesson A. S. Johnson T. Kamae T. Kawano J. Knödlseder M. Kuss J. Lande S. Larsson L. Latronico F. Longo F. Loparco M. N. Lovellette P. Lubrano M. Mayer M. N. Mazziotta J. E. McEnery J. Mehault P. F. Michelson W. Mitthumsiri T. Mizuno A. A. Moiseev C. Monte M. E. Monzani A. Morselli I. V. Moskalenko S. Murgia R. Nemmen E. Nuss T. Ohsugi A. Okumura M. Orienti E. Orlando J. F. Ormes D. Paneque J. H. Panetta J. S. Perkins M. Pesce-Rollins F. Piron G. Pivato T. A. Porter S. Rainò R. Rando M. Razzano S. Razzaque A. Reimer O. Reimer S. Ritz M. Roth M. Schaal A. Schulz C. Sgrò E. J. Siskind G. Spandre P. Spinelli A. W. Strong H. Takahashi Y. Takeuchi J. G. Thayer J. B. Thayer D. J. Thompson L. Tibaldo M. Tinivella D. F. Torres G. Tosti E. Troja V. Tronconi T. L. Usher J. Vandenbroucke V. Vasileiou G. Vianello V. Vitale M. Werner B. L. Winer K. S. Wood M. Wood Z. Yang Deutsches Elektronen Synchrotron DESY D-15738 Zeuthen Germany Space Sciences Laboratory 7 Gauss Way University of California Berkeley California 94720-7450 USA W. W. Hansen Experimental Physics Laboratory Kavli Institute for Particle Astrophysics and Cosmology Department of Physics and SLAC National Accelerator Laboratory Stanford University Stanford California 94305 USA Istituto Nazionale di Fisica Nucleare Sezione di Pisa I-56127 Pisa Italy Istituto Nazionale di Fisica Nucleare Sezione di Trieste I-34127 Trieste Italy Dipartimento di Fisica Università di Trieste I-34127 Trieste Italy Istituto Nazionale di Fisica Nucleare Sezione di Padova I-35131 Padova Italy Dipartimento di Fisica e Astronomia “G. Galilei” Università di Padova I-35131 Padova Italy Istituto Nazionale di Fisica Nucleare Sezione di Perugia I-06123 Perugia Italy Dipartimento di Fisica Università degli Studi di Perugia I-06123 Perugia Italy Santa Cruz Institute for Particle Physics Department of Physics and Department of Astronomy and Astrophysics University of California at Santa Cruz Santa Cruz California 95064 USA NASA Goddard Space Flight Center Greenbelt Maryland 20771 USA Dipartimento di Fisica “M. Merlin” dell’Università e del Politecnico di Bari I-70126 Bari Italy Istituto Nazionale di Fisica Nucleare Sezione di Bari 70126 Bari Italy Laboratoire Leprince-Ringuet École polytechnique CNRS/IN2P3 Palaiseau France Consorzio Interuniversitario per la Fisica Spaziale (CIFS) I-10133 Torino Italy INAF-Istituto di Astrofisica Spaziale e Fisica Cosmica I-20133 Milano Italy Laboratoire AIM CEA-IRFU/CNRS/Université Paris Diderot Service d’Astrophysique CEA Saclay 91191 Gif sur Yvette France Center for Earth Observing and Space Research College of Science George Mason University Fairfax Virginia 22030 USA Agenzia Spaziale Italiana (ASI) Science Data Center I-00044 Frascati (Roma) Italy Istituto Nazionale di Astrofisica - Osservatorio Astronomico di Roma I-00040 Monte Porzio Catone (Roma)

Recent accurate measurements of cosmic-ray (CR) species by ATIC-2, CREAM, and PAMELA reveal an unexpected hardening in the proton and He spectra above a few hundred GeV, a gradual softening of the spectra just below a few hundred GeV, and a harder spectrum of He compared to that of protons. These newly discovered features may offer a clue to the origin of high-energy CRs. We use the Fermi Large Area Telescope observations of the γ-ray emission from Earth’s limb for an indirect measurement of the local spectrum of CR protons in the energy range ∼90 GeV–6 TeV (derived from a photon energy range 15 GeV–1 TeV). Our analysis shows that single power law and broken power law spectra fit the data equally well and yield a proton spectrum with index 2.68±0.04 and 2.61±0.08 above ∼200 GeV, respectively.

关键词： Cosmology

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Nondestructive assessment of glass fibre composites by mid-wave and near infrared vision

Nondestructive assessment of glass fibre composites by mid-w...

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作者： Ibarra-Castanedo, Clemente Bendada, Abdelhakim Avdelidis, Nicolas P. Maldague, Xavier P. V. Computer Vision and Systems Laboratory Electrical and Computing Engineering Department Université Laval Quebec City QC G1V 0A6 Canada Materials Science and Engineering Section School of Chemical Engineering National Technical University of Athens Athens 157 80 Greece

The nondestructive testing (NDT) of composites is a critical step for the early detection and repair of industrial components. Infrared (IR) vision has demonstrated to be an attractive inspection technique, allowing a fast and straightforward examination of the integrity of materials and parts in a non-invasive and non-contact manner. In this study, mid-wave infrared (MWIR) thermography and near infrared (NIR) vision are investigated for the NDT inspection of a glass fibre sample with fabricated subsurface defects of different types. The main advantages and limitations of each technique are discussed and some comparative experimental results are provided. © 2012 The Japan Institute of Metals.

关键词： Nondestructive examination

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