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23rd International Joint Conference on Artificial Intelligence, IJCAI 2013

作者： Wang, Hao Li, Wu-Jun Shanghai Key Laboratory of Scalable Computing and Systems Department of Computer Science and Engineering Shanghai Jiao Tong University China

ISBN: (纸本)9781577356332

With the emergence of large-scale evolving (timevarying) networks, dynamic network analysis (DNA) has become a very hot research topic in recent years. Although a lot of DNA methods have been proposed by researchers from different communities, most of them can only model snapshot data recorded at a very rough temporal granularity. Recently, some models have been proposed for DNA which can be used to model large-scale citation networks at a fine temporal granularity. However, they suffer from a significant decrease of accuracy over time because the learned parameters or node features are static (fixed) during the prediction process for evolving citation networks. In this paper, we propose a novel model, called online egocentric model (OEM), to learn time-varying parameters and node features for evolving citation networks. Experimental results on real-world citation networks show that our OEM can not only prevent the prediction accuracy from decreasing over time but also uncover the evolution of topics in citation networks.

关键词： DNA

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Modeling low energy x-ray interactions with biological material at the CUEBIT

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Journal of Physics: Conference Series 2015年第1期583卷

作者： J Klingenberger M Schott T Kimmel D Medlin A Gall M Rusin D Dean E Takacs School of Computing Clemson University 100 McAdams Hall Clemson SC 29634 USA Department of Electrical Engineering and Computer Science Vanderbilt University 400 24th Ave S Jacobs Hall Nashville TN 37212 USA Department of Physics and Astronomy Clemson University 118 Kinard Laboratory Clemson SC 29634 USA Department of Bioengineering Clemson University 301 Rhodes Research Center Clemson SC 29634 USA

Recent developments at Clemson University have established the need to model the production of x-rays using a highly charged ion beam generated by the Clemson University Electron Beam Ion Trap (CUEBIT). A Geant4 modeling environment has been developed on Clemson University's Palmetto2 supercomputing cluster to simulate the interaction of these x- rays with biological material. Preliminary results of the model have been obtained after performing initial simulations on the computing cluster. Future experiments using the CUEBIT as well as refinements to the Geant4 model are discussed.

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Tuning the position of a fuzzy cognitive map attractor using backpropagation through time

Tuning the position of a fuzzy cognitive map attractor using...

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7th International Conference on Integrated Modeling and Analysis in Applied Control and Automation, IMAACA 2013, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2013

作者： Gregor, Michal Groumpos, Peter P. Department of Control and Information Systems Faculty of Electrical Engineering University of Žilina Slovakia Laboratory for Automation and Robotics Department of Electrical and Computer Engineering University of Patras Greece

ISBN: (纸本)9781629934884

The paper proposes a new learning method for fuzzy cognitive maps, which makes it possible to encode an attractor into the map. The method is based on the principle of backpropagation through time known from the theory of artificial neural networks. Simulation results are presented to show how well the method performs. It is shown that the results are superior to those achieved using Hebbian learning approaches such as nonlinear Hebbian learning. Some lines for possible future research and development are given.

关键词： Fuzzy Cognitive Maps

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Printing multi-functionality: Additive manufacturing for cubesats

Printing multi-functionality: Additive manufacturing for cub...

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AIAA SPACE 2014 Conference and Exposition

作者： Kief, Craig J. Aarestad, Jim MacDonald, Eric Shemelya, Corey Roberson, David Wicker, Ryan Kwas, Andy M. Zemba, Mike Avery, Keith Netzer, Richard Kemp, William W. M. Keck Center for 3D Innovation University of Texs at El Paso El Paso TX 79902 United States Northrop Grumman Technical Services Albuquerque NM 87109 United States NASA Glenn Research Center Cleveland OH 44135 United States Air Force Research Laboratory Albuquerque NM 87117 United States LEIDOS Albuquerque NM 87109 United States COSMIAC 2350 Alamo Avenue SE United States Department of Electrical and Computer Engineering United States Department of Materials Science and Engineering United States Department of Mechanical Engineering United States Dept. of Electrical and Computer Engineering UNM Engineering Manager Northrop Grumman Technical Services 100 Sun Ave United States Antena and Optics Systems Branch 21000 Brookpark Rd United States AFRL/RVSE 3550 Abdeen Ave SE Albuquerque NM 87117 United States 2109 Air Park Rd. SE Ste 150 Albuquerque NM 87106 United States

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A new hybrid optimization algorithm for solving economic load dispatch problem with valve-point effect

A new hybrid optimization algorithm for solving economic loa...

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Annual North-American Power Symposium

作者： Seyyed H. Elyas Paras Mandal Ashraf U. Haque Annarita Giani Tzu-Liang Bill Tseng Department of Electrical and Computer Engineering University of Texas at El Paso TX USA Power Study GroupTeshmont Consultants LP Calgary AB Canada Energy and Infrastructure Decision GroupLos Alamos National Laboratory Los Alamos NM USA Department of Industrial Manufacturing and Systems Engineering University of Texas at El Paso TX USA

This paper presents an efficient approach for solving the economic load dispatch (ELD) problem with valve-point effect using a new hybrid optimization algorithm. The main aim for solving ELD problem is to schedule the output of the committed generating units in order to meet the system load under various operating constraints. Since ELD is a non-linear and non-convex problem, stochastic search algorithms are considered as appropriate solutions. In this paper, the proposed new hybrid optimization algorithm is based on Clonal Selection Algorithm (CSA) that uses the positive features of two other optimization techniques, Gases Brownian Motion Optimization (GBMO) and Particle Swarm Optimization (PSO), for local search and improving the quality of initial population, respectively. To validate the efficiency of the proposed hybrid method, termed as PG-Clonal in this paper, we tested it on two systems considering different constraints, and the obtained results are compared with the results of existing stochastic search algorithms available in the literature. The test results demonstrate the effectiveness of the proposed new hybrid PG-Clonal method in solving the ELD problem efficiently.

关键词： Optimization Sociology Statistics Algorithm design and analysis Linear programming Economics Gases

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Study of [Formula: see text] and [Formula: see text] production in [Formula: see text] collisions at [Formula: see text] and search for anomalous quartic gauge couplings with the ATLAS experiment

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The European physical journal. C, Particles and fields 2017年第9期77卷 646页

作者： M Aaboud G Aad B Abbott O Abdinov B Abeloos S H Abidi O S AbouZeid N L Abraham H Abramowicz H Abreu R Abreu Y Abulaiti B S Acharya S Adachi L Adamczyk J Adelman M Adersberger T Adye A A Affolder T Agatonovic-Jovin C Agheorghiesei J A Aguilar-Saavedra S P Ahlen F Ahmadov G Aielli S Akatsuka H Akerstedt T P A Åkesson E Akilli A V Akimov G L Alberghi J Albert P Albicocco M J Alconada Verzini S C Alderweireldt M Aleksa I N Aleksandrov C Alexa G Alexander T Alexopoulos M Alhroob B Ali M Aliev G Alimonti J Alison S P Alkire B M M Allbrooke B W Allen P P Allport A Aloisio A Alonso F Alonso C Alpigiani A A Alshehri M I Alstaty B Alvarez Gonzalez D Álvarez Piqueras M G Alviggi B T Amadio Y Amaral Coutinho C Amelung D Amidei S P Amor Dos Santos S Amoroso G Amundsen C Anastopoulos L S Ancu N Andari T Andeen C F Anders J K Anders K J Anderson A Andreazza V Andrei S Angelidakis I Angelozzi A Angerami A V Anisenkov N Anjos A Annovi C Antel M Antonelli A Antonov D J Antrim F Anulli M Aoki L Aperio Bella G Arabidze Y Arai J P Araque V Araujo Ferraz A T H Arce R E Ardell F A Arduh J-F Arguin S Argyropoulos M Arik A J Armbruster L J Armitage O Arnaez H Arnold M Arratia O Arslan A Artamonov G Artoni S Artz S Asai N Asbah A Ashkenazi L Asquith K Assamagan R Astalos M Atkinson N B Atlay K Augsten G Avolio B Axen M K Ayoub G Azuelos A E Baas M J Baca H Bachacou K Bachas M Backes M Backhaus P Bagnaia M Bahmani H Bahrasemani J T Baines M Bajic O K Baker E M Baldin P Balek F Balli W K Balunas E Banas A Bandyopadhyay Sw Banerjee A A E Bannoura L Barak E L Barberio D Barberis M Barbero T Barillari M-S Barisits J T Barkeloo T Barklow N Barlow S L Barnes B M Barnett R M Barnett Z Barnovska-Blenessy A Baroncelli G Barone A J Barr L Barranco Navarro F Barreiro J Barreiro Guimarães da Costa R Bartoldus A E Barton P Bartos A Basalaev A Bassalat R L Bates S J Batista J R Batley M Battaglia M Bauce F Bauer H S Bawa J B Beacham M D Beattie T Beau P H Beauchemin P Bechtle H P Beck H C Beck K Becker M Becker M Beckingham C Becot A J Beddall A Beddall Faculté des Sciences Université Mohamed Premier and LPTPM Oujda Morocco. CPPM Aix-Marseille Université and CNRS/IN2P3 Marseille France. Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman OK USA. Institute of Physics Azerbaijan Academy of Sciences Baku Azerbaijan. LAL Univ. Paris-Sud CNRS/IN2P3 Université Paris-Saclay Orsay France. Department of Physics University of Toronto Toronto ON Canada. Santa Cruz Institute for Particle Physics University of California Santa Cruz Santa Cruz CA USA. Department of Physics and Astronomy University of Sussex Brighton UK. Raymond and Beverly Sackler School of Physics and Astronomy Tel Aviv University Tel Aviv Israel. Department of Physics Technion: Israel Institute of Technology Haifa Israel. Center for High Energy Physics University of Oregon Eugene OR USA. Department of Physics Stockholm University Stockholm Sweden. The Oskar Klein Centre Stockholm Sweden. INFN Gruppo Collegato di Udine Sezione di Trieste Udine Italy. ICTP Trieste Italy. International Center for Elementary Particle Physics and Department of Physics The University of Tokyo Tokyo Japan. Faculty of Physics and Applied Computer Science AGH University of Science and Technology Kraków Poland. Department of Physics Northern Illinois University DeKalb IL USA. Fakultät für Physik Ludwig-Maximilians-Universität München Munich Germany. Particle Physics Department Rutherford Appleton Laboratory Didcot UK. Institute of Physics University of Belgrade Belgrade Serbia. Department of Physics Alexandru Ioan Cuza University of Iasi Iasi Romania. Laboratório de Instrumentação e Física Experimental de Partículas-LIP Lisbon Portugal. Departamento de Fisica Teorica y del Cosmos and CAFPE Universidad de Granada Granada Spain. Department of Physics Boston University Boston MA USA. Joint Institute for Nuclear Research JINR Dubna Dubna Russia. INFN Sezione di Roma Tor Vergata Rome Italy. Dipartimento di Fisica Università di Roma

This paper presents a study of and triboson production using events from proton-proton collisions at a centre-of-mass energy of recorded with the ATLAS detector at the LHC and corresponding to an integrated luminosity of 20.2 fb . The production cross-section is determined using a final state containing an electron, a muon, a photon, and neutrinos ( ). Upper limits on the production cross-section of the final state and the and final states containing an electron or a muon, two jets, a photon, and a neutrino ( or ) are also derived. The results are compared to the cross-sections predicted by the Standard Model at next-to-leading order in the strong-coupling constant. In addition, upper limits on the production cross-sections are derived in a fiducial region optimised for a search for new physics beyond the Standard Model. The results are interpreted in the context of anomalous quartic gauge couplings using an effective field theory. Confidence intervals at 95% confidence level are derived for the 14 coupling coefficients to which and production are sensitive.

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A generic tree-like index framework in the cloud

A generic tree-like index framework in the cloud

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14th International Conference on Web Information systems engineering, WISE 2013

作者： Yin, Yue Yao, Bin Shen, Yao Guo, Minyi Xu, Changliang Shanghai Key Laboratory of Scalable Computing and Systems Department of Computer Science and Engineering Shanghai Jiao Tong University China Alibaba Cloud Computing Company China

ISBN: (纸本)9783642412295

In this study, we present a novel tree based index scheme for efficient indexing and serving large datasets in the cloud. It incorporates and extends the functionality of Hadoop to create a fully parallel index system. Our new scheme can be summarized as follows. First, we leverage the MapReduce framework to create an index, then publish the index meta information and write it into a meta table. Second, we use the meta information to help the system adopting an efficient method to handle a given query. Finally, we optimize the system by using cache mechanism. We conduct extensive experiments on the Hadoop cluster to demonstrate the scalability, availability and efficiency of the proposed index framework. © 2013 Springer-Verlag.

关键词： Data warehouses

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Quantum chaotic tunneling in graphene systems with electron-electron interactions

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Physical Review B 2014年第22期90卷 224301-224301页

作者： Lei Ying Guanglei Wang Liang Huang Ying-Cheng Lai School of Electrical Computer and Energy Engineering Arizona State University Tempe Arizona 85287 USA Institute of Computational Physics and Complex Systems and Key Laboratory for Magnetism and Magnetic Materials of MOE Lanzhou University Lanzhou Gansu 730000 China Department of Physics Arizona State University Tempe Arizona 85287 USA

An outstanding and fundamental problem in contemporary physics is to include and probe the many-body effect in the study of relativistic quantum manifestations of classical chaos. We address this problem using graphene systems described by the Hubbard Hamiltonian in the setting of resonant tunneling. Such a system consists of two symmetric potential wells separated by a potential barrier, and the geometric shape of the whole domain can be chosen to generate integrable or chaotic dynamics in the classical limit. Employing a standard mean-field approach to calculating a large number of eigenenergies and eigenstates, we uncover a class of localized states with near-zero tunneling in the integrable systems. These states are not the edge states typically seen in graphene systems, and as such they are the consequence of many-body interactions. The physical origin of the non-edge-state type of localized states can be understood by the one-dimensional relativistic quantum tunneling dynamics through the solutions of the Dirac equation with appropriate boundary conditions. We demonstrate that, when the geometry of the system is modified to one with chaos, the localized states are effectively removed, implying that in realistic situations where many-body interactions are present, classical chaos is capable of facilitating greatly quantum tunneling. This result, besides its fundamental importance, can be useful for the development of nanoscale devices such as graphene-based resonant-tunneling diodes.

关键词： GRAPHENE QUANTUM tunneling composites HAMILTONIAN mechanics MEAN field theory QUANTUM electronics

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Modular Approach for Continuous Cell-level Balancing to Improve Performance of Large Battery Packs

Modular Approach for Continuous Cell-level Balancing to Impr...

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IEEE Energy Conversion Congress and Exposition

作者： M. Muneeb Ur Rehman Michael Evzelman Kelly Hathaway Regan Zane Gregory L. Plett Kandler Smith Eric Wood Dragan Maksimovic ECE Department Utah State University North Logan UT 84341 Department of Electrical and Computer Engineering University of Colorado Colorado Springs CO Transportation Systems and Hydrogen Center National Renewable Energy Laboratory Golden CO Colorado Power Electronics Center ECEE Department University of Colorado Boulder CO

ISBN: (纸本)9781479957774

Energy storage systems require battery cell balancing circuits to avoid divergence of cell state of charge (SOC). A modular approach based on distributed continuous cell-level control is presented that extends the balancing function to higher level pack performance objectives such as improving power capability and increasing pack lifetime. This is achieved by adding DC-DC converters in parallel with cells and using state estimation and control to autonomously bias individual cell SOC and SOC range, forcing healthier cells to be cycled deeper than weaker cells. The result is a pack with improved degradation characteristics and extended lifetime. The modular architecture and control concepts are developed and hardware results are demonstrated for a 91.2 Wh battery pack consisting of four series li-ion battery cells and four dual active bridge (DAB) bypass DC-DC converters.

关键词： computer architecture Microprocessors System-on-chip Batteries Resistance Mathematical model DC-DC power converters

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Loss reduction via network reconfigurations in Distribution Networks with Photovoltaic Units Installed

Loss reduction via network reconfigurations in Distribution ...

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10th International Conference on the European Energy Market, EEM 2013

作者： Bouhouras, A.S. Papadopoulos, T.A. Christoforidis, G.C. Papagiannis, G.K. Labridis, D.P. Department of Electrical Engineering Technological Education Institution of Western Macedonia Kozani Greece Power Systems Laboratory Department of Electrical and Computer Engineering Aristotle University of Thessaloniki Greece

ISBN: (纸本)9781479920082

The penetration of Renewable Energy Resources in Distribution Networks (DNs) is increasing rapidly, thus traditional issues regarding the DN operation should be faced through a different perspective that concerns dynamic behavior for both the distributed load consumption and power generation points of a network. Within this context, loss minimization in DNs by network reconfigurations should be examined subject to the variations regarding the load composition of the network due to the presence of Distributed Generation (DG) units. In this paper, the influence of Photovoltaic (PV) units installed in DNs to the optimal reconfiguration for loss reduction is investigated. The problem is stated, and a three level formulation is proposed in order to describe how the problem should be faced for an exhaustive and thorough analysis. Moreover, a simplified version of this proposed methodology is adopted in this work considering a two-stage sensitivity analysis: a spatial sensitivity analysis regarding the distribution of the PV units, and a quantitative sensitivity analysis concerning the penetration of the PV units in respect to the capacity of the network. The methodology is applied to three DNs by the published literature, and the results provide useful conclusions regarding the effect of the spatial distribution level along with the installed capacity of the PV units to the optimal reconfigured solution. © 2013 IEEE.

关键词： Distributed power generation

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