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17th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2015

作者： Safwat, Hazem Gruzitis, Normunds Enache, Ramona Davis, Brian Insight Centre for Data Analytics National University of Ireland Ireland Inst. of Mathematics and Computer Science University of Latvia Latvia Dept. of Computer Science and Engineering University of Gothenburg Sweden

ISBN: (纸本)9781450334914

The goal of this paper is to propose a system that can extract formal semantic knowledge representation from natural language eGov policies. We present an architecture that allows for extracting Controlled Natural Language (CNL) statements from heterogeneous natural language texts with the ability to support multilinguality. The approach is based on the concept of embedded CNLs. © 2015 ACM.

关键词： Data mining

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Probing the CP nature of the top–Higgs Yukawa coupling in tt¯H and tH events with H→bb¯ decays using the ATLAS detector at the LHC

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Physics Letters, Section B: Nuclear, Elementary Particle and High-Energy Physics 2024年 849卷

作者： Aad, G. Abbott, B. Abbott, D.C. Abed Abud, A. Abeling, K. Abhayasinghe, D.K. Abidi, S.H. Aboulhorma, A. Abramowicz, H. Abreu, H. Abulaiti, Y. Abusleme Hoffman, A.C. Acharya, B.S. Achkar, B. Adam, L. Adam Bourdarios, C. Adamczyk, L. Adamek, L. Addepalli, S.V. Adelman, J. Adiguzel, A. Adorni, S. Adye, T. Affolder, A.A. Afik, Y. Agapopoulou, C. Agaras, M.N. Agarwala, J. Aggarwal, A. Agheorghiesei, C. Aguilar-Saavedra, J.A. Ahmad, A. Ahmadov, F. Ahmed, W.S. Ai, X. Aielli, G. Aizenberg, I. Akatsuka, S. Akbiyik, M. Åkesson, T.P.A. Akimov, A.V. Al Khoury, K. Alberghi, G.L. Albert, J. Albicocco, P. Alconada Verzini, M.J. Alderweireldt, S. Aleksa, M. Aleksandrov, I.N. Alexa, C. Alexopoulos, T. Alfonsi, A. Alfonsi, F. Alhroob, M. Ali, B. Ali, S. Aliev, M. Alimonti, G. Allaire, C. Allbrooke, B.M.M. Allport, P.P. Aloisio, A. Alonso, F. Alpigiani, C. Alunno Camelia, E. Alvarez Estevez, M. Alviggi, M.G. Amaral Coutinho, Y. Ambler, A. Ambroz, L. Amelung, C. Amidei, D. Amor Dos Santos, S.P. Amoroso, S. Amos, K.R. Amrouche, C.S. Ananiev, V. Anastopoulos, C. Andari, N. Andeen, T. Anders, J.K. Andrean, S.Y. Andreazza, A. Anelli, C.R. Angelidakis, S. Angerami, A. Anisenkov, A.V. Annovi, A. Antel, C. Anthony, M.T. Antipov, E. Antonelli, M. Antrim, D.J.A. Anulli, F. Aoki, M. Aparisi Pozo, J.A. Aparo, M.A. Aperio Bella, L. Aranzabal, N. Araujo Ferraz, V. Arcangeletti, C. Arce, A.T.H. Arena, E. Arguin, J.-F. Argyropoulos, S. Arling, J.-H. Armbruster, A.J. Armstrong, A. Arnaez, O. Arnold, H. Arrubarrena Tame, Z.P. Artoni, G. Asada, H. Asai, K. Asai, S. Asbah, N.A. Asimakopoulou, E.M. Asquith, L. Assahsah, J. Assamagan, K. Astalos, R. Atkin, R.J. Atkinson, M. Atlay, N.B. Atmani, H. Atmasiddha, P.A. Augsten, K. Auricchio, S. Austrup, V.A. Avner, G. Avolio, G. Ayoub, M.K. Azuelos, G. Babal, D. Bachacou, H. Bachas, K. Bachiu, A. Backman, F. Badea, A. Bagnaia, P. Bahrasemani, H. Bailey, A.J. Bailey, V.R. Baines, J.T. Bakalis, C. Baker, O.K. Bakker, P.J. Bakos, E. Bakshi Gupta, D. Balaji, S. Balasubramanian, R. Baldin, E.M. Balek, P. Ballabene CPPM Aix-Marseille Université CNRS IN2P3 Marseille France Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman OK United States Department of Physics University of Massachusetts Amherst MA United States CERN Geneva Switzerland II. Physikalisches Institut Georg-August-Universität Göttingen Göttingen Germany Department of Physics Royal Holloway University of London Egham United Kingdom Physics Department Brookhaven National Laboratory Upton NY United States Mohammed VI Polytechnic University Ben Guerir Morocco 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 High Energy Physics Division Argonne National Laboratory Argonne IL United States Departamento de Física Pontificia Universidad Católica de Chile Santiago Chile INFN Gruppo Collegato di Udine Sezione di Trieste Udine Italy ICTP Trieste Italy Department of Physics King’s College London London United Kingdom Institut für Physik Universität Mainz Mainz Germany LAPP Univ. Savoie Mont Blanc CNRS IN2P3 Annecy France AGH University of Science and Technology Faculty of Physics and Applied Computer Science Krakow Poland Department of Physics University of Toronto Toronto ON Canada Department of Physics Brandeis University Waltham MA United States Department of Physics Northern Illinois University DeKalb IL United States Istanbul University Dept. of Physics Istanbul Turkey Département de Physique Nucléaire et Corpusculaire Université de Genève Genève Switzerland Particle Physics Department Rutherford Appleton Laboratory Didcot United Kingdom Santa Cruz Institute for Particle Physics University of California Santa Cruz Santa Cruz CA United States IJCLab Université Paris-Saclay CNRS IN2P3 Orsay 91405 France Institut de Física d’Altes Energies (IFAE) Barcelona Institute of Science and Technology Barcelona Spain INFN Sezione di Pavia

The CP properties of the coupling between the Higgs boson and the top quark are investigated using 139 fb−1 of proton–proton collision data recorded by the ATLAS experiment at the LHC at a centre-of-mass energy of s=...

The CP properties of the coupling between the Higgs boson and the top quark are investigated using 139 fb⁻¹ of proton–proton collision data recorded by the ATLAS experiment at the LHC at a centre-of-mass energy of s=13 TeV. The CP structure of the top quark–Higgs boson Yukawa coupling is probed in events with a Higgs boson decaying into a pair of b-quarks and produced in association with either a pair of top quarks, tt¯H, or a single top quark, tH. Events containing one or two electrons or muons are used for the measurement. Multivariate techniques are used to select regions enriched in tt¯H and tH events, where dedicated CP-sensitive observables are exploited. In an extension of the Standard Model (SM) with a CP-odd admixture in the top–Higgs Yukawa coupling, the mixing angle between CP-even and CP-odd couplings is measured to be α=11−73^∘ ^{∘+52^∘}, compatible with the SM prediction corresponding to α=0.

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Search for the Zγ decay mode of new high-mass resonances in pp collisions at s=13 TeV with the ATLAS detector

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Physics Letters, Section B: Nuclear, Elementary Particle and High-Energy Physics 2024年 848卷

This letter presents a search for narrow, high-mass resonances in the Zγ final state with the Z boson decaying into a pair of electrons or muons. The s=13 TeV pp collision data were recorded by the ATLAS detector at the CERN Large Hadron Collider and have an integrated luminosity of 140 fb⁻¹. The data are found to be in agreement with the Standard Model background expectation. Upper limits are set on the resonance production cross section times the decay branching ratio into Zγ. For spin-0 resonances produced via gluon–gluon fusion, the observed limits at 95% confidence level vary between 65.5 fb and 0.6 fb, while for spin-2 resonances produced via gluon–gluon fusion (or quark–antiquark initial states) limits vary between 77.4 (76.1) fb and 0.6 (0.5) fb, for the mass range from 220 GeV to 3400 GeV. © 2023 The Author(s)

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Stochastic Models, Statistics and Their Applications: Wroclaw, Poland, February 2015

Stochastic Models, Statistics and Their Applications: Wrocla...

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12th Workshop on Stochastic Models, Statistics and their Applications, 2015

作者： Steland, Ansgar Szajowski, Krzysztof Rafajlowicz, Ewaryst Institute of Statistics RWTH Aachen University Aachen Germany Inst. of Mathematics and Computer Science Wroclaw University of Technology Wroclaw Poland Dept. of Computer Engineering Control and Robotics Wroclaw University of Technology Wroclaw Poland

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Joint power and sensing optimization for hybrid cognitive radios with limited CSIT 21

Joint power and sensing optimization for hybrid cognitive ra...

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21st European Wireless Conference, European Wireless 2015

作者： Ropokis, George A. Tsinos, Christos G. Filippou, Miltiades C. Berberidis, Kostas Gesbert, David Ratnarajah, Tharmalingam Computer Technology Institute Press Diophantus Rio-Patras26500 Greece Dept. of Computer Engineering and Informatics University of Patras Rio-Patras26500 Greece Inst. for Digital Commun. Sch. of Eng. Univ. of Edinburgh EdinburghEH93FG United Kingdom Mobile Communications Dept. EURECOM BIOT 06410 France

ISBN: (纸本)9783800739769

The problem of optimal Power Policy (PP) design for hybrid interweave/underlay Cognitive Radio (CR) systems is investigated, in the presence of imperfect Spectrum Sensing (SS). A limited Channel State Information at the Transmitter (CSIT) scenario is considered, that has never been studied before, where the Secondary Transmitter (STx) uses combined inst.ntaneous and statistical CSIT. Given such CSIT, the optimal PP with the aim of maximizing the average transmission rate of the CR system, subject to a constraint on the average interference caused by STx transmission to the primary system, is found. The derived PP is then exploited for the development of an iterative framework for the problem of jointly optimizing the sensing time and the applied PP. By means of simulations, it is shown that the proposed joint SS and PP optimization framework offers a clear gain in terms of the achievable rate of the CR system, with respect to conventional underlay and interweave CR systems, especially for intermediate values of the average interference constraint and also for different primary user activity regimes.

关键词： Cognitive radio

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Cooling Load Estimation in the Building Based On Heat Sources

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IOP Conference Series: Earth and Environmental Science 2017年第1期63卷

作者： Chairani S Sulistyo Widyawan Dept. of Electrical Engineering and Information Technology Faculty of Engineering Universitas Gadjah Mada Grafika Street No. 2 Kampus UGM Yogyakarta 55281 (0274) 552305 Indonesia Informatics and Business Institute Darmajaya Faculty of Computer Science Z.A. Pagar Alam Street No. 93 Labuhan Ratu Bandar Lampung Lampung 35141 Indonesia

Heating, ventilation and air conditioning (HVAC) is the largest source of energy consumption. In this research, we discuss cooling load in the room by considering the different heat source and the number of occupancy. Energy cooling load is affected by external and internal heat sources. External cooling load in this discussion include convection outdoor/exterior using the DOE-2 algorithm, calculation of heat using Thermal Analysis Research Program (TARP), and Conduction Transfer Function (CTF). The internal cooling load is calculated based on the activity of the occupants in the office, a number of occupants, heat gain from lighting, and heat gain from electrics equipment. Weather data used is Surakarta weather and design day used is Jakarta design day. We use the ASHRAE standard for building materials and the metabolic of occupants while on the activity. The results show that the number of occupancies have an influence of cooling load. A large number of occupancy will cause the cooling load is great as well.

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Interim design report

arXiv

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arXiv 2020年

作者： Abramowicz, H. Jovin, T. Agatonovic Alonso, O. Amjad, M.S. An, F. Andricek, L. Anduze, M. Anguiano, J. Antonov, E. Aoki, Y. Arteche, F. Attié, D. Büscher, V. Bach, O. Balagura, V. Baudot, J. Begunov, V. Behera, S. Behnke, T. Bellerive, A. Belver, D. Benhammou, Y. Berggren, M. Berriaud, C. Bertolone, G. Besançon, M. Besson, A. Beyer, J. Bezshyyko, O. Bhattacharya, D.S. Bhattacharya, P. Blazey, G. Bocharnikov, V. Boronat, M. Borysov, O. Bosley, R. Boudry, V. Boumediene, D. Bourgeois, C. Jelisavcic, I. Bozovic Breton, D. Brianne, E. Brient, J.-C. Briggl, K. Buesser, K. Callier, S. Alamillo, E. Calvo Carrillo, C. Catalán, A. Chadeeva, M. Chau, P. Chera, M. Chetverushkin, B. Chrzaszcz, M. Claus, G. Colas, P. Colledani, C. Combaret, C. Cornat, R. Corriveau, F. Danilov, M. de la Taille, C. Deguchi, Y. Desch, K. Dieguez, A. Diener, R. Dixit, M. Dong, M. Dorokhov, A. Dozière, G. Drutskoy, A. Dulucq, F. Dyshkant, A. Edy, E. Eigen, G. Einhaus, U. El Bitar, Z. Elkhalii, A. Emberger, L. Esperante, D. Eté, R. Fang, Y. Fedorchuk, O. Firlej, M. Fiutowski, T. Fleck, I. Fourches, N. Fouz, M.C. Francis, K. Fujii, K. Fujii, K. Fullana, E. Fusayasu, T. Fuster, J. Göttlicher, P. Gadow, K. Gaede, F. Gallas, A. Ganjour, S. García, I. Cabrera, H. García Garillot, G. Garutti, E. Gastaldi, F. Ghislain, P. Goffe, M. Gomis, P. Gong, W. Gonnin, A. Goswami, D. Goto, K. Graf, C. Gregor, I.-M. Grenier, G. Guillaumat, R. Habermehl, M. Hagge, L. Hartbrich, O. Hartjes, F. Henschel, H. Heuchel, D. Hidalgo, S. Himmi, A. Hu, T. Hu-Guo, C. Ianigro, J.-C.T. Idzik, M. Irles, A. Ishihara, H. Ishikawa, A. Jönsson, L. Jaaskelainen, K. Jeans, D. Jeglot, J. Kacarevic, G. Kachel, M. Kajiwara, S. Kalinowski, J. Kaminski, J. Kamiya, Y. Karl, R. Kato, Y. Kato, Y. Kawada, S.-I. Kawagoe, K. Khan, S.A. Kleinwort, C. Kluit, P. Kobayashi, M. Koffmane, C. Komamiya, S. Korpachev, S. Kotera, K. Krämer, U. Krüger, K. Kunath, J. Kurata, M. Kurca, T. AGH University of Science and Technology Faculty of Physics and Applied Computer Science Krakow Poland University of Bergen Institute for Physics and Technology Bergen Norway University of Birmingham School of Physics and Astronomy Edgbaston United Kingdom Budker Institute of Nuclear Physics Siberian Branch Russian Academy of Sciences Novosibirsk State University Novosibirsk Russia University of Bonn Physikalisches Institut Bonn Germany Bergische Universität Wuppertal Fakultät 4/ Physik Wuppertal Germany Carleton University Ottawa Canada Irfu CEA Université Paris Saclay Gif sur Yvette France CIEMAT - Centro de Investigaciones Energéticas Medioambientales y Tecnológicas Madrid Spain Aix Marseille Univ CNRS/IN2P3 CPPM Marseille France CSIC University of Cantabria Instituto de Física de Cantabria Santander Spain Deutsches Elektronen-Synchrotron Hamburg Germany Dhofar University Salalah Oman University of Hamburg Faculty of Mathematics Informatics and Natural Sciences Hamburg Germany Institute of High Energy Physics Austrian Academy of Science Wien Austria Halbeiterlabor der Max-Planck-Gesellschaft München Germany Keldysh Institute of Applied Mathematics Russian Academy of Sciences Moscow Russia University of Tokyo Tokyo Japan CSIC-University of Valencia Instituto de Física Corpuscular Paterna Spain Kraków Poland Institute of High Energy Physics Chinese Academy of Science Beijing China Indian Institute of Technology GuwahatiAssam India Barcelona Spain Institute of Physics of the Czech Academy of Sciences Prague 8 Czech Republic Institut Pluridisciplinaire Hubert Curien Strasbourg France Institut de Physique des deux infinis de Lyon Villeurbanne France Instituto Tecnológico de Aragòn Zaragoza Spain Iwate University Morioka Japan University of Kansas Department of Physics and Astronomy LawrenceKS United States High Energy Accelerator Research Organisation KEK TsukubaIbaraki Japan Kindai University Department of Physics Higashi Os

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A wireless cloud network platform for critical data publishing in industrial process automation

A wireless cloud network platform for critical data publishi...

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IEEE Sensors Applications Symposium, SAS

作者： Leonardo Ascorti Stefano Savazzi Emiliano Sisinni Stefano Galimberti Pepperl+Fuchs srl MB Italy Consiglio Nazionale delle Ricerche (C.N.R) Inst. of Electronics Computer and Telecom. Eng. (IEIIT) Milano Italy Dept. of Information Engineering University of Brescia Brescia Italy

Future industrial process automation systems will be underpinned by wireless communication technology. The use of wireless networks in industrial applications cannot be viewed simply as a cable replacement mechanism: inst.ad, it has the potential to enhance the functionality of the entire system by exploiting the complexity of the network topology and the massively-interacting communication paradigm. In this paper we develop a wireless cloud platform that efficiently exploits intelligence at field device side to handle critical conditions that require fast transfer of data under stringent reliability and latency constraints. The cloud system acts as a self-contained network and it is designed to interact with devices supporting the Time Synchronized Channel Hopping protocol (TSCH) such as the commercial WirelessHART systems (IEC 62591 standard). The cloud platform handles the delivery of critical data by acting as a "hardware as a service" (HaaS) provider and implementing a cooperative-multihop forwarding scheme. Experimental activities are presented to show the feasibility of the approach in a real industrial plant. System validation shows substantial improvements compared with standard industrial solutions, both in terms of observed throughput (for high data transfer applications) and latency (for delay-sensitive data publishing services).

关键词： Cloud computing Wireless communication Wireless sensor networks Synchronization Standards Publishing Automation

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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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High current gate drive circuit with high temperature potential for SiC MOSFET module 7

High current gate drive circuit with high temperature potent...

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7th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2015

作者： Qi, Feng Xu, Longya Zhao, Bo Zhou, Zhe Dept. of Electrical and Computer Engineering Ohio State University ColumbusOH United States Smart Grid Research Inst. of SGCC Beijing China

ISBN: (纸本)9781467371506

With the development of SiC technology, current rating of the latest SiC MOSFET module goes up to 300A and the gate charge becomes higher than 1000nC, which demands a high gating current to drive the power module. To explore the high current and high temperature (HT) potentials of the SiC MOSFET module, a gate driver circuit with high output current and HT capability is developed. In this paper, particular emphasis is placed on the discussion of the output buffer circuits, including the BJT push-pull, CMOS push-pull and the proposed BJT-CMOS hybrid circuits. Commercially available HT components are used in the design and fabrication of the proposed circuit. The design principles of the circuit are investigated by PSpice simulation and room temperature testing first. Then, the HT experimental testing is performed to verify the full capabilities of the design. The HT experimental testing is performed both on a hotplate of 300°C and in a thermal chamber of 175°C. © 2015 IEEE.

关键词： Silicon carbide

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