检索结果-内蒙古大学图书馆

Determination of residual stresses in GFRP composite using incremental slitting method by the aid of strain gauge

AIP Conference Proceedings 2019年第1期2057卷

作者： M. A. Umarfarooq P. S. Shivakumar Gouda Archana Nandibewoor N. R. Banapurmath G. B. Veeresh Kumar 1Department of Mechanical Engineering SDM College of Engineering & Technology Dharwad India 2Department of Computer Science & Engineering SDM College of Engineering & Technology Dharwad India 3Department of Mechanical Engineering B.V.B. College of Engineering and Technology KLE Technological University Hubballi India 4Department of Mechanical Engineering National Institute of Technology - Andhra Pradesh Tadepalligudem West Godavari District Andhra Pradesh state India

Residual stresses are those stresses which exist in the specimen even before the specimen has been loaded. Chemical Shrinkage of matrix and the thermal mismatch between the components of the composites during curing are main sources for residual stresses in polymer composite. Residual stresses may add up to the external loads and cause premature failure of the structure. The presence of residual stresses effects the structural integrity of the structure and should be investigated and quantified. Unidirectional (UD) woven Glass fiber was coated with epoxy resin using manual draw down method and then composite laminate was made using hand lamination technique which was cured under room temperature and then post cured at 180 °C for 3 hours The main objective of this work is to experimentally determine the cure induced residual stresses in glass fiber reinforced polymer (GFRP) composite using incremental slitting method. The technique compromises of introducing a thin slit using a CNC milling from the top surface of the specimen in the form of incremental cuts while the corresponding released strains are recorded from strain gauge bonded on the bottom surface of the specimen for every incremental cut. The results obtained display a high values of residual stresses inherited during the curing *** original version of this article supplied to AIP Publishing contained an error in the affiliation for G. B. Veeresh Kumar. The author’s affiliation was corrected in the updated and re-published version of this article on 11 March 2019.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Measurement of the cross section of top quark-antiquark pair production in association with a W boson in proton-proton collisions at s = 13 TeV

引用

Journal of High Energy Physics 2023年第7期2023卷 219页

作者： Tumasyan, A. Adam, W. Andrejkovic, J.W. Bergauer, T. Chatterjee, S. Damanakis, K. Dragicevic, M. Escalante Del Valle, A. Hussain, P.S. Jeitler, M. Krammer, N. Lechner, L. Liko, D. Mikulec, I. Paulitsch, P. Pitters, F.M. Schieck, J. Schöfbeck, R. Schwarz, D. Templ, S. Waltenberger, W. Wulz, C.-E. Darwish, M.R. Janssen, T. Kello, T. Rejeb Sfar, H. Van Mechelen, P. Bols, E.S. D’Hondt, J. De Moor, A. Delcourt, M. El Faham, H. Lowette, S. Moortgat, S. Morton, A. Müller, D. Sahasransu, A.R. Tavernier, S. Van Doninck, W. Vannerom, D. Clerbaux, B. De Lentdecker, G. Favart, L. Hohov, D. Jaramillo, J. Lee, K. Mahdavikhorrami, M. Makarenko, I. Malara, A. Paredes, S. Pétré, L. Postiau, N. Starling, E. Thomas, L. Vanden Bemden, M. Vander Velde, C. Vanlaer, P. Dobur, D. Knolle, J. Lambrecht, L. Mestdach, G. Niedziela, M. Rendón, C. Roskas, C. Samalan, A. Skovpen, K. Tytgat, M. Van Den Bossche, N. Vermassen, B. Wezenbeek, L. Benecke, A. Bruno, G. Bury, F. Caputo, C. David, P. Delaere, C. Donertas, I.S. Giammanco, A. Jaffel, K. Jain, Sa. Lemaitre, V. Mondal, K. Prisciandaro, J. Taliercio, A. Tran, T.T. Vischia, P. Wertz, S. Alves, G.A. Coelho, E. Hensel, C. Moraes, A. Rebello Teles, P. Aldá Júnior, W.L. Alves Gallo Pereira, M. Barroso Ferreira Filho, M. Brandao Malbouisson, H. Carvalho, W. Chinellato, J. Da Costa, E.M. Da Silveira, G.G. De Jesus Damiao, D. Dos Santos Sousa, V. Fonseca De Souza, S. Martins, J. Mora Herrera, C. Mota Amarilo, K. Mundim, L. Nogima, H. Santoro, A. Silva Do Amaral, S.M. Sznajder, A. Thiel, M. Torres Da Silva De Araujo, F. Vilela Pereira, A. Bernardes, C.A. Calligaris, L. Fernandez Perez Tomei, T.R. Gregores, E.M. Mercadante, P.G. Novaes, S.F. Padula, Sandra S. Aleksandrov, A. Antchev, G. Hadjiiska, R. Iaydjiev, P. Misheva, M. Rodozov, M. Shopova, M. Sultanov, G. Dimitrov, A. Ivanov, T. Litov, L. Pavlov, B. Petkov, P. Petrov, A. Shumka, E. Thakur, S. Cheng, T. Javaid, T. Mittal, M. Yuan, L. Ahmad, M. Bauer, G. Hu, Z. Lezki, S. Yi, K. Chen, G.M. Chen, H.S. Chen, M. Iemmi, F. Jiang, C.H. Kapoor, A. Kou, Yerevan Physics Institute Yerevan Armenia Institut für Hochenergiephysik Vienna Austria Universiteit Antwerpen Antwerpen Belgium Vrije Universiteit Brussel Brussel Belgium Université Libre de Bruxelles Bruxelles Belgium Ghent University Ghent Belgium Université Catholique de Louvain Louvain-la-Neuve Belgium Centro Brasileiro de Pesquisas Fisicas Rio de Janeiro Brazil Universidade do Estado do Rio de Janeiro Rio de Janeiro Brazil Universidade Estadual Paulista Universidade Federal do ABC São Paulo Brazil Institute for Nuclear Research and Nuclear Energy Bulgarian Academy of Sciences Sofia Bulgaria University of Sofia Sofia Bulgaria Instituto De Alta Investigación Universidad de Tarapacá Casilla 7 D Arica Chile Beihang University Beijing China Department of Physics Tsinghua University Beijing China Institute of High Energy Physics Beijing China State Key Laboratory of Nuclear Physics and Technology Peking University Beijing China Sun Yat-Sen University Guangzhou China Institute of Modern Physics and Key Laboratory of Nuclear Physics and Ion-beam Application (MOE) — Fudan University Shanghai China Zhejiang University Zhejiang Hangzhou China Universidad de Los Andes Bogota Colombia Universidad de Antioquia Medellin Colombia University of Split Faculty of Electrical Engineering Mechanical Engineering and Naval Architecture Split Croatia University of Split Faculty of Science Split Croatia Institute Rudjer Boskovic Zagreb Croatia University of Cyprus Nicosia Cyprus Charles University Prague Czech Republic Escuela Politecnica Nacional Quito Ecuador Universidad San Francisco de Quito Quito Ecuador Academy of Scientific Research and Technology of the Arab Republic of Egypt Egyptian Network of High Energy Physics Cairo Egypt Center for High Energy Physics (CHEP-FU) Fayoum University El-Fayoum Egypt National Institute of Chemical Physics and Biophysics Tallinn Estonia Department of Physics University of Helsinki Helsinki Finland Helsinki Institut

The production of a top quark-antiquark pair in association with a W boson (tt¯W) is measured in proton-proton collisions at a center-of-mass energy of 13 TeV. The analyzed data was recorded by the CMS experiment at the CERN LHC and corresponds to an integrated luminosity of 138 fb⁻¹. Events with two or three leptons (electrons and muons) and additional jets are selected. In events with two leptons, a multiclass neural network is used to distinguish between the signal and background processes. Events with three leptons are categorized based on the number of jets and of jets originating from b quark hadronization, and the lepton charges. The inclusive tt¯W production cross section in the full phase space is measured to be 868 ± 40(stat) ± 51(syst) fb. The tt¯W⁺ and tt¯W⁻ cross sections are also measured as 553 ± 30(stat) ± 30(syst) and 343 ± 26(stat) ± 25(syst) fb, respectively, and the corresponding ratio of the two cross sections is found to be 1.61±0.15stat_−0.05^+0.07syst. The measured cross sections are larger than but consistent with the standard model predictions within two standard deviations, and represent the most precise measurement of these cross sections to date. © The Author(s) 2023.

关键词： Hadron-Hadron Scattering Top Physics

来源：评论

学校读者我要写书评

暂无评论

Search for CP violation in t t ¯ H and tH production in multilepton channels in proton-proton collisions at √s = 13 TeV

引用

Journal of High Energy Physics 2023年第7期2023卷 92页

作者： Tumasyan, A. Adam, W. Andrejkovic, J.W. Bergauer, T. Chatterjee, S. Damanakis, K. Dragicevic, M. Escalante Del Valle, A. Hussain, P.S. Jeitler, M. Krammer, N. Lechner, L. Liko, D. Mikulec, I. Paulitsch, P. Pitters, F.M. Schieck, J. Schöfbeck, R. Schwarz, D. Templ, S. Waltenberger, W. Wulz, C.-E. Darwish, M.R. Janssen, T. Kello, T. Rejeb Sfar, H. Van Mechelen, P. Bols, E.S. D’Hondt, J. De Moor, A. Delcourt, M. El Faham, H. Lowette, S. Moortgat, S. Morton, A. Müller, D. Sahasransu, A.R. Tavernier, S. Van Doninck, W. Vannerom, D. Clerbaux, B. De Lentdecker, G. Favart, L. Jaramillo, J. Lee, K. Mahdavikhorrami, M. Makarenko, I. Malara, A. Paredes, S. Pétré, L. Postiau, N. Starling, E. Thomas, L. Vanden Bemden, M. Vander Velde, C. Vanlaer, P. Dobur, D. Knolle, J. Lambrecht, L. Mestdach, G. Niedziela, M. Rendón, C. Roskas, C. Samalan, A. Skovpen, K. Tytgat, M. Van Den Bossche, N. Vermassen, B. Wezenbeek, L. Benecke, A. Bruno, G. Bury, F. Caputo, C. David, P. Delaere, C. Donertas, I.S. Giammanco, A. Jaffel, K. Jain, Sa. Lemaitre, V. Mondal, K. Prisciandaro, J. Taliercio, A. Tran, T.T. Vischia, P. Wertz, S. Alves, G.A. Coelho, E. Hensel, C. Moraes, A. Rebello Teles, P. Aldá Júnior, W.L. Alves Gallo Pereira, M. Barroso Ferreira Filho, M. Brandao Malbouisson, H. Carvalho, W. Chinellato, J. Da Costa, E.M. Da Silveira, G.G. De Jesus Damiao, D. Dos Santos Sousa, V. Fonseca De Souza, S. Martins, J. Mora Herrera, C. Mota Amarilo, K. Mundim, L. Nogima, H. Santoro, A. Silva Do Amaral, S.M. Sznajder, A. Thiel, M. Torres Da Silva De Araujo, F. Vilela Pereira, A. Bernardes, C.A. Calligaris, L. Fernandez Perez Tomei, T.R. Gregores, E.M. Mercadante, P.G. Novaes, S.F. Padula, Sandra S. Aleksandrov, A. Antchev, G. Hadjiiska, R. Iaydjiev, P. Misheva, M. Rodozov, M. Shopova, M. Sultanov, G. Dimitrov, A. Ivanov, T. Litov, L. Pavlov, B. Petkov, P. Petrov, A. Shumka, E. Cheng, T. Javaid, T. Mittal, M. Yuan, L. Ahmad, M. Bauer, G. Hu, Z. Lezki, S. Yi, K. Chen, G.M. Chen, H.S. Chen, M. Iemmi, F. Jiang, C.H. Kapoor, A. Liao, H. Liu, Z.-A. Milose Yerevan Physics Institute Yerevan Armenia Institut für Hochenergiephysik Vienna Austria Universiteit Antwerpen Antwerpen Belgium Vrije Universiteit Brussel Brussel Belgium Université Libre de Bruxelles Bruxelles Belgium Ghent University Ghent Belgium Université Catholique de Louvain Louvain-la-Neuve Belgium Centro Brasileiro de Pesquisas Fisicas Rio de Janeiro Brazil Universidade do Estado do Rio de Janeiro Rio de Janeiro Brazil Universidade Estadual Paulista Universidade Federal do ABC São Paulo Brazil Institute for Nuclear Research and Nuclear Energy Bulgarian Academy of Sciences Sofia Bulgaria University of Sofia Sofia Bulgaria Beihang University Beijing China Department of Physics Tsinghua University Beijing China Institute of High Energy Physics Beijing China State Key Laboratory of Nuclear Physics and Technology Peking University Beijing China Sun Yat-Sen University Guangzhou China Institute of Modern Physics and Key Laboratory of Nuclear Physics and Ion-beam Application (MOE) — Fudan University Shanghai China Zhejiang University Zhejiang Hangzhou China Universidad de Los Andes Bogota Colombia Universidad de Antioquia Medellin Colombia University of Split Faculty of Electrical Engineering Mechanical Engineering and Naval Architecture Split Croatia University of Split Faculty of Science Split Croatia Institute Rudjer Boskovic Zagreb Croatia University of Cyprus Nicosia Cyprus Charles University Prague Czech Republic Escuela Politecnica Nacional Quito Ecuador Universidad San Francisco de Quito Quito Ecuador Academy of Scientific Research and Technology of the Arab Republic of Egypt Egyptian Network of High Energy Physics Cairo Egypt Center for High Energy Physics (CHEP-FU) Fayoum University El-Fayoum Egypt National Institute of Chemical Physics and Biophysics Tallinn Estonia Department of Physics University of Helsinki Helsinki Finland Helsinki Institute of Physics Helsinki Finland Lappeenranta-Lahti University of Technology Lappeen

The charge-parity (CP) structure of the Yukawa interaction between the Higgs (H) boson and the top quark is measured in a data sample enriched in the t t ¯ H and tH associated production, using 138 fb⁻¹ of data collected in proton-proton collisions at s = 13 TeV by the CMS experiment at the CERN LHC. The study targets events where the H boson decays via H → WW or H → ττ and the top quarks decay via t → Wb: the W bosons decay either leptonically or hadronically, and final states characterized by the presence of at least two leptons are studied. Machine learning techniques are applied to these final states to enhance the separation of CP -even from CP -odd scenarios. Two-dimensional confidence regions are set on κ _t and κ~ _t, which are respectively defined as the CP -even and CP -odd top-Higgs Yukawa coupling modifiers. No significant fractional CP -odd contributions, parameterized by the quantity | fCPHtt | are observed;the parameter is determined to be | fCPHtt | = 0.59 with an interval of (0.24, 0.81) at 68% confidence level. The results are combined with previous results covering the H → ZZ and H → γγ decay modes, yielding two- and one-dimensional confidence regions on κ _t and κ~ _t, while | fCPHtt | is determined to be | fCPHtt | = 0.28 with an interval of | fCPHtt | < 0.55 at 68% confidence level, in agreement with the standard model CP -even prediction of | fCPHtt | = 0. [Figure not available: see fulltext.]. © 2023, The Author(s).

关键词： CP Violation Hadron-Hadron Scattering Higgs Physics

来源：评论

学校读者我要写书评

暂无评论

Synergistic fibroblast optimization based improved reinforcement learning for intelligent assistive device

Synergistic fibroblast optimization based improved reinforce...

引用

2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017

作者： Subashini, P. Dhivyaprabha, T.T. Krishnaveni, M. Vedha Viyas, G. Department of Computer Science Department of Mechanical Engineering Avinashilingam Institute for Home Science and Higher Education for Women Kumaraguru College of Technology Coimbatore India

ISBN: (纸本)9781538627259

Without any human assistance, safe mobility and location identification are the two primary challenges faced by visually impaired people in the surrounding area. The affordable, reliable, robust and intelligence based assistive device is needful to blind persons for object detection and obstacle avoidance during movement. The objective of this paper is to propose a novel classical Q-learning (CQL) algorithm based intellectual walking stick prototype, using Synergistic Fibroblast Optimization (SFO) for visually impaired people. SFO algorithm is applied to choose the optimal Q-values stored in Q-table that significantly improve the learning ability of CQL for solving object detection, obstacle avoidance and location identification in complex and dynamic environments. The proposed model is able to provide effective decisions to visually challenged people as voice messages, to take safety navigational directions, based on the sensor information obtained by interacting with the environment. The prototype is exposed to learn the obstacle avoidance experience with a large volume of real time data instances collected in various real world situations, and optimized learning scheme is constructed using derived control policy. The proposed conceptual framework demonstrates an excellent generalization performance and accurate results which mean that the prototype has the capability to fulfill object detection, location identification and obstacle avoidance tasks efficiently in uncertainty environments. © 2017 IEEE.

关键词： Reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

The effect of solidification direction with respect to gravity on ice-templated TiO2 microstructures

arXiv

引用

arXiv 2018年

作者： Scotti, Kristen L. Kearney, Lauren G. Burns, Jared Ocana, Matthew Duros, Lucas Shelhamer, Aaron Dunand, David C. Department of Materials Science and Engineering Northwestern University EvanstonIL60208 United States Department of Mechanical Engineering Trinity College HartfordCT06106 United States Department of Computer Science Northern Illinois University DekalbIL60112 United States

Unidirectional ice-templating produces materials with aligned, elongated pores via: (i) directional solidification of particle suspensions wherein suspended particles are rejected and incorporated between aligned dendrites, (ii) sublimation of the solidified fluid, and (iii) sintering of the particles into elongated walls which are templated by the ice dendrites. Most ice-templating studies utilize upward solidification techniques, where solid ice is located at the bottom of the solidification mold (closest to the cold source), the liquid suspension is on top of the ice, and the solidification front advances upward, against gravity. Liquid water reaches its maximum density at 4°C;thus, liquid nearest the cold source is less dense than warmer liquid above (up to 4°C, above which, a density inversion occurs, and liquid density decreases with increasing temperature). The lower density liquid nearest the cold source is expected to rise due to buoyancy, promoting convective fluid motion during solidification. Here, we investigate the effect of solidification direction with respect to the direction of gravity on ice-templated microstructures to study the role of buoyancy-driven fluid motion during solidification. We hypothesize that, for upward solidification, the convective fluid motion that results from a liquid density gradient occurs near the solidification front. For downward solidification, we expect that this fluid motion occurs farther away from the solidification front. Aqueous suspensions of TiO2 nanoparticles (10-30 nm in size, 10, 15, and 21 vol.%) are solidified upward (against gravity, with ice on bottom and water on top), downward (water on bottom, ice on top), and horizontally (perpendicular to gravity). Microstructural investigation of sintered samples shows evidence of buoyancy-driven, convective fluid flow during solidification for samples solidified upwards (against gravity), including (i) tilting of the wall (and pore) orientation with respect to the

关键词： Solidification

来源：评论

学校读者我要写书评

暂无评论

Segmentation and Extraction for the Diamond Grain Image Based on the Gauss-polymerized Enhancement

引用

Journal of Physics: Conference Series 2019年第1期1169卷

作者： Yanfen Lin Congfu Fang Ying Deng Department of Computer Science and Engineering Xiamen Institute of Technology Xiamen Fujian 361021 China College of Mechanical Engineering and Automation Huaqiao University Xiamen Fujian 361021 China

To solve the problem of many background noises in image segmentation of diamond grains under the complicated texture background, an image segmentation and extraction method for diamond grains based on the Gauss-polymerized enhancement was proposed in this work. Firstly, the original diamond grain image was pre-processed by the method of histogram equalization in order to enhance the overall contrast effect of the image. Secondly, the image was further processed by the method of Gauss-polymerized enhancement through setting proper Gauss filter parameters, which purpose is to enhance the boundary definition between the grain and the matrix, and reduce the complex background noises. On this basis, the morphological dilation was used to eliminate the non-interested regions of the complex background noises, and obtain the segmentation region of the interested target grain. Finally, the diamond grain can be extracted from the grain image based on the segmented region of the target grain through the operation of image multiplication. The results show that the proposed method can effectively reduce the influence of the complex texture background on the segmentation and extraction of the target grain. The extracted image of the target grain can be further used to analyse the grain size characteristics and grain wear pattern identification in a higher level.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A Smart Context-Aware Program Assistant Based on Dynamic Programming Event Modeling

A Smart Context-Aware Program Assistant Based on Dynamic Pro...

引用

IEEE International Conference on Software Reliability engineering Workshops (ISSRE Wksp)

作者： Xuejiao Zhao Hongwei Li Yutian Tang Dongjing Gao Lingfeng Bao Ching-Hung Lee NTU School of Computer Science and Engineering Singapore School of Computer Information Engineering Jiangxi Normal University Nanchang China Department of Computing The Hong Kong Polytechnic University Hong Kong School of Computer Science Fudan University Shanghai China College of Computer Science Zhejiang University Hangzhou China Division of Smart Product Design School of Mechanical and Aerospace Engineering Singapore

The following topics are dealt with: program testing; software fault tolerance; program debugging; software reliability; cloud computing; learning (artificial intelligence); program diagnostics; fault diagnosis; softw... 详细信息

ISBN: (纸本)9781538694442

关键词： Web pages Context modeling Monitoring Search engines Browsers Programming

来源：评论

学校读者我要写书评

暂无评论

Getting robots unfrozen and unlost in dense pedestrian crowds

arXiv

引用

arXiv 2018年

作者： Fan, Tingxiang Cheng, Xinjing Pan, Jia Long, Pinxin Liu, Wenxi Yang, Ruigang Manocha, Dinesh Department of Mechanical and Biomedical Engineering City University of Hong Kong CO. LTD College of Mathematics and Computer Science Fuzhou University University of Maryland College Park United States

We aim to enable a mobile robot to navigate through environments with dense crowds, e.g., shopping malls, canteens, train stations, or airport terminals. In these challenging environments, existing approaches suffer from two common problems: the robot may get frozen and cannot make any progress toward its goal, or it may get lost due to severe occlusions inside a crowd. Here we propose a navigation framework that handles the robot freezing and the navigation lost problems simultaneously. First, we enhance the robot's mobility and unfreeze the robot in the crowd using a reinforcement learning based local navigation policy developed in our previous work [1], which naturally takes into account the coordination between the robot and the human. Secondly, the robot takes advantage of its excellent local mobility to recover from its localization failure. In particular, it dynamically chooses to approach a set of recovery positions with rich features. To the best of our knowledge, our method is the first approach that simultaneously solves the freezing problem and the navigation lost problem in dense crowds. We evaluate our method in both simulated and real-world environments and demonstrate that it outperforms the state-of-the-art approaches. Videos are available at https://***/view/rlslam. Copyright © 2018, The Authors. All rights reserved.

关键词： Freezing

来源：评论

学校读者我要写书评

暂无评论

Observation of Single-Top-Quark Production in Association with a Photon Using the ATLAS Detector

引用

Physical Review Letters 2023年第18期131卷 181901-181901页

作者： G. Aad B. Abbott D. C. Abbott K. Abeling S. H. Abidi A. Aboulhorma H. Abramowicz H. Abreu Y. Abulaiti A. C. Abusleme Hoffman B. S. Acharya B. Achkar L. Adam C. Adam Bourdarios L. Adamczyk L. Adamek S. V. Addepalli J. Adelman A. Adiguzel S. Adorni T. Adye A. A. Affolder Y. Afik M. N. Agaras J. Agarwala A. Aggarwal C. Agheorghiesei J. A. Aguilar-Saavedra A. Ahmad F. Ahmadov W. S. Ahmed S. Ahuja X. Ai G. Aielli I. Aizenberg M. Akbiyik T. P. A. Åkesson A. V. Akimov K. Al Khoury G. L. Alberghi J. Albert P. Albicocco M. J. Alconada Verzini S. Alderweireldt M. Aleksa I. N. Aleksandrov C. Alexa T. Alexopoulos A. Alfonsi F. Alfonsi M. Alhroob B. Ali S. Ali M. Aliev G. Alimonti C. Allaire B. M. M. Allbrooke P. P. Allport A. Aloisio F. Alonso C. Alpigiani E. Alunno Camelia M. Alvarez Estevez M. G. Alviggi Y. Amaral Coutinho A. Ambler C. Amelung C. G. Ames D. Amidei S. P. Amor Dos Santos S. Amoroso K. R. Amos C. S. Amrouche V. Ananiev C. Anastopoulos N. Andari T. Andeen J. K. Anders S. Y. Andrean A. Andreazza S. Angelidakis A. Angerami A. V. Anisenkov A. Annovi C. Antel M. T. Anthony E. Antipov M. Antonelli D. J. A. Antrim F. Anulli M. Aoki J. A. Aparisi Pozo M. A. Aparo L. Aperio Bella C. Appelt N. Aranzabal V. Araujo Ferraz C. Arcangeletti A. T. H. Arce E. Arena J-F. Arguin S. Argyropoulos J.-H. Arling A. J. Armbruster O. Arnaez H. Arnold Z. P. Arrubarrena Tame G. Artoni H. Asada K. Asai S. Asai N. A. Asbah E. M. Asimakopoulou J. Assahsah K. Assamagan R. Astalos R. J. Atkin M. Atkinson N. B. Atlay H. Atmani P. A. Atmasiddha K. Augsten S. Auricchio A. D. Auriol V. A. Austrup G. Avner G. Avolio K. Axiotis M. K. Ayoub G. Azuelos D. Babal H. Bachacou K. Bachas A. Bachiu F. Backman A. Badea P. Bagnaia M. Bahmani A. J. Bailey V. R. Bailey J. T. Baines C. Bakalis O. K. Baker P. J. Bakker E. Bakos D. Bakshi Gupta S. Balaji R. Balasubramanian E. M. Baldin P. Balek E. Ballabene F. Balli L. M. Baltes W. K. Balunas J. Balz E. Banas M. Bandieramonte A. Bandyopadhyay S. Bansal L. Barak E. L. Barberio D. Barberis M. Barbero G. Barbour K. CPPM Aix-Marseille Université CNRS/IN2P3 Marseille France Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman Oklahoma USA Department of Physics University of Massachusetts Amherst Massachusetts USA II. Physikalisches Institut Georg-August-Universität Göttingen Göttingen Germany Physics Department Brookhaven National Laboratory Upton New York USA Faculté des sciences Université Mohammed V Rabat 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 Department of Physics New York University New York New York USA Departamento de Física Pontificia Universidad Católica de Chile Santiago Chile INFN Gruppo Collegato di Udine Sezione di Trieste Udine Italy ICTP Trieste Italy Institut für Physik Universität Mainz Mainz Germany LAPP Université 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 Ontario Canada Department of Physics Brandeis University Waltham Massachusetts USA Department of Physics Northern Illinois University DeKalb Illinois USA Department of Physics Istanbul University Istanbul Türkiye 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 California USA CERN Geneva Switzerland Institut de Física d’Altes Energies (IFAE) Barcelona Institute of Science and Technology Barcelona Spain INFN Sezione di Pavia Italy Dipartimento di Fisica Università di Pavia Pavia Italy Department of Physics Alexandru Ioan Cuza University of Iasi Iasi Romania Departamento de Física Teórica y del Cosmos Universidad de Granada Granada (Spain) Spa

This Letter reports the observation of single top quarks produced together with a photon, which directly probes the electroweak coupling of the top quark. The analysis uses 139 fb−1 of 13 TeV proton-proton collision data collected with the ATLAS detector at the Large Hadron Collider. Requiring a photon with transverse momentum larger than 20 GeV and within the detector acceptance, the fiducial cross section is measured to be 688±23(stat) −71+75(syst) fb, to be compared with the standard model prediction of 515−42+36 fb at next-to-leading order in QCD.

关键词： Electroweak interaction Particle production Photons Top quark Hadron colliders

来源：评论

学校读者我要写书评

暂无评论

Privacy in Distributed Average Consensus

引用

IFAC-PapersOnLine 2017年第1期50卷 9515-9520页

作者： Gupta N. Katz J. Chopra N. Department of Mechanical Engineering University of Maryland College Park MD 20742 United States Department of Computer Science University of Maryland College Park MD 20742 United States

Distributed average consensus refers to computing average of inputs held by multiple agents communicating with each other over peer-to-peer network. Cooperation amongst agents is imperative for any distributed average consensus protocol as each agent has to share its input with other agents, which are usually the adjacent(neighboring) agents. That being said, privacy issues could discourage some agents from participating in such protocols. This paper proposes a novel distributed privacy mechanism that preserves privacy of the collection of honest agents’ inputs as long as the colluding semi-honest agents do not form a vertex cut. The proposed privacy mechanism does not alter the average of agents’ inputs, hence it does not provide privacy against what is already lost by knowing the average of the inputs. It poses minimal additional computation and communication costs, requires no alteration of the distributed consensus protocol and promises a highly scalable practical solution for privacy in distributed average consensus. The privacy achieved is quantified using Kullback-Leibler divergence (KL-divergence) and limitations are discussed analytically for two cases; case i) inputs are continuous random variables, and case ii) inputs are discrete random variables. © 2017

关键词： distributed average consensus distributed mechanism Privacy semi-honest agents

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：