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20th IEEE Symposium on Communications and Vehicular technology in the BeNeLux, IEEE SCVT 2013

作者： Huayi, Wu Zhidong, Shen Baohua, Bai School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing 100083 China International School of Software Wuhan University Wuhan 430079 China Communication and Power Utilization Technology Subcompany State Grid Electric Power Research Institute Beijing 102200 China

ISBN: (纸本)9781479932061

As one type of the attacks happening in MAC layer of wireless networks, a selfish behavior can degrade network performance significantly. In this paper, we studied a hybrid wireless network including UWB devices and WiFi devices together and analyze the characteristics of selfish behavior and the methods how to expose it. In order to improve the self-giving cooperation between the nodes in hybrid wireless networks and increase the fairness index of the whole networks, a security mechanism based on a puzzle model was proposed in this paper. The punishment mechanism was used both in a common control channel and a data channel. And then, we proposed an optimal algorithm to reduce the interference of networks. The results of stimulations show that the proposed protocol improves the self-giving cooperation between nodes in the networks and make the interference of the network minimum. © 2013 IEEE.

关键词： Wireless local area networks (WLAN)

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A novel protein complex identification algorithm based on gene co-expression (PCIA-GeCo)

A novel protein complex identification algorithm based on ge...

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2013 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2013

作者： Zhao, Junmin Hu, Xiaohua He, Tingting Li, Peng Zhang, Ming Shen, Xianjun National Engineering Research Center for E-learning Central China Normal University Wuhan China School of Computer Central China Normal University Wuhan China College of Information Science and Technology Drexel University Philadelphia PA United States Institute of Computer Science and Engmeermg Henan University of Urban Construction Pingdingshan China

ISBN: (纸本)9781479913091

Recent studies have shown that protein complex is composed of core and attachment proteins, and proteins inside the core are highly co-expressed. Based on this new concept, we reconstruct weighted PPI network by using gene expression data, and develop a novel protein complex identification algorithm from the angle of edge(PCIA-GeCo). First, we select the edge with high co-expressed coefficient as seed to form the preliminary cores. Then, the preliminary cores are filtered according to the weighted density of complex core to obtain the unique core. Finally, the protein complexes are generated by identifying attachment proteins for each core. A comprehensive comparison in term of F-measure, Coverage rate between our method and three other existing algorithms HUNTER, COACH and CORE has been made by comparing the predicted complexes against benchmark complexes. The evaluation results show our method PCIA-GeCo is effective;it can identify protein complexes more accurately. © 2013 IEEE.

关键词： Proteins

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bigSIR: A bipartite graph based service recommendation method

BIGSIR: A bipartite graph based service recommendation metho...

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2013 IEEE 9th World Congress on Services, SERVICES 2013

作者： Jiang, Bo Zhang, Xiao-Xiao Pan, Wei-Feng Hu, Bo School of Computer Science and Information Engineering Zhejiang Gongshang University Hangzhou 30018 China College of Computer Science and Technology Zhejiang University Hangzhou 310007 China State Key Laboratory of Software Engineering Wuhan University 430072 China Kingdee Research Kingdee International Software Group Co. Ltd. Shenzhen 518057 China Research Institute of Information Technology Tsinghua University Beijing 100084 China

ISBN: (纸本)9780768550244

Cloud computing is an Internet-based computing. It relies on sharing computing resources which are delivered as services on the Internet. Web service is one of the most important types of services that can be used in cloud computing. But many of them may be similar in some functional or nonfunctional properties, making how to recommend a suitable web service a problem facing many developers. researchers have taken the QoS attributes into consideration. However, their research is on the premise that all the recommended web services are compatible, i.e., the recommended web services can be composed with existing web services. It may not always be true. In this paper, we only take the compatibility of web services into consideration, and present a BIpartite Graph based Service Recommendation (bigSIR) method to address the service compatibility problem. bigSIR uses the historical usage data of web services to recommend web services to developers. Different from existing web service recommendation approaches, bigSIR adopts a bipartite graph to visual the web services and the relationship between them. Based on the graph model, an effective recommendation algorithm is introduced to recommend the suitable web services. Our approach is evaluated on a dataset constructed from myExperiment, a search engine that contains about 1, 851 web services and 2, 000 workflows. Experimental results demonstrate that apart from some isolated web services or workflows, bigSIR can obtain promising results. And we also explore the factors that will influence the performance of bigSIR. This work not only provides a new dataset, but also highlights a new perspective for service recommendation, i.e. services as a bipartite network. © 2013 IEEE.

关键词： Web services

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Dielectron Mass Spectra from Au+Au Collisions at sNN=200 GeV

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Physical Review Letters 2014年第2期113卷 022301-022301页

作者： L. Adamczyk J. K. Adkins G. Agakishiev M. M. Aggarwal Z. Ahammed I. Alekseev J. Alford C. D. Anson A. Aparin D. Arkhipkin E. C. Aschenauer G. S. Averichev A. Banerjee Z. Barnovska D. R. Beavis R. Bellwied A. Bhasin A. K. Bhati P. Bhattarai H. Bichsel J. Bielcik J. Bielcikova L. C. Bland I. G. Bordyuzhin W. Borowski J. Bouchet A. V. Brandin S. G. Brovko S. Bültmann I. Bunzarov T. P. Burton J. Butterworth H. Caines M. Calderón de la Barca Sánchez D. Cebra R. Cendejas M. C. Cervantes P. Chaloupka Z. Chang S. Chattopadhyay H. F. Chen J. H. Chen L. Chen J. Cheng M. Cherney A. Chikanian W. Christie J. Chwastowski M. J. M. Codrington J. G. Cramer H. J. Crawford X. Cui S. Das A. Davila Leyva L. C. De Silva R. R. Debbe T. G. Dedovich J. Deng A. A. Derevschikov R. Derradi de Souza S. Dhamija B. di Ruzza L. Didenko C. Dilks F. Ding P. Djawotho X. Dong J. L. Drachenberg J. E. Draper C. M. Du L. E. Dunkelberger J. C. Dunlop L. G. Efimov J. Engelage K. S. Engle G. Eppley L. Eun O. Evdokimov R. Fatemi S. Fazio J. Fedorisin P. Filip E. Finch Y. Fisyak C. E. Flores C. A. Gagliardi D. R. Gangadharan D. Garand F. Geurts A. Gibson M. Girard S. Gliske D. Grosnick Y. Guo A. Gupta S. Gupta W. Guryn B. Haag O. Hajkova A. Hamed L.-X. Han R. Haque J. W. Harris S. Heppelmann A. Hirsch G. W. Hoffmann D. J. Hofman S. Horvat B. Huang H. Z. Huang X. Huang P. Huck T. J. Humanic G. Igo W. W. Jacobs H. Jang E. G. Judd S. Kabana D. Kalinkin K. Kang K. Kauder H. W. Ke D. Keane A. Kechechyan A. Kesich Z. H. Khan D. P. Kikola I. Kisel A. Kisiel D. D. Koetke T. Kollegger J. Konzer I. Koralt W. Korsch L. Kotchenda P. Kravtsov K. Krueger I. Kulakov L. Kumar R. A. Kycia M. A. C. Lamont J. M. Landgraf K. D. Landry J. Lauret A. Lebedev R. Lednicky J. H. Lee M. J. LeVine C. Li W. Li X. Li Y. Li Z. M. Li L. M. Lima M. A. Lisa F. Liu T. Ljubicic W. J. Llope R. S. Longacre X. Luo G. L. Ma Y. G. Ma D. M. M. D. Madagodagettige Don D. P. Mahapatra R. Majka S. Margetis C. Markert H. Masui H. S. Matis D. McDonald T. S. McShane N. G. Minaev S. Mioduszewski B. Mohant AGH University of Science and Technology Cracow Poland University of Kentucky Lexington Kentucky 40506-0055 USA Joint Institute for Nuclear Research Dubna 141 980 Russia Panjab University Chandigarh 160014 India Variable Energy Cyclotron Centre Kolkata 700064 India Alikhanov Institute for Theoretical and Experimental Physics Moscow Russia Kent State University Kent Ohio 44242 USA Ohio State University Columbus Ohio 43210 USA Brookhaven National Laboratory Upton New York 11973 USA Nuclear Physics Institute AS CR 250 68 Řež/1:108793 Prague Czech Republic University of Houston Houston Texas 77204 USA University of Jammu Jammu 180001 India University of Texas Austin Texas 78712 USA University of Washington Seattle Washington 98195 USA Czech Technical University in Prague FNSPE Prague 115 19 Czech Republic SUBATECH Nantes France Moscow Engineering Physics Institute Moscow Russia University of California Davis California 95616 USA Old Dominion University Norfolk Virginia 23529 USA Rice University Houston Texas 77251 USA Yale University New Haven Connecticut 06520 USA Pennsylvania State University University Park Pennsylvania 16802 USA Texas A&M University College Station Texas 77843 USA University of Science and Technology of China Hefei 230026 China Shanghai Institute of Applied Physics Shanghai 201800 China Central China Normal University (HZNU) Wuhan 430079 China Tsinghua University Beijing 100084 China Creighton University Omaha Nebraska 68178 USA Cracow University of Technology Cracow Poland University of California Berkeley California 94720 USA Institute of Physics Bhubaneswar 751005 India Shandong University Jinan Shandong 250100 China Institute of High Energy Physics Protvino Russia Universidade Estadual de Campinas Sao Paulo Brazil Indiana University Bloomington Indiana 47408 USA Lawrence Berkeley National Laboratory Berkeley California 94720 USA Valparaiso University Valparaiso Indiana 46383 USA Institute of Modern P

We report the STAR measurements of dielectron (e+e−) production at midrapidity (|yee|<1) in Au+Au collisions at sNN=200 GeV. The measurements are evaluated in different invariant mass regions with a focus on 0.30–0.76 (ρ-like), 0.76–0.80 (ω-like), and 0.98–1.05 (ϕ-like) GeV/c2. The spectrum in the ω-like and ϕ-like regions can be well described by the hadronic cocktail simulation. In the ρ-like region, however, the vacuum ρ spectral function cannot describe the shape of the dielectron excess. In this range, an enhancement of 1.77±0.11(stat)±0.24(syst)±0.33(cocktail) is determined with respect to the hadronic cocktail simulation that excludes the ρ meson. The excess yield in the ρ-like region increases with the number of collision participants faster than the ω and ϕ yields. Theoretical models with broadened ρ contributions through interactions with constituents in the hot QCD medium provide a consistent description of the dilepton mass spectra for the measurement presented here and the earlier data at the Super Proton Synchrotron energies.

关键词： MASS spectrometry MESONS PROTON synchrotrons HEAVY ion collisions DILEPTON production SIMULATION methods & models

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Beam Energy Dependence of Moments of the Net-Charge Multiplicity Distributions in Au+Au Collisions at RHIC

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Physical Review Letters 2014年第9期113卷 092301-092301页

作者： L. Adamczyk J. K. Adkins G. Agakishiev M. M. Aggarwal Z. Ahammed I. Alekseev J. Alford C. D. Anson A. Aparin D. Arkhipkin E. C. Aschenauer G. S. Averichev J. Balewski A. Banerjee Z. Barnovska D. R. Beavis R. Bellwied A. Bhasin A. K. Bhati P. Bhattarai H. Bichsel J. Bielcik J. Bielcikova L. C. Bland I. G. Bordyuzhin W. Borowski J. Bouchet A. V. Brandin S. G. Brovko S. Bültmann I. Bunzarov T. P. Burton J. Butterworth H. Caines M. Calderón de la Barca Sánchez D. Cebra R. Cendejas M. C. Cervantes P. Chaloupka Z. Chang S. Chattopadhyay H. F. Chen J. H. Chen L. Chen J. Cheng M. Cherney A. Chikanian W. Christie J. Chwastowski M. J. M. Codrington R. Corliss J. G. Cramer H. J. Crawford X. Cui S. Das A. Davila Leyva L. C. De Silva R. R. Debbe T. G. Dedovich J. Deng A. A. Derevschikov R. Derradi de Souza S. Dhamija B. di Ruzza L. Didenko C. Dilks F. Ding P. Djawotho X. Dong J. L. Drachenberg J. E. Draper C. M. Du L. E. Dunkelberger J. C. Dunlop L. G. Efimov J. Engelage K. S. Engle G. Eppley L. Eun O. Evdokimov R. Fatemi S. Fazio J. Fedorisin P. Filip E. Finch Y. Fisyak C. E. Flores C. A. Gagliardi D. R. Gangadharan D. Garand F. Geurts A. Gibson M. Girard S. Gliske D. Grosnick Y. Guo A. Gupta S. Gupta W. Guryn B. Haag O. Hajkova A. Hamed L-X. Han R. Haque J. W. Harris J. P. Hays-Wehle S. Heppelmann A. Hirsch G. W. Hoffmann D. J. Hofman S. Horvat B. Huang H. Z. Huang P. Huck T. J. Humanic G. Igo W. W. Jacobs H. Jang E. G. Judd S. Kabana D. Kalinkin K. Kang K. Kauder H. W. Ke D. Keane A. Kechechyan A. Kesich Z. H. Khan D. P. Kikola I. Kisel A. Kisiel D. D. Koetke T. Kollegger J. Konzer I. Koralt W. Korsch L. Kotchenda P. Kravtsov K. Krueger I. Kulakov L. Kumar R. A. Kycia M. A. C. Lamont J. M. Landgraf K. D. Landry J. Lauret A. Lebedev R. Lednicky J. H. Lee W. Leight M. J. LeVine C. Li W. Li X. Li Y. Li Z. M. Li L. M. Lima M. A. Lisa F. Liu T. Ljubicic W. J. Llope R. S. Longacre X. Luo G. L. Ma Y. G. Ma D. M. M. D. Madagodagettige Don D. P. Mahapatra R. Majka S. Margetis C. Markert H. Masui H. S. Matis D. McDonald T. S. McShan AGH University of Science and Technology Cracow Poland University of Kentucky Lexington Kentucky 40506-0055 USA Joint Institute for Nuclear Research Dubna 141 980 Russia Panjab University Chandigarh 160014 India Variable Energy Cyclotron Centre Kolkata 700064 India Alikhanov Institute for Theoretical and Experimental Physics Moscow Russia Kent State University Kent Ohio 44242 USA Ohio State University Columbus Ohio 43210 USA Brookhaven National Laboratory Upton New York 11973 USA Massachusetts Institute of Technology Cambridge Massachusetts 02139-4307 USA Nuclear Physics Institute AS CR 250 68 Řež/Prague Czech Republic University of Houston Houston Texas 77204 USA University of Jammu Jammu 180001 India University of Texas Austin Texas 78712 USA University of Washington Seattle Washington 98195 USA Czech Technical University in Prague FNSPE Prague 115 19 Czech Republic SUBATECH Nantes France Moscow Engineering Physics Institute Moscow Russia University of California Davis California 95616 USA Old Dominion University Norfolk Virginia 23529 USA Rice University Houston Texas 77251 USA Yale University New Haven Connecticut 06520 USA Pennsylvania State University University Park Pennsylvania 16802 USA Texas A&M University College Station Texas 77843 USA University of Science & Technology of China Hefei 230026 China Shanghai Institute of Applied Physics Shanghai 201800 China Central China Normal University (HZNU) Wuhan 430079 China Tsinghua University Beijing 100084 China Creighton University Omaha Nebraska 68178 USA Cracow University of Technology Cracow Poland University of California Berkeley California 94720 USA Institute of Physics Bhubaneswar 751005 India Shandong University Jinan Shandong 250100 China Institute of High Energy Physics Protvino Russia Universidade Estadual de Campinas Sao Paulo Brazil Indiana University Bloomington Indiana 47408 USA Lawrence Berkeley National Laboratory Berkeley California 94720 USA Valpar

We report the first measurements of the moments—mean (M), variance (σ2), skewness (S), and kurtosis (κ)—of the net-charge multiplicity distributions at midrapidity in Au+Au collisions at seven energies, ranging from sNN=7.7 to 200 GeV, as a part of the Beam Energy Scan program at RHIC. The moments are related to the thermodynamic susceptibilities of net charge, and are sensitive to the location of the QCD critical point. We compare the products of the moments, σ2/M, Sσ, and κσ2, with the expectations from Poisson and negative binomial distributions (NBDs). The Sσ values deviate from the Poisson baseline and are close to the NBD baseline, while the κσ2 values tend to lie between the two. Within the present uncertainties, our data do not show nonmonotonic behavior as a function of collision energy. These measurements provide a valuable tool to extract the freeze-out parameters in heavy-ion collisions by comparing with theoretical models.

关键词： ENERGY security ATOMIC beams COLLISIONS (Nuclear physics) RELATIVISTIC Heavy Ion Collider GOLD POISSON distribution NEGATIVE binomial distribution THERMODYNAMICS

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GPU accelerated item-based collaborative filtering for big-data applications

GPU accelerated item-based collaborative filtering for big-d...

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IEEE International Conference on big data

作者： Chandima Hewa Nadungodage Yuni Xia John Jaehwan Lee Myungcheol Lee Choon Seo Park Department of Computer & Information Science Purdue School of Science Indianapolis USA Department of Electrical & Computer Engineering Purdue School of Engineering & Technology Indianapolis USA Big-Data Software Platform Research Department Software Research Laboratory Electronics & Telecommunications Research Institute Korea

Recommendation systems are a popular marketing strategy for online service providers. These systems predict a customer's future preferences from the past behaviors of that customer and the other customers. Most of the popular online stores process millions of transactions per day; therefore, providing quick and quality recommendations using the large amount of data collected from past transactions can be challenging. Parallel processing power of GPUs can be used to accelerate the recommendation process. However, the amount of memory available on a GPU card is limited; thus, a number of passes may be required to completely process a large-scale dataset. This paper proposes two parallel, item-based recommendation algorithms implemented using the CUDA platform. Considering the high sparsity of the user-item data, we utilize two compression techniques to reduce the required number of passes and increase the speedup. The experimental results on synthetic and real-world datasets show that our algorithms outperform the respective CPU implementations and also the naïve GPU implementation which does not use compression.

关键词： Graphics processing units Runtime Kernel Instruction sets Indexes Memory management Acceleration

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Search for the large-scale cosmic-ray anisotropy at 1018 eV with the telescope array surface detector 33

Search for the large-scale cosmic-ray anisotropy at 1018 eV ...

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33rd International Cosmic Rays Conference, ICRC 2013

作者： Kawata, K. Fukushima, M. Ikeda, D. Ivanov, D. Kido, E. Nagataki, S. Nonaka, T. Okuda, T. Sagawa, H. Sakurai, N. Stokes, B.T. Takeda, M. Taketa, A. Thomson, G.B. Tkachev, I. Tokuno, H. Institute for Cosmic Ray Research University of Tokyo Kashiwa Chiba Japan University of Utah High Energy Astrophysics Institute Salt Lake CityUT United States Astrophysical Big Bang Laboratory RIKEN Wako Saitama Japan Department of Physical Sciences Ritsumeikan University Kusatsu Shiga Japan Graduate School of Science Osaka City University Osaka Osaka Japan Earthquake Research Institute University of Tokyo Bunkyo-ku Tokyo Japan Institute for Nuclear Research of the Russian Academy of Sciences Moscow Russia Graduate School of Science and Engineering Tokyo Institute of Technology Meguro Tokyo Japan

ISBN: (纸本)9788589064293

We report on the search for the large-scale cosmic-ray anisotropy in the energy region between 1018.0 eV and 1018.4 eV in the northern sky, based on the dataset taken during the period between 2008 May and 2012 October with the surface detector of the Telescope Array experiment (TA SD). The number of analyzed air shower events is approximately 1.6 times larger than that of the AGASA observation which claimed the presence of the large-scale anisotropies before. The expected anisotropy map observed by the TA SD is demonstrated using the MC events including the artificial anisotropies assuming the AGASA results. This map shows detectable intensities with the TA SD around the positions of the AGASA anisotropies. We find, however, no such strong excesses or deficit in the actual TA SD data. © 2013 Sociedade Brasileira de Fisica. All Rights Reserved.

关键词： Cosmic rays

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J/ψ production at low pT in Au + Au and Cu + Cu collisions at sNN=200 GeV with the STAR detector

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Physical Review C 2014年第2期90卷 024906-024906页

作者： L. Adamczyk J. K. Adkins G. Agakishiev M. M. Aggarwal Z. Ahammed I. Alekseev J. Alford C. D. Anson A. Aparin D. Arkhipkin E. C. Aschenauer G. S. Averichev A. Banerjee D. R. Beavis R. Bellwied A. Bhasin A. K. Bhati P. Bhattarai H. Bichsel J. Bielcik J. Bielcikova L. C. Bland I. G. Bordyuzhin W. Borowski J. Bouchet A. V. Brandin S. G. Brovko S. Bültmann I. Bunzarov T. P. Burton J. Butterworth H. Caines M. Calderón de la Barca Sánchez J. M. Campbell D. Cebra R. Cendejas M. C. Cervantes P. Chaloupka Z. Chang S. Chattopadhyay H. F. Chen J. H. Chen L. Chen J. Cheng M. Cherney A. Chikanian W. Christie J. Chwastowski M. J. M. Codrington G. Contin J. G. Cramer H. J. Crawford X. Cui S. Das A. Davila Leyva L. C. De Silva R. R. Debbe T. G. Dedovich J. Deng A. A. Derevschikov R. Derradi de Souza B. di Ruzza L. Didenko C. Dilks F. Ding P. Djawotho X. Dong J. L. Drachenberg J. E. Draper C. M. Du L. E. Dunkelberger J. C. Dunlop L. G. Efimov J. Engelage K. S. Engle G. Eppley L. Eun O. Evdokimov O. Eyser R. Fatemi S. Fazio J. Fedorisin P. Filip Y. Fisyak C. E. Flores C. A. Gagliardi D. R. Gangadharan D. Garand F. Geurts A. Gibson M. Girard S. Gliske L. Greiner D. Grosnick D. S. Gunarathne Y. Guo A. Gupta S. Gupta W. Guryn B. Haag A. Hamed L-X. Han R. Haque J. W. Harris S. Heppelmann A. Hirsch G. W. Hoffmann D. J. Hofman S. Horvat B. Huang H. Z. Huang X. Huang P. Huck T. J. Humanic G. Igo W. W. Jacobs H. Jang E. G. Judd S. Kabana D. Kalinkin K. Kang K. Kauder H. W. Ke D. Keane A. Kechechyan A. Kesich Z. H. Khan D. P. Kikola I. Kisel A. Kisiel D. D. Koetke T. Kollegger J. Konzer I. Koralt L. K. Kosarzewski L. Kotchenda A. F. Kraishan P. Kravtsov K. Krueger I. Kulakov L. Kumar R. A. Kycia M. A. C. Lamont J. M. Landgraf K. D. Landry J. Lauret A. Lebedev R. Lednicky J. H. Lee C. Li W. Li X. Li Y. Li Z. M. Li M. A. Lisa F. Liu T. Ljubicic W. J. Llope M. Lomnitz R. S. Longacre X. Luo G. L. Ma Y. G. Ma D. P. Mahapatra R. Majka S. Margetis C. Markert H. Masui H. S. Matis D. McDonald T. S. McShane N. G. Minaev S. Mioduszewski B. Mohanty M. AGH University of Science and Technology Cracow Poland University of Kentucky Lexington Kentucky 40506-0055 USA Joint Institute for Nuclear Research Dubna 141 980 Russia Panjab University Chandigarh 160014 India Variable Energy Cyclotron Centre Kolkata 700064 India Alikhanov Institute for Theoretical and Experimental Physics Moscow Russia Kent State University Kent Ohio 44242 USA Ohio State University Columbus Ohio 43210 USA Brookhaven National Laboratory Upton New York 11973 USA University of Houston Houston Texas 77204 USA University of Jammu Jammu 180001 India University of Texas Austin Texas 78712 USA University of Washington Seattle Washington 98195 USA Czech Technical University in Prague FNSPE Prague 115 19 Czech Republic Nuclear Physics Institute AS CR 250 68 Řež/Prague Czech Republic SUBATECH Nantes France Moscow Engineering Physics Institute Moscow Russia University of California Davis California 95616 USA Old Dominion University Norfolk Virginia 23529 USA Rice University Houston Texas 77251 USA Yale University New Haven Connecticut 06520 USA Pennsylvania State University University Park Pennsylvania 16802 USA Texas A&M University College Station Texas 77843 USA University of Science and Technology of China Hefei 230026 China Shanghai Institute of Applied Physics Shanghai 201800 China Central China Normal University (HZNU) Wuhan 430079 China Tsinghua University Beijing 100084 China Creighton University Omaha Nebraska 68178 USA Cracow University of Technology Cracow Poland Lawrence Berkeley National Laboratory Berkeley California 94720 USA University of California Berkeley California 94720 USA Institute of Physics Bhubaneswar 751005 India Shandong University Jinan Shandong 250100 China Institute of High Energy Physics Protvino Russia Universidade Estadual de Campinas Sao Paulo Brazil Valparaiso University Valparaiso Indiana 46383 USA Institute of Modern Physics Lanzhou China University of California Los Angeles

The J/ψ pT spectrum and nuclear modification factor (RAA) are reported for pT<5GeV/c and |y|<1 from 0% to 60% central Au+Au and Cu+Cu collisions at sNN=200GeV at STAR. A significant suppression of pT-integrated J/ψ production is observed in central Au+Au events. The Cu+Cu data are consistent with no suppression, although the precision is limited by the available statistics. RAA in Au+Au collisions exhibits a strong suppression at low transverse momentum and gradually increases with pT. The data are compared to high-pT STAR results and previously published BNL Relativistic Heavy Ion Collider results. Comparing with model calculations, it is found that the invariant yields at low pT are significantly above hydrodynamic flow predictions but are consistent with models that include color screening and regeneration.

关键词： COPPER isotopes GOLD isotopes DETECTORS CHARM quark PARTICLES (Nuclear physics)

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Measurement method of vehicle yaw rate with smartphone

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Jiaotong Yunshu Gongcheng Xuebao/Journal of Traffic and Transportation engineering 2013年第6期13卷 61-68页

作者： Chen, Zhi-Jun Wu, Chao-Zhong Huang, Zhen Ma, Jie Gao, Yan Research Center of Intelligent Transportation System Wuhan University of Technology Wuhan 430063 Hubei China Eng. Res. Center of Min. of Educ. for Waterway and Highway Trans. Safety Control and Equipment Wuhan University of Technology Wuhan 430063 Hubei China School of Automation Wuhan University of Technology Wuhan 430063 Hubei China National Research Center of Engineering and Technology for Road Traffic Management Traffic Management Science Research Institute of Ministry of Public Security Wuxi 214151 Jiangsu China

Vehicle yaw rates were measured by smartphone and high-precision inertial navigation system (INS). The influence of smartphone places on the measurement accuracy of yaw rate was analyzed. A self-adaptive weighted fusion algorithm was applied to reduce the measurement error of built-in gyroscope and orientation sensor of smartphone. The extreme value theory of multivariable function was used to obtain the optimal weighting factors of two sensors. The best value of yaw rate was calculated by weighted summation. Analysis result indicates that the impact of smartphone position on the measurement accuracy is very small. When smartphone is not fixed at center of gravity, the maximal relative errors of yaw rates measured by two sensors of smartphone are 0.7397% and 0.9238%, respectively. Average absolute error between fused data and INS data is 0.6077(°)·s-1. Compared with the data measured by two sensors of smartphone, the average absolute error reduces by 34.3% and 50.0%, respectively. The variance of fused data declines and rapidly converges as the number of measurement increases. The convergent time is about 6 s.

关键词： Smartphones

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Study of Xbmeson production in pp collisions at √s=7 and 8 TeV and observation of the decay Xb(3P) → ϒ (3S) γ

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European Physical Journal C 2014年第10期74卷 1-13页

作者： Aaij, R. Adeva, B. Adinolfi, M. Affolder, A. Ajaltouni, Z. Akar, S. Albrecht, J. Alessio, F. Alexander, M. Ali, S. Alkhazov, G. Alvarez Cartelle, P. Alves, A.A. Amato, S. Amerio, S. Amhis, Y. An, L. Anderlini, L. Anderson, J. Andreassen, R. Andreotti, M. Andrews, J.E. Appleby, R.B. Aquines Gutierrez, O. Archilli, F. Artamonov, A. Artuso, M. Aslanides, E. Auriemma, G. Baalouch, M. Bachmann, S. Back, J.J. Badalov, A. Baldini, W. Barlow, R.J. Barschel, C. Barsuk, S. Barter, W. Batozskaya, V. Battista, V. Bay, A. Beaucourt, L. Beddow, J. Bedeschi, F. Bediaga, I. Belogurov, S. Belous, K. Belyaev, I. Ben-Haim, E. Bencivenni, G. Benson, S. Benton, J. Berezhnoy, A. Bernet, R. Bettler, M.-O. van Beuzekom, M. Bien, A. Bifani, S. Bird, T. Bizzeti, A. Bjørnstad, P.M. Blake, T. Blanc, F. Blouw, J. Blusk, S. Bocci, V. Bondar, A. Bondar, N. Bonivento, W. Borghi, S. Borgia, A. Borsato, M. Bowcock, T.J.V. Bowen, E. Bozzi, C. Brambach, T. van den Brand, J. Bressieux, J. Brett, D. Britsch, M. Britton, T. Brodzicka, J. Brook, N.H. Brown, H. Bursche, A. Busetto, G. Buytaert, J. Cadeddu, S. Calabrese, R. Calvi, M. Calvo Gomez, M. Campana, P. Campora Perez, D. Carbone, A. Carboni, G. Cardinale, R. Cardini, A. Carson, L. Carvalho Akiba, K. Casse, G. Cassina, L. Castillo Garcia, L. Cattaneo, M. Cauet, Ch. Cenci, R. Charles, M. Charpentier, Ph. Chefdeville, M. Chen, S. Cheung, S.-F. Chiapolini, N. Chrzaszcz, M. Ciba, K. Cid Vidal, X. Ciezarek, G. Clarke, P.E.L. Clemencic, M. Cliff, H.V. Closier, J. Coco, V. Cogan, J. Cogneras, E. Collins, P. Comerma-Montells, A. Contu, A. Cook, A. Coombes, M. Coquereau, S. Corti, G. Corvo, M. Counts, I. Couturier, B. Cowan, G.A. Craik, D.C. Cruz Torres, M. Cunliffe, S. Currie, R. D’Ambrosio, C. Dalseno, J. David, P. David, P.N.Y. Davis, A. De Bruyn, K. De Capua, S. De Cian, M. De Miranda, J.M. De Paula, L. De Silva, W. De Simone, P. Decamp, D. Deckenhoff, M. Del Buono, L. Déléage, N. Derkach, D. Deschamps, O. Dettori, F. Rio de Janeiro Brazil Rio de Janeiro Brazil Center for High Energy Physics Tsinghua University Beijing China LAPP Université de Savoie CNRS/IN2P3 Annecy-Le-Vieux France Clermont Université Université Blaise Pascal CNRS/IN2P3 LPC Clermont-Ferrand France CPPM Aix-Marseille Université CNRS/IN2P3 Marseille France LAL Université Paris-Sud CNRS/IN2P3 Orsay France LPNHE Université Pierre et Marie Curie Université Paris Diderot CNRS/IN2P3 Paris France Fakultät Physik Technische Universität Dortmund Dortmund Germany Heidelberg Germany Physikalisches Institut Ruprecht-Karls-Universität Heidelberg Heidelberg Germany School of Physics University College Dublin Dublin Ireland Sezione INFN di Bari Bari Italy Sezione INFN di Bologna Bologna Italy Sezione INFN di Cagliari Cagliari Italy Sezione INFN di Ferrara Ferrara Italy Sezione INFN di Firenze Firenze Italy Laboratori Nazionali dell’INFN di Frascati Frascati Italy Sezione INFN di Genova Genoa Italy Sezione INFN di Milano Bicocca Milan Italy Sezione INFN di Milano Milan Italy Sezione INFN di Padova Padua Italy Sezione INFN di Pisa Pisa Italy Sezione INFN di Roma Tor Vergata Rome Italy Sezione INFN di Roma La Sapienza Rome Italy Henryk Niewodniczanski Institute of Nuclear Physics Polish Academy of Sciences Kraków Poland Faculty of Physics and Applied Computer Science AGH-University of Science and Technology Kraków Poland Warsaw Poland Horia Hulubei National Institute of Physics and Nuclear Engineering Bucharest-Magurele Romania Gatchina Russia Moscow Russia Moscow Russia Moscow Russia Novosibirsk Russia Novosibirsk State University Novosibirsk Russia Protvino Russia Universitat de Barcelona Barcelona Spain Universidad de Santiago de Compostela Santiago de Compostela Spain Geneva Switzerland Lausanne Switzerland Physik-Institut Universität Zürich Zurich Switzerland Nikhef National Institute for Subatomic Physics Amsterdam Netherlands Nikhef National Institute for Su

A study of meson production at LHCb is performed on proton–proton collision data, corresponding to 3.0 of integrated luminosity collected at centre-of-mass energies = 7 and 8. The fraction of Υ mesons originating from χ decays is measured as a function of the transverse momentum in the rapidity range. The radiative transition of the meson to Υ is observed for the first time. The χ mass is determined to be (Formula presented.) where the first uncertainty is statistical and the second is systematic. © 2014, CERN for the benefit of the LHCb collaboration.

关键词： Bosons

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