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检索条件"机构=State Key Laboratory of Intelligent Technology and Systems Department of Computer Science"
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An SNR-Adaptive Relaying Algorithm for Multi-Antenna Cooperative Networks
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China Communications 2017年 第10期14卷 228-236页
作者: Shuangshuang Han Peng Zhang Feijin Shi Fei-Yue Wang The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of SciencesBeijing China Qingdao Academy of Intelligent Industries Qingdao Shandong Province China The School of Computer Engineering Weifang University Shandong P. R. China Communications Headquarters Ministry of Foreign Affairs of the People's Republic of China Beijing China Research Center of Computational Experiments and Parallel Systems The National University of Defense Technology Changsha China
Multiple-input multiple-output(MIMO) and cooperative communications have been attracted great attention for the improvements of communication capacity, power consumption, and transmission coverage. The conventional fi... 详细信息
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Optical control of single-photon negative-feedback avalanche diode detector
arXiv
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arXiv 2019年
作者: Gras, Gaëtan Sultana, Nigar Huang, Anqi Jennewein, Thomas Bussières, Félix Makarov, Vadim Zbinden, Hugo ID Quantique SA CarougeCH-1227 Switzerland Group of Applied Physics University of Geneva GenevaCH-1211 Switzerland Institute for Quantum Computing University of Waterloo WaterlooONN2L 3G1 Canada Department of Electrical and Computer Engineering University of Waterloo WaterlooONN2L 3G1 Canada Institute for Quantum Information & State Key Laboratory of High Performance Computing College of Computer National University of Defense Technology Changsha410073 China Department of Physics and Astronomy University of Waterloo WaterlooONN2L 3G1 Canada Russian Quantum Center Skolkovo Moscow121205 Russia Shanghai Branch National Laboratory for Physical Sciences at Microscale and CAS Center for Excellence in Quantum Information University of Science and Technology of China Shanghai201315 China NTI Center for Quantum Communications National University of Science and Technology MISiS Moscow119049 Russia
We experimentally demonstrate optical control of negative-feedback avalanche diode (NFAD) detectors using bright light. We deterministically generate fake single-photon detections with a better timing precision than n... 详细信息
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Optimize Collapsed Gibbs Sampling for Biterm Topic Model by Alias Method
Optimize Collapsed Gibbs Sampling for Biterm Topic Model by ...
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International Joint Conference on Neural Networks
作者: Xingwei He Hua Xu Xiaomin Sun Junhui Deng Xiaoli Bai Jia Li State Key Laboratory of Intelligent Technology and Systems Tsinghua National Laboratory for Information Science and Technology Department of Computer Science and Technology Tsinghua University Beijing 100084 China Shijiazhuang Preschool Teachers College Shijiazhuang 050228 Hebei China
With the popularity of social networks, such as microblogs and Twitter, topic inference for short text is increasingly significant and essential for many content analysis tasks. Biterm topic model (BTM) is superior to... 详细信息
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Research on a new energy-recovery system for hybrid hydraulic excavators
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IOP Conference Series: Earth and Environmental science 2019年 第4期300卷
作者: Daqing Zhang Jun Gong Yuming Zhao Changsheng Liu Peng Hu Zhongyong Tang The National Enterprise R&D Center Sunward Intelligent Equipment CO. Ltd. Changsha China Department of Mechanical and Electrical Engineering Hunan University of Science and Technology. Xiangtan China The State Key Laboratory of Fluid Power and Mechatronic Systems Zhejiang University Hangzhou China
Hydraulic excavators, especially medium and large excavators, waste a lot of energy during the frequent lifting-lowering process of its boom. Recovery and regeneration the wasted energy is an important means to achiev...
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Amplitude analysis of the Λ+c → pK−π+ decay and Λ+c baryon polarization measurement in semileptonic beauty hadron decays
arXiv
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arXiv 2022年
作者: Aaij, R. Abdelmotteleb, A.S.W. Beteta, C. Abellan Abudinén, F. Ackernley, T. Adeva, B. Adinolfi, M. Afsharnia, H. Agapopoulou, C. Aidala, C.A. Aiola, S. Ajaltouni, Z. Akar, S. Akiba, K. Albrecht, J. Alessio, F. Alexander, M. Albero, A. Alfonso Aliouche, Z. Cartelle, P. Alvarez Amato, S. Amey, J.L. Amhis, Y. An, L. Anderlini, L. Andersson, M. Andreianov, A. Andreotti, M. Andreou, D. Ao, D. Archilli, F. Artamonov, A. Artuso, M. Aslanides, E. Atzeni, M. Audurier, B. Bachmann, S. Bachmayer, M. Back, J.J. Bailly-Reyre, A. Rodriguez, P. Baladron Balagura, V. Baldini, W. de Souza Leite, J. Baptista Barbetti, M. Barlow, R.J. Barsuk, S. Barter, W. Bartolini, M. Baryshnikov, F. Basels, J.M. Bassi, G. Batsukh, B. Battig, A. Bay, A. Beck, A. Becker, M. Bedeschi, F. Bediaga, I.B. Beiter, A. Belavin, V. Belin, S. Bellee, V. Belous, K. Belov, I. Belyaev, I. Bencivenni, G. Ben-Haim, E. Berezhnoy, A. Bernet, R. Berninghoff, D. Bernstein, H.C. Bertella, C. Bertolin, A. Betancourt, C. Betti, F. Bezshyiko, Ia. Bhasin, S. Bhom, J. Bian, L. Bieker, M.S. Biesuz, N.V. Bifani, S. Billoir, P. Biolchini, A. Birch, M. Bishop, F.C.R. Bitadze, A. Bjørn, M. Blago, M.P. Blake, T. Blanc, F. Blusk, S. Bobulska, D. Boelhauve, J.A. Garcia, O. Boente Boettcher, T. Boldyrev, A. Bondar, N. Borghi, S. Borsato, M. Borsuk, J.T. Bouchiba, S.A. Bowcock, T.J.V. Boyer, A. Bozzi, C. Bradley, M.J. Braun, S. Rodriguez, A. Brea Brodzicka, J. Gonzalo, A. Brossa Brundu, D. Buonaura, A. Buonincontri, L. Burke, A.T. Burr, C. Bursche, A. Butkevich, A. Butter, J.S. Buytaert, J. Byczynski, W. Cadeddu, S. Cai, H. Calabrese, R. Calefice, L. Cali, S. Calladine, R. Calvi, M. Gomez, M. Calvo Magalhaes, P. Camargo Campana, P. Perez, D.H. Campora Quezada, A.F. Campoverde Capelli, S. Capriotti, L. Carbone, A. Carboni, G. Cardinale, R. Cardini, A. Carli, I. Carniti, P. Carus, L. Vidal, A. Casais Caspary, R. Casse, G. Cattaneo, M. Cavallero, G. Cavallini, V. Celani, S. Cerasoli, J. Cervenkov, D. Chadwick, A.J. Rio de Janeiro Brazil Rio de Janeiro Brazil Center for High Energy Physics Tsinghua University Beijing China Beijing China School of Physics State Key Laboratory of Nuclear Physics and Technology Peking University Beijing China University of Chinese Academy of Sciences Beijing China Institute of Particle Physics Central China Normal University Hubei Wuhan China Université Savoie Mont Blanc CNRS IN2P3-LAPP Annecy France Université Clermont Auvergne CNRS/IN2P3 LPC Clermont-Ferrand France Aix Marseille Univ CNRS/IN2P3 CPPM Marseille France Université Paris-Saclay CNRS/IN2P3 IJCLab Orsay France Laboratoire Leprince-Ringuet CNRS/IN2P3 Ecole Polytechnique Institut Polytechnique de Paris Palaiseau France LPNHE Sorbonne Université Paris Diderot Sorbonne Paris Cité CNRS/IN2P3 Paris France I. Physikalisches Institut RWTH Aachen University Aachen Germany 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 INFN Sezione di Bari Bari Italy INFN Sezione di Bologna Bologna Italy INFN Sezione di Ferrara Ferrara Italy INFN Sezione di Firenze Firenze Italy INFN Laboratori Nazionali di Frascati Frascati Italy INFN Sezione di Genova Genova Italy INFN Sezione di Milano Milano Italy INFN Sezione di Milano-Bicocca Milano Italy INFN Sezione di Cagliari Monserrato Italy Università degli Studi di Padova Università e INFN Padova Italy INFN Sezione di Pisa Pisa Italy INFN Sezione di Roma La Sapienza Roma Italy INFN Sezione di Roma Tor Vergata Roma Italy Nikhef National Institute for Subatomic Physics Amsterdam Netherlands Nikhef National Institute for Subatomic Physics VU University Amsterdam Amsterdam Netherlands AGH - University of Science and Technology Faculty of Physics and Applied Computer Science Kraków Poland Henryk Niewodniczanski Institute of Nuclear Physics Polish
An amplitude analysis of Λ+c → pK−π+ decays together with a measurement of the Λ+c polarization vector in semileptonic beauty hadron decays is presented. A sample of 400 000 candidates is selected from proton-prot... 详细信息
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Prune the convolutional neural networks with sparse shrink
arXiv
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arXiv 2017年
作者: Li, Xin Liu, Changsong State Key Laboratory of Intelligent Technology and Systems Tsinghua National Laboratory for Information Science and Technology Department of Electronic Engineering Tsinghua University Beijing100084 China
Nowadays, it is still difficult to adapt Convolutional Neural Network (CNN) based models for deployment on embedded devices. The heavy computation and large memory footprint of CNN models become the main burden in rea... 详细信息
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Building a Chinese discourse topic corpus with a micro-topic scheme based on theme-rheme theory
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Big Data Analytics 2017年 第1期2卷 1-14页
作者: Xi, Xue-feng Zhou, Guodong Department of Computer Science and Technology Suzhou University of Science and Technology Suzhou China School of Computer Science and Technology Soochow University Suzhou China Virtual Reality Key Laboratory of Intelligent Interaction and Application Technology of Suzhou Suzhou China
How to build a suitable discourse topic structure is an important issue in discourse topic analysis, which is the core of natural language understanding. Not only is it the key basic unit to implement automatic comput...
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Extending driving vision based on image mosaic technique  13
Extending driving vision based on image mosaic technique
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13th Global Congress on Manufacturing and Management, GCMM 2016
作者: Chen, Deng Zhang, Yanduo Wei, Wei Li, Xiaolin Zhou, Huabing Zhu, Rui Lu, Tao Li, Xun Xu, Haijiao Peng, Li Hubei Provincial Key Laboratory of Intelligent Robot Wuhan Institute of Technology Wuhan China Department of Computer and Science Guangdong University of Education Guangzhou China Teaching Guidance Center Hubei Radio and TV University Wuhan China
Car cameras have been used extensively to assist driving by make driving visible. However, due to the limitation of the Angle of View (AoV), the dead zone still exists, which is a primary origin of car accidents. In t... 详细信息
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Overview of KAGRA : Data transfer and management
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Progress of Theoretical and Experimental Physics 2023年 第10期2023卷
作者: Akutsu, T Ando, M Arai, K Arai, Y Araki, S Araya, A Aritomi, N Asada, H Aso, Y Bae, S Bae, Y Baiotti, L Bajpai, R Barton, M A Cannon, K Cao, Z Capocasa, E Chan, M Chen, C Chen, K Chen, Y Chiang, C-Y Chu, H Chu, Y-K Eguchi, S Enomoto, Y Flaminio, R Fujii, Y Fujikawa, Y Fukunaga, M Fukushima, M Gao, D Ge, G Ha, S Hagiwara, A Haino, S Han, W-B Hasegawa, K Hattori, K Hayakawa, H Hayama, K Himemoto, Y Hiranuma, Y Hirata, N Hirose, E Hong, Z Hsieh, B Huang, G-Z Huang, H-Y Huang, P Huang, Y-C Huang, Y Hui, D C Y Ide, S Ikenoue, B Imam, S Inayoshi, K Inoue, Y Ioka, K Ito, K Itoh, Y Izumi, K Jeon, C Jin, H-B Jung, K Jung, P Kaihotsu, K Kajita, T Kakizaki, M Kamiizumi, M Kanda, N Kang, G Kawaguchi, K Kawai, N Kawasaki, T Kim, C Kim, J Kim, J C Kim, W S Kim, Y-M Kimura, N Kita, N Kitazawa, H Kobayashi, Y Kojima, Y Kokeyama, K Komori, K Kong, A K H Kotake, K Kozakai, C Kozu, R Kumar, R Kume, J Kuo, C Kuo, H-S Kuromiya, Y Kuroyanagi, S Kusayanagi, K Kwak, K Lee, H K Lee, H W Lee, R Leonardi, M Li, K L Lin, L C-C Lin, C-Y Lin, F-K Lin, F-L Lin, H L Liu, G C Luo, L-W Majorana, E Marchio, M Michimura, Y Mio, N Miyakawa, O Miyamoto, A Miyazaki, Y Miyo, K Miyoki, S Mori, Y Morisaki, S Moriwaki, Y Nagano, K Nagano, S Nakamura, K Nakano, H Nakano, M Nakashima, R Nakayama, Y Narikawa, T Naticchioni, L Negishi, R Quynh, L Nguyen Ni, W-T Nishizawa, A Nozaki, S Obuchi, Y Ogaki, W Oh, J J Oh, K Oh, S H Ohashi, M Ohashi, T Ohishi, N Ohkawa, M Ohta, H Okutani, Y Okutomi, K Oohara, K Ooi, C Oshino, S Otabe, S Pan, K Pang, H Parisi, A Park, J Arellano, F E Peña Pinto, I Sago, N Saito, S Saito, Y Sakai, K Sakai, Y Sakuno, Y Sasaki, Y Sato, S Sato, T Sawada, T Sekiguchi, T Sekiguchi, Y Shao, L Shibagaki, S Shimizu, R Shimoda, T Shimode, K Shinkai, H Shishido, T Shoda, A Somiya, K Son, E J Sotani, H Sugimoto, R Suresh, J Suzuki, T Tagoshi, H Takahashi, H Takahashi, R Takamori, A Takano, S Takeda, H Takeda, M Tanaka, H Tanaka, K Tanaka, T Tanioka, S Martin, E N Tapia San Telada, S Tomaru, T Tomigami, Y Tomura, T Travasso, F Trozzo, L Tsang, T Ts Gravitational Wave Science Project National Astronomical Observatory of Japan (NAOJ) 2-21-1 Osawa Mitaka City Tokyo 181-8588 Japan Advanced Technology Center National Astronomical Observatory of Japan (NAOJ) 2-21-1 Osawa Mitaka City Tokyo 181-8588 Japan Department of Physics The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo 113-0033 Japan Research Center for the Early Universe (RESCEU) The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo 113-0033 Japan Institute for Cosmic Ray Research (ICRR) KAGRA Observatory The University of Tokyo 5-1-5 Kashiwa-no-Ha Kashiwa City Chiba 277-8582 Japan Accelerator Laboratory High Energy Accelerator Research Organization (KEK) 1-1 Oho Tsukuba City Ibaraki 305-0801 Japan Earthquake Research Institute The University of Tokyo 1-1-1 Yayoi Bunkyo-ku Tokyo 113-0032 Japan Department of Mathematics and Physics Hirosaki University 3 Bunkyo-cho Hirosaki City Aomori 036-8561 Japan Kamioka Branch National Astronomical Observatory of Japan (NAOJ) 238 Higashi-Mozumi Kamioka-cho Hida City Gifu 506-1205 Japan The Graduate University for Advanced Studies (SOKENDAI) 2-21-1 Osawa Mitaka City Tokyo 181-8588 Japan Korea Institute of Science and Technology Information (KISTI) 245 Daehak-ro Yuseong-gu Daejeon 34141 Korea National Institute for Mathematical Sciences 70 Yuseong-daero 1689 Beon-gil Yuseong-gu Daejeon 34047 Korea International College Osaka University 1-1 Machikaneyama-cho Toyonaka City Osaka 560-0043 Japan School of High Energy Accelerator Science The Graduate University for Advanced Studies (SOKENDAI) 1-1 Oho Tsukuba City Ibaraki 305-0801 Japan Department of Astronomy Beijing Normal University No. 19 Xinjiekou Street Beijing 100875 China Department of Applied Physics Fukuoka University 8-19-1 Nanakuma Jonan Fukuoka City Fukuoka 814-0180 Japan Department of Physics Tamkang University No. 151 Yingzhuan Rd. Danshui Dist. New Taipei City 25137 Taiwan Department of Physics and Institute of Astronomy Nation
KAGRA is a newly built gravitational wave observatory, a laser interferometer with a 3 km arm length, located in Kamioka, Gifu prefecture, Japan. In this article, we describe the KAGRA data management system, i.e...
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Hemorrhagic fever with renal syndrome in China: Mechanisms on two distinct annual peaks and control measures
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International Journal of Biomathematics 2018年 第2期11卷 319-340页
作者: Li Li Cui-Hua Wang Shi-Fu Wang Ming-Tao Li Laith Yakob Bernard Cazelles Zhen Jin Wen-Yi Zhang School of Computer and Information Technology Shanxi University Taiyuan Shanxi 030006 P. R. China Science and Technology on Electronic Testand Measurement Laboratory North University of China Taiyuan 030051 P. R. China Shanxi Key Laboratory of Mathematical Techniques and Big Data Analysis on Disease Control and Prevention Shanxi University Taiyuan Shanxi 030006 P. R. China Complex Systems Research Center Shanxi University Taiyuan Shanxi 030006 P. R. China Department of Children's Medical LaboratoryDiagnosis Center Qilu Children's Hospital of Shandong University Jinan 250022 P. R. China Department of Disease ControlLondon School of Hygiene and Tropical Medicine London UK UMMISCO UMI 209 IRD- UPMC 93142 Bondy France Eco- Evolutionary MathematicsIBENS UMR 8197 ENS Paris France Institute of Disease Control and Prevention Academy of Military Medical Science Beijing 100071 P. R. China
Hemorrhagic fever with renal syndrome (HFRS) is a rodent-borne disease caused by several serotypes of hantavirus and 90% of all reported HFRS cases occur in China. However, the dynamics of such outbreak, particularl... 详细信息
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