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检索条件"机构=Data Science and Computer Applications"
750 条 记 录,以下是651-660 订阅
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Real-Time Fine-Grained Air Quality Sensing Networks in Smart City: Design, Implementation and Optimization
arXiv
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arXiv 2018年
作者: Hu, Zhiwen Bai, Zixuan Bian, Kaigui Wang, Tao Song, Lingyang National Engineering Laboratory for Big Data Analysis and Applications School of Electronics Engineering and Computer Science Peking University Beijing China State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Engineering and Computer Science Peking University Beijing China
—Driven by the increasingly serious air pollution problem, the monitoring of air quality has gained much attention in both theoretical studies and practical implementations. In this paper, we present the architecture... 详细信息
来源: 评论
MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock data Challenge
arXiv
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arXiv 2022年
作者: Schäfer, Marlin Benedikt Zelenka, Ondřej Nitz, Alexander H. Wang, He Wu, Shichao Guo, Zong-Kuan Cao, Zhoujian Ren, Zhixiang Nousi, Paraskevi Stergioulas, Nikolaos Iosif, Panagiotis Koloniari, Alexandra E. Tefas, Anastasios Passalis, Nikolaos Salemi, Francesco Vedovato, Gabriele Klimenko, Sergey Mishra, Tanmaya Brügmann, Bernd Cuoco, Elena Huerta, E.A. Messenger, Chris Ohme, Frank Max-Planck-Institut für Gravitationsphysik Albert-Einstein-Institut HannoverD-30167 Germany Leibniz Universität Hannover HannoverD-30167 Germany Friedrich-Schiller-Universität Jena JenaD-07743 Germany Michael Stifel Center Jena JenaD-07743 Germany CAS Key Laboratory of Theoretical Physics Institute of Theoretical Physics Chinese Academy of Sciences Beijing100190 China Department of Astronomy Beijing Normal University Beijing100875 China Peng Cheng Laboratory Shenzhen518055 China Department of Informatics Aristotle University of Thessaloniki ThessalonikiGR-54124 Greece Department of Physics Aristotle University of Thessaloniki ThessalonikiGR-54124 Greece GSI Helmholtz Center for Heavy Ion Research Planckstraße 1 Darmstadt64291 Germany Università di Trento Dipartimento di Fisica Povo TrentoI-38123 Italy INFN Trento Institute for Fundamental Physics and Applications Povo TrentoI-38123 Italy INFN Sezione di Padova PadovaI-35131 Italy Department of Physics University of Florida PO Box 118440 GainesvilleFL32611-8440 United States Cascina PisaI-56021 Italy Scuola Normale Superiore Piazza dei Cavalieri 7 PisaI-56126 Italy INFN Sezione di Pisa Largo Bruno Pontecorvo 3 PisaI-56127 Italy Data Science and Learning Division Argonne National Laboratory LemontIL60439 United States Department of Computer Science University of Chicago ChicagoIL60637 United States SUPA School of Physics and Astronomy University of Glasgow GlasgowG12 8QQ United Kingdom
We present the results of the first Machine Learning Gravitational-Wave Search Mock data Challenge (MLGWSC-1). For this challenge, participating groups had to identify gravitational-wave signals from binary black hole... 详细信息
来源: 评论
Partial, composite fractional operators, and their properties and applications  3
Partial, composite fractional operators, and their propertie...
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3rd International Conference on Mechanical, Electronic and Information Technology Engineering, ICMITE 2017
作者: Deng, Kaiying Deng, Jingwei Li, Suduo College of Mathematics and Computer Science Northwest Minzu University Lanzhou730124 China Key Lab of Streaming Data Computing Technologies and Applications Lanzhou730030 China
The paper discusses the properties of the partial fractional integrals, the partial fractional derivatives, and the composite fractional integrals and derivatives. Some basic formulas are derived;and the relations bet... 详细信息
来源: 评论
Developments and applications of data Deidentification Technology under Big data
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Journal of Electronic science and Technology 2017年 第3期15卷 231-239页
作者: Hung-Li Chen Yao-Tung Tsou Bo-Chen Tai Szu-Chuang Li Yen-Nun Huang Chia-Mu Yu Yu-Shian Chiu Department of Communications Engineering Feng Chia University Taichung 400 Research Center for Information Technology Innovation Academia Sinica Taipei 100 Department of Computer Science and Engineering National Chung Hsing University Data Analytics Technology &Applications Institute for Information Industry Taipei 100
In this age characterized by rapid growth in the volume of data,data deidentification technologies have become crucial in facilitating the analysis of sensitive *** instance,healthcare information must be processed th... 详细信息
来源: 评论
Perspectives for self-driving labs in synthetic biology
arXiv
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arXiv 2022年
作者: Martin, Hector Garcia Radivojevic, Tijana Zucker, Jeremy Bouchard, Kristofer Sustarich, Jess Peisert, Sean Arnold, Dan Hillson, Nathan Babnigg, Gyorgy Marti, Jose Manuel Mungall, Christopher J. Beckham, Gregg T. Waldburger, Lucas Carothers, James Sundaram, ShivShankar Agarwal, Deb Simmons, Blake A. Backman, Tyler Banerjee, Deepanwita Tanjore, Deepti Ramakrishnan, Lavanya Singh, Anup Lawrence Berkeley National Laboratory Biological Systems and Engineering Division BerkeleyCA United States Department of Energy Agile BioFoundry EmeryvilleCA United States Joint BioEnergy Institute EmeryvilleCA United States BCAM Basque Center for Applied Mathematics Bilbao Spain Lawrence Berkeley National Laboratory Scientific Data Division BerkeleyCA United States Helen Wills Neuroscience Institute Redwood Center for Theoretical Neuroscience BerkeleyCA United States Lawrence Berkeley National Laboratory Energy Storage and Distributed Resources Division BerkeleyCA United States University of California Davis Department of Computer Science DavisCA United States Global Security Computing Applications Division Lawrence Livermore National Laboratory LivermoreCA United States Engineering Directorate Lawrence Livermore National Laboratory LivermoreCA United States Center for Bioengineering Lawrence Livermore National Laboratory LivermoreCA United States Department of Chemical Engineering Molecular Engineering & Sciences Institute Center for Synthetic Biology University of Washington SeattleWA United States Biosciences Division Argonne National Laboratory ArgonneIL United States Advanced Biofuels and Bioproducts Process Development Unit Lawrence Berkeley National Laboratory BerkeleyCA United States Biomaterials and Biomanufacturing Division Sandia National Laboratories LivermoreCA United States Earth and Biological Sciences Division Pacific Northwest National Laboratories RichlandWA United States Resources and Enabling Sciences Center National Renewable Energy Laboratory GoldenCO80401 United States Department of Bioengineering University of California BerkeleyCA United States
Self-driving labs (SDLs) combine fully automated experiments with artificial intelligence (AI) that decides the next set of experiments. Taken to their ultimate expression, SDLs could usher a new paradigm of scientifi... 详细信息
来源: 评论
A new verifier-based anonymous password-authenticated key exchange protocol
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Journal of Information Hiding and Multimedia Signal Processing 2018年 第6期9卷 1595-1602页
作者: Chen, Chien-Ming Wang, Guangjie Fang, Weicheng Wu, Tsu-Yang School of Computer Science and Technology Harbin Institute of Technology Shenzhen Graduate School Shenzhen China College of Computer Science and Engineering Shandong University of Technology Shandong China Fujian Provincial Key Laboratory of Big Data Mining and Applications Fujian University of Technology Fuzhou China National Demonstration Center for Experimental Electronic Information and Electrical Technology Education Fujian University of Technology Fuzhou China
In the information age, privacy have aroused wide concern. User identity can be tracked in a public network if it is not stored or transmitted in a secure way. To enhance the security, many anonymous password authenti... 详细信息
来源: 评论
Hierarchical routing strategy for wireless sensor network
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Journal of Information Hiding and Multimedia Signal Processing 2018年 第1期9卷 256-264页
作者: Pan, Jeng-Shyang Kong, Ling Ping Sung, Tien-Wen Chu, Shu-Chuan Roddick, John F. Fujian Provincial Key Laboratory of Big Data Mining and Applications College of Information Science and Engineering Fujian University of Technology Fujian China Innovative Information Industry Research Center Harbin Institute of Technology Shenzhen Graduate School Shenzhen China Chaoyang University of Technology Taichung Taiwan School of Computer Science Engineering and Mathematics Flinders University Australia
Wireless sensor networks (WSNs) are designed for a large scale monitoring applications such as military surveillance, medical treatment, environmental monitoring and industry management. In this network, usually hundr... 详细信息
来源: 评论
Special issue on 2016 International Conference on Intelligence science and Big data Engineering
Special issue on 2016 International Conference on Intelligen...
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作者: Zheng, Wei-Shi Gao, Xinbo Li, Yuanqing Lai, Jianhuang School of Data and Computer Science Sun Yat-sen University China State Key Laboratory of Integrated Services Networks School of Electronic Engineering Xidian University Xi'an710071 China School of Automation Science and Engineering South China University of Technology China Guangzhou Key Laboratory of Brain Computer Interface and Applications Guangzhou 510640 China School of Data and Computer Science Sun Yat-sen University Guangzhou510275 China
来源: 评论
FPGA demonstration for WLAN-OFDM baseband receiver
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Journal of Information Hiding and Multimedia Signal Processing 2018年 第5期9卷 1281-1292页
作者: Wu, Chih-Feng Shiue, Muh-Tian Sung, Tien-Wen Pan, Jeng-Shyang School of Information Science and Engineering Fujian University of Technology Fuzhou350118 China Department of Electrical Engineering National Central University Taoyuan32001 Taiwan College of Computer Science and Engineering Shandong University of Science and Technology Qingdao266590 China Fujian Provincial Key Laboratory of Big Data Mining and Applications Fujian China Department of Information Management Chaoyang University of Technology Taichung41349 Taiwan
The FPGA demonstration for WLAN-OFDM baseband receiver is presented in this paper. In this OFDM baseband receiver, the CORDIC computing is employed to realize various arithmetics of baseband signal process and then to... 详细信息
来源: 评论
Mean-field theory for the Nagel-Schreckenberg model with overtaking strategy
arXiv
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arXiv 2018年
作者: Su, Zhu Deng, Weibing Han, Jihui Li, Wei Cai, Xu National Engineering Laboratory for Technology of Big Data Applications in Education Central China Normal University Wuhan Complexity Science Center Institute of Particle Physics Central China Normal University Wuhan School of Computer and Communication Engineering Zhengzhou University of Light Industry Zhengzhou China
Based on the Nagel-Schreckenberg (NS) model with periodic boundary conditions, a modified model considered overtaking strategy (NSOS) has been proposed [1, 2]. In this paper, we focus on the theoretical analysis of tr... 详细信息
来源: 评论