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检索条件"机构=College of Measure and Control Technology and Communication Engineering"
738 条 记 录,以下是421-430 订阅
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Light Scattering Technique to Detect the Temperature of the Milk Proteins control Design
Light Scattering Technique to Detect the Temperature of the ...
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International Conference on Instrumentation, measurement, Computer, communication and control (IMCCC)
作者: Lifeng Liu Zhen Zhou Zehong Lv Dixing Li College of Measure-Control Technology and Communication Engineering Harbin University of Science and Technology Harbin China
The use of light scattering techniques can be achieved for the detection of the protein ontent of milk, but there are many factors that affect the test results in the detection process. One of the important factors ef... 详细信息
来源: 评论
Research on the Prediction Model of Coal and Gas Outburst Based on Principal Component Analysis and Radial Basis Function Neural Network
Research on the Prediction Model of Coal and Gas Outburst Ba...
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International Conference on Instrumentation, measurement, Computer, communication and control (IMCCC)
作者: Yongchao Guan Shuai Wang Zhen Zhou College of Measure-Control Technology and Communication Engineering Harbin University of Science and Technology Harbin China
To improve the accuracy and efficiency of coal and gas outburst prediction, the principal component analysis was combined with radial basis function neural network for the prediction of the situation of coal and gas o... 详细信息
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A dual-band low noise amplifier
A dual-band low noise amplifier
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2014 International Conference on communication technology and Application, CTA 2014
作者: Zhang, Z. Li, Z.H. Zhang, W.R. Zhao, F.Y. Chen, C.L. Liu, B.Y. School of Information and Communication Engineering Beijing Information Science and Technology University China College of Electronic Information and Control Engineering Beijing University of Technology China
A dual-band low noise amplifier (DBLNA), which can operate at 2.4 GHz and 5.8 GHz, is designed and realized. Infineon BFP740 SiGe HBTs are chose as active device, the cascode structure with high isolation and wider ba... 详细信息
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Facet-based trend modeling for cold start of recommendation in social media
Facet-based trend modeling for cold start of recommendation ...
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2014 IEEE International Conference on Orange Technologies, ICOT 2014
作者: Chen, Chen Chunyan, Hou Xiaojie, Yuan College of Computer and Control Engineering Nankai Univeristy Tianjin China School of Computer and Communication Engineering Tianjin University of Technology Tianjin China
Recommendation systems have been widely used in social media. One of recommendation tasks in social media is to provide relevant messages for users. Although many models have been proposed, how to make accurate recomm... 详细信息
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Design of a wireless monitoring network for granary temperature and humidity based on Zigbee
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International Journal of u- and e- Service, Science and technology 2014年 第2期7卷 77-82页
作者: Dong, Jingwei Li, Huile Liu, Yuan Guo, Yanwen Tang, Guanhua School of Measure-Control Technology and Communication Engineering Harbin University of Science and Technology Harbin China
The granary monitoring systems in used in China are mostly based on wired networks such as RS-485 serial bus, CAN fieldbus, etc. Inevitably these monitoring systems have drawbacks of high installation cost, high failu... 详细信息
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Light scattering by globules in an absorbing medium
Light scattering by globules in an absorbing medium
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International Forum on Strategic technology, IFOST
作者: Juan Wu Zhen Zhou Guochao Ding Huiying Liu College of Measure-Control Technology and Communication Engineering Harbin University of Science and Technology Harbin China Heilongjiang Electric Power Research Institute Harbin China
The conventional Mie-scattering calculation has been widely used for spherical particles existed in a vacuum and homogeneous nonabsorbing medium. The paper investigates the radiative properties of particles existed in...
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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Antwerp, Belgium. 15-20 July 2017 Abstracts
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BMC NEUROSCIENCE 2017年 第SUPPL 1期18卷 95-176页
作者: [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ
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Mixed NMF blind source separation algorithm
Mixed NMF blind source separation algorithm
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2nd International Conference on Mechatronics and Industrial Informatics, ICMII 2014
作者: Zhao, Zhi Jin Liu, Zhong Jian College of Communication Engineering Hangzhou Dianzi University Hangzhou 310018 China State Key Lab of Information Control Technology Corporation Jiaxing 314410 China
The rank one NMF blind source separation algorithm (NMF-R1) was obtained by imposing the sparsity constraint on the fast NMF algorithm based rank one. NMF blind source separation algorithm based on least squares (NMF-... 详细信息
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26th Annual Computational Neuroscience Meeting (CNS*2017) of the Organization for Computational Neuroscience Antwerp, Belgium, July 15-20, 2017
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BMC NEUROSCIENCE 2017年 第SUPPL 1期18卷 59-59页
作者: [Anonymous] Indiana University Purdue University Indianapolis Indianapolis IN 46032 USA Stark Neurosciences Research Institute Indiana University School of Medicine Indianapolis IN 46032 USA Department of Mathematics East Carolina University Greenville NC 27858 USA Jülich Supercomputing Centre Forschungszentrum Jülich 52425 Jülich Germany Future Systems Swiss National Supercomputing Centre 8092 Zurich Switzerland User Engagement and Support Swiss National Supercomputing Centre 6900 Lugano Switzerland Institut de Neurosciences des Systèmes Aix Marseille Univ 13005 Marseille France Simulation Lab Neuroscience Forschungszentrum Jülich Jülich Germany Department of Experimental Psychology Ghent University 9000 Ghent Belgium Donders Center for Cognitive Neuroimaging Radboud University 6525HR Nijmegen The Netherlands Department of Electrical Computer and Energy Engineering University of Colorado Boulder CO 80309 USA Department of Neurosurgery Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Neurology Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Otolaryngology Johns Hopkins School of Medicine Baltimore MD 21287 USA INSERM U968 Paris France Sorbonne Universités UPMC University Paris 06 UMR_S 968 Institut de la Vision Paris France CNRS UMR_7210 Paris France Department of Computer Architecture and Technology University of Granada (CITIC) Granada Spain Sorbonne Universités UPMC Univ Paris 06 INSERM CNRS Institut de la Vision Paris France Department of Adaptive Machine Systems Osaka University Osaka Japan Department of Computer Science University of Cergy-Pontoise Cergy-Pontoise France Department of Physics and Astronomy College of Charleston Charleston SC 29424 USA School of Physics Faculty of Science University of Sydney Sydney NSW 2006 Australia Center of Excellence for Integrative Brain Function Australian Research Council Sydney Australia Max Planck Institute for Human Cognitive and Brain Sciences Saxony Lei
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Markov fuzzy based mac protocol for life time maximization of wireless sensor network
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International Journal of Computers and Applications 2014年 第4期36卷 133-139页
作者: Venkataramanan, Chakrapani Girirajkumar, Selvaraj M. Department of Electronics and Communication Engineering Kurinji College Engineering and Technology India Department of Instrumentation and Control Engineering Saranathan College of Engineering India
This paper jointly investigates the problem of duty cycle adjustment and the slot allocation in the time division multiple access (TDMA)- based wireless sensor network systems. In this proposed Markov Fuzzy Medium Acc... 详细信息
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