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物联网信息融合技术及存在的问题研究 被引量:1

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摘要 信息技术的飞速发展,促进了物联网技术的深入研究。为实现高效率的信息感知和处理,物联网自身的资源是有限的,需要依靠信息融合技术达到信息处理的目的。本文对物联网的信息融合技术进行介绍,对物理网信息融合技术的层次进行划分和分析,对其中存在的问题和缺点加以指出。
作者 张昆
出处 《科技传播》 2013年第22期226-226,225,共2页 Public Communication of Science & Technology
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  • 1[1]E.L.Waltz and J. Llinas, Multisensor Data Fusion[J].Artech Housed, Boston 1990
  • 2[2]P.K.Varshney, Distributed Detection and Data Fusion[J]. Springer Verlag, NEW YORK, 1997
  • 3[3]B.V. Dasarathy, Decision Fusion[J]. IEEE Computer Society Press,Los Alamitos, CA., 1994
  • 4[4]David L.Hall, Belur V. Dasaathy, X.Rong Li and Mohgi A. Abidi. Intermational Workshop on Information Fusion[J].2002
  • 5[5]D.L. Hall, Mathematical Techniques in Multisensor Data Fusion[J]. Artech House, Boston 1992
  • 6[6]I.R. Goodman, Ronald P. S. Mahler, and Hung T.Nguyen. Mathematics of data fusion[J]..Boston:Kluwer Academic Publishers, 1997
  • 7Zhang Tian,Ramakrishnan R,Livny M.Birch:A New Data Clustering Algorithm and Its Applications.Data Mining and Knowledge Discovery,1997,1(2):141-182.
  • 8MacQueen J.Some Methods for Classification and Analysis of Multivariate Observations//Proc of the 5th Berkeley Symposium on Mathematical Statistics and Probability.Berkeley,USA,1967,Ⅰ:281-297.
  • 9Ester M,Riegel H P,Sander J,et al.A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise//Proc of the 2nd International Conference on Knowledge Discovery and Data Mining.Portland,USA,1996:291-316.
  • 10Ding C,He Xiaofei.k-Nearest-Neighbor Consistency in Data Clustering:Incorporating Local Information into Global Optimization//Proc of the ACM Symposium on Applied Computing.Nicosia,Cy-prus,2004:584-589.

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