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  • 标题:A Hadoop-enabled sensor-oriented information system for knowledge discovery about target-of-interest
  • 本地全文:下载
  • 作者:Liang, Yu ; Wu, Chao
  • 期刊名称:Facta universitatis - series: Electronics and Energetics
  • 印刷版ISSN:0353-3670
  • 电子版ISSN:2217-5997
  • 出版年度:2016
  • 卷号:29
  • 期号:3
  • 页码:437-450
  • DOI:10.2298/FUEE1603437L
  • 出版社:University of Niš
  • 摘要:To obtain a real-time situational awareness about the specific behavior of targets-of-interest using large-scale sensory data-set, this paper presents a generic sensor-oriented information system based on Hadoop Ecosystem, which is denoted as SOIS-Hadoop for simplicity. Robotic heterogeneous sensor nodes bound by wireless sensor network are used to track things-of-interest. Hadoop Ecosystem enables highly scalable and fault-tolerant acquisition, fusion and storage, retrieval, and processing of sensory data. In addition, SOIS-Hadoop employs temporally and spatially dependent mathematical model to formulate the expected behavior of targets-of-interest, based on which the observed behavior of targets can be analyzed and evaluated. Using two real-world sensor-oriented information processing and analysis problems as examples, the mechanism of SOIS-Hadoop is also presented and validated in detail.
  • 关键词:Sensor-oriented information system; Hadoop Ecosystem; target of interest; wireless sensor network; mathematical model
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