A Data Mining Framework For Monitoring Nuclear Facilities

被引:4
|
作者
Vatsavai, Ranga Raju [1 ]
机构
[1] Oak Ridge Natl Lab, Oak Ridge, TN USA
来源
12TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS (ICDMW 2012) | 2012年
关键词
D O I
10.1109/ICDMW.2012.77
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Nuclear proliferation is a major national security concern for many countries, especially to the United States. With more understanding and availability of nuclear technologies, and increasing persuasion of nuclear technologies by several new countries, it is increasingly becoming important to monitor the nuclear proliferation activities. For the past three years, we have been developing data mining algorithms to semantically annotate nuclear facilities and identify changes in man made structures using very high resolution images. In this paper, we summarize the recent progress and allude the audience to new opportunities.
引用
收藏
页码:917 / 917
页数:1
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