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  • 标题:An Agent-Based Approach for Data Fusion in Homeland Security
  • 本地全文:下载
  • 作者:Castillo JM ; Solis-Montes R.
  • 期刊名称:International Journal of Interactive Multimedia and Artificial Intelligence
  • 印刷版ISSN:1989-1660
  • 出版年度:2013
  • 卷号:2
  • 期号:3
  • 页码:44-9
  • 出版社:ImaI-Software
  • 摘要:This article presents an agent-based solution for data fusion in Homeland Security. Communication technology has been developed very fast in the last decades. We can get lots of data in milliseconds. Our current problem is to processsuch amountsof data in order to provide useful information. We have to focus our effort on developing intelligent information systems able to handle big amounts of data extracting or revealing relations among data and able to produce information easily understandable for the human user. That is the case of data fusion in tactical operations, especially in the field of defense and Homeland security. Our research is focusedon obtaining a Multi-agent system able to inference future enemy's actions or behaviors from data received from heterogeneous sensors
  • 关键词:MAS; Data fusion; tracks; merge; inference; ;Homeland Security
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