An Agent-Based Approach for Data Fusion in Homeland Security

Author
Keywords
Abstract
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 process such amounts of 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 focused on obtaining a Multi-agent system able to inference future enemy’s actions or behaviors from data received from heterogeneous sensors.
Year of Publication
2013
Journal
International Journal of Interactive Multimedia and Artificial Intelligence
Volume
2
Issue
Special Issue on Improvements in Information Systems and Technologies
Number
3
Number of Pages
44-49
Date Published
09/2013
ISSN Number
1989-1660
Citation Key
URL
http://www.ijimai.org/journal/sites/default/files/files/2013/07/ijimai2013_3_6_pdf_21581.pdf
DOI
10.9781/ijimai.2013.236
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