Accession Number : ADA503477


Title :   Event Detection Challenges, Methods, and Applications in Natural and Artificial Systems


Descriptive Note : Conference paper with briefing charts


Corporate Author : LOCKHEED MARTIN MS2 MOORESTOWN NJ


Personal Author(s) : Kerman, Mitchell C ; Jiang, Wei ; Blumberg, Alan F ; Buttrey, Samuel E


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a503477.pdf


Report Date : Mar 2009


Pagination or Media Count : 59


Abstract : A system is a combination of elements whose collaborative actions produce results generally not attainable by the elements acting alone, and an event is a significant occurrence or large-scale activity that is unusual relative to normal patterns of behavior. Event detection, or the process of identifying the occurrence of an event, within both natural and artificial (or manmade) systems has long been a topic of research, and a variety of techniques have been developed to address event detection problems. This article is a treatise on the topic of event detection and a prequel to research previously conducted by the authors regarding the application of robust metamodels to uncertainty quantification and event detection within a geophysical system. The article explores the most common difficulties and challenges in event detection problems, describes the event detection methods most frequently employed, and provides example event detection applications in both natural and artificial systems. It incorporates the discoveries of and lessons learned by multiple researchers and authors over many combined years of experience in event detection theory and application; this rather broad study has never been previously published within a single volume. The article concludes with an examination of the intimate relationship and indivisible link between event detection and modeling and simulation.


Descriptors :   *PATTERN RECOGNITION , *MODEL THEORY , SYMPOSIA , SCIENTIFIC LITERATURE , SCIENTIFIC RESEARCH , OPERATIONS RESEARCH , SYSTEMS ANALYSIS , METHODOLOGY , COMPUTERIZED SIMULATION


Subject Categories : Information Science
      Operations Research
      Cybernetics


Distribution Statement : APPROVED FOR PUBLIC RELEASE