Event detection challenges, methods, and applications in natural and artificial systems
Kerman, Mitchell C.
Blumberg, Alan F.
Buttrey, Samuel E
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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 man-made) 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.
RightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
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