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Proceedings Paper

Enabling unattended data logging and publication by data model change detection and environmental awareness
Author(s): Holger M. Jaenisch
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Paper Abstract

This paper presents a novel self-initializing algorithm using Change Detection to achieve self-awareness of unusual conditions without a prior modeling assumptions. Deviations from baseline nominal conditions yield a tip-off and the variation off baseline indicates a novelty to be logged for publication. Incremental processing of the data log enables common transients to be ignored and viewed as nominal. In this framework, only second pass novelties invoke enough interest for publication. The mathematical methods for enabling this exploit both classical control theory transfer functions to model the environment and O(3n) Volterra series type polynomials as an innovative change detection method without explicit modeling.

Paper Details

Date Published: 2 May 2006
PDF: 11 pages
Proc. SPIE 6231, Unattended Ground, Sea, and Air Sensor Technologies and Applications VIII, 62310R (2 May 2006); doi: 10.1117/12.666471
Show Author Affiliations
Holger M. Jaenisch, James Cook Univ. (Australia)


Published in SPIE Proceedings Vol. 6231:
Unattended Ground, Sea, and Air Sensor Technologies and Applications VIII
Edward M. Carapezza, Editor(s)

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