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Proceedings Paper

Data models as a general fast framework for converting simulations at all scales into fast real-time approximations
Author(s): Holger Jaenisch; James Handley
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Paper Abstract

Data Modeling is a process that can convert non-real-time algorithms into functional approximations that can be executed in near real-time as platform independent mathematical equations or information transfer functions. These functional approximations are converted into a form amenable for streaming real-time execution by being converted into pre-calculated look-up table (LUT) form. We present the technique and relevant theory and demonstrate how this method can be applied to high level interactions, system level modeling and component modeling using a common framework. An important benefit of our technique is the ability to predict anomalous parameters from our models.

Paper Details

Date Published: 4 May 2012
PDF: 38 pages
Proc. SPIE 8403, Modeling and Simulation for Defense Systems and Applications VII, 84030F (4 May 2012); doi: 10.1117/12.915182
Show Author Affiliations
Holger Jaenisch, Johns Hopkins Univ. (United States)
Licht Strahl Engineering INC (United States)
James Handley, Licht Strahl Engineering INC (United States)

Published in SPIE Proceedings Vol. 8403:
Modeling and Simulation for Defense Systems and Applications VII
Eric J. Kelmelis, Editor(s)

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