Data models as a general fast framework for converting simulations at all scales into fast real-time approximations

Holger Jaenisch; James Handley

doi:10.1117/12.915182

4 May 2012 Data models as a general fast framework for converting simulations at all scales into fast real-time approximations

Holger Jaenisch, James Handley

Author Affiliations +

Proceedings Volume 8403, Modeling and Simulation for Defense Systems and Applications VII; 84030F (2012) https://doi.org/10.1117/12.915182
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

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.

Citation Download Citation

Holger Jaenisch and James Handley "Data models as a general fast framework for converting simulations at all scales into fast real-time approximations", Proc. SPIE 8403, Modeling and Simulation for Defense Systems and Applications VII, 84030F (4 May 2012); https://doi.org/10.1117/12.915182

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