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Proceedings Paper

Systematic profile/feature-based intelligence for spectral sensors
Author(s): Michael C. Vogt
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Paper Abstract

12 Argonne National Laboratory has been creating a special- purpose software-engineering tool to support research and development of spectrum-output-type [chemical] sensors. The modular software system is called SAGE, the Sensor Algorithm Generation Environment and includes general- purpose signal conditioning algorithms (GP/SAGE) as well as intelligent classifiers, pattern recognizers, response accelerators, and sensitivity analyzers. GP/SAGE is an implementation of an approach for delivering a level of encapsulated intelligence to a wide range of sensors and instruments. It capitalizes on the generic classification and analysis needed to process most profile-type data. The GP/SAGe native data format is a generalized 1D vector, signature, or spectrum. GP/SAGE modules form a computer- aided software engineering `workbench' where users can experiment with various conditioning, filtering, and pattern recognition stages, then automatically generate final algorithm source code for data acquisition and analysis systems.

Paper Details

Date Published: 13 February 2001
PDF: 9 pages
Proc. SPIE 4201, Optical Methods for Industrial Processes, (13 February 2001); doi: 10.1117/12.417394
Show Author Affiliations
Michael C. Vogt, Argonne National Lab. (United States)

Published in SPIE Proceedings Vol. 4201:
Optical Methods for Industrial Processes
Stuart Farquharson, Editor(s)

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