Accession Number : ADA317141

Title :   FIP: A Pattern Recognition Program for Fuel Spill Identification.

Descriptive Note : Final technical rept. Aug 93-Aug 95,

Corporate Author : ARMSTRONG LAB TYNDALL AFB FL ENVIRONICS DIRECTORATE

Personal Author(s) : Faruque, A. ; Lavine, B. K. ; Mayfield, H. T.

PDF Url : ADA317141

Report Date : MAY 1996

Pagination or Media Count : 35

Abstract : Gas Chromatography and pattern recognition methods (GC-PR) constitute a powerful tool for investigating complex environmental problems e.g., realistically analyze large chromatographic data sets and to seek meaningful relationships between chemical constitution and source variables. Recently, out laboratory has investigated the potential of GC-PR as a method for typing fields in order to directly relate a spill sample to its source. A graphic user interface (GUl) based interactive software called FIP (fuel identification program) has been developed. The development of this software system takes advantage of the high performance computational and visualization routines of the MATLAB programming environment. Both neural networks and statistical pattern recognition techniques are implemented. FIP employs covariance stabilization of the data to ensure correct classification of the gas chromatograms of weathered and unweathered jet fuels.

Descriptors :   *COMPUTER PROGRAMS, *COMPUTER GRAPHICS, *PATTERN RECOGNITION, *GAS CHROMATOGRAPHY, SOURCES, NEURAL NETS, ENVIRONMENTS, INTERACTIONS, INTERFACES, VARIABLES, IDENTIFICATION, FUELS, GRAPHICS, USER NEEDS, STATISTICAL PROCESSES, SPILLING, CHROMATOGRAPHS.

Subject Categories : Physical Chemistry
      Cybernetics

Distribution Statement : APPROVED FOR PUBLIC RELEASE