FIP: A Pattern Recognition Program for Fuel Spill Identification.

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.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1996
Accession Number
ADA317141

Entities

People

  • A. Faruque
  • B. K. Lavine
  • H. T. Mayfield

Organizations

  • Armstrong Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Computer Programming
  • Computer Programs
  • Data Analysis
  • Data Sets
  • Databases
  • Fuels
  • Graphical User Interface
  • Identification
  • Information Science
  • Jet Engine Fuels
  • Neural Networks
  • Operating Systems
  • Pattern Recognition
  • Recognition
  • Two Dimensional
  • User Interface

Fields of Study

  • Computer science

Readers

  • Database Systems and Applications
  • Marine Ecotoxicology
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML