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A Fuzzy Logic Based Decision Making System for Fusing Measurements From an E-Puffer and E-Sniffer Sensing Systems for Detecting Explosives

[+] Author Affiliations
Sanjeevi Chitikeshi, Ajay Mahajan, Tsuchin Chu, Jarlen Don

Southern Illinois University at Carbondale, Carbondale, IL

Paper No. IMECE2007-42922, pp. 659-666; 8 pages
doi:10.1115/IMECE2007-42922
From:
  • ASME 2007 International Mechanical Engineering Congress and Exposition
  • Volume 9: Mechanical Systems and Control, Parts A, B, and C
  • Seattle, Washington, USA, November 11–15, 2007
  • Conference Sponsors: ASME
  • ISBN: 0-7918-4303-3 | eISBN: 0-7918-3812-9
  • Copyright © 2007 by ASME

abstract

This is primarily a concept paper and describes a decision making system that fuses the output from cold plasma based E-Puffer and E-Sniffer sensing systems to reliably detect explosive traces. This paper describes research and development of a novel non-contact method to detect explosive bearing personnel, baggage and vehicles that is based on the integration of a multitude of key technologies, primarily cold/atmospheric plasma and pattern recognition/decision making capabilities. This work will ultimately lead to a viable system that can be installed in doorways of buildings, garages, baggage carousals, etc. that will trigger a positive response when detecting explosive traces on personnel, bags or vehicles going thru a doorway. This paper describes the basic product concept and provides preliminary results of the fusion process from a simulated data set of output measurements from the two orthogonal measurement systems.

Copyright © 2007 by ASME

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