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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
ASME 2007 International Mechanical Engineering Congress and Exposition
  • Sanjeevi Chitikeshi
  • Ajay Mohan Mahajan, University of Akron, main campus
  • Tsuchin Philip Chu
  • Jarlen Don
Document Type
Conference Proceeding
Publication Date
11-1-2007
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.

Citation Information
Sanjeevi Chitikeshi, Ajay Mohan Mahajan, Tsuchin Philip Chu and Jarlen Don. "A Fuzzy Logic Based Decision Making System for Fusing Measurements From an E-Puffer and E-Sniffer Sensing Systems for Detecting Explosives" ASME 2007 International Mechanical Engineering Congress and Exposition Vol. 9 (2007) p. 659 - 666
Available at: http://works.bepress.com/ajay_mahajan/26/