Research Article Open Access

Inheritance based Intelligent Technique Employing Nested-XOR with Recursion for Recognition and Classification of Odors using Multi-Sensor Nose System

Mahmoud Z. Iskandarani1
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American Journal of Applied Sciences
Volume 8 No. 9, 2011, 910-917

DOI: https://doi.org/10.3844/ajassp.2011.910.917

Submitted On: 21 June 2011 Published On: 2 August 2011

How to Cite: Iskandarani, M. Z. (2011). Inheritance based Intelligent Technique Employing Nested-XOR with Recursion for Recognition and Classification of Odors using Multi-Sensor Nose System. American Journal of Applied Sciences, 8(9), 910-917. https://doi.org/10.3844/ajassp.2011.910.917

Abstract

Problem statement: Odor originality and fraud is an important issue in today’s world. In addition knowing the original material that an odor belongs to even after being mixed with others is also of vital importance. In addition measuring quality of mixed odors in terms of their affinity and belonging to a specific category or is critical. Approach: Design, testing and analysis of multi-sensor odor system for the objectives of odor recognition, classification and correlation are carried out. Results: Various mixtures are tested and checked for originality through inheritance using the built multi-sensor electronic nose. The testing devices and interpretation using Nested-XOR based algorithm with recursion showed clearly some odors to be related to others or derived from the same source. Conclusion/Recommendations: Clear evidence of ability to trace components of an odor mixture and to determine its originality and quality.

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Keywords

  • Odor sensor
  • odor discrimination
  • trace components
  • specific category
  • various mixtures
  • gas sensors
  • great deal
  • particular sample