Title of article :
Inheritance based Intelligent Technique Employing Nested-XOR with Recursion for Recognition and Classification of Odors using Multi-Sensor Nose System
Author/Authors :
Mahmoud Z. Iskandarani، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2011
Pages :
8
From page :
910
To page :
917
Abstract :
Problem statement: Odor originality and fraud is an important issue in todayʹs 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.
Keywords :
Odor sensor , odor discrimination , various mixtures , great deal , trace components , particular sample , Gas Sensors , specific category
Journal title :
American Journal of Applied Sciences
Serial Year :
2011
Journal title :
American Journal of Applied Sciences
Record number :
687938
Link To Document :
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