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

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.

A novel Approach to System Security using Derived Odor Keys with Weight Elimination Neural Algorithm (DOK-WENA)

“…For the system to only accepts the correct odor key, which is also encrypted within the signal readings as the main, master odor key is not emulated in an opening key but the opening odorant key is derived from the master key composition, and hence, the output readings for any odorant key will not be equal to the original master key. This is a new way of hiding the key [16][17][18][19][20].…”