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Space Invariant Independent Component Analysis and ENose for Detection of Selective Chemicals in an Unknown EnvironmentIn this paper, we present a space invariant architecture to enable the Independent Component Analysis (ICA) to solve chemical detection from two unknown mixing chemical sources. The two sets of unknown paired mixture sources are collected via JPL 16-ENose sensor array in the unknown environment with, at most, 12 samples data collected. Our space invariant architecture along with the maximum entropy information technique by Bell and Sejnowski and natural gradient descent by Amari has demonstrated that it is effective to separate the two mixing unknown chemical sources with unknown mixing levels to the array of two original sources under insufficient sampled data. From separated sources, they can be identified by projecting them on the 11 known chemical sources to find the best match for detection. We also present the results of our simulations. These simulations have shown that 100% correct detection could be achieved under the two cases: a) under-completed case where the number of input (mixtures) is larger than number of original chemical sources; and b) regular case where the number of input is as the same as the number of sources while the time invariant architecture approach may face the obstacles: overcomplete case, insufficient data and cumbersome architecture.
Document ID
20090004668
Acquisition Source
Jet Propulsion Laboratory
Document Type
Preprint (Draft being sent to journal)
External Source(s)
Authors
Duong, Tuan A.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Ryan, Margaret A.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Duong, Vu A.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Date Acquired
August 24, 2013
Publication Date
September 5, 2007
Publication Information
Publication: Journal of Advanced Computational Intelligence and Intelligent Informatics
Publisher: Fuji Technology Press Ltd.
Volume: 11
Issue: 10
Subject Category
Man/System Technology And Life Support
Distribution Limits
Public
Copyright
Other
Keywords
ENose
space invariant independent component analysis
chemical detection

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