Detection Algorithms for the nano nose
Document Type
Conference Proceeding
Publication Date
2008
Publication Title
19th International Conference on Systems Engineering, 2008, ICSENG
Publisher
IEEE
First page number:
399
Last page number:
404
Abstract
The nano nose is an instrument with an array of nano sized optical sensors that produces digital patterns when exposed to radiation passing through a gaseous mixture. This paper outlines an algorithm using a combination of neural networks and partial least squares (PLS) regression, Kalman filter capable of processing these digital patterns and generate an output. This output would not only show the detection of the individual constituents in the gaseous mixture but also the prediction of their concentrations. The developed algorithm in the experiments conducted, has performed detection and prediction of quite low concentrations of constituent gases successfully with a prediction error of less than 10% in the presence of noise.
Keywords
Gas detectors; Neural networks (Computer science); Optical detectors; Sensor networks
Disciplines
Other Computer Engineering | Other Electrical and Computer Engineering
Language
English
Permissions
Use Find in Your Library, contact the author, or interlibrary loan to garner a copy of the item. Publisher policy does not allow archiving the final published version. If a post-print (author's peer-reviewed manuscript) is allowed and available, or publisher policy changes, the item will be deposited
Repository Citation
Udayagiri V. R., J.,
Moazzeni, T.,
Jiang, Y.,
Das, B.
(2008).
Detection Algorithms for the nano nose.
19th International Conference on Systems Engineering, 2008, ICSENG
399-404.
IEEE.