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Content Provider | IEEE Xplore Digital Library |
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Author | Yuning Yang Mason, A.J. |
Copyright Year | 2012 |
Description | Author affiliation: Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA (Yuning Yang; Mason, A.J.) |
Abstract | Accurate recognition of air pollutants and estimation of their concentrations are critical for human health and safety monitoring and can be achieved using gas sensor arrays. In this paper, an efficient method based on a homotopy algorithm is presented for the analysis of sensor arrays responding to binary mixtures. The new method models the responses of a gas sensor array as a system of nonlinear equations and provides a globally convergent way to find the solution of the system. Real data measurement for $CH_{4}$ and $SO_{2}$ are used to model sensor responses. The model is applied to the method for prediction and it shows the prediction results are within 1% variation of true values for both gas models. |
Sponsorship | IEEE Eng. Medicine Biol. Soc. |
Starting Page | 4221 |
Ending Page | 4224 |
File Size | 758526 |
Page Count | 4 |
File Format | |
ISBN | 9781424441198 |
ISSN | 1557170X |
e-ISBN | 9781457717871 |
DOI | 10.1109/EMBC.2012.6346898 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2012-08-28 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Gases Sensor arrays Gas detectors Estimation Signal processing algorithms Mathematical model Air pollution |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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