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http://dx.doi.org/10.5369/JSST.2015.24.4.258

A Step-wise Elimination Method Based on Euclidean Distance for Performance Optimization Regarding to Chemical Sensor Array  

Lim, Hea-Jin (Division of Electronics, Information & Communication Engineering, Kangwon National University)
Choi, Jang-Sik (Division of Electronics, Information & Communication Engineering, Kangwon National University)
Jeon, Jin-Young (Division of Electronics, Information & Communication Engineering, Kangwon National University)
Byu, Hyung-Gi (Division of Electronics, Information & Communication Engineering, Kangwon National University)
Publication Information
Journal of Sensor Science and Technology / v.24, no.4, 2015 , pp. 258-263 More about this Journal
Abstract
In order to prevent drink-driving by detecting concentration of alcohol from driver's exhale breath, twenty chemical sensors fabricated. The one of purposes for sensor array which consists of those sensors is to discriminate between target gas(alcohol) and interference gases($CH_3CH_2OH$, CO, NOx, Toluene, and Xylene). Wilks's lambda was presented to achieve above purpose and optimal sensors were selected using the method. In this paper, step-wise sensor elimination based on Euclidean distance was investigated for selecting optimal sensors and compared with a result of Wilks's lambda method. The selectivity and sensitivity of sensor array were used for comparing performance of sensor array as a result of two methods. The data acquired from selected sensor were analyzed by pattern analysis methods, principal component analysis and Sammon's mapping to analyze cluster tendency in the low space (2D). The sensor array by stepwise sensor elimination method had a better sensitivity and selectivity compared to a result of Wilks's lambda method.
Keywords
Step-wise sensor elimination; Array optimization; Wilks's lambda;
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Times Cited By KSCI : 3  (Citation Analysis)
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