LINEAR DISCRIMINANT ANALYSIS BASED SENSING CHARACTERISTICS STUDY OF ZnO THICK FILM GAS SENSOR

SAROJ KUMAR LENKA¹*, AMBARISH G. MOHAPATRA²*
¹Dept. of Computer Science & Engineering, FET, MITS University, Lakshmangarh, Rajasthan
²Dept. of Applied Electronics and Instrumentation, Silicon Institute of Technology, Orissa, India
* Corresponding Author : ambarish.mohapatra@silicon.ac.in

Received : -     Accepted : -     Published : 30-12-2011
Volume : 3     Issue : 1       Pages : 31 - 36
Adv Comput Res 3.1 (2011):31-36

Keywords : Linear Discriminant Analysis (LDA); Engine ignition System; Zinc Oxide Thick film sensor; Driving under the influence (DUI); Virtual Instrumentation
Conflict of Interest : None declared
Acknowledgements/Funding : The authors thank Dr.P.K.Das, Dean FET, MITS University,Lakshmangarh,Rajasthan & Dr.R.N.Pal, Silicon Institute of Technology,Orissa,India.We also thank Prof. A.K.Tripathy, Silicon Institute of Technology, Orissa for his assistance in the research work

Driving under the influence (DUI) is a synonymous term that represents the criminal offense of operating a motor vehicle while being under the influence of alcohol. Semiconductor oxides such as SnO2, TiO2, and ZnO have been more successfully employed as sensing materials compare to organic semiconductors for the detection of ethanol gas concentration. This work investigates the fabrication and characterization of the thick-film gas sensor based on Zinc-oxide on an Alumina substrate. The sensor exhibits excellent ethanol sensing characteristics at temperatures between 175°C to 300°C and the characteristics of the sensor for different concentration of the ethanol gas has been successfully studied using Linear Discriminant Analysis (LDA). This system can be used to detect alcoholic driving for automotive safety applications. The system is designed to detect the exact concentration of ethanol gas using virtual instrumentation software and data acquisition hardware. This work presents the data analysis results of 230 samples of each concentration levels of ethanol gas using Linear Discriminant Analysis (LDA) technique. The overall system can be tested with the engine ignition system for automotive safety and warning applications in the prevention of a crash during drunken driving.

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