bullet Sensors & Transducers Journal

    (ISSN 1726- 5479)

205.767

2008 e-Impact Factor

25 Top Downloaded Articles

Journal Subscription 2011

Editorial Calendar 2011

Submit an Article

Editorial Board

Current Issue

Sensors & Transducers journal's cover

Sensors & Transducers Journal 2010

Sensors & Transducers Journal 2009

Sensors & Transducers Journal 2008

Sensors & Transducers Journal 2007

2000-2002 S&T e-Digest Contents

2003 S&T e-Digest Contents

2004 S&T e-Digest Contents

2005 S&T e-Digest Contents

2006 S&T e-Digest Contents

 

Best Articles 2010

 

 

 

Vol. 125, Issue 2, February 2011, pp.42-53

 

Bullet

Chemical Vapor Identification by Plasma Treated Thick Film Tin Oxide Gas Sensor Array and Pattern Recognition

 

*aJ. K. Srivastava, aPreeti Pandey, bSunil K. Jha, aV. N. Mishra, aR. Dwivedi

aCenter for Research in Microelectronics, Department of Electronics Engineering, Institute of Technology, Banaras Hindu University, Varanasi 221005, India

bDepeartment of Physics, Banaras Hindu University, Varanasi 221005, India

Fax: - 0542-2366758

*E-mail: jks_jitendra@rediffmail.com

 

 

Received: 30 November 2010   /Accepted: 15 February 2011   /Published: 28 February 2011

 

Abstract: Present study deals the class recognition potential of a four element plasma treated thick film tin oxide gas sensor array exposed with volatile organic compounds (VOCs). Methanol, Ethanol and Acetone are selected as target VOCs and exposed on sensor array at different concentration in range from 100-1000 ppm. Sensor array consist of four tin oxide sensors doped with 1-4 % PbO concentrations were fabricated by thick film technology and then treated with oxygen plasma for 5-10 minute durations. Sensor signal is analyzed by principal component analysis (PCA) for visual classification of VOCs. Further output of PCA is used as input for classification of VOCs by four pattern classification techniques as: linear discriminant analysis (LDA), k-nearest neighbor (KNN), back propagation neural network (BPNN) and support vector machine (SVM). All the four classifier results 100 % correct classification rate of VOCs by response analysis of sensor array treated with plasma for 5 minute.

 

Keywords: Tin oxide sensor, Plasma treatment, Pattern recognition methods, Chemical vapor identification

 

Acrobat reader logo Click <here> or title of paper to download the full pages article (921 Kb)

 

 

Read more about Gas Sensors

 

 

 

 

 


1999 - 2011 Copyright , International Frequency Sensor Association (IFSA). All Rights Reserved.


Home - News - Links - Archives - Tools - Standardization - Patents - Marketplace - Projects - Wish List - Subscribe - Search - Membership - Submit Press Release - Twitter

 Members Area -Sensors Portal -Training Courses - S&T Digest - For advertisers - Bookstore - Forums - Polls - Sensor Jobs - e-Shop - Site Map - Video