bullet Sensors & Transducers Journal

    (ISSN: 2306-8515, e-ISSN 1726-5479)


2013 Global Impact Factor


2008 e-Impact Factor

25 Top Downloaded Articles

Best Selling Articles 2012

Journal Subscription 2014

Editorial Calendar

Submit an Article

Editorial Board

Current Issue

S&T journal's cover

Sensors & Transducers Journal 2011

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 2011




Vol. 182, Issue 11, November 2014, pp. 57-61




Study on a Fire Detection System Based on Support Vector Machine

1 Ye Xiaoting, 2 Wu Shasha, 3 Xu Jingjing

1, 2 Faculty of Electronic and Electrical Engineering, Huaiyin Institute of Technology, Huaian Jiangsu 223003, China
3 Department of Electrical Engineering, Jiangsu Huaian Technician College, Huaian Jiangsu 223001, China
1 Tel.: 13511551985

E-mail: xiaotingye@163.com


Received: 16 September 2014 /Accepted: 30 October 2014 /Published: 30 November 2014

Digital Sensors and Sensor Sysstems


Abstract: It is very important to research the prediction of fire, which is significant to the people and nation. The traditional fire detection system based on neural network has the disadvantages of over learning, trapped in local minimum, etc. This paper proposes a new fire detection system based on support vector machine (SVM). Gas sensors, smoke sensor and temperature sensor are composed to be a sensor array. The fire detection model is established, including sample selection, prediction model training prediction, output modules, etc. The SVM transform the complicated nonlinear problem into the linear problem in the high dimensional plane. The experimental results show that fire detection system based on support vector machine had high recognition rate and reliability, it overcomes the disadvantages of traditional methods.


Keywords: Support vector machine, Fire detection, Sensor array, Pattern recognition.


Acrobat reader logo Click <here> or title of paper to download the full pages article in pdf format



Subscribe the full-page Sensors & Transducers journal in print (paper) or pdf formats

(shipping cost by standard mail for paper version is included)

(25 % discount for IFSA Members)




Alternatively we accept a money transfer to our bank account. Please contact for details: sales@sensorsportal.com



Download <here> the Library Journal Recommendation Form






1999 - 2014 Copyright , International Frequency Sensor Association (IFSA) Publishing, S.L. All Rights Reserved.

Home - News - Links - Archives - Tools - Voltage-to-Frequency Converters - Standardization - Patents - Marketplace - Projects - Wish List - e-Shop - Sensor Jobs - Membership - Videos - Publishing - Site Map - Subscribe - Search

 Members Area -Sensors Portal -Training Courses - S&T Digest - For advertisers - Bookstore - Forums - Polls - Submit Press Release - Submit White Paper - Testimonies - Twitter - Facebook - LinkedIn