Abstract
Fire is basically the fast oxidation of a substance that produces gases and chemical productions. These chemical productions can be read by sensors to yield an insight about type and place of the fire. However, as fires may occur in indoor or outdoor areas, the type of gases and therefore sensor readings become different. Recently, wireless sensor networks (WSNs) have been used for environmental monitoring and real-time event detection because of their low implementation costs and their capability of distributed sensing and processing. In this paper, the authors investigate spatial analysis of data for indoor and outdoor fires using data-mining approaches for WSN-based fire detection purposes. This paper also delves into correlated data features in fire data sets and investigates the most contributing features for fire detection applications.
Original language | Undefined |
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Title of host publication | Advances in Intelligent Decision Technologies - Proceedings of the Second KES International Symposium IDT 2010 |
Editors | G. Phillips-Wren, L.C. Jain, K. Nakamatsu |
Place of Publication | Berlin Heidelberg |
Publisher | Springer |
Pages | 289-298 |
Number of pages | 10 |
ISBN (Print) | 978-3-642-14615-2 |
DOIs | |
Publication status | Published - 23 Jul 2010 |
Event | 2nd KES International Symposium on Intelligent Decision Technologies 2010 - Inner Harbor, Baltimore, Baltimore, United States Duration: 28 Jul 2010 → 30 Jul 2010 Conference number: 2 |
Publication series
Name | Smart Innovation, Systems and Technologies |
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Publisher | Springer-Verlag |
Volume | 4 |
ISSN (Print) | 2190-3018 |
Conference
Conference | 2nd KES International Symposium on Intelligent Decision Technologies 2010 |
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Abbreviated title | KES IDT 2010 |
Country/Territory | United States |
City | Baltimore |
Period | 28/07/10 → 30/07/10 |
Keywords
- IR-72520
- EWI-18253
- EC Grant Agreement nr.: FP7/215923
- METIS-270961