Fire data analysis and feature reduction using computational intelligence methods


Share/Save/Bookmark

Bahrepour, Majid and Zwaag van der, Berend Jan and Meratnia, Nirvana and Havinga, Paul (2010) Fire data analysis and feature reduction using computational intelligence methods. In: Second KES International Symposium on Intelligent Decision Technologies, IDT 2010, 28-30 July 2010, Baltimore, MD, USA.

[img]
Preview
PDF
2241Kb
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.
Item Type:Conference or Workshop Item
Copyright:© 2010 Springer
Faculty:
Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:
Link to this item:http://purl.utwente.nl/publications/72520
Official URL:http://dx.doi.org/10.1007/978-3-642-14616-9_28
Export this item as:BibTeX
EndNote
HTML Citation
Reference Manager

 

Repository Staff Only: item control page

Metis ID: 270961