Fire Data Analysis and Feature Reduction Using Computational Intelligence Methods
| Autor: | Bahrepour, M., van der Zwaag, B.J., Meratnia, Nirvana, Havinga, Paul J.M., Phillips-Wren, G., Jain, L.C., Nakamatsu, K. |
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| Rok vydání: | 2010 |
| Předmět: |
Engineering
EWI-18253 business.industry Fire detection Event (computing) 020206 networking & telecommunications Computational intelligence 02 engineering and technology computer.software_genre IR-72520 13. Climate action Feature (computer vision) METIS-270961 Sensor node Environmental monitoring EC Grant Agreement nr.: FP7/215923 0202 electrical engineering electronic engineering information engineering Data analysis 020201 artificial intelligence & image processing Data mining business computer Wireless sensor network |
| Zdroj: | Advances in Intelligent Decision Technologies ISBN: 9783642146152 Advances in Intelligent Decision Technologies-Proceedings of the Second KES International Symposium IDT 2010, 289-298 STARTPAGE=289;ENDPAGE=298;TITLE=Advances in Intelligent Decision Technologies-Proceedings of the Second KES International Symposium IDT 2010 |
| DOI: | 10.1007/978-3-642-14616-9_28 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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