NDLI: A new embedded e-nose system to identify smell of smoke

Content Provider	IEEE Xplore Digital Library
Author	Sadeghifard, S. Esmaeilani, L.
Copyright Year	2012
Description	Author affiliation: Instrument Maintenance Department, South Pars Gas Complex, Assaloye, Boushehr, Iran (Sadeghifard, S.; Esmaeilani, L.)
Abstract	This work examines the important applications of modern electronic noses and focus on fire detection system due to advantages over classical method of detections. The three components of an electronic nose consist of sample handling; detection and data processing system are designed. These devices are typically array of sensors used to detect and distinguish odors precisely in complex samples and at low cost and capable of classifying smoke based on neural networks. The potential advantages of such an approach include, the ability to characterize complex mixtures without the need to identify and quantify individual components, Five commercial gas sensors (Figaro) with interesting cross sensitivity and low power consumption are used in sensor array; a micro-controller equipped with a compact flash memory assures data acquisition, analyzing procedures in real time. Signals from this sensor array have unique pattern and applied to the embedded system as inputs. The proposed method in this paper has 97.2% efficiency in smoke classification.
Starting Page	253
Ending Page	257
File Size	664998
Page Count	5
File Format	PDF
ISBN	9781467329743
e-ISBN	9781467329750
DOI	10.1109/SYSoSE.2012.6384178
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-16
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Arrays Character recognition Heating Fires Humidity measurement Microcontrollers Materials Gas sensor Neural network Electronic nose Fire detection
Content Type	Text
Resource Type	Article

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