DocumentCode :
1883427
Title :
An Intelligent Wireless Electronic Nose Node for Monitoring Gas Mixtures Using Neuro-Fuzzy Networks Implemented on a Microcontroller
Author :
Kim, Young Wung ; Cho, Jung Hwan ; Jeon, Gi Joon
Author_Institution :
Kyungpook Nat. Univ., Kyungpook
fYear :
2007
fDate :
27-29 June 2007
Firstpage :
100
Lastpage :
104
Abstract :
This paper presents an intelligent wireless electronic nose node (WENN) that has been designed to classify and quantify binary gas mixtures, NH3 and H2S, the main malodors in various environments. The proposed WENN is based on embedded PC technology and neuro-fuzzy network algorithms. The hardware part of the designed system consists of a microcontroller for processing the measured data set obtained from a micro-gas sensor array, and a Zigbee-ready RF transceiver for transmitting the processed data to a base node. The main program embedded on the designed hardware performs real-lime classification and concentration estimation of the binary gas mixtures using the fuzzy ART and ARTMAP neural networks. To verify performance of the designed intelligent WENN, the measured data from the experiments for the binary gas mixtures have been executed using the WENN. The results show the reproducibility of the measured data and the verification of real-time classification and concentration estimation for the target gas.
Keywords :
electronic noses; fuzzy neural nets; intelligent sensors; neurocontrollers; ARTMAP neural networks; H2S - Binary; NH3 - Binary; Zigbee-ready RF transceiver; binary gas mixture; concentration estimation; embedded PC technology; fuzzy ART; gas mixture monitoring; intelligent wireless electronic nose; malodors; micro-gas sensor array; microcontroller implementation; neuro-fuzzy networks; real-lime classification; Electronic noses; Fuzzy neural networks; Hardware; Intelligent networks; Intelligent sensors; Microcontrollers; Monitoring; Radio frequency; Sensor arrays; Sensor systems; Wireless electronic nose node; classification; embedded system; estimation of concentration; fuzzy ART; gas mixture; micro-gas sensor array;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence for Measurement Systems and Applications, 2007. CIMSA 2007. IEEE International Conference on
Conference_Location :
Ostuni
Print_ISBN :
978-1-4244-0824-5
Electronic_ISBN :
978-1-4244-0824-5
Type :
conf
DOI :
10.1109/CIMSA.2007.4362547
Filename :
4362547
Link To Document :
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