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Hardware Implementation of E-Nose in Arm-7 Board through Neural Networks

Publication Type : Journal Article

Publisher : IJCA

Source : International Journal of Computer Applications (IJCA), ISSN 0975-888, Vol. 73, No. 13, pp 33 – 37, July 2013.

Url : https://www.researchgate.net/publication/314082242_Hardware_Implementation_of_E-Nose_in_Arm-7_Board_through_Neural_Networks

Campus : Coimbatore

School : School of Engineering

Department : Computer Science and Engineering

Year : 2013

Abstract : In the fast pacing world, it has becomes essential to so many gadgets that humans should take their effort to understand and use them. One such device is an Electronic Nose (E-Nose). There is still a long voyage ahead before artificial Electronic nose is developed completely. This work is a commendation for refining and enhancing current detection capabilities. Gas sensors used in electronic noses are based on broad selectivity profiles, mimicking the responses of olfactory receptors in the biological olfactory system. To identify a particular odour, the design is should be able to detect the odour which sufficient confidence and hence saving the humans for hazardous situation and false alarms.

Cite this Research Publication : Bagavathi C, Moorthilingham J “Hardware Implementation of E-Nose in Arm-7 Board through Neural Networks”, International Journal of Computer Applications (IJCA), ISSN 0975-888, Vol. 73, No. 13, pp 33 – 37, July 2013.

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