TY - JOUR
T1 - A fuzzy inference system for the identification
AU - Rubio, Jose De Jesus
AU - Silva Ortigoza, Ramon
AU - Avila, Francisco Jacob
AU - Melendez, Adolfo
AU - Stein, Juan Manuel
N1 - Publisher Copyright:
© 2003-2012 IEEE.
PY - 2015/9
Y1 - 2015/9
N2 - Odor identification is an important area in a wide range of industries like cosmetics, food, beverages and medical diagnosis among others. Odor detection could be done through an array of gas sensors conformed as an electronic nose where a data acquisition module converts sensor signals to a standard output to be analyzed. To facilitate odors detection a system is required for the identification. This paper presents the results of an automated odor identification process implemented by a fuzzy system and an electronic nose. First, an electronic nose prototype is manufactured to detect organic compounds vapor using an array of five tin dioxide gas sensors, an arduino uno board is used as a data acquisition section. Second, an intelligent module with a fuzzy system is considered for the identification of the signals received by the electronic nose. This solution proposes a system to identify odors by using a personal computer. Results show an acceptable precision.
AB - Odor identification is an important area in a wide range of industries like cosmetics, food, beverages and medical diagnosis among others. Odor detection could be done through an array of gas sensors conformed as an electronic nose where a data acquisition module converts sensor signals to a standard output to be analyzed. To facilitate odors detection a system is required for the identification. This paper presents the results of an automated odor identification process implemented by a fuzzy system and an electronic nose. First, an electronic nose prototype is manufactured to detect organic compounds vapor using an array of five tin dioxide gas sensors, an arduino uno board is used as a data acquisition section. Second, an intelligent module with a fuzzy system is considered for the identification of the signals received by the electronic nose. This solution proposes a system to identify odors by using a personal computer. Results show an acceptable precision.
KW - Fuzzy systems
KW - Identification
UR - http://www.scopus.com/inward/record.url?scp=84961755055&partnerID=8YFLogxK
U2 - 10.1109/TLA.2015.7350026
DO - 10.1109/TLA.2015.7350026
M3 - Artículo
SN - 1548-0992
VL - 13
SP - 2823
EP - 2829
JO - IEEE Latin America Transactions
JF - IEEE Latin America Transactions
IS - 9
M1 - 7350026
ER -