Title :
SNIFFER: an electronic nose
Author :
Francesco, Fabio Di ; Lazzerini, Beatrice ; Marcelloni, Francesco ; Pioggia, Giovanni
Author_Institution :
Pisa Univ., Italy
Abstract :
In this paper we present SNIFFER, an electronic nose consisting of an array of conducting polymer sensors with partially overlapping sensitivities, and a pattern recognition system based on a new linguistic fuzzy classification method. The method describes the shape of the sensor responses in terms of linguistic expressions, which are derived from a fuzzy partition of the area occupied by each response. The sensors are exposed to odorants and the percentage change in resistance is used for classification purposes. Results of the application of SNIFFER to the recognition of different types of waste water produced both by the industrial activities of leather tanneries and by municipal sewers are presented
Keywords :
chemical engineering computing; chemical sensors; electric sensing devices; pattern classification; sensor fusion; waste disposal; SNIFFER; conducting polymer sensor array; electronic nose; fuzzy partition; industrial activities; leather tanneries; linguistic expressions; linguistic fuzzy classification method; municipal sewers; odorants; partially overlapping sensitivities; pattern recognition system; resistance change; sensor response shape; waste water recognition; Acoustic sensors; Chemical sensors; Electronic noses; Fuzzy systems; Intelligent sensors; Polymers; Sensor arrays; Sensor phenomena and characterization; Sensor systems; Shape;
Conference_Titel :
Knowledge-Based Intelligent Information Engineering Systems, 1999. Third International Conference
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-5578-4
DOI :
10.1109/KES.1999.820153
