Odor Classification using Agent Technology

Odor Classification using Agent Technology

Authors:
Sigeru OMATU, Tatsuyuki WADA, Pablo CHAMOSO

DOI:
10.14201/ADECAIJ2013174148

Volume:
Regular Issue 2 (4), 2013

Keywords: 
Odor sensing; Odor classification; Multi-agent system; Virtual organization; QCM sensor

In order to measure and classify odors, Quartz Crystal Microbalance (QCM) can be used. In the present study, seven QCM sensors and three different odors are used. The system has been developed as a virtual organization of agents using an agent platform called PANGEA (Platform for Automatic coNstruction of orGanizations of intElligent Agents). This is a platform for developing open multi-agent systems, specifically those including organizational aspects. The main reason for the use of agents is the scalability of the platform, i.e. the way in which it models the services. The system models functionalities as services inside the agents, or as Service Oriented Approach (SOA) architecture compliant services using Web Services. This way the adaptation of the odor classification systems with new algorithms, tools and classification techniques is allowed.

JCR

Position in 2022 Journal Citation Indicator (JCI) Ranking:
Category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE


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