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dc.contributor.authorOmatu, Sigeru
dc.contributor.authorWada, Tatsuyuki
dc.contributor.authorRodríguez González, Sara 
dc.contributor.authorChamoso Santos, Pablo 
dc.contributor.authorCorchado Rodríguez, Juan Manuel 
dc.date.accessioned2017-09-06T09:17:03Z
dc.date.available2017-09-06T09:17:03Z
dc.date.issued2014
dc.identifier.citationAmbient Intelligence - Software and Applications.. Advances in Intelligent Systems and Computing. Volumen 291, pp. 241-252.
dc.identifier.isbn978-3-319-07595-2 (Print) / 978-3-319-07596-9 (Online)
dc.identifier.issn2194-5357 (Print) / 2194-5365 (Online)
dc.identifier.urihttp://hdl.handle.net/10366/135151
dc.description.abstractQuartz crystal microbalance (QCM) sensors are used to measure and classify odors. In this paper, we use seven QCM sensors and three kinds of odors. The system has been developed as a virtual organization of agents using the agent platform called PANGEA (Platform for Automatic coNstruction of orGanizations of intElligents Agents), which is a platform to develop open multi-agent systems, specifically those including organizational aspects. The main reason that justifies the use of the agents is the scalability of the platform; that is, the way in which it models the services. The functionalities of the system are modeled as services inside the agents, or as SOA (Service Oriented Approach) architecture compliant services using Web Services. In this way, it is possible to improve odor classification systems with new algorithms, tools and classification techniques.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherSpringer Science + Business Media
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subjectComputer Science
dc.titleMulti-agent Technology to Perform Odor Classification
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess


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