Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6374
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dc.contributor.authorTurduev, Mirbek-
dc.contributor.authorKirtay, Murat-
dc.contributor.authorSousa, Pedro-
dc.contributor.authorGazi, Veysel-
dc.contributor.authorMarques, Lino-
dc.date.accessioned2021-09-11T15:36:06Z-
dc.date.available2021-09-11T15:36:06Z-
dc.date.issued2010en_US
dc.identifier.citationIEEE International Conference on Systems, Man and Cybernetics -- OCT 10-13, 2010 -- Istanbul, TURKEYen_US
dc.identifier.isbn978-1-4244-6588-0-
dc.identifier.issn1062-922X-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/6374-
dc.description.abstractIn this article we present implementation of Bacterial Foraging Optimization algorithm inspired search by multiple robots in an unknown area in order to find the region with highest chemical gas concentration as well as to build the chemical gas concentration map. The searching and map building tasks are accomplished by using mobile robots equipped with smart transducers for gas sensing called "KheNose". Robots perform the search autonomously via bacterial chemotactic behavior. Moreover, simultaneously the robots send their sensor readings of the chemical concentration and their position data to a remote computer (a base station), where the data is combined, interpolated, and filtered to form an real-time map of the chemical gas concentration in the environment.en_US
dc.description.sponsorshipIEEEen_US
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TUBiTAK)Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [106El22]; European Commission under the GUARDIANS Project (FP6) [045269]en_US
dc.description.sponsorshipThis work was supported by the Scientific and Technological Research Council of Turkey (TUBiTAK) under grant no 106El22 and by the European Commission under the GUARDIANS Project (FP6 contract No. 045269).en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofIEEE International Conference On Systems, Man And Cybernetics (Smc 2010)en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subject[No Keywords]en_US
dc.titleChemical Concentration Map Building Through Bacterial Foraging Optimization Based Search Algorithm by Mobile Robotsen_US
dc.typeConference Objecten_US
dc.relation.ispartofseriesIEEE International Conference on Systems Man and Cybernetics Conference Proceedingsen_US
dc.departmentFaculties, Faculty of Engineering, Department of Electrical and Electronics Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümütr_TR
dc.identifier.startpage3242en_US
dc.identifier.endpage3249en_US
dc.authorid0000-0002-9396-986X-
dc.authorid0000-0002-3334-0808-
dc.authorid0000-0002-4383-9215-
dc.authorid0000-0001-5524-8220-
dc.identifier.wosWOS:000295015303023en_US
dc.identifier.scopus2-s2.0-78751487552en_US
dc.institutionauthorGazi, Veysel-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.relation.conferenceIEEE International Conference on Systems, Man and Cyberneticsen_US
dc.identifier.scopusquality--
item.openairetypeConference Object-
item.languageiso639-1en-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
crisitem.author.dept02.5. Department of Electrical and Electronics Engineering-
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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