Evaluation Of Flow-Induced Voltage Fluctuations Of Gas Chemiresistors By Parametric Empirical Model

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but.event.date26.04.2018cs
but.event.titleStudent EEICT 2018cs
dc.contributor.authorMivalt, Filip
dc.date.accessioned2019-03-04T10:05:45Z
dc.date.available2019-03-04T10:05:45Z
dc.date.issued2018cs
dc.description.abstractAnalyses of voltage or current fluctuations in gas chemical sensors provide precise evaluation metrics for non-flowing gases. Automatic analysis of sensed flowing gas fluctuations is challenging task. The signal is a superposition of more stochastic processes. The presented paper proposes a machine learning empirical model for further automated parametrical analysis of voltage fluctuations produced by a gas sensor and flowing air.en
dc.formattextcs
dc.format.extent267-269cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings of the 24th Conference STUDENT EEICT 2018. s. 267-269. ISBN 978-80-214-5614-3cs
dc.identifier.isbn978-80-214-5614-3
dc.identifier.urihttp://hdl.handle.net/11012/138234
dc.language.isoencs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings of the 24th Conference STUDENT EEICT 2018en
dc.relation.urihttp://www.feec.vutbr.cz/EEICT/cs
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectAnalytical fluctuationsen
dc.subjectmachine learning modelen
dc.subjectgas sensoren
dc.titleEvaluation Of Flow-Induced Voltage Fluctuations Of Gas Chemiresistors By Parametric Empirical Modelen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
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