Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/3105
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dc.contributor.authorSovilj, Platonen
dc.contributor.authorVujičić B.en
dc.contributor.authorPejić, Draganen
dc.contributor.authorNovaković, Đorđeen
dc.contributor.authorAvramov-Zamurovic S.en
dc.contributor.authorMakal J.en
dc.date.accessioned2019-09-23T10:25:42Z-
dc.date.available2019-09-23T10:25:42Z-
dc.date.issued2017-07-05en
dc.identifier.isbn9781538608654en
dc.identifier.urihttps://open.uns.ac.rs/handle/123456789/3105-
dc.description.abstract© 2017 IEEE. The low power stochastic sensor is proposed, and its suitability for operation in Internet of Things (IoT) environment is emphasized. Unlike typical digital sensors, instead of a digitizing module, this sensor has a digital stochastic measurement module (DSMM). DSMM enables low-power yet fast and accurate functioning of the sensor. Assessment model includes test signal generator, the standard calibrator, DSMM of the sensor.en
dc.relation.ispartof2017 Zooming Innovation in Consumer Electronics International Conference: Galvanize Your Creativity, ZINC 2017en
dc.titleLow power stochastic sensor in Internet of Things environmenten
dc.typeConference Paperen
dc.identifier.doi10.1109/ZINC.2017.7968661en
dc.identifier.scopus2-s2.0-85027396949en
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85027396949en
dc.relation.lastpage53en
dc.relation.firstpage52en
item.grantfulltextnone-
item.fulltextNo Fulltext-
crisitem.author.deptFakultet tehničkih nauka, Departman za energetiku, elektroniku i telekomunikacije-
crisitem.author.parentorgFakultet tehničkih nauka-
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