Please use this identifier to cite or link to this item:
https://open.uns.ac.rs/handle/123456789/3105
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Sovilj, Platon | en |
dc.contributor.author | Vujičić B. | en |
dc.contributor.author | Pejić, Dragan | en |
dc.contributor.author | Novaković, Đorđe | en |
dc.contributor.author | Avramov-Zamurovic S. | en |
dc.contributor.author | Makal J. | en |
dc.date.accessioned | 2019-09-23T10:25:42Z | - |
dc.date.available | 2019-09-23T10:25:42Z | - |
dc.date.issued | 2017-07-05 | en |
dc.identifier.isbn | 9781538608654 | en |
dc.identifier.uri | https://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.ispartof | 2017 Zooming Innovation in Consumer Electronics International Conference: Galvanize Your Creativity, ZINC 2017 | en |
dc.title | Low power stochastic sensor in Internet of Things environment | en |
dc.type | Conference Paper | en |
dc.identifier.doi | 10.1109/ZINC.2017.7968661 | en |
dc.identifier.scopus | 2-s2.0-85027396949 | en |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/85027396949 | en |
dc.relation.lastpage | 53 | en |
dc.relation.firstpage | 52 | en |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
crisitem.author.dept | Fakultet tehničkih nauka, Departman za energetiku, elektroniku i telekomunikacije | - |
crisitem.author.parentorg | Fakultet tehničkih nauka | - |
Appears in Collections: | FTN Publikacije/Publications |
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