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dc.contributor.authorCastillo Morales, María Encarnación 
dc.contributor.authorSalmerón, José F
dc.contributor.authorFalco, Aniello
dc.contributor.authorLoghin, Florin C
dc.contributor.authorRomero, Francisco J
dc.contributor.authorLugli, Paolo
dc.contributor.authorMorales Santos, Diego Pedro 
dc.date.accessioned2021-12-10T09:57:30Z
dc.date.available2021-12-10T09:57:30Z
dc.date.issued2019-07-11
dc.identifier.urihttp://hdl.handle.net/10481/71977
dc.description.abstractThis paper presents a novel algorithm for the measurement of resistive-type gas sensors with carbon nanotubes (CNTs) as sensitive layer. Contrary to conventional strategies, which extract the sensor information from the normalized resistance, the proposed algorithm is based on the variation in resistance over time. The results have demonstrated that the time necessary to get the maximum performance of these sensors is reduced around a 25% when compared with the conventional approach for any of the recovery strategies analyzed (passive desorption, external heating, or dc voltage). The hardware implementation of the proposed algorithm in a field-programmable gate array (FPGA) has also demonstrated that, in addition to optimizing the sensor performance in terms of time response and sensitivity, this measurement algorithm yields a significant minimization of the sensor readout circuit resources at both software and hardware levels paving the way for future development of smart sensors for the Internet of Things (IoT) applications.es_ES
dc.language.isoenges_ES
dc.subjectCarbon nanotube (CNT)es_ES
dc.subjectField-programmable gate array (FPGA)es_ES
dc.subjectInkjet printinges_ES
dc.subjectNH₃es_ES
dc.subjectrecoveryes_ES
dc.subjectsingle-walledes_ES
dc.subjectspray depositiones_ES
dc.titleAn Optimized Measurement Algorithm for Gas Sensors Based on Carbon Nanotubes: Optimizing Sensor Performance and Hardware Resourceses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/-MSCA-IF-2017-794885-SELFSENSes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doihttps://doi.org/10.1109/JIOT.2019.2928231
dc.type.hasVersioninfo:eu-repo/semantics/submittedVersiones_ES


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