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Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-20009
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dc.contributor.authorVenturini, Francesca-
dc.contributor.authorMichelucci, Umberto-
dc.contributor.authorBaumgartner, Michael-
dc.date.accessioned2020-05-14T12:34:41Z-
dc.date.available2020-05-14T12:34:41Z-
dc.date.issued2020-
dc.identifier.isbn9781510634800de_CH
dc.identifier.isbn9781510634817de_CH
dc.identifier.issn0277-786Xde_CH
dc.identifier.issn1996-756Xde_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/20009-
dc.description.abstractThe optical determination of oxygen partial pressure is of great interest in numerous areas, like medicine, biotechnology, and chemistry. A well-known optical measuring approach is based on the quenching of luminescence by the oxygen molecules. The conventional approach consists in measuring the intensity decay time and relate it to the oxygen concentration through a multi-parametric model (Stern–Volmer equation). The parameters of this equation are, however, all temperature-dependent. Therefore the temperature needs to be known to determine the oxygen concentration and is measured separately, either optically or with a completely different sensor. This work proposes a new approach based on a multi-task learning (MTL) neural network. Using the luminescence data of one single indicator, which is sensitive to both oxygen and temperature, the neural network achieves predictions of both parameters which are comparable to the accuracy of commercial senors. The impact of the new proposed approach is however not limited to dual oxygen and temperature sensing, but can be applied to all those cases in which the sensor response is too complex, to be comfortably described by a mathematical model.de_CH
dc.language.isoende_CH
dc.publisherSociety of Photo-Optical Instrumentation Engineers (SPIE)de_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectOptical sensorde_CH
dc.subjectLuminescencede_CH
dc.subjectMulti-task learningde_CH
dc.subjectOxygen sensingde_CH
dc.subjectDual sensingde_CH
dc.subject.ddc621.3: Elektro-, Kommunikations-, Steuerungs- und Regelungstechnikde_CH
dc.titleDual oxygen and temperature sensing with single indicator using multi-task-learning neural networksde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Angewandte Mathematik und Physik (IAMP)de_CH
zhaw.publisher.placeBellinghamde_CH
dc.identifier.doi10.1117/12.2554941de_CH
dc.identifier.doi10.21256/zhaw-20009-
zhaw.conference.detailsSPIE Photonics Europe, Digital Forum, France, 6 - 10 April 2020de_CH
zhaw.funding.euNode_CH
zhaw.issue113541Cde_CH
zhaw.originated.zhawYesde_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewPeer review (Abstract)de_CH
zhaw.title.proceedingsProceedings Volume 11354 : Optical Sensing and Detection VIde_CH
zhaw.webfeedPhotonicsde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
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Venturini, F., Michelucci, U., & Baumgartner, M. (2020). Dual oxygen and temperature sensing with single indicator using multi-task-learning neural networks [Conference paper]. Proceedings Volume 11354 : Optical Sensing and Detection VI, 113541C. https://doi.org/10.1117/12.2554941
Venturini, F., Michelucci, U. and Baumgartner, M. (2020) ‘Dual oxygen and temperature sensing with single indicator using multi-task-learning neural networks’, in Proceedings Volume 11354 : Optical Sensing and Detection VI. Bellingham: Society of Photo-Optical Instrumentation Engineers (SPIE). Available at: https://doi.org/10.1117/12.2554941.
F. Venturini, U. Michelucci, and M. Baumgartner, “Dual oxygen and temperature sensing with single indicator using multi-task-learning neural networks,” in Proceedings Volume 11354 : Optical Sensing and Detection VI, 2020, no. 113541C. doi: 10.1117/12.2554941.
VENTURINI, Francesca, Umberto MICHELUCCI und Michael BAUMGARTNER, 2020. Dual oxygen and temperature sensing with single indicator using multi-task-learning neural networks. In: Proceedings Volume 11354 : Optical Sensing and Detection VI. Conference paper. Bellingham: Society of Photo-Optical Instrumentation Engineers (SPIE). 2020. ISBN 9781510634800
Venturini, Francesca, Umberto Michelucci, and Michael Baumgartner. 2020. “Dual Oxygen and Temperature Sensing with Single Indicator Using Multi-Task-Learning Neural Networks.” Conference paper. In Proceedings Volume 11354 : Optical Sensing and Detection VI. Bellingham: Society of Photo-Optical Instrumentation Engineers (SPIE). https://doi.org/10.1117/12.2554941.
Venturini, Francesca, et al. “Dual Oxygen and Temperature Sensing with Single Indicator Using Multi-Task-Learning Neural Networks.” Proceedings Volume 11354 : Optical Sensing and Detection VI, no. 113541C, Society of Photo-Optical Instrumentation Engineers (SPIE), 2020, https://doi.org/10.1117/12.2554941.


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