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https://doi.org/10.21256/zhaw-20009| Publication type: | Conference paper |
| Type of review: | Peer review (abstract) |
| Title: | Dual oxygen and temperature sensing with single indicator using multi-task-learning neural networks |
| Authors: | Venturini, Francesca Michelucci, Umberto Baumgartner, Michael |
| et. al: | No |
| DOI: | 10.1117/12.2554941 10.21256/zhaw-20009 |
| Proceedings: | Proceedings Volume 11354 : Optical Sensing and Detection VI |
| Issue: | 113541C |
| Conference details: | SPIE Photonics Europe, Digital Forum, France, 6 - 10 April 2020 |
| Issue Date: | 2020 |
| Publisher / Ed. Institution: | Society of Photo-Optical Instrumentation Engineers (SPIE) |
| Publisher / Ed. Institution: | Bellingham |
| ISBN: | 9781510634800 9781510634817 |
| ISSN: | 0277-786X 1996-756X |
| Language: | English |
| Subjects: | Optical sensor; Luminescence; Multi-task learning; Oxygen sensing; Dual sensing |
| Subject (DDC): | |
| Abstract: | The 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. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/20009 |
| Fulltext version: | Published version |
| License (according to publishing contract): | Licence according to publishing contract |
| Departement: | School of Engineering |
| Organisational Unit: | Institute of Applied Mathematics and Physics (IAMP) |
| Appears in collections: | Publikationen School of Engineering |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| 2020_Venturini-etal_Dual-oxygen-temperature-sensing_SPIE_113541C.pdf | 683.73 kB | Adobe PDF |  View/Open |
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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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