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Computed tomography for indoor application
University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för energi- och maskinteknik.ORCID iD: 0000-0003-2023-689X
University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för inomhusmiljö. (Lab Ventilation och Luftkvalitet)
2006 (English)In: The International Journal of Ventilation, ISSN 1473-3315, Vol. 4, no 4, 349-364 p.Article in journal (Refereed) Published
Abstract [en]

This paper deals with tomographic techniques for two-dimensional spatially resolved concentration measurements indoors. This represents a significant advance over the traditional point measuring method for mapping tracer gas and pollutants. Methods for recording of data are stressed as well as different types of tomographic reconstruction algorithms such as the Smooth Basis Function Minimization (SBFM) and the modified Low Third Derivative (LTDm) methods. Among the reconstruction algorithms available today, SBFM and LTDm are among the most promising. These algorithms show potential for reconstruction of gas concentration in rooms, since they are regularized to converge towards smooth concentration distributions. Using the LTD method and ‘snapshot’ configuration enables the examination and real-time monitoring of transient flows.

Place, publisher, year, edition, pages
2006. Vol. 4, no 4, 349-364 p.
Keyword [en]
computed tomography, tomographic reconstruction algorithms, pollution distribution monitoring, laser scanning.
Identifiers
URN: urn:nbn:se:hig:diva-888OAI: oai:DiVA.org:hig-888DiVA: diva2:117550
Available from: 2008-06-02 Created: 2008-06-02 Last updated: 2017-01-03Bibliographically approved

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