Tomosim

Detalhes bibliográficos
Autor(a) principal: de Almeida, Rui Valente
Data de Publicação: 2021
Outros Autores: Matela, Nuno, Vieira, Pedro
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/132980
Resumo: PDE/BDE/ 114549/2016 UIDB/00645/2020
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spelling TomosimA tomographic simulator for differential optical absorption spectroscopyAtmospheric monitoringDOASDroneTomographyUAVControl and Systems EngineeringInformation SystemsAerospace EngineeringComputer Science ApplicationsArtificial IntelligencePDE/BDE/ 114549/2016 UIDB/00645/2020TomoSim comes as part of project ATMOS, a miniaturised Differential Optical Absorption Spectroscopy (DOAS) tomographic atmospheric evaluation device, designed to fit a small drone. During the development of the project, it became necessary to write a simulation tool for system validation. TomoSim is the answer to this problem. The software has two main goals: to mathemati-cally validate the tomographic acquisition method; and to allow some adjustments to the system before reaching final product stages. This measurement strategy was based on a drone performing a sequential trajectory and gathering projections arranged in fan beams, before using some classical tomographic methods to reconstruct a spectral image. The team tested three different reconstruction algorithms, all of which were able to produce an image, validating the team’s initial assumptions regarding the trajectory and acquisition strategy. All algorithms were assessed on their computational performance and their ability for reconstructing spectral “images”, using two phantoms, one of which custom made for this purpose. In the end, the team was also able to uncover certain limitations of the TomoSim approach that should be addressed before the final stages of the system.DF – Departamento de FísicaRUNde Almeida, Rui ValenteMatela, NunoVieira, Pedro2022-02-15T23:36:20Z2021-032021-03-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article20application/pdfhttp://hdl.handle.net/10362/132980engPURE: 36700069https://doi.org/10.3390/drones5010003info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:11:38Zoai:run.unl.pt:10362/132980Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:47:39.275581Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Tomosim
A tomographic simulator for differential optical absorption spectroscopy
title Tomosim
spellingShingle Tomosim
de Almeida, Rui Valente
Atmospheric monitoring
DOAS
Drone
Tomography
UAV
Control and Systems Engineering
Information Systems
Aerospace Engineering
Computer Science Applications
Artificial Intelligence
title_short Tomosim
title_full Tomosim
title_fullStr Tomosim
title_full_unstemmed Tomosim
title_sort Tomosim
author de Almeida, Rui Valente
author_facet de Almeida, Rui Valente
Matela, Nuno
Vieira, Pedro
author_role author
author2 Matela, Nuno
Vieira, Pedro
author2_role author
author
dc.contributor.none.fl_str_mv DF – Departamento de Física
RUN
dc.contributor.author.fl_str_mv de Almeida, Rui Valente
Matela, Nuno
Vieira, Pedro
dc.subject.por.fl_str_mv Atmospheric monitoring
DOAS
Drone
Tomography
UAV
Control and Systems Engineering
Information Systems
Aerospace Engineering
Computer Science Applications
Artificial Intelligence
topic Atmospheric monitoring
DOAS
Drone
Tomography
UAV
Control and Systems Engineering
Information Systems
Aerospace Engineering
Computer Science Applications
Artificial Intelligence
description PDE/BDE/ 114549/2016 UIDB/00645/2020
publishDate 2021
dc.date.none.fl_str_mv 2021-03
2021-03-01T00:00:00Z
2022-02-15T23:36:20Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/132980
url http://hdl.handle.net/10362/132980
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv PURE: 36700069
https://doi.org/10.3390/drones5010003
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