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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
IdentifierJ8LNKAN8RW/3D53UBJ
Repositorydpi.inpe.br/plutao/2012/11.28.18.21.25
Last Update2013:01.29.17.57.14 (UTC) marciana
Metadata Repositorydpi.inpe.br/plutao/2012/11.28.18.21.26
Metadata Last Update2018:06.05.00.02.11 (UTC) administrator
Secondary KeyINPE--PRE/
Labellattes: 1304704585952173 2 BotelhoFerr:2012:MaMoPr
Citation KeyBotelhoFerr:2012:MaMoPr
TitleA mathematical model to predict operating states of satellites
FormatDVD
Year2012
Access Date2024, May 18
Secondary TypePRE CI
Number of Files1
Size272 KiB
2. Context
Author1 Botelho, Primavera
2 Ferreira, Maurício Gonçalves Vieira
Resume Identifier1
2 8JMKD3MGP5W/3C9JHT8
Group1 LAC-CTE-INPE-MCTI-GOV-BR
2 CRC-CRC-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 prima@laser.inpe.br
2 mauricio@ccs.inpe.br
e-Mail Addressmauricio@ccs.inpe.br
Conference NameInternational Conference on Space Operations, 12 (SpaceOps).
Conference LocationEstocolmo
Date2012
Book TitleProceedings
Tertiary TypePaper
History (UTC)2012-11-28 23:06:33 :: lattes -> marciana :: 2012
2013-01-29 18:00:28 :: marciana -> administrator :: 2012
2018-06-05 00:02:11 :: administrator -> marciana :: 2012
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywordsmathematical model
artificial intelligence
satellites
AbstractThe increased on demand from orbiting satellites in operation according to the National Institute for Space Researchs satellite program has motivated continuous improvement safety in the planning of routine operations in order to ensure the integrity of satellites in orbit. Therefore, we propose a mathematical model based on artificial intelligence concepts, which uses algorithms developed for machine learning in the analysis of operational data to predict future states of satellites. The application developed from this data mining predictive model is also presented as an alternative to expensive simulators to perform prediction of satellites operating conditions, reducing costs of control activities of the satellites in orbit.
AreaETES
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > LABAC > A mathematical model...
Arrangement 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > COCRC > A mathematical model...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/J8LNKAN8RW/3D53UBJ
zipped data URLhttp://urlib.net/zip/J8LNKAN8RW/3D53UBJ
Languageen
Target Fileid1272995-Paper-002.pdf
User Grouplattes
marciana
Visibilityshown
Read Permissionallow from all
Update Permissionnot transferred
5. Allied materials
LinkingTrabalho Vinculado à Tese/Dissertação
Next Higher Units8JMKD3MGPCW/3ESGTTP
8JMKD3MGPCW/3F3PAJE
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.56.30 1
sid.inpe.br/bibdigital/2013/10.19.00.29 1
URL (untrusted data)http://www.spaceops2012.org
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
Empty Fieldsarchivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi edition editor isbn issn lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress readergroup rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject type volume
7. Description control
e-Mail (login)marciana
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