| 1. Identificação | |
| Tipo de Referência | Artigo em Evento (Conference Proceedings) |
| Site | mtc-m21d.sid.inpe.br |
| Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
| Identificador | 8JMKD3MGP3W34T/47LCL45 |
| Repositório | sid.inpe.br/mtc-m21d/2022/09.19.14.11 |
| Última Atualização | 2022:09.19.14.11.52 (UTC) simone |
| Repositório de Metadados | sid.inpe.br/mtc-m21d/2022/09.19.14.11.52 |
| Última Atualização dos Metadados | 2023:01.03.16.46.16 (UTC) administrator |
| Chave Secundária | INPE--PRE/ |
| Chave de Citação | Barbosa:2022:MaLeAp |
| Título | Machine learning applied to Amazonia-1 satellite power subsystem telemetry prediction  |
| Ano | 2022 |
| Data de Acesso | 02 jun. 2024 |
| Tipo Secundário | PRE CI |
| Número de Arquivos | 1 |
| Tamanho | 37 KiB |
|
| 2. Contextualização | |
| Autor | Barbosa, Ivan Márcio |
| Grupo | COIDS-CGIP-INPE-MCTI-GOV-BR |
| Afiliação | Instituto Nacional de Pesquisas Espaciais (INPE) |
| Endereço de e-Mail do Autor | ivanmbarbosa@gmail.com |
| Nome do Evento | International Astronautical Congress, 73 |
| Localização do Evento | Paris, France |
| Data | 18-22 Sept. 2022 |
| Editora (Publisher) | IAF |
| Histórico (UTC) | 2022-09-19 14:11:52 :: simone -> administrator ::
2023-01-03 16:46:16 :: administrator -> simone :: 2022 |
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| 3. Conteúdo e estrutura | |
| É a matriz ou uma cópia? | é a matriz |
| Estágio do Conteúdo | concluido |
| Transferível | 1 |
| Tipo do Conteúdo | External Contribution |
| Resumo | This article presents the collection, exploratory data analysis, model training, evaluation, use of hyperparameters and implementation of the machine learning model that will be used to predict telemetry data from Amazonia-1 satellite developed by National Institute for Space Research (INPE). The payload data, which are acquired at the earth reception stations on INPE campus in CuiabA¡ (Mato Grosso State) and are processed, stored, and distributed, free of charge, are not part of the scope of this research work. AmazAnia-1 satellite is a satellite for remote sensing that was launched in 2021, uses the Multi-Mission Platform (MMP) as a service module and has an imaging camera named Wide Field Imager (WFI). It has 60 m of spatial resolution, 850 km width of the imaged strip and with 5 days revisit time. AmazAnia-1 satellite has 715 telemetries with distinct data types (boolean, categorical, numerical) that will be used as dependent and independent variables. The amount of telemetry data generated daily is large and this makes manual analysis of this data unfeasible. Therefore, during the data preparation and manipulation phase, different attribute selection methods (e.g., filter, wrapper and embedded) are used. Then, the bagginng (e.g., Random Forest) and ensemble (e.g., XGBoost, AdaBoost) machine learning algorithms will be used to predict the values of the dependent variable of the telemetries of the electric power subsystem. of Amazon-1 satellite. For evaluation and performance of the machine learning model, the metrics Mean Absolute Error (MAE), Root Mean Square Error (RMSE) and (MAE) and R2 (coefficient of determination) will be used. At the end, the machine learning model with better quality and performance will be implemented by INPEs at TT&C facilities. |
| Área | ETES |
| Arranjo | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGIP > Machine learning applied... |
| Conteúdo da Pasta doc | acessar |
| Conteúdo da Pasta source | não têm arquivos |
| Conteúdo da Pasta agreement | |
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| 4. Condições de acesso e uso | |
| URL dos dados | http://mtc-m21d.sid.inpe.br/ibi/8JMKD3MGP3W34T/47LCL45 |
| URL dos dados zipados | http://mtc-m21d.sid.inpe.br/zip/8JMKD3MGP3W34T/47LCL45 |
| Idioma | en |
| Arquivo Alvo | IAC-22,B6,1,9,x72024.brief.pdf |
| Grupo de Usuários | simone |
| Visibilidade | shown |
| Permissão de Atualização | não transferida |
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| 5. Fontes relacionadas | |
| Unidades Imediatamente Superiores | 8JMKD3MGPCW/46KUES5 |
| Lista de Itens Citando | sid.inpe.br/bibdigital/2022/04.03.23.11 3 |
| Acervo Hospedeiro | urlib.net/www/2021/06.04.03.40 |
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| 6. Notas | |
| Campos Vazios | archivingpolicy archivist booktitle callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor format isbn issn keywords label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisheraddress readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url versiontype volume |
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| 7. Controle da descrição | |
| e-Mail (login) | simone |
| atualizar | |
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