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Registro Completo |
Biblioteca(s): |
Embrapa Instrumentação. |
Data corrente: |
08/11/2011 |
Data da última atualização: |
25/02/2019 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
SILVA, D. C. P. da; JORGE, L. A. de C.; POSADAS, A.; PAIVA, M. S. V. de. |
Afiliação: |
LUCIO ANDRE DE CASTRO JORGE, CNPDIA. |
Título: |
Geração de um classificador para detecção do HLB em citros utilizando técnica box-couting multifractal. |
Ano de publicação: |
2011 |
Fonte/Imprenta: |
In: WORKSHOP DE VISÃO COMPUTACIONAL, 7., 2011, Curitiba. Anais... Curitiba: Universidade Federal do Paraná (UFPR), 2011. p. 179-183. |
ISSN: |
2175-6120 |
Idioma: |
Português |
Palavras-Chave: |
Citros; Huanglongbing HLB; Técnica box-couting multifractal. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/193344/1/Geracao-de-um-classificador-para-deteccao-do-HLB-em-citros-utilizando-tecnica-box-couting-multifractal..pdf
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Marc: |
LEADER 00693nam a2200181 a 4500 001 1905272 005 2019-02-25 008 2011 bl uuuu u00u1 u #d 022 $a2175-6120 100 1 $aSILVA, D. C. P. da 245 $aGeração de um classificador para detecção do HLB em citros utilizando técnica box-couting multifractal.$h[electronic resource] 260 $aIn: WORKSHOP DE VISÃO COMPUTACIONAL, 7., 2011, Curitiba. Anais... Curitiba: Universidade Federal do Paraná (UFPR), 2011. p. 179-183.$c2011 653 $aCitros 653 $aHuanglongbing HLB 653 $aTécnica box-couting multifractal 700 1 $aJORGE, L. A. de C. 700 1 $aPOSADAS, A. 700 1 $aPAIVA, M. S. V. de
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Registro original: |
Embrapa Instrumentação (CNPDIA) |
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Registro Completo
Biblioteca(s): |
Embrapa Pecuária Sudeste. |
Data corrente: |
10/05/2023 |
Data da última atualização: |
10/05/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 4 |
Autoria: |
VILELA, F. DE A.; TIMES, V. C.; BERNARDI, A. C. de C.; FREITAS, A. DE P.; CIFERRI, R. R. |
Afiliação: |
FLÁVIO DE ASSIS VILELA, Federal Institute of Goiás; VALÉRIA CESÁRIO TIMES, Federal University of Pernambuco; ALBERTO CARLOS DE CAMPOS BERNARDI, CPPSE; AUGUSTO DE PAULA FREITAS, Federal University of São Carlos; RICARDO RODRIGUES CIFERRI, Federal University of São Carlos. |
Título: |
A non-intrusive and reactive architecture to support real-time ETL processes in data warehousing environments. |
Ano de publicação: |
2023 |
Fonte/Imprenta: |
Heliyon, v. 9, n. 5, e15728, may 2023. |
Páginas: |
25 p. |
DOI: |
https://doi.org/10.1016/j.heliyon.2023.e15728 |
Idioma: |
Inglês |
Conteúdo: |
Nowadays, organizations are very interested to gather data for strategic decision-making. Data are disposable in operational sources, which are distributed, heterogeneous, and autonomous. These data are gathered through ETL processes, which occur traditionally in a pre-defined time, that is, once a day, once a week, once a month or in a specific period of time. On the other hand, there are special applications for which data needs to be obtained in a faster way and sometimes even immediately after the data are generated in the operation data sources, such as health systems and digital agriculture. Thus, the conventional ETL process and the disposable techniques are incapable of making the operational data delivered in real-time, providing low latency, high availability, and scalability. As our proposal, we present an innovative architecture, named Data Magnet, to cope with real-time ETL processes. The experimental tests performed in the digital agriculture domain using real and synthetic data showed that our proposal was able to deal in real-time with the ETL process. The Data Magnet provided great performance, showing an almost constant elapsed time for growing data volumes. Besides, Data Magnet provided significant performance gains over the traditional trigger technique. |
Palavras-Chave: |
Data extraction; Data loading; Data warehouse; ETL; Real time. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1153634/1/NonIntrusiveReactive.pdf
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Marc: |
LEADER 02051naa a2200253 a 4500 001 2153634 005 2023-05-10 008 2023 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1016/j.heliyon.2023.e15728$2DOI 100 1 $aVILELA, F. DE A. 245 $aA non-intrusive and reactive architecture to support real-time ETL processes in data warehousing environments.$h[electronic resource] 260 $c2023 300 $a25 p. 520 $aNowadays, organizations are very interested to gather data for strategic decision-making. Data are disposable in operational sources, which are distributed, heterogeneous, and autonomous. These data are gathered through ETL processes, which occur traditionally in a pre-defined time, that is, once a day, once a week, once a month or in a specific period of time. On the other hand, there are special applications for which data needs to be obtained in a faster way and sometimes even immediately after the data are generated in the operation data sources, such as health systems and digital agriculture. Thus, the conventional ETL process and the disposable techniques are incapable of making the operational data delivered in real-time, providing low latency, high availability, and scalability. As our proposal, we present an innovative architecture, named Data Magnet, to cope with real-time ETL processes. The experimental tests performed in the digital agriculture domain using real and synthetic data showed that our proposal was able to deal in real-time with the ETL process. The Data Magnet provided great performance, showing an almost constant elapsed time for growing data volumes. Besides, Data Magnet provided significant performance gains over the traditional trigger technique. 653 $aData extraction 653 $aData loading 653 $aData warehouse 653 $aETL 653 $aReal time 700 1 $aTIMES, V. C. 700 1 $aBERNARDI, A. C. de C. 700 1 $aFREITAS, A. DE P. 700 1 $aCIFERRI, R. R. 773 $tHeliyon$gv. 9, n. 5, e15728, may 2023.
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Embrapa Pecuária Sudeste (CPPSE) |
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