ReP USP - Resultado da busca

Artigo de periodico
Identification of CO2 and O2 emissions dynamics in a natural gas furnace through flame images, ARMAX models, and Kalman filtering (2021)
Silva Neto, Gustavo Cunha da Silva ; Chui, Danilo de Santana ; Martins, Flavius Portella Ribas ; Fleury, Agenor de Toledo ; Furnari, Fausto
Source: Journal of the Brazilian Society of Mechanical Sciences and Engineering. Unidade: EP
Subjects: COMBUSTÃO, FILTROS DE KALMAN, PROCESSAMENTO DE IMAGENS
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ABNT
SILVA NETO, Gustavo Cunha da Silva et al. Identification of CO2 and O2 emissions dynamics in a natural gas furnace through flame images, ARMAX models, and Kalman filtering. Journal of the Brazilian Society of Mechanical Sciences and Engineering, v. 43, p. 1-13, 2021Tradução . . Disponível em: https://doi.org/10.1007/s40430-021-02967-w. Acesso em: 01 nov. 2024.
APA
Silva Neto, G. C. da S., Chui, D. de S., Martins, F. P. R., Fleury, A. de T., & Furnari, F. (2021). Identification of CO2 and O2 emissions dynamics in a natural gas furnace through flame images, ARMAX models, and Kalman filtering. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 43, 1-13. doi:10.1007/s40430-021-02967-w
NLM
Silva Neto GC da S, Chui D de S, Martins FPR, Fleury A de T, Furnari F. Identification of CO2 and O2 emissions dynamics in a natural gas furnace through flame images, ARMAX models, and Kalman filtering [Internet]. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 2021 ; 43 1-13.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/s40430-021-02967-w
Vancouver
Silva Neto GC da S, Chui D de S, Martins FPR, Fleury A de T, Furnari F. Identification of CO2 and O2 emissions dynamics in a natural gas furnace through flame images, ARMAX models, and Kalman filtering [Internet]. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 2021 ; 43 1-13.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/s40430-021-02967-w
Artigo de periodico
Identification of a scaled-model riser dynamics through a combined computer vision and adaptive Kalman filter approach (2014)
Trigo, Flávio Celso ; Martins, Flavius Portella Ribas ; Fleury, Agenor de Toledo ; Silva Junior, Helio Correa da
Source: Mechanical Systems and Signal Processing. Unidade: EP
Subjects: FILTROS DE KALMAN, VISÃO COMPUTACIONAL, TUBOS FLEXÍVEIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TRIGO, Flávio Celso et al. Identification of a scaled-model riser dynamics through a combined computer vision and adaptive Kalman filter approach. Mechanical Systems and Signal Processing, v. 43, n. 1/2 p. 124-140, 2014Tradução . . Disponível em: http://ac.els-cdn.com/S0888327013005086/1-s2.0-S0888327013005086-main.pdf?_tid=99b123f6-6e78-11e4-9c44-00000aacb362&acdnat=1416242678_8edb2b93efaf957d6356cd12da75ea2d. Acesso em: 01 nov. 2024.
APA
Trigo, F. C., Martins, F. P. R., Fleury, A. de T., & Silva Junior, H. C. da. (2014). Identification of a scaled-model riser dynamics through a combined computer vision and adaptive Kalman filter approach. Mechanical Systems and Signal Processing, 43( 1/2 p. 124-140). doi:10.1016/j.ymssp.2014.01.001
NLM
Trigo FC, Martins FPR, Fleury A de T, Silva Junior HC da. Identification of a scaled-model riser dynamics through a combined computer vision and adaptive Kalman filter approach [Internet]. Mechanical Systems and Signal Processing. 2014 ; 43( 1/2 p. 124-140):[citado 2024 nov. 01 ] Available from: http://ac.els-cdn.com/S0888327013005086/1-s2.0-S0888327013005086-main.pdf?_tid=99b123f6-6e78-11e4-9c44-00000aacb362&acdnat=1416242678_8edb2b93efaf957d6356cd12da75ea2d
Vancouver
Trigo FC, Martins FPR, Fleury A de T, Silva Junior HC da. Identification of a scaled-model riser dynamics through a combined computer vision and adaptive Kalman filter approach [Internet]. Mechanical Systems and Signal Processing. 2014 ; 43( 1/2 p. 124-140):[citado 2024 nov. 01 ] Available from: http://ac.els-cdn.com/S0888327013005086/1-s2.0-S0888327013005086-main.pdf?_tid=99b123f6-6e78-11e4-9c44-00000aacb362&acdnat=1416242678_8edb2b93efaf957d6356cd12da75ea2d
Trabalho de evento
Vehicle tracking using feature matching and Kalman filtering (2013)
Mantripragada, Kiran ; Trigo, Flávio Celso ; Martins, Flavius Portella Ribas ; Fleury, Agenor de Toledo
Source: Anais. Conference titles: International Congress of Mechanical Engineering - COBEM. Unidade: EP
Subjects: RASTREAMENTO, VEÍCULOS, FILTROS DE KALMAN
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MANTRIPRAGADA, Kiran et al. Vehicle tracking using feature matching and Kalman filtering. 2013, Anais.. Rio de Janeiro: ABCM, 2013. Disponível em: https://repositorio.usp.br/directbitstream/0b948878-8233-4698-b620-9929b0e10e6b/Trigo-2013-Vehicle%20tracking%20using%20feature%20matching%20ok.pdf. Acesso em: 01 nov. 2024.
APA
Mantripragada, K., Trigo, F. C., Martins, F. P. R., & Fleury, A. de T. (2013). Vehicle tracking using feature matching and Kalman filtering. In Anais. Rio de Janeiro: ABCM. Recuperado de https://repositorio.usp.br/directbitstream/0b948878-8233-4698-b620-9929b0e10e6b/Trigo-2013-Vehicle%20tracking%20using%20feature%20matching%20ok.pdf
NLM
Mantripragada K, Trigo FC, Martins FPR, Fleury A de T. Vehicle tracking using feature matching and Kalman filtering [Internet]. Anais. 2013 ;[citado 2024 nov. 01 ] Available from: https://repositorio.usp.br/directbitstream/0b948878-8233-4698-b620-9929b0e10e6b/Trigo-2013-Vehicle%20tracking%20using%20feature%20matching%20ok.pdf
Vancouver
Mantripragada K, Trigo FC, Martins FPR, Fleury A de T. Vehicle tracking using feature matching and Kalman filtering [Internet]. Anais. 2013 ;[citado 2024 nov. 01 ] Available from: https://repositorio.usp.br/directbitstream/0b948878-8233-4698-b620-9929b0e10e6b/Trigo-2013-Vehicle%20tracking%20using%20feature%20matching%20ok.pdf
Artigo de periodico
A new approach based on computer vision and non-linear kalman filtering to monitor the nebulization quality of oil flames (2013)
Fleury, Agenor de Toledo ; Trigo, Flávio Celso ; Martins, Flavius Portella Ribas
Source: Expert Systems with Applications. Unidade: EP
Subjects: FILTROS DE KALMAN, LÓGICA FUZZY, VISÃO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FLEURY, Agenor de Toledo e TRIGO, Flávio Celso e MARTINS, Flavius Portella Ribas. A new approach based on computer vision and non-linear kalman filtering to monitor the nebulization quality of oil flames. Expert Systems with Applications, v. 40, n. 12, p. 4760\20134769, 2013Tradução . . Disponível em: http://www.sciencedirect.com/science/article/pii/S0957417413001243. Acesso em: 01 nov. 2024.
APA
Fleury, A. de T., Trigo, F. C., & Martins, F. P. R. (2013). A new approach based on computer vision and non-linear kalman filtering to monitor the nebulization quality of oil flames. Expert Systems with Applications, 40( 12), 4760\20134769. doi:10.1016/j.eswa.2013.02.008
NLM
Fleury A de T, Trigo FC, Martins FPR. A new approach based on computer vision and non-linear kalman filtering to monitor the nebulization quality of oil flames [Internet]. Expert Systems with Applications. 2013 ; 40( 12): 4760\20134769.[citado 2024 nov. 01 ] Available from: http://www.sciencedirect.com/science/article/pii/S0957417413001243
Vancouver
Fleury A de T, Trigo FC, Martins FPR. A new approach based on computer vision and non-linear kalman filtering to monitor the nebulization quality of oil flames [Internet]. Expert Systems with Applications. 2013 ; 40( 12): 4760\20134769.[citado 2024 nov. 01 ] Available from: http://www.sciencedirect.com/science/article/pii/S0957417413001243
Trabalho de evento
Application of a computer vision method and a kalman filter to identify the kinematics and the dynamics of a scaled-model riser (2011)
Martins, Flavius Portella Ribas ; Trigo, Flávio Celso ; Silva Junior, Helio Correa da ; Fleury, Agenor de Toledo
Source: Proceedings DINAME. Conference titles: International Symposium on Dynamic Problems of Mechanics. Unidade: EP
Subjects: FILTROS DE KALMAN, TUBOS FLEXÍVEIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MARTINS, Flavius Portella Ribas et al. Application of a computer vision method and a kalman filter to identify the kinematics and the dynamics of a scaled-model riser. 2011, Anais.. São Sebastião: Escola Politécnica, Universidade de São Paulo, 2011. Disponível em: https://repositorio.usp.br/directbitstream/39301a0c-ff61-4c83-8742-cf5992c9d8b1/Trigo-2011-application%20of%20a%20computer%20vision%20ok.pdf. Acesso em: 01 nov. 2024.
APA
Martins, F. P. R., Trigo, F. C., Silva Junior, H. C. da, & Fleury, A. de T. (2011). Application of a computer vision method and a kalman filter to identify the kinematics and the dynamics of a scaled-model riser. In Proceedings DINAME. São Sebastião: Escola Politécnica, Universidade de São Paulo. Recuperado de https://repositorio.usp.br/directbitstream/39301a0c-ff61-4c83-8742-cf5992c9d8b1/Trigo-2011-application%20of%20a%20computer%20vision%20ok.pdf
NLM
Martins FPR, Trigo FC, Silva Junior HC da, Fleury A de T. Application of a computer vision method and a kalman filter to identify the kinematics and the dynamics of a scaled-model riser [Internet]. Proceedings DINAME. 2011 ;[citado 2024 nov. 01 ] Available from: https://repositorio.usp.br/directbitstream/39301a0c-ff61-4c83-8742-cf5992c9d8b1/Trigo-2011-application%20of%20a%20computer%20vision%20ok.pdf
Vancouver
Martins FPR, Trigo FC, Silva Junior HC da, Fleury A de T. Application of a computer vision method and a kalman filter to identify the kinematics and the dynamics of a scaled-model riser [Internet]. Proceedings DINAME. 2011 ;[citado 2024 nov. 01 ] Available from: https://repositorio.usp.br/directbitstream/39301a0c-ff61-4c83-8742-cf5992c9d8b1/Trigo-2011-application%20of%20a%20computer%20vision%20ok.pdf
Parte de monografia/livro
Aplication of computer vision and Kalman filtering techniques to identify oil flames nebulization quality (2010)
Fleury, Agenor de Toledo ; Trigo, Flávio Celso ; Martins, Flavius Portella Ribas
Source: ABCM Symposium Series in Mechatronics. Conference titles: International Congress of Mechanical Engineering. Unidade: EP
Subjects: FILTROS DE KALMAN, VISÃO COMPUTACIONAL, COMBUSTÃO, REFINARIAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FLEURY, Agenor de Toledo e TRIGO, Flávio Celso e MARTINS, Flavius Portella Ribas. Aplication of computer vision and Kalman filtering techniques to identify oil flames nebulization quality. ABCM Symposium Series in Mechatronics. Tradução . Rio De Janeiro: ABCM, 2010. . Disponível em: https://repositorio.usp.br/directbitstream/6bda3ab7-023e-473a-8b55-209a277f411a/Trigo-2010-Application%20of%20computer%20vision%20and%20kalman%20filtering%20ok.pdf. Acesso em: 01 nov. 2024.
APA
Fleury, A. de T., Trigo, F. C., & Martins, F. P. R. (2010). Aplication of computer vision and Kalman filtering techniques to identify oil flames nebulization quality. In ABCM Symposium Series in Mechatronics. Rio De Janeiro: ABCM. Recuperado de https://repositorio.usp.br/directbitstream/6bda3ab7-023e-473a-8b55-209a277f411a/Trigo-2010-Application%20of%20computer%20vision%20and%20kalman%20filtering%20ok.pdf
NLM
Fleury A de T, Trigo FC, Martins FPR. Aplication of computer vision and Kalman filtering techniques to identify oil flames nebulization quality [Internet]. In: ABCM Symposium Series in Mechatronics. Rio De Janeiro: ABCM; 2010. [citado 2024 nov. 01 ] Available from: https://repositorio.usp.br/directbitstream/6bda3ab7-023e-473a-8b55-209a277f411a/Trigo-2010-Application%20of%20computer%20vision%20and%20kalman%20filtering%20ok.pdf
Vancouver
Fleury A de T, Trigo FC, Martins FPR. Aplication of computer vision and Kalman filtering techniques to identify oil flames nebulization quality [Internet]. In: ABCM Symposium Series in Mechatronics. Rio De Janeiro: ABCM; 2010. [citado 2024 nov. 01 ] Available from: https://repositorio.usp.br/directbitstream/6bda3ab7-023e-473a-8b55-209a277f411a/Trigo-2010-Application%20of%20computer%20vision%20and%20kalman%20filtering%20ok.pdf
Trabalho de evento
Identificação da qualidade de nebulização de chamas de óleo em fornos de refino utilizando técnicas de visão computacional e filtro de kalman (2010)
Fleury, Agenor de Toledo ; Trigo, Flávio Celso ; Martins, Flavius Portella Ribas
Source: Anais. Conference titles: Congresso Brasileiro de Automática - CBA. Unidade: EP
Subjects: FILTROS DE KALMAN, VISÃO COMPUTACIONAL, LÓGICA FUZZY, COMBUSTÃO (PROCESSOS)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FLEURY, Agenor de Toledo e TRIGO, Flávio Celso e MARTINS, Flavius Portella Ribas. Identificação da qualidade de nebulização de chamas de óleo em fornos de refino utilizando técnicas de visão computacional e filtro de kalman. 2010, Anais.. Bonito: Escola Politécnica, Universidade de São Paulo, 2010. Disponível em: https://repositorio.usp.br/directbitstream/425fffb1-0592-4c72-943a-740cd591df78/Martins-2010-Identifica%C3%A7%C3%A3o%20da%20qualidade%20de%20nebuliza%C3%A7%C3%A3o%20de%20chamas%20de%20oleo%20ok.pdf. Acesso em: 01 nov. 2024.
APA
Fleury, A. de T., Trigo, F. C., & Martins, F. P. R. (2010). Identificação da qualidade de nebulização de chamas de óleo em fornos de refino utilizando técnicas de visão computacional e filtro de kalman. In Anais. Bonito: Escola Politécnica, Universidade de São Paulo. Recuperado de https://repositorio.usp.br/directbitstream/425fffb1-0592-4c72-943a-740cd591df78/Martins-2010-Identifica%C3%A7%C3%A3o%20da%20qualidade%20de%20nebuliza%C3%A7%C3%A3o%20de%20chamas%20de%20oleo%20ok.pdf
NLM
Fleury A de T, Trigo FC, Martins FPR. Identificação da qualidade de nebulização de chamas de óleo em fornos de refino utilizando técnicas de visão computacional e filtro de kalman [Internet]. Anais. 2010 ;[citado 2024 nov. 01 ] Available from: https://repositorio.usp.br/directbitstream/425fffb1-0592-4c72-943a-740cd591df78/Martins-2010-Identifica%C3%A7%C3%A3o%20da%20qualidade%20de%20nebuliza%C3%A7%C3%A3o%20de%20chamas%20de%20oleo%20ok.pdf
Vancouver
Fleury A de T, Trigo FC, Martins FPR. Identificação da qualidade de nebulização de chamas de óleo em fornos de refino utilizando técnicas de visão computacional e filtro de kalman [Internet]. Anais. 2010 ;[citado 2024 nov. 01 ] Available from: https://repositorio.usp.br/directbitstream/425fffb1-0592-4c72-943a-740cd591df78/Martins-2010-Identifica%C3%A7%C3%A3o%20da%20qualidade%20de%20nebuliza%C3%A7%C3%A3o%20de%20chamas%20de%20oleo%20ok.pdf
Trabalho de evento
Application of computer vision and Kalman filtering technniques to identifity oil flames nebulization quality (2009)
Fleury, Agenor de Toledo ; Trigo, Flávio Celso ; Martins, Flavius Portella Ribas
Source: Proceedings of COBEM. Conference titles: International Congress of Mechanical Engineering. Unidade: EP
Subjects: FILTROS DE KALMAN, LÓGICA FUZZY, VISÃO COMPUTACIONAL, COMBUSTÃO (PROCESSOS)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FLEURY, Agenor de Toledo e TRIGO, Flávio Celso e MARTINS, Flavius Portella Ribas. Application of computer vision and Kalman filtering technniques to identifity oil flames nebulization quality. 2009, Anais.. Rio de Janeiro: ABCM, 2009. Disponível em: https://repositorio.usp.br/directbitstream/b2e29289-83bc-4954-aa19-15bac114e3f4/Martins_F-2009-Application%20of%20a%20computer%20vision%20method%20and%20a%20kalman%20filter%20to%20identify.pdf. Acesso em: 01 nov. 2024.
APA
Fleury, A. de T., Trigo, F. C., & Martins, F. P. R. (2009). Application of computer vision and Kalman filtering technniques to identifity oil flames nebulization quality. In Proceedings of COBEM. Rio de Janeiro: ABCM. Recuperado de https://repositorio.usp.br/directbitstream/b2e29289-83bc-4954-aa19-15bac114e3f4/Martins_F-2009-Application%20of%20a%20computer%20vision%20method%20and%20a%20kalman%20filter%20to%20identify.pdf
NLM
Fleury A de T, Trigo FC, Martins FPR. Application of computer vision and Kalman filtering technniques to identifity oil flames nebulization quality [Internet]. Proceedings of COBEM. 2009 ;[citado 2024 nov. 01 ] Available from: https://repositorio.usp.br/directbitstream/b2e29289-83bc-4954-aa19-15bac114e3f4/Martins_F-2009-Application%20of%20a%20computer%20vision%20method%20and%20a%20kalman%20filter%20to%20identify.pdf
Vancouver
Fleury A de T, Trigo FC, Martins FPR. Application of computer vision and Kalman filtering technniques to identifity oil flames nebulization quality [Internet]. Proceedings of COBEM. 2009 ;[citado 2024 nov. 01 ] Available from: https://repositorio.usp.br/directbitstream/b2e29289-83bc-4954-aa19-15bac114e3f4/Martins_F-2009-Application%20of%20a%20computer%20vision%20method%20and%20a%20kalman%20filter%20to%20identify.pdf

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