Zobrazeno 1 - 10
of 82
pro vyhledávání: '"Propagation of uncertainties"'
Publikováno v:
Electricity, Vol 2, Iss 3, Pp 300-315 (2021)
This paper presents a study and proposes a new methodology to analyze, evaluate and reduce the overall uncertainty of instrumentations for EMC measurements. For the scope of this work, the front end of a commercial EMI receiver is chosen and variatio
Externí odkaz:
https://doaj.org/article/0b980dce835e437e9a652f9247a5ffe6
Akademický článek
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Akademický článek
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Publikováno v:
Electricity
Volume 2
Issue 3
Pages 18-315
Electricity, Vol 2, Iss 18, Pp 300-315 (2021)
Volume 2
Issue 3
Pages 18-315
Electricity, Vol 2, Iss 18, Pp 300-315 (2021)
This paper presents a study and proposes a new methodology to analyze, evaluate and reduce the overall uncertainty of instrumentations for EMC measurements. For the scope of this work, the front end of a commercial EMI receiver is chosen and variatio
Autor:
Pavlack, Bruna Silveira
Publikováno v:
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Submitted by Bruna Silveira Pavlack (bruna.pavlack@unesp.br) on 2022-07-30T13:12:12Z No. of bitstreams: 1 pavlack_bs_dr_ilha.pdf: 19557471 bytes, checksum: 66071d09437ab47a8aa5605ccbcdb5d3 (MD5) Approved for entry into archive by Joao Josue Barbosa (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::8abffd9c8f4dd9e4eb3f83bbe5e3a864
This document focuses on the errors and uncertainties of quantity estimation algorithms and propagation of uncertainties through algorithms. It provides description of basic problems, shows several examples and discussion on properties of selected al
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e2a3834779ace405806aa6a7a75d195
Autor:
Raqueti, Rafael da Silva
Publikováno v:
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Submitted by Rafael da Silva Raqueti (rafael.raqueti@unesp.br) on 2022-07-12T22:58:12Z No. of bitstreams: 1 Dissertação de Mestrado - Rafael da Silva Raqueti.pdf: 5466254 bytes, checksum: 503e78477759dbd7b70e54880526dce1 (MD5) Approved for entry in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::2f274dd8db142a7a0687fd95d55909b5
Autor:
Siqueira, Antonio Marcos de Oliveira, Khechekhouche, Abderrahmane, Campos, Júlio Cesar Costa, Silva, Gabriel Siqueira, Cruz, Marlons Lino da
Publikováno v:
The Journal of Engineering and Exact Sciences; Vol. 8 No. 5 (2022); 14140-01e
The Journal of Engineering and Exact Sciences; Vol. 8 Núm. 5 (2022); 14140-01e
The Journal of Engineering and Exact Sciences; v. 8 n. 5 (2022); 14140-01e
The Journal of Engineering and Exact Sciences
Universidade Federal de Viçosa (UFV)
instacron:UFV
The Journal of Engineering and Exact Sciences; Vol. 8 Núm. 5 (2022); 14140-01e
The Journal of Engineering and Exact Sciences; v. 8 n. 5 (2022); 14140-01e
The Journal of Engineering and Exact Sciences
Universidade Federal de Viçosa (UFV)
instacron:UFV
This work aimed to contribute to studies on the elaboration and implementation of proposals for didactic activity based on an investigative experiment. The work describes an experiment for academic purposes to determine the specific mass and dynamic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::eca7fe9b409913f2ae6427afb35578f2
https://periodicos.ufv.br/jcec/article/view/14140
https://periodicos.ufv.br/jcec/article/view/14140
Publikováno v:
Scopus
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Made available in DSpace on 2022-04-29T08:41:21Z (GMT). No. of bitstreams: 0 Previous issue date: 2022-02-01 This article demonstrates the Gaussian process regression model's applicability combined with a nonlinear autoregressive exogenous (NARX) fra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16f1b452ddf13cda452320d657e190b7
Publikováno v:
Brazilian Archives of Biology and Technology, Vol 49, Iss spe, Pp 87-96 (2006)
In this study two methods of evaluation of uncertainty, the law of propagation of uncertainties (as recommended by GUM) and the method of Monte Carlo, are compared. As a particular case the determination of the density of moist air was considered The
Externí odkaz:
https://doaj.org/article/6ad3e8d57847475c8f093ea0527807dc