Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Adrian Navarro"'
Autor:
Adrian Navarro-Diaz, Jorge A. Delgado-Aguinaga, Ildeberto Santos-Ruiz, Juan D. Sanchez-Torres
Publikováno v:
IEEE Access, Vol 12, Pp 62162-62176 (2024)
The current study addresses the problem of leak detection and isolation (LDI) in a branched pipeline system. The detection process employs a mass balance approach following mass conservation principles. The leak isolation algorithm is activated upon
Externí odkaz:
https://doaj.org/article/6538e618c214404abc959beb3cd0fb2d
We consider the problem of determining the arrival statistics of unbiased planar random walkers to complex target configurations. In contrast to problems posed in finite domains, simple moments of the distribution, such as the mean (MFPT) and varianc
Externí odkaz:
http://arxiv.org/abs/2112.06842
Publikováno v:
In Biophysical Journal June 2023
Akademický článek
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Autor:
María Jose Checa, Jesús Estrada, Francisco Lario, Adrian Navarro, Asunción Roldán, Laura Luquero
Publikováno v:
Big Data in Bioeconomy ISBN: 9783030710682
In this chapter, we present the technological background needed for understanding the problem addressed by this DataBio pilot. Spain has to face plagues and diseases affecting forest species, like Quercus ilex, Quercus suber or Eucaliptus sp. Consequ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2a2122899dd9f3f25229d706aa32bce
https://doi.org/10.1007/978-3-030-71069-9_25
https://doi.org/10.1007/978-3-030-71069-9_25
Akademický článek
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Publikováno v:
2019 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC).
In this paper, the one leak isolation problem in a water pipeline is tackled using a Time Delay Neural Network. This scheme comes as an alternative to achieve better computing performance since the classical model-based methods usually have high work
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf3bd084b37254ebddb967e072fcfa7b
https://doi.org/10.1109/ropec48299.2019.9057112
https://doi.org/10.1109/ropec48299.2019.9057112
Self-localization and positioning vehicle navigation system based on computer vision and PID control
Autor:
Adrian Navarro-Carranza, Miguel Mora-González, Christian Quintanar-Sotelo, Jorge A. de la Cruz Morales, Ernesto Bernal-Ortega, Alan J. Romo-Munoz, R. Sevilla-Escoboza
Publikováno v:
2019 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC).
In this work a control system is presented for the autonomous navigation of vehicles using a monocular vision system to detect reference patterns in a controlled environment. This control system is based on the data extraction from the vision system
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::594ebbd98dddb549f398e45a46c18579
https://doi.org/10.1109/ropec48299.2019.9057077
https://doi.org/10.1109/ropec48299.2019.9057077
Publikováno v:
Asian Journal of Control. 19:255-265
This paper presents a leak isolation methodology using a fitting loss coefficient calibration. Two stages are considered for this purpose: First, the equivalent straight length ESL is fixed by an model-base observer designed as an extended Kalman fil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c0d80d27ad5f16546445eb4431014b4
https://doi.org/10.1002/asjc.1362
https://doi.org/10.1002/asjc.1362