Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Juan Carlos Duenas Lopez"'
Publikováno v:
IEEE Access, Vol 6, Pp 58307-58323 (2018)
Failure prediction is a key component of modern autonomic systems. A crucial decision to take when performing it is which observation window to use, this is, to decide the time period in the past that will be taken into account in order to accurately
Externí odkaz:
https://doaj.org/article/f694b6ad265e43c2848ca2e5916df45e
Publikováno v:
2021 International Young Engineers Forum (YEF-ECE).
This article describes the implementation of a new approach in 3D bin packing optimization and tests its performance in different scenarios. It takes into consideration most of the real constraints a logistics company may face when loading cargo and
Publikováno v:
IEEE Access, Vol 6, Pp 58307-58323 (2018)
Failure prediction is a key component of modern autonomic systems. A crucial decision to take when performing it is which observation window to use, this is, to decide the time period in the past that will be taken into account in order to accurately
Autor:
A G Hugo Parada, Jose Manuel Navarro Gonzalez, Juan Carlos Duenas Lopez, Javier Andion Jimenez
Publikováno v:
IEEE Communications Magazine. 55:126-131
Root cause analysis includes the methods to identify the sources of errors in a network. Most techniques rely on knowledge models of the system, which are usually built by using network operators' expertise. This presents problems related to knowledg
Autor:
Jose Manuel Navarro Gonzalez, Juan Carlos Duenas Lopez, Manuel Álvarez-Campana Fernández-Corredor, Javier Andion Jimenez
Publikováno v:
Actas de las XIII Jornadas de Ingeniería Telemática (JITEL 2017) | XIII Jornadas de Ingeniería Telemática (JITEL 2017) | 27/09/2017-29/09/2017 | Valencia, España
Archivo Digital UPM
instname
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Archivo Digital UPM
instname
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Infrastructure usage discovery, positioning and analysis of behaviors of its users, usually requires a collection of accurate and frequent positioning data. This paper shows how a network of inexpensive and non-intrusive sensors can serve to perform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d4158eec9336d4f06357a1d1e2ddf8b
https://oa.upm.es/50018/
https://oa.upm.es/50018/