Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Francisco P. Maturana"'
Publikováno v:
Journal of Big Data, Vol 5, Iss 1, Pp 1-31 (2018)
Abstract In manufacturing, the technology to capture and store large volumes of data developed earlier and faster than corresponding capabilities to analyze, interpret, and apply it. The result for many manufacturers is a collection of unanalyzed dat
Externí odkaz:
https://doaj.org/article/791858582c574e43b407a27c7e2a0bf7
Publikováno v:
Applied Sciences, Vol 9, Iss 5, p 843 (2019)
The broad context of this literature review is the connected manufacturing enterprise, characterized by a data environment such that the size, structure and variety of information strain the capability of traditional software and database tools to ef
Externí odkaz:
https://doaj.org/article/f1bd7e6930f649c3a6f30df0db13f7a1
Autor:
Francisco Vidal Maturana, Noé Gajardo Cid, Pablo Merino-Muñoz, Felipe Hermosilla-Palma, Pablo Valdés-Badilla, Tomás Herrera-Valenzuela
Publikováno v:
Sport TK, Vol 13 (2024)
El objetivo de este estudio fue relacionar variables del salto con contramovimiento (SCM) y tirón isométrico de medio muslo (TIMM) con el rendimiento de la capacidad de repetir sprint (CRS) en futbolistas profesionales y determinar las diferencias
Externí odkaz:
https://doaj.org/article/dce7dacb641449bf8e73d2fc0d3963c2
Publikováno v:
Applied Computational Intelligence and Soft Computing, Vol 2014 (2014)
A novel idea to combine agent technology and cloud computing for monitoring a plant floor system is presented. Cloud infrastructure has been leveraged as the main mechanism for hosting the data and processing needs of a modern industrial information
Externí odkaz:
https://doaj.org/article/74e3c43fbe014e8eb90827de1bf622d0
Publikováno v:
Journal of Manufacturing Systems. 62:925-938
Different formalisms and modeling frameworks have been developed to capture the discrete behavior of manufacturing systems. However a purely discrete model does not capture the continuous variables of machine-level operation. Previous research in mod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af53cd1893c7e30cdb20ddc8344b5113
https://doi.org/10.1016/j.jmsy.2021.03.011
https://doi.org/10.1016/j.jmsy.2021.03.011
Autor:
Francisco P. Maturana, Eugene Liberman
Publikováno v:
Factory Automation
Control system level agent technology is a powerful environment that fosters cooperation of control level applications (agents) to solve a set of complex problems not easily solved with a standard control system programming such as ladder code, funct
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e5784110c6c840bcf3a63615005fc7a
http://www.intechopen.com/articles/show/title/the-role-of-business-to-control-agents-in-next-generation-automation-enterprise-systems
http://www.intechopen.com/articles/show/title/the-role-of-business-to-control-agents-in-next-generation-automation-enterprise-systems
Publikováno v:
SN Applied Sciences. 2
This research presents an exploratory data analytics case study in defect prediction on printed circuit boards (PCB) employing ball grid array (BGA) package types during assembly. BGA package types are of interest because defects are difficult to ide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df331359939dbda6ee8fb115ad627b90
https://doi.org/10.1007/s42452-019-1924-z
https://doi.org/10.1007/s42452-019-1924-z
Publikováno v:
IEEE Transactions on Automation Science and Engineering. 15:1735-1748
This paper introduces a framework to assess the performance of manufacturing systems using hybrid simulation in real time. Continuous and discrete variables of different machines are monitored to analyze performance using a virtual environment runnin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d33e5728cb56b3b466e1deca633c7bb
https://doi.org/10.1109/tase.2017.2784826
https://doi.org/10.1109/tase.2017.2784826
Publikováno v:
International Journal of Production Research. 55:6254-6265
Efficiency and quality are major factors contributing to profits in manufacturing systems. Production downtime occurs during commissioning of a new system, adoption of new processes, system faults, or (un)planned maintenance; all of which result in r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34388c97dd4f263bc994d9cb07dbb541
https://doi.org/10.1080/00207543.2017.1334974
https://doi.org/10.1080/00207543.2017.1334974
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030278779
HoloMAS
HoloMAS
Industry 4.0 capabilities have enabled manufacturers to collect and analyze smart manufacturing data across a broad array of diverse domains including but not limited to scheduling, production, maintenance, process, and quality. This development nece
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc0a89157d4202ff6a0c8aa8450b4fc6
https://doi.org/10.1007/978-3-030-27878-6_8
https://doi.org/10.1007/978-3-030-27878-6_8