Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Omogbai Oleghe"'
Autor:
Omogbai Oleghe
Publikováno v:
IEEE Access, Vol 9, Pp 68028-68043 (2021)
Containers are a form of software virtualization, rapidly becoming the de facto way of providing edge computing services. Research on container-based edge computing is plentiful, and this has been buoyed by the increasing demand for single digit, mil
Externí odkaz:
https://doaj.org/article/de62b51e2143475fab8c0a4bf14f70f0
Autor:
Omogbai Oleghe
Publikováno v:
Journal of Big Data, Vol 7, Iss 1, Pp 1-27 (2020)
Abstract In manufacturing processes, datasets intended for data driven decisions are majorly generated from time-sequenced sensor readings. Industrial sensor systems are prone to transmit inaccurate readings, which result in noisy datasets. Noisy dat
Externí odkaz:
https://doaj.org/article/7ce0e5e900804c7f9ecf165372c1dadf
Publikováno v:
In Procedia CIRP 2017 60:380-385
Publikováno v:
In Procedia CIRP 2016 57:195-200
Publikováno v:
In Procedia CIRP 2016 50:106-111
Publikováno v:
Advances in Transdisciplinary Engineering ISBN: 9781643683300
In a complex manufacturing system such as the multistage manufacturing system, maintaining the quality of the products becomes a challenging task. It is due to the interconnectivity and dependency of factors that can affect the final product. With th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b1d98490ebb976dce438c1040a1f686
https://dspace.lib.cranfield.ac.uk/handle/1826/18714
https://dspace.lib.cranfield.ac.uk/handle/1826/18714
With the vast amount of data available, and its increasing complexity in manufacturing processes, traditional statistical approaches have started to fall short. This is where machine learning plays a key role, addressing the challenges by bringing th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b3d64f412245c3daba0d32d852e9eef
https://dspace.lib.cranfield.ac.uk/handle/1826/17067
https://dspace.lib.cranfield.ac.uk/handle/1826/17067
Autor:
Omogbai Oleghe
Publikováno v:
Journal of Modelling in Management. 15:623-645
Purpose This study aims to describe in detail, a system dynamics-based study that was used to show how a large vertically integrated aquaculture company should approach its stepwise capacity expansion program, without undermining its financial perfor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::340c90b11dc573995099cfdd2db113da
https://doi.org/10.1108/jm2-05-2019-0100
https://doi.org/10.1108/jm2-05-2019-0100
Autor:
Konstantinos Salonitis, Omogbai Oleghe
Publikováno v:
Journal of Quality in Maintenance Engineering. 25:476-498
Purpose The purpose of this paper is to promote a system dynamics-discrete event simulation (SD-DES) hybrid modelling framework, one that is useful for investigating problems comprising multifaceted elements which interact and evolve over time, such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22d96e137ef9c22ec598d70cd4ff2dc2
https://doi.org/10.1108/jqme-06-2018-0056
https://doi.org/10.1108/jqme-06-2018-0056
Controller-based IIoT infrastructure and enabling technologies: An overview for design configuration
Autor:
Omogbai Oleghe
Publikováno v:
ICPS
This article presents an overarching overview of controller-based Industrial Internet of Things (IIoT) infrastructures, with emphasis on the prevalent enabling technologies. Through a critical analysis, the study is used to reveal the determinants fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::528d38b57e802056acc0672aaf3f74bc
https://doi.org/10.1109/icps49255.2021.9468173
https://doi.org/10.1109/icps49255.2021.9468173