Zobrazeno 1 - 10
of 75
pro vyhledávání: '"self-organising feature maps"'
Autor:
Syed Adnan Yusuf, Abdulrahman A. Alshdadi, Rayed Alghamdi, Madini O. Alassafi, David J. Garrity
Publikováno v:
IEEE Access, Vol 8, Pp 98281-98294 (2020)
This work presents an artificial neural network-based linearly regressive technique for the prediction of a temperature rise event caused by a fire in enclosed building environments. The method predicts temperature range in a burning compartment base
Externí odkaz:
https://doaj.org/article/d41600ada328414f896f061a96432bc6
Autor:
Brook W. Abegaz
Publikováno v:
The Journal of Engineering (2020)
This study presents the implementation of a new unsupervised machine learning based system called a buck converter controller using unsupervised machine learning (ABCML) to control the operation of a type of switching voltage regulators, commonly cal
Externí odkaz:
https://doaj.org/article/8d073745e43a45849aab6551529eb5a9
Autor:
Farzad Darbandi, Amirreza Jafari, Hadis Karimipour, Ali Dehghantanha, Farnaz Derakhshan, Kim-Kwang Raymond Choo
Publikováno v:
IET Smart Grid (2020)
The increasing coupling between the physical and communication layers in the cyber-physical system (CPS) brings up new challenges in system monitoring and control. Smart power grids with the integration of information and communication technologies a
Externí odkaz:
https://doaj.org/article/409c47dfa8454f15ada8811068ccb67e
Publikováno v:
AHS
BASE-Bielefeld Academic Search Engine
AHS 2018-12th NASA/ESA Conference on Adaptive Hardware and Systems
AHS 2018-12th NASA/ESA Conference on Adaptive Hardware and Systems, Aug 2018, Edinburgh, United Kingdom. pp.272-279, ⟨10.1109/AHS.2018.8541465⟩
BASE-Bielefeld Academic Search Engine
AHS 2018-12th NASA/ESA Conference on Adaptive Hardware and Systems
AHS 2018-12th NASA/ESA Conference on Adaptive Hardware and Systems, Aug 2018, Edinburgh, United Kingdom. pp.272-279, ⟨10.1109/AHS.2018.8541465⟩
International audience; Self-organization is a bio-inspired feature that has been poorly developed when it comes to talking about hardware architectures. Cellular computing approaches have tackled it without considering input data. This paper introdu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00ab85fd88f4373550839f205fd69e21
https://doi.org/10.1109/ahs.2018.8541465
https://doi.org/10.1109/ahs.2018.8541465
Akademický článek
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Effective network partitioning becomes an essential step to realise self-sustained smart grid, which serves as a prerequisite for 'self-healing' enabled decentralised control. Splitting the power network (PN) into areas is the last resort to avoid th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee194cca5ed50f11491aff63ef992450
http://bura.brunel.ac.uk/handle/2438/22591
http://bura.brunel.ac.uk/handle/2438/22591
Publikováno v:
ETFA
Recercat. Dipósit de la Recerca de Catalunya
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Industrial manufacturing plants often suffer from reliability problems during their day-to-day operations which have the potential for causing a great impact on the effectiveness and performance of the overall process and the sub-processes involved.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0fa64ca2852941ed5914497d04b1deef
https://doi.org/10.1109/etfa.2016.7733534
https://doi.org/10.1109/etfa.2016.7733534
Autor:
Bo Kara, John M. Liddell, Elaine Martin, Christopher J. O’Malley, Nigel J. Titchener-Hooker, Gary Montague
Publikováno v:
Food and Bioproducts Processing. 90(4):755-761
The large-scale manufacture of biological products results in the generation of significant quantities of process information that can be used to inform future design decisions. Currently this information is not exploited to its full potential. The c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::278044f9b869e4dd6bebe9a9c19cc874
Autor:
Kuniaki Uto, Yukio Kosugi
Publikováno v:
IGARSS
We had proposed a nonlinear mapping method for the purpose of change detection based on two images photographed at different points of time. The change detection method involves three fundamental research factors, i.e. (1) characteristics to find the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c8c380b83198aeeff1dc5c16e0aec95
http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100695765
http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100695765
Publikováno v:
Fang, J, Su, C, Hu, W & Chen, Z 2015, A Hidden Markov Model Representing the Spatial and Temporal Correlation of Multiple Wind Farms . in Proceedings of the IEEE Power & Energy Society General Meeting, PES 2015 . IEEE Press, pp. 1-5, IEEE Power & Energy Society General Meeting, PES 2015, Denver, Colorado, United States, 26/07/2015 . https://doi.org/10.1109/PESGM.2015.7286389
To accommodate the increasing wind energy with stochastic nature becomes a major issue on power system reliability. This paper proposes a methodology to characterize the spatiotemporal correlation of multiple wind farms. First, a hierarchical cluster
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7627b7833a441d4fc0dfa7cc742e5c46
https://vbn.aau.dk/da/publications/870326be-5756-4c1f-afdb-d6252c3254b8
https://vbn.aau.dk/da/publications/870326be-5756-4c1f-afdb-d6252c3254b8