Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Minjoo Choi"'
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 11, p 1961 (2024)
This paper introduces a hybrid optimization method that leverages either linear programming (LP) or a genetic algorithm (GA) based on the problem size to enhance the parallel additive manufacturing (AM) process for ship models. The LP ensures optimal
Externí odkaz:
https://doaj.org/article/d8f9684304364273a8b9a9100779b9e9
Publikováno v:
한국해양공학회지, Vol 35, Iss 4, Pp 287-295 (2021)
This paper describes a recurrent neural network (RNN) for the fault classification of a blade pitch system of a spar-type floating wind turbine. An artificial neural network (ANN) can effectively recognize multiple faults of a system and build a trai
Externí odkaz:
https://doaj.org/article/a9d16846c0a846659fbe7a409f17d4da
Publikováno v:
Journal of Marine Science and Engineering, Vol 11, Iss 3, p 507 (2023)
Dynamic analysis can consider the complex behavior of mooring systems. However, the relatively long analysis time of the dynamic analysis makes it difficult to use in the design of mooring systems. To tackle this, we present a Bayesian optimization a
Externí odkaz:
https://doaj.org/article/907b9a002e1e435f8e9897e8921ec779
Autor:
Jongseo Park, Minjoo Choi
Publikováno v:
Journal of Marine Science and Engineering, Vol 10, Iss 9, p 1245 (2022)
Defining the appropriate functional requirements in the early ship design stage is important in order that costs that are caused by the over- or under-specified functional capabilities do not increase. This paper presents a K-means clustering algorit
Externí odkaz:
https://doaj.org/article/148111ba38804baf9da86b8f92437566
Publikováno v:
Journal of the Society of Naval Architects of Korea. 60:110-119
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::609f1de94b5c286b3e9a02b11ff4a2b6
https://doi.org/10.3744/snak.2023.60.2.110
https://doi.org/10.3744/snak.2023.60.2.110
Publikováno v:
Journal of the Korean Solar Energy Society. 42:1-12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1327efa60e63bdc5fac814a4e2e5e980
https://doi.org/10.7836/kses.2022.42.5.001
https://doi.org/10.7836/kses.2022.42.5.001
Publikováno v:
Korean Journal of Health Education and Promotion. 38:73-85
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a364a246a2988b083a911584b5c91cc
https://doi.org/10.14367/kjhep.2021.38.4.73
https://doi.org/10.14367/kjhep.2021.38.4.73
Publikováno v:
한국해양공학회지, Vol 35, Iss 4, Pp 287-295 (2021)
This paper describes a recurrent neural network (RNN) for the fault classification of a blade pitch system of a spar-type floating wind turbine. An artificial neural network (ANN) can effectively recognize multiple faults of a system and build a trai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d85bb48d88aa17c40b79d449837f53c
https://www.joet.org/journal/view.php?doi=10.26748/KSOE.2021.018
https://www.joet.org/journal/view.php?doi=10.26748/KSOE.2021.018
Publikováno v:
Renewable Energy. 169:1-13
This paper describes the development of a fault detection and diagnosis method to automatically identify different fault conditions of a hydraulic blade pitch system in a spar-type floating wind turbine. For fault detection, a Kalman filter is employ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07f85eefa404bf71341d42047045b1fc
https://doi.org/10.1016/j.renene.2020.12.116
https://doi.org/10.1016/j.renene.2020.12.116
Publikováno v:
Remote Sensing, Vol 11, Iss 9, p 1071 (2019)
In this paper, we applied an artificial neural network (ANN) to the short-term prediction of the Arctic sea ice concentration (SIC). The prediction was performed using encoding and decoding processes, in which a gated recurrent unit encodes sequentia
Externí odkaz:
https://doaj.org/article/f7ee8d04d58b4a0eb28ef0b688f0b80d