Zobrazeno 1 - 10 of 12 pro vyhledávání: '"Youngwook Nam"'
1
Water leak detection based on convolutional neural network using actual leak sounds and the hold-out method
Autor: Yasuhiro Arai, A. Koizumi, T. Kunizane, Youngwook Nam
Publikováno v: Water Supply, Vol 21, Iss 7, Pp 3477-3485 (2021)
The main purpose of this study was to investigate whether machine learning can be used to detect leak sounds in the field. A method for detecting water leaks was developed using a convolutional neural network (CNN), after taking recurrence plots and
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::147f4968b0d14428effb4d4f59215576
https://doi.org/10.2166/ws.2021.109
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5
Economical selection of optimum pressurized hollow fiber membrane modules in water purification system using RbLCC
Autor: Dooil Kim, Youngwook Nam, Chul-sung Lee
Publikováno v: Membrane Water Treatment. 8:137-147
A water treatment utility in South Korea operates a large system of pressurized hollow fiber membrane (PHFM) modules. The optimal selection of membrane module for the full scale plant was critical issue and carried out using Risk-based Life Cycle Cos
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::97c7bf88c67775690bf9081e14dda499
https://doi.org/10.12989/mwt.2017.8.2.137
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8
Development of Benchmark Index of LoS for Asset Management of Water Treatment Facilities
Autor: Dooil Kim, Chul-sung Lee, Youngwook Nam, Inhwan Hyun, Mingyu Chun, Mincheol Kim
Publikováno v: Journal of the Korean Society of Water and Wastewater. 29:667-683
Since aged water treatment facilities could threaten the sustainable water supply, asset management system has been adopted for their systematic management. Level of Service(LoS) is one of critical components of asset management and could be quantifi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c0fed670edbd4571ed980aafe7c920da
https://doi.org/10.11001/jksww.2015.29.6.667
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