Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Sungho Jung"'
Publikováno v:
IEEE Access, Vol 12, Pp 31674-31684 (2024)
A novel design of a magnetic levitation (maglev) ropeless elevator for semiconductor wafer vertical transport is newly presented. To satisfy high cleanliness during vertical transport of the wafer, linear motor lifting and maglev guiding are desirabl
Externí odkaz:
https://doaj.org/article/34f54c45e0094772981949e40b804211
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 48, Iss , Pp 101475- (2023)
Study region: South Korea is situated in the northeastern region of Asia Study focus:: Recent technological developments have enabled multi-source precipitation products (MSPs), including satellite-based and model-based, to be useful data sources for
Externí odkaz:
https://doaj.org/article/a8411e8e352a4c2c8f865a50565a5344
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 46, Iss , Pp 101328- (2023)
Study region: The Ca River basin is located in the North Central Coast area of Vietnam Study focus: This study aims to develop a deep learning framework that is both effective and straightforward in order to forecast water levels in the Ca River basi
Externí odkaz:
https://doaj.org/article/7263cb6f07914197a05a01acfa87fe7b
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 116, Iss , Pp 103177- (2023)
Despite satellite-based precipitation products (SPPs) providing a worldwide span with a high spatial and temporal resolution, their efficiency in disaster risk forecasting, hydrological, and watershed management remains a challenge due to the signifi
Externí odkaz:
https://doaj.org/article/d63cdb2bae9e4fdd80ce9f85958f83d1
Publikováno v:
Applied Sciences, Vol 13, Iss 16, p 9482 (2023)
Magnetic levitation can reduce particulate contamination that occurs during wafer transportation in the semiconductor manufacturing process. This technology radically eliminates contact between the wafer and the transport system, reducing friction, w
Externí odkaz:
https://doaj.org/article/4acf88214d5f4a9e99206e5289c92648
Publikováno v:
IEEE Access, Vol 9, Pp 71805-71820 (2021)
Recently, deep learning (DL) models, especially those based on long short-term memory (LSTM), have demonstrated their superior ability in resolving sequential data problems. This study investigated the performance of six models that belong to the sup
Externí odkaz:
https://doaj.org/article/9e85309437e74a9e9ff047694645bcd4
Publikováno v:
Water, Vol 13, Iss 21, p 3054 (2021)
Estimation of sediment transport capacity (STC) plays a crucial role in simulating soil erosion using any physics-based models. In this research, we aim to investigate the pros and cons of six popular STC methods (namely, Shear velocity, Kilinc-Richa
Externí odkaz:
https://doaj.org/article/011e14d84e0b41c58a84c165bd7314f1
Publikováno v:
Remote Sensing, Vol 13, Iss 20, p 4033 (2021)
Precipitation is a crucial component of the water cycle and plays a key role in hydrological processes. Recently, satellite-based precipitation products (SPPs) have provided grid-based precipitation with spatiotemporal variability. However, SPPs cont
Externí odkaz:
https://doaj.org/article/69bd1610953748bf91a2974355fc640f
Publikováno v:
Water, Vol 13, Iss 19, p 2663 (2021)
In Korea, approximately 70% of the country is mountainous, with steep slopes and heavy rainfall in summer from June to September. Korea is classified as a high-risk country for soil erosion, and the rate of soil erosion is rapidly increasing. In part
Externí odkaz:
https://doaj.org/article/da07a4b4a43849beb7d657c8cc976eb1
Future Runoff Analysis in the Mekong River Basin under a Climate Change Scenario Using Deep Learning
Publikováno v:
Water, Vol 12, Iss 6, p 1556 (2020)
In establishing adequate climate change policies regarding water resource development and management, the most essential step is performing a rainfall-runoff analysis. To this end, although several physical models have been developed and tested in ma
Externí odkaz:
https://doaj.org/article/400fd2a5aacb49e092cebeecb8f81a0e