Zobrazeno 1 - 10 of 59 pro vyhledávání: '"Chang-Wan Ha"'
1
Akademický článek
Magnetic Levitation Guiding System of a Ropeless Elevator for Semiconductor Wafer Vertical Transport: Experimental Evaluation
Autor: Chang-Wan Ha, Sungho Jung, Jinseong Park, Jaewon Lim
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
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2
Akademický článek
Optimizing Friction Block Location on Brake Pads for High-Speed Railway Vehicles Using Artificial Neural Networks
Autor: Hee Rok Hong, Chang-Wan Ha
Publikováno v: Applied Sciences, Vol 13, Iss 17, p 9634 (2023)
Brake discs play a crucial role in braking railway vehicles, but the frictional heat generated during the braking process can lead to high temperatures on the disc. Changes in the friction block location on the brake pad result in variations in the t
Externí odkaz: https://doaj.org/article/202a26e0d6314d96aa446c5d21cb63c0
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3
Akademický článek
Development of a Magnetic Levitation Wafer Handling Robot Transfer System with High-Accuracy and High-Cleanliness: Experimental Evaluation
Autor: Chang-Wan Ha, Sungho Jung, Jinseong Park, Jaewon Lim
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
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7
Development of a Cloud-Based Real-Time Building Health Monitoring and Prediction System Using AI and IoT Sensors
Autor: Chang-Wan Ha, Byungtae Ahn, Young-Sik Shin, Jinseong Park, Jai-Kyung Lee, Jungjip Kim
Publikováno v: Journal of the Korean Society of Hazard Mitigation. 21:31-39
In this study, a cloud-based real-time building health monitoring and prediction system using AI and IoT sensors was developed. To predict the building condition, which constitutes time-series data, statistical-based ARIMA and AI-based LSTM predictio
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b3fab03d8b7a2720aaf0f43806ffbb27
https://doi.org/10.9798/kosham.2021.21.6.31
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8
Optimization Process for Polynomial Motion Profiles to Achieve Fast Movement With Low Vibration
Autor: Chang-Wan Ha, Dongwook Lee
Publikováno v: IEEE Transactions on Control Systems Technology. 28:1892-1901
Since fast and accurate motion profiles are directly related to the productivity of manufacturing, many studies have been performed to optimize such motion profiles. However, previous research has not provided an appropriate solution regarding which
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d4881538c11d93c85938b0a24f3af902
https://doi.org/10.1109/tcst.2020.2998094
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