Zobrazeno 1 - 10
of 276
pro vyhledávání: '"Seung Soo Han"'
Publikováno v:
Archives of Hand & Microsurgery. Dec2023, Vol. 28 Issue 4, p233-238. 6p.
Autor:
Seung-Soo, Han
Publikováno v:
Presidents & Prime Ministers. Jul/Aug2001, Vol. 10 Issue 4, p17. 2p.
Autor:
Seung-Soo Han
Publikováno v:
The Korean Association of Civil Law. 97:161-196
Autor:
Seung-soo, Han
Publikováno v:
New Zealand International Review, 2006 Nov 01. 31(6), 8-11.
Externí odkaz:
https://www.jstor.org/stable/45235714
Publikováno v:
Journal of Korean Foot & Ankle Society. Jun2024, Vol. 28 Issue 2, p55-59. 5p.
Publikováno v:
Electronics; Volume 11; Issue 9; Pages: 1324
Maintenance is the technology of continuously monitoring the conditions of equipment and predicting the timing of maintenance for equipment. Particularly in the field of semiconductor manufacturing, where processes are automated, various methods are
Publikováno v:
Electronics; Volume 11; Issue 6; Pages: 863
High-definition (HD) maps determine the location of the vehicle under limited visibility based on the location information of safety signs detected by sensors. If a safety sign disappears or changes, incorrect information may be obtained. Thus, map d
Publikováno v:
Journal of Community Psychology. 46:856-870
This research examined how information-seeking tactics and sense of workplace community are related to one another. Data from Korea showed that workers (n = 314) who preferred overt tactics of seeking information (i.e., direct questioning) also repor
Publikováno v:
2019 1st International Conference on Electrical, Control and Instrumentation Engineering (ICECIE).
Recently CNN is not only widely used in the field of image recognition but also used in various fields such as classifying vibration data. Therefore, increasing the performance of CNN models is becoming more important. One of the various methods to i
Autor:
Seung-Soo Han, Hee-Seung Yoon
Publikováno v:
2019 19th International Conference on Control, Automation and Systems (ICCAS).
In this paper, the predictive maintenance(PdM) technology was applied to the semiconductor manufacturing equipment and the DBSCAN algorithm parameters were optimized. The data obtained from the semiconductor equipment was obtained using acceleration