http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
장성철(S. C. Jang),서경호(G. H. Seo),박태수(T. S. Park),이재웅(J. W. Lee),최경관(G K. Choi),이용우(Y. W. Lee) 한국생산제조학회 2010 한국공작기계학회 추계학술대회논문집 Vol.2010 No.-
In this study, the development of collector system for high efficiency exhausted. The aim of this study is to remove crack on a ventilation device at the suction part of plants factory, and the main point is making optimum configuration by improving an existing collector system Finally, the improved high efficiency exhausted was designed.
3-phase Voltage Sag and Outage Generator for the Test of STS in Power System
H.S. Kim,J.H. Jung,J.W. Bae,B.G. Seo,D.U. Sun,H.S. Jeong,E.C. Nho,H.G. Kim,T.W. Chun 전력전자학회 2015 ICPE(ISPE)논문집 Vol.2015 No.6
This paper deals with power quality disturbance generator for the test of STS in power system. The STS used in this system is composed with SCR thyristors. It is necessary to connect the thyristors in series in high voltage system. The major components consisting the generator are SCR thyristors, series transformers, and sliding type auto transformers, therefore, the system reliability is very high. Operating characteristics of the generator are analyzed in each mode of voltage sag and outage. Simulation is carried out for the system with the rated voltage of 330V and 10MVA power rating.
김영아 ( Kim Y. A. ),석웅 ( Bg Seok W. ),서지원 ( Seo J. W. ),황점숙 ( Hwang J. S. ),김정길 ( Kim J. G. ),한광일 ( Han G. I. ),오진섭 ( Oh J. S. ),이한준 ( Lee H. J. ) 국군의무사령부 2017 대한군진의학학술지 Vol.48 No.1
Objectives: This Study aims to identifying the application areas of big data in military healthcare and the preceding subjects for its introduction Methods: Various prior studies and related cases of domestic and foreign healthcare organization are reviewed to identify benchmarking elements for the introduction of big data in military healthcare. Results: This study suggests possible areas for big data introduction in military healthcare. They are prediction of disease, forecast of infectious disease outbreak, optimizing use of medical resources, improvement of responsiveness and accuracy of care, enhancement of medical personnel, medicine, medical equipment and evacuation materials and support analytical data for military medical research. Also, as the preceding subjects for the introduction of big data, data quality management, securing professional workforce and organization, and culture for data-based decision making are suggested. Conclusions: The significance of this study is that it presents possible areas for big data introduction in military healthcare and considerations for its successful introduction.