http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
류호정,김정우,구형남,최정후 건국대학교 산업기술연구원 1999 건국기술연구논문지 Vol.24 No.-
The bed expansion characteristics have been investigated in a fluidized bed (0.1 m I.D., 2.4 m height) with variations of the gas velocity (0.015 - 1.0 m/s), the static bed height (0.1, 0.2m) and the type of particle (Geldart group A, B and D). The ratio of bed expansion increased as the gas velocity increased. However, it decreased with an increase of the static bed height. It also decreased in order of Geldart group A, B and D particles at the same excess gas velocity and static bed height. A correlation on the bed expansion has been proposed on the basis of the present experimental result.
정창후(Jeong Chang-Hoo),최윤수(Choi Yun-Soo),김광영(Kim Kwang-Young),서정현(Seo Jeong-Hyeon),윤화묵(Yoon Hwa-Mook) 한국콘텐츠학회 2006 한국콘텐츠학회 종합학술대회 논문집 Vol.4 No.2
본 논문에서는 고전 문서가 XML 형태로 전산화된 이후에, 의미적 특징을 최대한 손상시키지 않고 검색 결과를 효과적으로 하이라이팅하는 방법에 대해서 설명한다. 특히, 고전 문서의 특성을 최대한 고려하여 하이라이팅 문자열 비교를 수행하였다. 또한, XML 문서의 특성을 고려하여 하이라이팅 태그 삽입 시에 다양한 처리를 수행하였다. In this paper, we introduce a method to effectively highlight retrieval results without impairing meaningful features after historical documents were digitized into XML format. Especially, making the best of the features of historical documents, we perform string matching for the highlighting. Also, considering the features of the XML document, we carry out various processes when highlighting tag is inserted.
보문: 미립지공학·유동층·기후변화대응기술·연료전환기술 ; 연소기체로부터 CO2를 포집하는 기포 유동층 공정에 관한 모델
최정후 ( Jeong Hoo Choi ),윤필상 ( Pil Sang Youn ),김기찬 ( Ki Chan Kim ),이창근 ( Chang Keun Yi ),조성호 ( Sung Ho Jo ),류호정 ( Ho Jung Ryu ),박영철 ( Young Cheol Park ) 한국화학공학회 2012 Korean Chemical Engineering Research(HWAHAK KONGHA Vol.50 No.3
본 연구는 연소기체로부터 CO2 기체를 포집하는 기포 유동층 흡착 및 재생 반응기 공정의 주요 운전변수의 영향을 조사하기 위해서 단순화된 공정모델을 개발하였다. 반응속도와 반응기에서 고체입자의 평균체류시간을 이용하여 흡착 탑과 재생탑에서 각 반응 전환율을 계산하였다. 실험실 규모 기포 유동층 공정에 적용하여 CO2 포집효율에 대한 온도, 기체유속, 고체순환속도, 연소기체 중 수분농도의 영향을 조사하였다. CO2 포집효율은 흡착탑의 온도 혹은 유속이 증가 함에 따라서 감소하였다. 그러나 연소기체의 수분농도 혹은 재생탑의 온도가 증가함에 따라서 증가하였다. 계산된 CO2 포집효율은 측정값과 잘 일치하였다. 그러나 본 모델은 CO2 포집효율에 대한 고체순환속도의 영향과 잘 일치하지 않 았다. 이의 해석을 위해서는 기체-고체 접촉효율에 대한 이해가 더 필요하였다. This study developed a simple model to investigate effects of important operating parameters on performance of a bubbling-bed adsorber and regenerator system collecting CO2 from flue gas. The chemical reaction rate was used with mean particles residence time of a reactor to determine the extent of conversion in both adsorber and regenerator reactors, Effects of process parameters - temperature, gas velocity, solid circulation rate, moisture content of feed gas - on CO2 capture efficiency were investigated in a laboratory scale process, The CO2 capture efficiency decreased with increasing temperature or gas velocity of the adsorber. However, it increased with increasing the moisture content of the flue gas or the regenerator temperature. The calculated CO2 capture efficiency agreed to the measured value reasonably well. However the present model did not agree well to the effect of the solid circulation rate on CO2 capture efficiency. Better understanding on contact efficiency between gas and particles was needed to interpret the effect properly.
Introduction of the Scientific Intelligence Discovery Framework using Grid Computing
Chang-Hoo Jeong,Sung-Pil Choi,Yun-Soo Choi 한국콘텐츠학회 2009 ICCC International Digital Design Invitation Exhib Vol.2009 No.12
As the amount of data to process is increasing in modern society, the requirements for computing resources of data mining applications which extract useful information from data also have been increasing. In this situation, Grid computing provides data repository of large-volume and high-speed computing power so that supplies the foundation to effectively resolve the problems which conventional data mining applications have. This paper explains the SINDI-Grid which is a framework for high-performance scientific knowledge discovery using Grid computing. The SINDI-Grid framework provides a variety of Grid services for distributed data analysis and scientific information processing. As a result it is possible to develop the scientific and technological knowledge discovery services supporting large-scale data and high-speed processing.