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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.
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.