• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2010.04a
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• pp.133-136
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• 2010

A lot of GIS DB in Korea is distributed and integration for decision making is difficult. Therefore, the SDW is needed to improve the problems and enhance efficiency. The SDW is used for making decisions about various problems by integrating scattered spatial information. This study analyzes business activity of a local government and plan the data cube to implement spatial OLAP for an efficient decision making.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.31B no.12
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• pp.1-10
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• 1994

In this paper, we propose a processor allocation algorithm using the PGG(Packed Gray code Group) for the MIMD hypercube. The number of k-D subcubes in an n-cube is C(n.k) en-k. When the PGG is employed in the processor allocation, C(n, k) PGG's are required to recognize all the k-D subcubes in an n-cube. from the simulation we find that the capability of processor allocation using only 40% of C(n, k) PGG's is about the same as that of the allocation using all the PGG's.

• Bulletin of the Korean Chemical Society
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• v.31 no.12
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• pp.3864-3865
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• 2010

• 한국초전도학회:학술대회논문집
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• v.15
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• pp.68-68
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• 2005

• Proceedings of the Korean Information Science Society Conference
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• 2004.04b
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• pp.268-270
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• 2004

주어진 셀이나 조직에 발현된 단백질 프로파일의 구조적인 분석을 다루는 단백질체학(Proteomics) 연구에 있어서, 질병에 대한 마커 단백질(marker proteins)을 도출(identification)하는 것은 핵심 논점 중 하나이다. 수십 개의 샘플로부터 추출한 셀이나 조직 내에는 수많은 단백질이 포함되어 있으며, 존재하는 단백질의 질병에 의한 발현량(expression level) 변화 및 임상 특성에 의한 영향을 분석하기 위해서 데이터베이스와 데이터 마이닝 기술의 활용이 효과적이다. 본 논문에서는 질병 일 임상 특성에 따른 단백질의 발현량 변화를 분석하기 위한 OLAP 데이터 큐브(Data cube)의 응용 방법과 단백질 데이터의 분석에 적합한 척도(measure)를 제안하고, 유효성을 보인다.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2022.11a
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• pp.31-32
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• 2022

Unlike conventional building materials, the living building material (LBM) cube is composed of sand, gelatin, and cyanobacteria without cement. The surface of the LBM cube absorbs CO2 from the atmosphere by photosynthesis and is deposited in the form of CaCO3. In addition, the crystals generated in this process strengthened the gelatin-sand structure to enhance the compressive strength.

• Korean Architects
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• s.584
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• pp.64-77
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• 2017

• Korean Architects
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• s.622
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• pp.48-53
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• 2021

• Journal of the Institute of Electronics and Information Engineers
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• v.49 no.9
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• pp.196-204
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• 2012

Recently, many applications perform OLAP(On-Line Analytical Processing) over a very large volume of data. Multidimensional data cube is regarded as a core tool in OLAP analysis. This paper focuses on the method how to efficiently compute data cubes in parallel by using a popular parallel processing tool, MapReduce. We investigate efficient ways to implement PipeSort algorithm, a well-known data cube computation method, on the MapReduce framework. The PipeSort executes several (descendant) cuboids at the same time as a pipeline by scanning one (ancestor) cuboid once, which have the same sorting order. This paper proposed four ways implementing the pipeline of the PipeSort on the MapReduce framework which runs across 20 servers. Our experiments show that PipeMap-NoReduce algorithm outperforms the rest algorithms for high-dimensional data. On the contrary, Post-Pipe stands out above the others for low-dimensional data.

• Research in Plant Disease
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• v.21 no.4
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• pp.321-325
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• 2015

A rapid and simple RT-PCR diagnosis method for detection of Rice stripe virus (RSV), one of major virus infecting rice, was developed using porous ceramic cubes in this study. The porous ceramic cube can rapidly absorb biological molecules such as small-sized proteins and nucleic acid fragments into its pores. We examined whether this ability of porous ceramic cubes could be applied for isolating viral nucleic acids or particles from the RSV- infected plant tissues. In this study, we found that the porous ceramic cube was capable of absorbing a detection level of viruses from the rice tissues infected with RSV and established RT-PCR-based RNA diagnosis method using porous ceramic cubes.