• 한국정보과학회:학술대회논문집
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• 한국정보과학회 1998년도 가을 학술발표논문집 Vol.25 No.2 (3)
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• pp.21-23
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• 1998

본 논문에서 ILP (Instruction Level Parallelism)의 성능향상을 위하여 데이터 값들을 미리 예측하여 병렬로 이슈(issue)하고 수행하는 기존의 데이터 값 예측기(data value predictor)를 비교 분석하여 각 예측기의 예측율을 측정하고, 2-단계 데이터 값 예측기(Two-Level Data Value Predictor)와 혼합형 데이터 값 예측기(Hydrid Data Value Predictor)에서 발생되는 aiasing 을 측정하기 위해 수정된 데이터 값 예측기를 사용하여 측정한 결과 aliasing은 50% 감소하였지만 예측율에는 영향을 미치지 못함과 데이터 값 예측기의 예측율을 측정한 결과 혼합형 데이터 값 예측기의 예측율이 2-단계 데이터 값 예측기와 스트라이드 데이터 값 예측기(Stride Data Value Predictor)에서 평균 5.7%, 최근 값 예측기(Last Data Value Predictor)보다는 평균 38%의 예측 정확도가 높음을 입증하였다.

• 전자통신동향분석
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• 제28권1호
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• pp.42-51
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• 2013

The R language is an open source programming language and a software environment for statistical computing and data visualization. The R language is widely used among a lot of statisticians and data scientists to develop statistical software and data analysis. The R language provides a variety of statistical and graphical techniques, including basic descriptive statistics, linear or nonlinear modeling, conventional or advanced statistical tests, time series analysis, clustering, simulation, and others. In this paper, we first introduce the R language and investigate its features as a data analytics tool. As results, we may explore the application possibility of the R language in the field of data analytics.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2006년도 한국컴퓨터종합학술대회 논문집 Vol.33 No.1 (A)
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• pp.4-6
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• 2006

Tree-dependent component analysis (TCA) is a generalization of independent component analysis (ICA), the goal of which is to model the multivariate data by a linear transformation of latent variables, while latent variables fit by a tree-structured graphical model. In contrast to ICA, TCA allows dependent structure of latent variables and also consider non-spanning trees (forests). In this paper, we present a TCA-based method of clustering gene expression data. Empirical study with yeast cell cycle-related data, yeast metaboiic shift data, and yeast sporulation data, shows that TCA is more suitable for gene clustering, compared to principal component analysis (PCA) as well as ICA.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2011년도 한국컴퓨터종합학술대회논문집 Vol.38 No.1(C)
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• pp.142-144
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• 2011

In a world in constant changes, more and more devices are producing data and it is indispensable to manage these data. That is why map reduce framework is a solution to manage a large amount of data in a fast and right way. In the other hand semantic web (RDF/OWL) is getting popular and can be a solution to manage data in an efficient way, so that such data can be retrieved and understood by both human and machine. In this paper we describes and analyze some projects that manages RDF with Map-Reduce framework.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2011년도 한국컴퓨터종합학술대회논문집 Vol.38 No.1(C)
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• pp.393-396
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• 2011

In this paper, we propose a constrained alternating least squares nonnegative matrix factorization algorithm (cALSNMF) to detect active brain regions from single subject's task-related fMRI data. In cALSNMF, we define a new cost function which considers the uncorrelation and noisy problems of fMRI data by adding decorrelation and smoothing constraints in original Euclidean distance cost function. We also generate a novel training procedure by modifying the update rules and combining with optimal brain surgeon (OBS) algorithm. The experimental results on visuomotor task fMRI data show that our cALSNMF fits fMRI data better than original ALSNMF in detecting task-related brain activation from single subject's fMRI data.

• 한국과학교육학회지
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• 제17권4호
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• pp.451-460
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• 1997

Various modern social problems are also related with science and technology. Thorough understanding about Technology-Society(STS) interactions is required to take informed action about how to deal effectively with these problems. In this case, there is a need for STS education. The purpose of this study was to examine the perceptions of high -school students and science teachers about Technology-Society interactions and differences of their perceptions. It is my hope that this thesis will contribute to future "General Science" class in Korea. We obtained the data by a survey of 414 high school students who took "General Science" courses in Seoul and 54 of their science teachers. The survey was made using 10 multiple-choice items selected from the VOSTS (Views On Science-Technology-Society) item pool. The results of this study are as follow: 1. More than half of the students and teachers thought that science is exploring the unknown and discovering new things. Their perceptions about the science are somewhat stable, but about the technology various. 2. Most students and teachers thought that science and technology interact and complement each other. They also thought that the improvement in the quality of life needs investments in both science and technology 3. Most students and teachers thought social facts as community, government, and politics influenced scientists and scientific research. They also had a good understanding about the effects of science and technology on society. We can conclude from this that they had a Science-Technology-Society oriented viewpoint. 4. There are significant differences between the perceptions of boys and girls in following categories (p<.05): Influence of Community or Government Agencies on Scientists Influence of Politics on Scientists Role of Scieoce/Technology in Resolving Social Problems 5. There are significant differences between the perceptions of students and teachers in following categories (p<.05): Definition of Science Influence of Politics on Scientists

• Journal of Computing Science and Engineering
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• 제3권2호
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• pp.109-126
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• 2009

Taxonomies are widely used to classify information, and multiple (possibly competing) taxonomies often exist for the same domain. Given a set of correspondences between two taxonomies, it is often necessary to "merge" the taxonomies, thereby creating a unied taxonomy (e.g., that can then be used by data integration and discovery applications). We present an algorithm for merging taxonomies that have been related using articulations given as RCC-5 constraints. Two taxa Nand M can be related using (disjunctions of) the ve base relations in RCC-5: M; N ${\subseteq}$M; N ${\supseteq}$; N ${\oplus}$M (partial overlap of Nand M); and N ! M (disjointness: N ${\cap}$M = ${\varnothing}$). RCC-5 is increasingly being adopted by scientists to specify mappings between large biological taxonomies. We discuss the properties of the proposed merge algorithm and evaluate our approach using real-world taxonomies.

• 정보과학회지
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• 제5권2호
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• pp.49-60
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• 1987

待期 理論(Queuing, waiting-Line Theory)은 例을 지어 待期하고 있는 現 象, 즉 各種 窓口에서 特定의 서어비스를 提供받기 위하여 個體가 기다리는 現象 에 관한 理論이며, 이와같은 理論的인 現象을 待期行列現象(Queuing phenomena, Waiting-Line phenomena)이라고 한다.

• 정보과학회지
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• 제5권1호
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• pp.50-56
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• 1987

무의지역에 병환이 발생했을때 대도시와는 달리 진단 및 치료의 종수, 수단등의 제약으로 인해 진단에서 치료까지 일련의 처리가 불가능하다. 또한 소도시의 경우도 현지의 여건으로 진단 및 치료가 불가능할 경우도 마찬가지이다. 근년 전산화방식에 의한 의료의 진단은 이상의 문제점 해결을 가능케 하고 있다. 진료의 전산화방식은 현지의 관계인사 또는 의료상식인에게 의사역할을 담당시키는 방식으로서 먼저, 고려되어야 할 사항은 증후검출 단계의 객관화이다. 따라서 증후를 수량화하는 방법이 필요하게 된다. 여기서 수량화라고 하는 것은 미각 또는 청각에 관계된 관능검사와 같이 집단내 개체의 특성을 정하는 것을 의미한다.

• 대한화장품학회지
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• 제12권1호
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• pp.17-33
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• 1986

The interfacial Properties of ferrosoferric oxide suspended in aqueous KNO3 solution are investigated by studying the zeta potentials and surface charge densities at $25^{\circ}C$. The zeta potentials are obtained by measuring the electrophoretic mobility and the surface charge densities by potentiometric titrations in the aqueous KNO3 solutions of different concentrations from 10-3 to 10-1M. The data are interpreted by the surface dissociation and complexation model of Davis, et als. and the modified model.