• 한국콘텐츠학회논문지
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• 제6권12호
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• pp.121-127
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• 2006

정보기술 발전과 함께 GIS(geographical information system) 기술이 빠르게 발전하면서 GIS를 이용한 공간분석(spatial analysis)에 관한 수요가 증대되고 있다. 특히 GIS의 일반기술에 관한 연구보다 GIS를 이용한 공간분석연구가 많아지면서 이를 다양하게 응용하여 활용하고 있다. 그러나 대부분의 GIS연구는 밀도기반 군집화 방식인 DBSCAN 또는 개개의 데이터에 가중치를 부여하여 군집화한 DBSCAN-W 등 공간적 현상을 다루고 있으며 시간차원의 합리적 의사결정의 중요성은 간과되고 있다. 본 연구에서는 이와 같이 GIS를 기반으로 한 최적 공간선정을 위해 시간차원의 도입을 위해 시스템 다이내믹스(system dynamics) 이론을 접목하여 접근할 수 있는 방법을 제공하고자 한다.

• Communications for Statistical Applications and Methods
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• 제19권4호
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• pp.559-569
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• 2012

Compositional data consist of compositions that are non-negative vectors of proportions with the unit-sum constraint. In disciplines such as petrology and archaeometry, it is fundamental to statistically analyze this type of data. Aitchison (1983) introduced a log-contrast principal component analysis that involves logratio transformed data, as a dimension-reduction technique to understand and interpret the structure of compositional data. However, the analysis is not usable when zero values are present in the data. In this paper, we introduce 4 possible methods to reduce the dimension of compositional data with zero values. Two real data sets are analyzed using the methods and the obtained results are compared.

• 여성건강간호학회지
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• 제1권2호
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• pp.244-259
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• 1995

This study was designed and carried out to describe the stress of the infertile women and identify its predictors. The subjects of this study, 131 infertile women, were in primary or secondary infertility. the were conveniently sampled out from the infertility clinics of K University Medical Center and C Hospital in Seoul. The data were collected by using the Infertility Stress Scale which consisted of 35 items with four dimensions(cognitive, affective, marital and social stress) from August to November 1994. The data were analyzed by using the pc-SAS program. The information was obtained of Mean, Standard Deviation, Frequencies, Percentile, t-test, ANOVA, Duncan's multiple comparison test and Multiple Regression. The results are as follows; 1. The Mean of the stress of the infertile women is 2.78. The Means of the stress in 4 dimensions are 3.81 in the cognitive dimension, 3.05 in the affective dimension, 2.06 in the marital adjustment dimension and 2.41 in the social adjustment dimension. 2. The predictors of the stress of the infertile women are their educational levels and subjective economic status. They explain 14.08% of total variance.

• 대한수학회논문집
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• 제20권4호
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• pp.695-702
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• 2005

We study the transformed measures with respect to the real parameters of a self-similar measure on a self-similar Can­tor set to give a simple proof for some result of its multifractal spectrum. A transformed measure with respect to a real parameter of a self-similar measure on a self-similar Cantor set is also a self­similar measure on the self-similar Cantor set and it gives a better information for multifractals than the original self-similar measure. A transformed measure with respect to an optimal parameter deter­mines Hausdorff and packing dimensions of a set of the points which has same local dimension for a self-similar measure. We compute the values of the transformed measures with respect to the real parameters for a set of the points which has same local dimension for a self-similar measure. Finally we investigate the magnitude of the local dimensions of a self-similar measure and give some correlation between the local dimensions.

• 전자공학회논문지S
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• 제34S권10호
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• pp.120-131
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• 1997

This paper prsents a new method that automatically recognizes the dimension lines (consisting of shape lines, tail lines and extension lines) from the mechanical drawings. In the proposed method, the object and closed-loop symbols are separated from the character-free drawings. Then the object lines and interpretation lines are vectorized by using several techniques such as thinning, line-vectorization, and vector-clustering. Finally, after recognizing arrowheads by using pattern matching, we recognize dimension lines from interpretation lines by using arrohead's directional vector and centroid. By using the methods of geometric modeling and mathematical operation, the proposed method readility recognizes the dimension lines from complex drawings. Experimental resuls are presented, which are obtained by applying the proposed method to drawings drawn in compliance with the KS drafting standard.

• Journal of Information Technology Applications and Management
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• 제9권2호
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• pp.81-106
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• 2002

As more organizations undertake IT-enabled business process reengineering(BPR), IT-enabled BPR projects become a major concern. Especially, one of IT, Enterprise Resource Planning System (ERP) is recognized as a revolution solution. But the success cases of ERP project are rarely reported. In this study, ERP implementation is defined as a IS implementation project based on BPR concepts To explore the issues of implementing ERP systems, a company implementing ERP successfully in Korea is selected. The research framework consists of four components: 1) strategic plan dimension , 2) organizational environment dimension, 3) implementation process dimension, and 4) IT dimension. On this framework, to implement ERP systems successfully, the analysis of the results clearly suggests appropriate planning, top management support, change management, appropriate methodology , ERP specialist commitment, management of standard process and master data, and the extent of IT localization.

• Communications for Statistical Applications and Methods
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• 제29권5호
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• pp.603-614
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• 2022

The naive Bayes classifier is one of the most straightforward classification tools and directly estimates the class probability. However, because it relies on the independent assumption of the predictor, which is rarely satisfied in real-world problems, its application is limited in practice. In this article, we propose employing sufficient dimension reduction (SDR) to substantially improve the performance of the naive Bayes classifier, which is often deteriorated when the number of predictors is not restrictively small. This is not surprising as SDR reduces the predictor dimension without sacrificing classification information, and predictors in the reduced space are constructed to be uncorrelated. Therefore, SDR leads the naive Bayes to no longer be naive. We applied the proposed naive Bayes classifier after SDR to build a recommendation system for the eyewear-frames based on customers' face shape, demonstrating its utility in the top-k classification problem.

• 한국컴퓨터정보학회논문지
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• 제17권5호
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• pp.157-167
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• 2012

본 연구에서는 중소기업청의 정책자금지원 사업을 도와 줄 OLAP 데이터베이스 시스템을 구축하는 것을 목적으로 하고 있다. 정책자금을 단계적으로 지원하기 위해서는 필수적으로 이질 차원 스키마를 채택해야 한다. 따라서 본 연구에서는 단계적 정책금융을 지원하도록 하는 FREQUENCY 차원테이블을 작성한 것이다. 또한 본 연구에서는 중소기업의 크기를 측정할 모델을 작성하였는데, 이 모델은 매출액, 고용인력, 기술보유, 매출액 영업이익률, 부채 비율, 유동비율의 6가지 기업크기 측정지표로 구성되어 있다. FREQUENCY 차원을 포함한 3개 차원과 기업크기 측정모델을 사용하여 OLAP 데이터베이스 시스템을 구축한 것이다. 아울러 이렇게 구축한 OLAP 데이터베이스 시스템을 이용하여 2004년~2007년 간 기 시행된 중소기업 정책자금 지원사업의 적정성을 평가해 보고 있다.

• 디지털융복합연구
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• 제19권1호
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• pp.89-97
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• 2021

연구 목적은 조직원의 정보보안 관련 조직시민행동과 연관되는 인지과정의 영향관계를 검증하는 것이다. 연구방법은 개인의 전망차원(이익, 손실)과 조직의 목표지향성 차원(성취지향, 안정지향)의 교차설계를 실시하고, 정보보안인지요인은 분배공정성, 대처효능감, 자기효능감, 그리고 조직시민행동으로 구성하였다. 연구결과 전망차원은 대처효능감과 자기효능감에 유의미한 영향을 미치고 있었으며, 이익의 영향력이 손실보다 높은 것으로 나타났다. 목표지향성은 대처효능감과 자기효능감에 유의미한 영향을 미치고 있었으며, 성취지향의 영향력이 안전지향보다 높은 것으로 나타났다. 정보보안 요인간의 관계를 설명한 연구모형은 분배공정성, 대처효능감, 조직시민행동간의 부분매개모형으로 검증되었다. 연구의 시사점은 개인 의사결정 요인과 조직 문화 요인을 복합적으로 고려하여 정보보안 전략 수립을 하는 것이 필요함을 제시한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권9호
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• pp.3348-3364
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• 2021

Magic matrix-based data hiding schemes are applied to transmit secret information through open communication channels safely. With the development of various magic matrices, some higher dimensional magic matrices are proposed for improving the security level. However, with the limitation of computing resource and the requirement of real time processing, these higher dimensional magic matrix-based methods are not advantageous. Hence, a kind of data hiding scheme based on a single or a group of multi-dimensional flexible magic matrices is proposed in this paper, whose magic matrix can be expanded to higher dimensional ones with less computing resource. Furthermore, an adaptive mechanism is proposed to reduce the embedding distortion. Adapting to the secret data, the magic matrix with least distortion is chosen to embed the data and a marker bit is exploited to record the choice. Experimental results confirm that the proposed scheme hides data with high security and a better visual quality.