• 동아시아식생활학회지
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• 제16권1호
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• pp.23-28
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• 2006

The purpose of this paper was to clarify the actual conditions of the 'Dietary externalization' mainly by using the economic and nutrition-related data, accompanied by the economic development in Korea and Japan. 'Modernization of food style' and other modernization have taken place, among which 'Dietary externalization' in particular has recently drawn interest. At the time this paper clarified with econometric analysis whether there are differences between the two countries in term of the modernization of food style and dietary externalization trend. The trends of Dietary externalization of both Korea and Japan were studied using Principal Component Analysis method. The food subgroup were investigated based on the annual report on the household income and expenditure survey of Korea and the annual report on the family income and expenditure survey of Japan. The statistical data from both country were analyzed by SAS program. The results are as follows; 1. In Korea, the ratio of carbohydrates in the total calorie intake is quite high and animal protein is rather low compared to those in Japan. 2. Traditional food such as grains and vegetables are consumed much more in Korea than in Japan. 3. The Principal Component 1, 2 were extracted in both countries during the whole analysis period, which suggested the 'Dietary externalization' 4. Principal Component 1 has a positive factor loaded in all food items including meals outside the home and process food. In other words, it is apparent that the 'Dietary externalization' tread in Korea has a simple pattern suggesting that all externalization related items are on the rise. 5. Principal component 1, 2 which indicated the dietary externalization, were detected in Japan.

• 한국지하수토양환경학회지:지하수토양환경
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• 제7권3호
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• pp.19-32
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• 2002

본 연구는 무주군 적상산 부근에 위치하는 소유역에서 지표수의 수질과 인접한 천층지하수 수질사이의 관계 및 지질매체와 오염원의 유입에 의한 계절적인 변동을 규명하기 위하여 수행되었다. 8월과 10월 두 차례의 조사결과 이곳 지표수와 지하수 수질은 Ca-$HCO_3$유형이 주를 이루고 있었으며 인근 광산부근에서는 중금속에 의한 오염이 나타나고 있었다. 10월 조사시에 인가가 밀집한 지역에서는 질산성 질소의 의한 오염 또한 높게 나타나는 특징을 보이고 있다. 이러한 자료를 토대로 군집분석(Cluster Analysis)과 주성분 분석(Principal Component Analysis)을 실시하였으며, 군집분석결과 지표수는 5개의 그룹으로 구분되었고 지하수는 3개의 그룹으로 구분되었다. 주성분분석 결과는 군집분석 시에 나타난 결과를 효과적으로 지지하고 있으며 (1)지질매체의 수리지화학적 반응, (2)오염물질의 유입 (3) 인근광산에 의한 중금속 오염이 복합적으로 반응하여 나타난 결과로 해석된다.

• 근관절건강학회지
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• 제4권2호
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• pp.238-248
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• 1997

This study was conducted to identify the characteristics of uncertainty in patients having rheumatoid arthritis. Subjects of the study constituted 528 patients who visited outpatient clinics of two university hospitals and one general hospital in Seoul. A self report questionnaire was used to measure the uncertainty. Reliability coefficients of this instrument was found Cronbach's ${\alpha}=.84$. In data analysis, SPSS PC 6.0 computer program was utilized for descriptive statistics and factor analysis. Three factors were appointed on the basis of literature review for the principal component factor analysis method and Varimax Orthogonal Rotation. The results of factor analysis were as follows ; 1) Three factors for uncertainty were identified through the principal component analysis and varimax rotation, and these contributed 37.4% of the valiance in the total score. Twenty six items among the whole items in the scale loaded above .39 on one of 3 factors. 2) The naming of each factor was as follows : Factor 1 was 'ambiguity' and has 12 items, factor 2 was 'lack of information' and has 8 items, factor 3 was 'unpredictability' and has 7 items. 3) Cronbach's alpha for internal consistency was .84 for the total items and .81, .80, .50 for each of three subscales in that order.

• 한국산업융합학회 논문집
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• 제5권1호
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• pp.33-38
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• 2002

This paper proposes an efficient method for improving the performance of polynomial adaline using the dimension reduction of independent variables. The adaptive principal component analysis is applied for reducing the dimension by extracting efficiently the features of the given independent variables. It can be solved the problems due to high dimensional input data in the polynomial adaline that the principal component analysis converts input data into set of statistically independent features. The proposed polynomial adaline has been applied to classify the patterns. The simulation results shows that the proposed polynomial adaline has better performances of the classification for test patterns, in comparison with those using the conventional polynomial adaline. Also, it is affected less by the scope of the smoothing factor.

• KDI Journal of Economic Policy
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• 제42권2호
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• pp.57-84
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• 2020

This study analyzes global inflation synchronization and derives policy implications for the Korean economy. Unlike previous studies that assume a single global inflation factor, this study investigates if inflation in Korea can be explained further by other global inflation factors. Our principal component analysis provides three principal components for global inflation that are linked to the Korea inflation rate - the first component is closely related to OECD inflation, and the second and third components reflect China's inflation. This study empirically demonstrates via in-sample fitting and out-of-sample forecasting that the three principal components of global inflation play a significant role in explaining and predicting Korean inflation in the short-term, while their role is limited in the mid-term. Domestic macroeconomic variables are found to be more important for the mid-term movements of the Korean inflation rate. The empirical results here suggest that the Bank of Korea should focus more on domestic economic conditions than on global inflation when implementing monetary policy because global factors are likely to be already reflected in domestic macro-variables in the mid-term.

• 대한인간공학회:학술대회논문집
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• 대한인간공학회 1996년도 추계학술대회논문집
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• pp.225-231
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• 1996

The purpose of this study is providing basic information to make torso and original design of clothing of the old. Grasping the body of the old was advanced and made specific types. The objects of this study are 320 people whose age is 60 .approx. 85 and we extracted forming factors of a body by factor analysis about 57 items and we made types of a body by cluster analysis. Principal component analysis which is one of the basic methods in factor analysis was applied to the interpretation of anthropometric data. As a result of data are able to be decided into appropriate group

• 한국지하수토양환경학회지:지하수토양환경
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• 제27권6호
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• pp.22-36
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• 2022

Water resources in Jeju Island are dependent virtually entirely on groundwater. For groundwater resources, drought damage can cause environmental and economic losses because it progresses slowly and occurs for a long time in a large area. Therefore, this study quantitatively evaluated groundwater level fluctuations using principal component and cluster analyses for 42 monitoring wells in Jeju Island, and further identified the types of groundwater fluctuations caused by drought. As a result of principal component analysis for the monthly average groundwater level during 2005-2019 and the daily average groundwater level during the dry season, it was found that the first three principal components account for most of the variance 74.5-93.5% of the total data. In the cluster analysis using these three principal components, most of wells belong to Cluster 1, and seasonal characteristics have a significant impact on groundwater fluctuations. However, wells belonging to Cluster 2 with high factor loadings of components 2 and 3 affected by groundwater pumping, tide levels, and nearby surface water are mainly distributed on the west coast. Based on these results, it is expected that groundwater in the western area will be more vulnerable to saltwater intrusion and groundwater depletion caused by drought.

• 한국지능시스템학회논문지
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• 제21권3호
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• pp.317-322
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• 2011

한국정보화진흥원에서 개발한 한국형 성인 인터넷 중독 자가진단 척도인 K-척도는 4가지 요인의 20 문항으로 구성되어 있으며, 사용자의 설문응답값으로 인터넷 중독을 진단한다. 기존의 연구는 대부분 인터넷 중독의 원인을 찾으려는 시도였으며, 청소년 대상으로 수집된 표본을 가지고 그들의 인터넷 중독진단이 수행되었다. 본 연구의 목적은 통계 기법의 주성분분석과 데이터마이닝 기법인 의사결정트리를 이용하여 K-척도의 사용자군 분류를 판정하는 주요인을 발견하는 것이다. 실험 결과로부터 K-척도를 구성하는 4가지 요인 중 내성 및 몰입 요인이 성인 인터넷 중독진단에 가장 큰 영향을 주는 요인임을 알 수 있었다.

• 한국습지학회지
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• 제21권3호
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• pp.215-223
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• 2019

본 연구에서는 낙동강 주요 지류를 대상으로 상관분석, 주성분 및 요인분석, 군집분석과 같은 통계분석을 통해 수질 특성을 분석하였다. 유기물질과 영양물질은 높은 상관관계를 가지고 있으며 봄철 및 가을철에 높게 나와 해당 계절에 대한 집중적인 수질 관리가 필요한 것으로 나타났다. 주성분 및 요인분석 결과 전체 분산의 82%를 유기물질, 영양물질, 자연, 기상 등 4개의 주성분으로 설명할 수 있으며 BOD, COD, TOC, TP 항목이 주요 영향요인으로 분석되었다. 군집분석 결과 계절별 유기물, 영양물질의 오염도를 고려하여 4개의 군집으로 분류하였으며 금호강 유역은 사계절 높은 오염특성을 나타내고 있었다. 따라서 지류 하천의 효과적인 수질 관리를 위해서는 시공간적 특성을 고려한 대책이 필요하며 다변량 통계기법은 수질 관리 및 정책 수립에서 유용하게 활용 가능할 것으로 분석되었다.

• 품질경영학회지
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• 제33권2호
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• pp.1-12
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• 2005

An extensive literature review has been made in this paper to build the evaluation hierarchy structure for the certification of electronic commerce services. In building the evaluation hierarchy structure, major candidate evaluation factors are selected by bench marking the various certification practices, including the Malcolm Baldrige award, ISO9000, and BSC(balanced scorecard) techniques. This paper deployed principal component analysis and factor analysis techniques to develop a statistically solid and systematic evaluation model. The final evaluation model, as presented in this paper as a model for the certification of electronic commerce services, produces a numeric score on the 100% scale, which can be served as a metric for the certification decision. The AHP technique was used in converting the various qualitative and quantitative evaluation values into a single measure for the certification decision.