• Journal of Preventive Medicine and Public Health
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• 제34권4호
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• pp.437-443
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• 2001

Objectives : This study was peformed to assess the association between the social support and blood pressure(BP) in a rural community. Methods : A cross-sectional survey, comprising a health examination including BP, height and weight and a questionnaire-based interview which investigated social support, demographic factors, smoking, drinking, and etc. was peformed between February 10th and March 5th, 1998. The survey included 318 persons who were over than 30-year-old in the rural community of Kwangju, Republic of Korea. We excluded persons who taking antihypertensive medications or who provided incomplete information; we subsequently analyzed the data from 284 persons. In order to test the hypothesis of an association between BP and social support controlling confounders such as age, educational level, working time, body mass index, smoking and drinking, the data was analyzed using multiple linear regression analysis. Results : The subjects were composed of 109(38.4%) males and 175(61.6%) females with mean ages of 62.0 years and 61.1 years, respectively. The hypertension prevalence was 41.3% among males and 45.1% among females. In the correlation analysis, higher total social support scores correlated significantly with lower systolic BP in both males and females. The hypertension prevalence increased significantly with the decreasing of the social support in males. In multiple regression analysis, systolic and diastolic blood pressure showed a negative association with social support in both males and females, although this was not statistically significant. Conclusions : Larger and broader studies are required in the future in order to identify the association between the social support and BP.

• 한국항만경제학회지
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• 제34권4호
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• pp.181-190
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• 2018

본 연구는 2012년 1월부터 2018년 5월까지의 주별 건화물선 운임과 원자재 가격 자료를 사용하여 두 변수간의 비대칭적인 관계를 다음의 두 가지를 중심으로 실증 분석한다. 첫째, 원자재가격의 거시경제지표에 대한 비대칭성을 2단계 경계(threshold) 공적분 검정모형으로 추정한다. 둘째, 기존의 원자재가격 변화의 무역수지에 대한 비대칭관계 검정을 보다 고빈도 건화물선 운임지수로 우회해서 검정한다. 추정결과 기존의 선형 분석과 대조적으로 하한과 상한에 대한 각각의 경계값이 상이한 비대칭성을 갖는 것으로 드러났다. 이는 불규칙적인 수익률 변동을 유발하는 급격한 잔차의 변동 구간이 원자재 가격과 건화물선 운임간의 선형의 장기균형관계가 성립하지 않도록 함을 의미한다. 따라서 이상의 추정결과는 급격한 가격 변화를 분석에 고려하기 위해서는 불규칙(irregular)적인 변동성을 제어하는 무반응(band of inaction)구간을 모형에 포함하는 것이 필요함을 의미하며 기존의 원자재가격의 무역수지에 대한 비대칭성과 일치하는 실증분석 결과다.

• 한국산학기술학회논문지
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• 제20권6호
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• pp.548-556
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• 2019

본 연구의 목적은 식생활라이프스타일과 인구통계적 특성이 외식영양표시 외식업체의 브랜드이미지에 미치는 영향을 분석하여 외식업체의 차별화된 브랜드 이미지 전략을 수립을 위한 마케팅의 기초자료를 제공하는데 있다. 연구분석을 위해 SPSS 21.0 (ver.) 프로그램, 빈도분석 및 기술통계, 요인분석 및 신뢰도분석, 상관관계 분석, 다중선형회귀분석 등을 실시하여 가설을 검증하였다. 그 결과 거주지에서 수도권은 안전추구, 비수도권은 맛추구, 안전추구, 성별에서 남성은 건강추구, 맛추구, 안전추구, 여성은 안전추구일수록 외식영양표시 외식업체에 대한 브랜드이미지가 상승하였다. 연령에서 20대는 맛추구, 30대와 40대는 안전추구, 결혼여부에서 기혼과 미혼 모두 안전추구일수록 외식영양표시 외식업체에 대한 브랜드이미지가 상승하는 것으로 분석되었다. 즉, 식생활라이프스타일이 안전추구, 건강추구일 경우 주거지, 연령, 성별, 결혼여부, 자녀유무와 관계없이 외식영양표시 외식업체에 긍정적인 브랜드이미지를 갖고 있다는 것을 알 수 있었다.

• 한국해안·해양공학회논문집
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• 제31권1호
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• pp.17-27
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• 2019

Bound mode의 외중력파와 이로 인한 보강간섭이 이상파 생성 기작이라는 가설을 확인하기 위해 OpenFoam 기반 Tool box인 ihFoam과 Bi-spectrum에 기초한 수치모의를 수행하였다. 수치모의는 건설 과정에서 이상파가 관측된 삼척 LNG 생산기지 전용부두를 대상으로 수행되었으며, Bound mode의 외중력파는 Bi-spectrum에 기반하여 출현빈도가 높은 주기가 7초인 국지 풍성파와 11.4초인 너울의 difference interaction으로 생성하였다. 또한 비교를 위해 비선형 Cnoidal wave, linear wave를 대상으로 한 수치모의도 병행하여 수행하였다. 모의결과 N 계열 bound mode의 외중력파에 의해 삼척 LNG 생산기지 전용부두를 따라 진행되는 연파가 생성되며, 이상파는 전술한 연파와 남측 도류제로부터의 반사파가 더해져 출현하는 것으로 모의되었다.

• 통합자연과학논문집
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• 제13권4호
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• pp.132-140
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• 2020

With the recent introduction of artificial intelligence (AI) technology, the use of data is rapidly increasing, and newly generated data is also rapidly increasing. In order to obtain the results to be analyzed based on these data, the first thing to do is to classify the data well. However, when classifying data, if only one classification technique belonging to the machine learning technique is applied to classify and analyze it, an error of overfitting can be accompanied. In order to reduce or minimize the problems caused by misclassification of the classification system such as overfitting, it is necessary to derive an optimal classification by comparing the results of each classification by applying several classification techniques. If you try to interpret the data with only one classification technique, you will have poor reasoning and poor predictions of results. This study seeks to find a method for optimally classifying data by looking at data from various perspectives and applying various classification techniques such as LDA and QDA, such as linear or nonlinear classification, as a process before data analysis in data analysis. In order to obtain the reliability and sophistication of statistics as a result of big data analysis, it is necessary to analyze the meaning of each variable and the correlation between the variables. If the data is classified differently from the hypothesis test from the beginning, even if the analysis is performed well, unreliable results will be obtained. In other words, prior to big data analysis, it is necessary to ensure that data is well classified to suit the purpose of analysis. This is a process that must be performed before reaching the result by analyzing the data, and it may be a method of optimal data classification.

• 한국항공우주학회지
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• 제49권4호
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• pp.311-320
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• 2021

무인기용 터보제트엔진의 운전 중 발생하는 고장을 실시간으로 진단하기 위한 방안 및 성능 열화와 관련된 건정성 추정에 관해 연구하였다. 이를 위해서, 동적 열역학 가스경로해석을 통한 비선형 동특성 방정식으로부터 실시간 선형모델을 도출하였고, 연출된 운전상황과 고장 발생을 실시간으로 진단하기 위해 칼만필터와 가설 검증에 기초한 확률적 판단 기법을 적용하였다. 이 결과, 분명한 고장 검출과 분리 성능을 보임으로써 그 효용성을 확인하였다. 측정변수를 통한 건전성 추정과 관련하여, 실제 엔진 구성품의 성능 열화 추이를 모사하였고, 적응형 칼만필터를 적용하여 추정 기법의 타당성을 입증함으로써, 상태 기반 고장 진단 및 정비 기법에 효과적으로 사용될 수 있음을 보였다.

• 유통과학연구
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• 제20권8호
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• pp.93-103
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• 2022

Purpose: Online shopping festivals have quickly become the newest trend in online shopping worldwide due to the COVID-19 pandemic. This has led to marketing distribution channels that traditionally emphasized traditional techniques having turned to electronic commerce platforms. Although the pandemic scenario encourages online purchasing, other factors, such as the influence of participation intention to shop during the Online Shopping Festival, must also be considered. Research design, data and methodology: Multiple linear regression analysis was used to test the hypothesis based on data from 121 respondents who are actively involved with online shopping activities in Klang Valley, Selangor. Results: The results of this study show that promotion categories and the perceived influence of mass participation have a significant influence on participation intention. Meanwhile, the perceived temptation of price promotion and perceived fun promotional activities did not significantly influence participation intention. Conclusions: Theoretically, this study contributes to the literature by using the Theory of Planned Behavior and Stimulus-Response models to explain the factors that drive participation intention for online shopping. In practice, this study attracts and encourages customers to shop during the festival day because various attractive promotions are offered by sellers in Malaysia.

• Journal of Astronomy and Space Sciences
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• 제39권2호
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• pp.43-50
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• 2022

The unified scheme of Seyfert galaxies hypothesizes that the observed differences between the two categories of Seyfert galaxies, type 1 (Sy1) and type 2 (Sy2) are merely due to the difference in the orientation of the toroidal shape of the obscuring material in the active galactic nuclei. We used in this paper, a sample consisting of 120 Seyfert galaxies at 1.40 × 10⁹ Hz in radio, 2.52 × 10¹⁷ Hz in X-ray and 2.52 × 10²³ Hz in γ-ray luminosities observed by the Fermi Large Area Telescope (Fermi-LAT) in order to test the unified scheme of radio-quiet Seyfert galaxies. Our main results are as follows: (i) We found that the distributions of multiwave luminosities (L_radio, L_X-ray, and L_γ-ray) of Sy1 and Sy2 are completely overlapped with up to a factor of 4. The principal component analysis result reveals that Sy1 and Sy2 also occupy the same parameter spaces, which agrees with the notion that Sy1 and Sy2 are the same class objects. A Kolmogorov-Smirnov test performed on the sub-samples indicates that the null hypothesis (both are from the same population) cannot be rejected with chance probability p ~ 0 and separation distance K = 0.013. This result supports the fact that there is no statistical difference between the properties of Sy1 and Sy2 (ii) We found that the coefficient of the best-fit linear regression equation between the common properties of Sy1 and Sy2 is significant (r > 0.50) which plausibly implies that Sy1 and Sy2 are the same type of objects observed at different viewing angle.

• Journal of Korea Trade
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• 제24권8호
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• pp.121-132
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• 2020

Purpose - The principle aim of this study is to further investigate the relationship between market diversity and export performance. We examine the benefits and costs of geographic market diversity regarding the number of countries exported to by firms on their export performance. Based on the financial risk reduction model and the entry costs model, we propose a way to incorporate the costs and benefits aspects of market diversity. Design/methodology - To empirically investigate our research question, the curvilinear relationship between market diversity and export performance, we built a secondary panel data set between 2015 and 2019, containing 17,863 observations of Korean exporting companies. A generalized least squares panel estimator with fixed effects was employed to test the hypothesis, and the statistical package, Stata 14, was used. Findings - Our main findings are as follows: As market diversity increases, export performance increases because exporters can diversify and reduce financial risks in export markets. However, the relationship between the two does not grow. As it peaks, the entry costs increase due to the high market diversity, thereby outweighing the benefits, leading, eventually to decrease in the export performance. Consequently, there is an inverted U-shaped relationship between market diversity and export performance. Originality/value - In the export and trade literature, the impact of market diversity on export performance has not been addressed yet, despite the importance of this subject. Many scholars have assumed a positive linear relationship between the two, considering only the decrease in market risks as the number of overseas markets increases, without examining the increase in the entry and management costs. Therefore, our study contributes by providing a new perspective for analyzing the characteristics and outcomes of market diversity.

• International Journal of Computer Science & Network Security
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• 제22권3호
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• pp.67-76
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• 2022

COVID-19 struck labor markets around the world, exposing and exacerbating the gender inequalities within the human capital structure. The last, in its turn, jeopardizes the return of the national economies to the growth trajectory undermined by pandemic impact. The authors assume that COVID-19 disproportionately affected the employment rates of women and men, which led to increased gender inequality in the labor market, which, in turn, affected GDP growth rates in the EU. To prove this hypothesis two research questions are discovered: 1) whether there was a different correlation between the number of COVID-19 cases in the EU and indicators of the labor market for women and men; and 2) whether there was a link between the growth of gender inequality in the EU labor market and the GDP dynamics in these countries. The analysis of the correlation between the number of cases of COVID-19 and indicators of the labor market in the EU revealed faster growth of women's unemployment rates compared to men's ones as the COVID-19 incidence unfolded. Multiple linear regression and factor analysis have been used to investigate the influence of gender inequality in the labor market on GDP dynamics. Despite the methodological limitations, the proposed model is both a sound argument and an analytical basis in favor of gender-responsive economic recovery backed by the systematic and consistent gender equality policy of a government.