• 한국환경과학회지
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• 제25권7호
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• pp.1007-1016
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• 2016

Environmental policy implementation has been strengthened to protect the source waters in Korea and to improve their water quality. Increasing of non-point source caused water quality problem continuously. Research on runoff from forests, which occupy over 65% of the land in korea, is insufficient, and studies on the characteristics and influences of storm runoff are necessary. In this study, we chose to compare the effects of land use in the form of two types of forest distribution and then gathered data on storm characteristics and runoff properties during rainfall events in these areas. Furthermore, the significance and influences of the discharges were analyzed through correlation analysis, and multilateral runoff characteristics were examined by deducing a formula through $COD_{Mn}$ and TOC regression analysis. At two forest points, for which the basin areas differed from each other, flow changed according to storm quantity and intensity. The peak discharge at point A, where the basin area was big, was high, whereas water-quality fundamental items (BOD, $COD_{Mn}$, and SS) and TOC density were high at point B where the slope and storm intensity were high. Effects of dissolved organic matter were determined through correlation analysis, and the regression formulas for $COD_{Mn}$ and TOC were deduced by regression analysis. It is expected that the data from this study could be useful as basic information in establishing forest management measures.

• 한국농공학회논문집
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• 제56권1호
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• pp.61-70
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• 2014

South Korea is under pressure to reduce $CO_2$ emissions because of expanding request for reducing $CO_2$ emissions. In many industry sectors, $CO_2$ emissions were analyzed to reduce $CO_2$ emissions. But little effort in researching agricultural sector has been undertaken because it is recognized as environmentally friendly industry. The object of this research is to estimate $CO_2$ emissions of crops and analysis on correlation between $CO_2$ emissions and production, acreage of crops. In this study, environmental input-output analysis was used to estimate $CO_2$ emissions of agricultural sector and spearman correlation coefficient was used to analysis on correlation between $CO_2$ emissions and statics like production and acreage. As a result, rice, barley, pulses and horticultural specialities had correlation with acreage and correlation coefficients of these crops were 0.800~0.933. Regression equations about $CO_2$ emissions and acreage of rice, barley, pulses and horticultural specialities was made and $R^2$ of these equations were 0.615~0.929. Using equations, $CO_2$ emissions of rice, barley, pulses and horticultural specialities can be estimated with acreage.

• 한국수자원학회논문집
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• 제43권5호
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• pp.471-482
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• 2010

수문학적 물순환과정에서 강우는 여러 기상학적 인자들과 밀접한 관련을 갖으며 발생한다. 따라서 본 연구에서는 대표적인 수문기상인자인 해수면온도와 한반도에 발생하는 월강우량 사이의 관계에 대하여 분석하였다. 우리나라의 61개 지점의 월평균 강우량과 위도 및 경도 자료를 이용하여 군집분석을 수행하였다. 군집 분석 결과에서 우리나라의 월강우자료를 이용하여 크게 4개의 군집으로 구분할 수 있었다. 군집별로 구분된 강우관측소의 월강우량 자료들을 주성분을 추출하였다. 추출된 주성분과 해수면온도와의 상관성 분석을 수행하였다. 상관성 분석 결과에서 양(+)의 상관관계가 음(-)의 상관관계보다 더 크게 나타났다. 또한, 상관관계가 가장 큰 지점의 해수면온도를 이용하여 3개월의 월강우량을 지역가중다항식을 통해 예측하였다. 지역가중다항식을 통한 예측 결과는 군집에 따라 정확성에 차이는 있으나, 정량적인 예측이 가능한 것으로 판단되었다. 따라서 해수면온도와 같은 수문기상인자를 통한 강우량의 예측에 대한 지속적인 연구가 필요하다.

• 대한방사선기술학회지:방사선기술과학
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• 제46권4호
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• pp.303-313
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• 2023

This study aimed to investigate the relevance of cardiovascular disease risk factors AI and AIP, divided into three groups, among 300 individuals who underwent health checkups at the hospital. Various variables such as Age, Sex, BMI, WC, TC, TG, HDL-C, LDL-C, FBS, HbA1C, SBP, DBP, HR, AI (TC/HDL-C), and AIP (log(TG/HDL-C)) were analyzed using statistical methods including frequency analysis, cross-tabulation, one-way ANOVA, Pearson's correlation analysis, and multiple linear regression analysis. The cross-analysis based on cardiovascular disease risk criteria revealed that men and individuals in their 50s had higher cardiovascular disease risk based on AI and AIP. Significant differences were observed in TG, TC, HDL-C, LDL-C, SBP, DBP, AI (TC/HDL-C), and AIP (log(TG/HDL-C)) according to AI criteria. For the AIP criteria, TG, TC, HDL-C, FBS, HbA1C, HR, AI (TC/HDL-C), and AIP (log(TG/HDL-C)) were identified as cardiovascular disease risk factors. FBS and HbA1c showed the highest positive correlation In the correlation analysis, followed by TC and LDL-C. The lowest positive correlation was observed between LDL-C and DBP. In terms of negative correlation, HDL-C and AI had the highest negative correlation, while LDL-C and TG showed the lowest negative correlation. Multiple regression analysis indicated that the AI and AIP risk criteria had explanatory powers of 73.6% and 72.5%, respectively. HDL-C had the greatest negative effect on the AI risk criterion, while TG had the most significant influence on the AIP risk criterion. In conclusion, while other serological variables are important, managing HDL-C and TG levels may help reduce the risk of cardiovascular disease.

• 한국콘텐츠학회논문지
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• 제17권5호
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• pp.165-173
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• 2017

본 연구의 목적은 한국 주식시장과 인접한 동아시아 주식시장과의 상관관계와 변동성을 분석하는데 있다. 동아시아 주식시장은 한국과 지리적으로 경제적으로 가까운 일본과 중국, 홍콩, 대만을 선정하였다. 한국과 동아시아 주식시장간 상관관계와 변동성을 파악한다면 투자 예측에 도움이 될 수도 있다. 또한 글로벌 포트폴리오 차원에서 자산배분의 투자위험을 감소할 수도 있다. 이를 위해 지난 163개월 동안의 국가별 월별 수익률 자료를 이용하여 상승률과 상관계수, 회귀분석 등을 산출하고 비교 분석하였다. 상관관계를 분석한 결과 한국은 대만이나 홍콩과 높은 상관관계를 보인 반면 중국과는 낮은 상관관계를 보여주었다. 중국은 홍콩을 제외하고 다른 국가와 낮은 상관관계를 보여 동아시아에서 독자적인 시장을 형성하고 있었다. 홍콩은 동아시아 주식시장 내 다른 국가와 동행성이 가장 높은 시장으로 판단되어 홍콩시장이 동아시아 주식시장의 방향성을 제시할 수도 있다.

• 한국의류학회지
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• 제27권11호
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• pp.1179-1189
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• 2003

This study had a focus on service quality, customer satisfaction and relationship orientation. The subjects of this study were: 1) to examine the conceptual structure of service quality perceived by males consumers of character clothing brands, 2) to examine of the service quality on customer satisfaction, and 3)to examine relationship between customer satisfaction and relationship orientation. The questionnaire was collected between October, 28 and November, 8 in 2002. Samples of 271 respondents were obtained. The sample consisted of males in their twenties and thirties who had a experience on buying character clothing brands in Seoul. To analyze the data, reliability analysis, percentage, frequency analysis, factor analysis, correlation analysis, and regression analysis were applied. The results were as followings: 1) As a result of factor analysis, the service quality were identified by four dimensions: environmental service, personal service, products service, and promotion service. 2) As a result of correlation analysis and regression analysis, the service quality had a positive influence on customer satisfaction. Especially products service was the most important factor for customer satisfaction, followed by environmental service. 3) As a result of correlation analysis, customer satisfaction had a positive influence on relationship orientation.

• 한국조명전기설비학회:학술대회논문집
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• 한국조명전기설비학회 2001년도 학술대회논문집
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• pp.199-202
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• 2001

This paper presents the correlation on the contamination degree and weather conditions using the multiple regression of the statistic method. The cotamination is a significant factor in the insulation system. The major factor is natural contamination, and the most is the salt. The salt contamination is occured by the weather conditions. The weather contaminations are wind, precipitation, temperature, relative humidity, etc. The effects of those are different, and the correlation is showed numerically by using the multiple regression method of the statistic method. With this, the estimation of the equivalent salt deposit density(ESDD) becomes possible by the changes of the weather conditions.

• 경영과학
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• 제30권2호
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• pp.117-132
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• 2013

The objective of this paper is to provide an improved technology appraisal model, which considers a variety of macroeconomic variables such as consumer price index and producer price index. The improved model was built using cross correlation analysis and logistic regression analysis. The AUROC analysis showed that goodness-of-fit of the proposed model turned out to be improved than that of the existing model. The model proposed in the paper would be helpful for making a reasonable investments and financing decision, lessening the default rates by systematic risk management, and enhancing the technology commercialization capabilities.

• 복식문화연구
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• 제5권4호
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• pp.130-158
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• 1997

This study outputs calculation of regression of each items for production of torso basic pattern according to 6 body types as the result of another study and intends to present drawing method of torso model by short measure method modified and supplied and supplied by experiments of wearing clothing. SAS(Statistical Analysis System) is used for figures management and methods for analysis used are Frequency Analysis, Means Analysis, Regression Analysis, Correlation Analysis, etc. Results are as follows. 1. Correlation analysis is used to output the size necessary for torso prototype drawing by sort measure method and waist front length, back length, crotch length, shoulder point-cerricale-shoulder point, bust circumference, waist circumference, weight, etc, are set up as representative items calculation of regression of each type is suggested. 2. In the result of experiment of the first wearing clothing intended for 5 in each type and the whole 30, to develop torso prototype drawing method by short measure method, as we find some problems of the shape and propriety of neck root circumference line, the position of shoulder point, pulling or hold armpit parts, waist circumference line, the degree of dissatisfaction is high, so the second experiment of wearing clothing is propriety of each part is improved, all items except the length and quantity of shoulder dart, waist in back bodice, clearance quantity of hip circumference, and the place of shoulder line in side bodice. So, it was modifed and supplied and then the third torso prototyped drawing method by shout measure method was suggested. The third prototype drawing method was suggested, by modifying and supplying.

• Journal of Biosystems Engineering
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• 제22권2호
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• pp.247-255
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• 1997

This study was conducted to develop regression models predicting sugar and acid contents in intact fruits nondestructively by using the second derivative of absorbance spectrum measured with a spectrophotometer wavelength range of 400nm to 2, 400nm. The correlation analysis was made in wavelength range of 600nm to 1, 100nm and 600nm to 2, 400nm respectively, in order to examine the feasibility of using a real time spectrophotometer, which covers the former range, in predicting sugar and acid contents. The second derivative data of the spectrum were obtained by varying smoothing size and derivative size of the original absorbance spectrum. SAS statistical package program was used for the regression analysis. The sugar contents of Fuji apple, Shingo pear md Yumyung peach could be predicted with SEPs of 0.40, 1.17 and 0.77 respectively, in the spectrum range of 600 to 1, 100nm. The highest correlation coefficient of the titratible acidity of apple was -0.45 at 2, 346nm and regression models indicated determination coefficient less than 0.47.