• Journal of the Korean Society of Tobacco Science
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• v.25 no.2
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• pp.144-153
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• 2003

This study was carried out to determine the relationship between smoke components and sensory evaluation by changes tobacco leaf blending. Seven different cigarettes were made by adding different types of oriental, reconstituted and expanded tobacco leaves. 62 kinds of smoke components which were 6 of general components, 34 of semi-volatile and volatile components, 9 of acid components, and 13 of phenolic components were analyzed. Eight kinds of sensory item were evaluated and also electronic nose system data was collected. All smoke components and sensory characteristics of mainstream smoke were changed by the different blending. To determine the relationship between smoke components and sensory test, the correlation and regression analysis were carried out by using SPSS statistical program. Tar, pH, and CO showed a high correlation with sensory evaluation item. As tar related to hotness, CO have a high correlation with offensive aroma. Semi-volatile and volatile components of smoke related to sensory characteristics such as aroma, taste, irritation, hotness and smoothness. When propylene, l,3-butadiene, butane, isoprene, and 2-methylfuran showed a high correlation with aroma; methyl chloride, methanol, toluene, ethyl benzene showed a high correlation with irritation. Some acidic components and phenolic components of smoke also had a high relation to smoke volume. Especially the acidic components such as 2-furoic acid, 2-hydroxybutyric acid, phenylacetic acid and palmitic acid; the phenolic components such as 4-vinyl phenol, pyrocatechol, 3-methyl catechol, hydroquinone showed a high correlation with smoke volume. As using regression analysis, it was possible to estimate the results of sensory evaluation from the smoke analysis data. From the results of electronic nose system analysis, we can find the different pattern by adding expanded tobacco leaf.

• KIEAE Journal
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• v.12 no.6
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• pp.93-98
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• 2012

The concerns on high ozone concentration phenomenon is significantly growing in Seoul metropolitan area including the industry complex area, like Shiwha Banwol area. The aims of this research is the analysis of relationship between high concentrations of $O_3$ and solar radiation parameters in atmosphere. The understanding of the effects of solar radiation intensity, humidity, high air temperature on ozone concentration in a day is very useful to provide a direction for reducing of the high ozone concentration to a local government or a metropolitan government. The correlation analysis between maximum ozone concentration and various meteorological parameters in 2009 - 2011 carried out using IBM's SPSS program. The results showed that the mean correlations coefficient (R) between daily Ozone maximum and solar radiation resulted R = 0.64 during 2011. May - September in 10 air pollution stations. In case of correlations between daily ozone maximum and relative humidity showed negative correlation R = -0.61. The correlation analysis with mean air temperature during 1-3 PM resulted R = 0.29. This low correlation coefficient could be corrected by using of categorized data of ozone concentration. The daily maximum ozone concentration is more dependent on peak solar radiation and high air temperature during 1-3 PM than its simple daily maximum values. The results of this research would be used to develop the high ozone alert system around Seoul metropolitan area. This correlation analysis could be partially integrated to prediction of ozone peak concentration in connection with other methods like classification and regression tree(CART).

• Journal of the Korean Association of Geographic Information Studies
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• v.8 no.4
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• pp.52-60
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• 2005

This paper attempted to investigate not only the correlativity of land price and residential environment elements but also the effect that the residential environment elements influence on the land price, focusing on the Suyoung-Gu and Haeundae-Gu which are representative residential and waterfront area in Pusan. For this purpose, regression analysis and correlation analysis as the residential environment elements in independent variable and the land price in dependent variable were carried out. First of all, from the correlation analysis between the land price and the residential environment elements, it become clear that the variables such as the land use, the distance to arterial road and, the distance to subway station have high correlativity with land price in all the research area. Then from the individual power of explanation and accumulative power of explanation of the each variable to the land price through the regression analysis, it was become clear that 7 variables which are the land use, the distance to trunk road, the distance to subway station etc. have 67% of the power of explanation to land price at the Suyoung-Gu, and 50.5% at the Haeundae-Gu. Moreover, researchers had an special interest in the correlativity between the distance to the coastal line and land price as well as the power of explanation of the distance to the coastal line for the land price. It means that researchers expected the variable of the distance to the coastal line have a strong correlativity and high power of explanation for land price. However, from the regression analysis and correlation analysis, it was become clear that the variable of the distance to the coastal line have a weak correlativity, and low power of explanation which is just form 6.4% to 7.6% in all the research area. In other words, it might be said that the variable of the distance to the coastal line is not so important one to presume the land price.

• Journal of ILASS-Korea
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• v.6 no.4
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• pp.22-30
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• 2001

The objective of this study is to develop the new equations for the calculation of higher heating values(HHVs) of reformed diesel fuels by ultrasonic treatment. Therefore, higher heating values of reformed diesel fuels by ultrasonic treatment are determined experimentally and calculated from their viscosity and surface tension measurements. The HHVs of the fuels are supposed to be a function of viscosity(Pa s) and surface tension(N/cm). The equations developed for the samples represent the correlation obtained by means of regression analysis. The HHVs calculated by developing new equations using viscosities showes the differences from the measured values ranging from -0.66 to 1.19 % and the correlation coefficient was -0.9411. The HHVs calculated by developing new equations using surface tensions showed the differences from the measured values ranging from -0.70 to 1.51 % and the correlation coefficient was 0.9999. The viscosity and the surface tension are characteristic properties of ultrasonic reformed diesel fuels for developing new formulae.

• Textile Coloration and Finishing
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• v.5 no.4
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• pp.79-91
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• 1993

The purpose of this study is to prepare the newer, more comfortable of urea-formaldehyde resin finished fabrics. The methods of this study are by making examinations and comparisons the relations between the thickness, fabrics counts, weight, moisture regain and crease recovery of cotton and viscose rayon fabrics caused by condition of urea-formaldehyde resin finishing and warm retaining ability and warm-cool sense. The analytic results of thermal character in state of fabrics material finished with urea-formaldehyde are as follows: 1. The warm retaining ability has no correlation with mixing ratio of resin but the increase of the warm retaining ability has correlation with the increase of concentration of urea-formaldehyde resin. 2. The result pf multiple regression analysis for effect of physical property according to the concentration of resin to the warm retaining ability revealed as below. As the weight, thickness and density increase and moisture regain decreases, the warm retaining ability increases. 3. The qmax value has no correlation with mixing ratio of resin but the increase of the qmax value has correlation with the increase of resin concentration. In the end, the effect of it promotes cool sense. 4. The result of multiple regression analysis for effect of physical property according to the concentration of resin to the qmax value revealed as below. As he weight and thickness increase, the qmax value decrease. But, as the density and crease recovery increase, the qmax value increase.

• Journal of Korean Society for Atmospheric Environment
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• v.28 no.3
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• pp.273-281
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• 2012

The government is carrying forward a sustainable development which reduces green-house gas and environmental pollution by preparing 'Low Carbon Green Development' policy basis as a new paradigm of national development. This study aims to understand the status of atmosphere contamination which Seoul has by finding correlation among social, economical indexes and carbon, the humanities and social characteristic materials which best express types of city and correlation and to suggest implications. According to the results of the analysis, first the carbon emission volume of Seoul recorded 0.56 ppm, Jongno, Jung-Gu, Kuro, Kangnam and Songpa were more than the average of Seoul and Kwangjin-Gu & Kangbuk-Gu, relative north east regions, Yeongdeungpo-Gu and Dongjak-Gu, south west regions showed lower CO occurrences. Second, according to the correlation and factor analysis, elements which affect CO emission volume of Seoul are largely represented by regional level, traffic level and development density level. Third, when the importance of influence factors based on the analyzed standard coefficient by a regression model, traffic and development density level were most important by recording traffic level (0.967), environmental level (0.385), regional level (0.530) and development density (0.561). Consequently, it was revealed that the traffic level most affected CO emission.

• Journal of Acupuncture Research
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• v.33 no.2
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• pp.61-76
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• 2016

Objectives : This study was designed to clarify population-social characteristics that influence the utilization patterns of hospitalized patients in a traditional korean hospital, thereby providing clinical data which would help further improvements of traditional korean medical service in particular the Acupuncture and Moxibustion. Methods : We investigated population-social characteristics and annual utilization patterns of all patients who were hospitalized for more than 24 hours in a Korean Medical Hospital from January 2005 to December 2014. The obtained data were recorded in the EMR chart and statistical analysis was performed using SPSS 21.0. Additionally, data from the patients admitted to the department of Acupuncture and Moxibustion were analyzed separately. Results : 1. All inpatients had a significant annual difference in age, gender, hospitalized department, and disease code annually but not in re-hospitalization number. Inpatients of the department of Acupuncture and Moxibustion also varied in their age, gender, and disease code annually, but not in re-hospitalization number. 2. Pearson correlation analysis on all inpatients showed that the mean days of hospital treatments had a negative correlation with all variables except medical care insurance. Total cost, cost per day per person and recuperation cost had a positive correlation with all variables except medical care insurance. There was no meaningful relationship between nonrecuperation cost and the variables. 3. Stepwise multiple regression analysis on all inpatients showed that the mean days of hospital treatments had a negative correlation with all variables except automobile insurance. The total hospitalization costs had a positive correlation with both general insurance and medical care insurance. Cost per day per person and recuperation cost had a positive correlation with the females. There was no meaningful relationship between non-recuperation cost and the variables. 4. Pearson correlation analysis on inpatients of the department of Acupuncture and Moxibustion inpatients showed that the mean days of hospital treatments had a positive correlation with all variables except general insurance and automobile insurance. Total cost and recuperation cost had a positive correlation with all variables except medical care insurance, and cost per day per person had a positive correlation with females and general insurance. There was no meaningful relationship between non-recuperation cost and the variables. 5. Stepwise multiple regression analysis on inpatients of the department of Acupuncture and Moxibustion inpatients, the mean days of hospital treatments, total cost, cost per day per person and recuperation cost had a positive correlation with general insurance. There was no meaningful relationship between non-recuperation cost and the variables. Conclusion : Population-social characteristics of inpatients annually varies, and the change influences the utilization pattern.

• Journal of Korean Academy of Nursing
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• v.33 no.8
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• pp.1093-1110
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• 2003

Purpose. The number of elders in institutions has increased as family supporting systems have changed in Korea. The purpose of this study were to understand the life satisfaction among elders in institutions and to identify the factors influencing on life satisfaction. Methods. The instruments used were Yun(1982)'s scale modified Memorial University of Newfoundland Scale for Happiness(MUNSH) in life satisfaction, ADL and IADL in activity level, Self-rating Depression Scale(SDS) in depression and Norbeck Social Support Questionnaire(NSSQ) scale in social support. Also, Perceived health status was measured by Visual Graphic Rating Scale. The subject of this study is 107 cognitively intact and ambulatory elders in 7 institutions in Daegu city and Kyungpook province. The data have been collected from May 1 to June 30, 2001. For the analysis of collected data, frequency analysis, mean, standard deviation, Pearson's correlation and stepwise multiple regression analysis were used for statistical analysis by SPSS win(version 9.0) program. Results. Life satisfaction for the elders in institutions showed negative correlation with SDS, and positive correlation with activity level. The regression form of the stepwise multiple regression analysis to investigate the influencing factors of life satisfaction for the elders in institutions was expressed by y =90.988-0. 733x1-0.188x2-0.069x3-0.565x4 (xl: SDS x2: Social support x3: Activity level x4: Monthly pocket Money) and 57.9% of varience in life satisfaction was explained by the model. Conclusion. The factors influencing on life satisfaction among the elders in institutions were SDS, social support, activity level and monthly pocket money. According to the results of this study, depression, social support and activity level are considered the prime causal factors for life satisfaction.

• Journal of the Korean Society of Clothing and Textiles
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• v.36 no.9
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• pp.979-990
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• 2012

This study explores the correlation between personality traits, customer orientation, job satisfaction, and job performance. This study examines the impacts of personality traits and customer orientation on job satisfaction and job performance. Data were collected using a questionnaire survey. A convenience sample was drawn from salespeople working for department stores in Daegu and Pohang between September $1^{st}$ to $7^{th}$ 2011. A total of 337 responses were complete and usable questionnaires. Data were tested through factor analysis, correlation analysis, and regression analysis, using SPSS 12.0. Three main points are shown through this study. First, the correlation of all five factors extracted from salespeople personality traits with customer orientation was statistically significant. Personality traits and customer orientation were partially correlated with job satisfaction or job performance. Second, the regression analysis was conducted to examine the influence of personality traits and customer orientation on job satisfaction; subsequently, only two factors extracted from customer orientation (consideration for customers and customer-centered thinking) were significant predictors of job satisfaction. Third, the result of the regression analysis between personality traits and job performance showed that the most influential predictor of job performance was conscientiousness, followed by likeability, openness and introversion. The most influential factor between customer orientation and job performance was competence in providing product information, followed by consideration for customers, customer-centered thinking, and a reliability-focused response.

• Journal of Environmental Science International
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• v.24 no.6
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• pp.743-753
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• 2015

In this study, it is an object to develop a regression model for the estimation of TOC (total organic carbon) concentration using investigated data for three years from 2010 to 2012 in the Gam Stream unit watershed, and applied in 2009 to verify the applicability of the regression model. TOC and $COD_{Mn}$ (chemical oxygen demand) were appeared to be derived the highest correlation. TOC was significantly correlated with 5 variables including BOD (biological oxygen demand), discharge, SS (suspended solids), Chl-a (chlorophyll a) and TP (total phosphorus) of p<0.01. As a result of PCA (principal component analysis) and FA (factor analysis), COD, TOC, SS, discharge, BOD and TP have been classified as a first factor. TOCe concentration was estimated using the model developed as an independent variable $BOD_5$ and $COD_{Mn}$. R squared value between TOC and measurement TOC is 0.745 and 0.822, respectively. The independent variable were added step by step while removing lower importance variable. Based on the developed optimal model, R squared value between measurement value and estimation value for TOC was 0.852. It was found that multiple independent variables might be a better the estimation of TOC concentration using the regression model equation(in a given sites).