• Journal of Cadastre & Land InformatiX
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• v.45 no.2
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• pp.217-235
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• 2015

The study has analyzed the determinants of retail rents for the franchised coffee shop with the Multi-Regression analysis in Seoul. Central place, agglomeration, and demand-externality theories provide the basis for empirical models. The data used in this study consisted of 2,000 retail units in Seoul. As the results, the results show that coffee shop of retail sales per $3.3m^2$ and characteristic of retail trade-areas, and characteristic of coffee shop affects on the coffee shop's rents per $3.3m^2$. Coffee Shop's sales are the major determinant of coffee shop's rents. Also, coffee shop's goodwill per $3.3m^2$ and rental bond per $3.3m^2$ are positively correlated with a coffee shop's rents. Additionally, number of wholesale company and manufacturers in the retail trade-areas influences coffee shop's rent per $3.3m^2$. In summary, the study shows that coffee shop's brand identity, location and retail mix in the retail trade areas affects a coffee shop's rent per $3.3m^2$.

• The Journal of Korean Medicine
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• v.40 no.4
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• pp.49-60
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• 2019

Objectives: To develop a standardized diagnostic pattern identification equation for stroke patients, our group conducted a study to derive the predictive logistic equations. However, the sample size was relatively small. In the current study, we aimed to derive new predictive logistic equations for each diagnostic pattern using an expanded number of subjects. Methods: This study was a hospital-based multi-center trial recruited stroke patients within 30 days of symptom onset. Patients' general information, and the variables related to diagnostic pattern identification were measured. The diagnostic pattern of each patient was identified independently by two Korean Medicine Doctors. To derive a predictive model for pattern identification, binary logistic regression analysis was applied. Results: Among the 1,251 patients, 385 patients (30.8%) had the Fire Heat Pattern, 460 patients (36.8%) the Phlegm Dampness Pattern, 212 patients (16.9%) the Qi Deficiency Pattern, and 194 patients (15.5%) the Yin Deficiency Pattern. After the regression analysis, the predictive logistic equations for each pattern were determined. Conclusion: The predictive equations for Fire Heat, Phlegm Dampness, Qi Deficiency, and Yin Deficiency would be useful to determine individual stroke patients' pattern identification in the clinical setting. However, further studies using objective measurements are necessary to validate these data.

• Korean Chemical Engineering Research
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• v.46 no.3
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• pp.567-570
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• 2008

The present study investigated the applicability of the minium fludization velocity measuring method using linear regression analysis between the standard deviation of pressure fluctuation and gas velocity in multi-particle sand on a fluidized bed 0.109 in inner diameter. We measured minium fludization velocity according to the standard deviation of particle distribution in Gaussian distribution. The measured value compared with other researchers' equations. The minium fludization velocity derived from the linear regression analysis of the standard deviation of pressure fluctuation and pressure drop inside the bed. We also found that the minium fludization velocity of a multi-particle system using the standard deviation of pressure fluctuation must be measured at freely bubbling region.

• International Journal of Highway Engineering
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• v.10 no.4
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• pp.139-150
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• 2008

In this study, It is focused on development of the forecasting model about trumpet InterChange(IC) ramp accident because of the frequency of accident in ramp more than highway basic section and trend the increasing accident in ramp. The independent variables was selected through statistical analysis(correlation analysis, multi-collinearity etc) by ramp types(direct, semi-direct and loop). The independent variables and accident rate is non-linear relationship. So it made new variables by transformation of the independent variables. The forecasting models according to exit-ramp type (direct, semi-direct and loop) are built with statistical multi-variable regression using all possible regression method. And the forecasts of the models showed high accuracy statistically. It is expected that the developed models could be employed to design trumpet IC ramp more cost-efficiently and safely and to analyze the causes of traffic accidents happened on the IC ramp.

• Journal of Korea Game Society
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• v.17 no.2
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• pp.123-134
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• 2017

The purpose of this study is to investigate how teachers' acceptance of digital games is constructed in the school context and what factors influence teachers' acceptance. To do this, we conducted a survey on teachers, school counselors, and professional counselors in August 2016. A total of 250 data were analyzed. As a result, it was confirmed that the teachers' acceptance of digital game is composed of 5 factors - need for supervision, willingness to use, concern & monitoring, acceptance as alternative activities, acceptance efficacy. As a result of multi-variate multiple regression analysis, it was found that the teacher's age, the 2 factors of digital media literacy, the teacher's attitude toward student's digital game usage, and teacher's evaluation of the impact of digital games on school achievement have different effects on the 5 factors of teachers' acceptance. This study is meaningful to identify how teachers' acceptance of digital games is constructed and to explore the main factors affecting teachers' acceptance of digital games.

• Journal of Korean Society for Atmospheric Environment
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• v.10 no.4
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• pp.224-232
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• 1994

A new neural network model has been developed to predict short-term air pollution concentration. In addition, a multiple regression model widely used in statistical analysis was tested. These models were applied for prediction of daily maximum ozone concentration in Seoul during the summer season of 1991. The time periods between May and September 1989 and 1990 were utilized to train set of learning patterns in neural network model, and to estimate multiple regression model. To evaluate the results of the different models, several Performance indices were used. The results indicated that the multiple regression model tended to underpredict the daily maximum ozone concentration with small r$^{2}$(0.38). Also, large errors were found in this model; 21.1 ppb for RMSE, 0.324 for NMSE, and -0.164 for MRE. On the other hand, the results obtained from the neural network model were very promising. Thus, we can know that this model has a prominent efficiency in the adaptive control for the non-linear multi- variable systems such as photochemical oxidants. Also, when the recent new information was added in the neural network model, prediction accuracy was increased. From the new model, the values of RMSE, NMSE and r$^{2}$ were 13.2ppb, 0.089, 0.003 and 0.55 respectively.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.34 no.10
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• pp.389-398
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• 1985

Recently maximum power demand of our country has become to be under the great in fluence of electric cooling and air conditioning demand which are sensitive to weather conditions. This paper presents the technique and algorithm to forecast the long-term maximum power demand considering the characteristics of electric power and weather variable. By introducing a weather load model for forecasting long-term maximum power demand with the recent statistic data of power demand, annual maximum power demand is separated into two parts such as the base load component, affected little by weather, and the weather sensitive load component by means of multi-regression analysis method. And we derive the growth trend regression equations of above two components and their individual coefficients, the maximum power demand of each forecasting year can be forecasted with the sum of above two components. In this case we use the coincident dry bulb temperature as the weather variable at the occurence of one-day maximum power demand. As the growth trend regression equation we choose an exponential trend curve for the base load component, and real quadratic curve for the weather sensitive load component. The validity of the forecasting technique and algorithm proposed in this paper is proved by the case study for the present Korean power system.

• Journal of Family Relations
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• v.23 no.2
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• pp.133-155
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• 2018

Objectives: This study examined the differences in the intention of having a second child and the related factors among Chinese and Vietnamese migrant women from the perspective of adaptation theory. Methods: Data were drawn from the National Survey on Multi-Cultural Families in 2009 and 2015. Among the total 7,615 married migrant women (Korean-Chinese, Chinese-Han, Vietnamese), those within the age group 20-39 within the first 5 years of marriage who had one child were selected. A frequency analysis, chi-squared test, and logit regression analysis were performed. Results: Different ethnic groups had different reasons for having a second child and the related factors also differed between 2009 and 2015. In 2009, after controlling the related variables, the intention of Korean-Chinese and Chinese-Han married immigrant women to have a second child was higher than that of Vietnamese women, but no such difference was found in 2015. Participation in their local community, first marriage, the gender of the first child, and whether they were living with their parents-in-law were associated with the intention of migrant women having a second child in the 2009 analysis model but these factors were not significant in the 2015 analysis model. In the latter model, the household income, a variable related to economic conditions, has a positive effect on the intention of having a second child. Conclusions: The significance of this study supports adaptation theory by addressing the similarity in the childbirth intention between recently married immigrant women and Korean women.

• Journal of the Korean Graphic Arts Communication Society
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• v.30 no.1
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• pp.71-81
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• 2012

A research framework and hypothesis were established for analysing layout-factors of bus wrapping which influence on brand attitude. 130 questionnaire were distributed and 123 copies were retreated at metropolitan area. SPSS 12.0 was used for frequency analysis, factor analysis, and reliability analysis. For testing hypothesis multi-regression analysis were utilized. Attention, readability, explicitness, formativeness, creativity are partially significant to establish brand attitude. Attention and readability are insignificant, while explicitness, formativeness, creativity are significant to establish brand attitude. The most effective independent variables are creativity, and explicitness and formativeness are followed. In particular sensual, original, fresh layout of bus wrapping are highly significant.

• Korean Journal of Adult Nursing
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• v.21 no.6
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• pp.639-651
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• 2009

Purpose: This study examined relationships among stress, stress coping strategies, and somatization in mothers-in-law from multi-cultural families in a rural area. Methods: Elderly mothers-in-law (n=227) living with foreign daughters-in-law completed a self-reporting questionnaire. Data were collected from April to August 2009. Questions related to stress (Visual Analog Scale, VAS), coping strategies (Coping Strategy Scale) for stress, and somatization (Symptom Check List 90, Revised). SPSS/WIN 12.0 program was used for descriptive analysis, t-test, one-way ANOVA, Pearson correlation, and multiple regression analyses. Results: Subjects had a moderate level of stress (5.03). There were significant differences in stress level according to age, educational level, religion, chronic disease, health status, number of children, agreement of an international marriage of her sons, satisfaction in living with a foreign daughter-in-law, and family conflict. Stress showed a significant positive correlation with offensive coping strategy, passive strategy, and somatization. Stress, offensive coping strategy, and passive coping strategy affected the level of somatization. Conclusion: In a family situation involving co-habitation of mother- and foreign daughter-in-law, increased stress experienced by the mother-in-law can lead to increased offensive and passive coping strategies, and increased somatization. More effective means of stress reduction are needed for mothers-in-law from multi-cultural families.