• Journal of the Korean Society of Costume
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• v.53 no.4
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• pp.1-16
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• 2003

The purpose of this study is to investigate the sensibility images of Korean Traditional Chumoni. The detailed methodology of this study is as follows. Selections of stimuli to analyse the sensibility images of Korean Traditional Chumoni were made up of 15 stimuli. The survey has been done for the 15 slide stimuli with semantic differential hi-polar scales which are consist of 23 couples of sensibility words. The subjects were 150 female students majoring in clothing and textile. 150 male students majoring in other department and 150 female students majoring in other department in the twenties between 2001. 3. 30 and 2001. 4. 4. The obtained data were analyzed by factor analysis, cluster analysis. ANOVA. The major finds were as follows. 1. To explain the hierarchy of the sensibility of Korean Traditional Chumoni, two image groups were classified, one is noble and characteristic image the other is splendid and intensive image. Finally it represented noble and splendid image. 2. As result of the factor analysis. 3 factors which are Attraction, Decorativeness, Gravity were found to be constructing factors for the sensibility images of Korean Traditional Chumoni. 3. By cluster analysis, 4 clusters were determined according to Korean Traditional Chumoni. Cluster 1 is splendid. multi-colored and realistic in patteren. Cluster 2 is consist of 'true chumonis' and one-colored. Cluster 3 is modal in pattern. Cluster 4 is simple without any decorations. As to the difference of image of Korean Traditional Chumoni, there were significant differences amang 3 factors by cluster Cluster 1 was found most attractive and grave. Cluster 2 was found most decorative. 4. As to the difference of image of Korean Traditional Chumoni, there were significant differences amang 3 factors by decoration. Gold foil was found most attractive and grave. Embroidery was found most decorative. 5. As to the difference of image of Korean traditional chumoni, there were differences in Decorativeness and Gravity by sex and there were differences in Attraction by major.

• Journal of Families and Better Life
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• v.25 no.4
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• pp.67-86
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• 2007

The present study purposed to examine adolescents' peer relation quality, and school life maladjustment according to the characteristic of their mobile phone use and their mobile phone addiction. The subjects of this study were 490 middle/high school students in Namyangju City. A survey was conducted using a self reporting questionnaire, and collected data were analyzed with SPSS 12.0. The results are as follows. First, mobile phone use was different according to gender, school year and the degree of mobile phone addiction. Second, the addiction group was 12.9% of the subjects, the dependent group was 52.7%, and the non addiction group and 34.5%. Third, in the addiction group, the negative factors of peer relation quality were significantly higher than the positive factors of peer relation quality. Fourth, in the addiction group, all the factors of school life maladjustment were significantly high. Fifth, school life maladjustment was higher when the degree of mobile phone addiction was high and when the negative factors of peer relation quality were high. This suggests the necessity for education on the right use of the mobile phone and mobile phone addiction treatment program; in order to improve adolescents' peer relation quality and ease their school life maladjustment. The results of this study are expected to be useful in developing effective interventions for adolescents' healthy growth.

• Korean Institute of Interior Design Journal
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• v.24 no.2
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• pp.197-205
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• 2015

Recently in most homes, children are mostly cared in early childhood education facilities. However, the increased number of safety accidents on children cared in such facilities has become a social issue. For that, the purpose of this study is to suggest interior environmental planning elements to improve safety level of early childhood education facilities. This study was carried out by performing literature review analysis and survey. First, in total of 42 environmental planning elements that can be applied domestically were derived from analyzing safety related guidelines for children facilities located both domestically and internationally then a survey was carried out targeted for teachers and staffs in the facilities on importance of the factors. The results of this study are as followings. First, it is required to intensify the level of safety related training for teachers and staffs in the facilities including better treatment for them. Second, the necessity of safety environment by each space in such facilities is required to be approached upon the level of child activities. Third, facilities planning and finalizing planning are important for improving safety of early childhood education facilities. Forth, from factor analysis on the extracted environmental planning elements that are considered as important by the teachers from both day care centers and kindergartens, they were categorized in 5 groups including 'collision and fall prevention plan', 'physical characteristic consideration plan', 'evacuation safety plan', 'lock security plan' and 'outer control plan'. It is fair to say that constructing a better safety environment for children can be achieved by the environmental planning factors by this study.

• Health Policy and Management
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• v.22 no.3
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• pp.427-450
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• 2012

Objectives : This study examined the factors influencing variation by local areas of antibiotics prescription rate in upper respiratory infections (URI) according to the public reporting. Methods : We used the National Health Insurance Claims Data which the clinics claimed for URI (Korean Standard Classification of Disease, J00 ~ J06) in ambulatory care. The period of analysis was from the first quarter (from January to March) of 2005 to the first quarter of 2007. The number of samples was total 242 local areas that included all clinics (N = 7,942), which prescribed antibiotics for URI in ambulatory care. Results : None of the demographic and socioeconomic characteristic indicators was statistically significant. Among the provider factors, An increase in number of doctors and the average annual antibiotics prescription rate (from 2003 to 2004) for URI by local area were significantly related to an increase of antibiotics prescription rate according to the public reporting. And an increase in number of pediatric clinics, the proportion of clinics less than 5 years since has opened and the average annual fluctuation of antibiotics prescription rate (from 2003 to 2005) were significantly related to a decrease in antibiotics prescription rate by local area according to the disclosure of information. Conclusions : According to the public reporting, the antibiotics prescription rate in clinics had decreased sharply. However, the reduction of antibiotic prescription rate varied in different local areas. The factors influencing variation by local areas in antibiotics prescription rate can be used for establishing effective strategies to reduce variation by region in antibiotics prescription rate.

• KIEAE Journal
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• v.9 no.5
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• pp.85-96
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• 2009

This study analyzed a characteristic by types of urban regeneration helping the establishment of urban identity under social condition change. It will be foundation of sustainable urban development with strategy that secures world-wide competitive power. For this, sample cases that established identity from urban regeneration were reviewed about the main subject and the supporting subject in business side and hardware, software, system, and finance in design factors. 4samples each in inheritance intensification type and change creation type were selected and analyzed. The result said it is most effective to establish urban identity when inheritance intensification type is the private-centered for urban regeneration. And it is better to do the project that the main subject and the supporting subject are taken by the private or the private-leading partnership. It is necessary to manage the region and plan events with software design factors more than hardware design factors. In addition, for urban identity, it was found to be desirable to utilize and preserve fully current resources such as historical scenery and activate the communities than making new facilities. On the contrary, the project based on change creation type needs to be under the public management with innovative idea. Also, when it comes to design factors, facilities related to culture and art and community spaces should open and run actively. It is important for the region to improve its image by New design style such as TOD. In software side, it is important to manage the region by monitoring about urban regeneration business and solve social mix and employment problem. On the other hand, in terms of system and administration, both types don't show a difference in urban identity establishment, since it is same that both should make partnership and get a support of subsidy to be most effective.

• Korean Journal of Social Welfare
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• v.59 no.1
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• pp.5-25
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• 2007

The purpose of this study is to explore factors influencing the poverty of the elderly in Korea. In spite the fact that poverty of the elderly is more serious than any other demographic group, this important issue is rarely studied. Using the 7-year accumulated data from the KLIPS(Korean Labor and Income Study), I combined the work history of the elders, their demographic characteristics and residence to estimate pooled data analysis of the elderly after reaching age 55 and who are also only living by themselves(only the elders). The results of this study are as followed: first of all, age, education, marital status, wealth, residence and work history are shown to be significant predictors for the poverty of elderly. Second, the results show that factors influencing the poverty is different depending on the elder's (demographic) characteristics. For example, age and marital status is a more important predictor in female than in male, and wealth and health status is a more important predictor in elders who do not have a spouse than in elders who do. Such results suggest that the policy of the poverty of the elderly which is only focused on elder's characteristic is limited. Therefore we can suggest that a policy which workable people can earn decent income and saving wealth for their elderly in job is needed. Especially, policies on the 'Working Poor' and reconstruct the current public pension system is very much needed.

• Journal of Engineering Education Research
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• v.13 no.4
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• pp.51-59
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• 2010

In order to manage the lectures efficiently in the university and improve the educational outcome, the process is needed that make diagnosis of the present educational outcome of each classes on a lecture and find factors of educational outcome. In most studies for finding the factors of the efficient lecture, statistical methods such as association analysis, regression analysis are used usually, and recently decision tree analysis is employed, too. The decision tree analysis have the merits that is easy to understand a result model, and to be easy to apply for the decision making, but have the weaknesses that is not strong for characteristic of input data such as multicollinearity. This paper indicates the weaknesses of decision tree analysis, and suggests the experimental solution using multiple decision tree algorithm to supplement these problems. The experimental result shows that the suggested method is more effective in finding the reliable factors of the educational outcome.

• Geomechanics and Engineering
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• v.25 no.1
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• pp.1-16
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• 2021

Machine learning models have been widely used for landslide susceptibility assessment (LSA) in recent years. The large number of inputs or conditioning factors for these models, however, can reduce the computation efficiency and increase the difficulty in collecting data. Feature selection is a good tool to address this problem by selecting the most important features among all factors to reduce the size of the input variables. However, two important questions need to be solved: (1) how do feature selection methods affect the performance of machine learning models? and (2) which feature selection method is the most suitable for a given machine learning model? This paper aims to address these two questions by comparing the predictive performance of 13 feature selection-based machine learning (FS-ML) models and 5 ordinary machine learning models on LSA. First, five commonly used machine learning models (i.e., logistic regression, support vector machine, artificial neural network, Gaussian process and random forest) and six typical feature selection methods in the literature are adopted to constitute the proposed models. Then, fifteen conditioning factors are chosen as input variables and 1,017 landslides are used as recorded data. Next, feature selection methods are used to obtain the importance of the conditioning factors to create feature subsets, based on which 13 FS-ML models are constructed. For each of the machine learning models, a best optimized FS-ML model is selected according to the area under curve value. Finally, five optimal FS-ML models are obtained and applied to the LSA of the studied area. The predictive abilities of the FS-ML models on LSA are verified and compared through the receive operating characteristic curve and statistical indicators such as sensitivity, specificity and accuracy. The results showed that different feature selection methods have different effects on the performance of LSA machine learning models. FS-ML models generally outperform the ordinary machine learning models. The best FS-ML model is the recursive feature elimination (RFE) optimized RF, and RFE is an optimal method for feature selection.

• Journal of Climate Change Research
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• v.8 no.3
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• pp.239-245
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• 2017

This study aimed to suggest priority for developing emission factor (EF) and to develop the methodology of quantitative assessment of EF in the forestry sector. Based on the stock-difference method, 17 kinds of EFs (27 EFs based on forest types) were required to calculate the carbon emission in the forestry sector. Priority for developing EFs followed the standards, which is a development plan by the government agency, importance of carbon stock for greenhouse gas, and EFs by the species. Currently, the most urgent development of EFs was carbon fraction in biomass and carbon stock in dead wood. Meanwhile, the quantitative assessment of EF consisted of 7 categories (5 categories of compulsory and 2 categories of quality evaluation) and 12 verification factors. Category in compulsory verification consisted of administrative document, determination methodology of emission factors, emission characteristic, accuracy of measurement and analysis, and data representative. Category in quality evaluation consisted of data management and uncertainty estimates. Based on the importance of factors in the verification process, each factor was scored separately, however, the score needs to be coordinated by the government agency. These results would help build a reliable and accurate greenhouse gas inventory report of Korea.

• Journal of Chest Surgery
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• v.57 no.3
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• pp.302-311
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• 2024

Background: Unexpected conversion to thoracotomy during planned video-assisted thoracoscopic surgery (VATS) can lead to poor outcomes and comparatively high morbidity. This study was conducted to assess preoperative risk factors associated with unexpected thoracotomy conversion and to develop a risk scoring model for preoperative use, aimed at identifying patients with an elevated risk of conversion. Methods: A retrospective analysis was conducted of 1,506 patients who underwent surgical resection for non-small cell lung cancer. To evaluate the risk factors, univariate analysis and logistic regression were performed. A risk scoring model was established to predict unexpected thoracotomy conversion during VATS of the lung, based on preoperative factors. To validate the model, an additional cohort of 878 patients was analyzed. Results: Among the potentially significant clinical variables, male sex, previous ipsilateral lung surgery, preoperative detection of calcified lymph nodes, and clinical T stage were identified as independent risk factors for unplanned conversion to thoracotomy. A 6-point risk scoring model was developed to predict conversion based on the assessed risk, with patients categorized into 4 groups. The results indicated an area under the receiver operating characteristic curve of 0.747, with a sensitivity of 80.5%, specificity of 56.4%, positive predictive value of 1.8%, and negative predictive value of 91.0%. When applied to the validation cohort, the model exhibited good predictive accuracy. Conclusion: We successfully developed and validated a risk scoring model for preoperative use that can predict the likelihood of unplanned conversion to thoracotomy during VATS of the lung.