• Journal of Distribution Science
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• v.17 no.3
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• pp.107-116
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• 2019

Purpose - Why, why is it difficult to predict the appropriateness of self-employment, and what are the countermeasures and policy proposals to overcome. This study intends to further develop the field of statistical variables. It is necessary to overcome the limitation of existing proper scale research in Korea. We need to find statistical variables that can determine the appropriateness of self-employment in Korea. These efforts will be helpful in evaluating OECD countries and statistics and developing domestic economic indicators. Research design, data, and methodology - It is the discovery of statistical indicators and complementary indicators that have not been revealed in previous studies. Therefore, we sought to find new statistical parameters based on the statistics of the Korea National Statistical Office, the Bank of Korea, and overseas OECD statistics. (Proper Size of Adequacy) is defined as the specific gravity or number of the self-employed in Korea, which is shown as "Out Put" by statistical analysis of STATA panel statistical data. It is possible to further develop variables such as gross domestic product, gross national product, economic growth rate, unemployment rate, income tax rate, consumer price, tax level, exports, import amount, bill default I want to dig. Results - In addition to expanding economic indicators that can be explained by self-employment determinants, we have developed a variety of methods such as linear and non-linear (U-shaped, inverted U-shaped). It is the improvement of the self-employment determinants and the analysis method to estimate the appropriate scale. Conclusions - The proposed contents are reflected in self - employment appropriateness evaluation data and hope to help the government to select the policy support and to evaluate the government business after the policy support. These efforts are expected to be of great help to operators operating their own businesses, and to government and related institutional practitioners who support them. In this way, self-employment will be created in accordance with the Korean situation, where the happy life of all the people becomes the premise and the inclusive economic activities are guaranteed. It will improve the method of analyzing proper scale of small business owners and self-employed in Korea.

• The Journal of Korean Academy of Prosthodontics
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• v.59 no.3
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• pp.299-304
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• 2021

Purpose. The purpose of the present study was to investigate the effects of image matching experience of operators on the accuracy and working time of image registration between radiographic and optical scan images. Materials and methods. Computed tomography and optical scan of a dentate dental arch were obtained. Image matching between the computed tomography and the optical scan (IDC S1, Amann Girrbach, Koblah, Austria) was performed using the point-based automatic registration method in planning software programs (Implant Studio, 3Shape, Copenhagen, Denmark) using two different experience conditions on image registration: experienced group and inexperienced group (n = 15 per group, N = 30). The accuracy of image registration in each group was evaluated by measuring linear discrepancies between matched images, and working time was recorded. Independent t test was used to statistically analyze the result data (α = .05). Results. In the linear deviation, no statistically significant difference was found between the experienced and inexperienced groups. Meanwhile, the working time for image registration was significantly shorter in the experienced group than in the inexperienced group (P = .007). Conclusion. Difference in the image matching experience may not influence the accuracy of image registration of optical scan to computed tomography when the point-based automatic registration was used, but affect the working time for the image registration.

• Journal of Korean Society of Forest Science
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• v.97 no.6
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• pp.661-668
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• 2008

This study was conducted to provide the policy information on implementing forestry mechanization through analyzing the project results and policy effectiveness. Study method adopted LISREL (Linear Structural Relationships) model which is the covariance structural equation model. Data was collected by questionnaires on the executors who are actually executing the forestry mechanization project. The analysis results on project outcome, policy satisfaction, and education and training showed the average. But the policy consistency, the consolidation of law and system and the spreading of forest machines showed bellow the average. Therefore, it is necessary to implement the consistent policy through the consolidation of law and system, and to increase the spreading ratio of forest machines in the forestry mechanization. In forestry mechanization project, the policy basis, the spreading of forest machines, and the education and training showed the positive affect on the policy outcome, respectively. The policy outcome had the positive affect on policy satisfaction. Accordingly, although the forestry mechanization policy system is important, it is necessary to spread the forest machines and to increase the training and education of operators for the successful forestry mechanization in the future.

• Korean Journal of Community Nutrition
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• v.18 no.5
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• pp.491-504
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• 2013

The purposes of this study were to analyze the quality attributes, quality factors and customer satisfaction in school foodservice and to provide suggestions for improving school foodservice environments. The survey was distributed to different respondents (5,771 students, 2,045 parents, and 1,981 faculty members) at different types of schools (elementary school, middle school, and high school) on September 2010 in 16 cities and provinces. The data were analyzed using SPSS for descriptive analysis, one-way ANOVA, t-test and multiple linear regression analysis. First, all foodservice quality attributes were significant different by respondents and the faculty had higher scores than parents and students. A comparison of scores by respondents and distribution place demonstrated that classroom of student and parents had a higher score for quality attributes. The overall satisfaction with school foodservice was significant different by respondents and higher for classroom than for dining hall for student and parents. In comparison of annual data, there was decreased overall satisfaction and quality attributes in student and parents. Second, in the regression results, which showed the effects of the foodservice quality attributes on overall satisfaction by respondents and distribution place, improvements of 'food taste', 'pleasant foodservice environment', and 'kindness of employee' would increase satisfaction in most of the respondents. Third, the overall satisfaction with school foodservice was higher for nutrition teachers than dietitians for students and faculty. Therefore, the operators will need to make different efforts based on each customer needs to improve the overall satisfaction on school foodservice.