• Proceedings of the Korean Radioactive Waste Society Conference
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• 2005.06a
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• pp.311-318
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• 2005

Transparency on the Total System Performance Assessment (TSPA) is the key issue to enhance the public acceptance for a permanent high level radioactive repository. To approve it, all performances on TSPA through Quality Assurance is necessary. The integrated Cyber R&D Platform is developed by KAERI using the T2R3 principles applicable for five major steps in R&D's. The proposed system is implemented in the web-based system so that all participants in TSPA are able to access the system. It is composed of FEAS (FEp to Assessment through Scenario development) showing systematic approach from the FEPs to Assessment methods flow chart, PAID (Performance Assessment Input Databases) showing PA(Performance Assessment) input data set in web based system and QA system receding those data. All information is integrated into Cyber R&D Platform so that every data in the system can be checked whenever necessary. For more user-friendly system, system upgrade included input data & documentation package is under development. Throughout the next phase R&D, Cyber R&D Platform will be connected with the assessment tool for TSPA so that it will be expected to search the whole information in one unified system.

• Journal of the Society of Disaster Information
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• v.11 no.2
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• pp.191-202
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• 2015

The purpose of this study was to examine the influence of the disaster perception and satisfaction level of volunteer fire-fighters on the continuity of their volunteering. The 163 subjects in this study were selected from male and female volunteer fire-fighters who resided in urban and rural regions in Gangwon Province. After a this survey was conducted, the collected data were analyzed by a statistical package SPSS WIN 20.0, and frequency analysis, correlation analysis and multiple regression analysis were made. The level of statistical significance was all set at p<.05. The findings of the study were as follows: First, as for the correlation of disaster perception, satisfaction and volunteering continuity, perception of disaster countermeasures, satisfaction and the level of participation were negatively correlated with one another, and there was a positive correlation among disaster training, disaster preparation, regional disaster, the period of volunteering, and will of persistent volunteering. Second, as for perception of disaster, the volunteer fire-fighters were asked a question about disaster countermeasures, and the largest group replied they were partially aware of the countermeasures. Concerning questions about disaster training/education experience and triage, the biggest group replied they underwent the training and knew about triage on the whole. Regarding questions on the emergency contact system and emergency work schedule, they knew about the two in general. As to a question on the occurrence of human disaster, the greatest group answered that they knew about it yet not well. Third, in regard to the impact of satisfaction level on volunteering continuity, the period of volunteering was affected by needs for experience, social contact and social recognition among the subfactors of satisfaction level, and will of persistent volunteering was under the influence of social contact and achievement needs. The level of persistent volunteering was affected only by needs for experience and achievement needs.

• Journal of Gifted/Talented Education
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• v.14 no.4
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• pp.125-149
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• 2004

The purpose of this study is to provide basic information on the current status of elementary school teachers' perception of gifted education. For this purpose, this study wi1l analyze elementary school teachers' perception of the gifted education (i.e., general perception of gifted education, characteristics of gifted children, identification of gifted children, programs for gifted education, and teachers of gifted education). A questionnaire survey was used for the purpose and research questions of this study. The questionnaire used in this study was constructed by taking into account the results of surveys conducted in previous studies and the literature on gifted education. Before conducting the research, a preliminary inquiry was made to identify problems that may occur while the subjects were participating in the survey, as well as to determine the appropriateness of the questionnaire and the amount of time needed. The preliminary inquiry was conducted with ten randomly selected elementary school teachers who did not participate as subjects in the actual research. The results were later used as initial data for the actual research. The subjects of this study were teachers who were teaching in8 elementary schools under each office of education in Seoul. This process was conducted for 180 elementary school teachers from April to May 2004. The results were analyzed using SPSS (Statistical Package for Social Science) Ver. 10.1, a software program for statistical research. After the data were analyzed, the following conclusions were arrived at: 1. The result of the genera1 perception of gifted education by elementary school teachers were positive and reasonably high. The level of their perception of detailed information or knowledge, however, was relatively low. 2. As for their perceptions of the emotional characteristics of gifted children, t11e results showed a low level of understanding of the characteristics of gifted children. 3. As for their perceptions of identification of gifted children, the results showed a high level of understanding of the appropriate time to provide special education to gifted children and of the methods to identify such. On the other hand, their understanding of the identification of gifted children in an actual class was poor. 4. The respondents' level of perceptions of programs for gifted education was very low since many subjects did not have any experiences with such programs. 5. The results showed a very positive response to receiving training on gifted education, though they were very reluctant to be assigned as teachers of gifted education because of the excessive work that is associated with such and their lack of capability in handling gifted children.

• Management & Information Systems Review
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• v.33 no.1
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• pp.191-217
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• 2014

The Purpose of this study is to find the effect factors of R&D investment in SMEs which plays an important role in the national economy, and the differences of the effect factors by the type of SMEs. The subject of this study is about 3,400 SMEs mentioned in "The survey of technical statistics on SMEs in 2007" by Korea Federation of Small and Medium Business. The effect factors are related with the size of business, the infrastructure of R&D and the activities of R&D which have been studied by many researchers. The methods of analysis are regression analysis, moderating effect analysis and the software package used is SPSS 12.0. The results of the study are as fallow. First, it was found that unlike in previous studies which show the effect of the elements of business's size, research infrastructure, research activities on R&D investment, one element alone can't be considered for meaningful result but the various elements have effect on R&D investment at the same time. In other words, the number of employees and the sales as the elements of business's size, the ratio of researchers, the technical ability, the ratio of equipment possession and the intellectual properties as the elements of R&D infrastructure, the activity of ideas and joint research as the elements of R&D activities have positive(+) effect, whereas the participation of CEO in the activity of R&D as the elements of R&D activities activity has negative(-) one. The number of employees, the ratio of researchers, and the sales had relatively high influence whereas equipment possession, technical ability, intellectual properties, the participation of CEO in the research, the activity of idea, joint research had relatively low influence. Next, it was also found that there are differences of the effect factors over the types of SMEs. SMEs were classified into 19 types by eight criteria such as start-ups and existing business by business age; small business and medium business by size; manufacturing business and service business by product type;independent business and subcontractor business by dealing type; businesses in the entering, growing, maturing and restructuring stage by growth stage; businesses with low, medium and high technology by technological level; pioneering business and non-pioneering business by industrial type; and businesses with state-of-the-art technology and non-advanced business by the level of business activities. The meaning of this study lies in the fact that it found the various effect factors should be considered at the same time when conducting study on SMEs' R&D investment, and the differences by the type should be acknowledged. This study surpassed the limitations of the previous studies which focused on a couple of factors and types. This study result can also be considered for other studies on achievement, organization, marketing and others. Moreover, it shows that a differential policy by business type is needed when formulating SME policy.

• Korean Journal of Community Nutrition
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• v.8 no.6
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• pp.889-900
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• 2003

This study was carried out to obtain information regarding eating habits, including health related behavior and health food consumption patterns. The subjects of this study were 149 men and 152 women residing in the Ulsan area. We obtained results by means of a questionnaire and an interview, and these were analyzed using the SPSS package program. The results of this study are summarized as follows The average age of the men was 47.6 $\pm$ 7.3 years and of the women was 47.3 $\pm$ 7.6 years old. The average height and weight of the men were 169.4 $\pm$ 5.5 cm and 67.7 $\pm$ 8.2 kg, respectively. Those of the women were 157.6 $\pm$ 5.0 cm and 58.2 $\pm$ 7.5 kg, respectively. The BMI values of all the subjects ranged from 20.0 to 25.0, all within the normal levels. In the case of dietary patterns, 24.3% of the total population always skipped a meal. In particular, 15.9% of the total population skipped breakfast. No time to eat, no appetite, having no taste, and having poor health were themain reasons for skipping meals. With regard to health care, there was a significant difference between the men and the women with respect to smoking and drinking (p<0.001). Of the total population, 40.5% hardly exercised (less than once a week), 26.2% exercised occasionally, 13.6% frequently exercised, and 19.6% exercised almost every day. A total of 60.7% responded that they were not interested in their health. The mean eating habit score of the subjects was 65.6 $\pm$ 9.9. The women had a higher eating habit score than the men (64.0 $\pm$ 9.6 for the men and 67.2 $\pm$ 9.9 for the women). Except for one group above 60 years, the older group had a higher eating habit score than the younger one. The group having a higher income and a more specialized career had a higher eating habit score than the one having a lower income and a less specialized career. There was also a marital difference. The group of single subjects showed a lower eating habit score than the married group. The group having a higher eating habit score drank, smoked and went out for meals less, and exercised more than the group having lower scores. They also were more concerned about their health. In the older group, there were more diabetic and hypertensive individuals. The subjects who had a higher BMI index were more likely to be patients with hypertension, especially in the men's group. Those who had a higher BMI index and hypertension simultaneously took a variety of medicines and foods for promoting health. Those who worried a lot about their health and had health problems tended to take special foods for their health. Patients usually took tonics. Special foods for health included Chinese medicines, tonic foods, vitamin or mineral supplements and manufactured health food supplements. Preferences for them depended on the sex and age of the subject. In the case of tonic foods, the men liked them more than the women. Foods other than tonic foods were favorites with the women. This study may provide basic information on the eating habits and health related behaviors of middle-aged people. However, further studies are needed to improve the eating habits and to change the nutritional attitudes, so that people can make better choices of health foods.

• Journal of Intelligence and Information Systems
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• v.16 no.4
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• pp.99-112
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• 2010

Ensemble learning is a method for improving the performance of classification and prediction algorithms. It is a method for finding a highly accurateclassifier on the training set by constructing and combining an ensemble of weak classifiers, each of which needs only to be moderately accurate on the training set. Ensemble learning has received considerable attention from machine learning and artificial intelligence fields because of its remarkable performance improvement and flexible integration with the traditional learning algorithms such as decision tree (DT), neural networks (NN), and SVM, etc. In those researches, all of DT ensemble studies have demonstrated impressive improvements in the generalization behavior of DT, while NN and SVM ensemble studies have not shown remarkable performance as shown in DT ensembles. Recently, several works have reported that the performance of ensemble can be degraded where multiple classifiers of an ensemble are highly correlated with, and thereby result in multicollinearity problem, which leads to performance degradation of the ensemble. They have also proposed the differentiated learning strategies to cope with performance degradation problem. Hansen and Salamon (1990) insisted that it is necessary and sufficient for the performance enhancement of an ensemble that the ensemble should contain diverse classifiers. Breiman (1996) explored that ensemble learning can increase the performance of unstable learning algorithms, but does not show remarkable performance improvement on stable learning algorithms. Unstable learning algorithms such as decision tree learners are sensitive to the change of the training data, and thus small changes in the training data can yield large changes in the generated classifiers. Therefore, ensemble with unstable learning algorithms can guarantee some diversity among the classifiers. To the contrary, stable learning algorithms such as NN and SVM generate similar classifiers in spite of small changes of the training data, and thus the correlation among the resulting classifiers is very high. This high correlation results in multicollinearity problem, which leads to performance degradation of the ensemble. Kim,s work (2009) showedthe performance comparison in bankruptcy prediction on Korea firms using tradition prediction algorithms such as NN, DT, and SVM. It reports that stable learning algorithms such as NN and SVM have higher predictability than the unstable DT. Meanwhile, with respect to their ensemble learning, DT ensemble shows the more improved performance than NN and SVM ensemble. Further analysis with variance inflation factor (VIF) analysis empirically proves that performance degradation of ensemble is due to multicollinearity problem. It also proposes that optimization of ensemble is needed to cope with such a problem. This paper proposes a hybrid system for coverage optimization of NN ensemble (CO-NN) in order to improve the performance of NN ensemble. Coverage optimization is a technique of choosing a sub-ensemble from an original ensemble to guarantee the diversity of classifiers in coverage optimization process. CO-NN uses GA which has been widely used for various optimization problems to deal with the coverage optimization problem. The GA chromosomes for the coverage optimization are encoded into binary strings, each bit of which indicates individual classifier. The fitness function is defined as maximization of error reduction and a constraint of variance inflation factor (VIF), which is one of the generally used methods to measure multicollinearity, is added to insure the diversity of classifiers by removing high correlation among the classifiers. We use Microsoft Excel and the GAs software package called Evolver. Experiments on company failure prediction have shown that CO-NN is effectively applied in the stable performance enhancement of NNensembles through the choice of classifiers by considering the correlations of the ensemble. The classifiers which have the potential multicollinearity problem are removed by the coverage optimization process of CO-NN and thereby CO-NN has shown higher performance than a single NN classifier and NN ensemble at 1% significance level, and DT ensemble at 5% significance level. However, there remain further research issues. First, decision optimization process to find optimal combination function should be considered in further research. Secondly, various learning strategies to deal with data noise should be introduced in more advanced further researches in the future.

• Journal of Intelligence and Information Systems
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• v.16 no.2
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• pp.129-141
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• 2010

An Internet shopping mall for clothing operates a warehouse for packing and shipping products to fulfill its orders. All the products in the warehouse are put into the boxes of same brands and the boxes are stored in a row on shelves equiped in the warehouse. To make picking and managing easy, boxes of the same brands are located side by side on the shelves. When new products arrive to the warehouse for storage, the products of a brand are put into boxes and those boxes are located adjacent to the boxes of the same brand. If there is not enough space for the new coming boxes, however, some boxes of other brands should be moved away and then the new coming boxes are located adjacent in the resultant vacant spaces. We want to minimize the movement of the existing boxes of other brands to another places on the shelves during the warehousing of new coming boxes, while all the boxes of the same brand are kept side by side on the shelves. Firstly, we define the adjacency of boxes by looking the shelves as an one dimensional series of spaces to store boxes, i.e. cells, tagging the series of cells by a series of numbers starting from one, and considering any two boxes stored in the cells to be adjacent to each other if their cell numbers are continuous from one number to the other number. After that, we tried to formulate the problem into an integer programming model to obtain an optimal solution. An integer programming formulation and Branch-and-Bound technique for this problem may not be tractable because it would take too long time to solve the problem considering the number of the cells or boxes in the warehouse and the computing power of the Internet shopping mall. As an alternative approach, we designed a fast heuristic method for this reallocation problem by focusing on just the unused spaces-empty cells-on the shelves, which results in an assignment problem model. In this approach, the new coming boxes are assigned to each empty cells and then those boxes are reorganized so that the boxes of a brand are adjacent to each other. The objective of this new approach is to minimize the movement of the boxes during the reorganization process while keeping the boxes of a brand adjacent to each other. The approach, however, does not ensure the optimality of the solution in terms of the original problem, that is, the problem to minimize the movement of existing boxes while keeping boxes of the same brands adjacent to each other. Even though this heuristic method may produce a suboptimal solution, we could obtain a satisfactory solution within a satisfactory time, which are acceptable by real world experts. In order to justify the quality of the solution by the heuristic approach, we generate 100 problems randomly, in which the number of cells spans from 2,000 to 4,000, solve the problems by both of our heuristic approach and the original integer programming approach using a commercial optimization software package, and then compare the heuristic solutions with their corresponding optimal solutions in terms of solution time and the number of movement of boxes. We also implement our heuristic approach into a storage location assignment system for the Internet shopping mall.

• Anatomy & Biological Anthropology
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• v.31 no.4
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• pp.133-142
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• 2018

3D histology is a imaging system for the 3D structural information of cells or tissues. The synchrotron radiation propagation phase contrast micro-CT has been used in 3D imaging methods. However, the simple phase contrast micro-CT did not give sufficient micro-structural information when the specimen contains soft elements, as is the case with many biomedical tissue samples. The purpose of this study is to develop a new technique to enhance the phase contrast effect for soft tissue imaging. Experiments were performed at the imaging beam lines of Pohang Accelerator Laboratory (PAL). The biomedical tissue samples under frozen state was mounted on a computer-controlled precision stage and rotated in $0.18^{\circ}$ increments through $180^{\circ}$. An X-ray shadow of a specimen was converted into a visual image on the surface of a CdWO4 scintillator that was magnified using a microscopic objective lens(X5 or X20) before being captured with a digital CCD camera. 3-dimensional volume images of the specimen were obtained by applying a filtered back-projection algorithm to the projection images using a software package OCTOPUS. Surface reconstruction and volume segmentation and rendering were performed were performed using Amira software. In this study, We found that synchrotron phase contrast imaging of frozen tissue samples has higher contrast power for soft tissue than that of non-frozen samples. In conclusion, synchrotron radiation propagation phase contrast cryo-microCT imaging offers a promising tool for non-destructive high resolution 3D histology.

• Journal of Nutrition and Health
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• v.51 no.6
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• pp.567-579
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• 2018

Purpose: This study examined the mediation effects of dietary habits, nutrient intake, daily life in the relationship between the working hours of Korean shift workers and metabolic syndrome. Methods: Data were collected from the sixth (2013-2015) Korea National Health and Nutrition Examination Survey (KNHANES). The stochastic regression imputation was used to fill missing data. Statistical analysis was performed in Korean shift workers with metabolic syndrome using the SPSS 24 program for Windows and a structural equation model (SEM) using an analysis of moment structure (AMOS) 21.0 package. Results: The model fitted the data well in terms of the goodness of fit index (GFI) = 0.939, root mean square error of approximation (RMSEA) = 0.025, normed fit index (NFI) = 0.917, Tucker-Lewis index (TLI) = 0.984, comparative fit index (CFI) = 0.987, and adjusted goodness of fit index (AGFI) = 0.915. Specific mediation effect of dietary habits (p = 0.023) was statistically significant in the impact of the working hours of shift workers on nutrient intake, and specific mediation effect of daily life (p = 0.019) was statistically significant in the impact of the working hours of shift workers on metabolic syndrome. On the other hand, the dietary habits, nutrient intake and daily life had no significant multiple mediator effects on the working hours of shift workers with metabolic syndrome. Conclusion: The appropriate model suggests that working hours have direct effect on the daily life, which has the mediation effect on the risk of metabolic syndrome in shift workers.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.2
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• pp.135-149
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• 2019

Today, a growing number of companies are in trouble because leaders are lack of authentic leadership. Small and midium sized companies have the same issue. To correct the issue, there must be a real change in the relationship between managers and employees of the company as well as outside the company. In 21st century, authentic leadership is required. However, the research about determinants of change supportive behavior is not sufficient. Therefore, the purpose of this study is how manager's transformational leadership and authentic leadership affects change supportive behavior of employees in small and midium sized companies. The study also has to prove the role of positive psychological capital as a parameter. Data were collected from 424 employees working for small and midium sized companies in metropolitan area around Seoul and Gyeonggi. The data were analyzed using statistical package SPSS ver.21.0 and AMOS ver.18.0. Based on the research, First, the transformational leadership does not affect the change supportive behavior. However, authentic leadership affects the change supportive behavior. Also, positive psychological capital playes a role as parameter when transformational and authentic leadership, that are independent variable, affect change supportive behavior. On the other hand, the research shows that authentic leadership has more influence than transformational leadership on positive psychological capital. Transformational leadership without genuine attitude cannot affect change support behavior of employees in small and medium sized companies. Therefore, to affect change supportive behavior of employee, authentic leadership with genuine mind is required. After discussing the conclusions and implications of this study. the direction of the study for the follow - up study was suggested.