• Journal of the Korean BIBLIA Society for library and Information Science
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• v.12 no.1
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• pp.43-64
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• 2001

The purpose of this study was to measure performance of university libraries, especially investigating the components of service quality and their relationship to the customer satisfaction. The result of the statistical analyses is summarized as follows： The result of 5 point scale study shows the following degree of satisfaction in 55 components： timeliness of circulation, processing of fine. location of library, usefulness of retrieval system, library user education, speed of retrieval. number of terminals, and cleaning. On the other hand, shows the following degree of dissatisfaction in 55 components： speed of civil petitions, hour for program use, result of civil petitions, fixing of library user education, speed of retrieval, method of public relation, waiting time for Internet use, and use of the other library materials. Also. customers’matters of weight and importance was availability. learning facilities, suitable collections, circulation, and system of retrieval.

• KIISE Transactions on Computing Practices
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• v.21 no.1
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• pp.94-99
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• 2015

With the recent machine learning paradigm of using nonparametric Bayesian statistics and statistical inference based on random sampling, the Dirichlet distribution finds many uses in a variety of graphical models. It is a multivariate generalization of the gamma distribution and is defined on a continuous (K-1)-simplex. This paper presents a sampling method for a Dirichlet distribution for the problem of dividing an integer X into a sequence of K integers which sum to X. The target samples in our problem are all positive integer vectors when multiplied by a given X. They must be sampled from the correspondingly gridded simplex. In this paper we develop a Markov Chain Monte Carlo (MCMC) proposal distribution for the neighborhood grid points on the simplex and then present the complete algorithm based on the Metropolis-Hastings algorithm. The proposed algorithm can be used for the Markov model, HMM, and Semi-Markov model for accurate state-duration modeling. It can also be used for the Gamma-Dirichlet HMM to model q the global-local duration distributions.

• The Journal of the Korea Contents Association
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• v.14 no.9
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• pp.634-638
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• 2014

The purpose of the study is to analyse students' academic achievement by their university major field and changes of grade. The subject was entering students of C medical graduate school in 2008. We divided entering students' major fields into two fields that are natural science and non-natural science filed. We analysed academic achievements of entering students by grades, curriculum from 2008 to 2011. And We analysed to find out whether there are differences in academic achievements by grades, curriculum of each major fields. There were no significant statistical differences in academic achievements by grade, curriculum of the two different university major fields. Futhermore, as a results of analysis on level(high, medium, low) distribution and differences of academic achievements by grade, curriculum of the two different university major fields, there were no statistically meaningful results. There is the need to keep entrance selection systems that open the possibility of selecting the students with other academic background. And there is the need to change general awareness assuming that there are differences in academic achievements by university major fields. We need to guide students with belief of their learning possibility.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.5
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• pp.470-476
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• 2015

Big data has been used in diverse areas. For example, in computer science and sociology, there is a difference in their issues to approach big data, but they have same usage to analyze big data and imply the analysis result. So the meaningful analysis and implication of big data are needed in most areas. Statistics and machine learning provide various methods for big data analysis. In this paper, we study a process for big data analysis, and propose an efficient methodology of entire process from collecting big data to implying the result of big data analysis. In addition, patent documents have the characteristics of big data, we propose an approach to apply big data analysis to patent data, and imply the result of patent big data to build R&D strategy. To illustrate how to use our proposed methodology for real problem, we perform a case study using applied and registered patent documents retrieved from the patent databases in the world.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.47 no.3
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• pp.22-28
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• 2010

Adaboost is well known for a representative learner as one of the kernel methods. Adaboost which is based on the statistical learning theory shows good generalization performance and has been applied to various pattern recognition problems. However, Adaboost is basically to deal with a two-class classification problem, so we cannot solve directly a multi-class problem with Adaboost. One-Vs-All and Pair-Wise have been applied to solve the multi-class classification problem, which is one of the multi-class problems. The two methods above are ones of the output coding methods, a general approach for solving multi-class problem with multiple binary classifiers, which decomposes a complex multi-class problem into a set of binary problems and then reconstructs the outputs of binary classifiers for each binary problem. However, two methods cannot show good performance. In this paper, we propose the method to solve a multi-target classification problem by using radial basis function of Adaboost weak classifier.

• Convergence Security Journal
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• v.11 no.3
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• pp.55-66
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• 2011

This research focus on the value of smart phones for university students in Korea, considering on the correlations between the main causes influencing intrinsic value(price attributes, function attributes), network value(learning effects attributes, externalities attributes) user satisfaction, and intentions of repurchase of the smart phones market in Korea. Through the statistical analyses on the 8 hypotheses from a research model, we found that intrinsic value and network value gave an attentive influence on user satisfaction and repurchase intention. Call charge and Liquid crystal display and Design of smart phone have an influenced user satisfaction and repurchase intention.

• The Korean Journal of Community Living Science
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• v.16 no.2
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• pp.61-73
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• 2005

This study aims to examine the socio-demographic heterogeneity of community participation in rural Korea. Data was collected through interviews with 1,870 rural householders and housewives who have lived in Up or Myen as an administrative unit of rural communities, and analyzed by the SPSS/PC Win V.10 program. The statistical techniques used for this study were frequency and percentile. The major findings of this study were as follows. Firstly, the extent to which rural people have participated in community organizations were: cooperative groups, $80.8\%$; religious groups, $20.6\%$; learning groups, $12.7\%$; political groups, $9.8\%;$ civil groups $6.7\%$; and voluntary groups, $5.3\%$. Whereas the numbers were high for community participation in groups related to agricultural production, participation in civil and voluntary groups were lower. Secondly, it showed that people who lived in urbanized and high population density areas were more likely to participate in community groups. The diversity of community organizations was different according to the level of rurality. Thirdly, farm householders were more likely to participate in religious, civil and voluntary groups than non-farm householders. Fourthly, people with higher education, females, those in the 40 to 50 age groups were more likely to participate in community organizations. Fifthly, even though men are more likely to participate in political parties, women were more likely then men to agree that women should participate in political parties. This empirical study could support the results of Sundeen (1988) and Wilson and Musick (1997) in that education was related positively to community participation. In addition, we concluded that community participation in a rural development process has two main considerations: philosophical and pragmatic. This implies that there is room for government to enable and facilitate 'true' community participation. That can be done through policy reform which creates a permissive environment for community decision-making and input, in addition to simply supporting community development through financial assistance.

• Journal of Fisheries and Marine Sciences Education
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• v.28 no.6
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• pp.1614-1628
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• 2016

The purpose of this study was to examine the relationship between the safety awareness and safety practice of international marriage woman in Kimhae and Changwon city. We carried out a questionnaire survey that was targeted at 138 subjects. Data collected were analyzed with SPSS 21.0 statistical program. Analysis methods were t-test, one way ANOVA, Scheffe test, Perarsons correlation coefficient, and multiple linear regression. The results were as follows. First, safety awareness point was an average of 4.10 point which was higher level. Safety practice point was an over intermediate level of an average of 3.23 point. Second, safety awareness had statistically significant difference according to age, year of Korea residence, born Nation, whether or not Korean citizenshilp, monthly income, temper, satisfaction of marriage. Third, safety practice had statistically significant difference according to housing, monthly income, health state, satisfaction of marriage. Fourth, safety Practice had a positive correlation with home safety awareness, traffic safety awareness, fire safety awareness, and emergency care awareness. Therefore, a higher safety awareness results in having a very well safety practice. Fifth, International Marriage Women from Japan had the highest the level in the Safety Awareness and Safety Practice. From now on, two cities should have a major concern for safety education of fire and emergency care. And the safety education based on learning need analysis need to be done substantially.

• Journal of The Korean Association of Information Education
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• v.14 no.1
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• pp.111-121
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• 2010

The aim of this study is to investigate the effects of game-based robot education on the elementary students' logical thinking ability and academic achievement. 12 boys in the 6th grade from S elementary school from Namhae, Kyungnam participated in the study. The game-based robot education was applied to the participants 32 times in the procedures. The results from pre- and post-logical thinking tests and pre- and post-academic achievement were analyzed. After participating in the game-based robot education activities, there were meaningful statistical differences in the participants' logical thinking ability. The results of the study suggest that the game-based robot education has positive impact on students' ability to think logically. In addition, the game-based robot education improved children's motivation in learning.

• Journal of The Korean Association of Information Education
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• v.14 no.3
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• pp.319-328
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• 2010

Computer programming education gives students a chance to use computers independently and actively. This plays a very positive role in acquiring higher cognitive skills such as mathematical skills and creative logical thinking. Thus the purpose of this study is to measure the degrees of students' problem-solving abilities using MCU programming kits based on the ICT Education Guide. The experiment confirms that programming classes using MCU kits have a more positive effect on the students problem-solving abilities than do those using the existing computer textbooks. The sub-constituents of problem-solving abilities - problem recognition, information gathering, analysis, diffuse thinking, decision-making, planning, execution, evaluation and feedback - also show significant statistical differences. Therefore, we can conclude that programming classes using MCU kits are very effective in advancing problem-solving abilities.