• The Korean Journal of Community Living Science
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• v.25 no.2
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• pp.131-145
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• 2014

This study examines the effects of maternal behaviors and children's self-control ability on their subjective well-being. Data were collected from 416 fifth- and sixth-graders residing in Kwangju, Korea. Cronbach's ${\alpha}$ and the hierarchical regression analysis method were employed for a statistical analysis. According to the results of the hierarchical multiple regression analysis, children's self-control ability best explained their subjective well-being. For individual factors, motivational self-control had the greatest effect on subjective well-being, followed by behavioral self-control, cognitive self-control, the level of income, gender, and the employment status, in that order. The results for effects of maternal behaviors and children's self-control ability on children's subjective well-being highlight. The important roles played by the mother and the child's self-control ability in improving the child's subjective well-being. The study contributes to the literature by providing fundamental insights into children's higher quality of life.

• Journal of the Korean Society for Library and Information Science
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• v.44 no.2
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• pp.241-262
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• 2010

This study aims to perform an evaluation of classification systems provided by major Korean search portals, Naver, Nate, Daum, and Yahoo-Korea. These classification systems are evaluated in terms of the consistency of classification system, logicality of classification system, ease of interface, clarity of category names, order of category and site listing, and hierarchical structure. The results of this study show that each search portal provides separate classification systems for their services. These results imply that it is crucial for search portals to implement a common classification system and a common interface for their services. This study could contribute to the development and improvement of portals' classification systems.

• The Journal of Society for e-Business Studies
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• v.8 no.1
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• pp.85-102
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• 2003

Nowadays an information exchange on XML such as B2B electronic commerce is spreading. Therefore the systematic and stable management mechanism for storing the exchanged information is needed. For this goal there are many research activities for connection between XML application and relational database. But because XML data have hierarchical structures and relational database can store only flat-structured data, we need to make the conversion rule which changes the hierarchical architecture to 2-dimensional information. Accordingly the modeling methodology for storing each structured information in relational database is needed. In this paper, we introduce a XML modeling methodology to design W3C XML schema using UML and we propose a unified design methodology for relational database schema to store XML data efficiently in relational databases. In the second place, in order to verify objectivity of a unified design methodology. By the way of Ronald Bourret, First we introduce the method of the transformation from XML schema to object model and second we translate object model into relational database schema. Therefore we show the mutual consistency between those consequence, and so can verify a unified design methodology.

• The KIPS Transactions:PartD
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• v.14D no.1 s.111
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• pp.89-96
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• 2007

Various classification methods have been developed to reuse components. These classification methods enable the user to access the needed components quickly and easily. Conventional classification approaches include the following problems: a labor-intensive domain analysis effort to build a classification structure, the representation of the inter-component relationships, difficult to maintain as the domain evolves, and applied to a limited domain. In order to solve these problems, this paper describes a composite cluster analysis approach for component classification. The cluster analysis approach is a combination of a hierarchical cluster analysis method, which generates a stable clustering structure automatically, and a non-hierarchical cluster analysis concept, which classifies new components automatically. The clustering information generated from the proposed approach can support the domain analysis process.

• Journal of Electrical Engineering and Technology
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• v.4 no.4
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• pp.429-437
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• 2009

This paper proposes a hybrid voltage controller based on a hierarchical control structure for implementation in the Jeju power system. The hybrid voltage controller utilizes the coordination of various reactive power devices such as generators, switched shunt devices and LTC to regulate the pilot voltage of an area or zone. The reactive power source can be classified into two groups based on action characteristics, namely continuous and discrete. The controller, which regulates the pilot bus voltage, reflects these characteristics in the coordination of the two types of reactive power source. However, the continuous type source like generators is a more important source than the discrete type for an emergency state such as a voltage collapse, thereby requiring a more reactive power reserve of the continuous type to be utilized in the coordination in order to regulate the pilot bus voltage. Results show that the hybrid controller, when compared to conventional methods, has a considerable improvement in performance when adopted to control the pilot bus voltage of the Jeju island system.

• Journal of KIISE:Software and Applications
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• v.36 no.12
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• pp.1028-1033
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• 2009

This paper presents a real-time hand gesture recognition approach for controlling a computer. We define hand gestures as continuous hand postures and their movements for easy expression of various gestures and propose a Two-layered Bayesian Network (TBN) to recognize those gestures. The proposed method can compensate an incorrectly recognized hand posture and its location via the preceding and following information. In order to vertify the usefulness of the proposed method, we implemented a Virtual Mouse interface, the gesture-based interface of a physical mouse device. In experiments, the proposed method showed a recognition rate of 94.8% and 88.1% for a simple and cluttered background, respectively. This outperforms the previous HMM-based method, which had results of 92.4% and 83.3%, respectively, under the same conditions.

• Journal of Fisheries and Marine Sciences Education
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• v.19 no.3
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• pp.457-466
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• 2007

This study is to analyze literacy textbooks for adult learners developed by adult literacy education institutes. In the study, six different kinds of literacy textbooks are collected and analyzed on the basis of five evaluation criteria.: unit organization, presentation way of Hangeul, type of content, level of content, and degree of subject integration. The results of literacy textbook analysis are as follows. First, literacy textbooks carry different forms of unit organization in different textbooks. Most textbooks are composed of lessons, without a hierarchical organization of lessons, whereas some textbooks carry a hierarchical structure of 'unit + lessons'. Second, Hangeul is mostly presented in the form of reading and writing and literacy textbooks tend to present Hangeul as constructing letter through combining vowels and consonants rather than as whole language. Third, literacy textbooks contain life-adjustment situations which would help adult learners to lead everyday lives more efficiently. Fourth, literacy textbooks carry different levels of educational content, ranging from 'basic Hangeul' through 'expanded content' to high level of Hangeul writing. Fifth, literacy textbooks appear to integrate educational content from different subjects in order to provide more relevant content for adult learners.

• Communications for Statistical Applications and Methods
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• v.25 no.2
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• pp.131-157
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• 2018

We propose a robust event date model to estimate the date of a target event by a combination of individual dates obtained from archaeological artifacts assumed to be contemporaneous. These dates are affected by errors of different types: laboratory and calibration curve errors, irreducible errors related to contaminations, and taphonomic disturbances, hence the possible presence of outliers. Modeling based on a hierarchical Bayesian statistical approach provides a simple way to automatically penalize outlying data without having to remove them from the dataset. Prior information on individual irreducible errors is introduced using a uniform shrinkage density with minimal assumptions about Bayesian parameters. We show that the event date model is more robust than models implemented in BCal or OxCal, although it generally yields less precise credibility intervals. The model is extended in the case of stratigraphic sequences that involve several events with temporal order constraints (relative dating), or with duration, hiatus constraints. Calculations are based on Markov chain Monte Carlo (MCMC) numerical techniques and can be performed using ChronoModel software which is freeware, open source and cross-platform. Features of the software are presented in Vibet et al. (ChronoModel v1.5 user's manual, 2016). We finally compare our prior on event dates implemented in the ChronoModel with the prior in BCal and OxCal which involves supplementary parameters defined as boundaries to phases or sequences.

• Hwankyungkyoyuk
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• v.20 no.4
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• pp.145-165
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• 2007

The purpose of this study is to investigate items for improving environmental education in elementary school for the more efficiency policies of environmental education. In this study, we investigated the relative importance of each items through Analytic Hierarchy Process for the various groups of the expert who is related with environmental education. We made hierarchical structure for efficiency education through brainstorming process. The hierarchical structure consisted of 3 high-level items and 8 low-level items. The questionnaires were distributed to 4 groups with 187 experts. After the consistency test of returned questionnaires, we gained 60 available questionnaires of experts. According to the generalization results of all groups, "The pro-environmental attitude of the teacher" is the most important. The second important thing is "The pro-environmental attitude of the schoolmaster" and the third is "Experiential learning and on-the-spot study concerning environment". And the following are "Budget for environmental education" and "Environmental education in discretionary activity", "Teaching materials for environmental education", "The cultivation of the experts on environmental education", "Environment event in school" in order. As the result, we have to intensify the pro-environmental attitude of the teachers and schoolmasters and develop experiential learning and on-the-spot study programs concerned environment to improve environmental education. At the same time, we need the more politic support related with budget for environmental education.

• Journal of Korean Public Health Nursing
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• v.34 no.2
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• pp.238-250
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• 2020

Purpose: The purpose of this study was to investigate the effect of health literacy and unmet health care needs on health promotion behaviors among elderly people receiving visiting health care services at community health centers. Methods: The subjects of this study were 180 elderly people over 65 years old who were receiving health care services at public health center The subjects fully understood the purpose of this study and voluntarily agreed to participate. The collected data were analyzed by frequency, percentage, mean, standard deviation, independent t-test, one-way ANOVA, Scheffé test and Hierarchical Regression Analysis using the SPSS 23.0 program. Results: Hierarchical regression analysis was used to identify factors influencing health promotion behaviors of the subjects. The results were as follows: presence of occupation (β=.26, p<.001), social activity status (β=.26, p=.001), and health literacy (β=.16, p=.023). Conclusion: Therefore, in order to improve health promotion behaviors, it is necessary for visiting nurses to administer health education and programs by considering the level of health care understanding.