• The Transactions of the Korea Information Processing Society
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• v.6 no.5
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• pp.1153-1165
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• 1999

In various fields of information technology, it is growing up the needs about dynamic content management systems to store and manage SGML(Standard Generalized Markup language) documents in a database system. In this paper, we consider the issue of storing SGML documents that having complex hierarchical structure into a database system, and then propose a data model based on ODMG(Object Database Management Group) object model in order to store SGML documents without loss of information. Because the proposed data model reflects physical element structure and logical entity structure of SGML documents, it is able to store the SGML document in a database system at the system at the element- level granularity without any information loss. And also the proposed data model can be adapted among ODMG-compliant object database management systems. Finally, we will discuss on the implementation details of SGML repository system supports the functionality of automatic database schema creation for any DTD(Document Type Definition0, the functionality of storing the SGML document, the functionality of dynamic document assembly from stored database objects to SGML document, and the functionality of indexing and searching for database objects.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.11
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• pp.1322-1332
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• 2011

This study investigates the influence of social desirability to questionnaire response and data analysis in order to identify the need for social desirability control in clothing consumer research. A questionnaire measuring social desirability, social face sensitivity, clothing shopping behavior, and demographic characteristics was developed. Responses of 234 respondents were analyzed using factor analysis, simple regression analysis, hierarchical regression analysis, descriptive analysis, and Cronbach's alpha analysis. The results were as follow. First, respondents were influenced by social desirability when they responded to items measuring other-conscious social face. Second, the result of regression analysis (that the independent variable was social formality) was less influenced by social desirability control because the influence of social desirability to social formality was insignificant. Conversely, the result of regression analysis (that the independent variable was other-conscious social face) was more influenced by social desirability control because the influence of social desirability to other-conscious social face was significant. This study is an initial study that notices the need for social desirability control in clothing consumer research.

• The Journal of Korean Society for School & Community Health Education
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• v.15 no.1
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• pp.15-29
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• 2014

Objectives: The purpose of this study was to provide fundamental resources for preventing adolescents' bullying behavior. For this aim we analyzed parents' rearing attitudes and adolescents' personality characteristics effecting on bullying experiences. Methods: We carried out a questionnaire survey at middle and high school located in Anyang, Gwacheon, Gunpo from July 8 to 22, 2013. Data were collected from 756 students. By using SPSS 20.0, data were analyzed by descriptive statistics, correlation analysis, and hierarchical regression analysis Results: There was a close relationship among parents' rearing attitudes, adolescents' personality characteristics, and bullying experiences. Parents' affectionate rearing attitudes reduced adolescents' bullying experiences, on the other hand parents' hostile and rejective rearing attitudes increased. The adolescents with high responsibility had low bullying experiences, otherwise adolescents with high activity had high bullying experiences. Conclusions: In order to reduce bullying experiences parents' rearing attitudes should be changed and education programs that could encourage a sense of responsibility should be introduced.

• Journal of the Korean Society of School Health
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• v.28 no.3
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• pp.248-255
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• 2015

Purpose: This study was conducted to explore the relationship between high school students' mental social health and their tendency toward social networking addiction. Methods: The subjects were 543 high school boys and girls living in D city. The data were collected from the 3rd to 21st of March in 2014. Data were analyzed using t-test, ANOVA, Duncan's post-hoc test, Pearson's correlation analysis, and hierarchical regression with SPSS/ Win 21.0. Results: Social networking addiction showed significant differences depending on gender (t=-7.03, p<.001), academic achievement (t=4.571, p=.011), and the level of maternal education (t=3.344, p=.019). Social health was correlated with the tendency toward social networking addiction. Multiple regression analysis found that gender, academic achievement and social health were associated with the level of social networking addiction (F=8.750, p<.001, Adj. $R^2=.201$). Conclusion: The results suggest that it is necessary to take into account gender characteristics, academic achievement and social health in order to develop effective management programs for social networking addiction among high school students.

• Women's Health Nursing
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• v.26 no.2
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• pp.191-199
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• 2020

Purpose: The purpose of this study was to investigate the effects of anxiety and smartphone dependency on sleep quality in pregnant women with preterm labor. Methods: The participants of this study were 111 pregnant women who were between 20 and 37 weeks of gestation and experienced preterm labor. The data were collected from October 1, 2018 to October 25, 2019. The collected data were analyzed using descriptive statistics (frequency, percentage, and standard deviation), as well as the t-test, Pearson correlation coefficients, and hierarchical multiple regression. Results: Significant negative correlations were found between anxiety and sleep quality and between smartphone dependency and sleep quality. Participants' history of preterm birth, pregnancy method, bowel movements, anxiety, and smartphone dependency significantly affected sleep quality, with an explanatory power of 18%. Conclusion: In order to improve the quality of sleep, which is an important health-related factor for pregnant women experiencing preterm labor, it will be necessary to identify a history of premature birth, pregnancies achieved using artificial reproductive technology, bowel problems, and smartphone dependency in advance and to provide nursing interventions accordingly.

• Advances in aircraft and spacecraft science
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• v.3 no.1
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• pp.1-14
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• 2016

The Carrera Unified Formulation (CUF) is here extended to perform free-vibrational analyses of rotating structures. CUF is a hierarchical formulation, which enables one to obtain refined structural theories by writing the unknown displacement variables using generic functions of the cross-section coordinates (x, z). In this work, Taylor-like expansions are used. The increase of the theory order leads to three-dimensional solutions while, the classical beam models can be obtained as particular cases of the linear theory. The Finite Element technique is used to solve the weak form of the three-dimensional differential equations of motion in terms of "fundamental nuclei", whose forms do not depend on the adopted approximation. Including both gyroscopic and stiffening contributions, structures rotating about either transversal or longitudinal axis can be considered. In particular, the dynamic characteristics of thin-walled cylinders and composite blades are investigated to predict the frequency variations with the rotational speed. The results reveal that the present one-dimensional approach combines a significant accuracy with a very low computational cost compared with 2D and 3D solutions. The advantages are especially evident when deformable and composite structures are analyzed.

• Advances in aircraft and spacecraft science
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• v.3 no.1
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• pp.95-112
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• 2016

This paper presents the free vibration analysis of damaged beams by means of 1D (beam) advanced finite element models. The present 1D formulation stems from the Carrera Unified Formulation (CUF), and it leads to a Component-Wise (CW) modelling. By means of the CUF, any order 2D and 1D structural models can be developed in a unified and hierarchical manner, and they provide extremely accurate results with very low computational costs. The computational cost reduction in terms of total amount of DOFs ranges from 10 to 100 times less than shell and solid models, respectively. The CW provides a detailed physical description of the real structure since each component can be modelled with its material characteristics, that is, no homogenization techniques are required. Furthermore, although 1D models are exploited, the problem unknown variables can be placed on the physical surfaces of the real 3D model. No artificial surfaces or lines have to be defined to build the structural model. Global and local damages are introduced by decreasing the stiffness properties of the material in the damaged regions. The results show that the proposed 1D models can deal with damaged structures as accurately as a shell or a solid model, but with far lower computational costs. Furthermore, it is shown how the presence of damages can lead to shell-like modal shapes and torsional/bending coupling.

• Nuclear Engineering and Technology
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• v.52 no.5
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• pp.984-994
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• 2020

It is reported that about 20% of accidents at nuclear power plants in Korea and abroad are caused by human error. One of the main factors contributing to human error is fatigue, so it is necessary to prevent human errors that may occur when the task is performed in an improper state by grasping the status of the operator in advance. In this study, we propose a method of evaluating operator's fitness-for-duty (FFD) using various parameters including eye movement data, subjective fatigue ratings, and operator's performance. Parameters for evaluating FFD were selected through a literature survey. We performed experiments that test subjects who felt various levels of fatigue monitor information of indicators and diagnose a system malfunction. In order to find meaningful characteristics in measured data consisting of various parameters, hierarchical clustering analysis, an unsupervised machine-learning technique, is used. The characteristics of each cluster were analyzed; fitness-for-duty of each cluster was evaluated. The appropriateness of the number of clusters obtained through clustering analysis was evaluated using both the Elbow and Silhouette methods. Finally, it was statistically shown that the suggested methodology for evaluating FFD does not generate additional fatigue in subjects. Relevance to industry: The methodology for evaluating an operator's fitness for duty in advance is proposed, and it can prevent human errors that might be caused by inappropriate condition in nuclear industries.

• The Journal of Korean Society for School & Community Health Education
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• v.18 no.3
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• pp.45-53
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• 2017

Objectives: This study aimed to analyze the association between adolescent depression and personal factors such as interpersonal relationship and personal characteristics. Methods: The data used for this study was taken from the 2014 Korean Children and Youth Panel Survey. Of those 2,351 subjects in a data set, data of 1,938 subjects were analyzed after excluding 413 subjects with missing information. Hierarchical regression analysis was conducted for multi-variate analysis. In addition, controlling effects of ego-resiliency was analyzed. SPSS 22.0. was utilized for statistical analyses. Results: The study found that the depressive index was higher in women than men, and lower in adolescent who has a good relationship with parents and friends. This study also found that adolescents with high ego-resiliency are more vulnerable to depression. Conclusions: It is recommended to understand and to utilize ego-resiliency of adolescents, in order to reduce adolescents depression. Promoting good relationship with parents and friends will also positively impact to lower adolescents depression.

• Journal of Korean society of Dental Hygiene
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• v.21 no.5
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• pp.585-594
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• 2021

Objectives: This study aimed to understand the effect of factors, possibilities, and desires on oral examination experience behavior of the elderly using raw data from the 2017 Community Health Survey. Methods: Hierarchical logistic regression analysis, an analysis method that controls the input order of a series of independent variables, was performed for 67,835 senior citizens aged 65 and older. Results: In terms of predisposing factors-in women, the higher the level of education, the higher the oral examination practice rate, and the lower the oral examination practice rate in divorce and bereavement among those aged 75 years or older. Regarding enabling factors, the lower the income rating, the higher the oral examination experience rate in religious and social participants as well as, leisure and charity participants, and the lower the oral examination experience rate in the natural environment. Regarding the need factors, the oral examination practice rate was high when the subjective oral health level was recognized as good. Conclusions: As a result, Anderson's model confirmed that various factors affect oral examination experience behavior, and institutional support for policy consensus is needed to promote oral examination experience behavior in older people in various directions.