• Human Ecology Research
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• v.57 no.3
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• pp.419-430
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• 2019

This study examined the influences of middle school students' affective empathy and guilt-proneness on defending behavior against bullying and investigated if class climate (teacher support and student support) had moderating effects. The participants consisted of 163 second to third grade students (77 boys and 86 girls) in Seoul and Gyeonggi-do. The data were analyzed with descriptive statistics, Pearson's correlation, and hierarchical regression. Moderating effects were examined using multiple regression analysis. The results of this study indicated that guilt-proneness, teacher support, and student support had significant effects on the defending behavior of middle school students. The higher the level of guilt-proneness, the higher the level of defending behavior. Defending behavior was also higher when students perceived a belongingness to a classroom where their teacher and students provided support. However, affective empathy had no effect on defending behavior. Second, teacher support moderated the relation between guilt-proneness and defending behavior. The effects of guilt-proneness on defending behavior against bullying were greater when teacher support was high compared to low. The results suggested that guilt-proneness and classroom climate play important roles in increasing defending behavior in middle school students. Some implications for future research were also discussed.

• Korean Journal of Childcare and Education
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• v.15 no.5
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• pp.69-86
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• 2019

Objective: This study aimed to provide a systematic understanding of children's peer initiative and peer acceptance and to offer specific information to increase young children's social competence. Methods: Participants were 235 5-year-old children from six child care centers in Sejong City. The participants were interviewed to measure the peer acceptance of children attending the same class. Also, a survey was conducted on their teachers to measure children's peer initiative and the relationship with them. The collected data were analyzed by hierarchical regression using the SPSS 21.0 program. Results: The results showed that significant main effects of friendly and unfriendly peer-initiatives on peer acceptance were found. The effects of teacher-child relationships and their moderating effects, however, were partial; only main influences of close relationships and the interaction effects between peer-initiatives and close relationships were significant. That is, the relationships between improper initiatives and low acceptance levels among peers were more intense when children established conflict relationships with their teacher. Conclusion/Implications: We found that close teacher-child relationships play moderating roles on the pathway from peer initiative to peer acceptance as a protective risk factor for children.

• The Journal of Information Systems
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• v.33 no.1
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• pp.69-90
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• 2024

Purpose In this paper, among the four information vulnerable groups(disabled, elderly, low-income, farmers and fishermen), the mediating effect of digital device usage attitudes in the effect of digital information utilization level of farmers and fishermen with a large digital information gap with the general public on life satisfaction was verified. Design/methodology/approach This study summarizes existing research related to the digital information gap between farmers and fishermen, and the empirical analysis is based on hierarchical regression analysis based on the 2022 Digital Information Gap Report (survey data on 2,200 farmers and fishermen) published by the Korea Intelligence Information Society Promotion Agency. Among the four major information vulnerable groups (the disabled, the elderly, low-income groups, and farmers and fishermen), attitudes toward using digital devices were examined in terms of the impact of the level of digital information use on life satisfaction among farmers and fishermen, who have a relatively large digital information gap with the general public. It was verified as a mediating effect. Findings As a result of the empirical analysis, attitudes toward the use of digital devices were found to play a mediating role in the impact of the level of digital information use on life satisfaction.

• Journal of Digital Convergence
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• v.19 no.12
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• pp.531-539
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• 2021

Given the rapid development of information and communication technology (ICT) and the deepening of the information gap phenomenon in the context of the COVID-19 pandemic, researchers and practitioners need to understand the changing perceptions of new phenomena such as COVID-19 information gap on the existing information-vulnerable population. In this study, an empirical analysis was performed with the digital information gap survey data in 2020 to understand the potential impact of COVID-19 on the information gap according to the information-vulnerable class. This study is to verify the effect of information gap, marginalized groups, gender, and major factors of information services (contents, social relations, life services, information production, networking, social participation, non-face-to-face services) on the change in perception of digital information technology after Corona. Hierarchical regression analysis was performed. As a result of the analysis, it was found that the higher the content, social relationship, life service, networking, and digital non-face-to-face service, the higher the change in perception of digital information technology after Corona. Therefore, in light of the evolving phenomenon of COVID-19, it is considered that the government needs to provide education and training to strengthen the capabilities of the information-vulnerable class in order to resolve the digital information gap.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.9
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• pp.302-314
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• 2017

This study was conducted to investigate the relationship among character, nursing professionalism, self-efficacy and self-directed learning ability of nursing students as well as to identify the factors influencing self-directed learning ability. Data were collected from May 22 to June 8, 2017 using a self-report questionnaire and questionnaires from 396 nursing students in J Province. The data were analyzed by t-test, ANOVA, $Scheff{\acute{e}}$ test, Dunnett's T3 test, Pearson's correlation coefficient and hierarchical regression analysis. The mean scores of character, nursing professionalism, self-efficacy and self-directed learning ability were $3.93{\pm}0.47$, $3.83{\pm}0.48$, $3.53{\pm}0.59$ and $3.63{\pm}0.51$, respectively. Character, nursing professionalism, and self-efficacy were positively correlated with self-directed learning ability. The factors influencing self-directed learning ability of nursing students were participation in class, satisfaction with major, awareness of self-initiated life, self-control, will and competence, habit, and self-efficacy, nursing professionalism had no significant effect. Based on these findings, programs that develop character, self-efficacy, and nursing professionalism are necessary for nursing students to promote self-directed learning ability.

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.1
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• pp.7-14
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• 2010

In this paper, we introduce a hierarchical internet application traffic classification system based on SVM as an alternative overcoming the uppermost limit of the conventional methodology which is using the port number or payload information. After selecting an optimal attribute subset of the bidirectional traffic flow data collected from the campus, the proposed system classifies the internet application traffic hierarchically. The system is composed of three layers: the first layer quickly determines P2P traffic and non-P2P traffic using a SVM, the second layer classifies P2P traffics into file-sharing, messenger, and TV, based on three SVDDs. The third layer makes specific classification of the entire 16 application traffics. By classifying the internet application traffic finely or coarsely, the proposed system can guarantee an efficient system resource management, a stable network environment, a seamless bandwidth, and an appropriate QoS. Also, even a new application traffic is added, it is possible to have a system incremental updating and scalability by training only a new SVDD without retraining the whole system. We validate the performance of our approach with computer experiments.

• Journal of the Institute of Electronics and Information Engineers
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• v.49 no.12
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• pp.113-123
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• 2012

Recently, various attempts have been made to apply Intelligent Transportation System under various environments and conditions. Consequently, an accurate license plate recognition regardless of vehicle location and viewing angle is required. In this paper, we propose a novel license plate recognition system which exploits a) the format of license plates to remove false candidates of license plates and to extract characters in license plates and b) the characteristics of Hangul for accurate character recognition. In order to eliminate false candidates of license plates, the proposed method first aligns the candidates of license plates horizontally, and compares the position and the shape of objects in each candidate with the prior information of license plates provided by Korean Ministry of Construction & Transportation. The prior information such as aspect ratio, background color, projection image is also used to extract characters in license plates accurately applying an improved local binarization considering luminance variation of license plates. In case of recognizing Hangul in license plates, they are initially grouped according to their shape similarity. Then a super-class method, a hierarchical analysis based on key feature points is applied to recognize Hangul accurately. The proposed method was verified with high recognition rate regardless of background image, which eventually proves that the proposed LPR system has high performance regardless of the vehicle location or viewing angle.

• Journal of Korean Elementary Science Education
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• v.21 no.2
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• pp.213-226
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• 2002

The purpose of this research is to direct the 7th national primary science curriculum to be performed properly. The research is based on the questionnaire to investigate the primary teachers' appreciation of the curriculum. The questions are about the general aspect of the 7th curriculum and special treatises on science curriculum. Questionnaires were distributed to 1000 teachers, and 822 teachers answered them. According to the survey results the teachers' thoughts were as following: First, there must be enough time to develop a new curriculum. It is not desirable to change the old curriculum totally. There should be some continuity between the old and the new curriculum. Second, teachers appreciated that the learning resources and supplements were helpful, and interested students. Teachers thought that If equipment at class or school was not enough. Third, according to them the hierarchical structure of science curriculum was appropriate, but the contents need to be improved. Fourth, most teachers restructured the 7th science curriculum to adapt it to the class and school. They cooperated with one another in teaching science, and applied diverse teaching-learning methods according to the curricular contents and the grade levels. Teachers tried to evaluate all aspects of the students with various methods, but they felt it was hard. They were not active in developing evaluation tools as a team, and in objectifying the information about students. Fifth, teachers felt it was hard to implement the science curriculum according to different levels of the students. Based on the survey of teachers' thoughts, the following can be suggested for successful implementation and reorientation of the curriculum. First, teachers need learning opportunities to appreciate and adapt the 7th curriculum creatively. Second, they need guidances in implementing the different levels of the curriculum, and the information about the appropriate resources for it. Third, we need to control the relative difficulty of the curricular contents, and reduce the hours and quantity of the study. Fourth, we need to improve the school equipment and facilities. Networking and cooperation among education-related institutions are essential for better education. Fifth, it is desirable to develop concrete and diverse teaming models.

• The Journal of the Korea Contents Association
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• v.16 no.1
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• pp.1-12
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• 2016

The purpose of this study was to identify latent classes of socioeconomic status and to explore whether those of socioeconomic status influenced self-esteem among elderly living alone. From the data of 2009 National Elder Abuse Investigation, 1,333 older adults who were over 65 years and living alone were analyzed. Latent class analysis, one-way ANOVA, and hierarchical regression analysis were performed to test the purpose of this study. Results of this study found 5 latent classes of socioeconomic status, named as high education-low income group, low education-low income group, middle education-low income group, high education-high income group, and low education-high income group. Next, there were significant differences in self-esteem depending on 5 latent classes of socioeconomic status. Finally, compared to low education-low income group, high education-low income group, middle education-low income group, high education-high income group, and low education-high income group showed higher levels of self-esteem, even after adjusting for confounding factors. Findings from this study suggested fundamental characteristics and public policy for elderly living alone.

• Journal of KIISE:Software and Applications
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• v.30 no.1_2
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• pp.19-30
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• 2003

Based upon XML, a standard document format on the web, there have been many active studies on e-Commerce, wireless communication, multimedia technology and so forth. JML is an XML application suitable for understanding and reusing the source code written using JAVA for various purposes. And it is a DTD which can effectively express various information related to hierarchical class structures, class/method relationships and so on. This paper describes a tool which generates JML document by extracting a comment information from Java source code and information helpful for reusing and understanding by JML in terms of the reverse engineering and a tool which generates a skeleton code of Java application program from the document information included in the automatically or manually generated JML document in terms of the forward engineering. By using the result of this study, the information useful and necessary for understanding, analyzing or maintaining the source code can be easily acquired and the document of XML format makes it easy for developers and team members to share and to modify the information among them. And also, the Java skeleton coed generated form JML documents is a reliable robust code, which helps for developing a complete source code and reduces the cost and time of a project.