• The Journal of Korean Association of Computer Education
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• v.7 no.2
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• pp.1-9
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• 2004

After the computer education become essential in elementary school, computer subject which was absorbed by the other subjects is educating in independent way. However, since the contents of computer education in elementary school is based on the ICT literacy education, sequential disconnection problem appears between elementary school and secondary school computer education curriculum. Therefore, information ethics education that is one part of computer education also has same problems. To solve these problems of information ethics education, it is necessary to set the goal of information ethics education that should be educated through the whole courses of elementary and secondary school and to reorganize the contents. In this study, we analyzed the contents of information ethics education included in ICT literacy education and computer curriculum, and analyzed the contents of information ethics education included in U.S. computer curriculum. Based on these analysis, we designed a curriculum model for information ethics education in computer education.

• Journal of the Korea Convergence Society
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• v.9 no.10
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• pp.393-406
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• 2018

The depression and anxiety are the most popular mental disorders and not easy to distinguish because of their lots of similarities in the diagnostic criteria, related theories, and clinical symptoms. In this article, we developed the affect scale for distinguishable diagnosis, utilized the relationships between the Positive and Negative affect, and the depression and anxiety. We made up the seed scale of the items which selected by partial correlation, and set the scoring up by multiple regression method. The Multi-dimentional affect scale is reliable and working similarly as the scales used before, but less correlated to each other. We conclude that the affect scale achieved the diagnosis for distinguish between depression and anxiety. Our suggestions for the further study are to redeem the cultural differences, modify by the elaborate methods, and validate by the actual clinical data.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.10
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• pp.6483-6494
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• 2015

This study was conducted to investigate the prevalence, severity or impact of symptoms in hemodialysis patients and its relationship with self efficacy and family support to identify factors influencing their symptoms. A cross-sectional design was used and the subjects were 243 patients undergoing hemodialysis at local units. The patients were Dialysis Symptom Index (DSI), a questionnaire about the presence and severity of symptoms. The data were analyzed by descriptive statistics, independent t-test, Pearson coefficient correlation and multiple regression. There were significant differences in the total score of symptoms according to age and duration of hemodialysis. Symptoms score had significant negative correlations with family support (r=-.35, p<.001) and self-efficacy (r=-.16, p=.006). Family support explained 16.0% of the variance in symptoms score. Hemodialysis patients experience many distressing symptoms, which have negative effects on quality of their life. Promoting family support can help to reduce and control distressing symptoms in hemodialysis patients.

• Journal of Convergence for Information Technology
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• v.7 no.4
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• pp.185-194
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• 2017

The purpose of this study was to evaluate the association between industrial workers' job stress and oral health related quality of life and subjective happiness. The subjects of this study were 228 workers, from August 8 to September 2, 2016, research tool was the structured, anonymous, self-administrated questionnaire. The data were analyzed by SPSSWIN 18.0, t-test and one way ANOVA, Scheffe' post hoc test, Pearson correlation and Hierarchial multiple regression. Negative correlation was found between job stress and OHIP-14 and between job stress and subjective happiness and positive correlation was found between OHIP-14 and subjective happiness. As for the explanatory power of the independent variables affecting subjective happiness, gender, self-reported living status, self-reported general health, dental checkups, and job stress were significant variables. It is therefore necessary to run an industrial oral intervention program on a regular basis and cope positively with stress with the objective of helping workers improve their subjective happiness.

• Journal of Korea Multimedia Society
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• v.14 no.4
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• pp.567-576
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• 2011

In current Web 2.0 environment, one of the most core technology is social bookmarking which users put tags and bookmarks to their interesting Web pages. The main purpose of social bookmarking is an effective information service by use of retrieval, grouping and share based on user's bookmark information and tagging result of their interesting Web pages. But, current social bookmarking system uses the number of bookmarks and tag information separately in information retrieval, where the number of bookmarks stand for user's degree of interest on Web contents, information retrieval, and classification serve the purpose of tag information. Because of above reason, social bookmarking system does not utilize effectively the bookmark information and tagging result. This paper proposes a Web contents ranking algorithm combining bookmarks and tag information, based on preceding research on associative tag extraction by tag clustering. Moreover, we conduct a performance evaluation comparing with existing retrieval methodology for efficiency analysis of our proposed algorithm. As the result, social bookmarking system utilizing bookmark with tag, key point of our research, deduces a effective retrieval results compare with existing systems.

• The Journal of the Korea Contents Association
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• v.21 no.8
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• pp.1-9
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• 2021

Deep learning in computer vision has made accelerated improvement over a short period but large-scale learning data and computing power are still essential that required time-consuming trial and error tasks are involved to derive an optimal network model. In this study, we propose a similar image classification performance improvement method based on CR (Confusion Rate) that considers only the characteristics of the data itself regardless of network optimization or data reinforcement. The proposed method is a technique that improves the performance of the deep learning model by calculating the CRs for images in a dataset with similar characteristics and reflecting it in the weight of the Loss Function. Also, the CR-based recognition method is advantageous for image identification with high similarity because it enables image recognition in consideration of similarity between classes. As a result of applying the proposed method to the Resnet18 model, it showed a performance improvement of 0.22% in HanDB and 3.38% in Animal-10N. The proposed method is expected to be the basis for artificial intelligence research using noisy labeled data accompanying large-scale learning data.

• Journal of Korea Entertainment Industry Association
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• v.14 no.8
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• pp.391-396
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• 2020

This study was to examined the effect of chain types exercise of lower limbs on the motor performance differences for the life-carement. For this, twenty normal adult women participated and they were examined the differences of exercise effects about abdominal muscle activity and balance ability by applying two types of chain exercise. In order to identify the differences we let them conduct exercise for 4 weeks with each type of exercise. And we used paired t-test and Independent sample t-test for comparing the differences in the group and inter groups. There was a significant difference in the value of 0.05 to verify statistical significance. As a result of this research, it was found that closed chain exercise is more effective than open chain exercise in muscle activity and balance function. Therefore, in the clinical therapeutic environment, if you apply chain exercise for patient to improve lower limb motor performance, we would recommend the close kinematic chain exercise.

• Journal of Korean Society of Archives and Records Management
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• v.23 no.1
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• pp.127-132
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• 2023

The Incheon Medical Center Institutional Review Board (IRB), a department that reflects the characteristics of Incheon Medical Center, a medical and public institution, was established in 2013. IRB contributes to performing its role as a local accountable care hospital and protecting researchers and subjects by proving the ethics of research conducted at the medical center. So far, IRB has reviewed a total of 80 research proposals for human subject research and human-derived material research, and it currently exists as an independent department directly under the president of the medical center. This paper aims to explain the registration and preservation of IRB-related records, the maintenance of the Records Management Standard Table and related regulations, and archives, as well as to present limitations and improvements in the disclosure, utilization, and classification of records.

• Journal of Advanced Technology Convergence
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• v.2 no.4
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• pp.21-30
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• 2023

This paper tried to determine whether emotional dysregulation would function as a mediating variable when social exclusion affects SNS addiction tendencies. For this purpose, a survey was conducted targeting students enrolled in a university located in the central region. Responses from 298 people were analyzed. The analysis results show that social exclusion completely mediates emotional dysregulation and influences SNS addiction tendencies. Meanwhile, we set the two sub-dimensions of social exclusion as independent variables to determine whether it influences SNS addiction tendency through emotion regulation. It was found that the experience of being ignored influenced the tendency to addict to SNS by partially mediating the experience of emotion regulation, while the experience of rejection was found to affect the tendency to addict to SNS by fully mediating the experience of emotion regulation. These analysis results show that when establishing social exclusion as an influential factor in SNS addiction tendency, it is meaningful not only to set it as an overall factor but also to approach it by dividing it into individual factors.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.6
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• pp.77-91
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• 2023

Recently, there has been a worldwide increase in research and development on automated vehicles for commercialization. It is expected that the use of level 3 autonomous vehicles on continuous-flow roads will be introduced and will increase. Consequently, various studies have been conducted to investigate the impact of mixed traffic flow with automated vehicles based on the market penetration rate (MPR). However, these studies have been conducted independently, and the results have shown different trends. Therefore, this study attempted a quantitative analysis of the impact of automated vehicles on mixed traffic flow on uninterrupted roads through a meta-analysis. The results showed that the effect size estimated from an MPR of 75% or higher was statistically significant.