• Journal of the Korea Convergence Society
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• v.8 no.7
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• pp.85-92
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• 2017

This study attempted to identify convergence effect factors affecting career-preparation behavior among nursing students with clinical practice. Study participants were 159 students in D city and data were collected from September 25 to October 4, 2014. Participants' responses were analyzed using a stepwise regression analysis. As results, satisfaction with major, professional values, and positive psychological capital were positively correlated with career-preparation behavior. Significant and convergence predictors of career-preparation behavior were curriculum satisfaction, a subdomain of major satisfaction, and social awareness as a professional value. These findings showed that nursing students' career-preparation behavior was partly determined by major satisfaction and nursing professional values. positive psychological capital need to be investigated as a convergent influence factor of career preparation behavior of nursing students by further study.

• Journal of the Korea Convergence Society
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• v.11 no.9
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• pp.39-44
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• 2020

This study was to investigate the awareness and convergence factors of sexual harassment of 418 dental hygiene students in Jeollanam-do area. The data were analyzed using SPSS 22.0 program. Descriptive statistics of sexual harassment was 4.18, there were significantly different means with gender, grade and experience of sexual harassment. Descriptive statistics of self-esteem was 3.62. Awareness of sexual harassment and self-esteem was positive correlated. The convergence factors influencing awareness of sexual harassment were self-esteem, grade. gender and experience of sexual harassment. The explanatory power of the study was 12.1%. This study, expect to improve sexual harassment awareness levels, develop sexual harassment prevention and treatment, and use them as basics date to develop a program for education programs above.

• Information and Communications Magazine
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• v.27 no.1
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• pp.11-14
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• 2009

본고에서는 최근 방송과 통신 업계의 화두로 부상하였던 방송통신융합 현상을 이해함에 있어서 '컨버전스'의 개념과 주요 촉발요인을 짚어봄과 동시에 방송통신융합의 의의와 2010년 방송통신 융합정책의 방향, 특히 R&D정책을 중심으로 소개하고자 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.263-266
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• 2021

GPU 상에서의 효율적인 암호 구현을 위해서는 GPU 내부의 자원인 메모리와 명령어셋을 구현하고자 하는 암호 구조에 맞추어 사용하는 것이 중요하다. 본 논문에서는 Blowfish와 RC4를 최신 GPU 프로세서 상에서 최적 구현해 보고 성능을 저하시키는 요인들과 향상시키는 요인들을 비교 분석한다. 특히 파일암호화와 패스워드 크래킹에서 발생하는 암호화 구현 고려 사항에 대해 확인하며 해당 특징이 GPU 암호 구현 상에서 미치는 영향에 대해 확인해 보도록 한다. 마지막으로 앞에서 구현한 결과물의 성능을 저하시키는 요소에 대한 분석을 기반으로하여 높은 GPU 내성을 가지는 암호 설계를 위해 필요한 구조에 대해 확인해 보도록 한다.

• Journal of Convergence for Information Technology
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• v.10 no.3
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• pp.208-216
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• 2020

This study investigates major contributing factors that determine the marital stability among the disabled women in South Korea. Data collected from 124 women with disabilities were analyzed for this purpose. Multiple regression analysis was used to explore the determinants of the marital instability among the participants. The multiple regression analysis revealed that age, welfare receipt, health condition, depression, marital intimacy, marital satisfaction, marital conflicts and drinking problems were statistically significant predictors to the extent of marital stability among the disabled women in the total model. Based on the study results, several implications such as development of programs to improve marital stability of women with disabilities were discussed.

• Journal of the Korea Convergence Society
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• v.11 no.9
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• pp.367-374
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• 2020

This study aimed to determine factors affecting attitudes and digital literacy toward online learning of nurses. A cross-sectional study was conducted from 190 nurses working in hospitals. The factors influencing the online learning attitude were gender, working hospital size, and perceptions of internet usefulness and importance, and the factors influencing digital literacy were age, working position, perceptions of internet usefulness and importance, and attitudes toward online learning. Online learning and educational development of nursing could be explained in the context of rapidly evolving information and communication technologies, and it is necessary to consider learner factors such as attitudes and digital literacy toward online learning.

• Journal of the Korea Convergence Society
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• v.10 no.1
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• pp.277-283
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• 2019

The purpose of this study was to compare special education teacher with fellow workers in which skills and skill categories were judged critical to job success for individuals with intellectual disabilities. The results obtained from the study were as follows: First, both groups ranked work-related skill category most relevant for job success. Special education teachers deemed 'following instruction' and 'interest in the job' as critical to job success. And fellow workers ranked 'following instruction' and 'neatness' most important factors. The results of this study give us suggestions as to develop the vocational curriculum for individuals with intellectual disabilities.

• Journal of the Korea Convergence Society
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• v.8 no.9
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• pp.161-174
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• 2017

This study aimed to provide basic data for oral health promotion in adults by analyzing causal relationships for oral health practice determinants. A total of 204 questionnaires obtained from adults living in Busan and Gyeongnam area were analyzed to verify the study model with the Smart PLS v2.0 M2 software. Among oral health belief factors, the severity of and susceptibility to oral disease and benefit of oral care behavior affected oral health-related self-efficacy. The self-efficacy on ordinary oral health care behavior significantly affected overall oral health practice. The severity of and susceptibility to oral disease and benefit of oral disease prevention behavior affected toothbrushing habit and oral examination and training through toothbrushing-related self-efficacy. Therefore, the increased oral health-related self-efficacy through strategic efforts, including various training media development, with improved awareness of oral health belief by continuous oral health care program development will lead to continuous oral health practice in adults.

• Journal of the Korea Convergence Society
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• v.9 no.12
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• pp.89-98
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• 2018

The purpose of this study was to analyze the effects of middle school students' health factors and eating behaviors on their oral symptoms using the data from 30,885 students in the 13th Korea Youth Risk Behavior Web-Based Survey in 2017. The logistic regression for the effects of the health factors and eating behaviors on the oral symptoms were analyzed using a logistic regression method. The results showed that the groups of higher levels of achievement, and stress, lower daily frequency of tooth-brushing, and no intake of processing meat led to significantly higher levels for toothache and gingival pain recognition. Also, the higher halitosis recognizers had significantly higher levels of stress and the lower daily frequency of tooth-brushing. In conclusion, adolescents' health factors and eating behaviors affected their oral symptoms. This study is expected to help development of a oral health education program that can prevent these oral symptoms.

• Journal of the Korea Convergence Society
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• v.13 no.3
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• pp.33-41
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• 2022

In this article, we proposed to predict natural gas (NG) leakage levels through feature selection based on a factor analysis (FA) of the integrating the Korean Meteorological Agency data and natural gas leakage data for considering complex factors. The paper has been divided into three modules. First, we filled missing data based on the linear interpolation method on the integrated data set, and selected essential features using FA with OrdinalEncoder (OE)-based normalization. The dataset is labeled by K-means clustering. The final module uses four algorithms, K-nearest neighbors (KNN), decision tree (DT), random forest (RF), Naive Bayes (NB), to predict gas leakage levels. The proposed method is evaluated by the accuracy, area under the ROC curve (AUC), and mean standard error (MSE). The test results indicate that the OrdinalEncoder-Factor analysis (OE-F)-based classification method has improved successfully. Moreover, OE-F-based KNN (OE-F-KNN) showed the best performance by giving 95.20% accuracy, an AUC of 96.13%, and an MSE of 0.031.