• 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.

• Journal of Convergence for Information Technology
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• v.7 no.5
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• pp.25-30
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• 2017

This study was to investigate the supporting awareness and empathy with the dental hygiene student. The participants were 193 dental hygiene students in Gwang Ju city and analyzed by the frequency analyzed, t-test, ANOVA, pearson corelation coefficients and multiple regression analysis using IBM SPSS STATICS 20.0. Supporting awareness and empathy about the elderly had a significant positive correlation. Factors influencing empathy were interest of elderly problem and supporting awareness. It is necessary to the establishment of a subject and education program about elderly in dental hygiene students.

• Journal of the Korea Convergence Society
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• v.10 no.3
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• pp.355-362
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• 2019

The aim of this study was to identify factors affecting life satisfaction for adolescents with asthma or atopic dermatitis. Korean Child and Youth Panel Survey (KCYPS) Data in 2016 was used. The data were analyzed by Chi-square test, t-test, one-way ANOVA and stepwise multiple linear regression. In multiple stepwise regression analysis, less depression, higher resilience, higher self-esteem, more affectionate parenting behavior, lower age enhances the life satisfaction of adolescents with allergic disease. Educational program is necessary to improve the life satisfaction of adolescents with asthma or atopic dermatitis which is reflecting the result of this study.

• Journal of Convergence for Information Technology
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• v.9 no.2
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• pp.55-64
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• 2019

The purpose of this descriptive research is to get basic data for educational program after investigating convergent effect of psychological capital on learning satisfaction of nursing freshmen. Using SPSS 21, T-test, ANOVA, Pearson's correlation coefficient and hierarchical multiple regression of the 164 collected data were carried out. The mean scores of psychological capital and learning satisfaction were above the middle, and the 'hope' was the highest among subdomains of psychological capital. There was a positive correlation between psychological capital and learning satisfaction(r=.665, p<.001). School performance(${\beta}=.311$), school life satisfaction(${\beta}=.191$) and psychological capital(${\beta}=.522$) were the significant factors of learning satisfaction in hierarchical multiple regression(F=37.651, p=.004). The explanatory rate of variables on learning satisfaction was 57.4%. It is needed applying these results in developing learning satisfaction programs, but it isn't appropriate to generalize these results conducted on nursing freshmen in one university.

• Journal of the Korea Convergence Society
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• v.12 no.5
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• pp.79-84
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• 2021

The objective of this paper is to find out the factors for the performance of the Hospital Customer Relationship Management (HCRM) system. Furthermore, the relationships between these factors have been analyzed. In order to analyze the performance of the HCRM system, factor analysis with several Key Performance Indicators (KPIs) was conducted. And also multiple regression analysis and Chi-square test were executed. In this study, several hypotheses were derived to analyze the relationships between factors of performance of HCRM system. These hypotheses were tested by using the Structural Equation Model (SEM). As the result of this study, we discovered the HCRM-Infrastructure has positive effects on the HCRM-Performance. And the HCRM-Performance has also positive influences on the hospital management performance. On the basis of the research result, we proposed some suggestions and guidelines for the successful implementation and improvement of HCRM system.

• Journal of Convergence for Information Technology
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• v.9 no.3
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• pp.120-127
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• 2019

A study on the factors affecting oral health beliefs of some high school third graders on oral health promotion behavior After the oral health education on November 21, 2017, 160 students who explained and agreed on the study purpose and method were final analyzed. Oral health belief and oral health promotion behavior according to general characteristics were analyzed with t-test, one-way ANOVA, and the correlation with Pearson's correlation test. The convergence factors affecting oral health promotion were performed multiple regression analysis. The convergence factors affecting oral health promotion were performed multiple regression analysis. Oral health belief was the highest with 3.61 points, with 4.06 points of benefit, while oral health promotion with 3.25 points. Convergence factors affecting oral health improvement were shown as susceptibility (${\beta}=-0.210$), salienece(${\beta}=0.396$), seriousness(${\beta}=0.306$), and barrier(${\beta}=-0.170$). To explore ways to change the oral health beliefs of high school students, the school district health education is very important, and various oral health education programs to promote oral health promotion should be developed.

• The Journal of the Korea institute of electronic communication sciences
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• v.11 no.8
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• pp.817-826
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• 2016

The importance of common life safety is getting growth with modern society progress. This paper shows the extended way of assessment of danger that outcomes better result than the previous assessment based on crime frequency assessment. The assessment of this paper involves time, illusion degree, floating population and the personal condition. The evidence theory is not beneficial when the number of component increases, the assessment is more complex than before. This research solves the problem through the fuzzy theory adoption. This paper shows more advanced result that can express better danger awareness and get the adjective expression.

• 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 Convergence for Information Technology
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• v.10 no.4
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• pp.25-34
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• 2020

The purpose of this study was to identify its influencing factors of depressive symptoms in postmenopausal middle-aged women though analyzing secondary data. The data of 647 with 40~65 aged women who participated in the Seventh Korea National Health and Nutrition Examination Survey in 2016 were used. The data were analyzed by complex sample independent t-test and multiple linear regression. In multiple linear regression analysis, economic status, subjective health status, perceived stress, smoking, physical activity, and limitation of active had significant effect on depressive symptoms in postmenopausal middle-aged women. These variables explained 36% of the variance in depressive symptoms. The findings suggest that healthcare providers should be considered to these factors when developing intervention strategies to decrease depressive symptoms in postmenopausal middle-aged women.

• Journal of the Korea Convergence Society
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• v.8 no.12
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• pp.317-327
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• 2017

The purpose of this study is to analyze the effects of the convergence of the in-flight meal quality, the customer satisfaction, the brand image and brand loyalty. A total of 170 questionnaires were finally used for the 'analysis of factors, analysis of reliance, analysis of corelation and multiple regression analysis.' We found out that the in-flight meal quality came up with the food factor, service factor and cleanliness factor. The results of the study are as follows; First, only the food factor and the service factor positively affected the customer satisfaction. Second, the food factor and the service factor positively affected the brand image. Third, the customer satisfaction positively affected the brand image and the brand loyalty. Lastly, the brand image positively affected the brand loyalty. According to this study, the in-flight meal quality, customer satisfaction, brand image and brand lo oyalty in the airline service are very important factors for a successful marketing strategy.