• The Journal of the Convergence on Culture Technology
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• v.8 no.4
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• pp.347-353
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• 2022

In the restaurant industry, start-ups are active due to high demand from consumers and low entry barriers. However, the restaurant industry has a high closure rate, and in the case of franchises, there is a large deviation in sales within the same brand. Thus, research is needed to prevent the closure of food franchises. Therefore, this study examines the factors affecting franchise sales and uses machine learning techniques to predict the success and failure of franchises. Various factors that affect franchise sales are extracted by using Point of Sale (PoS) data of food franchise and public data in Gangnam-gu, Seoul. And for more valid variable selection, multicollinearity is removed by using Variance Inflation Factor (VIF). Finally, classification models are used to predict the success and failure of food franchise stores. Through this method, we propose success and failure prediction model for food franchise stores with the accuracy of 0.92.

• Journal of the Korea Convergence Society
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• v.12 no.5
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• pp.255-266
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• 2021

This descriptive survey aimed to investigate the health promotion behaviors of patients with reflux esophagitis and identify the factors influencing it using the health promotion model. The survey was conducted with 178 outpatients diagnosed with reflux esophagitis at C university hospital. Data were analyzed by descriptive statistics, t-test, ANOVA, Pearson's correlation, and multiple regression using SPSS win ver 20. We found that alcohol consumption, BMI, perceived benefit, internal control level, and perceived health status of the patients are significant factors influencing health promotion behavior. The explanatory power was 49%. Therefore, this study is consistent with previous studies that elucidated that changing lifestyle behaviors and obesity control are necessary to alleviate reflux esophagitis. Based on these findings, we propose to develop and apply an educational program for evaluation.

• Journal of Convergence for Information Technology
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• v.12 no.5
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• pp.32-39
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• 2022

The purpose of this study was to identify job stress, resilience, and nursing performance, and to investigate affecting factors of nursing performance on hospital nurses. The subjects consisted of 141 general hospital nurse in the K city. The variables were measured using questionnaires, analyzed using descriptive statistics, t-test, ANOVA, and multiple regression analysis. The average score of job stress was 44.21±9.15, resilience was 2.86±0.65, and nursing performance was 3.78±0.48. The factors influencing on nursing performance were Total Clinical career, Career in present ward, and resilience. The explanation of nursing performance was 37%. These results suggest that it is necessary to consider these factors at the nursing organizational level to promote nursing performance. Also, it is necessary to construct education program that can enhance resilience and find a strategy to realize it.

• The Journal of Korean Association of Computer Education
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• v.19 no.6
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• pp.15-23
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• 2016

Recently the era of software integration which is expressed in words of the fourth industrial revolution has begun. Thus the need of the software education for the non-major preservice teachers who are cultivating future talent has been increasing and it is necessary to foster a positive attitude toward software education of non-major preservice teachers. The purpose of this study is to verify the causality between the computer learning attitude factors of non-major preservice teachers in the software education class. To analyze the causality, we performed correlational analysis and regression analysis between the exterior factors of attention, self-learning, application of learning and the other interior factors of computer learning attitude. As a result, the significant factor of attention was interests, and the significant factor of self-learning was superiority, and the significant factors of the application of learning were the sense of purpose and the motive of accomplishment.

• Journal of Industrial Convergence
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• v.22 no.2
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• pp.135-141
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• 2024

This study aimed to analyze the characteristics of health check-up recipients in their 20s and 30s in Korea and identify factors influencing the participation rate in order to enhance the rate of health check-ups. The study population and methods utilized data from the 8th year of the Korea National Health and Nutrition Examination Survey, specifically the 2nd year (2020), and targeted 1,453 Korean residents aged between 20 and 30. The factors affecting health check-up participation were divided into sociodemographic factors, health behavior factors, mental health factors, and medical utilization factors, and both simple logistic regression analysis and multiple logistic regression analysis were conducted. The analysis results showed that educational level, marital status, type of health insurance, employment status, and subjective level of health were the factors influencing health check-up participation among Korean individuals in their 20s and 30s. These research findings can serve as foundational data for improving the health check-up participation rate among individuals in their 20s and 30s.

• Journal of the Korea Convergence Society
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• v.10 no.10
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• pp.337-346
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• 2019

The purpose of this study was to investigate the convergence factors affecting disease management efforts of the middle-aged population who have comorbidities of all three metabolic diseases: type 2 diabetes, hypertension, and dyslipidemia. This study used raw data from the 2015 community health survey(CHS). A multiple hierarchical regression analysis was performed that the included variables explained 20.1% of the variance in weight-loss efforts, 6.8% of exercise efforts and 5.3% diet efforts respectively. This study revealed associations among gender, socioeconomic status, and behavioral habits of smoking and drinking with disease-management efforts. It is important to design a health service or supportive intervention with consideration of multiple factors for patients with multiple metabolic disease.

• Journal of Convergence for Information Technology
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• v.12 no.2
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• pp.54-62
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• 2022

This exploratory study aims to identify effect on core nursing competency of nursing students who experienced convergence practice due to COVID-19. The subjects of this study surveyed 123 senior nursing students in U city with a structured self-report questionnaire analyzed by the SPSS 22.0 software, t-test, One-way ANOVA, correlation, and multiple regression analysis. The average scores for nursing competence scale, self-directed learning ability, learning satisfaction, learning outcomes were 3.99, 3.71, 4.11 and 4.25 out of 5.00. The factors affecting of students' nursing competencies were self-directed learning ability, learning outcomes with 29 percent being explained by these variables. Learning satisfaction did not affect core nursing competency. Through this study we found that high quality educational environment should be prepared to improve these limitations. it is considered that a clear and systematic standard for the educational environment and evaluation of clinical practice is needed.

• Journal of Sensor Science and Technology
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• v.4 no.4
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• pp.47-54
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• 1995

Sensory measurements are inevitably uncertain, and this may decrease the reliability of sensor feedback systems. In this paper we present a method to achieve reliable measurements using multiple sensors. Assuming sensors with unknown characteristics in dynamic surroundings, readings from the sensors are clustered and fused with the estimated degrees of credit. In the experiment performed with logical sensors the technique proposed is employed to adaptively estimate the measurand under the circumstances where an existing probabilistic technique is difficult to be applied. The technique proposed may be useful for automatic systems working in unstructured environments - for example, sensory robots employed for intelligent manipulation.

• Journal of Convergence for Information Technology
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• v.9 no.6
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• pp.19-25
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• 2019

This study was attempted to identify the convergence factors that affected the gambling abstinence self-efficacy among college students using gambling. The participants were 134 students with gambling experience at two universities in C city and G city. The results of this study are as follows. Stress(r=-.314, p<.001) and gambling change motivation(r=.272, p=.001) showed a significant correlation with gambling abstinence self-efficacy in correlation analysis. The greatest influence on gambling abstinence self-efficacy in multiple regression analysis was identified in order of stress(${\beta}=-.29$, p<.001), gambling change motivation (${\beta}=.25$, p=.003). The results of this study suggest that a gambling prevention education program which can manage stress and strengthen the gambling change motivation of college students using gambling is needed to improve the gambling abstinence self-efficacy.

• The Journal of the Korea Contents Association
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• v.22 no.10
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• pp.703-722
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• 2022

The concentration of local businesses in the capital region promotes a decrease in the local population and polarization between the capital region and non-capital regions. It affects the competitiveness of local industries and creates a vicious cycle throughout the local economy, society and culture. Therefore, this study classified the companies in the capital region and non-capital regions by group and examined the effect of the innovation capability factors of companies on the creation of business performance. We analyzed the effects of R&D capabilities, which are elements of innovation capability, and open innovation and convergence capabilities on business performance. Smart PLS 3.0 was used for analysis including direct and indirect mediating and moderating effects, multi-group analysis, and structural equation model analysis. As a result, R&D capability did not have a significant effect on business performance, but it has a positive influence towards business performance through convergence capability and open innovation. However, the effectiveness of open innovation in non-capital regions and convergence capabilities in capital region were not statistically significant. In particular, in terms of open innovation, as the difference between groups is statistically clear, follow-up measures are suggested especially in non-capital regions.