• Journal of Convergence for Information Technology
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• v.11 no.11
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• pp.204-209
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• 2021

This study is a data analysis study to identify the factors influencing the prevalence and risk factors for falls of older adults with dementia in Korea. Using the data of the 7th Aging Research Panel in 2018, 119 people were enrolled. We used response data on the dementia-related factors that is the duration of dementia and whether or not activity of daily living was restricted due to dementia. For comorbid diseases, data on hypertension, diabetes, and obesity were used. For statistical analysis of the collected data, logistic regression analysis was performed using SPSS statistics 22.0. Dementia-related factors and comorbidities of the analyzed subjects had a significant effect on the falling index. In particular, it was found that the influence was greatest in the order of obesity, diabetes, hypertension, daily life restrictions due to dementia, and the duration of dementia. This study is meant to identify factors that should be prioritized in the composition of a fall prevention program for the elderly with dementia. Based on the findings of this study, strategies for preventing falls due to the duration of dementia and limiting daily life, intensive management of high-risk groups for falls due to comorbid diseases, and training in the use of safety aids such as walking aids will be required in the care of the elderly with dementia,

• Journal of agricultural medicine and community health
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• v.46 no.4
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• pp.218-229
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• 2021

Objectives: The purpose of this study was to suggest the direction of the Healthy Village project for rural residents in accordance with the prolonged COVID-19 by investigating the digital environment for major health problems, the role of a health leader, necessary projects, and non-face-to-face projects for Healthy Village members in the COVID-19 epidemic. Methods: Telephone interview surveys were conducted with 585 residents from November 30, 2020 to December 21, 2020. Results: Health problems perceived by residents were in the order of concerns about infection (48.5%), depression (32.5%), difficulties in using medical services (9.4%), and lack of exercise (7.7%). The role of the health committee in the COVID-19 situation was "encouraging people to follow quarantine rules" with 91.3%. As a necessary health village project, there was a high demand for the provision of health products and mental health projects. 17.9% said that there is a computer or smart device connected to the Internet in their home, and 42.2% said that there is someone in the village who can easily get help if there is a problem in accessing and using Internet information. 36.9% were able to watch videos, and 22.2% were able to use the Internet through public facilities. Conclusion: In a public health crisis, where the provision of public health and medical services to rural residents is not smooth, it is necessary to manage health and quarantine through health leaders in the village, and it is required to establish a digital environment infrastructure that can conduct community participatory health village projects in a non-face-to-face environment.

• Journal of Korean Society of Forest Science
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• v.110 no.4
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• pp.610-621
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• 2021

The soil creep, primarily caused by earthquakes and torrential rainfall events, has widely occurred across the country. The Korea Forest Service attempted to quantify the soil creep susceptible areas using a discriminant value table to prevent or mitigate casualties and/or property damages in advance. With the advent of advanced computer technologies, machine learning-based classification models have been employed for managing mountainous disasters, such as landslides and debris flows. This study aims to quantify the soil creep susceptibility using several classifiers, namely the k-Nearest Neighbor (k-NN), Naive Bayes (NB), Random Forest (RF), and Support Vector Machine (SVM) models. To develop the classification models, we downscaled 292 data from 4,618 field survey data. About 70% of the selected data were used for training, with the remaining 30% used for model testing. The developed models have the classification accuracy of 0.727 for k-NN, 0.750 for NB, 0.807 for RF, and 0.750 for SVM against test datasets representing 30% of the total data. Furthermore, we estimated Cohen's Kappa index as 0.534, 0.580, 0.673, and 0.585, with AUC values of 0.872, 0.912, 0.943, and 0.834, respectively. The machine learning-based classifications for soil creep susceptibility were RF, NB, SVM, and k-NN in that order. Our findings indicate that the machine learning classifiers can provide valuable information in establishing and implementing natural disaster management plans in mountainous areas.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.3
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• pp.141-151
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• 2019

This paper aims to investigate the moderating effects of relationship quality between support services of food service franchisor and performance(re-contract intention) in food service franchise. For analyzing the relationship of them, the support services of food service franchisor categorized with initial service and continuous service. Also, the factors of relationship quality(satisfaction, trust, commitment) classified into detailed subfactor by confirmatory factor analysis. As a result, we found some statistically significant effects between the support services of food service franchisor and factors of relationship quality, and they sequentially affects to re-contract intention. Also, it's analyzed that factors of relationship quality have a role as a moderating variables by research model. That is, as a presented with previous research, there is verified that relationship quality is caused by support services of food service franchisor. Also, relationship quality factors significantly affect to performance(re-contract intention). Some guidelines for practicing potential food service franchise as a result of this would include; first of all, it is important to support the potential food service franchise consulting approach for some competitive advantage; secondly, effective governmental support programs for food service franchise should be developed for positive impacts of according to these results.

• Journal of Practical Engineering Education
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• v.10 no.1
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• pp.1-7
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• 2018

The dual security system that manages user's account information and uses NFC and OTP has been proposed. It also enhances the security of the user authentication phase by using the features that recognize within the range of less than 1m of NFC and the high security of NFC itself. During the graduation work design process which was carried out for one year and six months in a group of two in the electronics engineering major of the four-year undergraduate system was conducted. In the interim results, we participated in the conferences and thesis contest at the Institute of related to major for three times. Finally passed the examination process for three times judged by 6 professors in the major. The results were published in a graduation thesis together with other people who passed and composed in thesis form. Through the experience gained through these stages of design and production, it has gained the confidence to gain employment opportunities and actively pursue the growth stage, and presented a methodology to practice engineering education through employment.

• Journal of Convergence for Information Technology
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• v.9 no.5
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• pp.65-76
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• 2019

The purpose of this study was to investigate breast cancer its menopause in South Korean adult women using data from the seventh Korea national health and nutrition examination survey(KNHANES VII-2) 2017. The subjects were 3,414 people in total. The Data were analyzed by frequency, ${\chi}^2$ test and multiple logistic regression analysis using SPSS complex samples Win 25 program. According to the age of the subjects, breast cancer was 1.7% higher in women aged 50~59 years than aged 40~49 years, and 1.7% was significantly more frequent in women who had no drinking frequency than in almost everyday. Menopausal age was significantly higher in women under 44 years of age with breast cancer than in those over 50 years of age. According to menopause, postmenopausal breast cancer was 1.7% more than before menopause. When adjusted for age and alcohol drinking frequency, premenopausal adult women in Korea had significantly lower breast cancer frequency by 0.03 compared with postmenopausal women. Based on these results, it is important to pay attention to the management of breast cancer in young women aged 44 years or younger and multidisciplinary efforts are needed to reduce the ever-increasing prevalence of breast cancer.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.12
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• pp.863-871
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• 2018

Existing vulnerability analysis tools are prone to missed detections, incorrect detections, and over-detection, which reduces accuracy. In this paper, cross-checking based on a vulnerability detection method using static and dynamic analysis is proposed, which develops and manages safe applications and can resolve and analyze these problems. Risks due to vulnerabilities are computed, and an intelligent vulnerability detection technique is used to improve accuracy and evaluate risks under the final version of the application. This helps the development and execution of safe applications. Through incorporation of tools that use static analysis and dynamic analysis techniques, our proposed technique overcomes weak points at each stage, and improves the accuracy of vulnerability detection. Existing vulnerability risk-evaluation systems only evaluate self-risks, whereas our proposed vulnerability risk-evaluation system reflects the vulnerability of self-risk and the detection accuracy in a complex fashion to evaluate relative. Our proposed technique compares and analyzes existing analysis tools, such as lists for detections and detection accuracy based on the top 10 items of SANS at CWE. Quantitative evaluation systems for existing vulnerability risks and the proposed application's vulnerability risks are compared and analyzed. We developed a prototype analysis tool using our technique to test the application's vulnerability detection ability, and to show that our proposed technique is superior to existing ones.

• Journal of Convergence for Information Technology
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• v.11 no.1
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• pp.183-190
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• 2021

The purpose of this study was to determine the change trend of emergency department visits among elderly patients with chronic diseases. Using the National Emergency Department Information System data, from January 1, 2014 to December 31, 2019, the selected patient data were evaluated for the emergency department discharge main diagnosis codes for eight chronic diseases. The incidence of elderly chronic diseases, emergency department visits, and admission rates were analyzed. Since 2014, there has been a consistent increase in the number of elderly patients visiting the emergency department, especially among those aged over 85 years. The number of emergency department visits among the elderly chronically ill patients also increased, with a significant increase in ischemic heart disease and arthrosis cases. Furthermore, there was a significant difference in the number of chronically ill patients in each year from 2014-2019 (P<0.001). With respect to the trend of admission rates to the emergency department by chronic disease, most diseases showed an increasing trend (P<0.001). however, hyperlipidemia showed a continuous decreasing trend in all age groups since 2014 (P<0.001). Among the elderly chronically ill patients, a greater increase in the admission rate following emergency department visits was noted in those over 85 years of age, with a significant difference in all diseases, except for hyperlipidemia, hypertension, and tuberculosis (P<0.001). As the aging population grows, the emergency department admission rates among the elderly chronically ill patients will rise rapidly. This could create issues with respect to the use and consumption of emergency medical resources. Hence, it is necessary to manage chronic diseases effectively in the elderly.

• Journal of Convergence for Information Technology
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• v.11 no.3
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• pp.54-67
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• 2021

This study is a secondary data study that analyzes the factors affecting the quality of life of the elderly with metabolic syndrome and the elderly with metabolic syndrome with osteoporosis using data from the 7th year of the National Health and Nutrition Survey (2018). The subjects of this study were 639 patients with metabolic syndrome and 161 patients with metabolic syndrome with osteoporosis. For data analysis, the composite sample Rao-Scott χ2 test, general linear model t-test, and regression model were used. As a result of the study, the factors that lowered the quality of life of metabolic syndrome were age, cohabitation, strength training, subjective health status, activity restriction, body mass index and depression, and the explanatory power was 50.4% (F=515.96, p<.001). In metabolic syndrome with osteoporosis, age, subjective health status, activity restriction, and stress were the factors that lowered the quality of life, and the explanatory power was 48.6% (F=10.42, p<.001). Based on these results, it is necessary to develop and provide an intensive multidisciplinary program for the elderly with metabolic syndrome accompanied by osteoporosis to solve the problem of activity restrictions and manage stress reduction through positive acceptance of health status, instrumental and social support, and caring support.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.12
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• pp.651-659
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• 2020

The objective of this study is to provide high-quality medical service, by understanding the characteristics and death risk factors of patients at V long-term care hospital, that has established and operated the cooperative treatment system in connection with a public institution, the S veterans hospital. A follow-up survey targeting a total of 850 discharged patients was conducted for the year 2017. Average age of patients was 79.2 years, with 86.4% belonging to the 70 years or over group. The men of national merit were 75.4%, which was more than three times higher than general patients. Hospitalization for 180 days or more was 46.4%, which was higher than general long-term care hospitals (37%). The major death risk factors were age and the number of hospitalized days. Our data indicate that transfer to S veterans hospital results in providing quicker treatment and higher effectiveness of the numerous recovery therapies. We therefore propose that the cooperative treatment system should be expansively operated to increase the quality of happy life, by alleviating the health of patients with chronic diseases in a long-term care hospital.