• Journal of Digital Convergence
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• v.15 no.10
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• pp.9-18
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• 2017

The purpose of this study is to investigate the effects of welfare services experience by the low-income seniors on the satisfaction of life focusing on mediating effects of family conflicts and depression. For this, was used 11th date (2016) of Korean Welfare Panel. And the SPSS WIN 19.0 program was used to verify the characteristics and correlation of variables related to life satisfaction and hierarchical regression analysis. The subjects were 675 seniors aged 65 and over that had experience of using welfare service. The results are as follows. First, the seniors' welfare service usage experience had a positive effect on their satisfaction of life. Second, the seniors' use of welfare services affects the satisfaction of life that had partially mediating effect on family conflicts. Third, the seniors' experience of using welfare services affects the satisfaction of life that had partially mediating effect on depression. As a result, seniors' welfare service was practically improved in quality. The necessity of social welfare policy and development of various programs that can improve the satisfaction of life by alleviating family conflict and depression was suggested.

• Journal of Digital Convergence
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• v.18 no.11
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• pp.595-605
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• 2020

This study was a qualitative research to investigate the adaptation process and stress experiences of female marriage immigrants to Korean culture, and to explore life experiences and meanings to cope with them. Participants in the study collected data through individual in-depth interviews targeting 5 female marriage immigrants with more than 5 years of marriage using the Healthy Families·Multicultural Family Support Center located in ◯◯-gu, Incheon City. Using the six steps of Braun & Clarke's topic analysis method, 3 main topics and 13 subtopics were derived. Research Results First, cultural differences experienced by female marriage immigrants in Korean life (daily life culture, tradition, family relations) Second, the cultural adaptation process experienced by female marriage immigrants (difficulties and fears-understanding cultural differences-efforts to overcome) Third, it was found that the cultural adaptation of female marriage immigrants is that Korean lifestyle becomes natural and familiar by knowing the difference in lifestyle between their mother country and Korean culture, and finding and practicing the way they want to live with Korean people. Based on the research results, a practical intervention plan for successful cultural adaptation of female marriage immigrants was presented.

• Journal of Digital Convergence
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• v.15 no.5
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• pp.381-390
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• 2017

Lifestyle is an important variable to understand consumer behavior because it is a lifestyle that is common to all members of society or some members of society. so In this study, the survey has been performed on adult mobile game users over the age of 20 in Korea and China to evaluate the correlation between lifestyle and will of continuous use of game by mobile game users, and the hierarchical multiple regression analysis has been performed on the collected data by using the statistical package program SPSS 20.0. There were total 212 respondents with the gender ratio of 50:50, and 107 respondents were Korean, and 105 respondents were Chinese. As a result of study, first, regardless of lifestyle, more male and more Chinese respondents showed higher will of continuous use. Second, among mobile game user lifestyles, the challenge-oriented, trend-oriented, conservative, and ostentatious lifestyles could become significant causal variables for the will of continuous use of game. Yet, the influence of such lifestyle was not correlated with individual genders or nationalities. The result of this study will be provided as the basic data to establish the strategic solution for companies and government policies for entrance into the mobile game market of China in the future.

• Journal of Digital Convergence
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• v.16 no.1
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• pp.85-92
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• 2018

In this study investigated the factors for the career preparation behaviors of social welfare major students based on Lent et al. (1994)'s Social-cognitive Career Theory so as to provide essential baseline data for establishing proper career support strategies that suit the distinctive nature of social welfare studies. The participants of this study are 132 social welfare major students from three colleges who have completed social welfare field education. This study analyzed the relationship between cognitive factor (outcome expectation), vocational interest factor (major selection satisfaction), goal factor (career decision level), and work performance factor (career preparation behavior). For analysis, SPSS 24.0 and AMOS 24.0 were used. The analysis results are as follows. First, the model's goodness of fit was found to be at a statistically ideal level with CFI=.904, TLI=.887, and RMSEA=.068. Second, the result of analyzing the correlation between the primary variables is as follows: as outcome expectation increased, major selection satisfaction grew, which then increased the career decision level and led to the improvement in career preparation behavior. These results indicate the importance of developing a customized route support program considering the perceived and interesting factors of individual students to improve their career preparation behavior for social welfare majors.

• Journal of Digital Convergence
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• v.14 no.9
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• pp.495-504
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• 2016

The purpose of this study was conducted to investigate the perception and attitude toward physical restraints among elderly care workers. The subjects were 153 care workers who are working at elderly care facilities within the regions. Data were collected by structured questionnaires. Collected data were analyzed using descriptive statistics, t-test, ANOVA, $Scheff{\acute{e}}$ test and Pearson Correlation Coefficient. The mean score of the perception for physical restraints was 2.83 out of 5, and the mean score of the attitude for the physical restraints was 3.56 out of 5. There was a statistically significant positive correlation between the perception and attitude about physical restraints (r=.31, p<.001). This research has confirmed that it is necessary for care workers to have education about low score items of recognition and attitude about physical restraints. Therefore, we need to develop proper and efficient educational program about use method for physical restraints, and need to develop guideline for adopting physical restraints. Also, we should make efforts and attentions to reduce or abolish physical restraints in order to protect the elderly human rights.

• Journal of Digital Convergence
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• v.16 no.10
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• pp.313-321
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• 2018

Purpose: The purpose of the study was to identify the associated factors on the metabolic syndrome among inpatients with schizophrenia. Methods: The participants were 127 inpatients with schizophrenia from G mental hospital in G city. Collected data were analized with SPSS 22.0 using descriptive statistics, ${\chi}^2$-test, t-test and logistic regression. Results: Metabolic syndrome prevalence of the participants was 46.5%. There were statistically significant differences according to physical disease (${\chi}^2=11.51$, p<.001), body mass index (${\chi}^2=13.59$, p<.001), perception of obesity (${\chi}^2=8.38$, p<.001), and taking olanzapine (${\chi}^2=6.31$, p<.05). Conclusion: Based on the study results, the nursing intervention for prevention and management of metabolic syndrome is needed to develop and provide to schizophrenia patients.

• Journal of Digital Convergence
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• v.18 no.9
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• pp.285-295
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• 2020

The purpose of this study was to identify factors affecting college-based stress and develop stress-relieving educational programs. Data were collected from 169 students in G-province, from June 15th to july 15th, 2020. Analysis was done using IBM SPSS 21.0 for frequency, percentage, average, standard deviation, t-test, ANOVA, Pearson correlation coefficient, and Multiple regression. College-based stress positively correlated with life event, life event importance, interpersonal emotion, and self-control. The most important factor affecting college-based stress was psychological hardiness (β=-.323, p<.001), followed by club activities (β=.237, p<.001), interpersonal conflict (β=.215, p=.001), grade-2 (β=-.203, p=.001), department adaptation (β=.161, p=.010), and age-21 (β=-.149, p=.024). The explanatory power was 44.4% (F=42.43, p<.001). The results of this study are expected to be used as basic data for the development of educational programs for stress reduction at the university level. Therefore, educational programs considering age and grade, using club activities as support systems, and dealing with psychological hardiness and department adaptation are needed.

• Journal of Digital Convergence
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• v.17 no.10
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• pp.349-357
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• 2019

The purpose of this study was to investigate the effects of body mass index(BMI) on insulin. fasting blood sugar(FBS), and hemoglobin A1c(HbA1c). This study analyzed the data of 2015, The Sixth KNHANES, and it was included to 4554 subject over 20 years old. Data were analyzed using descriptive statistics, t-test, ANOVA, Pearson correlation coefficient and stepwise multiple regression analysis(SPSS 25.0). The major findings, BMI was positively correlated with insulin(r=0.397, p<0.001), FBS(r=0.241, p<0.001), and HbA1c(r=0.237, p<0.001). Factors affecting insulin are overweight(${\beta}=.130$, t=8.193, p<0.001), obesity(${\beta}=.390$, t=24.390, p<0.001) and age. the explanatory power is 13.1% (F=53.584, p<0.001). Factors affecting FBS were overweight(${\beta}=.072$, t=4.478, p<0.001), obesity(${\beta}=.186$, t= 11.485, p<0.001), age, the explanatory power was 10.6% (F=42.351, p<0.001). Factors affecting HbA1c were overweight(${\beta}=.059$, t=3.712, p<0.001), obesity(${\beta}=.190$, t=11.895, p<0.001) age and sex, the explanatory power is 14.1% (F=58.134, p<0.001). Based on this study result, diabetes mellitus prevention and management programs should include interventions related to obesity.

• Journal of Digital Convergence
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• v.20 no.3
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• pp.241-249
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• 2022

Artificial intelligence is applied not only to the daily life of individuals but also to all industries, and it is no wonder that the age of artificial intelligence has arrived. Therefore it is important to understand the factors that influence the acceptance of AI. This study analyzes whether "AI Effect" which recognizes that commercialized or familiar artificial intelligence is no longer artificial intelligence, affects the acceptance of artificial intelligence and proposes an acceptance plan based on the results. Two experiments were conducted. The first experiment was conducted on 105 adults in the result it was found that 32.4% (34 people) had AI Effect, AI Effect existed in 43.6% (24 people) of women and 20% (10 people) of men, that is, the proportion of AI Effect exsitence in women is about twice as high.and AI Effect exists when the level of AI knowledge is low. The second experiment was conducted 240 adults and 85 participants with AI Effect were selected. We found the group that recognized experience of AI accepted AI more actively. Understanding of AI Effect is expected to suggest companies' views in order to enhance AI capabilities and acceptance. In addition, future studies are expected on considering individual differences or related to acceptance attitudes.

• Journal of Digital Convergence
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• v.20 no.3
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• pp.325-331
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• 2022

As IoT devices are used in various ways in an edge network environment, multiple studies are being conducted that utilizes the information collected from IoT devices in various applications. However, it is not easy to apply accurate IoT data immediately as IoT data collected according to network environment (interference, interference, etc.) are frequently missed or error occurs. In order to minimize mistakes in IoT data collected in an edge network environment, this paper proposes a management technique that ensures the reliability of IoT data by randomly generating signature values of IoT data and allocating only Security Information (SI) values to IoT data in bit form. The proposed technique binds IoT data into a blockchain by applying multiple hash chains to asymmetrically link and process data collected from IoT devices. In this case, the blockchainized IoT data uses a probability function to which a weight is applied according to a correlation index based on deep learning. In addition, the proposed technique can expand and operate grouped IoT data into an n-layer structure to lower the integrity and processing cost of IoT data.