• Journal of Internet of Things and Convergence
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• v.8 no.1
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• pp.73-78
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• 2022

Due to COVID-19, the digital transformation centered on unmanned and non-face-to-face is accelerating. Like a digital civilization, it is changing into a digital age, but for those who cannot use digital, the inconveniences in daily life are falling to the level of digital illiteracy. There is a social gap between digital users and non-users, and digital non-users are separated from society. For the digital socialization of the digitally underprivileged, the transition to the digital world is accelerating, and the ability to use digital in everyday life is becoming more important. As the transition to the digital world accelerates, individual social and economic differences are occurring. These problems are hindering the sustainable growth of society. In this study, in order to receive digital education conveniently, we intend to design an education model with excellent accessibility as an education that can be received by all citizens. It is intended to propose a digital education model that can be used universally and solve the inconvenience of life through digital comprehensive competency education that can be received step by step and can be easily received.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.6 no.1
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• pp.83-87
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• 2012

This study is aimed to identify latent classes which are based the change patterns in assistive technology device use among worker with disabilities and to test the effects of independent variables(gender, education, disability type, disability density, activity and participation of ICF: ICF, subjective socioeconomic status: SES, job satisfaction, life satisfaction) on determining latents classes. This study applied Nagin's(1999) semi-parametric group based approach to the panel survey of employment for the disabled. Because dependant variable has dichotomous scale, logit model was used. The results identified three latent classes, which could be defined based on the patterns as follows; assistive device continued use group, assistive device mid-level use group, assistive device sharp decline use group. The effects of the independent variables on the latent classes was tested by multinomial logit analysis. The results showed that education, disability type, ICF, SES, and life satisfaction were significant determinants of the latent classes. Finally, the implications based on analysis results were suggested.

• Journal of Korea Water Resources Association
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• v.35 no.6
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• pp.703-714
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• 2002

During drought, there have been a number of conflicts because of the limited and insufficient water to allocate for the numerous water users. To solve the problems, the decision on the priority of water use should be made with social rationality A rational and systematic procedure needs to be implemented in order to decide the priority of water use. First, a criteria level is made of the main and detailed drought impacts which come from the economic, environmental, and social aspects. Four alternatives are then identified for priority of water use. Second, survey to the two group(professional, residents) has been done with using pair wise comparisons. Finally, the relative weights and the priority of alternatives are determined by means of the Analytic Hierarchy Process(AHP) which is one of the Multi-Attributed Decision Method(MADM). By using AHP, it has been concluded that the water allocation during drought should be accomplished in order of domestic, irrigation, industrial, and river maintenance water. If the AHP method were improved for inconsistency which may be generated with survey analysis, a number of applications will be used for the solutions of problem in water resources systems.

• Journal of the Economic Geographical Society of Korea
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• v.19 no.4
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• pp.729-742
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• 2016

Socio-economic polarization in Korea partly due to recent globalization and industrial restructuring could reduce social mobility significantly through passing down educational achievement to one's children. Under the notion that residential segregation is geographical frame for the reproduction of educational inequality, this research investigates residential segregation by educational attainment and neighborhood disparity with a case study of Seoul. The statistical analyses employed local segregation measures such as Location Quotient and Local Moran's I and a variety of variables that reflect neighborhood characteristics. As a result, it found that there are sharp and clear contracts between low- and high-educational group concentrations/clusters particularly in terms of housing characteristics and educational facilities. This results provide some evidences that support the arguments about the causes of residential segregation by class in Korean Cities.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.2
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• pp.707-712
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• 2013

In patients with acute myocardial infarction (AMI), the delay from symptom onset to hospital arrival has a critical effect on morbidity and mortality. This study examined to find out the determinants of the prehospital delay in patients with AMI. The study sample consisted of 597 patients hospitalized with AMI between Jan and Dec 2009. Demographic, medical history, and clinical data were abstracted from the hospital medical records of patients with confirmed AMI, the prehospital delay was categorized as less than or greater than 6 hours. Older age, low socioeconomic status(medical aid), and low use of Emergency medical system were associated with delays in seeking emergency care for Acute myocardial infarction. Education programs to improve patient knowledge of acute coronary syndrome symptoms and promote patient responsiveness with regard to seeking medical care should be used to reduce the prehospital delay time, especially in the low socioeconomic group.

• Journal of the Korea Convergence Society
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• v.8 no.9
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• pp.49-57
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• 2017

The purpose of this study was to investigate factors affecting perceived oral health status according to socioeconomic status and community periodontal index(CPI) and decayed, missing, and filled teeth(DMFT) using the 6th Korean national health and nutritional examination survey(KNHANES VI) and provide a basic data for plan of policy. The higher the age, the lower the household income and education level, the worse the subjective oral health had better oral health and there was a tendency that the respondents who had no oral exam within 1 year and experienced CPI or DMFT estimated their own health as worse. It is needed to make policy development to resolve the inequality of oral health.

• Journal of the Korean Society of Hazard Mitigation
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• v.10 no.6
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• pp.9-16
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• 2010

For improving social safety, It is important to build Web DB of criminal prevention and open to the public. It could be help to mitigate social damage of crimes and accidents. In this study, the main goal is to analyze and apply the applicable contents from user demands studies and case studies for a domestic life safety Web DB. For this study 31 cases of international life safety Web DB were collected and analyzed. Customer participation style of Web service was reviewed. And demand survey for crime weakness group like students, and young women was examined. As a results people needed to know the un-safety area in their usual life and their ways; school to home, work to home. While creating the Web DB for domestic life safety, user content according to different economic status and publicity for Web DB proved to be important factors.

• Journal of agricultural medicine and community health
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• v.36 no.1
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• pp.25-35
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• 2011

Objectives: This study aimed to compare depression and social support according to general characteristics and to investigate the influence of social support on depression. Methods: This study analyzed raw data from a project funded by Jeju Province. Data were collected through home visit interview with 750 households selected by using a randomized cluster sampling method. CES-D was used to measure depression, and the Medical Outcomes Study Social Support Survey was used to measure social support. The data of 1,155 subjects were analyzed using t-test, ANOVA, and regression. Results: The mean was 11.35 for depression and 75.53 for social support. Women showed a higher depression score and a lower social support score than men did. Older people; the divorced or the bereaved; and those in groups comprising people with lower education, lower social class, poor health, or high stress presented higher depression and lower social support. The result of stepwise regression showed that social support was one of the predictive variables of depression, and 22% of variance was explained by social support in this study. Conclusions: Social support was a powerful predictive variable of depression, and it was suggested that to prevent and manage depression, strategies that enhance social support should be developed and evaluated.

• Journal of Digital Convergence
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• v.15 no.2
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• pp.225-232
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• 2017

This study aimed to identify worker groups that are to accidents and to track the changes in their socioeconomic status there after. We analyzed the Korean Labor and Income Panel Study (KLIPS) database(2001-2006) were recorded according to the participant's economic activity status at the beginning of follow-up, and economic activity status was. During the follow-up period, the unemployed group experienced more accidents that resulted in disability than the economically active group. Interestingly, the unemployed group also had the highest industrial accident rate. Among the employed, daily and unpaid family workers were more vulnerable to disabilities. After the accidents, the participants tended to become economically inactive or unemployed. Compared to other worker groups, the economically inactive, unemployed, and daily and unpaid family workers experienced higher rates of accidents and faced graver conditions as a result. Although they constitute a significantly large part of society, these vulnerable workers are not currently covered by any social security measures, such as accident surveillance, training, and accident insurance. Social policy should therefore be directed toward protecting these vulnerable worker groups.

• The Journal of the Korea Contents Association
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• v.20 no.12
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• pp.659-670
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• 2020

This study analyzes the effects of companion animals on humans based on folk tales of righteous dogs in Hongseong. By targeting the theses and Hongseong righteous dog tales for this purpose, analyses of Ethnography and FGI(Focus Group Interview) were used among Qualitative Research Methods. According to research analysis, the impact of companion animals on humans was analyzed as emotional, economic, and cultural and environmental effects. In the case of emotional impact, the effect of companion animals on social sentiment is analyzed to have a positive effect in various classes, ranging from children and adolescents to the elderly and the socially vulnerable. On the economic aspect, SWOT analysis was attempted in connection with the rapid expansion of the companion animals industry, as represented by the Petconomy market, and analysis was attempted by focusing on cultural campaigns and tales that appeared in various cultural and environmental influences. The results of these studies suggest that this study is one that adds depth to the fact that it is the first attempt to analyze the culture and technology of companion animals, that it triggers the contribution of community development by analyzing the symbiotic relationship between companion animals and humans through the specific region, and that pets will have an emotional positive impact on human life in the era of the Fourth Industrial Revolution, when individualism will be maximized.