• 치위생과학회지
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• 제20권2호
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• pp.67-73
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• 2020

Background: Owing to the increase in the aging population, the health problems of the elderly have become important social problems. Social support has a positive effect on improving the quality of life and prolonging the life of elderly people. It is one of the major factors that affects the oral health status of elderly people. The purpose of this study was to examine the relationship between oral health status and social support in elderly people using representative data. Methods: In this study, data from a community health survey in 2015 involving 63,929 elderly people aged over 65 years were analyzed. T-test and ANOVA analyses were performed to compare the general characteristics of and perception about social support. Additionally, a linear regression analysis was performed to confirm the relationship between perceptions about social support and subjective oral health status. Results: We found that sex, age, household income, education level, the presence of a spouse, existence of an unmet dental need, and regular oral check-up had a significant effect on subjective oral health status (p<0.05). In addition, when controlled for all factors, social support has a significant impact on subjective oral health status. Conclusion: The findings indicate that social support is associated with the subjective oral health status of Korean elderly. This suggests that community-level or government investment is required to improve the oral health of the elderly. In particular, policy interventions such as the establishment of facilities that promote social networks, especially facilities based on friendship networks, are needed.

• International journal of advanced smart convergence
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• 제4권2호
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• pp.109-119
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• 2015

The interaction between wireless sensors such as Internet of Things (IoT) and Cloud is a new paradigm of communication virtualization to overcome resource and efficiency restriction. Cloud computing provides unlimited platform, resources, services and also covers almost every area of computing. On the other hand, Wireless Sensor Networks (WSN) has gained attention for their potential supports and attractive solutions such as IoT, environment monitoring, healthcare, military, critical infrastructure monitoring, home and industrial automation, transportation, business, etc. Besides, our virtual groups and social networks are in main role of information sharing. However, this sensor network lacks resource, storage capacity and computational power along with extensibility, fault-tolerance, reliability and openness. These data are not available to community groups or cloud environment for general purpose research or utilization yet. If we reduce the gap between real and virtual world by adding this WSN driven data to cloud environment and virtual communities, then it can gain a remarkable attention from all over, along with giving us the benefit in various sectors. We have proposed a Pub/Sub-based sensor virtualization framework Cloud environment. This integration provides resource, service, and storage with sensor driven data to the community. We have virtualized physical sensors as virtual sensors on cloud computing, while this middleware and virtual sensors are provisioned automatically to end users whenever they required. Our architecture provides service to end users without being concerned about its implementation details. Furthermore, we have proposed an efficient content-based event matching algorithm to analyze subscriptions and to publish proper contents in a cost-effective manner. We have evaluated our algorithm which shows better performance while comparing to that of previously proposed algorithms.

• 농업과학연구
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• 제46권1호
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• pp.67-78
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• 2019

The purpose of this study was to predict the water quality using the RNN (recurrent neutral network) and LSTM (long short-term memory). These are advanced forms of machine learning algorithms that are better suited for time series learning compared to artificial neural networks; however, they have not been investigated before for water quality prediction. Three water quality indexes, the BOD (biochemical oxygen demand), COD (chemical oxygen demand), and SS (suspended solids) are predicted by the RNN and LSTM. TensorFlow, an open source library developed by Google, was used to implement the machine learning algorithm. The Okcheon observation point in the Geum River basin in the Republic of Korea was selected as the target point for the prediction of the water quality. Ten years of daily observed meteorological (daily temperature and daily wind speed) and hydrological (water level and flow discharge) data were used as the inputs, and irregularly observed water quality (BOD, COD, and SS) data were used as the learning materials. The irregularly observed water quality data were converted into daily data with the linear interpolation method. The water quality after one day was predicted by the machine learning algorithm, and it was found that a water quality prediction is possible with high accuracy compared to existing physical modeling results in the prediction of the BOD, COD, and SS, which are very non-linear. The sequence length and iteration were changed to compare the performances of the algorithms.

• 디지털콘텐츠학회 논문지
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• 제14권1호
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• pp.41-50
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• 2013

소셜 네트워크 분석은 1개의 연결을 가지는 n개의 노드를 대상으로 한다. 노드 수 n이 수십 또는 수백 정도의 소셜 네트워크를 분석할 때는 전체 데이터를 대상으로 분석이 가능하지만, 그 이상이 되면 육안으로 분석하기는 어렵다. 따라서 전체 소셜 네트워크를 분리할 필요가 있는데 이 때 사용할 수 있는 방법이 군집화이다. 군집화를 통해 전체 노드를 하위 그룹으로 구성하면, 소셜 네트워크의 특징 분석이나 노드간의 관계 분석을 쉽게 수행할 수 있게 된다. 군집화 기법은 하위 그룹의 개수를 미리 설정해야 하기 때문에 사용자와의 상호 작용이 필요하고, 이렇게 생성된 하위 그룹이 최적의 결과라는 것을 보증할 수 없다. 본 논문에서는 외부 커뮤니티 연관도를 활용한 동적인 하위 그룹 생성 방법을 제안한다. 발견된 하위 그룹의 개수와 하위 그룹 순도를 기준으로 기존의 연구들과 비교하였고, 실험 결과 제안하는 방법의 우수성을 확인할 수 있었다.

• 지역사회간호학회지
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• 제31권1호
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• pp.13-23
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• 2020

Purpose: This study explored the contribution of social support resources to the explanation of socioeconomic inequalities in depressive symptoms of older Korean men and women. Methods: Data were derived from Living Profiles of Older People Survey (LPOPS), which comprises a nationally representative sample of non-institutionalized Korean older adults living in the community. The data were analyzed by using multiple logistic regression. The sample consisted of 4,046 men and 6,036 women aged ≥65 years. The Korean version of the Geriatric Depression Scale-Short form (SGDS-K) was employed as an outcome variable. Results: Compared to the older men and women who were in higher socioeconomic status, those in lower socioeconomic status had significantly higher risk of depressive symptoms after adjusting for other covariates. When social support resources were individually included in the base model, each factor contributed to inequalities in depressive symptoms. Social networks explained about 20% of the differential impact of education and 10% to 15% of the differential impact of household income for depressive symptoms in men. Among women, it mitigated 23.6% to 39.0% of education and household income inequalities for depressive symptoms. Social participation contributed to buffer depressive symptom inequalities of 24.0% to 46.3% among men and those of 11.7% to 45.3% among women. Conclusion: Our findings suggest community care nurses acknowledge the value of social support resources to alleviate socioeconomic inequality in depressive symptoms among older men and women.

• 한국콘텐츠학회논문지
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• 제9권5호
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• pp.249-256
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• 2009

본 연구는 2007년 12원 7일 태안지역에서 갑자기 발생한 허베이 스피리트호 기름유출사고로 인한 재난 지역의 공동체 파괴와 재난취약성에 대한 극복 방안으로서의 재난에 강한 지역공동체 형성 전략 방안을 제시하는데 연구목적이 있다. 이러한 연구목적을 달성하기 위하여 본 연구에서는 지역맥락 접근, 거버넌스 전략, 지역사회 중심 접근 측면에서의 문제점을 도출하고 이를 바탕으로 재난에 강한 지역공동체 형성 전략 방안을 제시하였다. 분석결과 첫째, 스피리트호 기름유출사고 시 재난지역에 대한 지역연구의 부족과 지역안전관리계획의 비현실성 등이 문제점으로 지적되었고, 이를 극복하기 위하여 향후 지역연구의 활성화와 지역안전관리계획의 상향식 접근의 필요성 등을 제시하였다. 둘째, 자원봉사의 활성화가 이루어지는 계기가 마련되었지만, 여전히 거버넌스에 기반 한 효율적 재난관리의 문제점이 있었고 이를 극복하기 위한 방안으로 정부-기업-민간 부문의 상호 협력과 협조를 핵심으로 하는 네트워크 거버넌스를 구축하여 야 할 것이다. 셋째, 지역사회 중심의 재난에 강한 공동체를 형성하는데 있어서 사회적 네트워크와 사회적 관계를 의미하는 사회적 자본의 형성이 무엇보다 중요하다.

• Ocean and Polar Research
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• 제25권3호
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• pp.237-247
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• 2003

The temporal dynamics of the meiofauna community in Marian Cove, King George Island were observed from January 22 to October 29 1996. Generally, 14 taxa of metazoan meiofauna were found. Nematodes were dominant comprising 90.12% of the community, harpacticoid 6.55%, and Kinorhynchs 1.54%. Meiofauna abundance increased monthly from January to May 1996, while varying in abundance after August 1996. Overall mean abundance of metazoan meiofauna was $2634ind./10cm^2$ during the study periods, which is about as high as that found in temperate regions. Nematodes were most abundant representing $2399ind./10cm^2$. Mean abundance of harpacticoids, including copepodite and nauplius was $131ind./10cm^2$ by kinorhynchs $(26ind./10cm^2)$. The overall abundance of other identified organisms was $31ind./10cm^2$ Other organisms consisted of a total of 11 taxa including Ostracoda $(6ind./10cm^2)$, Polycheata $(7ind./10cm^2)$, Oligochaeta $(8ind./10cm^2)$, and Bivalvia $(6ind./10cm^2)$. Additionally, protozoan Foraminifera occurred at the study area with a mean abundance of $263ind./10cm^2$. Foraminiferans were second in dominance to nematodes. The dominant taxa such as nematodes, harpacticoids, kinorhynchs and the other tua were trained and extensively scattered in the map through the Kohonen network. The temporal pattern of the community composition was most affected by the abundance dynamics of kinorhynchs and harpacticoids. The neural network model also allowed for simulation of data that was missing during two months of inclement weather. The lowest meiofauna abundance was found in August 1996 during winter. The seasonal changes were likely caused by temperature and salinity changes as a result of meltwater runoff, and the physical impact by passing icebergs.

• 농촌계획
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• 제21권1호
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• pp.77-87
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• 2015

In this study, we try to quantify resident's conflict by rural development project based on previous researches about community capacities required for residents and social networks in rural village for suggesting efficient project model. we analyzed conflict elements in six category such as 'conflict in residents', 'conflict in residents and leaders', 'conflict in leaders', 'conflict in villages', 'conflict in development fund', 'conflict in village by common income project'. These results also analyzed by personal background(age, role, education, income) of respondent in questionary survey. Results show that 'conflict in residents and leaders', 'conflict in leaders', 'conflict in development fund' are perceived differently by age, role, education, and income in 5% significance level. Especially, relatively young age(below 40 years old) expressed clearly about conflict and high scored in item of 'residents and leaders'. Regression model show statistical significance(F=39.807, P=0.000) in influence relation analysis of conflict, network, leadership, and project fund. In this model, network ${\beta}=-0.237$, leadership ${\beta}=-0.375$, project fund ${\beta}=-0.000$ show network and leadership have negative relation to conflict but project fund is difficult to find relation with conflict. In this study, we defined social vulnerability using conflict, network, and leadership and verified the vulnerability of rural village applying regional community capacity in analysis results; vulnerability increased by the size of region and show inverse correlation to future vision of residents.

• 한국산학기술학회논문지
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• 제17권1호
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• pp.199-208
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• 2016

본 연구는 일본의 재해복지 동향과 실천경험을 특히 지역사회의 대응이란 관점에서 검토한 것이다. 본 연구는 다음과 같이 일본의 재해복지 경험과 과제를 정리하였다. 첫째, 지원 네트워크 구축과 연계로 재해시 행정과의 연계, 사회복지기관 간의 연계, 주민과의 연계는 정확한 상황과 욕구의 파악, 자원개발 등에 필수적이다. 특히 초기 개입을 위한 DWAT의 구성이 제기되었다. 둘째, 맨파워 문제로 유사시를 대비한 인력파견의 체제가 마련되어야 한다는 것과 광역지원의 필요성이 제기되었다. 셋째, 재해시 심리치료적인 개입은 필요도에서 전문직 간의 합의율이 낮았다. 넷째, 재해복지 실천과정에서 프라이버시 보호가 재해지원과 양립될 수 있도록 가이드라인을 만들 필요가 있다.

• 한국학교ㆍ지역보건교육학회지
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• 제18권3호
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• pp.1-15
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• 2017

Objectives: About for twenty years, immigrant women in South Korea have steadily increased due to economic growth and industrialization. According to previous studies in terms of immigrants, subjective socio-economic status(SES) as well as objective SES such as income, occupation and level of education predict health outcomes. The purpose of this study was to examine association between subjective social status and perceived health among immigrant women. Methods: We analyzed 12,531 participants from the 2012 National Survey of Multicultural Families. Study variables included subjective SES in Korea, subjective SES in community and perceived health. Control variables were age, household income, employment, education, marital status, ethnicity, language proficiency. For this study, descriptive analysis, Chi-square test, and multivariate logistic regression analysis were performed. Results: Among immigrant women, after adjusting for control variables, level of education in community was not associated with perceived health. Otherwise, subjective social status in Korea(low subjective social status reference group vs high subjective status : OR 2.056) was associated with perceived health. Conclusions: Immigrant women in Korea would be culturally affected by inherent characteristic rather than social economic status. Through this study, in order to improve health inequality among immigrant women, we should consider developing social supports and networks.