• Korean Journal of Environmental Biology
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• v.36 no.3
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• pp.370-376
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• 2018

It is important to consider interaction between species in understanding structure and function of the biological community. Current ecological issues such as climate change and habitat loss emphasize the significance of the concept of species interaction in that varying species' interaction across environmental gradients may lead to altered ecological function and services. However, most community studies have focused on species diversity through analysis of quantitative indices based on species composition and abundance data without considering species interactions in the community. 'Ecological network analysis' based on network theory enables exploration of structural and functional properties of ecosystems composed of various species and their interactions. In this paper, network analysis of Cheonggye stream as a case study was presented to promote uses of network analysis on ecological studies in Korea. Cheonggye stream has a simple biological structure with link density of 1.48, connectance 0.07, generality 4.43, and vulnerability 1.94. The ecological network analysis can be used to provide ecological interpretations of domestic long-term monitoring data and can contribute to conserving and managing species diversity in ecosystems.

• Journal of Wellbeing Management and Applied Psychology
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• v.4 no.2
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• pp.14-18
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• 2021

Purpose: The purpose of this study was to identify the factors that enhance brand identity among the four relationship factors in the well-being industry: brand relationships, product relationships, employee relationships, and other customer relationships, and to examine the impact between consumers' brand identity and committed behaviors performed by consumers of brand equality, promotion, cooperation, and advocacy. Research design, data and methodology: The models designed in this study were proposed based on prior studies and the survey was conducted on well-being consumers for empirical testing of the models. Valid samples of a total of 350 data collected were analyzed using the SAS 9.4 statistical package programs, and the results for the structural equation model analysis are as follows. Results: First, the three relationships in the brand community have all been shown to improve brand identity, but the product relationship has had a negative significant effect. Second, consumers' brand identity has had a strong effect of promoting both committed behavior, cooperation and advocacy. Conclusions: Based on these analysis results, the theoretical implications of the well-being industry were presented, and effective practical implications were presented to the well-being operators and the community operators of well-being brands.

• Research in Community and Public Health Nursing
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• v.33 no.2
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• pp.153-163
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• 2022

Purpose: A care coordinator is an emerging nursing professional role in South Korea. The purpose of this study was to identify educational needs and priorities for care coordinators among nurses. Methods: An online survey was conducted on 661 current or retired nurses from January 30 to February 28, 2021. A total of 17 essential competencies for care coordinators, recognized based on literature review, were used to analyze the educational needs. The data were analyzed using descriptive statistics, a paired t-test, and one-way analysis of variance with SPSS 25.0. The educational needs analysis was conducted by using a paired t-test, the Borich Needs Assessment Model, and the Locus for Focus Model. Results: Five contents were identified as the first priorities for educational needs: 'Health program planning and evaluation', 'Care planning', 'Coordinating community-based services', 'Case management', and 'Transitional care'. The second priorities for educational needs included 'Population health management' and 'Welfare resource linkages via communicating with social workers'. Conclusion: The priority items derived from this study offer underpinning insights for the development of care coordination training program.

• Physical Therapy Rehabilitation Science
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• v.12 no.1
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• pp.72-79
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• 2023

Objective: Despite known associations between negative body image and health declines in chronic pain patients, few studies have examined longitudinal associations between psychological stress and perceived hand deformities. This study examined whether psychological distress was associated with hand deformities 4 years later and if rural and urban adults differed in the association. Design: A community-based cohort study. Methods: Community dwelling adults (mean age=51.97, 52.3% women) in a rural (n=2968) and urban area (n=2784) provided demographic data at baseline and, in the 4-year follow-up, responded to questionnaires about psychological distress. Perceived hand deformities were assessed at the 8-year follow-up. Linear regression was conducted to examine the effects of psychological distress on hand deformities and moderation by residential areas. Results: The perceived hand deformities were more likely among those with severe psychological stress, hand osteoarthritis, or any chronic disease condition (p<0.01) but less likely among those with younger age, higher education, or income (p<0.01). The regression results showed that psychological distress predicted more perceived hand deformities 4 years later even after adjusting for demographic and health covariates (p<0.01). The residential areas did not significantly moderate the association between distress and hand deformities. Conclusions: This study suggected that psychological distress may trigger later perception of hand deformities in both urband and rural adults. The findings indicate that stress management interventions that are customizable to regional contexts may be effective at preventing negative body image related health problems of community-dewelling adults.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.514-516
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• 2022

Busan Metropolitan City runs Community Health Center which aims to health care service based on the community, besides the established health medical service towards people with low-income. 71 centers are run in 2021, therefore, this papear explores the way of digital transition of these centers. Digital Technologies possibly adopted inside the centers are: First, smart devices to advance the management system of chronical diseases based on health index; Second, IoT with mobile tech to manage health index; Third, AI Robot to care lone elderly people and to warn the emergency.

• Journal of Internet Computing and Services
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• v.24 no.6
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• pp.1-11
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• 2023

Federated learning (FL) is a ground breaking machine learning paradigm that allow smultiple participants to collaboratively train models in a cloud environment, all while maintaining the privacy of their raw data. This approach is in valuable in applications involving sensitive or geographically distributed data. However, one of the challenges in FL is dealing with heterogeneous and non-independent and identically distributed (non-IID) data across participants, which can result in suboptimal model performance compared to traditionalmachine learning methods. To tackle this, we introduce FedGCD, a novel FL algorithm that employs Graph Neural Network (GNN)-based community detection to enhance model convergence in federated settings. In our experiments, FedGCD consistently outperformed existing FL algorithms in various scenarios: for instance, in a non-IID environment, it achieved an accuracy of 0.9113, a precision of 0.8798,and an F1-Score of 0.8972. In a semi-IID setting, it demonstrated the highest accuracy at 0.9315 and an impressive F1-Score of 0.9312. We also introduce a new metric, nonIIDness, to quantitatively measure the degree of data heterogeneity. Our results indicate that FedGCD not only addresses the challenges of data heterogeneity and non-IIDness but also sets new benchmarks for FL algorithms. The community detection approach adopted in FedGCD has broader implications, suggesting that it could be adapted for other distributed machine learning scenarios, thereby improving model performance and convergence across a range of applications.

• International Journal of Knowledge Content Development & Technology
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• v.14 no.1
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• pp.111-136
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• 2024

In this study, we collaborated with the National Library of Korea's Library Education Institute to pilot the operation of a librarian learning community and aimed to measure its effectiveness based on the improvement of librarian competencies. A total of 28 participants attended four programs, and the research results are as follows: First, when analyzing competencies in terms of community capacity, attitude competency was the highest, followed by knowledge and skills competencies in that order. The correlation analysis among competencies showed that there were mutual correlations among the three competencies. Second, in the pre-post analysis of the three competencies and their sub-competencies, it was found that all competencies, including sub-competencies, improved. Based on the research results, it was confirmed that through the operation of the librarian learning community, the average competencies of librarians can be improved, which can directly impact the enhancement of the library's service capabilities. Therefore, it is believed that there is a need to activate the operation of librarian learning communities and explore nationwide dissemination strategies for the operating model.

• 한국노년학
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• v.41 no.2
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• pp.271-284
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• 2021

This study was conducted to derive factors that affect the satisfaction of home visiting health care services and to develop effective community care models by using the results of Seoul's outreach service which is the basis for Korean community care. The population of the study was the elderly aged 65 and 70 who participated in the Seoul's outreach community services 3rd stage (July 2017 - June 2018) and 4th stage (July 2018 to June 2019). 2,200 people were extracted by the proportional allocation method and home visit interviews were conducted on them. Subjects were divided into sub-groups based on chronic disease prevalence, and logistic regression was conducted to derive factors that affect the satisfaction of home visiting health care services. The results demonstrated that the elderly without chronic diseases were more satisfied when they received health education and counseling services, the elderly with one chronic disease were more satisfied when they received Community resource-linked services. In the case of elderly people with two or more chronic diseases, the service satisfaction level is increased when health condition assessment and Community resource-linked services are provided. Regardless of whether or not they have chronic diseases, service delivery time was a factor that increased satisfaction in home visiting health care. And the degree of explanation understanding was a factor that increased satisfaction for both single and complex chronic patients. Home Visiting health care services based on the community is a key component of the ongoing community care. In order to increase the sustainability and effectiveness of community care in the future, Community-oriented health care services based on the degree of chronic diseases of the elderly should be provided. In order to provide more effective services, however, it is necessary (1) to establish a linkage system to share health information of the subject held by the National Health Insurance Service to local governments and (2) to provide capacity-building education for visiting nurses to improve the quality of home visiting health care services. It is hoped that this study will be us ed as bas ic data for the successful settlement of community care.

• Journal of Digital Convergence
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• v.18 no.5
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• pp.347-356
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• 2020

The purpose of this study was to identify the intention to use of virtual reality-based cognitive training system for the elderly residing in community based on extended technology acceptance model. The data were collected 100 elderly residing in community from January 2 to January 31, 2020. As a result, the influence the intent to use a virtual reality-based cognitive training system for the elderly is social influence, perceived usefulness, perceived enjoyment, age. The explaining 54.4% of the variance, it is considered that technology development these factors will be necessary for elderly in the community to promote the intent to use of virtual reality-based cognitive training systems. This study is meaningful in that it has identified the degree of intent to use and influencing factors of virtual reality devices for the elderly in the community. This study could be used as basic data for the development of technologies for virtual reality-based cognitive training systems in the future.

• Journal of Intelligence and Information Systems
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• v.16 no.4
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• pp.85-97
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• 2010

Internet communities are a typical space for knowledge creation and use on the Internet as people discuss their common interests within the internet communities. When we define 'Knowledge Communities' as internet communities that are related to knowledge creation and use, they are categorized into 4 different types such as 'Search Engine,' 'Open Communities,' 'Specialty Communities,' and 'Activity Communities.' Each type of knowledge community does not remain the same, for example. Rather, it changes with time and is also affected by the external business environment. Therefore, it is critical to develop processes for practical use of such changeable knowledge communities. Yet there is little research regarding a strategic framework for knowledge communities as a source of knowledge creation and use. The purposes of this study are (1) to find factors that can affect knowledge creation and use for each type of knowledge community and (2) to develop a strategic framework for practical use of the knowledge communities. Based on previous research, we found 7 factors that have considerable impacts on knowledge creation and use. They were 'Fitness,' 'Reliability,' 'Systemicity,' 'Richness,' 'Similarity,' 'Feedback,' and 'Understanding.' We created 30 different questions from each type of knowledge community. The questions included common sense, IT, business and hobbies, and were uniformly selected from various knowledge communities. Instead of using survey, we used these questions to ask users of the 4 representative web sites such as Google from Search Engine, NAVER Knowledge iN from Open Communities, SLRClub from Specialty Communities, and Wikipedia from Activity Communities. These 4 representative web sites were selected based on popularity (i.e., the 4 most popular sites in Korea). They were also among the 4 most frequently mentioned sitesin previous research. The answers of the 30 knowledge questions were collected and evaluated by the 11 IT experts who have been working for IT companies more than 3 years. When evaluating, the 11 experts used the above 7 knowledge factors as criteria. Using a stepwise linear regression for the evaluation of the 7 knowledge factors, we found that each factors affects differently knowledge creation and use for each type of knowledge community. The results of the stepwise linear regression analysis showed the relationship between 'Understanding' and other knowledge factors. The relationship was different regarding the type of knowledge community. The results indicated that 'Understanding' was significantly related to 'Reliability' at 'Search Engine type', to 'Fitness' at 'Open Community type', to 'Reliability' and 'Similarity' at 'Specialty Community type', and to 'Richness' and 'Similarity' at 'Activity Community type'. A strategic framework was created from the results of this study and such framework can be useful for knowledge communities that are not stable with time. For the success of knowledge community, the results of this study suggest that it is essential to ensure there are factors that can influence knowledge communities. It is also vital to reinforce each factor has its unique influence on related knowledge community. Thus, these changeable knowledge communities should be transformed into an adequate type with proper business strategies and objectives. They also should be progressed into a type that covers varioustypes of knowledge communities. For example, DCInside started from a small specialty community focusing on digital camera hardware and camerawork and then was transformed to an open community focusing on social issues through well-known photo galleries. NAVER started from a typical search engine and now covers an open community and a special community through additional web services such as NAVER knowledge iN, NAVER Cafe, and NAVER Blog. NAVER is currently competing withan activity community such as Wikipedia through the NAVER encyclopedia that provides similar services with NAVER encyclopedia's users as Wikipedia does. Finally, the results of this study provide meaningfully practical guidance for practitioners in that which type of knowledge community is most appropriate to the fluctuated business environment as knowledge community itself evolves with time.