• The Journal of the Korea Contents Association
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• v.22 no.1
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• pp.611-619
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• 2022

This study utilized the data from 2017, 2019 Korean National Health and Nutrition Survey to analyze the factors influencing depression and suicidal ideation among single-person households. For the analysis, demographic and economic variables as well as health status/behavior variables were considered. Activity restriction (OR: 4.753, p-value: <.0001) and smoking status (OR: 2.013, p-value: 0.044) were significantly associated with depression, and in terms of suicidal ideation, household income (OR: 3.526, p-value: 0.043), subjective health status (OR: 2.945, p-value: 0.007), activity restriction (OR: 2.263, p-value: 0.003) and smoking status (OR: 2.000, p-value: 0.023) showed significant association. In this regard, single-person households are likely to experience psychological angst, and further experience mental problems due to socio-economic and physical crisis. Therefore, it is necessary to establish a social network system in the community to detect those in need and provide appropriate interventions to prevent harmful outcomes.

• Journal of The Korean Society of Agricultural Engineers
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• v.64 no.3
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• pp.63-73
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• 2022

A more accurate understanding of the irrigation water supply is necessary for efficient agricultural water management. Although we measure water levels in an irrigation canal using ultrasonic water level gauges, some errors occur due to malfunctions or the surrounding environment. This study aims to apply CNN (Convolutional Neural Network) Deep-learning-based image classification and segmentation models to the irrigation canal's CCTV (Closed-Circuit Television) images. The CCTV images were acquired from the irrigation canal of the agricultural reservoir in Cheorwon-gun, Gangwon-do. We used the ResNet-50 model for the image classification model and the U-Net model for the image segmentation model. Using the Natural Breaks algorithm, we divided water level data into 2, 4, and 8 groups for image classification models. The classification models of 2, 4, and 8 groups showed the accuracy of 1.000, 0.987, and 0.634, respectively. The image segmentation model showed a Dice score of 0.998 and predicted water levels showed R² of 0.97 and MAE (Mean Absolute Error) of 0.02 m. The image classification models can be applied to the automatic gate-controller at four divisions of water levels. Also, the image segmentation model results can be applied to the alternative measurement for ultrasonic water gauges. We expect that the results of this study can provide a more scientific and efficient approach for agricultural water management.

• Korean Journal of Organic Agriculture
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• v.30 no.2
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• pp.129-149
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• 2022

In March 2020, the National Assembly revised the Framework Act on Cooperatives, allowing a federation of heterogeneous cooperatives, and in October 2020, the Daegu Gyeongbuk Federation of Local Food Cooperatives was launched as the first federation of heterogeneous cooperatives in the country. The local food movement, which has been promoted upward in the local community as an alternative to the existing global food system, seems to be being activated by the government's food plan policy, but critics say that the government's policy goals are not fully achieved due to the top-down policy promotion and lack of communication. In response, this study first examines the role and significance of the local food federation of heterogeneous cooperatives in solving the problems raised in the process of establishing a food plan. In addition, the current status of the federation was investigated for the successful settlement and development of the Daegu Gyeongbuk Federation of Local Food Cooperatives. A survey of affiliated cooperatives, focus group interviews with managers and experts and related literature surveys were conducted. Based on this, the direction of activities was presented, such as the role of an intermediary in Daegu and Gyeongbuk and the role of an intermediary in the public and private sectors etc. In addition, six joint project tasks were specifically presented, including an integrated information sharing system & a logistics network, a planned production system & a joint processing center, an online sales system & a co-marketing promotion, a joint education system, a management of direct stores & restaurants, a sustainable public-private cooperation system etc.

• Journal of Korea Entertainment Industry Association
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• v.14 no.8
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• pp.277-285
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• 2020

The purpose of this study is to provide basic data for reducing aging anxiety and for effective prevention and management of dementia by identifying the effects of perception and attitude toward dementia on aging anxiety. The subjects of this study were 509 citizens living in J city, Chungbuk. Multiple regression analysis was conducted to examine the effects of dementia awareness and attitude on aging anxiety. The results of this study showed that the factors affecting the aging anxiety were significantly affected by the dementia awareness, which means that the lower the dementia awareness, the higher the aging anxiety. However, the attitude toward dementia did not have a significant effect on the anxiety about aging. Based on the results of this study, policy suggestions are as follows: First, systematic education and education programs for the promotion of dementia awareness are needed. Second, promotion for the improvement of dementia awareness is needed. Third, it is necessary to establish a community network to improve the awareness of dementia.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.1-10
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• 2021

This paper aimed to look at the awareness of foreign workers in social platforms by using text mining, one of the big data techniques and draw suggestions for foreign workers. To achieve this purpose, data collection was conducted with search keyword 'Foreign Worker' from Jan. 1, to Dec. 31, 2020, and frequency analysis, TF-IDF analysis, and degree centrality analysis and 100 parent keywords were drawn for comparison. Furthermore, Ucinet6.0 and Netdraw were used to analyze semantic networks, and through CONCOR analysis, data were clustered into the following eight groups: foreigner policy issue, regional community issue, business owner's perspective issue, employment issue, working environment issue, legal issue, immigration issue, and human rights issue. Based on such analyzed results, it identified national awareness of foreign workers and main issues and provided the basic data on policy proposals for foreign workers and related researches.

• The Journal of the Korea Contents Association
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• v.22 no.2
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• pp.44-57
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• 2022

Fablab is a global network of digital fabrication facilities. Fablab is a digital workshop for individual manufacturing. In addition, Fablab is a next-generation digital infrastructure that connects education, training, R&D and production. The Fablab is a facility lab that makes the products you want, and it is a space where users-led products or services are discovered for the community. Furthermore, through various citizen-led projects, it is playing the role of innovation that changes the region and society. In this study, we examine the operating conditions of Fablabs in Korea and Japan (Fablab Seoul, Fablab Busan, Fablab Kamakura and Fablab Kitakagaya). It also explores the business model and sustainable development potential of each fablab. To this end, first, we compare and analyze the use of fablabs in both countries. Second, the purpose of the fablabs of both countries is analyzed. Third, we analyze the business models that the fablabs of both countries are taking for sustainable development through Lean Canvas. Based on the results obtained through case analysis of both countries, we make suggestions for the development of fablabs in Korea.

• Korean Journal of Ecology and Environment
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• v.55 no.4
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• pp.259-273
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• 2022

Interactions between species in a community are very complex, and they are visualized and analyzed through a food web in simple way. Food web is a network of species connected by trophic links showing energy flow from prey to predator. Various models were developed to characterize the food web in ecosystems. In this study, we classified food web models to static models such as Ecopath and dynamic models such as AQUATOX. We presented characteristics of several different types of food web models in each category, and reviewed their applications used in aquatic ecosystems. Finally, we presented issues to be considered to develop food web models.

• The Journal of Korean Academic Society of Nursing Education
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• v.28 no.4
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• pp.444-455
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• 2022

Purpose: This study explored the meaning of the social perceptions of nurses in online news articles during the coronavirus disease 2019 (COVID-19) pandemic. Methods: A total of 339 nurse-related articles published in Korean online newspapers from January 1 to December 31, 2020, were extracted by entering various combinations of OR and AND with the four words "Corona," "COVID," "Nursing," and "Nurse" as search keywords using BIGKinds, a news database provided by the Korea Press Foundation. The collected data were analyzed with a keyword network analysis and topic modeling using NetMiner 4. Results: The top keywords extracted from the nurse-related news articles were, in the following order, "metropolitan area," "protective clothing," "government," "task," and "admission." Four topics representing keywords were identified: "encouragement for dedicated nurses," "poor work environment," "front-line nurses working with obligation during the COVID-19 pandemic," and "nurses' efforts to prevent the spread of COVID-19." Conclusion: The media's attention to the dedication of nurses, the shortage of nursing resources, and the need for government support is encouraging in that it forms the public opinion necessary to lead to substantial improvements in treating nurses. The nursing community should actively promote policy proposals to improve treatment toward nurses by utilizing the net function of the media and proactively seek and apply strategies to improve the image of nurses working in various fields.

• Korean Journal of Social Welfare Studies
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• v.40 no.2
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• pp.89-122
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• 2009

This study was carried out to analyze the job of care managers in their social welfare practicing fields about the frequency of care management duties they perform, types of duties considered to be most important and the reason, and types of jobs counted to be the most difficult and the reason by qualitative case study research methods. The job area of care management was elicited using DACUM method, and those 9 job areas derived from it were analysed according to frequency of performance, importance and difficulty. The subjects were 10 social workers serving more than 3 years with major duty of care management and chosen by reputational-case selection, and those collected data analysis was operated according to embedded analysis types. We discussed the implication of this research. : The experience of participants are the process of maintaining the tension, and search the equilibrium point between client centered service and institutional pressure. According to the results we proposed ① Construction of community based social work network, ② Institutional installation for guarantee care manager's Job competence ③ Standard manual for equilibrium and upward equalization

• Women's Health Nursing
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• v.28 no.4
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• pp.329-337
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• 2022

Purpose: The purpose of this study was to investigate the influence of eHealth literacy, reproductive health knowledge, and self-esteem on early adult women's health-promoting behaviors (HPB). This study was based on Pender's health promotion model as a theoretical underpinning. Methods: Early adult women aged 18 to 35 years (n=165) were recruited by posting advertisements on social network sites for a student club and a faith-based community in Ansan, Korea. Willing individuals were invited to participate in the online survey from June 1 to June 30, 2022. Standardized instruments were used to measure HPB, eHealth literacy, reproductive health knowledge, and self-esteem. General characteristics included income level, perceived subjective health, and internet usage time. The collected data were analyzed using the independent t-test, one-way analysis of variance, Pearson correlation coefficients, and multiple regression. Results: The mean age of the respondents was 21.97±3.87 years. The total HPB score was 120.69, corresponding to a moderate level; and the total scores for eHealth literacy (30.24), knowledge of reproductive health (23.04), and self-esteem (35.62) were higher than the midpoint. The model explained 53.3% of variance in HPB, and self-esteem (β=.48, p<.001) was the most influential factor. Other influential factors were, in descending order, higher economic level, higher subjective health status, greater eHealth literacy, and less internet use time (<2 hours/day). Conclusion: In order to promote the health of early adult women, counseling or programs that positively improve self-esteem appear promising, and eHealth literacy should be considered as a way to promote HPB using information technology.