• Journal of the Korea Society for Simulation
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• v.30 no.2
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• pp.41-48
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• 2021

As the rural population continues to decline and aging, the improvement of agricultural productivity is becoming more important. Early prediction of crop quality can play an important role in improving agricultural productivity and profitability. Although many researches have been conducted recently to classify diseases and predict crop yield using CNN based deep learning and transfer learning technology, there are few studies which predict postharvest crop quality early in the planting stage. In this study, a early quality prediction model is proposed for sprout ginseng, which is drawing attention as a healthy functional foods. For this end, we took pictures of ginseng seedlings in the planting stage and cultivated them through hydroponic cultivation. After harvest, quality data were labeled by classifying the quality of ginseng sprout. With this data, we build early quality prediction models using several pre-trained CNN models through transfer learning technology. And we compare the prediction performance such as learning period and accuracy between each model. The results show more than 80% prediction accuracy in all proposed models, especially ResNet152V2 based model shows the highest accuracy. Through this study, it is expected that it will be able to contribute to production and profitability by automating the existing seedling screening works, which primarily rely on manpower.

• The Journal of the Korea Contents Association
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• v.22 no.1
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• pp.240-249
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• 2022

With the tourism industry stagnating due to the recent COVID-19 virus issue, the importance of preparing a plan to resume and revitalize the tourism industry after the end of the COVID-19 is being emphasized. In particular, this researcher paid attention to the development of the horse industry as it can contribute to the differentiation of services as it is an experience-oriented tourism, and it can be said to be a field with a high potential for sustainable development in the future. However, in the domestic horse industry, legal problems related to installation, industrial structural problems organized around horse racing, and demand-based problems were scattered. Therefore, this researcher suggested a way to improve these problems, improve the quality of life of the people, and lead the horse industry to increase the income of rural residents. As a representative example, a legal improvement plan for the expansion and growth of equestrian facilities was presented, and a strategic incubating infrastructure construction plan was presented to support horse industry workers to nurture the horse industry as the 6th industry on their own. This movement will lead to qualitative growth through the conversion of the horse industry into local cultural contents, and not only to expand the base of public demand for the horse industry, but also to maximize the creation of added value through diversification of the horse industry, leading to qualitative growth of the horse industry.

• Journal of Korean Society of Forest Science
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• v.112 no.2
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• pp.248-257
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• 2023

Because of various societal changes, such as the recent improvement in income levels and extension of the flexible work system, the demand for forest recreation activities and their use patterns are undergoing a change. Accordingly, it is necessary to identify the characteristics of each type through the segmentation of the overall forest recreation and welfare markets and to plan differentiated policies for each market type. This study classifies the forest recreation and welfare activities according to four types of users (i.e., passive usage type, ordinary type, active lover type, and indifferent type) using the Latent Class Analysis and examines their demographic and socioeconomic characteristics to explain the differences between the groups. Three policy implications were derived from the results obtained: 1) the group experiencing forest recreation welfare is subdivided; 2) the socioeconomic characteristics that distinguish the groups undertaking forest recreation activities were identified; and 3) the policy targets and characteristics that can increase the experience of forest recreation welfare were identified. This study is insightful as it suggests differentiated policies for each group and proposes policy measures to move to the desirable group.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.6 no.9
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• pp.221-234
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• 2016

In order to revitalize the regional economy and culture, understanding what cultural resources are about is of prime importance. When considering cultural resources, one ought to appreciate that developing content industries can contribute to the development of the regional economy and the sustainability of the country. Recently, vast amounts of aid and financial resources have been earmarked for the development of the national cultural industries. Each region of our country has enhanced its autonomy in terms of decision-making, thus increasing the resort to cultural and natural resources. However, when industrializing and excavating hidden cultural resources, vitality should be breathed into regional and national economies. Moreover, as an issue of national importance, this could held resolving pressing matters such as the creation of added-value jobs, the merger of industries, basic architecture, societal problems and the revitalization of rural communities, to name but a few. Therefore, so as to develop regions through the revitalization of regional economies and the improvement of infrastructures, it is necessary to encourage cultural industries and the excavation of cultural resources. The present research suggests to upgrade the values of regional and cultural resources so as to revitalize cultural regional resources through concrete policies. This basically implies carrying out a program which aims at diffusing cultural values by resorting to cultural resources as tools of revitalization. Finally, the importance of cultural resources must be reflected in a diversified spectrum of policies aimed at bringing values out of cultural resources. Yet, thorough researches on proposals for a better use of regional resources are still much needed.

• 한국노년학
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• v.29 no.3
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• pp.917-933
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• 2009

This study examined the factors affecting forms of long-term care service use by elderly and the forms of use are classified facility care service, home care service, and unused. It is used data from the 2nd pilot program for the Long Term Care Insurance scheme and it is analysed 5,497 cases. Multi-nominal regression is used. According to the results, women use formal service more than man do, and wowen use facility care than home care. Those who eligible for National Basic Livelihood Security System(NBLSS) are shown to have higher use of formal care(especially facility care) than the middle income class, and the low income class than the middle income class has lower use of formal care. In addition, higher the family care is available, lower the taking part in the service. The big cities and mid sized cities than rural are used the formal service and moreover mid sized cities are used facility care than home care. Furthermore, the level of care need is determinants of service use and function of ADL, IADL, and abnormal behavior is also determinants of formal service(especially facility care). But nursing need and rehabilitation need are not determinants of formal service use. Based on the results, the recommendations are developed and implemented for the improvement the elderly long-term care insurance.

• Journal of the Korean Geotechnical Society
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• v.39 no.11
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• pp.7-22
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• 2023

In January 2022, a new legislation was enforced to enhance the safety of underground construction. Consequently, a comprehensive assessment of underground safety is now an integral part of the planning process, including an evaluation of its impact. Ensuring the stability of temporary retaining walls during underground excavation has become paramount, prompting a heightened focus on the assessment of underground safety. This study delves into the analysis of the Multi-axis Flat Continuous Soil Cement Wall retaining wall (MFS) construction method. This method facilitates the expansion of wall thickness in the ground and provides flexibility in selecting and spacing H-piles. Through laboratory model tests, we scrutinized the load-displacement behavior of the wall, varying the H-pile installation intervals using the MFS method. Additionally, a 3-dimensional numerical analysis was conducted to explore the influence of H-pile installation intervals and sizes on the load for different thicknesses of the MFS retaining wall. The displacement analysis yielded the calculation of the height of the arching effect acting on the wall. To further our understanding, a design method was introduced, quantitatively analyzing the results of axial force and shear force acting on the wall. This involved applying the maximum arching height, calculated by the MFS method, to the existing member force review method. The axial force and shear force, contingent on the H-pile installation interval and size applied to the MFS retaining wall, demonstrated a reduction effect ranging from 24.6% to 62.9%.

• Korean Journal of Agricultural and Forest Meteorology
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• v.25 no.4
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• pp.368-375
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• 2023

In this study, we examined the error characteristic and bias correction method for one-month temperature forecast data produced through joint development between the Rural Development Administration and the H ong Kong University of Science and Technology. For this purpose, hindcast data from 2013 to 2021, weather observation data, and various environmental information were collected and error characteristics under various environmental conditions were analyzed. In the case of maximum and minimum temperatures, the higher the elevation and latitude, the larger the forecast error. On average, the RMSE of the forecast data corrected by the linear regression model and the XGBoost decreased by 0.203, 0.438 (maximum temperature) and 0.069, 0.390 (minimum temperature), respectively, compared to the uncorrected forecast data. Overall, XGBoost showed better error improvement than the linear regression model. Through this study, it was found that errors in prediction data are affected by topographical conditions, and that machine learning methods such as XGBoost can effectively improve errors by considering various environmental factors.

• Journal of agricultural medicine and community health
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• v.48 no.4
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• pp.262-274
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• 2023

Objectives: This study examined the evaluation and potential improvements of 'Integrated Healthcare and Social Welfare service model' based on the experiences of practitioners from institutions participating in the 'Dalgubeol Health Doctor Services' and the service recipients. Methods: Qualitative research was conducted from September to November 2022 in this study, focusing on 4 providers from the dedicated Dalgubeol Health Doctor Services Team, 5 contact partners from affiliated organizations, and 6 service beneficiaries. The data gathered underwent thematic analysis. Results: The evaluation indicated that Dalgubeol Health Doctor Services has proven to be effective in addressing the complex needs of vulnerable populations. By providing integrated services through quick and simple beneficiary selection and resource linkage, it has contributed to the resolution of complex demands, recovery of positive attitudes towards life, and improvement in quality of life for users who have fear the use of medical and welfare services. Dalgubeol Health Doctor Services has established an integrated health care system involving not only public but also private organizations, from the referral agency to the service provider. Centered around Daegu Medical Center and involving five tertiary hospitals, it has established a model that supports treatment appropriate to the severity of the patient, from mild to severe. Conclusions: These findings indicate an enhancement in health equity, achieved through the active identification and subsequent health and welfare issue resolution of individuals marginalized from medical benefits.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.27 no.3
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• pp.45-56
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• 2024

Heavy metals emitted from urban development do not decompose in the soil and remain for long periods, continually impacting the environment. Since the mid-1990s, there has been increasing societal concern in South Korea regarding soil contamination, prompting various legislative revisions to reduce pollution. This study utilizes the Environmental Impact Assessment Support System (EIASS) to investigate projects in the metropolitan area that have exceeded the Ministry of Environment's soil contamination concern levels from 1989 to 2022 and to examine improvements in the environmental impact assessment (EIA) process. The results reveal that the average concentrations of nine contaminants-cadmium (Cd), copper (Cu), arsenic (As), mercury (Hg), lead (Pb), hexavalent chromium (Cr6+), zinc (Zn), nickel (Ni), and fluoride (F)-have all increased over the years. Among these, Zn had the highest relative proportion, with 37.5% of the 40 sites exceeding environmental concern levels. Investigation of 19 specific projects at these exceedance sites showed that only 7 had documented analyses of contamination causes and remediation plans, and just one had contracted additional remediation services, though results from these efforts were found to be lacking. Furthermore, since 2019, a significant proportion of these sites were involved in residential developments, likely due to government initiatives in new city development and extensive housing supply plans. This research emphasizes the importance of public disclosure of the processes and outcomes of remediation efforts on historically contaminated soils prior to project development. It discusses improvements to the EIA by reviewing current legislation and international examples. The findings of this study are expected to heighten public awareness about heavy metal contamination and enhance transparency in soil remediation efforts, contributing to sustainable environmental management and development.

• Journal of agricultural medicine and community health
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• v.42 no.4
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• pp.234-243
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• 2017

Objective: This study was aimed to evaluate the effectiveness of the diabetes education program implemented in a community hypertension and diabetes education center. Methods: Participants were thirty nine diabetic patients who received the education program in the center from May 2014 through May 2015. The education program consisted of two sessions for 2 days (45 minutes per session) regarding clinical information, nutrition and exercise for type 2 diabetes patients. Initially, they were assessed for general characteristics, knowledge on diabetes, self-efficacy and self-care behaviors. Reassessment was performed on their knowledge and self-efficacy directly after the program, and on self-care behaviors at 12 weeks after the program. Results: The mean score of diabetes knowledge was significantly increased from $5.27{\pm}2.10$ to $8.21{\pm}1.20$ (p<0.001) between before and after the program. The self-efficacy score was also significantly increased from $6.88{\pm}1.72$ to $8.16{\pm}1.47$ (p<0.001). The self-care behavior score was significantly increased from $3.59{\pm}1.89$ before the program to $4.35{\pm}1.29$ (p<0.001) at 12 weeks after the program. Conclusion: The diabetes education program may be effective on the improvement of knowledge, self-efficacy and self-care behaviors in type 2 diabetic patients.