• Journal of Agricultural Extension & Community Development
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• v.21 no.3
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• pp.271-305
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• 2014

There is an inescapable requirement in public policy to provide evidence. For the evaluation of the EU Rural Development Policy, the European Commission has designed a Common Monitoring and Evaluation Framework(CMEF). The principal objectives of evaluations are to improve decision-making, resource allocation and accountability. In Korea, howerver, the opinion-based policy by expert is still rural development evaluation system. It does not provide the objective quantitative indicators for impact of rural development project. According to this, the budget-making body (parliament, government, etc.) have questioned the effectiveness of rural development projects, rural development projects often reduced or changed. To improve the accountability of rural development policy, it is necessary to build a reliable monitoring and evaluation system based on the evidence. First, rural development evaluation indicators should be considered the multipul goal of rural development, namely economic development, social development. Second, the purpose of the evaluation is necessary to be designed for the learning rather than reward. Third, the participation by local residents should be strengthened in evaluation process. Finally, it is necessary to establish rural development monitoring and evaluation system, such as CMEF of the EU (CMEF).

• Proceedings of the Korean Institute of Landscape Architecture Conference
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• 2018.03a
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• pp.9-12
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• 2018

• Korean Journal of Rural Living Science
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• v.4 no.2
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• pp.165-166
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• 1993

• 농업기술회보
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• v.44 no.2 s.509
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• pp.30-34
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• 2007

• Water for future
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• v.47 no.3
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• pp.96-104
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• 2014

• 한국보건간호학회:학술대회논문집
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• 1997.12a
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• pp.46-47
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• 1997

• Journal of Agricultural Extension & Community Development
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• v.11 no.1
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• pp.139-159
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• 2004

Since 1990s, the countrysides in Seoul Metropolitan Area have been exposed to the unprecedented forces like developing telecommunication technology, the boom of exurban housing, increasing concern about food quality. While these new forces are restructuring the social and spatial pattern of countryside, a legal regulation can be assumed as exerting an overarching moulding power. This paper shows how the legal regulation works in the restructuring rurality.

• Korean Journal of Remote Sensing
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• v.39 no.6_3
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• pp.1693-1705
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• 2023

Rural areas, which account for about 90% of the country's land area, are increasing in importance and value as a space that performs various public functions. However, facilities that adversely affect residents' lives, such as livestock facilities, factories, and solar panels, are being built indiscriminately near residential areas, damaging the rural environment and landscape and lowering the quality of residents' lives. In order to prevent disorderly development in rural areas and manage rural space in a planned manner, detection and monitoring of hazardous facilities in rural areas is necessary. Data can be acquired through satellite imagery, which can be acquired periodically and provide information on the entire region. Effective detection is possible by utilizing image-based deep learning techniques using convolutional neural networks. Therefore, U-Net model, which shows high performance in semantic segmentation, was used to classify potentially hazardous facilities in rural areas. In this study, KOMPSAT ortho-mosaic optical imagery provided by the Korea Aerospace Research Institute in 2020 with a spatial resolution of 0.7 meters was used, and AI training data for livestock facilities, factories, and solar panels were produced by hand for training and inference. After training with U-Net, pixel accuracy of 0.9739 and mean Intersection over Union (mIoU) of 0.7025 were achieved. The results of this study can be used for monitoring hazardous facilities in rural areas and are expected to be used as basis for rural planning.

• Journal of agricultural medicine and community health
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• v.46 no.4
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• pp.230-241
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• 2021

Objectives: The purpose of this study was to identify the level of quality of life and related factors in the elderly with dementia living in their houses of rural area who are receiving dementia partners' supporting activities. Methods: The study participants were 55 elderly people with dementia living in their houses who were participating in the dementia partner pilot project among those registered in the public health center in one area and 55 dementia partners. Data were analyzed by independent t-test, ANOVA, Pearson correlation analysis and multiple regression analysis. Results: The factors that had a significant effect on quality of life included depression to predict the quality of life in the elderly with dementia. And its explanatory power was 46.8%. Conclusions: Based on these results, it is crucial not only to maintain physical functions but also to decrease depression by emotional support activities so as to enhance their quality of life, therefore, it is required to develop and apply the integrative supporting programs in rural area. From the result that dementia partner's self-compassion would lower the depression in the elderly with dementia significantly, it is considered to develop the programs to enhance dementia partners' self-compassion.

• Proceedings of the Korea Contents Association Conference
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• 2019.05a
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• pp.399-400
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• 2019

장소 개념의 관점에서 슬로시티의 구축 특성을 도출하는 것은 대안적 농촌개발전략으로서의 가능성을 평가할 수 있는 것과 동시에 국내 농촌지역 개발정책의 개선방향에 시사점을 제공할 수 있을 것이다. 또한 슬로시티의 추상적인 개념에 대하여 장소 개념의 관점에서 구체적인 이해를 가능하게 할 것이다.