• Korean Journal of Community Nutrition
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• v.19 no.5
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• pp.468-478
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• 2014

Objectives: Intake of fruits and vegetables has protective effects against stroke attack. This study intended to examine the status of consuming fruits and vegetables and to find out which factors may influence the frequency of consumption of fruits and vegetables in individuals with a history of stroke. Methods: The data of 208 subjects from 5th (2010, 2011) Korea National Health and Nutrition Examination Survey (KNHNES) who reported a stroke diagnosis was used for analysis. To identify major factors influencing the consumption of fruits and vegetables, a classification-tree analysis was carried out. Results: Among those who reported a stroke diagnosis, the frequencies of consumption of fruits and vegetables were influenced by their age, place of residence (urban or rural), economic status, educational level, occupation, number of family members, frequency of eating out, and having meals (breakfast or lunch) with family members. Two factors from fruits and three factors from vegetables were generated by exploratory factor analyses. Urban residents ate fruits and vegetables more frequently in all factors than rural residents. Eating frequencies of 'seasonal fruits (orange, apple, strawberry, melon, pear and watermelon)', 'easily-accessible fruits (persimmon, tangerine, grape, peach, banana)', and 'Western-style vegetables (cabbage, mushroom, carrot, tomato, spinach)' were influenced by the socioeconomic status. Eating frequencies of 'Korean-style vegetables (bean sprout, radish leaves, pumpkin/squash, sea weed)', 'preserved vegetables (Korean cabbage, radish, laver, cucumber)' were influenced by having breakfast with family members. Conclusions: The results of this study suggested that by eating more fruits and vegetables, more preventive effects against secondary stroke attack are expected in stroke patients who live in the rural areas and who do not eat breakfast with family members. In addition, more outreach and education programs are needed for them.

• Korean Journal of Remote Sensing
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• v.37 no.5_3
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• pp.1447-1460
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• 2021

Urbanization increases the amount of impervious surface and artificial heat emission, resulting in urban heat island (UHI) effect. Local climate zones (LCZ) are a classification scheme for urban areas considering urban land cover characteristics and the geometry and structure of buildings, which can be used for analyzing urban heat island effect in detail. This study aimed to examine the UHI effect by urban structure in Suwon and Daegu using the LCZ scheme. First, the LCZ maps were generated using Landsat 8 images and convolutional neural network (CNN) deep learning over the two cities. Then, Surface UHI (SUHI), which indicates the land surface temperature (LST) difference between urban and rural areas, was analyzed by LCZ class. The results showed that the overall accuracies of the CNN models for LCZ classification were relatively high 87.9% and 81.7% for Suwon and Daegu, respectively. In general, Daegu had higher LST for all LCZ classes than Suwon. For both cities, LST tended to increase with increasing building density with relatively low building height. For both cities, the intensity of SUHI was very high in summer regardless of LCZ classes and was also relatively high except for a few classes in spring and fall. In winter the SUHI intensity was low, resulting in negative values for many LCZ classes. This implies that UHI is very strong in summer, and some urban areas often are colder than rural areas in winter. The research findings demonstrated the applicability of the LCZ data for SUHI analysis and can provide a basis for establishing timely strategies to respond urban on-going climate change over urban areas.

• Journal of the Korean Institute of Rural Architecture
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• v.26 no.1
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• pp.1-9
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• 2024

This study was motivated by the need to identify the characteristics of professionals involved in planning exterior spaces in urban development projects and to provide guidelines for maintaining the identity of urban images. Urban development's impact on external spaces can alter the image of the urban structure, especially due to the many boundaries between urban and rural areas. Therefore, there is a need for public standards for external spaces in such projects. This study collects and analyzes experts' opinions to understand the characteristics of each professional, selects the relative importance of each, and uses this as a guideline for step-by-step deliberation in planning external spaces. The research scope includes analyzing each expert's characteristics based on the external space evaluation items from Lee Limjeong's 2023 study, which builds upon existing research, and presenting the importance and priority of each expert. As a methodology, a questionnaire was conducted for each expert group using the indicators established in Lee Lim Jung's 2023 study for external spaces in urban development projects. An in-depth analysis was performed using the Analytic Hierarchy Process (AHP) for each expert. Using AHP analysis, the composite weight for each of the 17 detailed items was first adjusted by the number of item weights to account for the classification level of the large and detailed items. Then, the composite importance was calculated by multiplying the importance of the large, medium, and detailed classifications. The calculated composite importance was finally adjusted by applying the number of item weights again, ensuring the sum of the 17 importance values equals 1. The final importance calculated through this process was then presented by occupation.

• Journal of the Korean Institute of Rural Architecture
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• v.13 no.2
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• pp.55-62
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• 2011

This study examined the changes in land use and the distribution characteristics of locational facilities in the downtown space of a small town and the following results were obtained. The population of the subject small town was 9,476 as of 2010 which accounts for 15.8%. of Yeongam-gun. Regarding to a period, the population has been continuously decreased by 20.4% on average. Regarding to age group, while young people of 30 and under have been decreased, old people of 60 and over have been increased, suggesting a rapid increase in old population. Regarding to the area by land classification in the subject small town, while land has been increased by 6.9% on average, forests and fields have been decreased. Regarding urban planning area, residential and commercial areas have been increased by 3.1% and 5.8% on average respectively. It suggests that a rural area(arable land) tends to be gradually decreased, whereas a urban area tends to be steadily increased. Regarding the number of layers of buildings in the subject downtown streets, while one and two stories accounted for most parts in 1977, one story has been decreased but two and three stories have been increased since 1987. Regarding the use of buildings, living convenient facilities such as sale/retail trade and service/restaurant showed high location. In particular, one story which influences street vitality showed high location in sale/retail trade and service/restaurant, but many empty stores were also shown.

• Journal of recreation and landscape
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• v.8 no.4
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• pp.43-51
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• 2014

This research is based on a rural village reconstruction business that is a priority under the national support act for rural village vitalization. Allowing for an analysis of the regional and annual classification of business contents as part of the master district implementation plan, this research presents amenity resource applications for the purpose of understanding the business contents and resource status reports. To analyze the utilization of amenity resources in the rural villages' overall development business, a content analysis of the business characteristics and resources of 299 districts was conducted for a seven-year period (2005-2011). Information that included district names, enterprise types, and specifications of a particular business, were coded in Excel, through exhaustive research of the 299 districts. Using this process, a more detailed categorization of seven years of business data, periodic, and regional business contents were defined. As a result of this research, it is apparent that the overall district's facility resources are optimized for the most, and that the environmental management of resources, including animal and plant resources, as well as water resources, is continuously decreasing, as was shown in the annual amenity resource usage transition. The annual amenity resource usage transition data denotes the highest rates in Jun-Ra-Buk-Do and Kyung-Sang-Buk-Do. In summary, this analysis verified the urgent need for diverse amenity resource utilization, research on practical alternatives, and the resource optimization of environmental controls for sustainable development in rural areas.

• Korean Journal of Remote Sensing
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• v.37 no.5_1
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• pp.1061-1070
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• 2021

In this manuscript, we tried to improve the performance of the FC-DenseNet by applying an attention gate for the classification of cropping areas. The attention gate module could facilitate the learning of a deep learning model and improve the performance of the model by injecting of spatial/spectral weights to each feature map. Crop classification was performed in the onion and garlic regions using a proposed deep learning model in which an attention gate was added to the skip connection part of FC-DenseNet. Training data was produced using various PlanetScope satellite imagery, and preprocessing was applied to minimize the problem of imbalanced training dataset. As a result of the crop classification, it was verified that the proposed deep learning model can more effectively classify the onion and garlic regions than existing FC-DenseNet algorithm.

• Korean Journal of Soil Science and Fertilizer
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• v.45 no.6
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• pp.1194-1202
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• 2012

Remotely sensed satellite images can be applied to monitor and obtain land surface information on inaccessible areas. We classified paddy field area in North Korea based on on-screen digitization with visual interpretation using 291 RapidEye satellite images covering the whole country. Criteria for paddy field classification based on RapidEye imagery acquired at different time of rice growth period was defined. Darker colored fields with regular shape in the images with false color composite from early May to late June were detected as rice fields. From early July to late September, it was hard to discriminate rice canopy from other type of vegetation including upland crops, grass, and forest in the image. Regular form of readjusted rice field in the plains and uniform texture when compared with surrounding vegetation. Paddy fields classified from RapidEye imagery were mapped and the areas were calculated by administrative district, province or city. Sixty six percent of paddy fields ($3,521km^2$) were distributed in the west coastal regions including Pyeongannam-do, Pyeonganbuk-do, and Hwanghaenam-do. The paddy field areas classified from RapidEye images showed less than 1% of difference from the paddy field areas of North Korea reported by FAO/WFP (Food and Agriculture Organization/World Food Programme).

• Journal of the Korean Society of Environmental Restoration Technology
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• v.9 no.6
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• pp.63-77
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• 2006

The research aim is to classify biotope types of rural eco-villages designed by ministry of environment and analyze landscape ecological characteristics of them. This information would provide information on eco-villages' potential and specific needs to improve landscape ecological structure of eco-villages. Two eco-villages, designated by ministry of environment, in Yoocheon-ri and Sanduk-ri were selected and the landscape ecological metrics used in this study were Area, Shannon diversity index, Shape index, Distance index. The results are as follows. 1) There were five biotope types in large-scale classification, 13 biotope types m Sanduk-ri and 9 biotope types in Yoocheon-ri in middle-scale classification, 31 biotope types in Sanduk-ri and 24 biotope types in Yoocheon-ri in small-scale classification. 2) In the case of area, artificial biotope types, such as artificial forest, agricultural irrigation canal, wet paddy, dry paddy and residential area, covered more than 80% of total area. However, natural biotope types, such as natural forest, river, reservoir, covered just more than 10% of total area. In details, an orchard (26.69%) was the dominant biotope type, followed by artificial forest (19.10%) in Sanduk-ri and the first most abundant biotope type was artificial forest (49.71%), followed by wet paddy (15.95%) in Yoocheon-ri. 3) The result of Shannon diversity index indicated that Sanduk-ri (2.158) had more heterogeneity landscape, rather than Yoocheon-ri (2.051). 4) In the case of shape index, road (13.09) had more complex and irregular shape than either agricultural irrigation canal (3.35) or artificial forest (2.46) in Sanduk-ri. Road (6.52) was also the most irregular biotope shape, followed by river (5.70) and agricultural irrigation canal (4.78) in Yoocheon-ri. 5) Mean Nearest-neighbour Distance (MND) was smallest in wet paddy and dry paddy biotope types in the two study area, suggesting that these biotope types were concentrated within these study areas. From the result, this research suggested information to protect and improve biotopes of eco-villages in the landscape ecological terms. To achieve this improvement plan, there should be strong support by ministry of environment and local governments.

• Journal of the Korean Association of Geographic Information Studies
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• v.17 no.2
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• pp.136-155
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• 2014

The purpose of this study is to analyze the thermal comfort in Yeongnam area using climatic data and GIS data in order to determine regions necessary to improve thermal environment policies. The results of the calculated PET show that Daegu city is high and Bonghwa-gun is low compared to other regions. PET was compared with the typical classification according to regional characteristics. As a result, PET value of rural areas such as Changnyeong-gun, Haman-gun and Goryeong-gun was high but Green space was too low compared to other rural areas. Yeongnam area was classified according to the value of PET using cluster analysis. As a result, more low grade areas show that green space ratio was low and facility area was high. It is determined that there is a relationship between thermal comfort and land cover. The thermal comfort evaluation map in Yeongnam area will be useful for urban planning in order to establish a sustainable city in climate change.

• Journal of Distribution Science
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• v.9 no.2
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• pp.111-122
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• 2011

The purpose of this study is to survey the successful cases of small and medium Business Systematization Cognition by examining their entrepreneurial characteristics and analysing the factors affecting their success. To that end, previous studies on the association types of small businesses were studied. A research model was developed, and research hypotheses for an empirical analysis were established upon it. Suh et al. (2010) insist on the importance of Small Business Systematization in Korea but also show that small business performance is suffering: they are too small to stand alone. That is why association is so crucial for them: they must stand together. Unfortunately, association is difficult, as they have few specific links and little motivation. Even in franchising networks, association tends to be initiated by big franchisers, not small ones. In that sense, association among small businesses is crucial for their long-term survival. With this in mind, this study examines how they think and feel about the issue of 'Industrial Classification', how important Industrial Classification is to their business success, and what kinds of problems it raises in the markets. This study seeks the different cognitions among the association types of small businesses from the perspectives of participation motivation, systematization expectation, policy demand level, and management performance. We assume that different industrial classification types of small businesses will have different cognitions concerning these factors. There are four basic industrial classification types of small businesses: retail sales, restaurant, service, and manufacturing. To date, most of the studies in this area have focused on collecting data on the external environments of small businesses or performing statistical analyses on their status. In this study, we surveyed 4 market areas in Busan, Masan, and Changwon in Korea, where business associations consist of merchants, shop owners, and traders. We surveyed 330 shops and merchants by sending a questionnaire or visiting. Finally, 268 questionnaires were collected and used for the analysis. An ANOVA, T-test, and regression analyses were conducted to test the research hypotheses. The results demonstrate that there are differences in cognition depending upon the industrial classification type. Restaurants generally have a higher cognition concerning job offer problems and a lower cognition concerning their competitiveness. Restaurants also depend more on systematization expectation than do the other industrial classification types. On the policy demand level, restaurants have a higher cognition. This study identifies several factors that are contributing to management performance through differences in cognition that depend upon association type: systematization expectation and policy demand level have positive effects on management performance; participation motivation has a negative effect on management performance. We confirm also that the image factors of different cognitions are linked to an awareness of the value of systematization and that these factors show sequential and continual patterns in the course of generating performances. In conclusion, this study carries significant implications in its classifying of small businesses into the four different associational types (retail sales, restaurant, services, and manufacturing). We believe our study to be the first one to conduct an empirical survey in this subject area. More studies in this area will likely use our research frameworks. The data show that regionally based industrial classification associations such as those in rural cities or less developed areas tend to suffer more problems than those in urban areas. Moreover, restaurants suffer more problems than the norm. Most of the problems raised in this study concern the act of 'associating itself'. Most associations have serious difficulties in associating. On the other hand, the area where they have the least policy demand is that of service types. This study contributes to the argument that associating, rather than financial assistance or management consulting, promotes the start-up and managerial performance of small businesses. This study also has some limitations. The main limitation is the number of questionnaires. We could not survey all the industrial classification types across the country because of budget and time limitations. If we had, we could have produced many more useful results and enhanced the precision of our analysis. The history of systemization is very short and the number of industrial classification associations is relatively low in Korea. We should keep in mind, though, that this is very crucial to systemization entrepreneurs starting their businesses, as it can heavily affect their chances of success. Being strongly associated with each other might be critical to the business success of industrial classification members. Thus, the government needs to put more effort and resources into supporting the drive of industrial classification members to become more strongly associated.