• Research in Community and Public Health Nursing
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• v.16 no.4
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• pp.381-391
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• 2005

Purpose: The purpose of this research is to develop and classify district visiting nursing standards and to standardize visiting nursing service pathways. Method: This research was conducted as a focus group study and analyzed visiting nursing records. We surveyed 201 recipients at urban health centers, who were selected through convenient sampling, from April 2003 to November 2003. Result: First, visiting nursing service recipients were classified into four groups according to household and financial characteristics, existence of disease, ability of self-care, and existence of home care service needs. Standardized pathways of the selected items were assessment. nursing care plan, disease management and promotion of self-care ability for Level I (mean=12.2 visits). For Level II (7.3 visits) were offered assessment. disease management. health education. and health promotion services. For Level III (5.2 visits) were offered assessment. disease management. health education and health promotion services, and for Level IV (2.7 visits) were offered thorough assessment, education for self-care and health promotion. Conclusion: The visiting nursing service pathways identified in this research need to be developed further as basic materials applicable to quality assurance and agency evaluation. For this, we suggest repeated research and test to apply the derived standardized visiting nursing services pathways in visiting nursing programs.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.23 no.1
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• pp.1-14
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• 2020

In this study, we 1) identified the damaged areas along the south limit line (SLL) of the demilitarized zone (DMZ) by the military's 'DMZ barren land campaign', and 2) categorized the identified damaged areas into a few ecological types. Using high-resolution satellite images, we delineated the total damaged areas to be 1,183.2 ha, which accounted for 50.1% of the 100-m northern buffer regions from the SLL. Of the total damaged areas, 16% were severely damaged, i.e., they had been damaged until recently and so remained barren without vegetation cover. In other areas, the levels of damage were either moderate (59.9%) or slight (24.1%), due to natural succession that turned those areas to grassland or forest. Using satellite image-derived land cover maps and climatic and topographic data, we categorized the damaged areas into seven types: lowland grassland (19.8%), western lowland forest (21.4%), low-altitude forest (25.5%), mid-altitude forest (18.4%), high-altitude forest (6.8%), vicinity in east coast (7.9%), and waterbody (0.2%). These types can be used to identify proper measures to restore ecosystems in the DMZ for now and after Korean reunification.

• Korean Journal of Geomatics
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• v.2 no.1
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• pp.37-46
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• 2002

Accurate classification of water area is an preliminary step to accurately analyze the flooded area and damages caused by flood. This step is especially useful for monitoring the region where annually repeating flood is a problem. The accurate estimation of flooded area can ultimately be utilized as a primary source of information for the policy decision. Although SAR (Synthetic Aperture Radar) imagery with its own energy source is sensitive to the water area, its shadow effect similar to the reflectance signature of the water area should be carefully checked before accurate classification. Especially when we want to identify small flood area with mountainous environment, the step for removing shadow effect turns out to be essential in order to accurately classify the water area from the SAR imagery. In this paper, the flood area was classified and monitored using multi-temporal RADARSAT SAR images of Ok-Chun and Bo-Eun located in Chung-Book Province taken in 12th (during the flood) and 19th (after the flood) of August, 1998. We applied several steps of geometric and radiometric calculations to the SAR imagery. First we reduced the speckle noise of two SAR images and then calculated the radar backscattering coefficient $(\sigma^0)$. After that we performed the ortho-rectification via satellite orbit modeling developed in this study using the ephemeris information of the satellite images and ground control points. We also corrected radiometric distortion caused by the terrain relief. Finally, the water area was identified from two images and the flood area is calculated accordingly. The identified flood area is analyzed by overlapping with the existing land use map.

• Land and Housing Review
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• v.11 no.4
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• pp.51-65
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• 2020

The purpose of this study was to identify the problems related to the amendment and preservation of the lien system and to suggest a feasible and efficient improvement plan. The Analytic Hierarchy Process (AHP) and descriptive statistical analyses were used in this study. The survey subjects were divided into three groups based on their expertise: "Administrative Experts, Practical Experts, and Financial Institution Experts" and compared to find the results. The results show that 1) the procedural aspect was the most important for the large classification, 2) the supplementary disclosure system was the most important for the legislative aspect, and 3) the supplementation of the abuse of the lien report was the most important for the intermediate classification. Furthermore, the study showed that the most important finding was the reinforcement of punishment for the right of false reporting and illegal acts, followed by the registration order system (the creditor alone application), and the registration system (bond, debtor, joint application). The implications and suggestions of this study are as followed. With regard to the current lien system, illegal acts such as false liens and the misuse of multiple reporting were considered as the biggest problems. In terms of the effective improvement plan of the lien system, the misuse of reporting liens and improvement in the procedural aspects of reporting rights should be given top priority. Therefore, the most important course of action is to strengthen the punishment for false liens, improve the disclosure system and make it mandatory to report rights.

• Korean Journal of Remote Sensing
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• v.38 no.5_2
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• pp.685-694
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• 2022

Building information is essential for various urban spatial analyses. For this reason, continuous building monitoring is required, but it is a subject with many practical difficulties. To this end, research is being conducted to extract buildings from satellite images that can be continuously observed over a wide area. Recently, deep learning-based semantic segmentation techniques have been used. In this study, a part of the structure of the context-based ResU-Net was modified, and training was conducted to automatically extract a building from a 30 cm Worldview-3 RGB image using SpaceNet's building v2 free open data. As a result of the classification accuracy evaluation, the f1-score, which was higher than the classification accuracy of the 2nd SpaceNet competition winners. Therefore, if Worldview-3 satellite imagery can be continuously provided, it will be possible to use the building extraction results of this study to generate an automatic model of building around the world.

• Atmosphere
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• v.32 no.2
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• pp.119-133
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• 2022

From 2015 to 2021, high-concentration fine dust episodes with a daily average PM_2.5 concentration of 50 ㎍ m^-3 or higher were selected and classified into 3 types [long range transport (LRT), mixed (MIX) and Local emission and stagnant (LES)] using synoptic chart and backward trajectory analysis. And relationships between the fine particle data (PM_2.5 and PM₁₀ concentration and PM_2.5/PM₁₀ ratio) and meteorological data (PBLH, Ta, WS, U-wind, and Rainfall) were analyzed using hourly observation for the classification episodes on the Korean Peninsula and the Seoul metropolitan area (SMA). In LRT, relatively large particles such as dust are usually included, and in LES, fine particle is abundant. In the Korean peninsula, the rainfall was relatively increased centered on the middle and western coasts in MIX and LES. In the SMA, wind speed was rather strong in LRT and weak in LES. In LRT, rainfall was centered in Seoul, and in MIX and LES, rainfall appeared around Seoul. However, when the dust cases were excluded, the difference between the LRT and other types of air quality was decreased, but the meteorological variables (Ta, RH, Pa, PBLH, etc.) were further strengthened. In the case of the Korean Peninsula, it is difficult to find a clear relationship because regional influences (topographical elevation, cities and coasts, etc.) are complexly included in a rather wide area. In the SMA, it is analyzed that the effects of urbanization such as the urban heat island centered on Seoul coincide with the sea and land winds, resulting in a combination of high concentrations and meteorological phenomena.

• 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.

• Journal of Korea Water Resources Association
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• v.56 no.2
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• pp.115-124
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• 2023

Currently, as the frequency of extreme weather events increases, the scale of damage increases when extreme weather events occur. This has been providing forecast information by investing a lot of time and resources to predict rainfall from the past. However, this information is difficult for non-experts to understand, and it does not include information on how much damage occurs when extreme weather events occur. Therefore, in this study, a risk matrix based on heavy rain damage rating was presented by using the impact forecasting standard through the creation of a risk matrix presented for the first time in the UK. First, through correlation analysis between rainfall data and damage data, variables necessary for risk matrix creation are selected, and PERCENTILE (25%, 75%, 90%, 95%) and JNBC (Jenks Natural Breaks Classification) techniques suggested in previous studies are used. Therefore, a rating standard according to rainfall and damage was calculated, and two rating standards were synthesized to present one standard. As a result of the analysis, in the case of the number of households affected by the disaster, PERCENTILE showed the highest distribution than JNBC in the Yeongsan River and Seomjin River basins where the most damage occurred, and similar results were shown in the Chungcheong-do area. Looking at the results of rainfall grading, JNBC's grade was higher than PERCENTILE's, and the highest grade was shown especially in Jeolla-do and Chungcheong-do. In addition, when comparing with the current status of heavy rain warnings in the affected area, it can be confirmed that JNBC is similar. In the risk matrix results, it was confirmed that JNBC replicated better than PERCENTILE in Sejong, Daejeon, Chungnam, Chungbuk, Gwangju, Jeonnam, and Jeonbuk regions, which suffered the most damage.

• Journal of the Korean Institute of Landscape Architecture
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• v.44 no.2
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• pp.70-82
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• 2016

We investigated the vegetation structure in Cultural Heritage Site of Odaesan National Park using 52 quadrats for each type of land use to figure out some characteristics of plant biotope. As we classified vegetation communities, they are six groups of communities. distinguished species in two of them are Taraxacum officinal, Erigeron annuus and Poa pratensis which are common in urban areas. Distinguished species in one of them are Potentilla fragarioides var. major which is common in outskirt of forest. And Distinguished species in another 3 communities are Sasa borealis and Quercus mongolica which are common in forest. Using TWINSPAN and DCA, we are able to classify the six communities into 3 types biotope (temple-biotope, slope-biotope, forest-biotope) in Cultural Heritage Site. The dominant species of urban-biotope are Poa pratensis, Artemisia prinseps and that of slope-biotope is Tripterygium regelii. Also the dominant species of forest-biotope are Quercus mongolica, Abies holophylla and Ulmus davidiana var. japonica. We could see more species in slope-biotope than another biotope types. Moreover, in urban-biotope types, we could find many of naturalized plant species.

• Journal of the Korean Institute of Landscape Architecture
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• v.36 no.4
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• pp.36-47
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• 2008

The purpose of this study is to classify and assess the characteristics of urban Korean parks by on-site park users' reactions, such as satisfaction, preference and cognitive image of the park and park facilities. The park facilities are classified into five types of satisfaction: management status, activity facilities, convenient facilities, circulation and density, and landscape facilities. The park users are satisfied with conversation, rest and relaxation in the parks, but not satisfied with studying and nature experience. The behaviors in the park are classified as park activities, emotional and experiential activities, and nature activities. The results indicate that the images of the parks are stable, comfortable and natural. There are three factors to classifying the park images: nature-harmony, openness, uniqueness. Preferences for each parks are generally good. According to the criteria such as satisfaction of park facility, behavioral satisfaction, images and preference for each park, the 12 parks are divided into 5 different types: multi-purpose park, well-balanced park with natural elements, urban open space, park to be improved, and ecological park. The characteristics of each park was analyzed and categorized. This study dealt with only the parks in Seoul and its environs, and the survey was only done during the summer season. Therefore, further research is necessary to enlarge and generalize the results of this study, considering seasonal and regional variations.