• Journal of Korean Public Health Nursing
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• v.26 no.2
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• pp.289-302
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• 2012

Purpose: The purpose of this study was to compare the effectiveness of case management in elderly medicaid beneficiaries according to geographic location. Methods: Data were collected from 23,633 elderly medicaid beneficiaries assigned from over users of medicaid. We used the need assessment tool developed by the government, which consists of 19 items with four subscales. Results: Among elderly medicaid beneficiaries, statistically significant differences in effectiveness of case management were observed for quality of life, self-care competency, medical care utility, and support system. Differences in case management effectiveness were higher in urban areas than in metropolitan or rural areas. Conclusion: The differentiated and tailored intervention model based on characteristics of participants, resource distribution, and geographic location may be needed for effective case management for elderly medicaid beneficiaries.

• Transactions of the Korean hydrogen and new energy society
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• v.25 no.3
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• pp.255-263
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• 2014

This paper deals with a construction plan of hydrogen fueling stations on express highways using geographic information system. We analyzed the existing hydrogen fueling stations and production facilities to construct the hydrogen supply system to satisfy the hydrogen demands. Also, we suggested the necessary number and locations of hydrogen fueling stations on express highways for operating fuel cell vehicles. As a result, we need to construct at least 6 hydrogen stations on express highways in 2020 and 14 hydrogen stations in 2025. In 2030, when fuel cell vehicles are expected to spread over the whole nation, 114 hydrogen stations are needed to construct on express highways. This study mainly utilized the information of distances between hydrogen production facilities and fueling stations. However, we need to analyze the other factors such as traffic and income data. Also, it is necessary to make a suitable construction plan of hydrogen fueling stations that should be constructed on each district using geographic information system.

• Journal of the Korean Society for information Management
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• v.28 no.3
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• pp.163-178
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• 2011

Using the library users' data in Lake County Public Library Systems, Florida, US, this study discussed how geographic information systems can be applied in LIS fields. These data were analyzed with such GIS functions as geocoding, Thiessen polygon, density, buffer, and distance measurement. Results indicate that findings from a study of these functions allowed for, not only a better understanding of the geographic locations of library users and user's library activity patterns, but also for the ability to identify library market areas for future library service planning. Additionally, results from a study of the Thiesen polygon and buffer functions indicated the distance impact on library use. Regarding the travel distance of library users, the measurement of distance using road networks was suggested.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.9B
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• pp.847-856
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• 2009

In geographic routing for wireless sensor networks, sources need the location of sinks destined for delivering their data packets. Most of the existing geographic routing protocols merely assume that the sources can get the locations of sinks by some location service. How source nodes find out the location of sinks is not easy. In this paper, we propose a sink location dissemination scheme in geographic routing for wireless sensor networks. In this scheme, a source node and a sink node send sink location announcement and query messages along two paths respectively by geographic routing. The node located on the crossing point of the two paths informs the source about the sink location. Then the source can send data packet to the sink by geographic routing. How to guarantee that these two paths have at least one crossing point in any irregular profile of sensor network is the challenge of this paper Simulation results show that our protocol is significantly superior to other protocols in terms of energy consumption and control overhead.

• Journal of the Korean Association of Geographic Information Studies
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• v.11 no.4
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• pp.85-93
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• 2008

The MAEULSOOP, Korean traditional village groves have been installed and survived since 7th Century to serve local village dwellers as a community forest. The common sense of their reasons for being is related to the surroundings such as hills, waterways and wind-ways. To understand the roles in a local community, spatial characteristics of distribution, locations and shapes were tested at the two-characterized regions, the Southwestern Flat Region and the Eastern Hilly Region. Approximately more than 500 written evidences related to trees and forests were surveyed, for example village names, folk tales and lists of designated trees for protection. Twenty sites in each region were selected and tested for the spatial analysis. Aerial photographs, DEM and the ArcGIS with a modified AML for slope analysis are applied based on the criteria of the KLCIS(Kwon, 2002; 권진오, 2008). The major factors in the role of the MAEULSOOP based on the spatial character of two regions are; the array and locations of hills for encircling or exposure, locations against corridors and waterway or not, locations of the community to serve, the conservation of energy. Although locations and shapes of the MAEULSOOP are slightly different, it seems that one of the prime roles is what makes their everyday life difficult the most in the community.

• Journal of the Economic Geographical Society of Korea
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• v.24 no.4
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• pp.411-424
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• 2021

The purpose of this study is to analyze the location characteristics of convenience stores, a consumption industry that forms a new retail environment and implements unattended, and reveals the geographic factors that affect its location. For this purpose, we first examine the growth and regional distribution of manned convenience stores and then construct a gamma generalized linear regression model that explains the distribution of the unmanned convenience stores as well as the manned and unmanned combined convenience stores. As the result, it was observed that the unmanned convenience stores and the unmanned discount stores are located close to public transportation facilities and they have relatively little movement of the population but they are distributed in areas with a higher density of young residential population and densely distributed retail stores and restaurants. The effects of demographic factors on the location of the unmanned convenience stores and the unmanned discount stores differed according to the scope and characteristics of their sales items. Our findings provide an empirical basis for subsequent academic research as an initial study that identified geographic factors influencing the selection of opening locations for unmanned stores.

• Journal of the Korean Association of Geographic Information Studies
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• v.27 no.2
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• pp.19-33
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• 2024

CCTV for crime prevention is expanding; however, due to the absence of guidelines for determining installation locations, CCTV is being installed in locations unrelated to areas with frequent crime occurrences. In this study, we developed a CCTV Priority Installation Index and applied it in a case study area. The index consists of crime vulnerability and surveillance vulnerability indexes, calculated using machine learning algorithms to predict crime incident counts per grid and the proportion of unmonitored area per grid. We tested the index in a pilot area and found that utilizing the Viewshed function in CCTV visibility analysis resolved the problem of overestimating surveillance area. Furthermore, applying the index to determine CCTV installation locations effectively improved surveillance coverage. Therefore, the CCTV Priority Installation Index can be utilized as an effective decision-making tool for establishing smart and safe cities.

• Journal of the Korean Association of Geographic Information Studies
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• v.8 no.4
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• pp.165-175
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• 2005

Geographic Information System(GIS) is useful to preserve cultural heritage and land use management using both spatial information management technique and spatial analysis function in cultural heritage management. The purpose of this study is to build a database of pottery and kiln sites in South Korea, to analyze site locations and finally to make prediction model. The locations of 1,200 sites are put into GIS database. Such factor elevation, slope angle, aspect, horizontal/vertical distance from the nearest water are analyzed. Each factor was statistically analyzed on GIS and represented to rank 1-5. Pottery/kiln can be predicted by the spatial analysis function in overlay methods. As a result of this study, preliminary application of prediction model shows that the high potential area is between the slope and alluvial plain. Field survey in the Sungbuk-dong in Daejeon city supports the preliminary result. More data can make improve efficient prediction model in unknown areas.

• Journal of Korea Multimedia Society
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• v.17 no.4
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• pp.458-465
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• 2014

In this paper, we propose a strategy to distribute the energy consumption over the network. The proposed strategy is based on geographic routing. We use a smart base station that maintains the residual energy and location information of sensor nodes and selects a head node and an anchor node using this information. A head node gathers and aggregates data from the sensor nodes in a target region that interests the user. An anchor node then transmits the data that was forwarded from the head node back to the smart base station. The smart base station extends network lifetime by selecting an optimal head node and an optimal anchor node. We simulate the proposed protocol and compare it with the LEACH protocol in terms of energy consumption, the number of dead nodes, and a distribution map of dead node locations.

• Proceedings of the KSRS Conference
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• v.2
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• pp.840-843
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• 2006

The aim of this study was to detect landslide using satellite image and apply the landslide to probabilistic landslide-susceptibility mapping at Gangneung area, Korea using a Geographic Information System (GIS). Landslide locations were identified by change detection technique of KOMSAT-1 (Korea Multipurpose Satellite) EOC (Electro Optical Camera) images and checked in field. For landslide-susceptibility mapping, maps of the topography, geology, soil, forest, lineaments, and land cover were constructed from the spatial data sets. Then, the sixteen factors that influence landslide occurrence were extracted from the database. Using the factors and detected landslide, the relationships were calculated using frequency ratio, one of the probabilistic model. Then, landslide-susceptibility map was drawn using the frequency ration and finally, the map was verified by comparing with existing landslide locations. As the verification result, the prediction accuracy showed 86.76%. The landslide-susceptibility map can be used to reduce hazards associated with landslides and to land cover planning.