• Korean Journal of Agricultural Science
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• v.38 no.2
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• pp.343-347
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• 2011

Precise traveling and tillage operation using an autonomous tractor is difficult with the data from the Geographic Information System(GIS) because it does not include the data of the width and inclination of the field to work. The minimum turing radius of the tractor could be different from the value presented by the tractor maker due to the moisture content of the field soil or operators' skill. Two programs were developed to process data obtained with the tillage path measuring system: one for recognizing coordinates of the 4 field corners, and the other for recognizing the minimum turning radius of the tractor.

• Journal of Korean Society of Forest Science
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• v.99 no.5
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• pp.770-776
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• 2010

This study was conducted to assess the existing flora and fauna, and to develop a spatial map of Alapang communal forest located in the province of Benguet, Philippines. A total of 52 species belonging to 27 families were identified during the inventory in this communal forest using the quadrat method while a total of 30 species belonging to 18 families were recorded using line intercept technique for the assessment of grasses, herbs, vines and other low-lying vegetation. The diversity index of the species in Alapang communal forests using the quadrat method was 2.6649 while for the line intercept technique it was 2.5446. The most dominant species in this area was found to be Pinus kesiya Royle ex Gordon (Benguet pine) under Family Pinaceae with an importance value of 106.74%. In the faunal assessment, four species of birds and a small mammal particularly a rodent were identified during the study. Aside from the high species diversity of this communal forest, the presence of endemic and indicator species in the area denotes that this forest was still in good condition hence must be protected. Spatial maps and database system were generated based from data gathered in the field using Geographic Information System (GIS).

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.23 no.3
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• pp.331-340
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• 2005

Digital map is very important digital geographic information which is the base for various fields such as building and using the geographic information system (GIS), planing the regional development, and etc. Therefore, it needs high accuracy. Then we offer the advanced technique which minimizes errors on digital maps, using the automated inspection through the whole figures. In addition this new technique raises the economical efficiency as well as accuracy applying the automated error detection method which can recognize, search and classify errors automatically.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.34 no.3
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• pp.339-346
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• 2016

Semantic search recently been used in the search field. POI is one of the most essential information that make up the geographic information, and many of the geographic information system has POI search function as a basic. In this study, we propose POI semantic search using collective intelligence. For this, we designed and implemented service that constructs empirical information from tag and image, and provides an intuitive spatial navigation experience. For POI search, collective intelligence platform that many users can participate to collect variety information was designed and implemented.

• Journal of the Korean association of regional geographers
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• v.8 no.2
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• pp.161-169
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• 2002

The traditional methodology of Korean regional studies had been shifted by geographic thoughts and philosophy as follows; Environmentalism or Environmental determinism stemming from geomancy were dominant methodology in the Korea era. An idiographic approach was introduced based on the encyclopedic description of geographic factors of villages for the centeralization of power in the Chosun era. A systematic geography that pursues scientific laws of regional differences which results from the interactions of human and nature had emerged through field works of some practical school in the later Chosun era.

• Journal of the Korea Society of Computer and Information
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• v.4 no.2
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• pp.19-26
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• 1999

The geographic information system is needed in the image recognition field. This study recommends an efficient method to construct the GIS from the feature extraction of roads through scanning of a normal or hand-made maps. Many algorithms have been presented for such image information recognition. However, such algorithm processes have limitations due to their complexity. To efficiently extract road information from scanning map images. a $3{\times}3$ directional form is applied - structuring element, erosion and dilation, and opening and closing. This method allows for efficient evaluation of the featured road extracts from the map image and from the character sets.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2003.04a
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• pp.64-64
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• 2003

The aim of this study is to apply and verify of logistic regression at Janghung, Korea, using a Geographic Information System (GIS). Landslide locations were identified in the study area from interpretation of IRS satellite images, field surveys, and maps of the topography, soil type, forest cover, geology and land use were constructed to spatial database. The factors that influence landslide occurrence, such as slope, aspect and curvature of topography were calculated from the topographic database.13${\times}$1ure, material, drainage and effective soil thickness were extracted from the soil database, and type, diameter and density of forest were extracted from the forest database. Land use was classified from the Landsat TM image satellite image. As each factor's ratings, the logistic regression coefficient were overlaid for landslide susceptibility mapping. Then the landslide susceptibility map was verified and compared using the existing landslide location. The results can be used to reduce hazards associated with landslides management and to plan land use and construction.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2003.04a
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• pp.63-63
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• 2003

The aim of this study is to apply and verify of Bayesian probability model, the likelihood ratio and statistical model, at Janghung, Korea, using a Geographic Information System (GIS). Landslide locations were identified in the study area from interpretation of IRS satellite images, field surveys, and maps of the topography, soil type, forest cover, geology and land use were constructed to spatial database. The factors that influence landslide occurrence, such as slope, aspect and curvature of topography were calculated from the topographic database. Texture, material, drainage and effective soil thickness were extracted from the soil database, and type, diameter and density of forest were extracted from the forest database. Land use was classified from the Landsat TM image satellite image. As each factor's ratings, the likelihood ratio coefficient were overlaid for landslide susceptibility mapping, Then the landslide susceptibility map was verified and compared using the existing landslide location. The results can be used to reduce hazards associated with landslides management and to plan land use and construction.

• Journal of the Korean Society of Safety
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• v.31 no.1
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• pp.105-110
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• 2016

Mountainous disasters such as landslides and debris flow are difficult to forecast. Debris flow in particular often flows along the valley until it reaches the road or residential area, causing casualties and huge damages. In this study, the researchers selected Seoraksan National Park area located at Inje County (Inje-gun), Gangwon Province-where many mountainous disasters occur due to localized torrential downpours-for the damage reduction and cause analysis of the area experiencing frequent mountainous disasters every year. Then, the researchers conducted the field study and constructed geospatial information data by GIS method to analyze the characteristics of the disaster-occurring area. Also, to extract more precise geographic parameters, the researchers scanned debris flow triggering area through terrestrial LiDAR and constructed 3D geographical data. LiDAR geographical data was then compared with the existing numerical map to evaluate its precision and made the comparative analysis with the geographic data before and after the disaster occurrence. In the future, it will be utilized as basic data for risk analysis of mountainous disaster or disaster reduction measures through a fine-grid topographical map.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.17 no.3
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• pp.51-60
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• 2009

For the world's safest air traffic, safety-related areas through the large investment made in a sufficient safe level, but the airport's lack of safety management is concerned about the safety. Airside area is essential area for the flights, and activities of safe management in airside area is very important. Grafting of airside safety management and IT, importance of the safety and efficiency is growing. Advanced airports of world has applied GIS over 10 years ago, and through applying GIS, Airports GIS has been a specialized area. Therefore, this research is for geographic information standards and related laws, providing a guideline of regulations and standards for AIXM (Aeronautical Information Exchange Model), RTCA DO-272A (USER REQUIREMENTS FOR AERODROME MAPPING INFORMATION), FAA Advisory Circular 150/5300 -18A (General Guidance and Specifications for Submission of Aeronautical Survey to NGS: Field Data Collection and Geographic Information System Standards), and by analyzing aviation information and air map(notice "Civil Aviation Safety Authority No. 2009-1"), provide the direction of standardization for air map.