• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.11
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• pp.2261-2270
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• 2015

GIS(Geographic Information System) based Positioning technique uses geographic information to predict which satellites are visible or invisible. GPS positioning has poor positioning accuracy in dense urban area where tall buildings block the satellite signals. In this paper, we proposed GIS based Advanced Positioning technique of Mobile GPS to resolve this problem. Particularly, this technique improves positioning accuracy in dense urban area. It is consist of ephemeris and GIS server. We will inversely estimate pseudorange by using NMEA-0183 output data of mobile GPS. After that, we can find more accurate position by using ephemeris and GIS information.

• Proceedings of the Korean Information Science Society Conference
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• 2006.10c
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• pp.177-182
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• 2006

최근 무선 통신 구조가 확산대면서, 모바일 기기와 다양한 모바일 GIS 서비스가 일반화되었다. 그래서 모바일 기기에서 효과적으로 GIS 자료들을 검색할 수 있는 모바일용 GIS DBMS가 필요하다. 물론 모바일 GIS DBMS는 환경적 제약사항과 GIS 자료들의 특성들을 극복하기 위한 대량삽입 기법이 필요하며 이 기법은 모바일 GIS DBMS를 개발하는데 있어서 가장 중요하다. 이 제약사항은 낮은 대역폭, 작은 저장공간 그리고 비공간 데이터 보다 상대적으로 매우 큰 공간 데이터의 특징을 포함한다. OBO기법을 이용하는 GIS DBMS로의 데이터의 삽입은 차례대로 삽입된다. 그러나 대부분의 공간데이터들은 전송비용과 긴 로딩시간으로 인해 서비스를 지연시키기 때문에 공간 인덱스를 기반으로 하는 대량삽입을 선택한다. 본 논문에서는 높은 성능과 안전성을 가진 동적인 공간 인덱스 R*-tree을 이용하는 대량 삽입 기법을 제공한다.

• 한국방재학회:학술대회논문집
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• 2007.02a
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• pp.344-348
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• 2007

This study was made a process of earth work amount and earth work transfer etc. This research uses DAS S/W and GIS S/W, comparison and analyze. DAS S/W is a program develop in Korea land corporation. This purpose of this study is presenting a method that at it, can calculate detailed earth work. Also, apply GIS method to DAS S/W using earth work calculation data. when GIS analysis method applied. it can improve the accuracy of earth work calculate method and earth work model's efficiency.

• Journal of Korean Society for Geospatial Information Science
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• v.1 no.2 s.2
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• pp.113-129
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• 1993

The technique of GIS has been used in diverse applications. This study analyzed with the use of GIS technique how the branch-banks of Taegu undergone locational changes. Locational changes of the branch-banks in a city have great significance in such disciplines as urban geography and urban planning. The location of the blanch-bank plays a major role in the urban study to represent the flow of layer-by and producer under the commodity economy and find spatially out the shift of the economy gravity of urban center. But there have difficulties in the difficulties research on locational changes of the branch-bank with traditional map overlay techniques. The technique of GIS allowed to overcome there difficulties beyond the limits of traditional research methods.

• Proceedings of the Korea Contents Association Conference
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• 2018.05a
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• pp.121-122
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• 2018

본 연구는 GIS기법, GPS기법을 이용하여 천안시 내의 자전거도로 최적노선을 선정하고 문제점 제안에 관한 것이다. 연구에서 자전거도로 최적노선을 위한 물리적, 사회적, 환경적 등 다양한 측면의 조건과 제안 요소들을 복합적으로 분석하여 문제점을 제시하고 GIS, GPS기법을 이용해 데이터값을 표출하여 해당 지역을 비교 분석하였다. 연구결과 편의성, 안전성, 접근성을 고려한 자전거도로의 노선을 제안하였으며천안시 자전거도로의 안전성을 높이고 효율적인 자전거 이용 환경을 구축할 수 있을 것을 기대한다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.8 no.1
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• pp.150-157
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• 2004

For the mobile GIS services, it is not acceptable to construct a new map database only for wireless service due to vast cost. But the existing map database cannot be used directly for the services due to narrow wireless bandwidth and shortage of mobile device resources. This thesis proposes spatial data simplification methods, thus, the existing map database enable the mobile GIS services. The proposing methods are based on the existing map generalization techniques. We extend it to mobile environments, and implement. This thesis also includes the issue of discriminative data simplification technique according to display level and map display interface suitable for mobile devices. Research results an estimated by experiments.

• Spatial Information Research
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• v.18 no.3
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• pp.41-52
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• 2010

This paper analyzed the interregional flow changes of software (SW) industries using a GIS Flow Map. Employment data for SW enterprise headquarters from 1999 until 2008 were constructed according to the Origin-Destination Matrix, and were mapped and analyzed using the Flow Mapper and ArcGIS Flow Data Model. From the result we can identify the decentralization of interregional flow in SW industries and recognize the possibilities of the larger SW enterprises' employment, the higher locational footlooseness. The GIS Flow Map was identified as useful tool for researching growth, decline and spatial movement of industrial clusters that experience business relocation. This method can be applied to understand and visualize urban spatial changes.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2004.03a
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• pp.23-29
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• 2004

GIS 관련 산업이 발전함에 따라, 공간 데이터의 상호 운용성이라는 문제가 제기되었다. 현재, 이러한 문제점을 해결하기 위해 OGC는 공간 데이터 및 GIS에 대한 국제적인 표준을 제시하고 있다. 본 연구에서는 OGC의 Simple Features for OLE/COM 표준 사양을 준수하는 GIS 데이터제공자를 구현하여 기존의 공간 데이터베이스와 Geometry 컴포넌트간 공간 데이터에 대한 상호 운용성을 확인하고자 한다. 더 나아가 공간 데이터베이스와 Geometry 컴포넌트로 이루어지는 GIS S/W 시스템 성능 향상을 위한 GIS 데이터제공자 기반의 버퍼관리기법에 대한 설계 및 구현을 하고, 이에 대한 성능 테스트를 하고자 한다. 또한, GIS 데이터제공자 및 버퍼관리기법을 구현하여 앞으로 GIS 데이터제공자 기반의 황용 방안을 제시하고자 한다.

• Journal of the Korean Geographical Society
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• v.43 no.5
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• pp.761-774
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• 2008

Integration of GIS data and human expert knowledge into digital image processing has long been acknowledged as a necessity to improve remote sensing image analysis. We propose inductive machine learning algorithm for GIS data integration and rule-based classification method for land cover classification. Proposed method is tested with a land cover classification of a Landsat ETM+ multispectral image and GIS data layers including elevation, aspect, slope, distance to water bodies, distance to road network, and population density. Decision trees and production rules for land cover classification are generated by C5.0 inductive machine learning algorithm with 350 stratified random point samples. Production rules are used for land cover classification integrated with unsupervised ISODATA classification. Result shows that GIS data layers such as elevation, distance to water bodies and population density can be effectively integrated for rule-based image classification. Intuitive production rules generated by inductive machine learning are easy to understand. Proposed method demonstrates how various GIS data layers can be integrated with remotely sensed imagery in a framework of knowledge base construction to improve land cover classification.

• Journal of Korea Water Resources Association
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• v.36 no.4
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• pp.633-645
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• 2003

The techniques of GIS and remote sensing are being applied to hydrology, geomorphology and various field of studies are performed by many researcher, related those techniques. In this paper, curve number change detection is tested according to soil map and land cover in mountain area. Neural networks method is applied for land cover classification and GIS for curve number calculation. The first, sample area are selected and tested land cover classification, NN(84.1％) is superior to MLC(80.9％). So we selected NN with land cover classifier. The second, curve number from the land cover by neural network classifier(57) is compared with that(curve number) from the land cover by manual work(55). Two values are so similar. The third, curve number classified by NN in sample area was applied and tested to whole study area. As results of this study, it is shown that curve number is more exact and efficient by using NN and GIS technique than by (using) manual work.