• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2013.06a
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• pp.315-316
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• 2013

전자해도를 시스템에 사용하기 적합하게 변환한 구조를 SENC(System Electronic Navigational Chart)라고 한다. SENC의 구조는 전자해도 표출에 필요한 각종 공간질의, 속성질의 등의 처리, 개체 속성정보의 관리, 그리고 개체의 화면표출을 위한 정보 관리가 용이하도록 정의되어야 한다. 현재 대부분의 SENC는 파일기반으로 구현되어, SENC를 활용하는 시스템에서는 SENC의 정보들을 처리하기 위한 질의를 시스템 내에서 정의하고 처리하여야 한다. SENC를 파일이 아닌 검증된 Spatial DBMS에 구현하여 SENC가 갖추어야 할 각종 정보 관리 및 처리 기능 구현 시, 시스템의 신뢰성과 유연성에 이점을 가져올 수 있다. 본 논문에서는 기본적인 전자해도 정보 관리 및 표출에 필요한 SENC의 특성을 고려하여 Spatial DBMS를 이용하는 SENC 설계를 연구하였다.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2008.10a
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• pp.305-306
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• 2008

• Spatial Information Research
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• v.18 no.4
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• pp.141-149
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• 2010

One of recent trends in Web-based GIS is the system development using FOSS (Free and Open Source Software). Open Source software is independent from the technologies of commercial software and can increase the reusability and extensibility of existing systems. In this study, we developed a Web-based GIS for interactive visualization of geographic information using Google Earth and spatial DBMS(database management system). Google Earth Plug-in and Google Earth API(application programming interface) were used to embed a geo-browser in the Web browser. In order to integrate the Google Earth with a spatial DBMS, we implemented a KML(Keyhole Markup Language) generator for transmitting server-side data according to user's query and converting the data to a variety of KML for geovisualization on the Web. Our prototype system was tested using time-series of LAI(leaf area index), forest map, and crop yield statistics. The demonstration included the geovisualization of raster and vector data in the form of an animated map and a 3-D choropleth map. We anticipate our KML generator and system framework will be extended to a more comprehensive geospatial analysis system on the Web.

• Journal of the Korean Association of Geographic Information Studies
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• v.9 no.4
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• pp.60-70
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• 2006

National atlas map for provide various information is one part of National territorial Statatics Survey but National atlas map in 2004 year don't have stability and ability. National territorial Statatics Survey in 2005 years have octuple data compare with data in 2004 years but have only one map. One map is going to provide with stability and ability. We don't use DBMS, But We make a similarly struct in file based program. We programmed system of dynamic-linked data with spatial data. To dynamic-linked system, we make search engine to based index struct and make combobox search system. spatial data only have index codes(year, national terrial indicator, area). If spatial data request specfied data, search engine search index code and provide DB data. New system is middle step of using DBMS. We redraw map for display real Korea area (with dokdo). New map is shape and similar Korea map.

• Journal of Korea Spatial Information System Society
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• v.9 no.2
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• pp.1-11
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• 2007

Recently, with the development of collecting methods of spatial data, the spatial data is produced, circulated, and used in various fields of industry and research. To manage the mass spatial data efficiently, the researches on extension of the existing commercial DBMS, such as ESRI's ArcSDE or Oracle's Oracle Spatial, is making progress actively. However, the usage of the extension of the commercial DBMS Incurs an additional expense and causes an interoperability problem due to differences in spatial data types and spatial operators. Therefore, in this paper, we developed an OpenGIS Spatial Interface for Oracle, which supports a standard interface by fellowing the "Simple Features Specification for SQL" proposed by OGC(Open Geospatial Consortium). Since the OpenGIS Spatial Interface provides all spatial data types and spatial operators proposed in "Simple Features Specification for SQL", users can manage mass spatial data of Oracle efficiently by using the standard interface without additional expense. In addition, we proved that the OpenGIS Spatial Interface is superior to the Oracle Spatial in the response time through the performance evaluation.

• 한국공간정보시스템학회:학술대회논문집
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• 1998.07a
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• pp.157-171
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• 1998

• Journal of Industrial Technology
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• v.29 no.B
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• pp.151-155
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• 2009

In this paper, we implement a spatial data management system which is based on GIS technology. GIS technology is tightly related with spatial information and will be important method for future information-oriented society. The implemented system collects and manages spatial data. In the implementation, we use PostgreSQL DBMS. We also implement magnification, reduction, movement and search functions in the system.

• Journal of KIISE:Databases
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• v.29 no.5
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• pp.393-403
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• 2002

One of the major issues of DBMS is the buffer management. Because fetching data from the database disk is costly, the number of disk I/O's must be minimized in order to improve the DBMS performance. Although there have been many buffer management strategies to minimize the disk I/O, those strategies usually focused on just the temporal locality. Since there are the spatial locality as well as the temporal locality in the spatial database, strategies using only the temporal locality cannot achieve the optimal performance in the spatial database. In this paper, we propose a new buffer management strategy, the Spatial Locality Area Measure(SLAM) strategy, that considers not only the temporal locality but also the spatial locality. The SLAM buffer management strategy consists of two core structures, the SLM-tree and the M-LRU. We show the efficiency of the proposed strategy through experiments over various buffer sizes and reference frequencies.

• Journal of Korea Spatial Information System Society
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• v.9 no.2
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• pp.13-23
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• 2007

Recently there is growing Interest in LBS(Location Based Service) requiring real-time services and the spatial main memory DBMS for efficient Telematics services. In order to optimize existing disk-based multi-dimensional Indexes of the spatial main memory DBMS in the main memory, multi-dimensional index structures have been proposed, which minimize failures in cache access by reducing the entry size. However, because the reduction of entry size requires compression based on the MBR of the parent node or the removal of redundant MBR, the cost of MBR reconstruction increases in index update and the efficiency of search is lowered in index search. Thus, to reduce the cost of MBR reconstruction, this paper proposed the RSMBR(Relative-Sized MBR) compression technique, which applies the base point of compression differently in case of broad distribution and narrow distribution. In case of broad distribution, compression is made based on the left-bottom point of the extended MBR of the parent node, and in case of narrow distribution, the whole MBR is divided into cells of the same size and compression is made based on the left-bottom point of each cell. In addition, MBR was compressed using a relative coordinate and size to reduce the cost of search in index search. Lastly, we evaluated the performance of the proposed RSMBR compression technique using real data, and proved its superiority.

• Journal of Korea Spatial Information System Society
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• v.8 no.1 s.16
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• pp.1-16
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• 2006

Recently, human based computing environment for supporting users to concentrate only user task without sensing other changes from users is being progressively researched and developed. But middleware deletes steream data processed for reducing process load of massive information from RFID sensor in this computing. So, this kind of middleware have problems when user demands probability or statistics needed for data warehousing or data mining and when user demands very important stream data repeatedly but already discarded in the middleware every former time. In this paper, we designs Sensor Middleware Architecture on Multi Level Spatial DBMS with Snapshot and manage repeatedly required stream datas to solve reusing problems of historical stream data in current middleware. This system uses disk databse that manages historical stream datas filtered in middleware for requiring services using historical stream information as data mining or data warehousing from user, and uses memory database that mamages highly reuseable data as a snapshot when stream data storaged in disk database has high reuse frequency from user. For the more, this system processes memory database management policy in a cycle to maintain high reusement and rapid service for users. Our paper system solves problems of repeated requirement of stream datas, or a policy decision service using historical stream data of current middleware. Also offers variant and rapid data services maintaining high data reusement of main memory snapshot datas.