• Proceedings of the Korea Information Processing Society Conference
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• 2002.11c
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• pp.1911-1914
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• 2002

이 논문에서는 여러 가지 위상 관계 표현 방법을 바탕으로 3 차원 공간 객체들 간의 위상 관계를 여러 가지 방법으로 표현한다. 지리정보시스템 분야에서 공간 객체들 간의 위상 관계를 정의하는 것은 중요한 연구이다. 위상 관계를 표현하는 기존의 방법들은 2 차원 공간 객체를 대상으로 하고있다. 좀더 많은 공간 정보를 제공하기 위해, 3 차원 공간 데이터에 대한 위상 관계를 표현하고 정의한다. 또한, 4-intersection, 9-intersection, dimension extended, calculus-based 방법 등, 여러 연구에서 제시되었던 표현 방법을 사용하여 위상 관계를 정의한다.

• Spatial Information Research
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• v.21 no.1
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• pp.1-13
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• 2013

This paper describes a GIS framework for geo-semantic information retrieval in mobile computing environments. We built geographic ontologies of POI (point of interest) and weather information for use in the combination of semantic, spatial, and temporal functions in a fully integrated database. We also implemented a geo-semantic app for Android-based smartphones that can extract more appropriate POIs in terms of user contexts and geographic ontologies and can visualize the POIs using Google Maps API (application programming interface). The feasibility tests showed our geo-semantic app can provide pertinent POI information according to mobile user contexts such as location, time, schedule, and weather. We can discover a baking CVS (convenience store) in the test of bakery search and can find out a drive-in theater for a not rainy day, which are good examples of the geo-semantic query using semantic, spatial, and temporal functions. As future work, we should need ontology-based inference systems and the LOD (linked open data) of various ontologies for more advanced sharing of geographic knowledge.

• Journal of Korean Society for Geospatial Information Science
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• v.7 no.2 s.14
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• pp.81-91
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• 1999

The study on the updating of the database of Geo-Spatial Information System that is necessary condition to GSIS operation have executed actively. In this study, digital orthophotos were produced by using the product of digital photogrammetry process and then multiscale digital orthophoto maps were generated tv the concept of image pyramids. The produced digital orthophoto has 2.092 meters accuracy compared to 1:5,000 topographic map. This digital orthophoto can be implemented in various Geo-Spatial Information System, providing valuable spatial reference for other objects in the database.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.28 no.5
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• pp.515-522
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• 2010

With the development of information technology, the demand on digitalized space information is being largely expanded in our society. Especially, the recency securing of material as well as various policy alternatives like expansion on an application scope are being required in the spatial information utilization field, such as efficient use and management of the land, various spatial plans, environment and disaster management, etc. The present research aims to suggest an evaluation model by applying the system dynamics theory for dynamic analysis on utilization of this spatial information.

• Journal of the Korea Society of Computer and Information
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• v.21 no.7
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• pp.31-38
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• 2016

In this paper, we propose a direction for improving 'Geospatial information open platform' service to support the converged and integrated geospatial information. Since there can be a number of issues relating to the support for geospatial information convergence industry, two qualitative surveys were performed to collect opinions comprehensively and specifically. The responses from 165 experts from 5 areas that use geospatial information were used, and the requirements of demanders were divided into the aspect of policy, aspect of data development and distribution, and aspect of data utilization support in order to effectively analyze the survey results. As a result, a total of 26 major issues were derived and it was deemed that it is necessary to find a way to expand the role of 'Geospatial information open platform' from "Open-API Oriented Passive Spatial Information Open Platform" to "Platform that Comprehensively Provides Active Convergence Support Information" order to resolve the issues derived.

• Journal of Korean Society for Geospatial Information Science
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• v.25 no.1
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• pp.29-36
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• 2017

In this paper, we implement a spatial big data analysis prototype based on Spark which is an in-memory system and compares the performance by the spatial split algorithm on this basis. In cluster computing environments, big data is divided into blocks of a certain size order to balance the computing load of big data. Existing research showed that in the case of the Hadoop based spatial big data system, the split method by spatial is more effective than the general sequential split method. Hadoop based spatial data system stores raw data as it is in spatial-divided blocks. However, in the proposed Spark-based spatial analysis system, there is a difference that spatial data is converted into a memory data structure and stored in a spatial block for search efficiency. Therefore, in this paper, we propose an in-memory spatial big data prototype and a spatial split block storage method. Also, we compare the performance of existing spatial split algorithms in the proposed prototype. We presented an appropriate spatial split strategy with the Spark based big data system. In the experiment, we compared the query execution time of the spatial split algorithm, and confirmed that the BSP algorithm shows the best performance.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.31B no.8
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• pp.147-159
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• 1994

The performance of the improvement method of spatial resolution for satellite images based on the generalized inverse matrix is superior to the conventional methods. But, this method calculates the coefficient values for extracting the spatial information from the relation between a small pixel and large pixels. Accordingly it has the problem of remaining the blocky patterns at the result image. In this paper, a new generalized inverse matrix method is proposed which is different in the calculation method of coefficient values for extracting the spatial information. In this proposed metod, it calculates the coefficient values for extracting the spatial information from the relation between a small pixel and small pixels. Consequently it can improve the spatial resolution more efficiently without remaining the blocky patterns at the result image. The effectiveness of the proposed method is varified by simulation experiments with real TM image data.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.274-276
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• 2003

The traditional crop productivity simulations based on crop models are normally site-specific. To simulate regional crop productivity, the spatial crop model is developed in this study by integrating Geographical Information System (GIS) with Erosion Productivity Impact Calculator (EPIC) model. The integration applied a loose coupling approach. Data are exchanged using ASCII or binary data format between GIS and EPIC model without a common user interface. The spatial EPIC model is conducted to simulate the average corn and wheat productivity of 1980s in North China. The results show that the simulation accuracy of the spatial EPIC model is acceptable. The simulation accuracy can be improved by using the detailed crop management information, such as irrigation, fertilizer and tillage schedule.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.656-658
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• 2003

Recently, loosely-coupled systems are widely used for distributed computing environment. We develop a web GIS server who conforms to the international standards developed by the Open GIS Consortium (OGC), such as web feature service (WFS) implementation specification, Geography Markup Language (GML) implementation specification, and the simple features specification for OLE/COM. The web GIS server provides interoperable access of spatial data among data formats in the distributed environment.

• Journal of Intelligence and Information Systems
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• v.9 no.3
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• pp.99-115
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• 2003

In this paper, we present a knowledge-based object-oriented spatial database system called KOBOS. A knowledge-based approach is introduced to the object-oriented spatial database system for data modeling and approximate query answering. For handling the structure of spatial objects and the approximate spatial operators, we propose three levels of object-oriented data model: (1) a spatial shape model; (2) a spatial object model; (3) an internal description model. We use spatial type abstraction hierarchies(STAHs) to provide the range of the approximate spatial operators. We then propose SOQL, a spatial object-oriented query language. SOQL provides an integrated mechanism for the graphical display of spatial objects and the retrieval of spatial and aspatial objects. To support an efficient hybrid query evaluation, we use the top-down spatial query processing method.