• Journal of the Korean Geographical Society
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• v.42 no.2 s.119
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• pp.177-195
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• 2007

The central aim of this paper is to identify the distributional pattern of poverty and to investigate the spatial relationship between poverty and welfare service providers in Busan, Korea. It is intended to explain how the relationship of service-dependency between impoverished people and social welfare services leads to uneven social geography. Welfare services controlled by public or private agencies may support the impoverished people in different ways, generating social outcomes. By exploiting the spatial variations in the incidence of poverty and the provisions of social welfare services, this paper is to understand the dynamics of the geography of poverty from a local scale so that it can help us understand how various governmental and nongovernmental area-based service providers are spatially uneven when they are compared to the distribution of service dependency group such as impoverished people. From this research, it is finally argued that the implications of locational interdependence between such needed groups and social welfare services for their support demand a paradigm for urban social geography that centers on the changing welfare provision structure and the linkages between population and service-provision.

• Journal of KIISE:Databases
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• v.31 no.4
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• pp.362-372
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• 2004

One of the most difficult problems in building a distributed GIS lies in the heterogeneity of spatial databases. In particular, positional mismatches between spatial databases, which arise due to several reasons, may incur incorrect query results. They result in unreliable outputs of query processing. One simple solution is to correct positional data in spatial databases at each site, according to the most accurate one. This solution is however not practical in cases where the autonomy of each database should be respected. In this paper, we propose a spatial query processing method without correcting positional data in each spatial database. Instead of correcting positional data, we dynamically transform a given query region or position onto each space where spatial objects of each site are located. Our proposed method is based on an elastic transformation method by using delaunay triangulation. Accuracy of this method is proved mathematically, and is confirmed by an experiment. Moreover, we implemented using common use database system for usefulness verification of this method.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2009.04a
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• pp.257-258
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• 2009

캠퍼스의 공간은 대학을 이루는 주요한 물적 자원 이며, 제한된 공간을 효율적으로 활용하기 위해서 공간사용현황을 파악하는 것은 중요하다. 다른 공간정보시스템은 공간데이터와 속성데이터의 불일치로 인한 문제점이 발생할 수 있는 여지가 있다. 이를 근본적으로 해결하기 위해서 본 연구에서는 공간 DBMS를 활용해서 캠퍼스 공간정보 시스템을 제안한다.

• Journal of the Korean Regional Science Association
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• v.32 no.1
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• pp.67-82
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• 2016

This study aims to test the spatial mismatch hypothesis by exploring the relationship between income and commuting time in Seoul, Korea. For this purpose, we analyze the commuting times of individuals who commute to Seoul, using the data for the metropolitan household survey. We employed a hierarchial linear model(HLM) to capture the effects of both individual attributes and regional attributes, and their interactions. The results show that the commuting time decreases with household income controlling for the regional attributes, and the effect of income increases with the housing price of the location of a commuter's firm. This implies that the spatial mismatch holds for Seoul as follows: Lower personal income and housing affordablility extend individuals' commuting times, and the destinations' characteristics such as housing type and land use also have impacts on commuting time. These results have some policy implications for achieving social equity in terms of spatial structure of the city.

• Korean journal of communication and information
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• v.39
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• pp.102-139
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• 2007

This research studied how political online discussion participation and experiencing opinion disagreement during the discussion affect on civic attitudes(interpersonal trust and reciprocity) and civic participation through pretest-posttest control group experimental treatment. For results, first of all, online political discussion positively affects on civic attitude of participants, but it's effect was partial. Next, experiencing opinion disagreement can help to have rather improving civic attitude than reducing civic attitude. Finally, civic attitude consists of interpersonal trust and reciprocity acquired from online discussion also partially and positively affects on civic participation which is more affected by reciprocity than interpersonal trust. Regard to these effect of online discussion, civic attitude can be extended by participating political communication(discussion), and participating communicative associations lead to encourage civic attitude of them and function to reinforce social integration and social ties.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2004.03a
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• pp.235-240
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• 2004

Time Delay and Integration (TDI) 기법을 사용하는 고해상도 위성 영상기에 있어서 실제 위성 운영시 발생하는 위성 고도의 순간적 변화에 대한 TDI 일치를 연구하였다. 시간에 따라 변하는 순간 고도의 특성을 분석하였고 순간 고도 변화가 TDI 불일치를 초래하여 위성 영상 기기의 성능에 미치는 영향을 분석하였다. TDI 시간 지연을 조절하여 실제 위성 운영에서 순간적으로 발생하는 TDI 불일치를 보정하고 성능을 향상시킬 수 있는 가능성을 연구하였다. 본 연구 결과는 위성 영상 품질 향상에 활용될 수 있다.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2010.04a
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• pp.15-17
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• 2010

인터넷이나 모바일 기기를 이용한 지도 서비스를 이용하는 사용자가 많아지고 그에 따라 다양한 형태의 서비스가 제공되고 있어 이를 위한 자료 구축의 필요성이 커지고 있다. 이종의 자료를 Conflation하여 직관적으로 사용자가 공간정보를 얻을 수 있게 하기 위해서는 자료 간에 공간 편이가 없어야 하나 다양한 원인으로 인해 공간 불일치가 발생하고 있어 이를 조정하는 것이 필요하다. 이를 위해서 도로의 교차로에서 템플릿을 형성하고 도로 후보영상과 매칭을 수행하여 자료간 조정을 수행하였다.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.35 no.3
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• pp.125-132
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• 2017

Even after applying an image registration, Very High Resolution (VHR) multi-temporal images acquired from different optical satellite sensors such as IKONOS, QuickBird, and Kompsat-2 show a local misalignment due to dissimilarities in sensor properties and acquisition conditions. As the local misalignment, also referred to as Registration Noise (RN), is likely to have a negative impact on multi-temporal information extraction, detecting and reducing the RN can improve the multi-temporal image processing performance. In this paper, an approach to fine registration between VHR multi-temporal images by considering local distribution of RN is proposed. Since the dominant RN mainly exists along boundaries of objects, we use edge information in high frequency regions to identify it. In order to validate the proposed approach, datasets are built from VHR multi-temporal images acquired by optical satellite sensors. Both qualitative and quantitative assessments confirm the effectiveness of the proposed RN-based fine registration approach compared to the manual registration.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.36S no.2
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• pp.81-87
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• 1999

In this research, we propose a field mismatch compensation method for interlaced scan image and a image restoration technique for removing motion blur. In order to compensate field mismatch, the edge classification-based linear interpolation technique and the method using the object-based motion compensation are described. We also propose an edge estimation method and an motion-based image segmentation algorithm. For removing motion blur, we adopt an adaptive iterative image restoration method using the motion-based segmentation result to improve the quality of restored image.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.04a
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• pp.769-772
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• 2014

Jeopardy 퀴즈쇼와 같은 DeepQA 환경에서 인간을 대신해 컴퓨터가 효과적으로 답하기 위해서는 인물, 지리, 사건, 역사 등을 포함하는 광범위한 지식베이스와 이를 토대로 한 빠른 시공간 추론 능력이 필요하다. 본 논문에서는 대표적인 병렬 분산 컴퓨팅 환경인 하둡/맵리듀스 프레임워크를 이용하여 방향 및 위상 관계를 추론하는 효율적인 대용량의 공간 추론 알고리즘을 제시한다. 본 알고리즘에서는 하둡/맵리듀스 프레임워크의 특성을 고려하여 병렬 분산처리의 효과를 높이기 위해, 지식 분할 문제를 맵 단계에서 해결하고, 이것을 토대로 리듀스 단계에서 효과적으로 새로운 공간 지식을 유도하도록 설계하였다. 또한, 본 알고리즘은 초기 공간 지식베이스로부터 새로운 지식을 유도할 수 있는 기능뿐만 아니라 초기 공간 지식베이스의 불일치성도 미연에 감지함으로써 불필요한 지식 유도 작업을 계속하지 않도록 설계하였다. 본 연구에서는 하둡/맵리듀스 프레임워크로 구현한 대용량 공간 추론기와 샘플공간 지식베이스를 이용하여 성능 분석 실험을 수행하였고, 이를 통해 본 논문에서 제시한 공간 추론 알고리즘과 공간 추론기의 높은 성능을 확인 할 수 있었다.