• 농촌계획
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• 제16권4호
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• pp.61-75
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• 2010

Daily living area can be delimited differently depending on what area is to be focused. Based on regional interaction, the present study empirically analyzed the difference between living areas focusing on rural area and ones relying on urban area. We established two types of living areas in Busan-Ulsan mega city with different focus areas (rural versus urban), using travel OD data (2006). According to the result, the fonn of spatial clusters in urban living area differed from that of spatial clusters in rural area; the boundaries of living area were not fit to those of administrative areas in both types; and living areas in both types tended to extend over more than two administrative areas. The results cast some implications concerning spatial planning and policy for living area delimitation. First, since the spatial structure and interconnection of urban area differs to those of rural area, it is required to delimit living areas discriminatively depending on the objectives of the spatial plan. Additionally, the living area should be established more specifically and systematically by further subdividing the form of spaces depending on the objectives and types of the plan. Second, the administrative areas should be consolidated now that the difference of boundaries of administrative and living areas lead to inconvenience of residents, increased administration costs and scale diseconomy. Lastly, the living areas should be delimited by the metropolitan or mega city planning and thus be reflected to its offsprings.

• 토지주택연구
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• 제13권3호
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• pp.69-81
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• 2022

무계획적 토지이용 즉, 난개발은 다양한 부정적 외부효과를 초래한다. 우리나라는 과거 도시지역과 비도시지역 경계를 중심으로 난개발로 인한 상당한 사회경제적 비용을 경험한 바 있다. 무계획적 토지이용은 다양한 요인의 상호작용 결과로 볼 수 있다. 따라서 무계획적 토지이용이 집중적으로 발생하는 지역을 중심으로 난개발로 인한 부정적 외부효과가 지속되지 않도록 법·제도적 조치를 강화할 필요가 있다. 이 연구에서는 무계획적 토지이용이 집중된 공간 군집지역을 효과적으로 찾아내는 탐색하기 위한 공간분석 방법론을 제시한다. 이를 아산시에서 발생한 개별 개발행위에 실증·적용하여 난개발 발생지역을 찾아내고, 지자체 수준에서 중장기 성장관리전략을 수립할 때 의사결정 지원정보로서 활용성을 살펴본다.

• 한국IT서비스학회지
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• 제22권2호
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• pp.1-21
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• 2023

Due to the convergence and complexity of the 4th Industrial Revolution, the boundaries between industries have become unclear and ambiguous. Consequently, there is a lack of research on how firms engaged in this industry are changing their location behavior. Recently, some attempts to classify the industrial groups of the 4th Industrial Revolution and their detail occupations have been made, and this study adopts the classification of Lee and Jung (2020) of the Korea Institute for Industrial Economics & Trade. In this study, the 18 detailed industries commonly included in multiple industrial groups are defined as 'core industries' and are classified into manufacturing and service industries to explore the spatial patterns of firms' location. Specifically, this study aims to examine how the location behavior of firms in core industries of the 4th Industrial Revolution has changed from 2010 to 2019 in the Seoul metropolitan area, using the 「National Business Survey」 data. We employed two methods based on spatial auto-correlation: (i) spatial kernel density estimation analysis and (ii) local Moran's I_i analysis. The results indicate that the core industry firms form more distinct and larger clusters in 2019 based on the clusters formed in 2010. Specifically, manufacturing industry firms tended to concentrate in the southern region of Gyeonggi and parts of Seoul, while serivce industry firms were more concentrated in Seoul. These core industries play a critical role in industries and are closely related to the ICT industries, which generate high-added value and increase productivity in the front and rear industries. This study reveals that the agglomeration of these industries in specific regions is intensifying and may exacerbate regional inequality.

• 천문학회보
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• 제38권2호
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• pp.73.1-73.1
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• 2013

It is believed that the current census of star clusters in the Milky Way is far from being complete, because of high extinction. Taking advantage of recent wide-field infrared surveys (the WISE as well as 2MASS, UKIDSS GPS, and VVV), we search for new star clusters in the central region of the Milky Way (720 $deg^2$-wide area at |1| < $30^{\circ}$ and |b| < $6^{\circ}$). We find 1840 candidates by visual inspection of the WISE images. The spatial distribution of these candidates show a strong concentration along the Milky Way, showing that most of them belong to the Milky Way. Among them, 26 are probably star clusters, considering their morphology, color-magnitude diagrams, and the degree of central concentration of stars. Eighteen of them appear to be very young in the embedded phase, and six of them are considered to be relatively old, showing a developed red giant branch. Implications of the primary results will be discussed.

• 천문학회보
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• 제37권2호
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• pp.72.2-72.2
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• 2012

We analyzed the properties of shock waves in galaxy clusters, by using the data of simulations for the large-scale structure of the universe with the spatial resolution of up to 25 kpc/h. In a substantial fraction of clusters, we found that strong shocks with Mach number of several or larger exist in outskirts within the virial radius. They are produced by the accretion of warm gas flowing from filaments to clusters, and generate large cosmic-ray fluxes. The cosmic rays advect into cluster cores, but may temporally induce the population inversion, that is, larger population at larger radius, suggested by recent radio and ${\gamma}$-ray observations.

• 농촌계획
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• 제16권1호
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• pp.9-20
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• 2010

The aim of this paper is to identify Korean agricultural and agri-manufacturing cluster using a multi-regional input-output model. This paper derives a representative set of five agricultural and agri-manufacturing clusters in Korea in terms of spatial and industrial interdependency. The results show that agriculture and agri-manufacturing clusters agglomerated in Seoul Metropolitan Area and Chungcheong Area are linked both production and manufacture functions, whereas Gangwon Area is more focused on production and Jeolla Area is more concentrated on manufacture.

• 천문학회보
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• 제44권2호
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• pp.38.1-38.1
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• 2019

The formation and evolution of galaxies is known to be fundamentally linked to the local environment in which they reside. In the highest-density cluster environments, galaxies tend to be more massive, have lower star formation rates and dust content, and a higher fraction have elliptical morphologies. The stellar populations of these cluster galaxies are older implying that they formed the bulk of their stars much earlier and have since evolved passively. Quantifying the specific environmental factors that contribute to shaping cluster galaxies over the Hubble time and measuring their early evolution can only be accomplished by directly tracing the galaxy growth in young clusters and forming porto-clusters. In this talk, I will present a novel technique designed to map out the total dust obscured star formation relative to where existing stars lie. I will demonstrate that this technique can be used 1) to determine if/where/when the activity is heightened or suppressed in dense cluster environment; 2) to measure the total mass and spatial distribution of stellar populations; and 3) to better inform theoretical models. Our ongoing work to extend this analysis out to protoclusters (z~2-4) will be discussed.

• 한국공간정보시스템학회 논문지
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• 제7권3호
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• pp.119-130
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• 2005

공간 데이터 웨어하우스는 공간정보를 주제 중심적이고 통합적이며 시간성을 가지는 비 휘발성 자료로 저장하여 의사결정을 효율적으로 지원하는 시스템이다. 이 시스템은 구축기와 공간 데이터 웨어하우스 서버로 구성되어 있다. 공간 데이터 웨어하우스 서버는 구축기에서 전송된 데이터를 적재하기 위해 사용자 서비스를 정지하고, 사용자의 빠른 응답시간을 위해 적재된 데이터로 색인을 구축한다. 색인 구축을 위한 기존 기법에는 벌크 삽입 기법과 색인 전송 기법이 있다. 벌크 삽입 기법은 색인을 구축하기 위한 클러스터링 비용이 크며 검색 성능도 떨어진다. 색인 전송 기법은 주기적인 소스 데이터의 변경을 지원하지 않는 문제점이 있다. 본 논문에서는 공간 데이터 웨어하우스에서의 부분 색인을 이용한 효율적인 색인 재구축 기법을 제안한다. 제안 기법은 부분 색인을 직접 전송, 기록하며 물리적 위치 정보를 예상하여 기록할 수 있는 효율적인 색인 재구축 기법이다. 구축기에서 추출된 데이터를 공간의 근접도가 아닌 색인의 구조에 맞게 클러스터링하며, 생성된 각 클러스터를 부분 색인으로 구성하여 페이지 단위로 전송한다. 공간 데이터 웨어하우스 서버에서는 전송된 부분 색인을 저장하기 위해 물리적으로 연속된 공간을 예약하고 예약된 공간에 부분 색인을 기록한다. 기록된 부분 색인을 공간 데이터 웨어하우스 서버의 기 구축된 색인에 삽입함으로써 색인 재구축을 위한 검색, 분할, 재조정 비용이 최소화된다.

• 대한지리학회지
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• 제39권3호
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• pp.457-472
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• 2004

본 연구의 목적은 GIS와 공간 데이터마이닝 방법을 이용하여 교통사고의 공간적 패턴을 살펴보고 이웃한 공간 객체와의 공간적 연관성을 탐색하는 것이다. 이를 위하여 서울시 강남구 교통사고 데이터를 이용하여 공간적 경향 분석, 군집 분석 및 군집의 특성 기술, 이웃한 공간 객체와의 연관 분석을 실시하였다. 그 결과, 강남구의 교통사고는 특징적인 4개의 군집 유형을 통해 분류될 수 있으며, 각 군집별로 차별적인 특성들을 보여주고 있다. 또한, 교통사고의 발생 위치와 이웃한 공간 객체들과의 연관성에서는 공간 객체들의 개념수준이나 공간적 관계의 수준에 따라 다양한 규칙들이 발견되었다. 이러한 규칙들은 모두가 유의미하거나 흥미로울 수는 없지만, 맥락에 따라 다양하게 해석될 수 있으며, 보다 심화된 인구를 위한 새로운 가설들로 사용될 수 있을 것이다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제10권1호
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• pp.89-93
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• 2010

In this paper a new fuzzy clustering approach to the color clustering problem has been proposed. To deal with the limitations of the traditional FCM algorithm, we propose a spatial homogeneity-based FCM algorithm. Moreover, the cluster validity index is employed to automatically determine the number of clusters for a given image. We refer to this method as VS-FCM algorithm. The effectiveness of the proposed method is demonstrated through various clustering examples.