• 교육시설
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• 제10권3호
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• pp.37-43
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• 2003

This study investigates the physical characteristics of indoor rest zones using the Space Syntax Method. A conceptual framework is based on analysis of design works presented in competitions(544 rest zones of 24 buildings on 7 campuses). The analysis on the unit type of rest zones showed that they were mostly available as open type, followed by semi-open type and outdoor rest places. On the other hand, by classifying the shape of whole building into traffic lines and nodal points, it was found that the buildings with 3 or more traffic lines have lower availability than others, because the buildings required more nodal points along a little higher complexity and zoning formed at increased nodal points between building masses. The analysis on the location of rest zones on traffic lines showed that hall type was most excellent in the level of availability. Finally, the analysis on the floor height showed that hall-like open rest places and outdoor places like rooftop garden functioned as a factor to enhance the integration of different spaces. In conclusion, this research will help the follow-up studies make spatial creation planning that may enhance the spatial efficiency and availability of Indoor rest zones on the campus.

• 한국주거학회논문집
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• 제22권2호
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• pp.101-109
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• 2011

Until now, several comparative approaches were developed within the studies of Korean, Chinese, and Japanese traditional housings. In those studies, however, each space in the traditional houses was only treated in individual and fragmentary manners, and they lacked the interpretation of the topological attribute of each space within a holistic structure organized by unit spaces, and of the cultural-behavioral meaning of them within a holistic space-use pattern of the housing. The topological attribute and behavioral meaning can be analyzed and interpreted with the quantitative spatial analysis method such as Space Syntax. This study aims to analyze the traditional housings in Korea, China and Japan in the holistic aspect of spatial structure using Space Syntax, and to compare the analysis results with relating the structural attributes to the space-use pattern. In this study, the 'Banga' in Chosun era, the 'Siheyuan' in Ming-Ching era, and the 'Shoinzukuri' in Edo era were selected as the analysis subjects. The integration indices were calculated from the convex maps representing the subjects, and the common and different attributes of the three subjects were defined through comparative analyses.

• 한국실내디자인학회논문집
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• 제16권3호
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• pp.66-75
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• 2007

In this study, by comparing the development and the space types of local and foreign flexible apartments, basic data will be derived for the development of various flexible types of apartments in Korea. A total of 60 unit plans, including 30 domestic cases and 30 overseas cases of flexible apartments, are analyzed for this study. In terms of the unit plan types, Korean apartments usually had a wide front bay with shallow depth, placing more rooms on the front bay; whereas foreign apartments tend to have various unit plan types: (1) a narrow front bay with deep depth, (2) a wide front bay with shallow depth, and (3) variegated open-plan types. Many apartments in foreign countries had a double-layered structure with the. upstairs and downstairs areas. In terms of the flexible types, many Korean apartments achieved interior flexibility using non-bearing wall or sliding doors; whereas foreign apartments had a flexible space by separating the support elements and the infill elements. There was found to be a close relationship between the location of support elements and the variability of unit plans. Support elements can be placed largely into three locations: (1) Between the front side bay and the rear side bay, (2) in the center bay of a unit plan, and (3) others. Depending on the location of support elements, various types of flexible unit plans can be created. Through a comparative analysis of domestic and foreign apartments, basic data that can be used for developing various flexible unit plans was derived.

• 대한조선학회논문집
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• 제55권1호
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• pp.9-21
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• 2018

Survivability of naval vessels is defined as the ability to perform functions and missions in a combat environment. Survivability has close relationship with the spatial layout of naval vessels. In order to maximize survivability, it must be considered from the early stage of design. However the existing concept of survivability was intended to be applied to unit vessels. So it was not suitable for assessment of spatial layout results at the early stage of design. In this paper, a simplified assessment method which can evaluate the spatial layout considering the survivability in the early stage of design has been proposed. For this, assessment layers were defined on survivability components such as susceptibility, vulnerability, and recoverability. Assessment layers of each component were overlapped to deduce a survivability layer of spatial layout alternatives. In addition, the proposed method and optimization algorithm were used to derive optimal spatial layout alternatives considering survivability.

• 보건행정학회지
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• 제23권4호
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• pp.387-396
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• 2013

Background: The purpose of this study was to analyze the association between areas of Korea Train Express (KTX) region and external medical service use in Korean society using spatial statistical model. Methods: The data which was used in this study was extracted from 2011 regional health care utilization statistics and health insurance key statistics from National Health Insurance Corporation. A total spatial units of 229 districts (si-gun-gu) were included in this study and spatial area was all parts of the country excepted Jeju, Ulleungdo island. We conducted Kruskal-Wallis test, correlation, Moran's I and hot-spot analysis. And after, ordinary linear regression, spatial lag, spatial error analysis was performed in order to find factors which were associated with external medical service use. The data was processed by SAS ver. 9.1 and Geoda095i (windows). Results: Moran's I of health insurance patients' external medical service use was 0.644. Also, population density, Seoul region, doctor factors positively associated with health insurance patients' external medical service. In contrast, average age, health care organization per 100 thousand were negatively associated with health insurance patients' external medical service use. Conclusion: The finding of this study suggested that health insurance patient's external medical service use correlated for seoul region in korea. The study results imply the need for more attention medical needs in the region (si-gun-gu unit) for health insurance patients of seoul region. It is important to adapt strategy to activation of primary health care as well as enhancing public health institution for prevent leakage of patients to other areas.

• 한국공간정보시스템학회 논문지
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• 제3권1호
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• pp.95-108
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• 2001

최근 들어, 인류의 생활 터전인 공간과 시간에 대한 정보화를 통해 수치지도, 위성영상, GPS, 교통정보 등과 같은 다양한 종류의 공간 정보 활용에 대한 요구가 급증하는 추세이다. 공간 정보 시스템은 각 부처 단위의 사업으로 개발되어 중복 구축의 문제가 대두되었고, 공간을 처리하는 기술들이 독립적으로 발전하여 한계에 이르는 문제가 발생하였다. 본 논문에서는 중복 구축 및 독립적인 기술 발전의 한계를 극복하기 위하여 4S 기반 프레임워크를 구축하여 상호운용성을 제공하는 방법에 대해 설명한다. 4S 기반 프레임워크는 공간 데이터를 처리하는 4개의 분야를 통합하는 구조로서 크게 핵심 기술 개발 및 기반조성연구로 나뉘어진다. 핵심기술개발 분야에는 4S 핵심기술 및 상호연계 기술 4S-Mobile, 4S-VAN, 공공부문 LBS 기술 등이 있고, 기반조성연구로는 ISP 수립, 4S 지원센터 설립, 4S 관련 인증 및 감리에 관한 연구 등이 있다.

• 정보처리학회논문지D
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• 제18D권5호
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• pp.385-392
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• 2011

최근 농업 분야에 IT를 접목시킨 농업-IT 융합 기술에 대한 연구가 주목 받고 있다. 특히, 공간 데이터 마이닝(spatial data mining, SDM)을 이용한 농작물 관련 예측 서비스들을 통해 자연재해에 대한 피해를 줄이고 농작물의 생산성을 높이고자 하는 연구들이 있어 왔다. 그러나 예측 서비스를 위한 SDM에 필요한 학습 데이터는 분산되어 있는 데이터간의 이질성으로 인해 데이터 변환과 통합과정에 많은 비용과 시간이 발생한다. 또한 공간 데이터와 비공간 데이터 간의 공간적 이웃 관계를 연산하기 위해 대용량의 데이터에 대한 복잡한 연산과정이 필요하다. 본 논문에서는 각각의 데이터 소스를 하나의 서비스 단위로 취급함으로써 분산된 이질적인 데이터를 효과적으로 통합 관리할 수 있고 SDM을 위한 학습 데이터의 생산성을 향상시켜 최적의 예측 서비스의 발견을 지원해 주는 SOA 기반의 데이터 통합 프레임워크를 제안한다. 실험을 통해 경기도 이천시의 복숭아나무의 동해 피해지역에 대한 최적의 예측 서비스의 발견을 위해 제안 프레임워크를 효과적으로 적용할 수 있음을 확인하였다.

• 한국정보과학회논문지:데이타베이스
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• 제32권1호
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• pp.100-110
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• 2005

지리정보시스템(Geographic Information System)에서 지도 갱신 작업은 대화식으로 이루어지는 긴 트랜잭션이다. 지도 갱신 작업의 동시성을 향상시키기 위하여 특정 공간객체가 트랜잭션의 작업 영역보다 큰 공간 속성을 가질 때 다수의 트랜잭션이 해당 객체를 동시에 변경할 필요가 있다. 그러나, 큰 객체에 대한 쓰기 잠금이 충돌하기 때문에 둘 이상의 트랜잭션이 동일한 큰 객체를 동시에 변경할 수 없다. 이 논문에서는 큰 객체의 동시 변경을 지원하기 위하여 트랜잭션이 큰 객체의 부분에 대하여 잠금을 설정하는 부분 잠금 기법을 제시한다. 부분 잠금은 특정 공간객체의 부분객체에 대하여 사용자에 의해 설정되는 배타적 잠금으로 부분객체의 공간 속성을 이용하여 잠금 간의 충돌을 검사한다. 제안한 기법은 큰 객체에 대한 동시성 제어 단위를 낮추기 때문에 공간 객체를 변경하는 긴 트랜잭션의 동시성을 향상키는 장점을 가진다.

• 한국물환경학회지
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• 제37권3호
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• pp.204-216
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• 2021

It is important to understand the factors influencing the temporal and spatial variability of water quality in order to establish an effective customized management strategy for contaminated aquatic ecosystems. In this study, the spatial diversity of the 5-year (2015 - 2019) average total phosphorus (TP) concentration observed in 40 Total Maximum Daily Loads unit-basins in the Nakdong River watershed was analyzed using 50 predictive variables of watershed characteristics, climate characteristics, land use characteristics, and soil characteristics. Cross-correlation analysis, a two-stage exhaustive search approach, and Bayesian inference were applied to identify predictors that best matched the time-averaged TP. The predictors that were finally identified included watershed altitude, precipitation in fall, precipitation in winter, residential area, public facilities area, paddy field, soil available phosphate, soil magnesium, soil available silicic acid, and soil potassium. Among them, it was found that the most influential factors for the spatial difference of TP were watershed altitude in watershed characteristics, public facilities area in land use characteristics, and soil available silicic acid in soil characteristics. This means that artificial factors have a great influence on the spatial variability of TP. It is expected that the proposed statistical modeling approach can be applied to the identification of major factors affecting the spatial variability of the temporal average state of various water quality parameters.

• 한국농공학회논문집
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• 제65권5호
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• pp.69-80
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• 2023

Carbon neutrality in agriculture can be derived from systematic GHG reduction policies based on quantitative environmental impact analysis of GHG-emitting activities. This study is to explore how to advance the calculation of carbon emissions from agricultural activities to the detailed spatial level to a spatial Tier 3 level (Tier 2.5 level), methodologically beyond the Tier 2 approach. To estimate the GHG emissions beyond the Tier 2.5 level by region for detailed spatial units, we constructed available activity data on carbon emission impact factors such as rice cultivation, agricultural land use, and livestock. We also built and verified detailed data on emission activities at the field level through field surveys. The GHG emissions were estimated by applying the latest national emission factors and regional emission factors according to the IPCC 2019 GL based on the field-level activity data. This study has significance that it explored ways to build activity data and calculate GHG emissions through statistical data and field surveys based on parcels, one of the smallest spatial units for regional carbon reduction strategies. It is expected that by utilizing the activity data surveyed for each field and the emission factor considering the activity characteristics, it will be possible to improve the accuracy of GHG emission calculation and quantitatively evaluate the effect of applying reduction policies.