• Journal of the Korean Society of Hazard Mitigation
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• v.2 no.2 s.5
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• pp.73-83
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• 2002

HAZUS developed by FEMA is applied to estimation on seismic hazard in Chung-Nam Province using basic data on general building, population, and geology of well-logging. Through the investigation on historical and instrumental earthquakes in Korean Peninsula seismic hazard is estimated in Chung-Nam Province in two ways for calculation of acceleration, deterministically and probabilistically. In deterministic method seismic hazard in Chung-Nam Province is estimated by generation of the maximum event that occurs in Hongsung and has magnitude of 6.0. According to the result, Hongsung Gun, Yesan Gun, and Boryung City are the most severe in building damage. The expected number of people who need hospitalization in Hongsung Gun and Yesan Gun due to the earthquake are 1.1 and 0.4, respectively. In probabilistic(return period of 5,000 year) method seismic hazard in Chung-Nam Province is estimated. According to the result, Gongju City is the most severe in building damage. The expected number of people who need hospitalization in Gongju City and Nonsan City due to the earthquake are 0.1 and 0.15, respectively.

• Journal of Families and Better Life
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• v.12 no.1
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• pp.117-131
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• 1994

본 연구는 근린환경에 대한 거주자의 인지도를 파악하고, 현재 거주하고있는 지역의 근린환경에 대한 만족도를 조사하여 앞으로의 주거이동 성향이 어떻게 나타날 것인가를 예측해보는데 그 목적이 있다. 측정도구의 신뢰도계수($Cronbach's\;\alpha$)는 0.865이며, 분석방법은 빈도, 평균, $x^2$ 검증, t-검증, 일원변령분석 요인분석, 피어슨의 상관계수, 중다회귀분석, 다변량판별분석을 사용하였다. 연구결과는 첫째 '입지성' 속성에 대해 거주자의 인지와 만족이 가장 긍정적이었고 '쾌적성 및 정체감' 에 대해 가정 부정적이었다. 둘째 근린환경 인지도가 높을수록 부인의 교육수준이 높을수록 주거소유권이 자가이고 상가주변지역에 살고 있는 거주자들의 근린환경에 대한 총 만족도가 높게 나타났다. 셋째 거주기간 총 만족도, 주거용도 지역, 주택규모, 소득수준이 주거이동 성향을 판별하는 변인으로 나타났다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.11 no.3
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• pp.63-69
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• 2012

In this paper, we introduced design of intelligent surveillance camera system and typical event processing scenario for urban transit. To analyze video, we studied events that frequently occur in surveillance camera system. Event processing scenario is designed for seven representative situations(designated area intrusion, object abandon, object removal in designated area, object tracking, loitering and congestion measurement) in urban transit. Our system is optimized for low hardware complexity, real time processing and scenario dependent solution.

• 한국지형공간정보학회:학술대회논문집
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• 2001.04a
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• pp.1-15
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• 2001

본 연구는 도시토지이용의 적합성분석을 실시하는 데 있어 GSIS와 인공신경망의 유기적인 결합을 시도해 보았다. 인공신경망은 학습이라는 과정을 통해 신경망 노드(node)간의 연결강도를 합리적으로 결정할 수 있는 이점이 있다. 이러한 점에서 공간분석에서 요구되는 인자간의 경중률과 신경망의 연결강도는 대체가 가능하리라 판단된다. 본 연구를 수행하기 위해 두 종류의 신경망을 구성하였다. 1차 신경망은 토지이용별 적합성 분석에 적용했으며, 2차 신경망은 최적의 토지이용패턴을 분석하기 위해 구성하였다. 이들 신경망은 C++로 작성된 프로그램에 의해 구현된 최급강하법에 의한 역전파 알고리즘에 의해 학습을 실시하였으며, 활성화 함수는 시그모이드 함수를 사용하였다. 분석결과는 현행 용도지역제에서 주거, 상업, 공업, 녹지에 대한 토지이용 적합도면과 4가지 유형의 토지이용에 대한 대상지역의 최적토지이용패턴을 제시한 도면으로서 Arc/Info의 Grid 형식으로 작성하였다. 또한 토지이용별 적합도면상에 나타난 적합지역과 최적토지이용패턴은 위치적인 면과 공간 구성에 있어 실제의 도시토지이용계획의 이론적인 개념에 매우 합치되는 분포형태를 보였다.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.131-131
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• 2016

본 연구는 지난 12월(12월 10일 ~ 12월 23일) 충청남도 서부권 지역에 거주하는 가구(515개)를 대상으로 2015년 하반기에 발생한 가뭄으로 인한 물 소비 패턴을 조사하고, 이를 통해 해당 지역의 수돗물 소비 특성과 소비 구조에 미친 영향을 분석하였다. 우리나라 물 공급 상황, 가뭄의 심각성, 용도별 가구 내 수돗물 소비 실태와 수돗물 절약에 대한 인식 및 노력 정도를 조사하였다. 수돗물을 절약하고 있는 가장 큰 이유는 우리 지역의 가뭄 극복에 동참하기 위해서'가 73.2%로 가장 많았으며, 그 다음으로는 '수도요금 절약으로 가계 지출을 절감할 수 있어서'(55.9%), '정부의 물 절약 홍보'(52.4%) 등의 순으로 많이 나타났다.

• Journal of Korea Soil Environment Society
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• v.1 no.1
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• pp.47-54
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• 1996

Soil pollution indices (SPI) were designed for estimating quality of soil polluted with arsenic and heavy metals. Applying the quality reference value of soil based on its multifunctional purpose was a key step. For considereing multifunctions of soil, soil was classified into 4 groups-agricultural land, residential area, recreational area, factorial site. Then, each concentration of arsenic and each of five heavy metals (Cd, Cu, Hg, Pb, Zn) in soils grouped was transformed to a mathematical value based on the soil quality reference value which may stand for ecological impact. Soil pollution score (SPS) was the addition of the 6 values transformed, and the range of the SPS was divided into 4 Soil Pollution Classes (SPC). The SPC 1, 2, 3, and 4 were SPS <100, SPS 100-200, SPS >200-300, and SPS >300, repectively. SPS and SPC were evaluated with the results of the data from employing the Soil Network of 1994. Based on the soil quality reference values, SPS and SPC of the Soil Network's data were transformed and classified, respectively. Then, SPS and SPC were compared with arsenic and the 5 heavy metal contents of their reference values resulted from the Soil Network's. From this method, soil quality of most of the Soil Network area was estimated to be healthy. However, ca. 3.0~4.0% of the Soil Network area was determined in a range of slightly and heavily polluted. As the mean value of SPS of the Soil Network's was 66.2 which indicates most of soil evaluated was healthy. When the SPSs of the data were divided into 4 groups of SPC, Class 1 (Good quality of soil), Class 2 (Need to be checked area 1), Class 3 (Need to be checked area 2) and Class 4 (Polluted area) were 87.0, 9.4, 2.4, 1.2%, respectively. Using SPI were comparable to those of heavy metal contents in soils, and would be comprehenve to determine the status of soil qulity. Methodology of the developing SPI would be applicable to the other soil pollutants such as organic and inorganics than arsenic and 5 heavy metals used here.

• Management & Information Systems Review
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• v.37 no.3
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• pp.27-47
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• 2018

In this study, we examine how land use zoning affects the land price controlling other variables such as road-facing condition of the land, land form, land age after its development and land size. We employ geographically weighted regression analysis which reflects spatial dependency as methodology with a data sample of land transaction price data of Jangyu, a new town, in Korea. The results of our empirical analysis show that the respective coefficients of traditional regression and geographically weighted regression are not significantly different. However, after calculating Moran's Index with residuals of both OLS and GWR models, we find that Moran's Index of GWR decreases around 26% compared to that of OLS model, thus improving the problem of spatial autoregression of residuals considerably. Unlike our expectation, though, in both traditional regression and geographically weighted regression where residential exclusive area is used as a reference variable, the dummy variable of the residential land for both housing and shops shows a negative sign. This may be because the residential land for both housing and shops is usually located in the level area while the residential exclusive area is located at the foot of a mountain or on a gentle hill where the residents can have good quality air and scenery. Although the utility of the residential land for both housing and shops is higher than its counterpart's since it has higher floor area ratio, amenity which can be explained as high quality of air and scenery in this study seems to have higher impact in purchase of land for housing. On the other hand, land for neighbourhood living facility seems to be valued higher than any other land zonings used in this research since it has much higher floor area ratio than the two land zonings above and can have a building with up to 5 stories constructed on it. With regard to road-facing condition, land buyers seem to prefer land which faces a medium-width road as expected. Land facing a wide-width road may have some disadvantage in that it can be exposed to noise and exhaust gas from cars and that entrance may not be easy due to the high speed traffic of the road. In contrast, land facing a narrow road can be free of noise or fume from cars and have privacy protected while it has some inconvenience in that entrance may be blocked by cars parked in both sides of the narrow road. Finally, land age variable shows a negative sign, which means that the price of land declines over time. This may be because decline of the land price of Jangyu was bigger than that of other regions in Gimhae where Jangyu, a new town, also belong, during the global financial crisis of 2008.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.10
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• pp.461-470
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• 2020

This study analyzed the determinants of land compensation costs using the CALS (Continuous Acquisition & Life-Cycle Support) system to generate data for the construction (planning, design, building, management) process. For analysis, variables used in the related research on land costs were used, which included eight variables (Land Area, Individual Public Land Price, Appraisal & Assessment, Land Category, Use District 1, Terrain Elevation, Terrain Shape, and Road). Also, the variables were analyzed using the machine learning-based Xgboost algorithm. Individual Public Land Price was identified as the most important variable in determining land cost. We used a linear multiple regression analysis to verify the determinants of land compensation. For this verification, the dependent variable included was the Individual Public Land Price, and the independent variables were the numeric variable (Land Area) and factor variables (Land Category, Use District 1, Terrain Elevation, Terrain Shape, Road). This study found that the significant variables were Land Category, Use District 1, and Road.

• Journal of KIISE
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• v.41 no.12
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• pp.1145-1151
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• 2014

In this paper, we propose MPLO(Multi-Path routing with Local Optimization) for load balancing in the tactical backbone network. The MPLO manages global metric and local metric separately. The global metric is propagated to other routers via a routing protocol and is used for configuring loop-free multi-path. The local metric reflecting link utilization is used to find an alternate path when congestion occurs. We verified MPLO could effectively distribute user traffic among available routers by simulation.

• Journal of Korean Society of Rural Planning
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• v.19 no.3
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• pp.157-168
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• 2013

이 연구의 목적은 지자체의 계획수립 정책과 마을주민의 요구를 분석하여 농촌마을 재개발을 위한 지역계획 방향을 제시하는 데 있다. 마을재개발 주요 내용으로는 생활편의성 향상 뿐만 아니라 자연환경, 역사문화와 같은 어메니티 자원과 경관자원 등의 보전과 활용이 포함되어야 한다는 관점을 취하였다. 마을주민에 대한 설문조사와 마을재개발 계획수립 과정 및 결과에 분석을 토대로, 농촌마을재개발 계획의 특징을 파악한 후, 향후 발전을 위한 과제를 다음과 같이 제시하였다. 첫째, 마을재개발시 국토이용계획과 농촌특성을 반영할 수 있도록 토지이용 및 농촌개발 관련법을 보완해야 한다. 둘째, 농촌지역에 주거 및 취락지구를 도입하여 체계적인 마을정비가 이루어질 수 있도록 유도해 나갈 필요가 있다. 셋째, 지역계획수립 체계를 토지이용계획과 마을재개발 추진에 적합한 형태로 확립, 운영토록 한다. 넷째, 마을개발 부지 확보를 원활하게 할 수 있는 방향으로 농지교환분합 제도를 활성화해 나가도록 한다. 다섯째, 지역계획과 마을재개발이 유기적으로 연계되어 추진될 수 있도록 우선 개발 마을을 선정하고, 마을주민의 요구를 반영한 마을발전계획을 수립하며, 농촌취락지구와 같은 농촌토지 용도지구를 도입, 운영할 필요가 있다. 여섯째, 마을재개발 시범사업의 추진 및 평가를 토대로 체계적인 본 사업을 확대, 시행해 나가는 방안 마련이 필요하다. 일곱째, 농촌지역의 낙후도를 고려한 사업지원 및 추진에 차등화 방안을 마련할 필요가 있다.