• Communications of the Korean Institute of Information Scientists and Engineers
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• v.32 no.7
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• pp.26-32
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• 2014

• Journal of the Korean Association of Geographic Information Studies
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• v.10 no.2
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• pp.164-171
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• 2007

This research used GIS spatial analysis model and Huff probability model and achieved trade area analysis of area center. we constructed basic maps that were surveyed according to types of business, number of households etc. using a land registration map of LMIS(Land Management Information System) in Bokdae-dong, Cheongju-si. Kernel density function and NNI(Nearest Neighbor Index) was used to estimate store distribution center area in neighborhood life zones. The center point of area and scale were estimated by means of the center area. Huff probability model was used in abstracting trade areas according to estimated center areas, those was drew map. Therefore, this study describes method that can apply in Huff probability model through kernel density function and NNI of GIS spatial analysis techniques. A trade area was abstracted more exactly by taking advantage of this method, which will can aid merchant for the foundation of small sized enterprises.

• Korean Journal of Construction Engineering and Management
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• v.20 no.6
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• pp.11-22
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• 2019

Current construction project processes pose difficulties for construction management as inefficient communication between project participants seldom accurately reflects the needs of the owner. To solve this problem, lean construction-based Integrated Project Delivery (IPD), which facilitates cooperation and builds trust through the formation of horizontal relationships among participants, is becoming increasingly popular. However, although lean construction-based IPD improves productivity in the construction industry, few studies have focused specifically on developing effective methods that maximize the benefits gained from lean construction-based IPD. This study therefore analyzed success factors for lean construction-based IPD projects by analyzing prior studies to identify factors that support IPD success. Application methods were analyzed and an example of how they are actually used in the field was examined through an in-depth single case analysis. The findings of this research can be applied to support lean construction-based IPD projects in Korea, improving their efficiency and boosting owner satisfaction.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.222-226
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• 2008

The construction industry has remained stagnant for a long time. So many researchers have wanted to solve this problem not only focusing on enhancement of construction process, but also introducing the culture of cooperation. The Last Planner System(LPS), one of the elementary techniques of Lean Construction, aims for improving the work reliability and reducing variability by measuring and managing the daily or weekly performance for overcoming the weakness of recent complex schedule management tools such as Critical Path Method. This research propose a framework for implementation of LPS conducted by owner focused on construction stage and introduce optimal owner participation model in plant construction, based on needs analysis for construction participants. Furthermore, this research introduce a modified needs analysis, so called IPBA(Importance-Performance-Betterment Analysis), and an advanced LPS procedure which add the needs analysis during pre-LPS and(or) main LPS stages.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.23 no.1
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• pp.39-47
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• 2005

In this study, three-dimensional information of submarine topography acquired by assembling DGPS method and echo sounder which mainly used in the marine survey. Moreover, the hopper dredging capacity in harbor public affair has been calculated by utilizing kriging, radial basis function and nearest neighbor interpolation. Also, utilization of DGPS/Echo sounder method in calculation of the dredging capacity have been confirmed by comparing and analyzing the hopper dredging capacity and the actual one as per each interpolation. According to this comparison result, in case of applying kriging interpolation, some 1.89% of error rate has been shown as difference of the contents is 15,364 ㎥ and in case of applying radial basis function interpolation and nearest neighbor interpolation, 3.9% and 4.4% of error rates have respectively shown. In case the study for application of the proper interpolation as per characteristics of submarine topography, is preceded in calculation of the dredging capacity relevant to harbor public affairs, it is expected that more speedy and correct calculation for the dredging capacity can be made.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.9
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• pp.5502-5512
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• 2014

Until recently, Integrated Logistics Support (ILS) focused mainly on the development and acquisition of supportability factors (maintenance planning, maintenance tools, support equipment, supply support, maintenance training, etc.). In the long term, supportability strategies and policies are needed in terms of LEAN-like cost reduction, efficiency in the field of weapon systems. This study first introduces the concept of Lean, theory of Lean Maintenance and suggests Lean maintenance framework, maintenance strategy for ILS. The case studies were analyzed in terms of the maintenance time, maintenance man-hours, maintenance cost for Lean PM in a radar system. The direction of LEAN on supportability in a weapon system is suggested.

• Journal of the Economic Geographical Society of Korea
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• v.10 no.3
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• pp.319-331
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• 2007

Nowadays, urbanized area expands its boundary, and distribution of urbanized area is gradually transformed into more complicated pattern. In Korea, SMA(Seoul Metropolitan Area) has outstanding urbanized area since 1960. But it is ambiguous whether urban distribution is clustered or dispersed. That is to say, it is difficult to understand spatial distribution pattern of urbanized area, although urbanized area has grown gradually. This study aims to show the way in which expansions of urbanized area impact on spatial distribution pattern of urbanized area. We use GIS analysis based on raster dataset, quadrat analysis, and nearest neighbor analysis to know distribution pattern of urbanized area in time-series urban growth. Experiments show that cohesion of SMA's urbanized area had increased to the early 1980s, but has decreased from the middle 1980s. Also, urban growth of SMA has been characterized not by spillover growth but by leapfrogging growth and road-influenced growth since the middle 1980s.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.73-73
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• 2011

일반적으로 미래 기후자료를 산출하기 위하여 기후 시스템을 수치화한 GCM에 의한 결과를 사용한다. 하지만 GCM의 시공간적인 해상도의 문제로 기후변화에 따른 수자원 영향 분석을 위해서는 축소기법의 적용과정이 필요하다. 이를 위하여 전세계적으로 통계학적 방법에 의한 일기발생기를 이용한 축소기법 방법이 많이 이용되고 있다. 하지만 일기발생기에 의한 방법은 월 평균값의 연간 변동성이나 계절적 변화를 재현하는데 한계가 있는 것이 사실이다. 본 연구에서는 이러한 일기 발생기의 한계가 강우의 발생 특성이 평균과 표준편차로 대표되는 통계학적 기법에 근거하고 있기 때문이라고 파악하였다. 따라서 최저온도, 최고온도, 강수량, 상대습도, 풍속, 일사량과 같이 6개의 기상자료를 선정하여 비선형 관계를 고려할 수 있는 기법을 적용하고자 하였다. 이를 위하여 SRES A1B 기후변화 시나리오에 의한 CNCM3 기후모형의 결과를 이용하였고 각 관측소 마다 다양하게 발생하는 강우 특성은 과거의 강우 특성과 유사할 것이라는 가정하에 공간적 축소기법으로 인공 신경망(ANN: Artificial Neural Network) 을 적용하고 시간적 축소기법으로 최근린(NN: Nearest Neighbor) 방법과 유전자 알고리즘(GA: Genetic Algorithm)을 적용하는 기법을 함께 제시하였다. 이러한 기법들을 실제 남한강 유역의 기상관측소 지점으로 적용하여 검증한 결과 모의된 대부분의 기상자료가 관측치를 비교적 잘 재현하였다. 본 연구에서 제시한 비선형 축소기법은 추후 기후변화 연구에 중요한 방법론으로 활용될 수 있을 것으로 기대된다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.31 no.3D
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• pp.451-456
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• 2011

There is a relationship between effective time management and project success. Therefore, advanced time management techniques have recently been introduced. This paper investigates the current time management practices for road construction sites and proposes lean construction practices to effectively implement time management. This would be helpful to establish an effective schedule plan. Also, an efficient construction site time management system can be developed base on this fundamental research. Furthermore, future research should be performed to investigate the performance of lean construction.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.7
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• pp.303-311
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• 2020

The acreage of tangerines in the U.S. sharply rose from 19,000 ha in 2009 to 27,000 ha in 2016, an increase of 42% in 7 years. Considering the recent surge in tangerine exports to Japan, the export volume of 6-7 thousand tons is highly likely to increase in the future. Therefore, the purpose of this study was to analyze the economic impact of U.S. tangerine imports on the Korean citrus industry under various scenarios. In order to examine the possibility of imports of U.S. tangerines, the unit price of U.S. exports to Japan was used since U.S. tangerines are not imported to South Korea. Citrus fruits are divided into field citrus, house citrus, and late-maturing citrus (including winter season citrus) based on the cultivation method and variety used to analyze. Considering both the field and house seasons, the import volume of U.S. tangerines can be expected to rise from roughly 4,700 tons in 2021 to 10,000 tons in 2027. Imports of U.S. tangerines may be pushed up or delayed depending not only on the harvest method and quality of domestic field and house citrus but also on the harvest of U.S. tangerines. However, it is necessary to note that tangerines could be imported after 2021, when the tariff rate on U.S. tangerines will fall below 50%.