• Title/Summary/Keyword: 크리깅 기법

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A Study for Applicability of Cokriging Techniques for Estimating the Real Transaction Price of Land (토지 실거래가격 추정을 위한 공동 크리깅기법의 적용가능성 연구)

  • Choi, Jin Ho;Kim, Bong Joon
    • Journal of Korean Society for Geospatial Information Science
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    • v.23 no.1
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    • pp.55-63
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    • 2015
  • The need for estimating the real transaction price of land is increasing in order to build foundation for transparent land transaction and fair taxation. This study looked into the applicability of cokriging combining real transaction price of land, altitude and gradient for effective price estimation on the points where the real transaction does not take place in the course of using the real transaction price of land. The real transaction price of land have been estimated using the real transaction materials of Yeongcheon, Gyeongsangbuk-do from January 2012 to June 2014, and the results have been compared with the estimation results of ordinary kriging. As a result of analyzing the mean error and root mean square error (RMSE) of the estimated price and 2,575 verification points, it was found that compared to ordinary kriging, cokriging results were more effective in terms of the real transaction price estimation and actualization. The reason that cokriging is more effective in the real transaction price estimation is because it takes account of altitude and gradient which are the forces influencing the land value.

Design frequency estimation in small basin and proper flood defense alternative (도시 소유역의 설계빈도 산정 및 적정 홍수방어대안)

  • Lim, Woo-Saeng;Lee, Jung-Ki;Choi, Kang-Soo;Kim, Hung-Soo
    • Proceedings of the Korea Water Resources Association Conference
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    • 2008.05a
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    • pp.373-378
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    • 2008
  • 기존에는 잠재위험도와 해당지역 하나의 강우관측소에서의 기왕최대강우량을 이용하여 계획빈도를 결정하였다. 그러나 기왕최대강우량은 이미 발생한 최대강우량이기 때문에 안전치를 고려해 산정한 계획빈도를 따라가지 못하였고, 잠재위험도에 따른 계획빈도의 범위가 매우 작은 문제점이 있었다. 따라서 본 연구에서는 문산천 유역의 기왕최대강우량과 잠재위험도를 이용하여 계획빈도를 산정하는데 필요한 가중치를 결정하였다. 본 연구에서는 수도권지역 6개의 기상청 강우관측소 강우량 자료를 사용하여 크리깅기법으로 공간분포를 시키고자 하였다. 또한, 기왕최대강우량으로 계획빈도를 연결시키는데 있어서 발생하는 문제점을 해결하기 위하여 계획빈도의 가중치를 산정하고자 하였다. 문산천 유역에 잠재위험도 산정에 따라 계획빈도를 결정한 결과, 크리깅기법으로 문산천 유역에 기왕최대강우량에 해당하는 계획빈도는 160년 정도이며, 회귀식으로 각 소유역별로 계획빈도를 산정한 결과 약 110년에서 120년까지 분포하였다. 이렇게 산정된 계획빈도를 공시지가와 홍수량으로 가중치를 구하여 소유역별로 분포시킨 계획빈도 값은 대략 100년에서 200년으로 산정되었다. 잠재위험도와 피해액 산정기법을 이용하여 문산천에 최적 홍수방어대안을 선정하고자 하였다. 최적 대안을 선정하기 위한 방법론을 제시하고 이에 따라 잠재위험도를 산정하고 유역 분담량을 결정하여 적합한 구조적 홍수방어시설물을 Decision Tree라는 의사결정을 통하여 계획하고 조합하여 3개의 적정 홍수방어대안을 선정하였다.

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Structural Optimization for a Jaw Using the Kriging model (이단계 크리깅 모델을 이용한 조(Jaw)의 구조최적설계)

  • Lee, Kwon-Hee;Bang, Il-Kwon;Kang, Dong-Hun;Han, Dong-Seop;Han, Geun-Jo
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • v.2
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    • pp.143-147
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    • 2006
  • The rail clamp is the device to prevent that a crane slips along rails due to the wind blast as well as locate the crane in the set position for loading and unloading containers. The wedge type rail clamp should be designed to consider the structural stability and the durability because it compresses both rail side with large clamping force by the wedge working as the wind speed increases. In this research, the kriging interpolation method using sequential sampling is utilized to find the optimum shape of the jaw in the rail clamp. The suggested method predicts more accurate response value than the response surface method. The optimum results obtained by the proposal method are compared with those by the commercial software.

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Sensitivity Validation Technique for Sequential Kriging Metamodel (순차적 크리깅 메타모델의 민감도 검증법)

  • Huh, Seung-Kyun;Lee, Jin-Min;Lee, Tae-Hee
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.36 no.8
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    • pp.873-879
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    • 2012
  • Metamodels have been developed with a variety of design optimization techniques in the field of structural engineering over the last decade because they are efficient, show excellent prediction performance, and provide easy interconnections into design frameworks. To construct a metamodel, a sequential procedure involving steps such as the design of experiments, metamodeling techniques, and validation techniques is performed. Because validation techniques can measure the accuracy of the metamodel, the number of presampled points for an accurate kriging metamodel is decided by the validation technique in the sequential kriging metamodel. Because the interpolation model such as the kriging metamodel based on computer experiments passes through responses at presampled points, additional analyses or reconstructions of the metamodels are required to measure the accuracy of the metamodel if existing validation techniques are applied. In this study, we suggest a sensitivity validation that does not require additional analyses or reconstructions of the metamodels. Fourteen two-dimensional mathematical problems and an engineering problem are illustrated to show the feasibility of the suggested method.

Investigation of Indicator Kriging for Evaluating Proper Rock Mass Classification based on Electrical Resistivity and RMR Correlation Analysis (RMR과 전기비저항의 상관성 해석에 기초하여 지시크리깅을 적용한 최적 암반 분류 기법 고찰)

  • Lee, Kyung-Ju;Ha, Hee-Sang;Ko, Kwang-Buem;Kim, Ji-Soo
    • Tunnel and Underground Space
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    • v.19 no.5
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    • pp.407-420
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    • 2009
  • In this study geostatistical technique using indicator kriging was performed to evaluate the optimal rock mass classification by integrating the various geophysical information such as borehole data and geophysical data. To get the optimal kriging result, it is necessary to devise the suitable technique to integrate the hard (borehole) and soft (geophysical) data effectively. Also, the model parameters of the variogram must be determined as a priori procedure. Iterative non-linear inversion method was implemented to determine the model parameters of theoretical variogram. To verify the algorithm, behaviour of object function and precision of convergence were investigated, revealing that gradient of the range is extremely small. This algorithm for the field data was applied to a mountainous area planned for a large-scale tunneling construction. As for a soft data, resistivity information from AMT survey is incorporated with RMR information from borehole data, a sort of hard data. Finally, RMR profiles were constructed and attempted to be interpreted at the tunnel elevation and the upper 1D level.

Comparative Research of Kriging Method Using Raingauges Data and Radar Data (지상강우자료와 레이더자료를 이용한 크리깅 기법의 비교연구)

  • Jang, Hong Suk;Kang, Narae;Noh, Huiseong;Kim, Gwangseob;Kim, Hung Soo
    • Proceedings of the Korea Water Resources Association Conference
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    • 2015.05a
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    • pp.188-188
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    • 2015
  • 최근 기후변화와 지구온난화로 인한 돌발성 집중호우 및 홍수, 태풍의 빈도 증가는 사회 경제적으로 막대한 피해를 입히고 있다. 수자원 분야에서는 이러한 피해를 예방하고 빠른 대처를 위해 강우의 정밀한 관측뿐만 아니라 강우의 정확한 공간 분포 파악이 요구되고 있다. 그러나 일반적으로 강우의 측정 시 사용되는 지상우량계의 경우 공간적인 밀도가 낮고, 불규칙적으로 위치하고 있어 강우의 시 공간적 변화를 반영하기 어려운 한계가 있다. 이러한 문제를 보완하고자 지상강우자료와 레이더자료를 결합하여 사용하고 있다. 본 연구는 지상강우자료의 양적인 특성을 고려함과 동시에 레이더자료의 공간분포특성을 반영하는 강우장을 추정하고자 하였다. 따라서 지구통계학적 공간보간기법인 크리깅 기법을 적용하였으며, OK(Ordinary Kriging), KED(Kriging with External Drift), ColCOK(Collocated Cokriging) 기법에 의해 생성된 강우장을 비교하였다. 지상강우와의 양적인 측면을 비교하기 위해 관측소 위치에서의 실제 강우값과 추정된 강우값의 상관관계를 비교하였으며, 레이더자료의 공간분포특성과의 유사성을 확인하기 위해 각 기법에서의 베리오그램을 비교하였다.

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Shape Optimization of a Rotating Cooling Channel with Pin-Fins (핀휜이 부착된 회전하는 냉각유로의 최적설계)

  • Moon, Mi-Ae;Husain, Afzal;Kim, Kwang-Yong
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.34 no.7
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    • pp.703-714
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    • 2010
  • This paper describes the design optimization of a rotating rectangular channel with staggered arrays of pin-fins by Kriging metamodeling technique. Two non-dimensional variables, the ratio of the height to the diameter of the pin-fins and the ratio of the spacing between the pin-fins to the diameter of the pin-fins are chosen as the design variables. The objective function that is a linear combination of heat transfer and friction loss related terms with a weighting factor is selected for the optimization. To construct the Kriging model, objective function values at 20 training points generated by Latin hypercube sampling are evaluated by a three-dimensional Reynolds-averaged Navier-Stokes (RANS) analysis method with the SST turbulence model. The Kriging model predicts the objective function value that agrees well with the value calculated by the RANS analysis at the optimum point. The objective function is reduced by 11% by the optimization of the channel.

A study on the estimation of rock mass classes using the information off a tunnel center line (터널 중심선으로부터 이격된 자료를 활용한 미시추구간의 암반등급 산정에 관한 연구)

  • You, Kwang-Ho;Lee, Sang-Ho;Choo, Suk-Yeon;Jue, Kwang-Sue
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.6 no.2
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    • pp.101-111
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    • 2004
  • In order to guarantee the stability of a tunnel and its optimum design, it is very important to obtain enough ground investigation data. In realty, however, it is not the case due to the limitation of measuring spatially distributed data and economical reasons. Especially, there are regions where drilling is impossible due to civil appeal and mountainous topology, and it is also difficult to estimate rock mass classes quantitatively with only geophysical exploration data. In this study, therefore, 3 dimensional multiple indicator kriging (3D-MI kriging), which can incorporate geophysical exploration data and drill core data off a tunnel center line, is proposed to cope with such problems. To this end, two dimensional mutiple indicator kriging, which is one of the geostatistical techniques, is extended for three dimensional analysis. Also, the proposed 3D-MI kriging was applied to determine the rock mass classes by RMR system for the design of a Kyungbu express rail way tunnel.

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Downscaling of Thematic Maps Based on Remote Sensing Data using Multi-scale Geostatistics (다중 스케일 지구통계학을 이용한 원격탐사 자료 기반 주제도의 다운스케일링)

  • Park, No-Wook
    • Korean Journal of Remote Sensing
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    • v.26 no.1
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    • pp.29-38
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    • 2010
  • It is necessary to develop an integration model which can account for various data acquired at different measurement scales in environmental thematic mapping with high-resolution ground survey data and relatively low-resolution remote sensing data. This paper presents and applies a multi-scale geostatistical methodology for downscaling of thematic maps generated from lowresolution remote sensing data. This methodology extends a traditional ordinary kriging system to a block kriging system which can account for both ground data and remote sensing data which can be regarded as point and block data, respectively. In addition, stochastic simulation based on block kriging is also applied to describe spatial uncertainty attached to the downscaling. Two downscaling experiments including SRTM DEM and MODIS Leaf Area Index (LAI) products were carried out to illustrate the applicability of the geostatistical methodology. Through the experiments, multi-scale geostatistics based on block kriging successfully generated relatively high-resolution thematic maps with reliable accuracy. Especially, it is expected that multiple realizations generated from simulation would be effectively used as input data for investigating the effects of uncertain input data on GIS model outputs.