• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.48 no.3
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• pp.175-185
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• 2020

The six-DOF aerodynamic coefficients of a missile entail inherent physical gradient constraints originated from the geometric characteristics of a cylindrical fuselage. To effectively adopt the freely available gradient information in aerodynamic coefficients modeling, this research employed gradient-enhanced (GE) Gaussian process. To investigate the accuracy of aerodynamic coefficients predicted with gradients information, we compared two Gaussian-process-based models: ordinary and GE Gaussian process models with and without gradient information, respectively. As a result, we found that GE Gaussian process models were able to comply with imposed gradient information and more accurate than ordinary Gaussian process models. However, we also found that GE Gaussian process modeling cannot handle gradient information continuously and ends up with more samples due to additional gradient information.

• The Korean Journal of Applied Statistics
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• v.27 no.5
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• pp.755-771
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• 2014

Isotropy is one of the main assumptions for the ease of spatial prediction (named kriging) based on some covariance models. A lack of isotropy (or anisotropy) in a spatial process necessitates that some additional parameters (angle and ratio) for anisotropic covariance model be obtained in order to produce a more reliable prediction. In this paper, we propose a new class of geometrically extended anisotropic covariance models expressed as a weighted average of some geometrically anisotropic models. The maximum likelihood estimation method is taken into account to estimate the parameters of our interest. We evaluate the performances of our proposal and compare it with an isotropic covariance model and a geometrically anisotropic model in simulation studies. We also employ extended geometric anisotropy to the analysis of real data.

• The Korean Journal of Applied Statistics
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• v.23 no.2
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• pp.345-356
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• 2010

In this paper, we introduce the linear regression model taking the parametric spatial association structure into account and employ it to five-year averaged wind speed data measured at 460 meteorological monitoring stations in South Korea. From the prediction map obtained by the model with spatial association parameters, we can see that inland area has smaller wind speed than coastal regions. When comparing the spatial linear regression model with classical one by using one-leave-out cross-validation, the former outperforms the latter in terms of similarity between the observations and the corresponding predictions and coverage rate of 95% prediction intervals.

• Geotechnical Engineering
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• v.10 no.1
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• pp.19-26
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• 1994

In this paper, the application of the rock classification method based on indicator kriging and the cost of errors, which can incorporate qualitative data, was presented. In particular, the binary classification of rock masses was considered. To this end, a simplified RMR system was used. Since most of subjectivity in this analysis occur during the estimation of loss functions, a sensitivity analysis of loss functions was performed. Through this research, it was found out that an expected cost of errors could successfully be used as an indication for how well a sampling plan was designed. In certain conditions, qualitative data can be more economical than quantitative data in terms of expected costs of errors and sampling costs. Therefore, an additional sampling should be carefully determined depending upon the surrounding geologic conditions and its sampling cost. The application method shown in this paper can be useful for more systematic rock classifications.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.390-390
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• 2011

본 연구는 기초기술연구회의 위성정보 활용 지원 운영사업(과제명: 위성영상을 이용한 하천정보 생산 및 활용에 관한 연구)의 연구비 지원에 의해 수행되었습니다. 지난 2010년 6월 발사된 천리안 위성이 약 9개월간의 정지궤도 시험운행을 마치고 본격적으로 위성자료 서비스를 시작함에 따라 한반도 악기상 관측 및 예측 정확도 향상에 기여할 것으로 예상된다. 최근 기후분야 외에도 수자원, 방재, 농업, 해양 등 다양한 응용분야에서 기상위성을 활용하고자 하는 연구가 수행되고 있으며 자료제공 시간의 단축과 기상자료 산출물의 제공으로 천리안 위성은 향후 광범위하게 활용 될 것으로 예상된다. 본 연구는 천리안 위성의 수자원 분야 활용을 위한 기반연구로 천리안 위성과 동일한 채널 특성을 보유한 MTSAT-1R 기상위성을 이용하여 면적강우량을 추정하고 이를 지상관측소를 이용하는 강우보정기법에 적용하며 강우산정 결과를 레이더 및 티센, 크리깅 등과 비교하였다. 강우추정은 NOAA NESDIS의 Power-law 공식을 이용하였으며 지상관측소를 이용한 강우보정은 조건부 합성기법을 적용하였다. 연구대상 유역은 충주댐 유역과 충주댐 유역 상류에 위치한 영월수위표 지점 상류유역을 대상으로 하였으며 레이더 차폐에 따른 레이더 강우량의 감쇄 효과를 분석하고 지형적 특성에 영향 받지 않는 기상위성을 이용한 강우량 산정 기법의 활용성을 제시하였다. 연구결과 레이더 차폐에 영향 받지 않는 영월 수위표 상류유역의 경우 레이더를 이용한 강우량 산정결과와 기상위성을 이용한 결과가 큰 차이가 없으나 전체 유역면적의 절반 정도가 레이더 차폐 지역에 포함되는 충주댐 유역의 경우 레이더를 이용할 경우 20%~35% 가량 강우량이 과소 추정되는 것으로 나타났다. 본 연구를 토대로 산악지형에 의해 레이더 차폐가 발생되는 유역에 대해 기상위성의 활용을 기대할 수 있을 것으로 판단되었다.

• Proceedings of the Korea Water Resources Association Conference
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• 2010.05a
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• pp.1104-1108
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• 2010

최근 수자원의 효율적인 배분을 위한 수자원관리의 중요성에 대한 인식과 하천의 환경적 기능에 대한 사회적 요구 증대로 수자원 기초조사에 의해 수집되어진 자료의 활용빈도가 다양한 분야에서 증가하고, 높은 신뢰도와 정확도를 요구하고 있다. 개발된 수위-유량 관계식의 신뢰도 검증은 일반적으로 지점별 수위-유량 관계식과 수위자료에 의해 산정된 유하량을 유역의 면적평균 강우량을 이용하여 산정한 유출률과 비교 분석하는 수문학적 방법에 의해 이루어지고 있는 실정이다. 최근에는 공간적인 비균질성을 고려하여 유출과정에서 운동역학적인 이론을 기반으로 물의 흐름을 수리학적으로 추적해 나가는 물리적 기반의 분포형 유출모형의 활용도가 높아지고 있음에 따라 본 연구에서는 낙동강수계 임하댐유역을 대상으로 물리적 기반의 분포형 모형인 $Vflo^{TM}$을 적용하여 유출량을 산정하고, K-water에서 수자원 환경기초조사 성과로 개발된 임하댐 상류 영양 수위관측소의 수위-유량 관계 곡선식을 이용하여 산정된 유출량과 비교함으로써 수자원기초조사 성과의 신뢰도를 검증하였다. 분포형 유출모형 적용에 필요한 매개변수 추출을 위해 GIS 기법을 이용하여 DEM, 토지피복도, 토양도에서 $Vflo^{TM}$의 입력인자인 경사도, 흐름방향, 조도계수, 수리전도도, 유효공극률, 토양심도를 추출 산정하였으며, 임하댐 유역의 8개 우량관측소 시우량자료를 이용하여 강우의 공간적인 통계 특성을 잘 반영하는 크리깅(Kriging) 기법에 의한 분포형 강우를 생성하였다. 또한, 본 모형을 통해 검증된 초기함수조건 등의 유역의 특성을 이용한 단기유량예측을 통하여 홍수량 예측 및 수문조사 효율성 향상에 매우 중요한 역할을 할 것으로 기대된다.

• KIPS Transactions on Computer and Communication Systems
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• v.3 no.8
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• pp.251-260
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• 2014

3D point data is utilized in various industry domains for its high accuracy to the surface information of an object. It is substantially utilized in geography for terrain scanning and analysis. Generally, 3D point data need to be changed by Gridding which produces a regularly spaced array of z values from irregularly spaced xyz data. But it requires long processing time and high resource cost to interpolate grid coordination. Kriging interpolation in Gridding has attracted because Kriging interpolation has more accuracy than other methods. However it haven't been used frequently since a processing is complex and slow. In this paper, we presented a parallel Gridding algorithm which contains Kriging and an application of grid data structure to fit MapReduce paradigm to this algorithm. Experiment was conducted for 1.6 and 4.3 billions of points from Airborne LiDAR files using our proposed MapReduce structure and the results show that the total execution time is decreased more than three times to the convention sequential program on three heterogenous clusters.

• Journal of the Korean Geotechnical Society
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• v.26 no.10
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• pp.39-47
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• 2010

In order to investigate the effect of variation characteristics of compression index on the spatial distribution of consolidation settlement, this study presents the estimation methods of the distribution of consolidation settlement and compares the estimated settlements. When the variation of compression index is considerable, the ordinary cokriging is more reliable in estimating the compression index than ordinary kriging because smoothing effect of ordinary cokriging is smaller than that of ordinary kriging. The spatial distribution of consolidation settlement estimated by considering both the variation of compression index and void ratio (CASE-1) is different from that estimated by using the mean value of all soil properties (CASE-2). The settlement of CASE-1 shows the larger variation at short distances rather than that of CASE-2. Whereas the spatial settlement distribution of CASE-1 is affected by the spatial distributions of compression index as well as the thickness of consolidation layer, that of CASE-2 is significantly influenced by the distribution of consolidation layer thickness.

• Journal of the Korean Geotechnical Society
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• v.26 no.9
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• pp.25-35
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• 2010

Settlement at reclamation area caused by secondary compression should be considered using spatial evaluating method because the thickness of consolidation layer varies at every location. Probabilistic method can be implemented to evaluate uncertainty of spatial distribution of secondary compression. This study spatially evaluated mean and standard deviation of secondary compression in the overall analyzing region using spatial distribution of consolidation thickness estimated by ordinary kriging method and statistical values of soil properties. And then, the area where secondary compression exceeds a design criterion at the specific time was evaluated using probabilistic method. It was observed that the area exceeding the design criterion increased as the variability of $C_{\alpha}/(1+e_o)$ increased or the probabilistic design criterion 0: decreased. It is considered that the probabilistic method can be used for the geotechnical design of soft ground when a probabilistic design criterion is established in the specification.

• Journal of the Korean Association of Geographic Information Studies
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• v.8 no.3
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• pp.107-120
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• 2005

In Korea, MOCT and KOWACO published a standard for lineament map drawings, "The Handbook for the Drawing and Management of Hydrogeologic Map" in 2003. According to this guideline, hydrogeologic and related thematic maps should include characteristics of groundwater quality and quantity. These maps are generally drawn with ArcView GIS 3.x software. The activities of well notation on groundwater level map and Stiff diagram drawings on groundwater quality map require a great deal of efforts because hundreds or thousands of well data, water level data and hydrogeochemical data are produced through many kinds of investigations. As well, lineament density map is very important to survey and explore groundwater in a deep aquifer. In this study we developed some modules for well notation, Stiff diagram drawings, and lineament density value calculation with Avenue$^{TM}$ script and it was revealed that they can be very useful and easy for drawing groundwater thematic maps.