• 한국전산구조공학회논문집
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• 제21권3호
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• pp.295-304
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• 2008

본 연구는 두 가지 주요 목적을 갖고 있다. 첫째는, 실험적 베리오그램을 작성하는데 필수적인 분리거리 허용한계를 얼마로 하느냐에 따라 변화되는 베리오그램 모델링에 기초를 둔 정규크리깅 보간법을 유한요소법에 적용이 가능한 가를 시험하는 것이다. 둘째는, 다항식모델, 가우스모델 및 구형모델의 선택에 따른 정확성을 조사하는 것이다. 이 목적을 위해 가우스 적분점에서 취득된 응력값 데이터로터 새로운 응력장을 예측하기 위해 가중-최소제곱법이 적용되었다. 여기서 가중치는 동일한 값을 사용하는 기존의 방식과 달리 응력값들의 보간을 위해 사용되는 실험적 및 이론적 베리오그램에 의해 결정된다. 제안된 접근방식의 타당성을 보이기 위해 2개의 수치예제를 테스트하였다. 이 논문에서 사용된 수치예제의 경우 25% 분리거리 허용한계를 사용한 가우스모델이 참고문헌의 이론 해들과 가장 잘 일치하는 것을 알 수 있었다.

• 센서학회지
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• 제32권2호
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• pp.110-117
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• 2023

Reconstructing underwater geometry in real time with forward-looking sonar is critical for applications such as localization, mapping, and path planning. Geometrical data must be repeatedly calculated and overwritten in real time because the reliability of the acoustic data is affected by various factors. Moreover, scattering of signal data during the coordinate conversion process may lead to geometrical errors, which lowers the accuracy of the information obtained by the sensor system. In this study, we propose a three-step data processing method with low computational cost for real-time operation. First, the number of data points to be interpolated is determined with respect to the distance between each point and the size of the data grid in a Cartesian coordinate system. Then, the data are processed with a nonlinear interpolation so that they exhibit linear properties in the coordinate system. Finally, the data are transformed based on variations in the position and orientation of the sonar over time. The results of an evaluation of our proposed approach in a simulation show that the nonlinear interpolation operation constructed a continuous underwater geometry dataset with low geometrical error.

• 한국인쇄학회지
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• 제18권1호
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• pp.103-112
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• 2000

The color space transformation to link device-dependent color spaces and device-independent color spaces is essential for device characterization and cross-media color reproduction. There are various color conversion methods such as regression, 3D interpolation with LUT(look-up table), and neural network. In the color transformation with these methods, the conversion accuracy is essentially based on the sample data to be exploited for device characterization. In conventional method, color samples are uniformly selected in device-dependent space such as CMY and RGB. However, distribution of these color samples is very non-uniform in device-independent color space such as CIEL*a*b*. Accordingly, the conversion error in device-independent color space is irregular according to the distribution of the samples. In this paper, a color sampling method based on equi-visual perception is proposed to obtain approximate uniform color samples in CIEL*a*b* space. In order to evaluate transformation accuracy of proposed method, color space transformations are simulated using regression, 3D interpolation with LUT and neural network techniques, respectively.

• 대한기계학회논문집B
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• 제23권2호
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• pp.243-253
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• 1999

The dual reciprocity boundary element method (DRBEM) is used to solve the Graetz problem of laminar flow inside circular duct. In this method the domain integral tenn of boundary integral equation resulting from source term of governing equation is transformed into equivalent boundary-only integrals by using the radial basis interpolation function, and therefore complicate domain discretization procedure Is completely removed. Velocity profile is obtained by solving the momentum equation first and then, using this velocities as Input data, energy equation Is solved to get the temperature profile by advancing from duct entrance through the axial direction marching scheme. DRBEM solution is tested for the uniform temperature and heat flux boundary condition cases. Local Nusselt number, mixed mean temperature and temperature profile inside duct at each dimensionless axial location are obtained and compared with exact solutions for the accuracy test Solutions arc in good agreement at the entry region as well as fully developed region of circular duct, and their accuracy are verified from error analysis.

• 한국측량학회지
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• 제13권2호
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• pp.277-283
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• 1995

본 논문에서는 수치지형모델을 이용한 토공량 계산에서 격자간격지형의 보간방법, 토공양 산정방식 토공량의 정확도에 어떻게 영향을 주는 가를 연구하고자 하였으며, 이를 위하여 수치보험을 하였다. 우선 l0m간격의 정규격자로 구성된 지형의 수치모델에 대하여 이동평균법(Moving average)을 사용하여 2m, 5m, 10간격으로 보간 하였으며, 보간된 각 지형에 대해 양단면평균법, 중앙단면법, 각주공식, 심프슨 공식을 사용하여 토공량을 산정하였다. 이들 방법을 비교분석한 결과 이동평균법을 사용한 결과는 보간 방법에서는 1차식이, 토공량 계산방법에서는 양단면 평균법과 중앙단면법보다 각주공식과 심프슨 공식에서 정밀한 결과를 얻었다.

• Structural Engineering and Mechanics
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• 제42권4호
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• pp.471-488
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• 2012

An efficient one dimensional finite element model has been presented for the dynamic analysis of composite laminated beams, using the efficient layerwise zigzag theory. To meet the convergence requirements for the weak integral formulation, cubic Hermite interpolation is used for the transverse displacement ($w_0$), and linear interpolation is used for the axial displacement ($u_0$) and shear rotation (${\psi}_0$). Each node of an element has four degrees of freedom. The expressions of variationally consistent inertia, stiffness matrices and the load vector are derived in closed form using exact integration. The formulation is validated by comparing the results with the 2D-FE results for composite symmetric and sandwich beams with various end conditions. The employed finite element model is free of shear locking. The present zigzag finite element results for natural frequencies, mode shapes of cantilever and clamped-clamped beams are obtained with a one-dimensional finite element codes developed in MATLAB. These 1D-FE results for cantilever and clamped beams are compared with the 2D-FE results obtained using ABAQUS to show the accuracy of the developed MATLAB code, for zigzag theory for these boundary conditions. This comparison establishes the accuracy of zigzag finite element analysis for dynamic response under given boundary conditions.

• Journal of Power Electronics
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• 제19권6호
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• pp.1429-1439
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• 2019

Buck-Boost LLC (BBLLC) converters based on a PWM + phase control strategy are good candidates for high efficiency, high power density and wide input range applications. Nevertheless, they suffer from large computational complexity when it comes to calculating the optimal phase for ZVS of all the switches. In this paper, a method is proposed for a microcontroller unit (MCU) to calculate the optimal phase quickly and accurately. Firstly, a 2-D lookup table of the phase is established with an index of the input voltage and output current. Then, a bilinear interpolation method is applied to improve the accuracy. Meanwhile, simplification of the phase equation is presented to reduce the computational complexity. When compared with conventional curve-fitting and LUT methods, the proposed method makes the best tradeoff among the accuracy of the optimal phase, the computation time and the memory consumption of the MCU. Finally, A 350V-420V input, 24V/30A output experimental prototype is built to verify the proposed method. The efficiency can be improved by 1% when compared with the LUT method, and the computation time can be reduced by 13.5% when compared with the curve-fitting method.

• 대한지리학회지
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• 제44권2호
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• pp.105-121
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• 2009

지형 굴곡이 심한 하와이 화산섬의 경우, 측후소 분포가 매우 제한적이어서 공식적인 기온 분포도가 작성되지 못하고 있는 실정이다. 본 연구에서는 이러한 기온 지도화의 문제점을 해결하는 방법으로 위성기반의 지표온도 자료로부터 기온추정치를 추출하여 내삽법에 필요한 입력자료로 사용하였다. 추출된 온도값을 표본값으로하여 거리 역비례 가중치법(IDW)과 공동크리깅 (cokriging)을 적용하여 기온추정치를 지도화하였다. 기온과 고도값을 함께 이용한 cokriging이 IDW에 비해 크게 향상된 추정 오차값을 나타내었다. Cokriging은 주 변수와 고도와 같은 추가 변수 간의 상관관계가 유의하게 나타날 때 효과적으로 사용되는 내삽법이지만, 내삽 정확도는 계절적인 기상조건에 민감하게 영향받는 것으로 조사되었다. 강수량이 크게 증가하는 우기에는 건기에 비해 공간적인 기온변화가 크며, 이에 따라 기온 추정 오차값도 우기에 높게 나타났다.

• The Plant Pathology Journal
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• 제26권1호
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• pp.37-48
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• 2010

This paper describes a web-based information system for plant disease forecast that was developed for crop growers in Gyeonggi-do, Korea. The system generates hourly or daily warnings at the spatial resolution of $240\;m{\times}240\;m$ based on weather data. The system consists of four components including weather data acquisition system, job process system, data storage system, and web service system. The spatial resolution of disease forecast is high enough to estimate daily or hourly infection risks of individual farms, so that farmers can use the forecast information practically in determining if and when fungicides are to be sprayed to control diseases. Currently, forecasting models for blast, sheath blight, and grain rot of rice, and scab and rust of pear are available for the system. As for the spatial interpolation of weather data, the interpolated temperature and relative humidity showed high accuracy as compared with the observed data at the same locations. However, the spatial interpolation of rainfall and leaf wetness events needs to be improved. For rice blast forecasting, 44.5% of infection warnings based on the observed weather data were correctly estimated when the disease forecast was made based on the interpolated weather data. The low accuracy in disease forecast based on the interpolated weather data was mainly due to the failure in estimating leaf wetness events.

• 정보처리학회논문지:컴퓨터 및 통신 시스템
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• 제3권8호
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• pp.251-260
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• 2014

3D 점 데이터는 높은 정확성을 가진 사물의 표면 정보 데이터로 다양한 분야에서 사용되고 있으며, 특히 지리학에서 지형 파악과 분석에 많이 사용되고 있다. 일반적으로 3D 점 데이터의 Gridding 과정을 거치게 되는데 이는 불연속적인 점 데이터를 일정한 좌표 값으로 만드는 과정으로 긴 실행 시간과 높은 비용이 필요하다. 특히 Gridding 과정 중 보간 작업을 위해서 Kriging이 높은 정확성으로 주목받고 있지만 처리과정이 복잡하고 연산이 많아 처리속도가 상대적으로 느리기 때문에 많이 사용되지 않고 있다. 본 논문에서는 Gridding을 고성능으로 처리하기위해 Kriging 연산 과정을 병렬화했으며 격자 자료구조를 MapReduce 패러다임에 맞게 변형하여 Kriging에 적용하였다. 실험은 항공 LiDAR 데이터 약 1.6백만 개와 4.3백만 개의 점 데이터를 이용해서 제안한 MapReduce 구조에 적용하였고, 그 결과 3대의 이기종 클러스터에서 전체 실행시간이 순차적 프로그램에 비해 최대 3.4배 단축하였다.