• Proceedings of the Korea Information Processing Society Conference
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• 2010.11a
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• pp.644-647
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• 2010

본 논문에서는 영역분할을 이용한 3D입체영상의 밝기 보정방법을 제안한다. 제안된 방법은 입력된 좌우 3D입체영상 중 우 영상을 이진화를 통한 영역분할을 하고 크기가 작은 영역들은 제거한다. 영역단위의 매칭을 할 때 영역경계에서 발생하는 불연속성을 제거하기 위해서 모폴로지 필터로 영역경계지역(contour region)을 일정부분 제거한다. 우 영상의 각 영역들에 대해 대응되는 좌 영상내의 영역을 상관계수(correlation coefficient)를 이용한 정합을 통해 추출한다. 좌우 영상의 영역 간 히스토그램 명세화를 수행함으로써 우 영상의 밝기 보정을 한다. 실험에서 좌 영상으로부터 블록단위 움직임보상으로 우 영상을 생성했을 때 제안한 방법이 블록평균 정합오차가 가장 작은 것을 확인 할 수 있었다.

• Journal of Korea Water Resources Association
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• v.46 no.11
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• pp.1041-1052
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• 2013

In this study, we estimate parameters of a distributed hydrologic model, GRM (grid based rainfall-runoff model), using a model-independent parameter estimation tool, PEST. We implement auto calibration of model parameters such as initial soil moisture, multipliers of overland roughness and soil hydraulic conductivity in the Geumho River Catchment and the Gamcheon Catchment using radar rainfall estimates and ground-observed rainfall represented by Thiessen interpolation. Automatic calibration is performed by GRM-MP (multiple projects), a modified version of GRM without GUI (graphic user interface) implementation, and "Parallel PEST" to improve estimation efficiency. Although ground rainfall shows similar or higher cumulative amount compared to radar rainfall in the areal average, high spatial variation is found only in radar rainfall. In terms of accuracy of hydrologic simulations, radar rainfall is equivalent or superior to ground rainfall. In the case of radar rainfall, the estimated multiplier of soil hydraulic conductivity is lower than 1, which may be affected by high rainfall intensity of radar rainfall. Other parameters such as initial soil moisture and the multiplier of overland roughness do not show consistent trends in the calibration results. Overall, calibrated parameters show different patterns in radar and ground rainfall, which should be carefully considered in the rainfall-runoff modelling applications using radar rainfall.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2004.03a
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• pp.209-214
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• 2004

국지적으로 단시간 내에 많은 양의 강한 비가 내리는 현상인 집중호우는 발생부터 성장, 쇠퇴까지의 과정이 단기간에 이루어지고, 그 변동성이 아주 크다. 그러므로 정확한 예보를 위해서는 단시간예보(nowcasting) 기법이 필요한데, 이를 위해서는 연속적이고, 정확한 관측이 필요하다. 집중호우의 관측에는 우량계, 레이다, 위성 관측 등이 사용되는데 이 연구에서는 GOES-9호 위성영상자료를 이용하였고, 2003년 여름의 8개 강수사례에 대해 분석하였다. 집중호우시의 강수량을 산출하기 위해 Power-law Curve를 사용하였고, NOAA/NESDIS에서 개발하여 현업에 사용 중인 Auto-Estimator의 무강수 픽셀 보정방법을 이용하여 산출된 강수량을 보정하였으며, 이를 기상청의 자동기상관측자료 (Automatic Weather Station: AWS)와 비교하였다. 위성영상자료의 시간 대표성을 분석하기 위해 위성의 관측 시간에 대해 전, 후, 중심을 기준으로 각각 15분, 30분, 60분 누적강수량과 비교하였고, AWS의 공간 대표성을 분석하기 위해 위성영상자료의 3×3, 5×5, 9×9 픽셀을 면적 평균하여 각각 비교하였다. 분석 결과 대부분의 사례에서 위성의 관측시간을 시작으로 60분 동안 누적한 강수량과 상관성이 가장 크게 나왔고, 면적에 대해서는 거의 차이가 없었다. 또한, 무강수 픽셀 보정방법의 하나로 구름의 성장률을 보정해 주었다. 그 결과 구름의 성장률을 보정해 주었을 때 상관계수가 0.05 이상 상승하였다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.2
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• pp.63-68
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• 2017

In this paper, Distance recognition measurement using distance calculation correction algorithm, was realization through LED dimming control. The calculation values for the RSSI average filtering and the RSSI feedback filtering were calculated and applied to reduce the error of the RSSI value measured from a long distance. It was confirmed that the RSSI values through the average filtering and the RSSI values measured by setting the coefficient value of the feedback filtering to 0.5 were ranged from -61 dBm to - 52.5 dBm, which shows irregular and high values decrease slightly as much as about -2 dBm to -6 dBm as compared to general measurements. A distance calculation correction algorithm to improve the accuracy was applied, which confirmed that as the distance increases, the range of errors decreases. In conclusion, unstable signals were corrected using the RSSI measurement result filtering, and the distance calculation correction algorithm was applied and performed to reduce the range of errors. In addition, RGB colors were implemented by LED to indicate the distance determination and the signal stability.

• Journal of the Korean Geotechnical Society
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• v.15 no.5
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• pp.29-41
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• 1999

This Paper applied a simple strength parameter averaging method to double layered systems consisting of the strong sand layer overlying the soft clay deposit. This study derived a formula which defines a critical depth as the strength parameters, and used the correction parameter, $\alpha$ to reduce an error of the strength parameter averaging method. The results of the method were presented in the form of dimensionless charts and were compared with the results of several solutions proposed by Satyanarayana & Grag, Sreenivasulu, and Meyerhof & Hanna. The results of the proposed method coincided with the method of Meyerhof & Hanna and the results obtained from FLAC. But the Satyanarayana & Grag method and the Sreenivasulu method overestimated the bearing capacity. Consequently, the bearing capacity of foundation on sand layer overlying soft clay layer can be approximately estimated by using the proposed dimensionless charts.

• Journal of Korea Water Resources Association
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• v.51 no.9
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• pp.803-812
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• 2018

The purpose of this study is to develop Particle Swarm Optimization (PSO) automatic calibration algorithm with multi-objective functions by Python, and to evaluate the applicability by applying the algorithm to the Soil and Water Assessment Tool (SWAT) watershed modeling. The study area is the upstream watershed of Gongdo observation station of Anseongcheon watershed ($364.8km^2$) and the daily observed streamflow data from 2000 to 2015 were used. The PSO automatic algorithm calibrated SWAT streamflow by coefficient of determination ($R^2$), root mean square error (RMSE), Nash-Sutcliffe efficiency ($NSE_Q$), and especially including $NSE_{INQ}$ (Inverse Q) for lateral, base flow calibration. The results between automatic and manual calibration showed $R^2$ of 0.64 and 0.55, RMSE of 0.59 and 0.58, $NSE_Q$ of 0.78 and 0.75, and $NSE_{INQ}$ of 0.45 and 0.09, respectively. The PSO automatic calibration algorithm showed an improvement especially the streamflow recession phase and remedied the limitation of manual calibration by including new parameter (RCHRG_DP) and considering parameters range.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.11 no.1
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• pp.31-36
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• 2006

A study on estimation of the datum level is carried out by combining observed and simulated harmonic constants of 4 major tides ($M_2$tide, $S_2$tide, $K_2$tide, and $O_1$tide). In the coastal zone, the datum level can be estimated by using observed tide harmonic constants at tide station. The observed tide harmonic constants, however, cannot be used to calculate the datum level of the sea because of the lack of tide station. In order to estimate the datum level of the sea, it is necessary to adopt the simulated harmonic constants instead of the observed ones. In this study, the datum level is calculated by using the simulated harmonic constants which is modified by tuning coefficient based on relationship between observed and simulated harmonic constants at tide station. Tuning coefficient of sea is interpolated on TIN (Triangulated Irregular Network) which has node points at tide stations.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.279-283
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• 2018

하천의 조도계수는 흐름에 대한 하도의 저항 정도를 표시하는 지표로서, 하천의 다양한 수리 계산을 실시할 때 가장 중요한 기본 자료 중 하나이다. 이러한 조도계수는 하도의 형상, 하상 재료, 유량의 크기 등에 의해 영향을 받는다. 본 연구에서는 하천의 유량 규모에 따른 조도계수의 변화 정도를 수리 실험과 수치 모의를 통해 간접적으로 검토하였다. 유량 조건별 수리 실험은 한국건설기술연구원의 하천실험센터 내 직선 수로에서 수행하였고, 수치 모의는 HEC-RAS를 이용하였다. 유량 조건은 하천실험센터의 펌프 가동의 정도를 고려하여 5개로 구분하였고, 각각의 유량 조건에 대하여 유량을 실측하였다. 실측에 따른 유량의 규모는 $0.23{\sim}1.91m^3/s$로 나타났다. 각각의 유량 조건에 대하여 수치 모의의 검증을 위해 6개 지점에서 수위표와 초음파 수위계를 이용하여 수위를 계측하였고, 이 가운데 최하류 지점의 수위는 HEC-RAS 모형의 하류단 경계조건으로 이용하였다. 실험 하도 구간의 총 연장은 372 m 이고, 횡단구조물이 없는 지점을 제외하면 대부분 20 m 간격으로 총 21개의 하천 단면을 입력하여 HEC-RAS를 구성하였다. 각각의 유량 조건에 대한 수치 모의 모형은 5개 수위 계측 지점의 수위 오차가 최소화되도록 조도계수를 변화시켜 보정되었다. 그 결과, 각각의 유량 조건에 대한 수치 모의 결과의 평균 오차는 0.01~0.02 m로 계산치와 관측치가 매우 근사하였다. 결정된 조도계수는 0.041~0.075의 범위를 가지는 것으로 분석되었고, 유량의 증가에 따라 큰 폭으로 감소하다가 특정한 값에 수렴하는 것으로 검토되었다.

• Korean Journal of Agricultural and Forest Meteorology
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• v.24 no.4
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• pp.244-255
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• 2022

This study estimated and evaluated the high resolution (1km) gridded mountain meteorology data of daily mean, maximum and minimum temperature based on ASOS (Automated Surface Observing System), AWS (Automatic Weather Stations) and AMOS (Automatic Mountain Meteorology Observation System) in South Korea. The ASOS, AWS, and AMOS meteorology data which were located above 200m was classified as mountainous area. And the ASOS, AWS, and AMOS meteorology data which were located under 200m was classified as non-mountainous area. The bias-correction method was used for correct air temperature over complex mountainous area and the performance of enhanced daily coefficients based on the AMOS and mountainous area observing meteorology data was evaluated using the observed daily mean, maximum and minimum temperature. As a result, the evaluation results show that RMSE (Root Mean Square Error) of air temperature using the enhanced coefficients based on the mountainous area observed meteorology data is smaller as 30% (mean), 50% (minimum), and 37% (maximum) than that of using non-mountainous area observed meteorology data. It indicates that the enhanced weather coefficients based on the AMOS and mountain ASOS can estimate mean, maximum, and minimum temperature data reasonably and the temperature results can provide useful input data on several climatological and forest disaster prediction studies.

• The Korean Journal of Nuclear Medicine Technology
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• v.22 no.1
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• pp.15-22
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• 2018

Purpose Respiratory motion during PET/MRI acquisition may result in image blurring and error in measurement for volume and quantification of lesion. The aim of this study was to evaluate changes of quantitative accuracy, tumor size and image quality by applying MR based respiratory motion correction technique (MBRMCT) using integrated PET/MR scanner. Materials and Methods Data of 30 patients (aged $62.5{\pm}10.2y$) underwent $^{18}F-FDG$ liver PET/MR (Biograph mMR 3.0T, Siemens) study were collected. PET listmode data for 7 minutes was simultaneously acquired with maximum average gate (MAG), minimum time gate (MTG) and non gate (NG) T1 weighted MR images. Gated PET reconstruction was performed using mu-maps generated from MAG and MTG by setting 35% of efficiency window. Maximum SUV ($SUV_{max}$), peak SUV ($SUV_{peak}$), tumor size and full width at half maximum (FWHM) in the z-axis direction of MAG, MTG and NG PET images were evaluated. Results Compared to NG, mean $SUV_{max}$ and $SUV_{peak}$ were increased in MAG 13.15%(p<0.0001), 8.66%(p<0.0001), MTG 13.27%(p<0.0001), 8.80%(p<0.0001) and mean tumor size and FWHM were decreased in MAG 14.47%(p<0.0001), 15.49%(p=0.0004), MTG 14.89%(p<0.0001), 15.79%(p=0.0003) respectively. Mean $SUV_{max}$ and $SUV_{peak}$ of MTG were increased by 0.07%(p=0.8802), 0.13%(p=0.7766). Mean tumor size and FWHM of MTG were decreased by 0.49%(p=0.2786), 0.36%(p=0.2488) compared to MAG. There was no statistically significant difference between MAG and MTG which increase total scan time for about 7 and 2 minutes. Conclusion SUV, accuracy of tumor size and spatial resolution were improved in both of MAG and MTG by applying MBRMCT without installing additional hardware in liver PET/MR study. More accurate information can be provided with the increase of 2 minutes scan time if applying MTG of MBRMCT to various abdominal PET/MR studies affected by respiratory motion.