• International Journal of Naval Architecture and Ocean Engineering
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• 제12권1호
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• pp.354-366
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• 2020

This work mainly focuses on determination of the fully plastic J-integral solutions for welded center cracked plates subjected to remote tension loading. Detailed three-dimensional elasticeplastic Finite Element Analyses (FEA) were implemented to compute the fully plastic J-integral along the crack front for a wide range of crack geometries, material properties and weld strength mismatch ratios for 900 cases. According to the database generated from FEA, Back-propagation Neural Network (BPNN) model was proposed to predict the values and distributions of fully plastic J-integral along crack front based on the variables used in FEA. The determination coefficient R2 is greater than 0.99, indicating the robustness and goodness of fit of the developed BPNN model. The network model can accurately and efficiently predict the elastic-plastic J-integral for weld centerline crack, which can be used to perform fracture analyses and safety assessment for welded center cracked plates with varying strength mismatch conditions under uniaxial loading.

• 한국식품영양학회지
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• 제8권1호
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• pp.23-31
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• 1995

To provide the basic information of buckwheat insoluble dietary fiber (IDF) and efficient material for the buckwheat processed foodstuffs, buckwheat (Fagopyrum egculentum Moench) was germinated at 1$0^{\circ}C$ for 7 days and the contents and composition of the insoluble dietary fiber were examined at 24 hour intervals. The NDF and ADF contents in ungerminated seeds were 20.27%, 18.95% on dry weight basis, respectively. During the germination period, the NDF and ADF contents increased gradually. The cellulose, hemicellulose and lignin contents in ungerminated seeds were 11.10%, 1.32% and 7.85%, respectively. During the germination period, the cellulose and lignin contents increased. However, there was no significant change in the hemicellulose contents. The composition of cellulose and hemicellulose in the NDF decreased with germination time, whereas that of lignin increased. The IDF contents obtained by Prosky method were higher than the NDF contents obtained by Van Soest method. However, the IDF and NDF contents were closely correlated(r=0.9785, p<0.01). The cellulose(Xl), hemicellulose(X2), lignin(X3) and soluble dietary fiber (SDF) (BL) showed the significant regression equation(p<0.001) with the root length(Y). The multiple regression equation was Y = -12.1306 + 0.9213xl - 0.1615$\times$2 + 0.1071$\times$3 + 0.7397$\times$4 and R2(coefficient of determination) was 0.942.

• 물과 미래
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• 제14권1호
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• pp.51-58
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• 1981

본 연구는 하천일류량을 추계학적으로 분석하여 그 특성을 구명하고 이에 적합한 모의발생 모델을 설정하여 검토하는데 목적을 두고 있다. 한강, 낙동강 및 금강유역의 주요관측지점의 일류량으로부터 통계학적 특성인 Correlogram 및 Spectrum 분석에 의한 시계별 특성을 구하였으며 모의발생모델의 결정에 위해 Markov 모델의 Correlogram을 원자료의 그것과 비교한 결과에 따라 모의 발생 모델의 적합도를 예측할 수 있었으며, 또한 다차수모델의 결정계수 R$$에 대한 해석으로부터 다차수 모델의 차수를 결정했으며, 모의발생에 있어서는 수정 Markov 모델과 다차수 모델을 적용한 결과 대체적으로 2차 수정 Markov 모델과 2차 다차수모델이 최적의 결과를 보여주었다.

• 한국농공학회논문집
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• 제53권5호
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• pp.35-42
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• 2011

This study is to check the applicability of SWAT-APEX (Soil and Water Assessment Tool-Agricultural Policy / Environmental eXtender) model as combined watershed and field models by applying the APEX to paddies in a watershed (465.1 $km^2$) including Yedang reservoir. Firstly, the SWAT were calibrated with 3 years (2000~2002) daily streamflow and monthly water quality (T-N and T-P) data, and validated for another 3 years (2003~2005) data. The average Nash-Sutcliffe model efficiency (ME) of streamflow during validation was 0.73, and the coefficient of determination ($R^2$) of T-N and T-P were 0.77 and 0.73 respectively. Next, running the SWAT-APEX model with the SWAT calibrated parameters for paddies, the $R^2$ of T-N and T-P were 0.80 and 0.76 respectively. The results showed that SWAT-APEX model was more correctly predicted for T-N and T-P loads than SWAT model. The difference results between watershed and field models was predicted to have substantial impact on NPS loads, especially on T-N and T-P loads. Therefore, to improve negative NPS load simulations should be considered the model characteristics as simulating mechanism to properly select the NPS model for agricultural watershed.

• Food Science and Biotechnology
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• 제18권4호
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• pp.978-984
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• 2009

An analytical method for the simultaneous determination of 9 quinolones (QNs) in porcine, chicken, and bovine muscles was developed and validated using liquid chromatography-fluorescence detector (LC-FLD). The samples were extracted using a liquid-liquid extraction (LLE) process. Chromatographic separation was achieved on a reverse phase $C_8$ column with a gradient elution using a mobile phase of 200 mM ammonium acetate buffer (pH 4.5) and acetonitrile (ACN). The proposed method was validated according to the Food and Drug Administration (FDA) guideline for bioanalytical assay procedures. Recoveries of QNs were 83.1-111.9% with relative standard deviations (RSDs) below 15%. Linearity within a range of 30-500 ${\mu}g/kg$ was obtained with the correlation coefficient ($R^2$) of 0.9967-0.9999. The limits of detection (LOD) were 1-16 ${\mu}g/kg$. These values were lower than the maximum residues limits (MRLs) established by the European Union (EU). The present method was successfully applied to determine QNs in edible muscles.

• 한국농공학회논문집
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• 제46권5호
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• pp.107-116
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• 2004

A GIS-based paddy inundation simulation system which is capable of simulating temporal and spatial inundation processes was established and applied in this paper. The system is composed of HEC-GeoHMS, and HEC-GeoRAS modules which interface the GIS and flood runoff models, and HEC-HMS, and HEC-RAS models which estimate the flood runoff. It was used to simulate storm runoff and inundation for a small rural watershed, the Baran HP#7, which is 10.69 $km^2$ in size. The simulated peak runoff, time to peak, and total direct runoff for eight storms were compared with the observed data. The results showed that the coefficient of determination ($R^2$) for the observed peak runoff was 0.99 and an error, RMSE, 11.862 $m^3$/s for calibration stages. In the model verification, $R^2$ was 0.99 and RMSE 1.296 $m^3$/s. Paddy inundation for each paddy growing stages in study watershed were estimated using verified inundation simulation system when probability rainfall was applied.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2017년도 학술발표회
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• pp.136-136
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• 2017

본 연구의 목적은 이중편파 레이더 강우자료와 현재 실무에서 널이 이용되고 있는 레이더 강우보정 기법 적용에 따른 격자기반 분포형 강우-유출 모형인 KIMSTORM (KIneMatic wave STOrm Runoff Model)을 이용하여 유출해석을 수행하여 보정된 레이더 강우자료를 적용한 분포형 수문모형의 효율성을 검토하는데 있다. 남강댐 유역($2,293km^2$)을 대상으로 2014년 8월 태풍 이벤트(나크리), 2016년 10월 태풍 이벤트(차바)에 대하여 비슬산 레이더 강우자료를 사용하였다. 강우자료의 보정은 21개 지점 강우와 레이더 강우를 이용하여 조건부 합성 보정기법을 이용하였으며, 누적 강우량 그리고 면적 강우량 모두 관측치를 잘 재현함을 확인 할 수 있었다. $R^2$(coefficient of determination), ME (model efficiency), VCI (volume conservation index)를 이용하여 적용성을 평가하였다. 2016년 태풍 차바 이벤트에서의 유출 모형의 보정결과 조건부 합성 보정기법을 적용하기전 $R^2$, ME는 각각 0.75, 0.13으로 나타났고 조건부 합성 보정기법을 적용하였을 경우 각각 0.87, 0.82로 유출량 정확도가 크게 향상됨을 나타냈다. 다양한 국지성 집중호우 이벤트는 레이더 강우자료의 과대 및 과소추정을 유발하는 오차의 원인으로 조건부 합성 보정기법은 이러한 오차를 줄여 강우-유출 모형의 유출분석 결과 비교시 첨두유량 및 정량적인 면에서 실측 유량과 가깝게 모의되는 결과를 나타냈다.

• Animal Bioscience
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• 제37권7호
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• pp.1196-1203
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• 2024

Objective: A study was conducted to quantify the performance differences of the near-infrared spectroscopy (NIRS) calibration models developed with different degrees of hay sample preparations. Methods: A total of 227 imported alfalfa (Medicago sativa L.) and another 360 imported timothy (Phleum pratense L.) hay samples were used to develop calibration models for nutrient value parameters such as moisture, neutral detergent fiber, acid detergent fiber, crude protein, and in vitro dry matter digestibility. Spectral data of hay samples prepared by milling into 1-mm particle size or unground were separately regressed against the wet chemistry results of the abovementioned parameters. Results: The performance of the developed NIRS calibration models was evaluated based on R², standard error, and ratio percentage deviation (RPD). The models developed with ground hay were more robust and accurate than those with unground hay based on calibration model performance indexes such as R² (coefficient of determination), standard error, and RPD. Although the R² of calibration models was mainly greater than 0.90 across the feed value indexes, the R² of cross-validations was much lower. The R² of cross-validation varies depending on feed value indexes, which ranged from 0.61 to 0.81 in alfalfa, and from 0.62 to 0.95 in timothy. Estimation of feed values in imported hay can be achievable by the calibrated NIRS. However, the NIRS calibration models must be improved by including a broader range of imported hay samples in the modeling. Conclusion: Although the analysis accuracy of NIRS was substantially higher when calibration models were developed with ground samples, less sample preparation will be more advantageous for achieving rapid delivery of hay sample analysis results. Therefore, further research warrants investigating the level of sample preparations compromising analysis accuracy by NIRS.

• 한국농공학회지
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• 제45권6호
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• pp.119-127
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• 2003

This paper documents recent efforts to validate the GIS-based hydrologic models, HEC-HMS and HEC-GeoHMS by the US Army Corps of Engineers. HMS and Geo-HMS were used to simulate storm runoff from a small rural watershed, the Balan HS#6. The watershed is 3.85 $\textrm{km}^2$ in size. The watershed topographic, soils, and land use data were processed using the GIS tool fur the models. Input parameters were retrieved and calibrated with the field data. The simulated peak runoff, time to peak, and total direct runoff fer twenty three storms were compared with the observed data. The results showed that the coefficient of determination($R^2$) for the observed peak runoff was 0.95 and an error, RMSE, 3.08 $\textrm{m}^3$/s for calibration stages. In the model verifications, $R^2$ was 0.89 and RMSE 6.79 $\textrm{m}^3$/s, which were slightly less accurate than the calibrated data. The simulated flood hydrographs were well compared to the observed. It was concluded that HMS and GeoHMS are applicable to flood analyses for rural watersheds.

• The Plant Pathology Journal
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• 제28권2호
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• pp.149-155
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• 2012

A field trial was conducted in 2009/2010 and 2010/2011 growing seasons at Giza Agricultural Research Station to examine correlations between some biochemical componets and powdery mildews ($PM_s$) resistance in flax cultivars. Nine flax cultivars could be divided into five distinct groups, i.e., highly susceptible (Cortland and C.I. 2008), moderately susceptible (Giza 7, and Marshall), moderately resistant (Cass), resistant (Koto, Dakota and Wilden), and highly resistant (Ottowa 770B). The cultivars showed considerable variation in PM severity ranged from 8.05 on Ottowa 770B to 97.02% on Cortland. Total soluble proteins, total phenols, antioxidant enzymes (peroxidase and polyphenoloxidase), ascorbic acid, tocopherol, and malondialdehyde (MDA), were determined in uninfected leaves of the tested cultivars. Pearson's correlation coefficient was calculated to measure the degree of association between PM severity and each component. All components showed significant (P < 0.05) or highly significant (P < 0.01) negative correlation with PM severity except MDA, which showed positive correlation (P < 0.01). Linear regression analysis was used to evaluate the causal relationship between the biochemical components (independent variables) and PM severity (dependent variable). Coefficient of determination ($R^2$) values of the generated models ranged from 48.76 to 77.15%. Tocopherol, MDA, and proteins were the most important contributors to the total variation in PM severity as the $R^2$ values of their models were 71.78, 75.28, and 77.15%, respectively. The results of the present study suggest that tocopherol, MDA, and proteins in uninfected leaves can be used as biochemical markers to predict PM resistance in flax.