• 한국지반신소재학회논문집
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• 제2권1호
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• pp.27-37
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• 2003

섬유혼합토의 전단강도 및 마찰 특성에 영향을 미치는 요인으로는 혼합되는 흙의 입도분포와 흙입자의 형상 등과 같은 흙의 공학적 특성과 섬유의 형상, 길이, 직경, 인장강도, 탄성계수, 마찰계수, 섬유 혼합률 등과 같은 섬유의 물리적 역학적 특성 그리고 구속응력, 다짐상태 등의 외적 인자 등을 들 수 있다. 본 연구에서는 흙종류, 섬유종류, 섬유혼합률 그리고 다짐도에 따른 섬유혼합토의 마찰특성을 평가하기 위하여 일련의 전단마찰시험 및 인발시험을 수행하였다. 본 연구에서는 공학적으로 그 특성이 다소 불량한 두 가지 종류의 흙시료(통일분류법상 SM 및 ML)에 세 가지 종류의 폴리프로필렌 섬유(망사 38mm, 망사 60mm 및 단사 60mm)를 0.2% 및 0.3%의 혼합률로 혼합한 섬유혼합토를 다짐도 85% 및 95%로 조성하여 실험을 수행하였고, 보강재로는 지오그리드를 사용하였다.

• Nuclear Engineering and Technology
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• 제49권4호
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• pp.744-751
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• 2017

The fatigue crack propagation behaviors of Z3CN20.09M duplex stainless steel (DSS) were investigated by studying oxide films of specimens tested in $290^{\circ}C$ water and air. The results indicate that a full oxide film that consisted of oxides and hydroxides was formed in $290^{\circ}C$ water. By contrast, only a half-baked oxide film consisting of oxides was formed in $290^{\circ}C$ air. Both environments are able to deteriorate the elastic modulus and hardness of the oxide films, especially the $290^{\circ}C$ water. The fatigue lives of the specimens tested in $290^{\circ}C$ air were about twice of those tested in $290^{\circ}C$ water at all strain amplitudes. Moreover, the crack propagation rates of the specimen tested in $290^{\circ}C$ water were confirmed to be faster than those tested in $290^{\circ}C$ air, which was thought to be due to the deteriorative strength of the oxide films induced by the mutual promotion of oxidation and crack propagation at the crack tip. It is noteworthy that the crack propagation can be postponed by the ferrite phase in the DSS, especially when the specimens were tested in $290^{\circ}C$ water.

• Nuclear Engineering and Technology
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• 제48권2호
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• pp.533-544
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• 2016

This paper provides a reference to determine the seal performance of metallic O-rings for a reactor pressure vessel (RPV). A nonlinear elastic-plastic model of an O-ring was constructed by the finite element method to analyze its intrinsic properties. It is also validated by experiments on scaled samples. The effects of the compression ratio, the geometrical parameters of the O-ring, and the structure parameters of the groove on the flange are discussed in detail. The results showed that the numerical analysis of the O-ring agrees well with the experimental data, the compression ratio has an important role in the distribution and magnitude of contact stress, and a suitable gap between the sidewall and groove can improve the sealing capability of the O-ring. After the optimization of the sealing structure, some key parameters of the O-ring (i.e., compression ratio, cross-section diameter, wall thickness, sidewall gap) have been recommended for application in megakilowatt class nuclear power plants. Furthermore, air tightness and thermal cycling tests were performed to verify the rationality of the finite element method and to reliably evaluate the sealing performance of a RPV.

• Nuclear Engineering and Technology
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• 제47권7호
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• pp.791-803
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• 2015

The effective cross sections (XSs) in the direct whole core calculation code nTRACER are evaluated by the equivalence theory-based resonance-integral-table method using the WIMS-based library as an alternative to the subgroup method. The background XSs, as well as the Dancoff correction factors, were evaluated by the enhanced neutron-current method. A method, with pointwise microscopic XSs on a union-lethargy grid, was used for the generation of resonance-interference factors (RIFs) for mixed resonant absorbers. This method was modified by the intermediate-resonance approximation by replacing the potential XSs for the non-absorbing moderator nuclides with the background XSs and neglecting the resonance-elastic scattering. The resonance-escape probability was implemented to incorporate the energy self-shielding effect in the spectrum. The XSs were improved using the proposed method as compared to the narrow resonance infinite massbased method. The RIFs were improved by 1% in $^{235}U$, 7% in $^{239}Pu$, and >2% in $^{240}Pu$. To account for thermal feedback, a new feature was incorporated with the interpolation of pre-generated RIFs at the multigroup level and the results compared with the conventional resonance-interference model. This method provided adequate results in terms of XSs and k-eff. The results were verified first by the comparison of RIFs with the exact RIFs, and then comparing the XSs with the McCARD calculations for the homogeneous configurations, with burned fuel containing a mixture of resonant nuclides at different burnups and temperatures. The RIFs and XSs for the mixture showed good agreement, which verified the accuracy of the RIF evaluation using the proposed method. The method was then verified by comparing the XSs for the virtual environment for reactor applicationbenchmark pin-cell problem, as well as the heterogeneous pin cell containing burned fuel with McCARD. The method works well for homogeneous, as well as heterogeneous configurations.

• Genomics & Informatics
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• 제19권1호
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• pp.10.1-10.7
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• 2021

Although many models have been proposed to accurately predict the response of drugs in cell lines recent years, understanding the genome related to drug response is also the key for completing oncology precision medicine. In this paper, based on the cancer cell line gene expression and the drug response data, we established a reliable and accurate drug response prediction model and found predictor genes for some drugs of interest. To this end, we first performed pre-selection of genes based on the Pearson correlation coefficient and then used ElasticNet regression model for drug response prediction and fine gene selection. To find more reliable set of predictor genes, we performed regression twice for each drug, one with IC₅₀ and the other with area under the curve (AUC) (or activity area). For the 12 drugs we tested, the predictive performance in terms of Pearson correlation coefficient exceeded 0.6 and the highest one was 17-AAG for which Pearson correlation coefficient was 0.811 for IC₅₀ and 0.81 for AUC. We identify common predictor genes for IC₅₀ and AUC, with which the performance was similar to those with genes separately found for IC₅₀ and AUC, but with much smaller number of predictor genes. By using only common predictor genes, the highest performance was AZD6244 (0.8016 for IC₅₀, 0.7945 for AUC) with 321 predictor genes.

• 대한원격탐사학회지
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• 제39권5_1호
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• pp.669-681
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• 2023

과일 나무의 생육을 평가하는 중요한 지표인 엽록소 함량을 추정하는데 비교적 많은 노동력의 투입이 요구되고 오랜 시간이 소요되는 기존의 파괴 조사 대신 비파괴적 조사 방식인 원격탐사기술을 적용하기 위한 연구가 시도되고 있다. 이 연구에서는 2년(2021, 2022) 간 무인기 기반의 초분광 영상을 이용하여 배나무 잎의 엽록소 함량을 비파괴적으로 추정하는 연구를 수행하였다. 영상 처리로 추출된 배나무 캐노피(canopy)의 단일 band 반사율은 시간 변화에 따라 불안정한 복사 효과를 최소화하기 위해 밴드비화(band rationing) 되었다. 밴드비(band ratios)를 입력 변수로 머신러닝 알고리즘인 elastic-net, k-nearest neighbors (KNN)과 support vector machine을 사용하여 추정(calibration, validation) 모델들을 개발하였다. Full band ratios 기반 추정 모델들의 성능과 비교하여 계산 비용 절감과 재현성 향상에 유리한 key band ratios를 선정하였다. 결과적으로 모든 머신러닝 모델에서 full band ratios를 이용한 calibration에 coefficient of determination (R²)≥0.67, root mean squared error (RMSE)≤1.22 ㎍/cm², relative error (RE)≤17.9%)와 validation에 R²≥0.56, RMSE≤1.41 ㎍/cm², RE≤20.7% 성능을 비교하였을 때, key band ratios 네 개가 선정되었다. 머신러닝 모델들 사이에 validation 성능에는 비교적 큰 차이가 없어 calibration 성능이 가장 높았던 KNN 모델을 기준으로 삼았으며, 그 key band ratios는 710/714, 718/722, 754/758, 758/762 nm가 선정되었다. Calibration에서 R²=0.80, RMSE=0.94 ㎍/cm², RE=13.9%와 validation에서 R²=0.57, RMSE=1.40 ㎍/cm², RE=20.5%를 나타내었다. Validation의 기준으로 한 성능 결과는 배나무 잎 엽록소 함량을 추정하기에 충분하지 않았지만, 앞으로의 연구에 기준이 될 key band ratios를 선정했다는 것에 의미가 있다. 추후 연구에서는 추정 성능을 향상하기 위해 지속적으로 추가 데이터세트를 확보하여 선정된 key band ratios의 신뢰성 검증과 함께 실제 과원에 재현 가능한 추정 모델로 고도화할 필요가 있다.

• 한국산림과학회지
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• 제106권3호
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• pp.288-299
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• 2017

이 연구는 건조스트레스가 수리취의 생리적 반응에 미치는 영향을 알아보고자 수행하였으며, 건조스트레스는 25일 간의 단수처리를 통해 유도하였다. 건조스트레스가 진행됨에 따라 새벽 녘 수분포텐셜(${\Psi}_{pd}$)과 정오의 수분포텐셜(${\Psi}_{mid}$)이 모두 감소하였으며, 수분불포화도(WSD)는 약 7배 증가하였다. 특히 일중 수분포텐셜차(${\Psi}_{pd}-{\Psi}_{mid}$)는 처리 후 10일까지 0.22~0.18 MPa 범위로 큰 차이를 나타냈으나 이후에는 차이가 크게 줄어드는 경향을 보였다. 수리취는 건조스트레스 처리 후 15일부터 기공전도도와 기공증산속도의 감소가 두드러졌고, 처리 20일 이후에는 최대광합성 속도와 순양자수율 역시 큰 폭으로 감소한 반면 수분이용효율은 반대의 경향을 보였다. 이것은 기공을 통한 $CO_2$와 수분의 조절이 원활하지 못해 광합성량의 감소가 일어난 것을 의미한다. JIP 분석을 통해 단수처리 15일 이후에 기능지수($PI_{ABS}$) 및 에너지전달 효율의 감소가 두드러진 것으로 나타났으며, 광계 2의 활성이 감소한 것을 보여준다. 엽의 원형질 분리시 삼투포텐셜 ${\Psi}_o{^{tlp}}$은 -0.4 MPa, 최대포수시의 삼투포텐셜 ${\Psi}_o{^{sat}}$은 -0.35 MPa의 삼투적 적응 반응을 나타냈으며, 최대탄성계수($E_{max}$)의 탄성적 적응은 9.4 MPa로 나타나 수리취는 건조스트레스에 따라 삼투적 적응과 탄성적 적응이 모두 나타나는 것을 알 수 있었다. Vo/DW, Vt/DW와 같은 수분특성인자는 건조스트레스에 따라 증가되는 것으로 나타났다. 결과적으로 수리취는 새벽녘 엽수분포텐셜이 -0.93 MPa 이하로 저하되면 광합성 활성의 감소가 크게 나타나고, 건조스트레스에 따라 삼투적 적응과 탄성적 적응이 나타나 이것이 이 식물의 중요한 적응방법임을 알 수 있었다.

• 수산해양기술연구
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• 제43권4호
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• pp.281-290
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• 2007

This study was aimed not only to develop the gill net and trap made of biodegradable monofilaments in order to prevent a ghost fishing and to protect marine ecosystem, but also to analyze their spinning process and physical properties. Results showed that the spinning speed of biodegradable polybutylene succinate(PBS) monofilament was estimated to be approximately 100m/min when spinning temperature and cooling water temperature were adjusted at $180^{\circ}C$ and $3^{\circ}C$, respectively. The breaking loads of PBS monofilaments were estimated to be $35.3kg/mm^2$ at ${\phi}0.2mm$, $46.5kg/mm^2$ at ${\phi}0.3mm$, and $49.7kg/mm^2$ at ${\phi}0.4mm$ in the dry condition, respectively. However, its breaking loads in the wet condition were reduced by 2.4-5.5%, compared to those in the dry condition. The knotted strength of PBS monofilament at ${\phi}0.2mm$ was estimated to be 98.6% of PE in the dry condition. The breaking load of PBS monofilament at ${\phi}0.3mm$ was evaluated to be 81.8% of PA, and its softness showed 3 times less than that of PA in the wet condition. The breaking load of PBS monofilament at ${\phi}0.4mm$ was 95.3% of PA, and its softness showed 1.6 times less than that of PA in the wet state. However, the load elastic elongations of two kinds of monofilaments were estimated to be 1% higher than that of PA.

• Tuberculosis and Respiratory Diseases
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• 제86권3호
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• pp.203-215
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• 2023

Background: Surgical resection is the standard treatment for early-stage lung cancer. Since postoperative lung function is related to mortality, predicted postoperative lung function is used to determine the treatment modality. The aim of this study was to evaluate the predictive performance of linear regression and machine learning models. Methods: We extracted data from the Clinical Data Warehouse and developed three sets: set I, the linear regression model; set II, machine learning models omitting the missing data: and set III, machine learning models imputing the missing data. Six machine learning models, the least absolute shrinkage and selection operator (LASSO), Ridge regression, ElasticNet, Random Forest, eXtreme gradient boosting (XGBoost), and the light gradient boosting machine (LightGBM) were implemented. The forced expiratory volume in 1 second measured 6 months after surgery was defined as the outcome. Five-fold cross-validation was performed for hyperparameter tuning of the machine learning models. The dataset was split into training and test datasets at a 70:30 ratio. Implementation was done after dataset splitting in set III. Predictive performance was evaluated by R² and mean squared error (MSE) in the three sets. Results: A total of 1,487 patients were included in sets I and III and 896 patients were included in set II. In set I, the R² value was 0.27 and in set II, LightGBM was the best model with the highest R² value of 0.5 and the lowest MSE of 154.95. In set III, LightGBM was the best model with the highest R² value of 0.56 and the lowest MSE of 174.07. Conclusion: The LightGBM model showed the best performance in predicting postoperative lung function.