• Nuclear Engineering and Technology
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• 제55권12호
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• pp.4518-4526
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• 2023

NECP-SARAX is a neutronics analysis code system for advanced reactor developed by Nuclear Engineering Computational Physics Laboratory of Xi'an Jiaotong University. In past few years, improvements have been implemented in TULIP code which is the cross-section generation module of NECP-SARAX, including the treatment of resonance interface, considering the self-shielding effect in non-resonance energy range, hyperfine group method and nuclear library with thermal scattering law. Previous studies show that NECP-SARAX has high performance in both fast and thermal spectrum system analysis. The accuracy of TULIP code in fast and thermal spectrum system analysis is demonstrated preliminarily. However, a systematic verification and validation is still necessary. In order to validate the applicability of TULIP code for full energy range, 147 fast spectrum critical experiment benchmarks and 170 thermal spectrum critical experiment benchmarks were selected from ICSBEP and used for analysis. The keff bias between TULIP code and reference value is less than 300 pcm for all fast spectrum benchmarks. And that bias keeps within 200 pcm for thermal spectrum benchmarks with neutron-moderating materials such as polyethylene, beryllium oxide, etc. The numerical results indicate that TULIP code has good performance for the analysis of fast and thermal spectrum system.

• 대한임상검사과학회지
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• 제38권2호
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• pp.117-124
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• 2006

The analytical measurement range (AMR) is the range of analyte values that a method can directly measure on a specimen without any dilution, concentration, or other pretreatment not part of the usual assay process. The linearity of the AMR is its ability to obtain test results which are directly proportional to the concentration of analyte in the sample from the upper and lower limit of the AMR. The AMR validation is the process of confirming that the assay system will correctly recover the concentration or activity of the analyte over the AMR. The test specimen must have analyte values which, at a minimum, are near the low, midpoint, and high values of the AMR. The AMR must be revalidated at least every six months, at changes in major system components, and when a complete change in reagents for a procesure is introduced; unless the laboratory can demonstrate that changing the reagent lot number does not affect the range used to report patient test results. The AMR linearity was total protein (0-16.6), albumin (0-8.1), total bilirubin (0-18.1), alkaline phosphatase (0-1244.3), aspartate aminotransferase (0-1527.9), alanine aminotransferase (0-1107.9), gamma glutamyl transpeptidase (0-1527.7), creatine kinase (0-1666.6), lactate dehydrogenase (0-1342), high density lipoprotein cholesterol (0.3-154.3), sodium (35.4-309), creatinine (0-19.2), blood urea nitrogen (0.5-206.2), uric acid (0-23.9), total cholesterol (-0.3-510), triglycerides (0.7-539.6), glucose (0-672.7), amylase (0-1595.3), calcium (0-23.9), inorganic phosphorus (0.03-17.0), potassium (0.1-116.5), chloride (3.3-278.7). We are sure that materials for the AMR affect the evaluation of the upper limit of the AMR in the process system.

• International journal of advanced smart convergence
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• 제2권2호
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• pp.36-39
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• 2013

It is becoming more important as the growing of health information and increasing in cancer patients diagnose over the time gradually. Among the various types of cancer, we focuses on breast cancer diagnosis. The accuracy of breast cancer diagnosis is increasing when the diagnosis is based on evidence and statistics. To do this we use the weka data mining tools and analysis algorithms significantly associated with the decision tree uses rules. In addition, the data pre-processing and cross-validation are used to increase the reliability of the results. The number and cause of the disease becomes important to increase evidence-based medical doctors. As the evidence-based medical, the data obtained from patients in the past through the disease by calculating the probability for future patients to diagnose and predict disease and treatment plan. It can be found by improving the survival rate plays an important role.

• 아동학회지
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• 제32권4호
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• pp.37-62
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• 2011

The purpose of this study was to develop an appropriate scale for evaluating early years children's English textbooks and to confirm the validity and reliability for the scale thus developed. The scale was administered to 563 Korean early childhood English teachers. Exploratory Factor Analysis (EFA) of the 24 item scale demonstrated Cronbach' ${\alpha}$ = .94 for internal consistency of the total items. Confimatory Factor Analysis (CFA) supported a four-factor structure. Cross-Validation for the retest accepted the four-factors. Those four factors were as follows; Contents & Organization as factor 1, Illustrations & Designs as factor 2, Materials & Topics, as factor 3 and Objectives as factor 4. The author suggests that these afore mentioned factors will prove to be most useful for evaluating the children's English textbooks which are apparently published in an often quite indiscriminant manner.

• Nuclear Engineering and Technology
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• 제42권5호
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• pp.500-519
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• 2010

AEGIS is a lattice physics code incorporating the latest advances in lattice physics computation, innovative calculation models and efficient numerical algorithms and is mainly used for light water reactor analyses. Though the primary objective of the AEGIS code is the preparation of a cross section set for SCOPE2 that is a three-dimensional pin-by-pin core analysis code, the AEGIS code can handle not only a fuel assembly but also multi-assemblies and a whole core geometry in two-dimensional geometry. The present paper summarizes the major calculation models and part of the verification/validation efforts related to the AEGIS code.

• 대한산업공학회지
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• 제30권1호
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• pp.58-64
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• 2004

In order to determine the level of safety on highway driving, the relationship between the psychophysiological signal and driving condition was investigated. In particular, a Demand-Effort model was conceptualized and used in this study to diagnose the suitability of driving by reading the patterns of psychophysiological signals. To run the model, threshold values were determined to categorize the high, moderate and low level of effort. To examine the sensitivity of the model, a cross-validation process was performed by collecting additional data. Further investigation need to be conducted to improve the sensitivity of the model for practical application.

• International Journal of Fluid Machinery and Systems
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• 제4권1호
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• pp.150-160
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• 2011

This study focuses on the Achard turbine, a vertical axis, cross-flow, marine current turbine module. Similar modules can be superposed to form towers. A marine or river hydropower farm consists of a cluster of barges, each gathering several parallel rows of towers, running in stabilized current. Two-dimensional numerical modelling is performed in a horizontal cross-section of all towers, using FLUENT and COMSOL Multiphysics. Numerical models validation with experimental results is performed through the velocity distribution, depicted by Acoustic Doppler Velocimetry, in the wake of the middle turbine within a farm model. As long as the numerical flow in the wake fits the experiments, the numerical results for the power coefficient (turbine efficiency) are trustworthy. The overall farm efficiency, with respect to the spatial arrangement of the towers, was depicted by 2D modelling of the unsteady flow inside the farm, using COMSOL Multiphysics. Rows of overlapping parallel towers ensure the increase of global efficiency of the farm.

• 대한원격탐사학회지
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• 제37권1호
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• pp.123-137
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• 2021

In this study, we performed cross calibration of KOMPSAT-3 AEISS imaging sensor with reference to normalized pixels in the Landsat 8 OLI scenes of homogenous ROI recorded by both sensors between January 2014 and December 2019 at the Libya 4 PICS. Cross calibration is using images from a stable and well-calibrated satellite sensor as references to harmonize measurements from other sensors and/or characterize other sensors. But cross calibration has two problems; RSR and temporal difference. The RSR of KOMPSAT-3 and Landsat 8 are similar at the blue and green bands. But the red and NIR bands have a large difference. So we calculate SBAF of each sensor. We compared the SBAF estimated from the TOA Radiance simulation with KOMPSAT-3 and Landsat 8, the results displayed a difference of about 2.07~2.92% and 0.96~1.21% in the VIS and NIR bands. Before SBAF, Reflectance and Radiance difference was 0.42~23.23%. Case of difference temporal, we simulated by 6S and Landsat 8 for alignment the same acquisition time. The SBAF-corrected cross calibration coefficients using KOMPSAT-3, 6S and simulated Landsat 8 compared to the initial cross calibration without correction demonstrated a percentage difference in the spectral bands of about 0.866~1.192%. KOMPSAT-3 maximum uncertainty was estimated at 3.26~3.89%; errors due to atmospheric condition minimized to less than 1% (via 6S); Maximum deviation of KOMPSAT-3 DN was less than 1%. As the result, the results affirm that SBAF and 6s simulation enhanced cross-calibration accuracy.

• 분석과학
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• 제24권6호
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• pp.544-555
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• 2011

본 연구는 농약류에 대하여 구조-활성의 정량적 관계(QSAR)를 이용하여 무지개 송어(학명: Oncorhynchus mykiss)의 급성 독성을 예측-분석하는 과정을 수행하였다. 모델 구현을 위해 사용된 275종의 농약류에 대한 수중 독성(96h $LC_{50}$) 값은 DEMETRA프로젝트의 데이터를 사용하였다. 예측 모델에 사용된 2차원 분자 표현자는 PreADMET프로그램으로부터 계산을 하였고, 선형 (다중 선형 회귀 방법)모델과 비선형(서포트 벡터 머신, 인공 신경망) 학습 방법들은 실험값과 예측값의 적합도를 고려하여 최적화 되었다. 데이터 전처리 과정을 거친 뒤에, 5묶음 교차 검증과정을 포함한 모집단 기반 전진 선택법을 통해서 각 학습 방법의 최적의 표현자 집합을 결정하였다. 가장 좋은 결과는 SVM 방법 ($R^2_{CV}$=0.677, RMSECV=0.887, MSECV=0.674) 이었고, EU의 규제 기준에 따른 분류에서는 87%의 정확도를 나타내었다. MLR방법을 통해서는 무지개 송어의 급성 독성에 대하여 독성을 나타내는 농약류의 구조적 특징과 지질 층과의 상호작용을 설명할 수 있었다. 개발된 모든 모델들은 5묶음 교차 검증과 Y-scrambling test을 통해 검증되었다.

• 한국수자원학회논문집
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• 제49권3호
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• pp.263-273
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• 2016

기존에 레이더 강우자료의 합성에만 국한되었던 조건부 합성방법을 지상관측 토양수분과 위성관측 토양수분 자료에 적용하였다. 연구에 사용한 토양수분 자료는 농촌진흥청에서 제공하는 24개 관측소의 한시간 단위의 지상관측토양수분자료와 AQUA 위성의 Advanced Microwave Scanning Radiometer-Earth observing system (AMSR-E) 센서에서 관측된 토양수분 자료를 사용하였다. 교차검증방법(leave one out cross validation)을 사용하여 조건부 합성방법의 예측성능을 평가 하였고, 관측소별 교차검증 방법의 결과를 공간분포 시켜서 지역적인 특성을 분석하였다. 이 연구에서 도출된 결과는 다음과 같다. (1) 총 113일의 분석 기간 중 100일 이상의 기간에 대하여 조건부합성방법을 적용하였을 경우 AMSR-E 자료에 비해 지상관측자료와의 편차가 감소하는 것으로 나타났다. (2) 조건부 합성 방법의 예측 성능은 관측소의 밀도와 밀접한 관련을 나타내었으며, 관측소가 많이 밀집되어있는 한반도의 서쪽 지역에서 예측성능이 우세하게 나타났다. (3) 강우가 발생하지 않는 기간에 대한 AMSR-E의 낮은 정확도와 달리 조건부 합성방법은 무강우 기간에 대해서도 높은 예측성능을 나타내었다. 본 연구의 결과는 미계측 지역에 대한 토양수분을 추정하는 조건부 합성방법의 적용 가능성을 제시한다.