• 한국인터넷방송통신학회논문지
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• 제10권5호
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• pp.1-5
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• 2010

본 논문은 열연 공정을 거친 철강 강판에 형성된 산화철 층, 즉 scale 층의 두께를 유전체 렌즈 안테나를 이용하여 측정하는 방법을 소개하였다. 유전체 렌즈 안테나는 X 밴드 대역에서 주파수에 독립적인 특성을 가지며, 혼 안테나에서 방사되는 구면파를 초점이 형성되는 평면에 평면파를 형성하는 역할을 한다. 이러한 동작원리를 이용하여 철강 강판에 형성된 scale 층에 완전 도체와 유전체로 형성된 two-layer 구조에 직각 입사하는 평면파의 이론적 해석이 적용될 수 있다. Scale의 두께를 도출해 내는 과정에서 유전체 렌즈의 영향을 최소화하기 위한 calibration 과정이 삽입되었으며, 이로 인한 반사 계수 위상의 오차가 발생하였다. 이러한 위상 오차에 의한 scale 두께의 오차를 줄이기 위하여, 수치적으로 regression 방법을 사용하였으며, 기존의 iteration 방법과 비교하여, 주기적으로 얻어지는 두께의 값이 아닌 단일 두께 값을 얻어낼 수 있었다.

• 한국추진공학회지
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• 제6권1호
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• pp.21-29
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• 2002

하이브리드 연소 시스템은 안정된 작동조건이나 안전성 면에서 많은 장점을 가지고 있는 반면 기존의 하이브리드 모터는 고체 추진 로켓모터보다 낮은 연료 regression율과 연소효율은 갖는 단점이 있다. 따라서 최근의 연구들은 하이브리드 로켓모터의 연소실 체적의 제한과 연료의 regression율을 향상시키는데 그 초점을 맞추고 있다. 본 연구는 하이브리드 로켓 엔진의 연소과정을 수치적으로 해석하였다. 난류연소는 eddy breakup 모델을 이용하였으며 soot의 생성 및 산화를 다루기 위하여 Hiroyasu와 Nagle and Strickland-Constable 모델을 적용하였다. 복사열전달은 유한체적법을 이용하여 계산하였으며 고체 연료 벽면에서의 분출 효과로 야기되는 대류열전달의 불확실성을 줄이기 위하여 낮은 레이놀즈 수 $\kappa-\varepsilon$ 난류모델을 적용하였다. 계산된 수치결과를 토대로 선회 유동을 가지는 하이브리드 로켓 엔진의 난류연소과정에 대하여 상세히 기술하였다.

• Corrosion Science and Technology
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• 제18권2호
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• pp.61-71
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• 2019

Flow-Accelerated Corrosion (FAC) is a phenomenon in which a protective coating on a metal surface is dissolved by a flow of fluid in a metal pipe, leading to continuous wall-thinning. Recently, many countries have developed computer codes to manage FAC in power plants, and the FAC prediction model in these computer codes plays an important role in predictive performance. Herein, the FAC prediction model was developed by applying a machine learning method and the conventional nonlinear regression method. The random forest, a widely used machine learning technique in predictive modeling led to easy calculation of FAC tendency for five input variables: flow rate, temperature, pH, Cr content, and dissolved oxygen concentration. However, the model showed significant errors in some input conditions, and it was difficult to obtain proper regression results without using additional data points. In contrast, nonlinear regression analysis predicted robust estimation even with relatively insufficient data by assuming an empirical equation and the model showed better predictive power when the interaction between DO and pH was considered. The comparative analysis of this study is believed to provide important insights for developing a more sophisticated FAC prediction model.

• 대한인간공학회지
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• 제21권1호
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• pp.33-49
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• 2002

With the wide range of movement, the movement of neck accompanies the body surface change of neck and shoulders. And neck corresponds to the collar of garment, meaning that the body surface change of this part affects the construction of patterns for collars. So the purpose of this study was to manifest the changes of body surface in the neck and shoulder accompanied with the movement of the neck and to draw up the facts worth consideration when constructing the collar pattern. In this study, the draft of body surface of neck and shoulder was drawn up by gypsum method according to the 5 movements (standing at attention, neck bending - front, back, right, left). The length of body surface was measured and analyzed by ANOVA, post hoc test, correlation and regression analysis using SPSS 10.0 for Windows. The variation of the surface of neck was remarkable in the vertical lines than the horizontal ones. So the height of collar should be established considering the range of movement of the neck. It was the raising amount of c.f(center front) of neck and girth of neckbase (back) that were proved to have significantly varied after movement. With correlation analysis done, in every movement, the raising amount of side and the girth of neckbase had remarkably positive relation. The movement of the neck accompanied the variation of body surface in the shoulder as well. It was the part of scapula and side of neckbase that the variation was notable, suggesting that the surplus is needed in these parts.

• 생물환경조절학회지
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• 제22권2호
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• pp.108-115
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• 2013

본 연구의 목적은 일중피복온실의 피복재에 대하여 우리나라 환경에 적합한 관류열전달계수를 산정하는 방법을 찾아내고 검증하여 다양한 온실조건 및 환경조건에서 관류열전달계수를 산정할 수 있는 모델을 제시하는 것이다. 온실내부 및 외부온도와 피복재 표면온도와의 상관관계를 분석한 결과 주간 및 야간 온도를 모두 고려하였을 때보다 야간온도만을 고려하였을 경우가 상관성이 훨씬 더 높은 것으로 나타났다. 피복재의 표면온도가 온실의 외부온도보다는 내부온도와 상관성이 더 높은 것으로 나타났다. 관류열전달계수를 산정하는데 사용된 5가지 종류의 대류 및 복사열전달계수 산정식을 비교한 결과 Kittas가 제안한 대류 및 복사열전달계수 산정식이 가장 적합한 것으로 나타났다. 피복재 표면온도의 측정값과 계산 값의 상관성을 분석한 결과 직선의 기울기는 1.009이고 절편은 0.001이며 결정계수가 0.98로 나타나 본 연구에서 제시된 관류열전달계수 산정모델이 신뢰성이 있음을 확인할 수 있었다. 온실내부로부터 피복재 내부표면으로 전달되는 열흐름량의 경우 모든 풍속구간에 대해 대류열전달량이 복사열전달량보다 더 컸으며 풍속이 증가할수록 그 차이가 증가하였다. 외부표면에서 손실되는 열흐름량의 경우 풍속이 낮을 때에는 대류열전달량에 비해 복사열전달량이 더 컸으나 풍속이 증가함에 따라 그 차이는 점점 줄어들어 풍속이 높을 때에는 대류열전달량이 더 커지는 것으로 나타났다. 피복재 외부 표면의 대류열전달량은 내부표면의 대류열전달량에 직선적으로 비례하여 증가하는 것으로 나타났다. 풍속이 증가함에 따라 관류열전달계수는 증가하고 피복재의 표면 온도는 감소하는 것을 확인할 수 있었고, 변화추세를 보면 관류열전달계수는 거듭제곱함수와 그리고 표면온도는 로그함수와 잘 일치하였다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.663-665
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• 2003

A field spectroradiometer SE-590 was used to measure the spectral reflectance of water body. The reflectance was calculated as the ratio of surface water radiance to the standard whiteboard radiance nearly measured at the same time. Water samples were taken simultaneously for determining their chlorophyll-a, suspended solid (SS) and transparency. The relationships between those water quality parameters and spectral reflectance were analy zed using stepwise multiple regression to derive optimal prediction models . The multiple regression was also applied to the SE-590 simulated SPOT bands. The SPOT image of the same day was also analyzed using the same method to compare the statistical results. It showed that the multiple regression models using the SE-590 reflectance data got the best water quality prediction results. The evaluated RMS error of chlorophyll-a, SS and transparency of water quality parameters were 0.57 ug/l, 0.2 mg/l and 0.17 m, respectively, and the RMS errors were 0.36 ug/l, 0.49 mg/l and 0.42 m for SPOT data, respectively. The SE-590 simulated SPOT three bands data obtained the worst results and the RMS errors were 1.77 ug/l, 0.49 mg/l and 0.37 m, respectively.

• 한국지구과학회지
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• 제31권5호
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• pp.454-464
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• 2010

A probability prediction model for tropical cyclone (TC) genesis in the Northwestern Pacific area was developed using the logistic regression method. Total five predictors were used in this model: the lower-level relative vorticity, vertical wind shear, mid-level relative humidity, upper-level equivalent potential temperature, and sea surface temperature (SST). The values for four predictors except for SST were obtained from difference of spatial-averaged value between May and January, and the time average of Ni$\tilde{n}$o-3.4 index from February to April was used to see the SST effect. As a result of prediction for the TC genesis frequency from June to December during 1951 to 2007, the model was capable of predicting that 21 (22) years had higher (lower) frequency than the normal year. The analysis of real data indicated that the number of year with the higher (lower) frequency of TC genesis was 28 (29). The overall predictability was about 75%, and the model reliability was also verified statistically through the cross validation analysis method.

• 한국생산제조학회지
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• 제19권2호
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• pp.184-190
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• 2010

Recently, the polishing process using magnetorheological fluids(MR fluids) has been focused as a new ultra-precision polishing technology for micro and optical parts such as aspheric lenses, etc. This method uses MR fluid as a polishing media which contains required micro abrasives. In the MR polishing process, the surface roughness and material removal rate of a workpiece are affected by the process parameters, such as the properties of used nonmagnetic abrasives(particle material, size, aspect ratio and density, etc.), rotating wheel speed, imposed magnetic flux density and feed rate, etc. The objective of this research is to predict MRR according to the polishing conditions based on the multiple regression analysis. Three polishing parameters such as wheel speed, feed rates and current value were optimized. For experimental works, an orthogonal array L27(313) was used based on DOE(Design of Experiments), and ANOVA(Analysis of Variance) was carried out. Finally, it was possible to recognize that the sequence of the factors affecting MRR correspond to feed rate, current and wheel speed, and to determine a combination of optimal polishing conditions.

• 대한원격탐사학회지
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• 제34권1호
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• pp.89-99
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• 2018

Spatial downscaling is often applied to coarse scale satellite products with high temporal resolution for environmental monitoring at a finer scale. An area-to-point regression kriging (ATPRK) algorithm is regarded as effective in that it combines regression modeling and residual correction with area-to-point kriging. However, an open source tool or package for ATPRK has not yet been developed. This paper describes the development and code organization of an R-based spatial downscaling tool, named R4ATPRK, for the implementation of ATPRK. R4ATPRK was developed using the R language and several R packages. A look-up table search and batch processing for computation of ATP kriging weights are employed to improve computational efficiency. An experiment on spatial downscaling of coarse scale land surface temperature products demonstrated that this tool could generate downscaling results in which overall variations in input coarse scale data were preserved and local details were also well captured. If computational efficiency can be further improved, and the tool is extended to include certain advanced procedures, R4ATPRK would be an effective tool for spatial downscaling of coarse scale satellite products.

• Corrosion Science and Technology
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• 제22권1호
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• pp.55-63
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• 2023

The aim of this study was to propose a multiple linear regression (MLR) equation to predict ultimate tensile strength (UTS) of 316L stainless steel with unspecified pit corrosion. Tensile specimens with pit corrosion were prepared using a potentiostatic acceleration test method. Pit corrosion was characterized by measuring ten factors using a confocal laser microscope. Data were collected from 22 tensile tests. At 85% confidence level, total pit volume, maximum pit depth, mean ratio of surface area, and mean area were significant factors showing linear relationships with UTS. The MLR equation using these three significant factors at a 85% confidence level showed considerable prediction performance for UTS. Determination coefficient (R²) was 0.903 with training and test data sets. The yield strength ratio of 316L stainless steel was found to be around 0.85. All specimens with a pit corrosion presented a yield ratio of approximately 0.85 with R² of 0.998. Therefore, pit corrosion did not affect the yield ratio.