• 제목/요약/키워드: linear regression equation

검색결과 485건 처리시간 0.028초

초미세 틈새의 기체 베어링 해석용 유효 점도의 표현식과 관련 계수들의 민감도 해석 (Sensitivity Analysis of Effective Viscosity Coefficients for Computing Characteristics of Ultrathin Gas Film Bearings)

  • 김의한;임윤철
    • Tribology and Lubricants
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    • 제30권1호
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    • pp.15-20
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    • 2014
  • A more accurate expression for effective viscosity is obtained using a linear regression of the data from Fukui-Kaneko's model, which are obtained through numerical calculations based on the linearized Boltzmann equation. Veijola and Turowski's expression is adopted as a base function for effective viscosity. The four coefficients in that equation are optimized, and sensitivity analysis is conducted for these coefficients. The results show that the coefficient for the first-order Knudsen number is the most accurate, whereas the coefficient in the exponential of the Knudsen number is the least accurate compared with Fukui-Kaneko's results. The expression for effective viscosity is accurate within 0.02% rms of Fukui-Kaneko's results for the inverse Knudsen numbers from 0.01 to 100 and surface accommodation coefficients ranging from 0.7 to 1.

중회귀분석을 통한 콘크리트궤도 레일 휨응력 예측식 (The Prediction Equation for Bending Stress of Rail in Concrete Track by the Linear Multiple Regression Analysis)

  • 성덕룡;임형준;이동욱;김박진;박용걸
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2010년도 춘계학술대회 논문집
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    • pp.315-323
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    • 2010
  • 장대레일 교체주기는 자갈궤도 레일두부 표면요철과 레일 휨피로의 상관관계 분석을 통해 산정되었다. 본 연구에서는 국내 도시철도(서울메트로) 콘크리트궤도에서 레일두부 표면요철량에 따른 레일 휨응력을 측정하였다. 또한, 콘크리트궤도 레일두부 표면요철, 속도와 레일 휨응력의 상관관계를 분석하였다. 결론적으로, 중회귀분석을 통해 운행속도(U), 표면요철(v, w)에 따른 레일 휨응력(Y) 예측식을 도출하였다. 본 연구결과는 콘크리트궤도 장대레일 교체주기를 수립하기 위한 기초데이터로 활용이 가능할 것이다.

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Studies on Biomass for Young Abies koreana Wilson

  • Lee, Do-Hyung;Yoon, Jun-Hyuck;Woo, Kwan-Soo
    • 한국산림과학회지
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    • 제96권2호
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    • pp.138-144
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    • 2007
  • This study was undertaken to compare the biomass of Abies koreana growing at two sites. A $10{\times}10m$ plot was established in each site of a natural stand in Mt. Jiri and a plantation in Gyeongsan nursery. Five trees of A. koreana were randomly selected in each site. The following traits were investigated from each tree : height, basal diameter, age, weight of stem, branches, and needles as above-ground traits and weight of total roots, horizontal roots, and vertical roots as below-ground traits. In Gyeongsan nursery, age of sample trees was negatively correlated with both height and weight of total stem, while height was highly correlated with weight of horizontal roots. There was high correlation between the basal diameter and weight of total stem, and between the basal diameter and weight of roots. In Mt. Jiri stand, most of the above-ground traits except age were significantly correlated with the below-ground traits. The linear regression equation between the cross section area of base (X) and the weight of total stem (Y) in Gyeongsan nursery was Y=12.66X-12.92, and correlation was significant ($R^2=0.89$). The linear regression equation between the cross section area of base(X) and the weight of total branches (Y) in Mt. Jiri stand was Y=25.51X+6.00, and correlation was highly significant ($R^2=1.0$).

단립종(短粒種)벼의 박층흡습방정식(薄層吸濕方程式) (Thin-layer Rewetting Equation for Short Grain Rough Rice)

  • 정춘식;금동혁;박승제
    • Journal of Biosystems Engineering
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    • 제12권2호
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    • pp.38-43
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    • 1987
  • An experimental study was conducted to develop a thin-layer rewetting equation of short grain rough rice of Akihikari variety. Four thin-layer rewetting equations were experimentally determined from $25^{\circ}C$ to $45^{\circ}C$ and 70%RH to 85%RH conditions. Diffusion, Henderson, Page, and Thompson equations widely used as thin-layer drying equations were selected. Experimental data were fitted to these equations using linear regression analysis except diffusion equation. The diffusivity in the diffusion equation was determined by optimization method. Four equations were highly significant. In order to compare the goodness of fit of each equation, the error mean square of each equawas calculated. The diffusion model was not a very good model because the error mean square was very large. The other three models showed the same level or error mean square and could predict satisfactorily the rewetting rate or short grain rough rice.

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마른 오징어의 품질평가 및 보존기간 (Quality Evaluation and Shelf-life of Dried Squid)

  • 유병진;이강호
    • 한국수산과학회지
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    • 제21권3호
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    • pp.169-176
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    • 1988
  • In order to obtain the objective indices which can assess the quality and the shelf-life of dried squid, nonenzymatic browning, carbonyl value, trimethyl amine (TMA) and trimethyl amine oxide (TMAO) decrease and panel test were determined in dried squid at various water activity levels. When the data of nonenzymatic browning fit a zero order equation, $r^2$ value were more than 0.92 except aw 0.52 for 0.8241. Through variance analysis for the data of browning extent and TMAO decrease, the confidence limits of regression equation were $99\%$ and their limit values of shelf-life were shown 0.45390 O. D./g. solid and 190.322 g/g respectively. In case of TMAO, $r^2$ value was calculated more than 0.95. Linear regression equation for the correlation between browning data and average panel score was Y=0.6138-0.053X and its $r^2$ value was 0.9285. Also in TMAO decrease, the equation was InY=2.0314+0.08269x and $r^2$ value was 0.7854. The shelf-life, evaluated by nonenzymatic browning, TMAO decrease and panel test, was 110-170 days at aw 0.45-0.76 except aw 0.15.

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근적외선 분광분석기를 이용한 잔디 생체잎의 질소 함량 측정을 위한 검량식 개발 (Prediction from Linear Regression Equation for Nitrogen Content Measurement in Bentgrasses leaves Using Near Infrared Reflectance Spectroscopy)

  • 차정훈;김경덕;박대섭
    • 아시안잔디학회지
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    • 제23권1호
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    • pp.77-90
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    • 2009
  • Near Infrared Reflectance Spectroscopy(NIRS)는 짧은 시간 안에 식물의 다양한 영양소를 동시에 정확하고 빠르게 측정할 수 있다. 본 연구는 creeping bentgrass 'CY2' 엽의 여러 가지 기본 요소의 값을 예측하기 위해서 NIRS(근적의선 분광분석기)를 사용하여 측정하였다. 그 결과, 질소와 수분 그리고 탄수화물의 $r^2$은 각각 0.892, 0.925, 0.971이었다. 검량식에 대한 검증에서 $r^2$이 높은 상관관계를 나타냈으므로, 잔디에서 더 많은 연구를 위한 실용화 가능성을 확인 할 수 있었다.

완전제어형 식물공장에서 퀴노아 (Chenopodium quinoa Willd.)의 생장을 예측하기 위한 모델 개발 (Development of Models for Estimating Growth of Quinoa (Chenopodium quinoa Willd.) in a Closed-Type Plant Factory System)

  • 오스틴 지라파;조영열
    • 생물환경조절학회지
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    • 제27권4호
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    • pp.326-331
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    • 2018
  • 작물 생육 모델은 작물의 생육을 이해하고 통합하기 위해 유용한 도구이다. 완전제어형 식물공장에서 엽채류로 활용하기 위한 퀴노아(Chenopodium quinoa Willd.)의 초장, 광합성률, 생장 모델을 예측하기 위한 모델을 1차식, 2차식 및 비선형 및 선형지수 등식을 사용하여 개발하였다. 식물 생육과 수량은 정식 후 5일간격으로 측정하였다. 광합성과 생장 곡선 모델을 계산하였다. 초장과 정식 후 일수(DAT)간의 선형 및 곡선 관계를 얻었으나, 초장을 정확하게 예측하기 위한 모델은 선형 등식이었다. 광합성률 모델을 비선형 등식을 선택하였다. 광보상점, 광포화점, 및 호흡률은 각각 29, 813 and $3.4{\mu}mol{\cdot}m^{-2}{\cdot}s^{-1}$였다. 지상부 생체중과 건물중은 선형관계를 보였다. 지상부 건물중의 회귀계수는 0.75 ($R^2=0.921^{***}$)였다. 선형지수 수식을 사용하여 시간 함수에 따른 퀴노아의 지상부 건물중 증가를 비선형 회귀식으로 수행하였다. 작물생장률과 상대생장률은 각각 $22.9g{\cdot}m^{-2}{\cdot}d^{-1}$ and $0.28g{\cdot}g^{-1}{\cdot}d^{-1}$였다. 이러한 모델들은 정확하게 퀴노아의 초장, 광합성률, 지상부 생체중과 건물중을 예측할 수 있다.

Semiparametric support vector machine for accelerated failure time model

  • Hwang, Chang-Ha;Shim, Joo-Yong
    • Journal of the Korean Data and Information Science Society
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    • 제21권4호
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    • pp.765-775
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    • 2010
  • For the accelerated failure time (AFT) model a lot of effort has been devoted to develop effective estimation methods. AFT model assumes a linear relationship between the logarithm of event time and covariates. In this paper we propose a semiparametric support vector machine to consider situations where the functional form of the effect of one or more covariates is unknown. The proposed estimating equation can be computed by a quadratic programming and a linear equation. We study the effect of several covariates on a censored response variable with an unknown probability distribution. We also provide a generalized approximate cross-validation method for choosing the hyper-parameters which affect the performance of the proposed approach. The proposed method is evaluated through simulations using the artificial example.

연관성 규칙 수의 추정을 위한 일반적인 비선형 회귀모형에서의 표준화 향상도 활용 방안 (Generally non-linear regression model containing standardized lift for association number estimation)

  • 박희창
    • Journal of the Korean Data and Information Science Society
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    • 제27권3호
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    • pp.629-638
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    • 2016
  • 최근에 많이 활용되고 있는 데이터 분석을 위한 연관성 규칙 마이닝은 대용량 데이터베이스에 많이 활용되고 있는 서 두 항목간의 관계를 측도화 함으로써 두 개 이상의 항목간의 관련성을 표시하여 주는 기법이다. 연관성 규칙의 여부를 판단하기 위한 연관성 평가 기준에는 지지도, 신뢰도, 그리고 향상도 등이 있으며, 이들 세 가지 기준을 이용하여 연관성 규칙 생성 여부를 판단하게 된다. 이에 대한 기존의 연구 결과는 결정함수를 이용하는 방법과 회귀모형을 이용하는 방법으로 분류할 수 있다. 회귀모형을 이용하여 수행한 연구에는 지지도와 신뢰도에 의한 모형, 세 가지 평가 기준의 쌍에 의한 모형, 표준화 향상도를 포함한 세 가지 평가 기준의 쌍에 의한 모형, 그리고 세 가지 평가 기준 전부를 고려한 모형 등이 있다. 본 논문에서는 기존의 연구를 확장하는 의미에서 표준화 향상도를 포함한 세가지 평가 기준 전부를 고려한 비선형 회귀모형을 이용하여 연관성 규칙의 수를 추정하는 방안에 대해 강구하고자 한다. 또한 분산분석에서의 F 통계량과 수정 결정계수를 이용하여 각 모형의 유의한 정도를 비교하는 동시에 분산팽창계수에 의한 공선성 문제를 진단함으로써 가장 유용한 회귀 모형을 탐색하고자 한다.

Interpretation of Relationship Between Sesame Yield and It's components under Early Sowing Cropping Condition

  • Shim Kang-Bo;Kang Churl-Whan;Seong Jae-Duck;Hwang Chung-Dong;Suh Duck-Yong
    • 한국작물학회지
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    • 제51권4호
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    • pp.269-273
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    • 2006
  • Multiple linear regression analysis was conducted to interpretate the relationship between sesame grain yield and its components under early sowing cropping condition. The t test showed that stem length, number of capsules per plant, 1000 seeds weight and seed weight per plant gave significant contribution to sesame grain yield, therefore those variables were assumed to mostly influenced components to grain yield of sesame. In the stepwise regression analysis, the predicted equation for sesame grain yield per square meter (Y) was Y = -7.900 + 0.150X1 + 0.461X5 + 15.553X6 + 8.543X7. Meanwhile, F value showed that stem length, number of capsules per plant and seed weight per plant gave significant contribution to sesame grain yield, while 1000 seeds weight did not significantly show. Based on the results, it is reasonable to assume that high yield. potential of sesame under early sowing cropping condition would be obtained by selecting breeding lines with long stem length, number of capsules per plant, and seed weight per plant, which was different result at the late sowing cropping condition in which days to flowering and maturity were assumed to be more affected factors to the sesame grain yield.