• 제목/요약/키워드: Yield Model

검색결과 2,373건 처리시간 0.027초

Effect of Pre-shearing and Temperature on the Yield Stress of Stirred Yogurt

  • Yoon, Won Byong
    • 산업식품공학
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    • 제13권1호
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    • pp.70-73
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    • 2009
  • The yield stress of stirred yogurt was measured by the vane viscometer at different pre-shearing conditions, such as pre-shear speed, pre-shear time, and wait time, and temperature (12-38${^{\circ}C}$). The yield stress ranged from ~17.6 to 10 Pa and from 34.2 to 11.9 Pa, depending on the pre-shearing conditions and temperature, respectively. The preshear speed and the wait time significantly affected the yield stress. The temperature dependence of the yield stress was described by the Eyring's kinetic model. The linear function of the temperature on the yield stress was limited at the 22${^{\circ}C}$, and at the above 22${^{\circ}C}$, the yield stress was maintained to be a constant (~12.5 Pa).

작물 생육 모델을 이용한 지역단위 콩 수량 예측 (Predicting Regional Soybean Yield using Crop Growth Simulation Model)

  • 반호영;최덕환;안중배;이변우
    • 대한원격탐사학회지
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    • 제33권5_2호
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    • pp.699-708
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    • 2017
  • 본 연구에서는 재배 방법, 토양 특성 등의 정보를 상세하게 수집하기 어려운 지역단위의 콩 작황을 작물생육 모델을 이용하여 예측하는 방법을 개발하고자 하였다. 작물 생육 모델은 DSSAT에 포함된 CROPGRO-Soybean 모델을 이용하였고, 미국의 주요 콩 생산지역인 Illinois주를 연구 사례지역으로 선택하였다. CROPGRO-Soybean 모델을 이용하여 Illinois주의 콩 수량을 예측하기 위한 첫 단계로 다양한 성숙군에 속하는 국내외 품종들을 수집하여 서울대학교농장($37.27^{\circ}N$, $126.99^{\circ}E$)에서 2년동안 파종기 실험을 하여 성숙군(maturity group) I~VI까지의 성숙군별 대표 품종모수(genetic coefficients)를 추정하였다. 대표 품종모수는 각 성숙군 내에 포함되어 있는 품종들의 발육을 매우 정확하게 추정하였다. $10km{\times}10km$ 격자 단위의 기상자료를 바탕으로 성숙군(3), 파종시기(3), 관개여부(2) 등을 조합하여 18가지 조건으로 2000년에서 2011년까지 수량을 각각 모의 하였다. 성숙군과 파종시기는 Illinois주를 위도에 따라 3등분하여 각각 다르게 설정하였다. 관개 및 무관개 조건으로 구분하여 격자 별 모의결과로부터 Illinois주 전체 평균 모의수량을 구하여 연도 별 통계 수량과 비교한 결과 두 경우 모두 실제 수량과 큰 차이를 보일 뿐만 아니라 연차에 따른 수량 변동과 증가 경향을 반영하지 못하였다. 이러한 한계를 극복하고자 처리 별 격자 별로 모의된 수량을 수량을 18개 모의 조건 별로 평균하여 구한 9개 농업지구의 연도별 수량을 독립 변수, 농업지구의 연도별 통계수량을 종속 변수로 하는 중회귀 모델을 구축하였다. 18개 모의 조건 별 수량 외에 품종 개량, 재배 기술 발전 등에 따른 수량의 연차적 변화경향을 반영하기 위하여 연도를 독립변수로 추가하였으며, 중회귀모델은 농업지구와 연도별 수량 변이를 비교적 잘 예측($R^2=0.61$, n=108)하였다. 중회귀 모델로 추정한 9개 농업지구의 연도별 수량을 농업지구별 재배 면적으로 가중 평균한 Illinois의 연도별 추정수량은 통계수량에 매우 근사하였다($R^2=0.80$). 뿐만 아니라 모델 구축 대상연도가 아니고 가뭄으로 수량이 크게 감소한 2012년의 예측 수량은 $3006kg\;ha^{-1}$로 통계수량 $2890kg\;ha^{-1}$$116kg\;ha^{-1}$의 근사한 차이를 보였다.

효과적인 자원평가모델 선정을 위한 잉여생산량모델의 비교 분석: 동해 생태계의 잠재생산량 분석을 대상으로 (Comparing Surplus Production Models for Selecting Effective Stock Assessment Model: Analyzing Potential Yield of East Sea, Republic of Korea)

  • 최민제;김도훈
    • Ocean and Polar Research
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    • 제41권3호
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    • pp.183-191
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    • 2019
  • This study sought to find which model is most appropriate for estimating potential yield in the East Sea, Republic of Korea. For comparison purposes, the Process-error model, ASPIC model, Maximum entropy model, Observation-error model, and Bayesian state-space model were applied using data from catch amounts and total efforts of the whole catchable fishes in the East Sea. Results showed that the Bayesian state-space model was estimated to be the most reliable among the models. Potential yield of catchable species was estimated to be 227,858 tons per year. In addition, it was analyzed that the amount of fishery resources in 2016 was about 63% of the biomass that enables a fish stock to deliver the maximum sustainable yield.

리올러지 모델을 이용한 열적 기계적 변형 거동 모사 (A Description of Thermomechanical Behavior Using a Rheological Model)

  • 이금오;홍성구;이순복
    • 대한기계학회논문집A
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    • 제30권7호
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    • pp.757-764
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    • 2006
  • Isothermal cyclic stress-strain deformation and thermomechanical deformation (TMD) of 429EM stainless steel were analyzed using a rheological model employing a bi-linear model. The proposed model was composed of three parameters: elastic modulus, yield stress and tangent modulus. Monotonic stress-strain curves at various temperatures were used to construct the model. The yield stress in the model was nearly same as 0.2% offset yield stress. Hardening relation factor, m, was proposed to relate cyclic hardening to kinematic hardening. Isothermal cyclic stress-strain deformation could be described well by the proposed model. The model was extended to describe TMD. The results revealed that the hi-linear thermomechanical model overestimates the experimental data under both in-phase and out-of-phase conditions in the temperature range of $350-500^{\circ}C$ and it was due to the enhanced dynamic recovery effect.

Application of random regression models for genetic analysis of 305-d milk yield over different lactations of Iranian Holsteins

  • Torshizi, Mahdi Elahi;Farhangfar, Homayoun;Mashhadi, Mojtaba Hosseinpour
    • Asian-Australasian Journal of Animal Sciences
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    • 제30권10호
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    • pp.1382-1387
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    • 2017
  • Objective: During the last decade, genetic evaluation of dairy cows using longitudinal data (test day milk yield or 305-day milk yield) using random regression method has been officially adopted in several countries. The objectives of this study were to estimate covariance functions for genetic and permanent environmental effects and to obtain genetic parameters of 305-day milk yield over seven parities. Methods: Data including 60,279 total 305-day milk yield of 17,309 Iranian Holstein dairy cows in 7 parities calved between 20 to 140 months between 2004 and 2011. Residual variances were modeled by homogeneous and step functions with 7 and 10 classes. Results: The results showed that a third order polynomial for additive genetic and permanent environmental effects plus a step function with 10 classes for the residual variance was the most adequate and parsimonious model to describe the covariance structure of the data. Heritability estimates obtained by this model varied from 0.17 to 0.28. The performance of this model was better than repeatability model. Moreover, 10 classes of residual variance produce the more accurate result than 7 classes or homogeneous residual effect. Conclusion: A quadratic Legendre polynomial for additive genetic and permanent environmental effects with 10 step function residual classes are sufficient to produce a parsimonious model that explained the change in 305-day milk yield over consecutive parities of Iranian Holstein cows.

2차원 CFD를 활용한 시멘트 페이스트의 슬럼프 유동 모사 (Numerical Analysis on Flow of Cement Paste using 2D-CFD)

  • 윤태영
    • 한국도로학회논문집
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    • 제19권4호
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    • pp.19-25
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    • 2017
  • PURPOSES : In this paper, the flow of construction material was simulated using computational fluid dynamics in a 2D axisymmetric condition to evaluate the effect of initial or varying material properties on the final shape of a specimen. METHODS : The CFD model was verified by using a well-known analytical solution for a given test condition followed by performing a sensitivity analysis to evaluate the effect of material properties on the final shape of material. Varying dynamic viscosity and yield stress were also considered. RESULTS : The CFD model in a 2D axisymmetric condition agreed with the analytical solution for most yield stress conditions. Minor disagreements observed at high yield stress conditions indicate improper application of the pure shear assumption for the given material behavior. It was also observed that the variation of yield stress and dynamic viscosity during curing had a meaningful effect on the final shape of the specimen. CONCLUSIONS : It is concluded that CFD modeling in a 2D axisymmetric condition is good enough to evaluate fluidal characteristics of material. The model is able to consider varying yield stress and viscosity during curing. The 3D CFD-DEM coupled model may be required to consider the interaction of aggregates in fluid.

The Assembly and Application of High Yield Cultivation Technics for Mechanized Dry Farming in Heilongjiang Province of China

  • Shen, Taixiong;Zhang, Yuanlu;Liang, Henglu
    • 한국농업기계학회:학술대회논문집
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    • 한국농업기계학회 1996년도 International Conference on Agricultural Machinery Engineering Proceedings
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    • pp.228-237
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    • 1996
  • On the basis of a brief introduction of the mechanized dry farming in Heilongjiang Province, the author states the developing process from the combination of single technics of farm machinery and agronomy to the technical assembly of high yield cultivation technics and its mathematical expression. According to the main temperature accumulated zones, 5 typical comprehensive technical assembly models for the mechanized cultivation technics and their agricultural machinery systems have been listed. They are, the Heihe " 261" wheat and soybean model : the Yi'an big ridge double row film mulching corn model : the Yongchang high yield mechanized soybean and other grain crops six year rotation model for Keshan state farms. The author conclude that the application of mechanized high yield cultivation technical assembly is the key point to transform the Heilongjiang province from big agriculture to strong agriculture, we have to take " high yield , high quality , high efficiency , s stain -ability and earning foreign currency" as the general target and carry out the corresponding policy and measures for the further development of agricuture.

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결함 제한적 수율변화 모델 (Defect-Limited Yield Difference Model)

  • 이흥주
    • 한국산학기술학회논문지
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    • 제9권6호
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    • pp.1614-1618
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    • 2008
  • 본 논문은 레이아웃 수정에 따른 수율차 계산을 위한 새로운 모델을 제안한다. 패턴 사이의 빈 공간의 크기를 늘리거나 줄이는 레이아웃 변경으로 인한 결함 평균치의 차를 구하기 위한 식이 단락 결함과 개방 결함에 대해 제시 되었다. 미세 패턴인 조그를 포함한 구부러진 연결선등을 가지는 복잡한 레이아웃 변경은 패턴을 작은 조각으로 쪼개고 패턴 사이의 공간과 패턴의 폭을 재정의 함으로써 새롭게 모델링 하였다. 이 모델은 레이아웃 변경에 의한 수율 변화와 결함 제한적 수율에 대한 비용함수 모니터링을 쉽게 할 수 있다는 장점을 갖는다.

Forecasting Government Bond Yields in Thailand: A Bayesian VAR Approach

  • BUABAN, Wantana;SETHAPRAMOTE, Yuthana
    • The Journal of Asian Finance, Economics and Business
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    • 제9권3호
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    • pp.181-193
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    • 2022
  • This paper seeks to investigate major macroeconomic factors and bond yield interactions in Thai bond markets, with the goal of forecasting future bond yields. This study examines the best predictive yields for future bond yields at different maturities of 1-, 3-, 5-, 7-, and 10-years using time series data of economic indicators covering the period from 1998 to 2020. The empirical findings support the hypothesis that macroeconomic factors influence bond yield fluctuations. In terms of forecasting future bond yields, static predictions reveal that in most cases, the BVAR model offers the best predictivity of bond rates at various maturities. Furthermore, the BVAR model has the best performance in dynamic rolling-window, forecasting bond yields with various maturities for 2-, 4-, and 8-quarters. The findings of this study imply that the BVAR model forecasts future yields more accurately and consistently than other competitive models. Our research could help policymakers and investors predict bond yield changes, which could be important in macroeconomic policy development.

FAO-AquaCrop을 이용한 기후변화가 벼 증발산량 및 수확량에 미치는 영향 모의 (Simulating Evapotranspiration and Yield Responses of Rice to Climate Change using FAO-AquaCrop)

  • 정상옥
    • 한국농공학회논문집
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    • 제52권3호
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    • pp.57-64
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    • 2010
  • The impacts of climate change on yield and evapotranspiration of rice have been modeled using AquaCrop model developed by Food and Agriculture Organization (FAO). Climate change scenario downscaled by Mesoscale Model 5 (MM5) regional model from ECHO-G General Circulation Model (GCM) outputs by Korea Meteorological Research Institute (METRI) was used in this study. Monthly average climate data for baseline (1971-2000) and three time periods (2020s, 2050s and 2080s) were used as inputs to the AquaCrop model. The results showed that the evapotranspiration after transplanting was projected to increase by 4 % (2020s), 8 % (2050s) and 14 % (2080s), respectively, from the baseline value of 464 mm. The potential rice yield was 6.4 t/ha and water productivity was 1.4 kg/$m^3$ for the baseline. The potential rice yield was projected to increase by 23 % (2020s), 55 % (2050s), and 98 % (2080s), respectively, by the increased photosynthesis along with the $CO_2$ concentration increases. The water productivity was projected to increase by 19 % (2020s), 44 % (2050s), and 75 % (2080s), respectively.