• 한국농림기상학회지
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• 제4권3호
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• pp.164-168
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• 2002

우리나라 벼 수량 기상반응의 최대경계선 분석을 통하여 구축한 벼 수량예측모델(금 등, 2001)의 지역, 연차 및 품종의 수량 변이 예측 정확도를 검증한 결과는 다음과 같다. 1. 모형구축에 이용된 전국 20개 지역의 지역별 15년 간의 평균수량은 실측치와 예측치 간에 r=0.9296$^{**}$ 으로 고도로 유의한 상관을 나타내고 있으며 모형작성에서 제외시켰던 12개 지역 평균수량의 예측치와 실측치간의 상관계수도 r=0.8923$^{**}$ 으로 모형작성에 이용된 지역보다 수량예측의 정확도가 다소 낮게 나타났으나 통계적으로 고도로 유의하였다. 2. 모형설정에 사용된 20개 지역과 사용되지 않는 12개 지역 모두 연차별 실제수량과 예측수량간에는 고도로 유의한 상관이 존재하여 수량의 연차간 변이를 잘 예측하였다. 다만 냉해년에는 다소과대 추정하는 경향이었다. 3. 동진벼, 화성벼, 추청벼 등의 8개 품종별로 실제 수량과 예측수량간에는 고도로 유의한 상관이 있었다. 다만 모형구축에 이용되지 않은 지역의 자료를 이용하는 경우 모형설정에 이용한 자료를 이용한 경우보다 다소 상관이 낮아졌다. 4. 결론적으로 수량기상반응의 최대경계선(boundary line)분석은 수량 예측 모형의 구축에 효율적으로 적용될 수 있을 것으로 판단되었으며, 본 연구에서 고려하지 않은 토양조건, 시비조건 등에 대한 최대경계선 분석을 포함시키는 경우 보다 정확도가 높은 수량예측모형을 작성할 수 있으며 이를 통한 지성, 년도, 품종에 따른 수량의 변이를 실용적으로 예측할 수 있을 것으로 기대된다.

• 한국정밀공학회지
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• 제18권2호
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• pp.186-191
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• 2001

A crack with electrically impermeable surfaces in an electrostrictive material subjected to uniform electric loading is analysed. The effect of electric yielding on stress intensity factor is investigated by using a small scale yielding model and a strip yield zone model. Complete forms of electric fields and elastic fields are derived by using complex function theory. The electrical yield zone shapes for two models are different each other. The two models, however, predict similar yield zone sizes under the small scale yielding conditions. It is found that the influence of electric yielding on the stress intensity factor is insensitive to the modeling of the electrical yield zone shape.

• Structural Engineering and Mechanics
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• 제58권4호
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• pp.661-676
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• 2016

This paper presents an elastic/plastic model that neglects strain hardening during loading, but accounts for the Bauschinger effect. These mathematical features of the model represent reasonably well the actual behavior of several materials such as high strength steels. Previous attempts to describe the behavior of this kind of materials have been restricted to a class of boundary value problems in which the state of stress in the plastic region is completely controlled by the yield stress in tension or torsion. In particular, the yield stress is supposed to be constant during loading and the forward plastic strain reduces the yield stress to be used to describe reversed yielding. The new model generalizes this approach on plane stress problems assuming that the material obeys the von Mises yield criterion during loading. Then, the model is adopted to describe reversed yielding in thin hollow discs subject to external pressure.

• Animal Bioscience
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• 제35권10호
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• pp.1499-1511
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• 2022

Objective: This study was aimed to estimate the genetic parameters, including genetic and phenotypic correlations, of milk yield, lactation curve traits and milk composition of Thai dairy cattle from three government research farms. Methods: The data of 25,789 test-day milk yield and milk composition records of 1,468 cattle from lactation 1 to 3 of Holstein Friesian (HF) and crossbred HF dairy cattle calved between 1990 and 2015 from three government research farms in Thailand were analysed. 305-day milk yield was estimated by the Wood model and a test interval method. The Wood model was used for estimating cumulative 305-day milk yield, peak milk yield, days to peak milk yield and persistency. Genetic parameters were estimated using linear mixed models with herd, breed group, year and season of calving as fixed effects, and animals linked to a pedigree as random effects, together with a residual error. Univariate models were used to estimate variance components, heritability, estimated breeding values (EBVs) and repeatability of each trait, while pairwise bivariate models were used to estimate covariance components and correlations between traits in the same lactation and in the same trait across lactations. Results: The heritability of 305-day milk yield, peak milk yield and protein percentage have moderate to high estimates ranging from 0.19 to 0.45 while days to peak milk yield, persistency and fat percentage have low heritability ranging from 0.08 to 0.14 in lactation 1 cows. Further, heritability of most traits considered was higher in lactation 1 compared with lactations 2 and 3. For cows in lactation 1, high genetic correlations were found between 305-day milk yield and peak milk yield (0.86±0.07) and days to peak milk yield and persistency (0.99±0.02) while estimates of genetic correlations between the remaining traits were imprecise due to the high standard errors. The genetic correlations within the traits across lactation were high. There was no consistent trend of EBVs for most traits in the first lactation over the study period. Conclusion: Both the Wood model and test interval method can be used for milk yield estimates in these herds. However, the Wood model has advantages over the test interval method as it can be fitted using fewer test-day records and the estimated model parameters can be used to derive estimates of other lactation curve parameters. Milk yield, peak milk yield and protein percentage can be improved by a selection and mating program while days to peak milk yield, persistency and fat percentage can be improved by including into a selection index.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제16권3호
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• pp.157-162
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• 2016

In this paper, a yield prediction model based on relevance vector machine (RVM) and a granular computing model (quotient space theory) is presented. With a granular computing model, massive and complex meteorological data can be analyzed at different layers of different grain sizes, and new meteorological feature data sets can be formed in this way. In order to forecast the crop yield, a grey model is introduced to label the training sample data sets, which also can be used for computing the tendency yield. An RVM algorithm is introduced as the classification model for meteorological data mining. Experiments on data sets from the real world using this model show an advantage in terms of yield prediction compared with other models.

• 한국강구조학회 논문집
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• 제10권3호통권36호
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• pp.525-536
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• 1998

본 연구는 콘크리트 충전형 원형강관에 H형강보를 사용한 접합부의 내력을 항복선이론을 이용하여 구하였다. 3가지 유형의 항복선 모델이 제시되어 있다. 첫째는 단순화된 모델이며, 두 번째는 x와 kx로 수정된 모델이다. 나머지 하나는 모리타모델이다. 각 경우의 이론치와 실험치가 비교되었으며, 궁극적으로는 콘크리트 충전 원형강관기둥 접합부의 보강법을 연구하여 다이아프램이 없는 콘크리트 충전강관 기둥-H형강보 접합부의 개발을 위한 기초자료를 제시하는 것을 목적으로 하고 있다.

• 자원환경지질
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• 제40권1호
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• pp.103-113
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• 2007

GIS와 연계시켜 만든 분산형 모델의 대표적인 경험식인 USLE model과 물리학기반의 GeoWEPP model을 경기도 이천시에 위치한 소유역에 적용하여 2004년 1월에서 2005년 1월까지 1년간의 토사유출량을 비교하였다. 연구기간동안의 유출된 토사량은 실제관측결과 270.54 ton, USLE 모델 적용 시 358.1 ton, 그리고 GeoWEPP 모델 적용 시 283.30 ton으로 각각 산출되었다. 각각의 모델을 적용한 산출량은 실제 산출량보다 과대하게 산출되었으며, 산출결과만을 볼 때, GeoWEPP 모델을 적용한 토사유출량이 USLE 적용 산출량 보다 관측량에 더 근사한 산출량을 보였다. 모델 적용 산출량이 과대산출 된 원인으로는 실험웨어를 월류하여 빠져나간 부유물에 대한 양이 포함되지 않았기 때문으로 판단된다.

• 대한산업공학회지
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• 제33권3호
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• pp.364-372
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• 2007

The cost modeling of the LCD manufacturing system with the repair and the rework process is hard to achieve because of it's complex manufacturing process. The technical cost modeling divides each process separately and hierarchically, so it is very useful to calculate the total manufacturing cost of the complex manufacturing system. We applied the method to the complex LCD manufacturing system to obtain more accurate cost model. Yields are the most important control parameters in manufacturing. In this paper, we propose a yield based cost model for the LCD manufacturing system and reveal the relationship between manufacturing yield and cost. Through the model, we can estimate the manufacturing cost on the basis of yields that are control indicators of manufacturing. Some simulations are performed to observe the effects of the yield to the cost, and the results are coincide with the real situation. With the proposed model, we expect to develop some optimization problems for enlarging productivity in the LCD industry.

• The Journal of Asian Finance, Economics and Business
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• 제7권11호
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• pp.23-31
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• 2020

This paper investigates the impact of monetary policy independence shock on bond yield by allowing for heterogeneous coefficients in the model based on panel data for 19 developing countries using quarterly data from 1991 to 2016. First, we estimate the model using conventional panel VAR estimation with the assumption of homogeneous coefficients across countries. Second, by performing Chow and Roy-Zellner tests to check the homogeneity assumption, we find that the assumption does not hold in the model. Third, we apply a mean-group estimation for panel VAR as a solution for heterogeneity panel model. The results reveal that central bank independence is effective in reducing bond yield with the maximum at period 6 after the shock. Shock one standard deviation bond yield has a negative effect on consumption and investment. We determine that central bank independence has a contradictory effect on real activity; a negative effect on consumption but a positive influence on investment for the first two years after the shock. Additionally, we split our sample into three groups to make the subgroups pool. Our empirical result shows that monetary policy independence shock reduces bond yield. Meanwhile, the response of economic activity to bond yield varies for all three groups.

• Asian-Australasian Journal of Animal Sciences
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• 제20권1호
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• pp.12-18
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• 2007

The objective of the study was to compare ranking of Sahiwal bulls selected on the basis of highest lactation milk yield of their dams with their estimated breeding values (EBVs) using an animal model. Data on 23,761 lactation milk yield records of 5,936 cows from five main Livestock Experiment Stations in Punjab province of Pakistan (1964-2004) were used for the study. At present the young A.I bulls are required to be from A-category bull-dams. Dams were categorized as A, B, C and D if they had highest lactation milk yield of ${\geq}$2,700, 2,250-2,699, 1,800-2,249 and <1,800 litres, respectively. The EBVs for lactation milk yield were estimated for all the animals using an individual animal model having fixed effect of herd-year and season of calving and random effect of animal. Fixed effect of parity and random effect of permanent environment were incorporated when multiple lactation were used. There were 396 young bulls used for semen collection and A.I during 1973-2004. However, progeny with lactation yields recorded, were available only for 91 bulls and dams could be traced for only 63 bulls. Overall lactation milk yield averaged 1,440.8 kg. Milk yield was 10% heritable with repeatability of 39%. Ranking bulls on highest lactation milk yield of their dams, the in-vogue criteria of selecting bulls, had a rank correlation of 0.167 (p<0.190) with ranking based on EBVs from animal model analysis. Bulls' EBVs for all lactations had rank correlation of 0.716 (p<0.001) with EBVs based on first lactation milk yield and 0.766 (p<0.001) with average EBVs of dam and sire (pedigree index). Ranking of bulls on highest lactation yield of their dams has no association with their ranking based on animal model evaluation. Young Sahiwal bulls should be selected on the basis of pedigree index instead of highest lactation yield of dams. This can help improve the genetic potential of the breed accruing to conservation and development efforts.