• Journal of Animal Science and Technology
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• 제55권6호
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• pp.489-500
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• 2013

Daily milk yields on test days were estimated using morning or afternoon partial milk yields collected by official agencies and the accuracy of the estimates was determined. Test-day data for milk yields consisted of 3,156,734 records of AM/PM partial milking measurements of 255,437 milking Holstein cows from 3,708 farms collected from December 2008 to April 2013. A linear regression model (LRM) was applied to estimate daily milk yields using alternate AM/PM milk yield records within lactation stages, milking intervals, and parities on every daily milk yield. The alternate statistical approach was a non-linear hierarchical model (NHM) in which Brody's growth function was implemented by reflecting an animal's physiological milk production cycle. When compared with LRM, daily milk yields predicted by the NHM were assumed to be functionally related to day in milk (or lactation) stage, milking intervals, and partial milk yields. Since the results were in terms of accuracies based on comparisons of different statistical models, accuracies of estimates of daily milk yields by NHM were close to those determined by the LRM. The average of these accuracies was 0.94 for AM partial milk yields and 0.93 for PM partial milk yields for first calving cows. However, the accuracies of AM/PM milk yield estimations from cows under a calving stage higher than the first parity were 0.96 and 0.95, respectively. Correlations between the estimated daily milk yields and the actual daily milk yields ranged from 0.96~0.98. These accuracies were lower for unbalanced AM/PM milking intervals and the first calving cows. Overall, prediction of daily milk yields by NHM would be more appropriate than by LRM due to its flexibility under different milk yield-related circumstances, which provides an idea of the functional relationship between milking intervals and days in milk with daily milk yields from statistical viewpoints.

• Animal Bioscience
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• 제34권6호
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• pp.949-956
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• 2021

Objective: This study was focused on the estimation of parameters of Wood's model and description of the lactation curve using the cows which were lactated over 24 months on the first lactation. Methods: The database included 1,333 pure-bred dairy Simmental primiparous cows which lactated for 24 months (732 days). The initial dataset entering the procedure of assessment of parameters of Wood's function included 35,826 milk yield records. Milk yield was recorded throughout lactation, with the earliest record taken on day 6 and the latest on day 1,348 of lactation. This dataset was used for the assessment of parameters a, b, c of Wood's model using the non-linear statistical procedure. These parameters were estimated for different length of lactation. The assessed parameters were used for calculation of some characteristics of lactation curves. Results: The lowest value of a parameter (15.2317) of Wood's model of lactation curve was found out in lactations up to 305 days long, contrary to b and c parameters which were highest in those lactations (0.1029 and 0.0015, respectively). The maximum value of a parameter (17.4329) was found out in lactations up to 640 days long, unlike b and c parameters which were minimal in those lactations (0.0603 and 0.0010, respectively). Conclusion: It can be concluded that the parameters of Wood's model and the shape of lactation curve are changing with the growing number of milk yield records. Also, the assessed parameters revealed a significant milk production potential after 305 days of lactation.

• Asian-Australasian Journal of Animal Sciences
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• 제33권7호
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• pp.1202-1208
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• 2020

Objective: The aim of this study was to identify a distribution pattern of meat quality grade (MQG) as a function of carcass yield index (CYI) and the gender of Hanwoo (bull, cow, and steer) to determine the optimum point between both yield and quality. We also attempted to identify how pre- and post-deboning variables affect the gender-specific beef quality of Hanwoo. Methods: A total of 31 deboning variables, consisting of 7 pre-deboning and 24 post-deboning variables from bulls (n = 139), cows (n = 69), and steers (n = 153), were obtained from the National Institute of Animal Science (NIAS) in South Korea. The database was reconstructed to be suitable for a statistical significance test between the CYI and the MQG as well as classification of meat quality. Discriminant function analysis was used for classifying MQG using the deboning parameters of Hanwoo by gender. Results: The means of CYI according to 1+, 1, 2, and 3 of MQG were 68.64±2.02, 68.85±1.94, 68.62±5.88, and 70.99±3.32, respectively. High carcass yield correlated with low-quality grade, while high-quality meat most frequently was obtained from steers. The classification ability of pre-deboning parameters was higher than that of post-deboning parameters. Moisture and the shear force were the common significant parameters in all discriminant functions having a classification accuracy of 80.6%, 71%, and 56.9% for the bull, cow, and steer, respectively. Conclusion: This study provides basic information for predicting the meat quality by gender using pre-deboning variables consistent with the actual grading index.

• 전자공학회논문지D
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• 제35D권12호
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• pp.59-67
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• 1998

본 논문에서는 몬테카를로 방식을 사용하여 이온의 에너지에 대한 타겟 원자의 스퍼터율(Sputter Yield), 이온의 주입 각도에 대한 스퍼터율, 이온의 주입에 따른 타겟 원자의 발산 분포를 3차원으로 시뮬레이션 하였다. 중(중)이온으로 (Ar/sup +/)을 사용하였고, 경(輕)이온으로 (H/sup +/)을 사용하여 10 eV에서 100 KeV 영역의 에너지에 따른 스퍼터율을 계산하였다. 또한, 스퍼터 타겟 물질로서 Cu, Al을 사용하여 계산하였고, 실험치와 일치함을 확인하였다. 스퍼터율은 입사 이온의 에너지가 증가함에 따라 증가하는 경향을 보이지만, 임계점 이후에는 점차적으로 감소하는 경향을 보였다. 중이온에 의한 스퍼터에서는 임계점이 10 KeV 영역이었고, 경이온에 의한 스퍼터에서는 1 KeV 이하 영역이었다. 또한, 이온의 주입 각도에 따라서 타겟의 스퍼터율은 점차적으로 증가하였고, 68° 부근에서 최대 스퍼터율을 기록하였다. 이온의 주입 각도에 따른 타겟 원자의 분포도에서는 각도가 커짐에 따라서 타겟 표면 법선 방향으로 방출되는 원자의 수가 많아짐을 확인하였다. 본 연구에서는, CRAY T3E 슈퍼컴퓨터에서 시뮬레이션을 수행하였으며, 구현된 몬테카를로 스퍼터 시뮬레이터의 GUI(Graphic User Interface) 환경을 구축하였다.

• 한국농림기상학회지
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• 제17권4호
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• pp.306-316
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• 2015

생태형이 다른 8개 벼 품종을 대상으로 포트 실험을 실시하여 대기온, 대기온 대비 $+1.5^{\circ}C$, $+3.0^{\circ}C$, $+5.0^{\circ}C$ 온도 조건에서의 수량 및 수량 관련 요소의 반응을 분석하였다. 이삭수를 제외한 수량 및 수량 관련 요소들의 온도 상승 조건에 대한 반응은 생태형 및 품종에 따라 유의한 차이가 있음을 확인하였다. 온도가 높아짐에 따라 영화수는 증감의 경향이 명확하진 않았으나 대체로 대기온보다는 증가하였고, 천립중과 등숙률은 감소하는 경향을 나타냈다. 수량 관련 요소 중 온도 상승에 가장 민감한 반응을 보인 요소는 등숙률이었으며, 가장 둔감한 요소는 천립중이었다. 등숙률의 하락과 맞물려 수량은 고온 조건일수록 낮아졌으나, 영화수 증가 영향으로 수량의 저하 정도는 등숙률의 그것보다 크지 않았다. 생태형 및 품종별 반응은 조생종의 오대벼와 운광벼가 온도 조건에 가장 민감하였으며, 중만생종 품종들의 반응은 대체로 둔감한 것으로 나타났다. 출수 후 온도의 영향 정도를 분석한 결과 천립중, 등숙률, 완전발육미율, 수량은 출수 후 20일간의 평균기온과 가장 높은 상관관계를 보였으며, 온도가 높아질수록 부정적인 영향을 미치는 것으로 나타났다. 상관분석 결과를 바탕으로 로지스틱 함수를 이용하여 품종 간 온도 반응 특성의 차이를 분석하였다. 수량의 경우 품종 간 온도 반응 특성이 다르지 않은 것으로 나타나, 품종에 상관없이 온도 반응에 대한 추정이 가능할 것으로 사료된다. 이와 달리 천립중, 등숙률, 완전발육미율, 임실률의 경우 품종별로 온도 반응 특성이 달랐으므로, 각 품종에 맞는 온도 반응 추정식을 이용해야 할 것이다.

• 한국산림과학회지
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• 제90권2호
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• pp.176-183
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• 2001

본(本) 연구(硏究)에서는 목재(木材)의 다목적(多目的) 생산량(生産量)(multiple-product yield) 예측(豫測)에 대한 해결책(解決策)으로서 테다소나무(Pinus taeda L.) 조림지(造林地)를 대상으로 하여 Weibull 직경분포(直徑分布) 수확예측(收穫豫測) 시스템을 개발(開發)하였다. 직경분포(直徑分布) 수확예측(收穫豫測) 모형(模型)을 개발(開發)하기 위하여, 4개의 백분위수(百分位數) 식(式)들을 근거(根據)로 한 모수(母數) 회복(回復)(parameter recovery) 절차법(節次法)을 적용(適用)하였다. 또한 직경급(直徑級)에 대한 수확량(收穫量) 계산(計算)을 위하여 단목(單木) 수고(樹高) 예측식(豫測式)을 개발(開發)하였으며, 그리고 단목(單木) 재적(材積) 예측식(豫測式)을 이용(利用)함으로써 직경급(直徑級)에 대해 기대되는 재적량(材積量)을 계산(計算)할 수가 있다. 본(本) 연구(硏究)에서 사용(使用)된 직경급(直徑級)에 대한 Weibull 누적함수(累積函數)의 상한선(上限線) 차이(差異) 방법(方法)이 기존(旣存)의 상한선(上限線)과 하한선(下限線)의 절차법(節次法)보다도 괄약오차(括約誤差)를 줄 일수 있는 보다 나은 절차법(節次法)이였다. 본(本) 연구(硏究)에서 제시(提示)된 Weibull 직경분포(直徑分布) 수적예측(收積豫測) 시스템에 대한 타당성(妥當性) 검정(檢定)의 한 방법(方法)으로서 Kolmogorov-Smirnov test 결과(結果), 각(各) plot당 예측(豫測)된 직경분포(直徑分布)와 관측(觀測)된 직경(直徑) 분포급(分布級) 사이에서 통계적(統計的) 유의성(有意性)이 없는 것으로 나타났다. 이와 같은 직경분포(直徑分布) 수확예측(收穫豫測) 시스템은 다목적(多目的) 목재(木材) 생산량(生産量) 예측(豫測)과 임분(林分) 구조(構造) 모형(模型) 및 임분(林分)의 경영(經營)에 유용(有用)한 정보(情報)를 제공(提供)할 것이다.

• 소성∙가공
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• 제24권4호
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• pp.241-247
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• 2015

In order to prevent shape defects such as fluting and stretcher strains during press forming of aged low carbon steel sheets, roller leveling conditions for reducing yield point elongation were studied. Yield point elongations of leveled sheets were determined as a function of leveling, which is defined as the plastic fraction or the ratio of plastically deformed part in sheet thickness section to the whole thickness of the sheet. By adjusting this plastic fraction during leveling to more than 78%, yield point elongation in the leveled sheets was reduced so no fluting occurred during subsequent tangential bending. Stretcher strains can be avoided by leveling the sheet to an 84% plastic fraction condition.

• 한국공작기계학회논문집
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• 제10권4호
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• pp.84-90
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• 2001

The electro-reheoligical(ER) effect refers to the abrupt change in viscosity in certain suspensions on application of an electric field. This paper presents experimental results on material properties of an ER fluids subjected to electrical fatigues. As a first step, two types of EF fluids are made of arabic gum and methyl cellulose(MC) choosing 25% of parti-cle weight-concentration. Following the construction of test mechanism for electrical durability of ER fluid, the dynamic yield shear stress and current density of the ER fluids are experimentally distilled as a function of electric field. The yield shear stress of operated ER fluids are distilled and compared with those of unused ER fluids.

• 소성∙가공
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• 제15권8호
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• pp.533-538
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• 2006

A simplified numerical procedure to predict drawbead restraining forces(DBRF) has been developed based on the hybrid membrane/bending method which superposes bending effects onto membrane solutions. As a semi-analytical method, the new approach is especially useful to analyze the effects of various constitutive parameters. The present model can accommodate general anisotropic yield functions along with non-linear isotropic-kinematic hardening under the plane strain condition. For the preliminary results, several sensitivity analyses for the process and material effects such as friction, drawbead depth, hardening behavior including the Bauschinger effect and yield surface shapes on the DBRF are carried out.

• 산업공학
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• 제21권2호
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• pp.151-160
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• 2008

Defect size distribution is a probability density function for the defects that occur on wafers or glasses during semiconductor/LCD fabrication. It is one of the most important information to estimate manufacturing yield using well-known statistical estimation methods. The defects are detected by automatic optical inspection (AOI) facilities. However, the data that is provided from AOI is not accurate due to resolution of AOI and its defect detection mechanism. It causes distortion of defect size distribution and results in wrong estimation of the manufacturing yield. In this paper, I suggest a size conversion method and a maximum likelihood estimator to overcome the vague defect size information of AOI. The methods are verified by the Monte Carlo simulation that is constructed as similar as real situation.