• 제목/요약/키워드: yield.

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Hill48 이차 항복식을 이용한 변형률 속도에 따른 수정된 항복곡면의 구성 (Construction of Modified Yield Loci with Respect to the Strain Rates using Hill48 Quadratic Yield Function)

  • 이창수;배기현;김석봉;허훈
    • 한국자동차공학회논문집
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    • 제18권2호
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    • pp.56-60
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    • 2010
  • Since the forming process involves the strain rate effect, a yield function considering the strain rate is indispensible to predict the accurate final blank shape in the forming simulation. One of the most widely used in the forming analysis is the Hill48 quadratic yield function due to its simplicity and low computing cost. In this paper, static and dynamic uni-axial tensile tests according to the loading direction have been carried out in order to measure the yield stress and the r-value. Based on the measured results, the Hill48 yield loci have been constructed, and their performance to describe the plastic anisotropy has been quantitatively evaluated. The Hill48 quadratic yield function has been modified using convex combination in order to achieve accurate approximation of anisotropy at the rolling and transverse direction.

Interactive Effect of Nitrogen and Sulphur on Yield and Quality of Groundnut (Arachis hypogea L.)

  • Jamal Arshad;Fazli Inayat Saleem;Ahmad Saif;Abdin Malik Zainul
    • 한국작물학회지
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    • 제51권6호
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    • pp.519-522
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    • 2006
  • Randomized field experiments were conducted to study the interactive effect of sulphur (S) and nitrogen (N) on seed, oil and protein yield of two cultivars of groundnut {Arachis hypogea: cv Amber $(V_{1})$: cv Kaushal, $(V_{2})$.} Two dosage levels of sulphur ($0\;and\;20kg\;ha^{-1}$) and two dosage levels of N ($23.5\;and\;43.5kg\;ha^{-1}$) in various combinations were tested as micronutrient treatments, $T_{1},\;T_{2},\;and\;T_{3}$. Results indicated significant enhancement of the yield components namely seed and oil yield as well as seed protein. Maximum response was observed with treatment $T_{3}$(having 20kg S and 43.5kg N $ha^{-1})$. Increase in seed and oil yields of 90% and 103% in $V_{1}$, and 79 and 90% in $V_{2}$, respectively were recorded as compared to the control treatment $T_{1}$(having 0kg S and 23.5kg N $ha^{-1}$). Effect of S and N interaction was observed on protein, N and S content in seeds. The results obtained by these experiments clearly suggest that judicious balanced application of N and S could improve the yield.

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.

생물경제학적 어업자원 관리정책에 관한 연구 (Bioeconomic Management Policy for Fisheries Resources)

  • 표희동;권석재
    • 수산해양교육연구
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    • 제16권1호
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    • pp.84-98
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    • 2004
  • Due to a publicly owned resources, the overexploitation of the fisheries resources can result in externalities in the form of reduced future levels of yield. These problems can be theoretically improved through effective management of the fishery. The paper illustrates maximum sustainable yield(MSY), maximum economic yield(MEY) and F0.1 level of fishing mortality as the concept of optimal yield, and it theoretically shows that MSY is more appropriate for the optimal yield than MEY where prices increase even though MEY achieves the maximization of economic rent in a fishery assuming constant prices. And the paper presents several fisheries management tools and policies such as input controls, output controls and taxes. As the traditional approach to fishery management, input controls involve restrictions on the physical inputs into the production process(e.g. capital, time or technology) and output controls involve limits on the quantity of fish that can be landed. To introduce user cost into the harvest decisions of rent-seeking fishers, taxation, as a bioeconomic management policy of the fisheries, directly addresses the problems associated with the resource being unpriced. As most fisheries management plans, however, have increasing fisher income as an objective, taxes have not been introduced into any fisheries management policies despite their theoretical attraction.

Assessment of Sediment Yield according to Observed Dataset

  • Lee, Sangeun;Kang, Sanghyeok
    • 한국환경과학회지
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    • 제25권10호
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    • pp.1433-1444
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    • 2016
  • South Korea is a maritime nation, surrounded by water on three sides; hence, it is important to preserve in a sustainable manner. Most areas, especially those bordering the East Sea, have been suffering from severe coastal erosion. Information on the sediment yield of a river basin is an important requirement for water resources development and management. In Korea, data on suspended sediment yield are limited owing to a lack of logistic support for systematic sediment sampling activities. This paper presents an integrated approach to estimate the sediment yield for ungauged coastal basins by using a soil erosion model and a sediment delivery rate model in a geographic information system (GIS)-based platform. For applying the sediment yield model, a basin specific parameter was validated on the basis of field data, that, ranging from 0.6 to 1.2 for the 19 gauging stations. The calculated specific sediment yield ranged from 17 to $181t/km^2.yr$ in the various basin sizes of Korea. We obtained reasonable sediment yield values when comparing the measured data trends around the world with those in Korean basins.

Genetic algorithm-based yield stress equations for concrete at high temperature and prolonged mixing time

  • Martini, S. Al;Nehdi, M.
    • Computers and Concrete
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    • 제6권4호
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    • pp.343-356
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    • 2009
  • Experiments were designed to investigate the flow behavior of portland cement paste and concrete incorporating superplasticizers. The paste and concrete mixtures were subjected to prolonged mixing for up to 110 min at high temperature. The yield stress values of concrete and that of the corresponding cement paste were measured using a rotating rheometer and viscometer, respectively. The results reveal a weak linear correlation between the yield stress of concrete mixtures and that of the corresponding cement pastes. Results also indicate that the yield stress of concrete varies in a linear fashion with the elapsed time, while its variations with the temperature and superplasticizer dosage follow power and inverse power functions, respectively. In this study, the genetic algorithms (GA) technique was used to predict the yield stress of concrete considering various parameters, such as the mixing time, ambient temperature, and superplasticizer dosage. A sensitivity study was conducted to evaluate the ability of the GA equations thus developed to capture the effects of test parameters on the yield stress of concrete. It was found that the GA equations were sensitive to the effects of test parameters and provided yield stress predictions that compared well with corresponding experimental data.

기상요소와 MODIS NDVI를 이용한 한국형 논벼 생산량 예측모형 (KRPM)의 개발 (Development of Korean Paddy Rice Yield Prediction Model (KRPM) using Meteorological Element and MODIS NDVI)

  • 나상일;박종화;박진기
    • 한국농공학회논문집
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    • 제54권3호
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    • pp.141-148
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    • 2012
  • Food policy is considered as the most basic and central issue for all countries, while making efforts to keep each country's food sovereignty and enhance food self-sufficiency. In the case of Korea where the staple food is rice, the rice yield prediction is regarded as a very important task to cope with unstable food supply at a national level. In this study, Korean paddy Rice yield Prediction Model (KRPM) developed to predict the paddy rice yield using meteorological element and MODIS NDVI. A multiple linear regression analysis was carried out by using the NDVI extracted from satellite image. Six meteorological elements include average temperature; maximum temperature; minimum temperature; rainfall; accumulated rainfall and duration of sunshine. Concerning the evaluation for the applicability of the KRPM, the accuracy assessment was carried out through correlation analysis between predicted and provided data by the National Statistical Office of paddy rice yield in 2011. The 2011 predicted yield of paddy rice by KRPM was 505 kg/10a at whole country level and 487 kg/10a by agroclimatic zones using stepwise regression while the predicted value by KOrea Statistical Information Service was 532 kg/10a. The characteristics of changes in paddy rice yield according to NDVI and other meteorological elements were well reflected by the KRPM.

스마트제조시스템의 설비인자 분석 (Analysis of Equipment Factor for Smart Manufacturing System)

  • 안재준;심현식
    • 반도체디스플레이기술학회지
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    • 제21권4호
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    • pp.168-173
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    • 2022
  • As the function of a product is advanced and the process is refined, the yield in the fine manufacturing process becomes an important variable that determines the cost and quality of the product. Since a fine manufacturing process generally produces a product through many steps, it is difficult to find which process or equipment has a defect, and thus it is practically difficult to ensure a high yield. This paper presents the system architecture of how to build a smart manufacturing system to analyze the big data of the manufacturing plant, and the equipment factor analysis methodology to increase the yield of products in the smart manufacturing system. In order to improve the yield of the product, it is necessary to analyze the defect factor that causes the low yield among the numerous factors of the equipment, and find and manage the equipment factor that affects the defect factor. This study analyzed the key factors of abnormal equipment that affect the yield of products in the manufacturing process using the data mining technique. Eventually, a methodology for finding key factors of abnormal equipment that directly affect the yield of products in smart manufacturing systems is presented. The methodology presented in this study was applied to the actual manufacturing plant to confirm the effect of key factors of important facilities on yield.

A Strategy of Assessing Climate Factors' Influence for Agriculture Output

  • Kuan, Chin-Hung;Leu, Yungho;Lee, Chien-Pang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제16권5호
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    • pp.1414-1430
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    • 2022
  • Due to the Internet of Things popularity, many agricultural data are collected by sensors automatically. The abundance of agricultural data makes precise prediction of rice yield possible. Because the climate factors have an essential effect on the rice yield, we considered the climate factors in the prediction model. Accordingly, this paper proposes a machine learning model for rice yield prediction in Taiwan, including the genetic algorithm and support vector regression model. The dataset of this study includes the meteorological data from the Central Weather Bureau and rice yield of Taiwan from 2003 to 2019. The experimental results show the performance of the proposed model is nearly 30% better than MARS, RF, ANN, and SVR models. The most important climate factors affecting the rice yield are the total sunshine hours, the number of rainfall days, and the temperature.The proposed model also offers three advantages: (a) the proposed model can be used in different geographical regions with high prediction accuracies; (b) the proposed model has a high explanatory ability because it could select the important climate factors which affect rice yield; (c) the proposed model is more suitable for predicting rice yield because it provides higher reliability and stability for predicting. The proposed model can assist the government in making sustainable agricultural policies.

중부지방에 있어서의 수도건답직파재배 기술체계확립에 관한 시험연구 (Studies on Direct Sowing-Dry Paddy Rice Culture in the Middle Part of Korea)

  • 이재현
    • 한국작물학회지
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    • 제7권1호
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    • pp.1-29
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    • 1969
  • 중부지방에 있어서 수도건답직파재배 기술체계를 확립하고저 충청남도농촌진흥원에서 품증,시비, 파종기와 파종량, 관수시기 및 제초제에 관한 시험을 실시하였는데 그 결과를 요약하면 다음과 같다. 1. 수도 주요품종 16개를 건답직파재배를 하고 또한 수개 품종은 보통 이앙재배도 병행하여 건답직파재배의 경우와 수량 및 수량구성요소에 대하여 비교하였으며 각 품종의 생육과 수량 및 수량구성요소에 대한 특성을 조사하여 품종간의 차이를 보았다. (1) 건답직파재배는 이앙재배보다 수수가 현저히 많았으며 1수영화수는 반대로 매우 적었으며 결실율은 낮았고 수량은 품종에 따라 차이가 있는데 호광은 많았고 농립2005는 이앙재배보다도 적었다. (2) 공시품종 16개 가운데 수량이 10a당 325kg이상으로서 비교적 많았던 품종은 선단, 농림2005, 재건, 호광, 팔굉 및 고시였고 반대로 271kg이하로서 비교적 적었던 품종은 남풍, 팔달, 농공, 농림29호, 은방주10001 및 ${\ulcorner}$시로가네${\lrcorner}$로서 그들 품종의 수량과 수량구성요소와의 관계를 보면 ${\bullet}$ 수수와 수량 : ㄱ. 수수가 많고 수량이 많은 품종=재건, 호광, 팔굉, 고시. ㄴ. 수수가 적고 수량이 많은 품종=선단, 농림2005. ㄷ. 수수가 많고 수량이 적은 품종=은방주10001 ${\ulcorner}$시로가네${\lrcorner}$. ㄹ. 수수가 적고 수량도 적은 품종=남풍, 팔달, 농림29호. 1. 수영화수와 수량 : ㄱ. 1수영화수가 많고 수량이 많은 품종=선단, 농림2005, 고시. ㄴ. 1수영화수가 적고 수량이 많은 품종=재건, 호광, 팔굉. ㄷ. 1수영화수가 많고 수량이 적은 품종=팔달, 남풍. ㄹ. 1수영화수가 적고 수량도 적은 품종=농림29호. 은방주10001 ${\ulcorner}$시로가네${\lrcorner}$. ${\bullet}$ 결실율과 수량 : ㄱ. 결실율이 높고 수량이 많은 품종=재건, 선단, 농림2005, 팔굉. s. 결실율이 낮고 수량이 많은 품종=호광, 고시. ㄷ. 결실율이 높고 수량이 적은 품종=은방주, 팔달, ㄹ. 결실율이 낮고 수량도 적은 품종=은방주10001, 남풍, ${\ulcorner}$시로가네${\lrcorner}$.${\bullet}$ 천립중과 수량 : ㄱ. 천립중이 무겁고 수량이 많은 품종=농림2005, 호광. ㄴ. 천림중이 가볍고 수량이 많은 품종=선단, 재건. ㄷ. 천립중이 무겁고 수량이 적은 품종=농광, 은방주. ㄹ. 천립중이 가볍고 수량도 적은 품종=농림29호, ${\ulcorner}$시로가네${\lrcorner}$. 2. 삼요소의 시용 시험결과 그 적량은 10a당 질소 10kg, 인산 5kg, 및 가리 6kg 정도였으며 질소는 8kg 이상의 경우에는 분시할수록 비효가 높았으며 특히 벼의 후기 중점시비에 의하여 1수영화수와 결실율의 증대가 크게 이루어졌다. 3. 파종기와 파종량에 관한 시험결과는 공시품종선단의 파종적기는 4월 25일부터 5월 10일경까지 인데 이 기간중 일찍 파종하는 경우에 파종적량은 10a당 약 8${\ell}$이고 늦은 경우에는 12${\ell}$ 정도였다. 여기서 늦게 파종한 경우 감수의 가장 큰 원인은 1수영화수가 적어지기 때문이었다. 4. 건답직파에 대한 담수상태로 관수를 시작하는 적기는 파종후 55일인 6월 25일구가 수량이 가장 많았고 이보다 15일전인 6월 10일과 15일후인 7월 15일구도 좋았으며 이보다 늦어지면 감수됨을 인정하였다. 5. LOROX.TOK.PCP.MO-338의 약제토양처리구들은 관행제초구의 수량과 통계적으로 유의차를 보이지 않았으나 수치적으로는 관행제초구보다 적었다. 한편 관수후에 TOK.MO-338, StamF-34, ORDRAM의 약제처리를한 구의 수량은 관행제초구에 비하여 ORDRAM과 TOK는 유의차가 인정되지 않았으며 그밖에 약제처리구는 수량이 적음을 인정하게 되었다. 또한 각약제의 토양처리에 대한 잡초의 반응은 각각 다르고 LOROX는 ${\ulcorner}$바랭이${\lrcorner}$에 대하여 살초율이 높았고 TOK, MO-338은 화본과잡초에도 효과가 있었으나 그밖에 잡초에 대하여도 살초율이 높았다. 그리고 관수호의 처리에 있어서 ORDRAM 및 TOK는 살초율이 높았고 TOK, MO-338 및 StamF-34는 살초효과도 있고 그밖에 잡초에 대해서도 살초효과가 좋았다.

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