• 농업과학연구
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• 제43권4호
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• pp.623-633
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• 2016

A total of 6,973 steer growth records of Hanwoo breeding bull's progeny test data collected from 1989 to 2015 were analyzed to identify the most appropriate growth curve among three growth curve models (Gompertz, Logistic and von Bertalanffy). The Gompertz growth curve model equation was $W_t=990.5e^{{-2.7479e}^{-0.00241t}}$, the Logistic growth curve model equation was $W_t=772(1+8.3314e^{-0.00475t})^{-1}$, and the von Bertalanffy growth curve model equation was $W_t=1,196.4(1-0.646e^{-0.00162t})^3$. The Gompertz model parameters A, b, and k were estimated to be $990.5{\pm}10.27$, $2.7479{\pm}0.0068$, and $0.00241{\pm}0.000028$, respectively. The inflection point age was estimated to be 421 days and the weight of inflection point was 365.3 kg. The Logistic model parameters A, b, and k were estimated to be $772.0{\pm}4.12$, $8.3314{\pm}0.0453$, and $0.00475{\pm}0.000033$, respectively. The inflection point age was estimated to be 445 days and the weight of inflection point was 385.0 kg. The von Bertalanffy model parameters A, b, and k were estimated to be $1196.4{\pm}18.39$, $0.646{\pm}0.0010$, and $0.00162{\pm}0.000027$, respectively. The inflection point age was estimated to be 405 days and the weight of inflection point was 352.0 kg. Mature body weight of the von Bertalanffy model was 1196.4 kg, the Gompertz model was 990.5 kg, and the Logistic model was 772.0 kg. The difference between actual and estimated weights was similar in the Logistic model and the von Bertalanffy model. The difference between market weight and estimated market weight was the lowest in the Gompertz model. The growth curve using the von Bertalanffy model showed the lowest mean square error.

• 대한지역사회영양학회지
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• 제12권6호
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• pp.838-853
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• 2007

The aim of this study was to develop various types of a dish frequency questionnaire (DFQ) for estimating the habitual sodium intake and to evaluate the validity of a 125 item dish frequency questionnaire (DFQ 125) with the DFQ 70, DFQ 36 and DFQ 15. For the DFQ 125, one hundred and twenty five dish items were selected based on the information of sodium content of a one serving size, consumption frequency and dish items that contributed most to the variation of sodium intake. Frequency of consumption was determined through nine categories ranging from more than 3 times a day to almost never to indicate how often the specified amount of each food item was consumed during the past 6 months. The sodium intake estimated with DFQ 125 was $5775.0{\pm}3636.3mg$, 12.6% higher than that estimated with a 24 hr urine analysis ($5009.7{\pm}1541.9mg$) and significant correlation was observed between them (r=0.3315, p<0.001). When sodium content in broth leftover was subtracted from the total intake, the actual sodium intakes was decreased to $5309.6{\pm}3076.6mg$, which was 3.2% higher than that with a 24-hr urine analysis. Overall, 56% of subjects in the lowest quintile of sodium intake computed with DFQ 125 were also in the lowest of adjacent quintile while categorization into the opposite quintile were 4.9%. DFQ 70 was developed from DFQ 125 by omitting the food items not frequently consumed, selecting the dish items that showed higher sodium content per one portion size and higher consumption frequency. The sodium intake estimated with DFQ 70 ($5026.6{\pm}3107.1mg$) showed only 0.2% difference from that estimated with a 24-hr urine analysis, significant correlation with it (r=0.3199, p<0.001) and higher proportion of subjects to be classified into the same or adjacent quintile. The sodium intake estimated with DFQ 36 or DFQ 15 was also significancy correlated with that estimated with a 24-hr urine analysis (r=0.3441, p<0.001; r=0.321, p<0.001 respectively) and more. The proportion of subjects was classified into the same or adjacent quintile. However, the actual sodium intake estimated with DFQ 36 or DFQ 15 were $3534.0{\pm}1804.6mg\;and\;2508.0{\pm}1261.5mg$, respectively, 31.3% or 51.3% less than that estimated with a 24-hr urine analysis. It seems the DFQ 125 with subtraction of sodium content in broth leftover or DFQ 70 can be used quantitatively to estimate sodium intake of adults. DFQ 36 or DFQ 15 can be used as a screening tool or to assess the changes of sodium intake after nutrition education.

• 한국전통조경학회지
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• 제29권3호
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• pp.154-158
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• 2011

본 연구는 조경공사 표준품셈의 개정 작업이 진행되고 있는 현시점에서 한국의 조경공사 표준품셈과 일본의 공원식재공사 표준보괘의 식재 공종의 내용의 특성을 비교하여, 향후 한국의 조경공사 표준품셈의 발전에 기여하는데 연구의 초점을 두고 진행하였다. 표준품셈과 표준보괘의 특성을 파악하기 위해서 한국의 경우는 2010년 '국토해양부'에서 제정한 건설공사 표준품셈 공종내의 조경공사를 연구 대상으로 하였다. 또한 일본의 경우도 2010년 '국토교통성' 제정 토목공사 표준보괘의 공원식재공사 표준보괘를 연구대상으로 하였다. 그리고 한국의 조경공사 표준품셈과 일본의 공원식재공사 표준보괘 공종 중에서 식재 공종에 초점을 두고 품셈의 범위, 세부 공종, 품셈의 구성, 수목 적용 규격, 품셈의 내용 등의 비교를 연구의 내용적 범위로 한정하였다. 한국의 조경공사 표준품셈과 일본의 공원식재공사 표준보괘의 식재 공종의 내용을 비교하여본 결과, 한국의 조경공사 표준품셈은 독립적인 품셈과 품셈의 적용에 있어 융통성이 필요하다. 그리고 지주목에 대한 독립적인 품셈과 운반에 관한 품셈 규정 그리고 조경토와 관련된 품셈 등의 검토를 통하여 한국의 조경공사 표준품셈이 더욱 발전할 수 있다고 판단된다.

• 기술혁신연구
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• 제11권1호
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• pp.147-176
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• 2003

This Paper Presents a new measurement technique to derive the level of BSRC (Basic Science and Research Capacity) index by use of the factor analysis which is extended with the assumption of the standard normal probability distribution of the selected explanatory variables. The new measurement method is used to forecast the gap of Korea's BSRC level compared with those of major OECD countries in terms of time lag and to make their international comparison during the time period of 1981∼1999, based on the assumption that the BSRC progress function of each country takes the form of the logistic curve. The US BSRC index is estimated to be 0.9878 in 1981, 0.9996 in 1990 and 0.99991 in 1999, taking the 1st place. The US BSRC level has been consistently the top among the 16 selected variables, followed by Japan, Germany, France and the United Kingdom, in order. Korea's BSRC is estimated to be 0.2293 in 1981, taking the lowest place among the 16 OECD countries. However, Korea's BSRC indices are estimated to have been increased to 0.3216 (in 1990) and 0.44652 (in 1999) respectively, taking 10th place. Meanwhile, Korea's BSRC level in 1999 (0.44652) is estimated to reach those of the US and Japan in 2233 and 2101, respectively. This means that Korea falls 234 years behind USA and 102 years behind Japan, respectively. Korea is also estimated to lag 34 years behind Germany, 16 years behind France and the UK, 15 years behind Sweden, 11 years behind Canada, 7 years behind Finland, and 5 years behind the Netherlands. For the period of 1981∼1999, the BSRC development speed of the US is estimated to be 0.29700. Its rank is the top among the selected OECD countries, followed by Japan (0.12800), Korea (0.04443), and Germany (0.04029). the US BSRC development speed (0.2970) is estimated to be 2.3 times higher than that of Japan (0.1280), and 6.7 times higher than that of Korea. German BSRC development speed (0.04029) is estimated to be fastest in Europe, but it is 7.4 times slower than that of the US. The estimated BSRC development speeds of Belgium, Finland, Italy, Denmark and the UK stand between 0.01 and 0.02, which are very slow. Particularly, the BSRC development speed of Spain is estimated to be minus 0.0065, staying at the almost same level of BSRC over time (1981 ∼ 1999). Since Korea shows BSRC development speed much slower than those of the US and Japan but relative]y faster than those of other countries, the gaps in BSRC level between Korea and the other countries may get considerably narrower or even Korea will surpass possibly several countries in BSRC level, as time goes by. Korea's BSRC level had taken 10th place till 1993. However, it is estimated to be 6th place in 2010 by catching up the UK, Sweden, Finland and Holland, and 4th place in 2020 by catching up France and Canada. The empirical results are consistent with OECD (2001a)'s computation that Korea had the highest R&D expenditures growth during 1991∼1999 among all OECD countries ; and the value-added of ICT industries in total business sectors value added is 12% in Korea, but only 8% in Japan. And OECD (2001b) observed that Korea, together with the US, Sweden, and Finland, are already the four most knowledge-based countries. Hence, the rank of the knowledge-based country was measured by investment in knowledge which is defined as public and private spending on higher education, expenditures on R&D and investment in software.

• 한국농공학회:학술대회논문집
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• 한국농공학회 1999년도 Proceedings of the 1999 Annual Conference The Korean Society of Agricutural Engineers
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• pp.123-129
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• 1999

Evapotranspiration is one of the important water budget components . An experiment was conducted to measure evapotranspiration. Three lysimeters were used to measure daily evapotranspiration. Lysimetrically measured values were compared with estimated values of various methods in REF-ET model , and then crop coefficient was computed.

• 한국농공학회:학술대회논문집
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• 한국농공학회 2000년도 학술발표회 발표논문집
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• pp.500-506
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• 2000

Discharge characteristics of pollutant loadings from domestic systems were estimated in the catchment of a reclaimed area, Saemankeum. Pollutant loadings was estimated according to the discharge pattern of small treatment facilities. Recycled-fertilizer system was dominant in this area.

• 한국농공학회지
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• 제22권3호
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• pp.75-87
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• 1980

Most hydro]ogic phenomena are the complex and organic products of multiple causations like climatic and hydro-geological factors. A certain significant correlation on the run-off in river basin would be expected and foreseen in advance, and the effect of each these causual and associated factors (independant variables; present-month rainfall, previous-month run-off, evapotranspiration and relative humidity etc.) upon present-month run-off(dependent variable) may be determined by multiple regression analysis. Functions between independant and dependant variables should be treated repeatedly until satisfactory and optimal combination of independant variables can be obtained. Reliability of the estimated function should be tested according to the result of statistical criterion such as analysis of variance, coefficient of determination and significance-test of regression coefficients before first estimated multiple regression model in historical sequence is determined. But some error between observed and estimated run-off is still there. The error arises because the model used is an inadequate description of the system and because the data constituting the record represent only a sample from a population of monthly discharge observation, so that estimates of model parameter will be subject to sampling errors. Since this error which is a deviation from multiple regression plane cannot be explained by first estimated multiple regression equation, it can be considered as a random error governed by law of chance in nature. This unexplained variance by multiple regression equation can be solved by stochastic approach, that is, random error can be stochastically simulated by multiplying random normal variate to standard error of estimate. Finally hybrid model on estimation of monthly run-off in nonhistorical sequence can be determined by combining the determistic component of multiple regression equation and the stochastic component of random errors. Monthly run-off in Naju station in Yong-San river basin is estimated by multiple regression model and hybrid model. And some comparisons between observed and estimated run-off and between multiple regression model and already-existing estimation methods such as Gajiyama formula, tank model and Thomas-Fiering model are done. The results are as follows. (1) The optimal function to estimate monthly run-off in historical sequence is multiple linear regression equation in overall-month unit, that is; Qn=0.788Pn+0.130Qn-1-0.273En-0.1 About 85% of total variance of monthly runoff can be explained by multiple linear regression equation and its coefficient of determination (R2) is 0.843. This means we can estimate monthly runoff in historical sequence highly significantly with short data of observation by above mentioned equation. (2) The optimal function to estimate monthly runoff in nonhistorical sequence is hybrid model combined with multiple linear regression equation in overall-month unit and stochastic component, that is; Qn=0. 788Pn+0. l30Qn-1-0. 273En-0. 10+Sy.t The rest 15% of unexplained variance of monthly runoff can be explained by addition of stochastic process and a bit more reliable results of statistical characteristics of monthly runoff in non-historical sequence are derived. This estimated monthly runoff in non-historical sequence shows up the extraordinary value (maximum, minimum value) which is not appeared in the observed runoff as a random component. (3) "Frequency best fit coefficient" (R2f) of multiple linear regression equation is 0.847 which is the same value as Gaijyama's one. This implies that multiple linear regression equation and Gajiyama formula are theoretically rather reasonable functions.

• 대한지역사회영양학회지
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• 제4권4호
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• pp.521-528
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• 1999

Cardiovascular disease is very prevalent in Korea, and many risk factors, if properly identified are possibly corrected. However, the study results on prevalence and distribution of risk factors may not be reliable while the risk factors of disease are always issued on health promotion projects conducted recently in a community. The subjects of this study were 854 adults who participated in the health and nutrition survey in a community. They were aged between 20 and 69 and sampled representatively. This study intended to estimate the prevalence and the distribution of risk factors of cardiovascular disease such as hypertension, diabetes mellitus, hypercholesterolemia, and obesity. Systolic blood pressure and diastolic blood pressure levels were estimated at $123.9{\pm}2.2mgHg(men)$, $117.9{\pm}1.7mgHg$(women), and $80.4{\pm}1.5mg(men)$, $74.9{\pm}1.1mgHg(women)$, respectively. Glucose level was estimated at $99.1{\pm}2.3mg/dl$ in men, and $95.7{\pm}1.7mg/dl$ in women. The estimated level of total cholesterol and HDL-cholesterol were $183.4{\pm}3.8mg/dl(men)$, $181.7{\pm}3.1mg/dl(men)$, and $122.0{\pm}4.5mg/dl(women)$, and body mass index was estimated at $24.0{\pm}0.4kg/m^2$ in men and $23.9{\pm}0.4kg/m^2$ in men and $23.9{\pm}0.3kg/m^2$ in women. The prevalence of hypertension was 20.5% for men, and 14.4% for women. The prevalence of diabetes mellitus was estimated to 6.9% for men, and 6.1% for women. The estimated prevalence of hypercholesterolemia was 3.8%(men), 3.9%(women). The rate of obesity was estimated to 28.5%(men), 28.4% (women), respectively. The levels of blood pressure, glucose, and cholesterol were higher in men than in women in almost all the almost ate groups. The prevalence of hypertension for men is about 20%. It was found that the prevalence of diabetes mellitus for males aged between 40 and 59 was rapidly increased. The risk factor with highest prevalence was obesity, and hypertension and diabetes mellitus were the second and third most prevalent.

• 한국식품영양과학회지
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• 제38권4호
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• pp.486-489
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• 2009

본 연구는 콩나물을 재배기간과 부위별에 따라 나누고 cell wall에 결합된 다량 무기질의 함량을 측정하여 추정이 용률을 추론하고자 실시하였다. 재배기간 1, 3, 5일차의 콩나물을 채취하여 자엽과 배축으로 분리한 뒤 화학적 방법으로 식이섬유를 분석하고, 중성세제섬유(neutral detergent fiber, NDF)에 결합된 다량 무기질(Ca, P, K, Mg)을 건식분해법으로 분석하여 평가하였다. 자엽과 배축에서의 추정이용률은 Ca이 자엽에서 1일째 97.73%, 3일째 98.44%, 5일째 98.34%로 매우 높았고 P은 1일째 90.98%, 3일째 93.14%, 5일째 94.67%로 Ca보다는 다소 낮은 이용률이었지만 모두 90% 이상의 높은 이용률이었다. K과 Mg의 추정이용률 역시 각각 $97.73{\sim}98.70%$, $98.61{\sim}99.11%$로 매우 높았다. 또한 배축에서는 Ca이 1일째에는 89.50%였으나 5일째에서는 77.79%로 약간 감소하였으나 그 외 P, K, Mg은 3일째에서 5일째로 시간이 경과함에 따라 추정이용률이 증가하였다.

• 수산경영론집
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• 제49권3호
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• pp.85-99
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• 2018

This study is to compare and evaluate the estimating method of WTP(willingness to pay) for the valuation of oceans and fisheries resources with non-market goods characteristics using contingent valuation method. In general, when estimating parameters of the WTP function, we should take into account the assumption of probability distribution, inclusion of covariates, method of inducement of payment, and the treatment of 0 payment intention and resistance responses. This study utilizes survey data that was used to estimate the value of fisheries resource protection zones, with a total of 1,200 samples. The main results of this study are summarized as follows: First, the final willness to pay amount is estimated at a statistical significance of less than 1 percent, and the distribution of the final willness to pay amount is from \6,926 of the double bounded dichotomous model to \10,721 of the spike model. Second, the willness to pay amount based on assumptions about the normal and logistic probability distributions are estimated to be \9,429 and \9,370 respectively, so there was no significant difference. Third, the willness to pay amount of the single bounded dichotomous model and the double bounded dichotomous model are estimated to be \8,951 and \6,926 respectively, making a relatively large difference. Fourth, the willness to pay amount of the model without covariates and the model with covariates are estimated to be \9,429 and \8,951, respectively, so the willness to pay amount is underestimated when the covariates are included. Fifth, the Spike model that considers zero payment intention and resistance response estimates \10,405 as the highest payment in this study. Finally, the CVM analysis guidelines proposed by the Korea Development Institute (KDI) are estimated to be \9,749 and \10,405 respectively, depending on including no covariates and with covariates. Compared to other models, the final willness to pay amount is not estimated underestimated. Therefore this study suggests the use of KDI's guidance under government public policy projects. In view of these results, the estimating model for willness to pay amount model will be selected by considering the sample size, the suitability of the model, the sign of the estimated coefficient, the statistical significance, the ratio of the zero payment intention and the payment rejection. And, for CVMs on government public policy projects, it is desirable to estimate by the method proposed by the KDI.