• Asian-Australasian Journal of Animal Sciences
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• 제28권8호
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• pp.1061-1065
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• 2015

Data collected from 690 purebred Duroc pigs from 2009 to 2012 were used to estimate the heritability, and genetic and phenotypic correlations between production and meat quality traits. Variance components were obtained through the restricted maximum likelihood procedure using Wombat and SAS version 9.0. Animals were raised under the same management in five different breeding farms. The average daily gain, loin muscle area (LMA), backfat thickness (BF), and lean percent (LP) were measured as production traits. Meat quality traits included pH, cooking loss, lightness ($L^*$), redness ($a^*$), yellowness ($b^*$), marbling score (MS), moisture content (MC), water holding capacity (WHC), and shear force. The results showed that the heritability estimates for meat quality traits varied largely from 0.19 to 0.79. Production traits were moderate to highly heritable from 0.41 to 0.73. Genotypically, the BF was positively correlated (p<0.05) with MC (0.786), WHC (0.904), and pH (0.328) but negatively correlated with shear force (-0.533). The results of genetic correlations indicated that selection for less BF could decrease pH, moisture content, and WHC and increase the shear force of meat. Additionally, a significant positive correlation was recorded between average daily gain and WHC, which indicates pork from faster-growing animals has higher WHC. Furthermore, selection for larger LMA and LP could increase MS and lightness color of meat. The meat quality and production traits could be improved simultaneously if desired. Hence, to avoid further deterioration of pork characteristics, appropriate selection of traits should be considered.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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• pp.359-362
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• 2004

In multi-dimensional image, ICA-based feature extraction algorithm, which is proposed in this paper, is for the purpose of detecting target feature about pixel assumed as a linear mixed spectrum sphere, which is consisted of each different type of material object (target feature and background feature) in spectrum sphere of reflectance of each pixel. Landsat ETM+ satellite image is consisted of multi-dimensional data structure and, there is target feature, which is purposed to extract and various background image is mixed. In this paper, in order to eliminate background features (tidal flat, seawater and etc) around target feature (laver farm) effectively, pixel spectrum sphere of target feature is projected onto the orthogonal spectrum sphere of background feature. The rest amount of spectrum sphere of target feature in the pixel can be presumed to remove spectrum sphere of background feature. In order to make sure the excellence of feature extraction method based on ICA, which is proposed in this paper, laver farm feature extraction from Landsat ETM+ satellite image is applied. Also, In the side of feature extraction accuracy and the noise level, which is still remaining not to remove after feature extraction, we have conducted a comparing test with traditionally most popular method, maximum-likelihood. As a consequence, the proposed method from this paper can effectively eliminate background features around mixed spectrum sphere to extract target feature. So, we found that it had excellent detection efficiency.

• 천문학회지
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• 제53권5호
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• pp.99-102
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• 2020

I show that when the observables (π_E, t_E, θ_E, π_s, µ_s) are well measured up to a discrete degeneracy in the microlensing parallax vector π_E, the relative likelihood of the different solutions can be written in closed form P_i = KH_iB_i, where H_i is the number of stars (potential lenses) having the mass and kinematics of the inferred parameters of solution i and B_i is an additional factor that is formally derived from the Jacobian of the transformation from Galactic to microlensing parameters. Here t_E is the Einstein timescale, θ_E is the angular Einstein radius, and (π_s, µ_s) are the (parallax, proper motion) of the microlensed source. The Jacobian term B_i constitutes an explicit evaluation of the "Rich Argument", i.e., that there is an extra geometric factor disfavoring large-parallax solutions in addition to the reduced frequency of lenses given by H_i. I also discuss how this analytic expression degrades in the presence of finite errors in the measured observables.

• Nuclear Engineering and Technology
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• 제53권6호
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• pp.1979-1990
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• 2021

Evacuation Time Estimate (ETE) can provide decision-makers with a likelihood to implement evacuation of a population with radiation exposure risk by a nuclear power plant. Thus, the ETE is essential for developing an emergency response preparedness. However, studies on ETE have not been conducted adequately in Korea to date. In this study, different cohorts were selected based on assumptions. Existing local data were collected to construct a multi-model network by TSIS-CORSIM code. Furthermore, several links were aggregated to make simple calculations, and post-processing was conducted for dealing with the stochastic property of TSIS-CORSIM. The average speed of each cohort was calculated by the link aggregation and post-processing, and the evacuation time was estimated. As a result, the average cohort-based evacuation time was estimated as 2.4-6.8 h, and the average clearance time from ten simulations in 26 km was calculated as 27.3 h. Through this study, uncertainty factors to ETE results, such as classifying cohorts, degree of model complexity, traffic volume outside of the network, were identified. Various studies related to these factors will be needed to improve ETE's methodology and obtain the reliability of ETE results.

• The Journal of Asian Finance, Economics and Business
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• 제8권3호
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• pp.1045-1052
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• 2021

The main purpose of this paper is to explore the relationship between financial inclusion and socio-economic and demographic factors. Ownership of bank accounts, availing of credit facility, and use of mobile banking were considered the major indicators of financial inclusion. To achieved this objective, the present study was conducted in the rural regions of three hill districts of Uttarakhand. 780 rural households were selected by using stratified and judgment sampling technique. To measure the association between the variables, binary logistic regression model was employed. The findings of the study revealed that there is a significant association of socio-economic variables with financial inclusion. The overall analysis of the study indicates that the likelihood of having bank account, usage of mobile banking facility, and availing credit facility increases with the increase in the financial literacy of an individual in hill rural regions of the state. Further, the study also indicates the vulnerability of women relative to that of men in both cases of mobile usage and availing credit. The findings of the study suggest to target the economically vulnerable section of population (as identified in case of having low financial inclusion) and enhancing the financial literacy in these regions.

• 한국패류학회지
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• 제24권2호
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• pp.121-130
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• 2008

양식 대상 종들에 있어 성장형질에 대한 개량은 선발 육종을 통하여 이루어져 왔다. 북방전복과 둥근전복은 아시아에서는 매우 중요한 전복종이 지만 그동안 이들에 대한 선발 육종연구는 활발하지 못하였으나, 최근 들어 이들 전복에 대한 선발 육종연구가 신중히 수행되고 있다. 본 연구는 12개월 령의 북방전복과 둥근전복에 대한 다형질 개체모형을 이용하여 유전력, 유전상관 및 표형형상관 등 유전모수 추정을 목적으로 수행되었다. 실험에 사용한 한국산 북방전복과 둥근전복은 동해안, 남해안, 서해안 및 제주연안의 전국 11개소로부터 자연산과 양식산으로 구분하여 수집한 후, DNA 분석에 의한 원거리 유연관계를 기초로 F1세대의 전형매 혹은 반형매군을 각각 생산하고 1년간 사육을 실시하였다. 이중 임의로 추출한 북방전복 26가계(1,509 마리), 둥근전복 6가계(297 마리)에 대해 각장(mm), 각폭(mm) 및 중량(g)에 대해 개체별 측정하고, 유전모수 추정은 성장관련형질인 각장, 각폭, 중량, 체형 및 비만도에 대해 각각 실시하였다. 개체의 성장형질에 영향을 미치는 환경효과분석을 위해 animal model에 의한 선형모형을 이용하여 SAS 통계 프로그램 package(ver. 9.1)로 통계분석을 실시하였다. 또한 유전모수 추정을 위해서는 EL-REML(restricted maximum likelihood) method를 전산 프로그램화한 REMLF90(Misztal, 2001)을 이용하여 다형질 혼합모형으로 유전모수 추정을 실시하였다. 분석모형에서 교배 sire와 dam의 자연산 혹은 양식산에 의한 교배타입을 고정효과로 하였다. 분석결과 12개월 령에서의 성장관련 형질은 북방전복에서 평균$\pm$표준편차가 각장 $29.86{\pm}5.89$ mm, 각폭 $20.70{\pm}4.09$ mm 및 중량 $3.47{\pm}2.05$ g, 둥근전복은 각장 $31.80{\pm}6.15$ mm, 각폭 $21.97{\pm}4.13$ mm 및 중량 $4.23{\pm}2.42$ g으로 각각 성장하였다. 12개월 령 북방전복의 유전율은 각장, 각폭, 중량, 체형 및 비만도에서 각각 0.43, 0.43, 0.40, 0.19, 0.09로 추정되었다. 12개월 령 둥근전복의 각장, 각폭, 중량, 체형 및 비만도에 대한 유전율은 각각 0.33, 0.26, 0.51, 0.23, 0.10으로 추정되었다. 이러한 결과로 보아, 북방전복과 둥근전복 모두 각장, 각폭 및 중량에서 중고도의 유전율이 추정되어 높은 육종효과가 기대된다. 한편 북방전복과 둥근전복의 성장관련형질에 대한 유전상관은 각장과 각폭, 각장과 중량 및 각폭과 중량 간에 각각 0.92-0.97, 0.96-0.99로 추정되어 두 종 모두에서 형질들 간의 높은 유전상관을 나타내었으며, 이들 성장관련 형질 중 어느 것을 기준으로 선발을 실시하여도 다른 관련형질에 대한 높은 개량효과가 추정되어졌다.

• Structural Engineering and Mechanics
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• 제25권3호
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• pp.331-345
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• 2007

Uncertainties enter a complex analysis from a variety of sources: variability, lack of data, human errors, model simplification and lack of understanding of the underlying physics. However, for many important engineering applications insufficient data are available to justify the choice of a particular probability density function (PDF). Sometimes the only data available are in the form of interval estimates which represent, often conflicting, expert opinion. In this paper we demonstrate that Bayesian estimation techniques can successfully be used in applications where only vague interval measurements are available. The proposed approach is intended to fit within a probabilistic framework, which is established and widely accepted. To circumvent the problem of selecting a specific PDF when only little or vague data are available, a hierarchical model of a continuous family of PDF's is used. The classical Bayesian estimation methods are expanded to make use of imprecise interval data. Each of the expert opinions (interval data) are interpreted as random interval samples of a parent PDF. Consequently, a partial conflict between experts is automatically accounted for through the likelihood function.

• Communications for Statistical Applications and Methods
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• 제6권1호
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• pp.11-24
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• 1999

In this paper we propose a method to test $\textit{H}$:$\rho_i$=$\gamma_i$ for 1$\leq$$\textit{i}$$\leq$$\ell$ against $\textit{K}$:$\rho_i$$\neq$$\gamma_i$ for some ｉin k-variance component random or mixed linear model where $\rho$i denotes the ratio of the i-th variance component to the error variance and $\ell$$\leq$K. The test which we call Rao-Wald test is exact and does not depend upon nuisance parameters. From a numerical study of the power performance of the test of the interaction effect for the case of a two-way random model Rao-Wald test was seen to be quite comparable to the locally best invariant (LBI) test when the nuisance parameters of the LBI test are assumed known. When the nuisance parameters of the LBI test are replaced by maximum likelihood estimators Rao-Wald test outperformed the LBI test.

• ALGAE
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• 제27권3호
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• pp.175-187
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• 2012

Hainan is the second largest and southernmost island of China, and it harbors many species of the family Gracilariaceae. In this study, we conducted molecular and morphological analyses of gracilarian specimens collected from Hainan Island, to clarify their taxonomic identity and phylogenetic relationships. Five species of Gracilariaceae in Hainan were determined through maximum likelihood and Bayesian analysis of rbcL sequence data. Based on the phylogenetic trees and morphology, Hainan specimens were identified as three species of Gracilaria, one species of Gracilariopsis, and one species of Hydropuntia, namely, G. salicornia, G. tenuistipitata, Gracilaria sp., Gp. bailiniae and H. edulis. This is the first report of the molecular phylogeny of Gracilariaceae on Hainan Island, and it helps to clarify the taxonomy and distribution of gracilarian species in the Asia-Pacific region.

• 품질경영학회지
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• 제34권4호
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• pp.133-138
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• 2006

In this paper, we propose a software reliability growth model (SRGM) based on the testing domain, which is isolated by the executed test cases. This model assumes an imperfect debugging environment in which new faults are introduced in the fault-correction process. We consider that the fault detection rate of NHPP model is changed in the proposed SRGM. We obtain the maximum likelihood estimate, and compare goodness-of-fit with another existing software reliability growth model.