• Title/Summary/Keyword: 개체모형

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A Sequence of Models for Categorical Data with Compound Scales (복합척도의 범주형 자료에 대한 연속 모형)

  • 최재성
    • The Korean Journal of Applied Statistics
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    • v.14 no.1
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    • pp.103-110
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    • 2001
  • This paper considers a multistage experiment. Response scales can be same or different from stage to stage. When variables are of nested structure, the response variable at each stage can be defined conditionally. For analysing such data with compound scales, this paper suggests a sequnce of dependence models and shows how to set up a sequence of models for the driver's liscense test data.

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Robust ridge regression for nonlinear mixed effects models with applications to quantitative high throughput screening assay data (비선형 혼합효과모형에서의 로버스트 능형회귀 방법과 정량적 고속 대량 스크리닝 자료에의 응용)

  • Yoo, Jiseon;Lim, Changwon
    • The Korean Journal of Applied Statistics
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    • v.31 no.1
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    • pp.123-137
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    • 2018
  • A nonlinear mixed effects model is mainly used to analyze repeated measurement data in various fields. A nonlinear mixed effects model consists of two stages: the first-stage individual-level model considers intra-individual variation and the second-stage population model considers inter-individual variation. The individual-level model, which is the first stage of the nonlinear mixed effects model, estimates the parameters of the nonlinear regression model. It is the same as the general nonlinear regression model, and usually estimates parameters using the least squares estimation method. However, the least squares estimation method may have a problem that the estimated value of the parameters and standard errors become extremely large if the assumed nonlinear function is not explicitly revealed by the data. In this paper, a new estimation method is proposed to solve this problem by introducing the ridge regression method recently proposed in the nonlinear regression model into the first-stage individual-level model of the nonlinear mixed effects model. The performance of the proposed estimator is compared with the performance with the standard estimator through a simulation study. The proposed methodology is also illustrated using quantitative high throughput screening data obtained from the US National Toxicology Program.

Study on Sampling Techniques for Digital Elevation Model (수치표고모형에 있어서 표고추출법의 연구)

  • Kang, In-Joon;Jung, Jae-Hyung;Kwak, Jae-Ha
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.10 no.2
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    • pp.49-55
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    • 1992
  • Sampling techniques is very important in digital elevation model. There are scanning and digitizing method of sampling techniques. This study is limited in digitizing method. Continous sampling method use contour lines as same entity and grid method is a direct reading of sample elevation in each grid. Triangulated irregular method is needed to identity topographical lines to sample elevation data. As a results, authors know that continous sampling method has economic in input system and triangulated irregular method has a small memory size.

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모형 인공어초 주변에서 인공반사체의 특성

  • 황두진;박주삼;이유원;김동언
    • Proceedings of the Korean Society of Fisheries Technology Conference
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    • 2003.05a
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    • pp.264-265
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    • 2003
  • 인공어초 주변에 집어된 어업생물의 종류나 생태습성을 파악하기 위하여 전통적으로 잠수와 원격무인잠수정(ROV)에 의해 방법이 이용되어 왔다. 그러나 이 기술은 해양환경이나 어류의 개체구별 어려움 때문에 제한을 받고 있다(Fabi and Sala,2001). 이러한 결점을 보완하기 위하여 최근 어군탐지기를 고정하여 어초에 군집하는 어류의 개체 조사에 사용하고 있다(Fabi and Sala, 2001; Thornee et al., 1989). (중략)

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Methods for Genetic Parameter Estimations of Carcass Weight, Longissimus Muscle Area and Marbling Score in Korean Cattle (한우의 도체중, 배장근단면적 및 근내지방도의 유전모수 추정방법)

  • Lee, D.H.
    • Journal of Animal Science and Technology
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    • v.46 no.4
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    • pp.509-516
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    • 2004
  • This study is to investigate the amount of biased estimates for heritability and genetic correlation according to data structure on marbling scores in Korean cattle. Breeding population with 5 generations were simulated by way of selection for carcass weight, Longissimus muscle area and latent values of marbling scores and random mating. Latent variables of marbling scores were categorized into five by the thresholds of 0, I, 2, and 3 SD(DSI) or seven by the thresholds of -2, -1, 0,1I, 2, and 3 SD(DS2). Variance components and genetic pararneters(Heritabilities and Genetic correlations) were estimated by restricted maximum likelihood on multivariate linear mixed animal models and by Gibbs sampling algorithms on multivariate threshold mixed animal models in DS1 and DS2. Simulation was performed for 10 replicates and averages and empirical standard deviation were calculated. Using REML, heritabilitis of marbling score were under-estimated as 0.315 and 0.462 on DS1 and DS2, respectively, with comparison of the pararneter(0.500). Otherwise, using Gibbs sampling in the multivariate threshold animal models, these estimates did not significantly differ to the parameter. Residual correlations of marbling score to other traits were reduced with comparing the parameters when using REML algorithm with assuming linear and normal distribution. This would be due to loss of information and therefore, reduced variation on marbling score. As concluding, genetic variation of marbling would be well defined if liability concepts were adopted on marbling score and implemented threshold mixed model on genetic parameter estimation in Korean cattle.

Modeling and Validation of Population Dynamics of the American Serpentine Leafminer (Liriomyza trifolii) Using Leaf Surface Temperatures of Greenhouses Cherry Tomatoes (방울토마토에서 잎 표면온도를 적용한 아메리카잎굴파리(Liriomyza trifolii) 개체군 밀도변동 모형작성 및 평가)

  • Park, Jung-Joon;Mo, Hyoung-Ho;Lee, Doo-Hyung;Shin, Key-Il;Cho, Ki-Jong
    • Korean journal of applied entomology
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    • v.51 no.3
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    • pp.235-243
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    • 2012
  • Population dynamics of the American serpentine leafminer, Liriomyza trifolii (Burgess), were observed and modeled in order to compare the effects of air and tomato leaf temperatures inside a greenhouse using DYMEX model builder and simulator (pre-programed module based simulation programs developed by CSIRO, Australia). The DYMEX model simulator consisted of a series of modules with the parameters of temperature dependent development and oviposition models of L. trifolii were incorporated from pre-published data. Leaf surface temperatures of cherry tomato leaves (cv. 'Koko') were monitored according to three tomato plant positions (top, > 1.8 m above the ground level; middle, 0.9 - 1.2 m; bottom, 0.3 - 0.5 m) using an infrared temperature gun. Air temperature was monitored at the same three positions using a self-contained temperature logger. Data sets for the observed air temperature and average leaf surface temperatures were collected (top and bottom surfaces), and incorporated into the DYMEX simulator in order to compare the effects of air and leaf surface temperature on the population dynamics of L. trifolii. The initial population consisted of 50 eggs, which were laid by five female L. trifolii in early June. The number of L. trifolii larvae was counted by visual inspection of the tomato plants in order to verify the performance of DYMEX simulation. The egg, pupa, and adult stage of L. trifolii could not be counted due to its infeasible of visual inspection. A significant positive correlation between the observed and the predicted numbers of larvae was found when the leaf surface temperatures were incorporated into the DYMEX simulation (r = 0.97, p < 0.01), but no significant positive correlation was observed with air temperatures(r = 0.40, p = 0.18). This study demonstrated that the population dynamics of L. trifolii was affected greatly by the leaf temperatures, though to little discernible degree by the air temperatures, and thus the leaf surface temperature should be for a consideration in the management of L. trifolii within cherry tomato greenhouses.

A Study on Implementation and Applying Relationship Ontology System Using RDF/OWL Object Property (RDF/OWL의 객체속성을 이용한 관계온톨로지 시스템 구축과 활용에 관한 연구)

  • Kang, Hyen-Min
    • Journal of the Korean Society for information Management
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    • v.27 no.4
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    • pp.219-237
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    • 2010
  • This study proposes a 'Bibliographic Universe Relationship Vocabulary'(burv) using the RDF/OWL Object Property under the SPO predicate logic according to the relationship type among all entities of bibliographic universe and implemented a 'relationship ontology system' to establish a new cataloging business domain called 'Relationship Description Cataloging' based on the ontology.

A Study on the Application of the FRBR Model to Legislation (법령에 대한 FRBR 모형의 적용에 관한 연구)

  • Chang, In-Ho
    • Journal of Korean Library and Information Science Society
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    • v.45 no.4
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    • pp.365-390
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    • 2014
  • This study intend to find the application methods of the FRBR model about legislation by analyzing a law life cycle from the enactment to the amendment and abolition of legislation and the type of the change after abolition. The legislation is the work as an aggregate entity consisting legal provisions and each provision is also the work. They are in the Whole-to-Part relation. The legislation has a effect by being published in the official gazette, and the updated text or the translated text is not the official version. Even if the name of the legislation is changed, it is treated as the same entity when it is not abolished and the simple rectifying text expressed in the official gazette is also legally valid. The Libraries Act has been replaced by the Libraries Act(old version), the Libraries Promotion Act, the Libraries and Reading Promotion Act and the Libraries Act(new version) in the order named, and it can be bounded into a superwork. For these examples, we provided the application method of FRBR model and suggested the actual application cases regarding Work, Expression, Manifestation and Item which are in Group 1 of FRBR model for the Libraries Act.

Bivariate reliability models with multiple dynamic competing risks (다중 동적 Competing Risks 모형을 갖는 이변량 신뢰성 모형에 관한 연구)

  • Kim, Juyoung;Cha, Ji Hwan
    • Journal of the Korean Data and Information Science Society
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    • v.27 no.3
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    • pp.711-724
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    • 2016
  • Under variable complex operating environment, various factors can affect the lifetimes of systems. In this research, we study bivariate reliability models having multiple dynamic competing risks. As competing risks, in addition to the natural failure, we consider the increased stress caused by the failure of one component, external shocks, and the level of stress of the working environment at the same time. Considering two reliability models which take into account all of these competing risks, we derive bivariate life distributions. Furthermore, we compare these two models and also compare the distributions of maximum and minimum statistics in the two models.