• 제목/요약/키워드: genetic drift

검색결과 58건 처리시간 0.025초

Evolution of avian infectious bronchitis virus: Genetic drift and recombination

  • Lee, Chang-Won
    • 한국동물위생학회지
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    • 제25권1호
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    • pp.97-103
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    • 2002
  • Infectious bronchitis(IB) is a viral disease in which continued evolution of the virus is of paramount importance for annual endemics and epidemics in chickens. Since the isolation of IB viruses(IBVs) in the 1930s, over 50 serotypes or variants have been reported worldwide. Continuing evolution is most prominent in the suface glycoproteins of IBV but also occurs in other parts of the genome. This genetic variability results from accumulation of molecular changes that can occur by a number of different mechanisms including genetic drift (point mutations) and genetic shift(RNA recombination). GA98 is a new serotype of IBV identified recently in the United States. In this paper, the evolutionary trend of IBV will be discussed using GA98 serotype as a model.

수본(數本)의 양친수(兩親樹)에 의해 전파증식(傳播増殖)중에 있는 리기다소나무 집단(集團)의 유전적(遺傳的) 구조(構造) (Genetic Structure of Pinus rigida Mill. in an Expanding Population Originating from a Few Founder Trees)

  • 정민섭
    • 한국산림과학회지
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    • 제72권1호
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    • pp.16-26
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    • 1986
  • 처음 8본의 리기다소나무 양친수로부터 전파 증식된 리기다소나무 집단에 대한 유전변이를 AAT, GDH, LAP 등의 Allozyme에 의해 조사한 결과 다음과 같은 사실을 밝혀냈다. 표본으로 선정된 리기다소나무 집단은 산의 남쪽 낮은 지대에 처음 식재되었던 8본의 양친수로부터 종자가 무더기 무더기로 군데군데 colony를 형성하면서 동쪽, 서쪽, 북쪽으로 전파 증식되어 산지의 각 부분 부분마다 유전적으로 서로 밀접하게 관련된 소수의 가계군(家系群)을 형성하였다. 이러한 형태의 이주(移柱)와 colony 형성과정에서 부분적으로 Inbreeding과 Genetic Drift 현상이 심하게 진행되고 있는 것으로 추정되었으며, 그 결과 처음 리기다소나무 colony가 형성되었던 산의 남쪽지역과 나중에 colony가 형성되었던 북쪽 지역의 소집단 사이에 상당량의 유전자 빈도 차이가 확인되었다. Inbreeding과 Genetic Drift 현상에 의해 소수 유전자좌(座)에 유전자 고정 현상이 나타났으나 기타의 유전자좌(座)에서는 유전자 Recombination이 일어났다. Gene Recombination에 의한 이형접합체(異型接合體)의 형성과 이들의 자연도태 현상에 의해 유전적으로 서로 밀접하게 관련된 소수의 리기다소나무 집단에 있어서도 상당량의 유전적 다양성과 이형접합성(異型接合性)이 유지되고 있었다.

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Effects of infill walls on RC buildings under time history loading using genetic programming and neuro-fuzzy

  • Kose, M. Metin;Kayadelen, Cafer
    • Structural Engineering and Mechanics
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    • 제47권3호
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    • pp.401-419
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    • 2013
  • In this study, the efficiency of adaptive neuro-fuzzy inference system (ANFIS) and genetic expression programming (GEP) in predicting the effects of infill walls on base reactions and roof drift of reinforced concrete frames were investigated. Current standards generally consider weight and fundamental period of structures in predicting base reactions and roof drift of structures by neglecting numbers of floors, bays, shear walls and infilled bays. Number of stories, number of bays in x and y directions, ratio of shear wall areas to the floor area, ratio of bays with infilled walls to total number bays and existence of open story were selected as parameters in GEP and ANFIS modeling. GEP and ANFIS have been widely used as alternative approaches to model complex systems. The effects of these parameters on base reactions and roof drift of RC frames were studied using 3D finite element method on 216 building models. Results obtained from 3D FEM models were used to in training and testing ANFIS and GEP models. In ANFIS and GEP models, number of floors, number of bays, ratio of shear walls and ratio of infilled bays were selected as input parameters, and base reactions and roof drifts were selected as output parameters. Results showed that the ANFIS and GEP models are capable of accurately predicting the base reactions and roof drifts of RC frames used in the training and testing phase of the study. The GEP model results better prediction compared to ANFIS model.

A constrained minimization-based scheme against susceptibility of drift angle identification to parameters estimation error from measurements of one floor

  • Kangqian Xu;Akira Mita;Dawei Li;Songtao Xue;Xianzhi Li
    • Smart Structures and Systems
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    • 제33권2호
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    • pp.119-131
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    • 2024
  • Drift angle is a significant index for diagnosing post-event structures. A common way to estimate this drift response is by using modal parameters identified under natural excitations. Although the modal parameters of shear structures cannot be identified accurately in the real environment, the identification error has little impact on the estimation when measurements from several floors are used. However, the estimation accuracy falls dramatically when there is only one accelerometer. This paper describes the susceptibility of single sensor identification to modelling error and simulations that preliminarily verified this characteristic. To make a robust evaluation from measurements of one floor of shear structures based on imprecisely identified parameters, a novel scheme is devised to approximately correct the mode shapes with respect to fictitious frequencies generated with a genetic algorithm; in particular, the scheme uses constrained minimization to take both the mathematical aspect and the realistic aspect of the mode shapes into account. The algorithm was validated by using a full-scale shear building. The differences between single-sensor and multiple-sensor estimations were analyzed. It was found that, as the number of accelerometers decreases, the error rises due to insufficient data and becomes very high when there is only one sensor. Moreover, when measurements for only one floor are available, the proposed method yields more precise and appropriate mode shapes, leading to a better estimation on the drift angle of the lower floors compared with a method designed for multiple sensors. As well, it is shown that the reduction in space complexity is offset by increasing the computation complexity.

가스 식별 시스템 설계를 위한 유전알고리즘과 퍼지시스템 적용에 관한 연구 (A Study on the Application of Genetic Algorithms and Fuzzy System to GAS Identification System)

  • 방영근;조해파;이철희
    • 산업기술연구
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    • 제31권B호
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    • pp.45-50
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    • 2011
  • Recently, machine olfactory systems that have been proposed as an artificial substitute of the human olfactory system are being studied by many researchers because they can scent dangerous gases and identify the type of gases in contamination areas instead of the human. In this paper, we present an effective design method for the gas identification system. The design method adopted the sequential combination between genetic algorithms and TSK fuzzy logic system. First, the proposed method allowed the designed gas identification system effectively performing the pattern analysis because it was able to avoid the curse of dimensionality caused by use of a large number of sensors. Secondly, the method led the gas identification system to good performance because it was able to deal with drift characteristics of the sensor data by using description ability of the fuzzy system for nonlinear data. In simulation, we demonstrated the effectiveness of the designed gas identification system by using the simulation results of five types of gases.

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들쭉나무 격리잔존 2개 집단의 유전변이 (Genetic Variation of Two Isolated Relict Populations of Vaccinium uliginosum L. in Korea)

  • 한상돈;홍용표;권해연;양병훈;김찬수
    • 한국산림과학회지
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    • 제94권4호통권161호
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    • pp.209-213
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    • 2005
  • 희귀수종 들쭉나무(Vaccinium uliginosum L.)의 유전자원 보존을 위한 분자유전학적 정보를 제공하고자 한라산 및 설악산 정상부에 국소적으로 분포하고 있는 2개 집단을 대상으로 I-SSR 표지자 분석을 수행하였다. 증폭된 I-SSR 산물은 총 68개였고, 유전다양성은 한라산 집단이 0.539로 설악산 집단(0.401) 보다 높았으며, 동일한 표지자로 분석된 타 희귀수종에 비해 상대적으로 높은 유전적 다양성을 보였다. AMOVA 분석 결과 전체 유전변이 중 66.5%가 각 집단 내 개체 간에 공통적으로 존재하며, 33.5%는 집단간 유전적 차이에 기인하는 것으로 추정되어 분석된 두 집단 간에 매우 높은 유전적 분화가 관찰되었다. 지리적으로 격리된 이들 집단 간의 높은 유전적 이질성은 두 집단이 각각 별개의 조상집단으로부터 유래되었을 가능성과 빙하기 이후 급격한 환경변화와 지리적 격리 등으로 인해 각 집단이 유전적 부동과정을 거치며 유전적 이질성이 증가하였을 가능성 등에 의해 설명될 수 있을 것으로 생각된다.

THE APPLICATION OF STOCHASTIC DIFFERENTIAL EQUATIONS TO POPULATION GENETIC MODEL

  • Choi, Won;Choi, Dug-Hwan
    • 대한수학회보
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    • 제40권4호
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    • pp.677-683
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    • 2003
  • In multi-allelic model $X\;=\;(x_1,\;x_2,\;\cdots\;,\;x_d),\;M_f(t)\;=\;f(p(t))\;-\;{\int_0}^t\;Lf(p(t))ds$ is a P-martingale for diffusion operator L under the certain conditions. In this note, we examine the stochastic differential equation for model X and find the properties using stochastic differential equation.

Inbreeding and Genetic Diversity in Three Imported Swine Breeds in China Using Pedigree Data

  • Tang, G.Q.;Xue, J.;Lian, M.J.;Yang, R.F.;Liu, T.F.;Zeng, Z.Y.;Jiang, A.A.;Jiang, Y.Z.;Zhu, L.;Bai, L.;Wang, Z.;Li, X.W.
    • Asian-Australasian Journal of Animal Sciences
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    • 제26권6호
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    • pp.755-765
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    • 2013
  • The accumulation of inbreeding and the loss of genetic diversity is a potential problem in the modern swine breeds in China. Therefore, the purpose of this study was to analyze the pedigrees of Chinese Duroc (CD), Landrace (CL) and Yorkshire (CY) swine to estimate the past and current rates of inbreeding, and to identify the main causes of genetic diversity loss. Pedigree files from CD, CL and CY containing, 4529, 16,776 and 22,600 records, respectively, were analyzed. Pedigree completeness indexes of the three breeds, accounting for one generation back, were 83.72, 93.93 and 93.59%, respectively. The estimated average annual inbreeding rates for CD, CL and CY in recent three years were 0.21, 0.19 and 0.13%, respectively. The estimated average percentage of genetic diversity loss within each breed in recent three years was about 8.92, 2.19, and 3.36%, respectively. The average relative proportion of genetic diversity loss due to unequal contributions of founders in CD, CL and CY was 69.09, 57.95 and 60.57%, and due to random genetic drift was 30.91, 42.05 and 39.43%, respectively. The estimated current effective population size for CD, CL and CY was 76, 117 and 202, respectively. Therefore, CD has been found to have lost considerable genetic diversity, demanding priority for optimizing the selection and mating to control future coancestry and inbreeding. Unequal contribution of founders was a major cause of genetic diversity loss in Chinese swine breeds and random genetic drift also showed substantial impact on the loss of diversity.

Genetic algorithm based optimum design of non-linear steel frames with semi-rigid connections

  • Hayalioglu, M.S.;Degertekin, S.O.
    • Steel and Composite Structures
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    • 제4권6호
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    • pp.453-469
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    • 2004
  • In this article, a genetic algorithm based optimum design method is presented for non-linear steel frames with semi-rigid connections. The design algorithm obtains the minimum weight frame by selecting suitable sections from a standard set of steel sections such as European wide flange beams (i.e., HE sections). A genetic algorithm is employed as optimization method which utilizes reproduction, crossover and mutation operators. Displacement and stress constraints of Turkish Building Code for Steel Structures (TS 648, 1980) are imposed on the frame. The algorithm requires a large number of non-linear analyses of frames. The analyses cover both the non-linear behaviour of beam-to-column connection and $P-{\Delta}$ effects of beam-column members. The Frye and Morris polynomial model is used for modelling of semi-rigid connections. Two design examples with various type of connections are presented to demonstrate the application of the algorithm. The semi-rigid connection modelling results in more economical solutions than rigid connection modelling, but it increases frame drift.

퍼지관리제어기법을 이용한 스마트 면진 벤치마크 건물의 제어 (Control of Smart Base-isolated Benchmark Building using Fuzzy Supervisory Control)

  • 김현수
    • 한국지진공학회논문집
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    • 제9권4호
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    • pp.55-66
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    • 2005
  • 본 논문에서는 스마트 면진장치를 효과적으로 제어하기 위하여 퍼지관리제어기를 개발하였고 그 효율성을 검토하였다. 이를 위하여 1세대 스마트 면진 벤치마크 건물을 이용하여 수치해석을 수행하였다. 대상 벤치마크 구조물은 부정형의 평면을 가지고 있는 8층 건물이고 탄성베어링과 MR 감쇠기로 이루어진 스마트 면진장치가 설치되어 있다. 본 논문에서는 다목적 유전자 알고리즘을 이용하여 원거리 지진과 근거리 지진에 대하여 각각 면진구조물을 효과적으로 제어할 수 있는 하위 퍼지제어기를 개발한다. 최적화과정에서는 구조물의 최대 및 RMS 가속도와 면진층 변위의 저감이 목적으로 사용된다. 벤지마크 건물에 지진하중이 가해지면 두 개의 하위 퍼지제어기에서는 각각 다른 명령전압이 제공되는데 이 명령전압들은 퍼지관리제어기의 추론과정에 기반하여 실시간으로 참여율이 조절되어 하나의 명령전압으로 조합된다. 수치해석을 통하여 제안된 퍼지관리제어기법을 사용함으로써 상부구조물의 응답과 면진층의 변위를 효과적으로 줄일 수 있음을 확인할 수 있다.