• 제목/요약/키워드: critical population size

검색결과 46건 처리시간 0.031초

마이크로데이터 제공에 따른 임계모집단 크기 결정 (The Decision of Critical Population Size for Releasing Micro Data Files)

  • 남궁 평;소정현
    • Communications for Statistical Applications and Methods
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    • 제17권6호
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    • pp.791-801
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    • 2010
  • 마이크로데이터 제공시 발생될 수 있는 노출(disclosure)과 노출위험을 나타내는데 사용되는 측도인 유일성(uniqueness) 그리고 모집단 유일성의 개수를 추정하기 위한 초모집단 모형으로 Multinomial-Dirichlet 모형, Takemura의 Poisson-Gamma 모형, Modified Multinomial-Dirichlet 모형, Bethlehem의 Poisson-Gamma 모형을 다룬다. 이 4개의 모형에 대해 마이크로데이터 제공에 따른 임계모집단 크기(critical population size)를 결정한다.

산림 생태계에서 소척추동물 군집과 잔목의 관계 (Relationships between Small Mammal Community and Coarse Woody Debris in Forest Ecosystem)

  • 이상돈
    • The Korean Journal of Ecology
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    • 제20권4호
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    • pp.251-258
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    • 1997
  • Few attempts have been made to discover the ecological function of coarse woody debris (CWD) despite its importance to small mammal population. Twenty-five pitfall traps and a hundred live traps were placed in three sites with high amounts of CWD and three sites with low amounts of CWD. Eleven species were caught, and Peromyscus maniculatus was the most abundant (45.6%, n=605). Among 11 speices, abundance of Tamias townsendii and Clethronomys gapperi were higher in sites with high amounts of CWD than in sites with low amounts of CWD. Home range size was larger in breeding season than in non-breeding season indicating mating search. Resident time of Peromyscus maniculatus was longer in sites with high amounts of CWD implying better stability in population. The increasing amount of coarse woody debris (CWD) enhanced the habitat use by small mammals, and animals in high amounts of CWD were more abundant and stable in population fluctuation. This study, therefore, concludes that CWD is a critical habitat element for small mammals in forest ecosystem.

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비선호 시설의 인구분포 관련 입지기준 평가를 위한 GIS-기반 방법론 연구 -원자력 발전소의 경우- (GIS-Based Methods to Assess the Population Distribution Criteria for Undesirable Facilities: The Case of Nuclear Power Plants)

  • 이상일;조대헌
    • 대한지리학회지
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    • 제47권5호
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    • pp.755-774
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    • 2012
  • 본 논문의 주된 연구목적은 비선호 시설, 특히 원자력 발전소의 인구분포 관련 입지기준 평가를 위한 GIS-기반 방법론을 제안하는 것이다. 이 연구목적을 달성하기 위해 우선 IAEA, 미국의 NRC, 그리고 한국원자력안전기술원이 제시하고 있는 입지기준을 살펴보았다. 그 결과 원자력 발전소에 가장 가까이에 위치한 인구중심지까지의 거리를 최대화하는 것이 가장 중요한 입지 평가 원리임이 확인되었다. 이 원리를 실행하기 위한 GIS-기반 방법론은 서로 연관된 두 가지 하위 과제를 수행해야 하는 것으로 판단되었는데, 하나는 인구분포에 대한 정밀한 재현이고, 또 다른 하나는 인구중심지의 확인이다. 본 연구는 전자에 대해서는 대시메트릭 에어리얼 인터폴레이션 기법을, 후자에 대해서는 셀-기반 임계밀도 기법과 구역-기반 임계밀도 기법을 제시한다. 대시메트릭 에어리얼 인터폴레이션을 통해 다양한 공간해상도를 갖는 그리드 셀 단위의 인구밀도 분포의 재현이 이루어진다. 이것에 두 가지 인구중심지 확인 기법을 적용함으로써 특정한 임계밀도와 인구 규모 기준을 만족하는 인구중심지가 확인된다. 이 기법들을 우리나라 고리 원전 1호기의 사례에 적용하여 그 유용성과 한계를 평가하였다. 그 결과 적용된 기법과 투입된 파라미터 값에 따라 입지기준 평가의 결과가 달라질 수 있음이 드러났다. 본 연구는 지리공간분석 및 모델링 분야에서 개발된 기법을 입지 결정과 평가에 적용하는 시도의 활성화에 기여할 것으로 기대된다.

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베이지안 분위회귀모형을 이용한 지역인구에 영향을 미치는 요인분석 (Factors affecting regional population of Korea using Bayesian quantile regression)

  • 김민영;오만숙
    • 응용통계연구
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    • 제34권5호
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    • pp.823-835
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    • 2021
  • 지역별 인구의 분포에 영향을 미치는 요인의 파악은 국가의 사회, 경제, 문화적 발전 위한 정부의 인구정책 수립에 매우 중요하다. 본 연구에서는 2019년 인구주택 총조사 자료를 기반으로 대한민국 국토를 서울, 대도시, 기타지역의 세 지역으로 나누어 각 지역에서 소지역의 인구 크기에 영향을 미치는 요인들을 살펴 보았다. 인구 자료의 특징은 매우 비대칭적이며 이분산성을 가지므로 조건부 평균에 초점을 맞추는 일반적인 회귀모형 대신 분포에 대한 가정이 필요하지 않은 분위회귀모형을 사용하여 인구의 크기에 따라 변화하는 각 요인의 세부적인 영향을 살펴보았다. 분석결과 서울, 대도시, 기타지역에 따라 그리고 같은 지역 내에서도 세부 지역의 인구크기에 따라 요인의 영향이 매우 달라짐을 확인하였다. 이 결과들은 인구관련 변수들이 지역 마다 매우 이질적인 성질을 가지고 있으며 따라서 획일적인 인구정책이 아닌 지역 특성에 맞는 맞춤형 인구정책을 수립해야 할 필요성을 시사한다.

Genetic diversity evolution in the Mexican Charolais cattle population

  • Rios-Utrera, Angel;Montano-Bermudez, Moises;Vega-Murillo, Vicente Eliezer;Martinez-Velazquez, Guillermo;Baeza-Rodriguez, Juan Jose;Roman-Ponce, Sergio Ivan
    • Animal Bioscience
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    • 제34권7호
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    • pp.1116-1122
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    • 2021
  • Objective: The aim was to characterize the genetic diversity evolution of the registered Mexican Charolais cattle population by pedigree analysis. Methods: Data consisted of 331,390 pedigree records of animals born from 1934 to 2018. Average complete generation equivalent, generation interval, effective population size (Ne), and effective numbers of founders (fe), ancestors (fa), and founder genomes (Ng) were calculated for seven five-year periods. The inbreeding coefficient was calculated per year of birth, from 1984 to 2018, whereas the gene contribution of the most influential ancestors was calculated for the latter period. Results: Average complete generation equivalent consistently increased across periods, from 4.76, for the first period (1984 through 1988), to 7.86, for the last period (2014 through 2018). The inbreeding coefficient showed a relative steadiness across the last seventeen years, oscillating from 0.0110 to 0.0145. During the last period, the average generation interval for the father-offspring pathways was nearly 1 yr. longer than that of the mother-offspring pathways. The effective population size increased steadily since 1984 (105.0) and until 2013 (237.1), but showed a minor decline from 2013 to 2018 (233.2). The population displayed an increase in the fa since 1984 and until 2008; however, showed a small decrease during the last decade. The effective number of founder genomes increased from 1984 to 2003, but revealed loss of genetic variability during the last fifteen years (from 136.4 to 127.7). The fa:fe ratio suggests that the genetic diversity loss was partially caused by formation of genetic bottlenecks in the pedigree; in addition, the Ng:fa ratio indicates loss of founder alleles due to genetic drift. The most influential ancestor explained 1.8% of the total genetic variability in the progeny born from 2014 to 2018. Conclusion: Inbreeding, Ne, fa, and Ng are rather beyond critical levels; therefore, the current genetic status of the population is not at risk.

Genetic Algorithm을 이용한 상수관망의 최적설계: (II) -민감도 분석을 중심으로- (Optimal Design of Water Distribution Networks using the Genetic Algorithms:(II) -Sensitivity Analysis-)

  • 신현곤;박희경
    • 상하수도학회지
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    • 제12권2호
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    • pp.50-58
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    • 1998
  • Genetic Algorithm (GA) consists of selection, reproduction, crossover and mutation processes and many parameters including population size, generation number, the probability of crossover (Pc) and the probability of mutation (Pm). Determining values of the parameters is found critical in the whole optimization process and a sensitivity analysis with them seems mandatory. This paper tries to demonstrate such importance of sensitivity analysis of GA using an example water supply tunnel network of the New York City. For optimization of the network with GA, Pc and Pm vary from 0.5 to 0.9 by an increment of 0.1 and from 0.01 to 0.05 by an increment of 0.01, respectively, while fixing both the population size and the generation number to 100. This sensitivity analysis results in an optimum design of 22.3879 million dollars at the values of 0.8 and 0.01 for Pc and Pm, respectively. In addition, the probability of recombination (Pr) is introduced to check its applicability in the GA optimization of water distribution network. When Pr is 0.05 with the same values of Pc and Pm as above, the optimum design costs 20.9077 million dollars. This is lower than the cost of 22.3879 million dollars for the case of not using Pr by 6.6%. These results indicate that conducting a sensitivity analysis with parameter values and using Pr are useful in the optimization of WDN.

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새만금간척지 신농촌마을 계획수립연구 (A Study on New Village Planning in the Farming Zone of Saemangeum Reclaimed Area)

  • 심환휘;최수명;조중현
    • 농촌계획
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    • 제17권4호
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    • pp.61-74
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    • 2011
  • Based on the critical review of previous new village planning proposals in Saemangeum Farming Zone, this study tried to derive rational and realistic planning/design criteria for new villages firstly through home-and-abroad case studies analysis, interview works on farmers in two villages located in the existing reclaimed farming areas and influential zone analysis from neighborhood villages in old land. By applying these criteria(population structure, farming size, maximum distance between farmland and home, village site size, number of new villages planned) on Saemangeum Farming Zone, basic new village planning framework was proposed finally.

Sample Size and Statistical Power Calculation in Genetic Association Studies

  • Hong, Eun-Pyo;Park, Ji-Wan
    • Genomics & Informatics
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    • 제10권2호
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    • pp.117-122
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    • 2012
  • A sample size with sufficient statistical power is critical to the success of genetic association studies to detect causal genes of human complex diseases. Genome-wide association studies require much larger sample sizes to achieve an adequate statistical power. We estimated the statistical power with increasing numbers of markers analyzed and compared the sample sizes that were required in case-control studies and case-parent studies. We computed the effective sample size and statistical power using Genetic Power Calculator. An analysis using a larger number of markers requires a larger sample size. Testing a single-nucleotide polymorphism (SNP) marker requires 248 cases, while testing 500,000 SNPs and 1 million markers requires 1,206 cases and 1,255 cases, respectively, under the assumption of an odds ratio of 2, 5% disease prevalence, 5% minor allele frequency, complete linkage disequilibrium (LD), 1:1 case/control ratio, and a 5% error rate in an allelic test. Under a dominant model, a smaller sample size is required to achieve 80% power than other genetic models. We found that a much lower sample size was required with a strong effect size, common SNP, and increased LD. In addition, studying a common disease in a case-control study of a 1:4 case-control ratio is one way to achieve higher statistical power. We also found that case-parent studies require more samples than case-control studies. Although we have not covered all plausible cases in study design, the estimates of sample size and statistical power computed under various assumptions in this study may be useful to determine the sample size in designing a population-based genetic association study.

Evaluation of thermal stability of quasi-isotropic composite/polymeric cylindrical structures under extreme climatic conditions

  • Gadalla, Mohamed;El Kadi, Hany
    • Structural Engineering and Mechanics
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    • 제32권3호
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    • pp.429-445
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    • 2009
  • Thermal stability of quasi-isotropic composite and polymeric structures is considered one of the most important criteria in predicting life span of building structures. The outdoor applications of these structures have raised some legitimate concerns about their durability including moisture resistance and thermal stability. Exposure of such quasi-isotropic composite/polymeric structures to various and severe climatic conditions such as heat flux and frigid climate would change the material behavior and thermal viability and may lead to the degradation of material properties and building durability. This paper presents an analytical model for the generalized problem. This model accommodates the non-linearity and the non-homogeneity of the internal heat generated within the structure and the changes, modification to the material constants, and the structural size. The paper also investigates the effect of the incorporation of the temperature and/or material constant sensitive internal heat generation with four encountered climatic conditions on thermal stability of infinite cylindrical quasi-isotropic composite/polymeric structures. This can eventually result in the failure of such structures. Detailed critical analyses for four case studies which consider the population of the internal heat generation, cylindrical size, material constants, and four different climatic conditions are carried out. For each case of the proposed boundary conditions, the critical thermal stability parameter is determined. The results of this paper indicate that the thermal stability parameter is critically dependent on the cylinder size, material constants/selection, the convective heat transfer coefficient, subjected heat flux and other constants accrued from the structure environment.

감귤원에서 가을철 귤응애 성충의 공간분포와 표본조사 (Spatial Dispersion and Sampling of Adults of Citrus Red Mite, Panonychus citri(McGregor) (Acari: Tetranychidae) in Citrus Orchard in Autumn Season)

  • 송정흡;김수남;류기중
    • 한국응용곤충학회지
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    • 제42권1호
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    • pp.29-34
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    • 2003
  • 귤응애 성충의 표본추출법을 개발하기 위하여 2개년(2001-2002년)동안 8월부터 11월까지 잎과 열매에 대해 각 조사일에 평균밀도를 조사하였다. 잎과 열매에서 귤응애 성충 밀도의 관계를 시기별로 비교하였으며, Taylor's power law (TPL)와 Iwao's patchiness regression (IPR)을 이용하여 분산지수를 비교하였다. 잎(X)과 열매(Y)에서 귤응애 성충 밀도의 관계는 ln(Y+l)=1.029 ln(X+l)($r^2$=0.80)의 직선적인 관계가 있었으며, 열매가 성숙될수록 잎보다 열매에서 귤응애 밀도가 높아지는 경향이었다. 잎과 열매의 표본조사에서 TPL이 IPR보다 평균-분산 관계를 더 잘 나타내었으며, TPL의 기울기와 절편은 두 표본단위간, 연도간에 차이가 없었다. 정착도 0.25일 때 요방제밀도 2.0, 2.5와 3.0에서의 의사결정을 위한 표본추출조사법을 개발하였으며, 조사에 필요한 최대조사나무수(고정표본크기에서 필요 나무수)는 각각 19, 16과 15주였으며, 이 때의 의사결정임 계값 $T_{critical}$은 각각 554,609와 659였다.,609와 659였다.