• 제목/요약/키워드: Population models

검색결과 941건 처리시간 0.028초

NEAR-EARTH OBJECT SURVEY SIMULATIONS WITH A REVISED POPULATION MODEL

  • Moon, Hong-Kyu;Byun, Yong-Ik;Yim, Hong-Suh;Raymond, Sean N.
    • 천문학회지
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    • 제41권1호
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    • pp.7-15
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    • 2008
  • We carried out a set of simulations to reproduce the performance of wide-field NEO surveys based on the revised population model of Near Earth Objects (NEOs) constructed by Morbidelli (2006). This is the first time where the new model is carefully compared with discovery statistics, and with the exception of population model, the simulation is identical to the procedure described in Moon et al. (2008). Our simulations show rather large discrepancy between the number of NEO discoveries made by the actual and the simulated surveys. First of all, unlike Bottke et al. (2002)'s, Morbidelli (2006)'s population model overestimates the number of NEOs. However, the latter reproduces orbit distributions of the actual population better. Our analysis suggests that both models significantly underestimate Amors, while overestimating the number of Apollos. Our simulation result implies that substantial modifications of both models are needed for more accurate reproduction of survey observations. We also identify Hungaria region (HU) to be one of the most convincing candidates that supply a large fraction of asteroids to the inner Solar System.

가상환경상의 인간공학적 제품설계를 위한 인체모델군 생성기법 개발 및 적용 (Development and Application of a Generation Method of Human Models for Ergonomic Product Design in Virtual Environment)

  • 류태범;정인준;유희천;김광재
    • 산업공학
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    • 제16권spc호
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    • pp.144-148
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    • 2003
  • A group of digital human models with various sizes which properly represents a population under consideration is needed in the design process of an ergonomic product in virtual environment. The present study proposes a two-step method which produces a representative group of human models in terms of stature and weight. The proposed method first generates a designated number of pairs of stature and weight within an accommodation range from the bivariate normal distribution of stature and weight of the target population. Then, from each pair of stature and weight, the method determines the sizes of body segments by using 'hierarchical' regression models and corresponding prediction distributions of individual values. The suggested method was applied to the 1988 US Army anthropometric survey data and implemented to a web-based system which generates a representative group of human models for the following parameters: nationality, gender, accommodation percentage, and number of human models.

한국항만도시의 입지, 인구성장과 화물집중도연구 (A Study on the Location, Population Growth, and Cargo Concentration of Korean Port-Cities)

  • 박노경
    • 한국항만경제학회지
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    • 제17권2호
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    • pp.61-87
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    • 2001
  • The purpose of this paper is to analyze the location, population growth. and cargo concentration of Korean port-cities. In the location theory, Sommer (1976) and McGee (1967) models are newly introduced, as are the Rimmer (1967), Bird (1965), Hoyle (1981) models. which were already introduced in previous studies from Korea. Analysis of population growth in the Korean port-cities is conducted using data from 1966 to 1998. Rimmer and Hoyle's concentration models are used to measure cargo concentration from 1966 to 2000. The main results of this paper are as follows: First, Korean ports are concentrated on the East Sea, the Southern Sea, and the West Sea. Their locations are closely related with the hinterland. the inland city, and growth of port-cities. In considering the foreign countrys' cases, Korean port-cities are similar to the models of Bird and Hoyle. Second, the populations of Ulsan and Pohang grew at the fastest rate in 1966-1998, while the port cities in the Honam and Jeiu region grew at much lower ratios. Most port cities are located near large industrial complexes. Third the growth rates of Gwangyang, Daesan, Pohang, Pyungtaeg, and Samchunpo increased, while those of Busan. Mukho, Masan, Mogpo, Yeosu, and Sokcho declined. Of particular note, the growth rate of Busan remained negative after the late 1980s. Fourth. empirical results using the Rimmer (1967) model indicate that Gwangyang, Daesan, Pyungtag, and Pohang have shown the concentration. But the deconcentration was shown from the Busan, Mukho, Janghang, Gunsan, Mogpo, Yeosu, Masan, Sokcho. and Jeju. Fifth, the concentration of ports located in West coast region has shown the mixed results between concentration and deconcentration except the concentration of early 1970s and 1990s. The concentration of ports located in East coast region has shown the concentration before the middle of 1980s. And deconcentration after the middle of 1980s have appeared. The Southern coast region has shown the continuous deconcentration except the partial concentration of early 1986. and 1991. Planners of Korean ports should find out the factors of concentration and deconcentration of each ports and should determine factors such as investment priority level. size and scope in order to ensure the balanced development of regional ports and port-cities.

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심층 생성모델 기반 합성인구 생성 성능 향상을 위한 개체 임베딩 분석연구 (Entity Embeddings for Enhancing Feasible and Diverse Population Synthesis in a Deep Generative Models)

  • 권동현;오태호;유승모;강희찬
    • 한국ITS학회 논문지
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    • 제22권6호
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    • pp.17-31
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    • 2023
  • 활동기반 모델은 현대의 복잡한 개인의 통행행태를 반영한 정교한 기반의 수요예측이 가능하지만, 분석 대상지의 상세한 인구정보가 필수적으로 요구된다. 최근 다양한 심층생성 모델을 활용한 합성인구 생성 기법이 개발되었고, 설문조사를 통해 수집된 샘플 데이터에 존재하지 않는 실제 인구와 유사한 인구 특성을 모사한 데이터를 생성해내는 방법론이 제시되었다. 이는 이산형으로 이루어진 샘플 데이터를 연속형 데이터로 변환하여 분포 영역을 정의한 뒤 생성된 표본 데이터의 거리를 정교하게 계산하여, 불가능한 인구 특성 조합을 억제하는 방식으로 데이터의 확률 분포를 학습한다. 하지만 데이터 변환 과정에 활용되는 개체 임베딩이 잘 학습되지 않으면 의도와 다르게 왜곡된 연속형 분포 영역이 정의될 수 있고, 원본 데이터 표현의 오류로 인한 잘못된 합성인구를 생성할 가능성이 존재한다. 따라서 본 연구에서는 정확도 높은 임베딩을 추출하여 간접적으로 합성인구 생성 성능을 증가시키고자 한다. 결과적으로 합성인구의 다양성과 정확성 측면에서 기존 대비 약 28.87% 성능이 향상하였다.

Study on Theoretical Models of Regional Humanity Lung Cancer Hazards Assessment

  • Zhang, Chuan;Gao, Xing
    • Asian Pacific Journal of Cancer Prevention
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    • 제16권5호
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    • pp.1759-1764
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    • 2015
  • Purpose: To establish the concept of lung cancer hazard assessment theoretical models, evaluating the degree of lung cancer risk of Beijing for regional population lung cancer hazard assessment to provide a basis for technical support. Materials and Methods: ISO standards were used to classify stratified analysis for the entire population, life cycle, processes and socioeconomic management. Associated risk factors were evaluated as lung cancer hazard risk assessment first class indicators. Study design: Using the above materials, indicators were given the weight coefficients, building lung cancer risk assessment theoretical models. Regional data for Beijing were entered into the theoretical model to calculate the parameters of each indicator and evaluate the degree of local lung cancer risk. Results: Adopting the concept of lung cancer hazard assessment and theoretical models for regional populations, we established a lung cancer hazard risk assessment system, including 2 first indicators, 8 secondary indicators and 18 third indicators. All indicators were given weight coefficients and used as information sources. Score of hazard for lung cancer was 84.4 in Beijing. Conclusions: Comprehensively and systematically building a lung cancer risk assessment theoretical model for regional populations in conceivable, evaluating the degree of lung cancer risk of Beijing, providing technical support and scientific basis for interventions for prevention.

Autoregressive Cholesky Factor Modeling for Marginalized Random Effects Models

  • Lee, Keunbaik;Sung, Sunah
    • Communications for Statistical Applications and Methods
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    • 제21권2호
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    • pp.169-181
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    • 2014
  • Marginalized random effects models (MREM) are commonly used to analyze longitudinal categorical data when the population-averaged effects is of interest. In these models, random effects are used to explain both subject and time variations. The estimation of the random effects covariance matrix is not simple in MREM because of the high dimension and the positive definiteness. A relatively simple structure for the correlation is assumed such as a homogeneous AR(1) structure; however, it is too strong of an assumption. In consequence, the estimates of the fixed effects can be biased. To avoid this problem, we introduce one approach to explain a heterogenous random effects covariance matrix using a modified Cholesky decomposition. The approach results in parameters that can be easily modeled without concern that the resulting estimator will not be positive definite. The interpretation of the parameters is sensible. We analyze metabolic syndrome data from a Korean Genomic Epidemiology Study using this method.

人口過程의 分析과 人口配置計劃의 모델模索 (A Study on the Analysis of Population Dynamics and the Model of population Relocation)

  • 박찬계;함종욱
    • Journal of the Korean Statistical Society
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    • 제10권
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    • pp.145-157
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    • 1981
  • Regional relocation of population in Korea is required strongly from natural and environmental sides for substantial growth of economy and the rigorous revival national economy against especially internationalization. This paper aimed for analysed the population distribution by regional and special characteristics of the inter-migration and showed the direction of population policy through the model building. Relocation methods of population by region has been examined through the process from the approach method by Haurin's production function to the approach by the utility function. The examination of the development model is done efficiently, how utility these approach models are depends on that scientific and composite plan for population problems against forced policy should be taken precedence.

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Population Pharmacokinetic Characteristics of Levosulpiride and Terbinafine in Healthy Male Korean Volunteers

  • Lee, Yong-Bok
    • 대한약학회:학술대회논문집
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    • 대한약학회 2003년도 Proceedings of the Convention of the Pharmaceutical Society of Korea Vol.1
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    • pp.84-87
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    • 2003
  • The purposes of this study were to evaluate the population pharmacokinetics of levosulpiride and terbinafine according to several pharmacokinetic models and to investigate the influence of characteristics of subjects such as age, body weight, height and serum creatinine concentration on the pharmacokinetic parameters of levosulpiride and terbinafine, respectively. (omitted)

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Lattice Boltzmann 방법을 사용한 자연대류 해석에서 열모델의 선택에 관한 연구 (A STUDY ON THE CHOICE OF THERMAL MODELS IN THE COMPUTATION OF NATURAL CONVECTION WITH THE LATTICE BOLTZMANN METHOD)

  • 최석기;김성오
    • 한국전산유체공학회지
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    • 제16권4호
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    • pp.7-13
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    • 2011
  • A comparative analysis of thermal models in the lattice Boltzmann method(LBM) for the simulation of laminar natural convection in a square cavity is presented. A HYBRID method, in which the thermal equation is solved by the Navier-Stokes equation method while the mass and momentum conservation are resolved by the lattice Boltzmann method, is introduced and its merits are explained. All the governing equations are discretized on a cell-centered, non-uniform grid using the finite-volume method. The convection terms are treated by a second-order central-difference scheme with a deferred correction method to ensure stability of the solutions. The HYBRID method and the double-population method are applied to the simulation of natural convection in a square cavity and the predicted results are compared with the benchmark solutions given in the literatures. The predicted results are also compared with those by the conventional Navier-Stokes equation method. In general, the present HYBRID method is as accurate as the Navier-Stokes equation method and the double-population method. The HYBRID method shows better convergence and stability than the double-population method. These observations indicate that this HYBRID method is an efficient and economic method for the simulation of incompressible fluid flow and heat transfer problem with the LBM.

노출평가 방법론에 대한 과거와 현재, 그리고 미래 (Review of Exposure Assessment Methodology for Future Directions)

  • 곽수영;이기영
    • 한국환경보건학회지
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    • 제48권3호
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    • pp.131-137
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    • 2022
  • Public interest has been increasing the focus on the management of exposure to pollutants and the related health effects. This study reviewed exposure assessment methodologies and addressed future directions. Exposure can be assessed by direct (exposure monitoring) or indirect approaches (exposure modelling). Exposure modelling is a cost-effective tool to assess exposure among individuals, but direct personal monitoring provides more accurate exposure data. There are several population exposure models: stochastic human exposure and dose simulation (SHEDS), air pollutants exposure (APEX), and air pollution exposure distributions within adult urban population in Europe (EXPOLIS). A South Korean population exposure model is needed since the resolution of ambient concentrations and time-activity patterns are country specific. Population exposure models could be useful to find the association between exposure to pollutants and adverse health effects in epidemiologic studies. With the advancement of sensor technology and the internet of things (IoT), exposure assessment could be applied in a real-time surveillance system. In the future, environmental health services will be useful to protect and promote human health from exposure to pollutants.