• 제목/요약/키워드: Monte-Carlo Modeling

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몬테 카를로 복사 전달 행렬 방법을 사용한 산란 대기에서 동작하는 단거리 3차원 플래시 라이다 시스템의 수치적 모델링 (Numerical Modeling of a Short-range Three-dimensional Flash LIDAR System Operating in a Scattering Atmosphere Based on the Monte Carlo Radiative Transfer Matrix Method)

  • 안해찬;나정균;정윤찬
    • 한국광학회지
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    • 제31권2호
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    • pp.59-70
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    • 2020
  • 3차원 플래시 라이다 시스템(3D flash LIDAR system)에서의 대기 산란을 해석하기 위해 몬테 카를로 복사 전달(Monte Carlo radiative transfer, MCRT) 방법을 바탕으로 수정된 수치 해석 모델인 MCRT 행렬 방법을 논의한다. MCRT 방법을 바탕으로 라이다 신호의 복사 전달 함수를 행렬 형태로 구성하며, 이는 특성 응답에 해당한다. 근축 근사에 기반하여 본 특성 응답 행렬의 중첩 및 합성곱 연산을 활용함으로써 확장된 전반적인 플래시 라이다의 전산 모사 모델을 개발한다. MCRT 행렬 방법은 기존의 몬테 카를로 기반 방법들에서 과도하게 증가할 수 있는 개별 라이다 신호의 추적을 대폭 경감시킨다. 그 결과 본 방법은 다양한 산란 조건 및 라이다 시스템 구성 환경에서도 그 신호 응답을 빠르게 획득할 수 있는 특징을 지닌다. 본 논문에서는 MCRT 행렬 방법에 기반한 전산 모델을 이용하여 상이한 대기 환경 조건에서 동작하는 3차원 플래시 라이다 시스템을 그 산란 조건, 즉, 그 가시거리에 따른 산란 계수를 달리하며 모사하고, 플래시 라이다 신호의 신호대잡음비의 악화, 신호 오류, 시공간적 확산 및 시간 지연 등 시스템상에서의 산란 효과에 의해 나타나는 다양한 현상을 수치적으로 분석한다. MCRT 행렬 방법은 자율 주행을 위한 플래시 라이다 시스템을 포함해 다양한 라이다 시스템을 분석하는데 매우 효과적으로 사용될 수 있을 것으로 기대된다.

Dead Layer Thickness and Geometry Optimization of HPGe Detector Based on Monte Carlo Simulation

  • Suah Yu;Na Hye Kwon;Young Jae Jang;Byungchae Lee;Jihyun Yu;Dong-Wook Kim;Gyu-Seok Cho;Kum-Bae Kim;Geun Beom Kim;Cheol Ha Baek;Sang Hyoun Choi
    • 한국의학물리학회지:의학물리
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    • 제33권4호
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    • pp.129-135
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    • 2022
  • Purpose: A full-energy-peak (FEP) efficiency correction is required through a Monte Carlo simulation for accurate radioactivity measurement, considering the geometrical characteristics of the detector and the sample. However, a relative deviation (RD) occurs between the measurement and calculation efficiencies when modeling using the data provided by the manufacturers due to the randomly generated dead layer. This study aims to optimize the structure of the detector by determining the dead layer thickness based on Monte Carlo simulation. Methods: The high-purity germanium (HPGe) detector used in this study was a coaxial p-type GC2518 model, and a certified reference material (CRM) was used to measure the FEP efficiency. Using the MC N-Particle Transport Code (MCNP) code, the FEP efficiency was calculated by increasing the thickness of the outer and inner dead layer in proportion to the thickness of the electrode. Results: As the thickness of the outer and inner dead layer increased by 0.1 mm and 0.1 ㎛, the efficiency difference decreased by 2.43% on average up to 1.0 mm and 1.0 ㎛ and increased by 1.86% thereafter. Therefore, the structure of the detector was optimized by determining 1.0 mm and 1.0 ㎛ as thickness of the dead layer. Conclusions: The effect of the dead layer on the FEP efficiency was evaluated, and an excellent agreement between the measured and calculated efficiencies was confirmed with RDs of less than 4%. It suggests that the optimized HPGe detector can be used to measure the accurate radioactivity using in dismantling and disposing medical linear accelerators.

Bayesian Spatial Modeling of Precipitation Data

  • Heo, Tae-Young;Park, Man-Sik
    • 응용통계연구
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    • 제22권2호
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    • pp.425-433
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    • 2009
  • Spatial models suitable for describing the evolving random fields in climate and environmental systems have been developed by many researchers. In general, rainfall in South Korea is highly variable in intensity and amount across space. This study characterizes the monthly and regional variation of rainfall fields using the spatial modeling. The main objective of this research is spatial prediction with the Bayesian hierarchical modeling (kriging) in order to further our understanding of water resources over space. We use the Bayesian approach in order to estimate the parameters and produce more reliable prediction. The Bayesian kriging also provides a promising solution for analyzing and predicting rainfall data.

HOS를 이용한 통신 채널의 역 모델링에 관한 연구 (A study on the iverse modeling of communication channel by HOS)

  • 임성각;진용옥
    • 한국통신학회논문지
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    • 제21권5호
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    • pp.1274-1282
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    • 1996
  • This paper deals with an inverse modeling of nonminimum phase communication channel utilizing the HOS (High Order Statistics) of the received signal. After the communication channel is separated into the minimum phase and maximum phase components, the inverse modeling is performed independently. The performance superiority is confirmed by monte-carlo computer simulation in comparison with the traditional CMA (Constant Modulus Algorithm) method. By utilizing the proposed algorithm employing the HOS of the received signal, the inverse frequency characteristics of the channel can be obtained withoug transmitted signal in digital communication. This algorithm is required in preprocessing or postprocessing in order to remove the channel effect, and effective in the self adaptive equalizer which can minimize the bit error rate or symbol error rate in the recovry of received signal.

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A Bayesian joint model for continuous and zero-inflated count data in developmental toxicity studies

  • Hwang, Beom Seuk
    • Communications for Statistical Applications and Methods
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    • 제29권2호
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    • pp.239-250
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    • 2022
  • In many applications, we frequently encounter correlated multiple outcomes measured on the same subject. Joint modeling of such multiple outcomes can improve efficiency of inference compared to independent modeling. For instance, in developmental toxicity studies, fetal weight and number of malformed pups are measured on the pregnant dams exposed to different levels of a toxic substance, in which the association between such outcomes should be taken into account in the model. The number of malformations may possibly have many zeros, which should be analyzed via zero-inflated count models. Motivated by applications in developmental toxicity studies, we propose a Bayesian joint modeling framework for continuous and count outcomes with excess zeros. In our model, zero-inflated Poisson (ZIP) regression model would be used to describe count data, and a subject-specific random effects would account for the correlation across the two outcomes. We implement a Bayesian approach using MCMC procedure with data augmentation method and adaptive rejection sampling. We apply our proposed model to dose-response analysis in a developmental toxicity study to estimate the benchmark dose in a risk assessment.

공회전시 연소의 사이클 변화 모델링 및 확인실험 (Modeling and its Experimental Validation on Cycle Variability of Combustion at Idle Operation)

  • 조한승;황승환;이종화
    • 한국자동차공학회논문집
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    • 제4권2호
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    • pp.221-229
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    • 1996
  • The engine speed fluctuation at idle operation mainly comes from cyclic variation of combustion in SI engine. In the present study, engineering model that is representing the cyclic variation of combustion was proposed for the sub-model of the engine cycle simulation. From the observed behaviors of the mass burn rates, probability density functions for the parameters of Wiebe function were defined. The mass burn rate of each cycle is obtained by Monte Cralo perturbation method with the probability function. The simulation results shows that trends of cylinder pressure variation and imep distribution follow up with those of experimental results at idle condition.

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효과적인 중성자 차폐를 위한 경량 연자성 물질 활용방안 연구 (Study on the Application of Soft Magnetic Material for Effective Neutron Shielding)

  • 김영찬;강창우
    • 방사선산업학회지
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    • 제17권1호
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    • pp.93-100
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    • 2023
  • This study analyzes the neutron shielding performance of Soft Magnetic Material and proposes a military application. In general, the military protection facility has been constructed with thick concrete, so Soft Magnetic Material, consisting of boron, was used with concrete in this study. To do so, Monte-Carlo N-Particle (MCNP) was applied to simulate the Watt-fission neutron spectrum of 235U and 239Pu. As a result, a configuration of polyethylene and Soft Magnetic Material is evaluated about four times better than borated polyethylene concerning the atomic weight of boron inside each shielding material. Also, when a nuclear weapon explosion is simulated in MCNP, 1 mm of Soft Magnetic Material with 20 cm of concrete shows about 55% more additional neutron shielding performance compared to when Soft Magnetic Material is not used. In this work, the neutron shielding performance of Soft Magnetic Material could be identified and Soft Magnetic Material would be useful for neutron shielding if applicable to concrete structure.

Probabilistic seismic assessment of structures considering soil uncertainties

  • Hamidpour, Sara;Soltani, Masoud;Shabdin, Mojtaba
    • Earthquakes and Structures
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    • 제12권2호
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    • pp.165-175
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    • 2017
  • This paper studies soil properties uncertainty and its implementation in the seismic response evaluation of structures. For this, response sensitivity of two 4- and 12-story RC shear walls to the soil properties uncertainty by considering soil structure interaction (SSI) effects is investigated. Beam on Nonlinear Winkler Foundation (BNWF) model is used for shallow foundation modeling and the uncertainty of soil properties is expanded to the foundation stiffness and strength parameters variability. Monte Carlo (MC) simulation technique is employed for probabilistic evaluations. By investigating the probabilistic evaluation results it's observed that as the soil and foundation become stiffer, the soil uncertainty is found to be less important in influencing the response variability. On the other hand, the soil uncertainty becomes more important as the foundation-structure system is expected to experience nonlinear behavior to more sever degree. Since full This paper studies soil properties uncertainty and its implementation in the seismic response evaluation of structures. For this, response sensitivity of two 4- and 12-story RC shear walls to the soil properties uncertainty by considering soil structure interaction (SSI) effects is investigated. Beam on Nonlinear Winkler Foundation (BNWF) model is used for shallow foundation modeling and the uncertainty of soil properties is expanded to the foundation stiffness and strength parameters variability. Monte Carlo (MC) simulation technique is employed for probabilistic evaluations. By investigating the probabilistic evaluation results it's observed that as the soil and foundation become stiffer, the soil uncertainty is found to be less important in influencing the response variability. On the other hand, the soil uncertainty becomes more important as the foundation-structure system is expected to experience nonlinear behavior to more sever degree. Since full probabilistic analysis methods like MC commonly are very time consuming, the feasibility of simple approximate methods' application including First Order Second Moment (FOSM) method and ASCE41 proposed approach for the soil uncertainty considerations is investigated. By comparing the results of the approximate methods with the results obtained from MC, it's observed that the results of both FOSM and ASCE41 methods are in good agreement with the results of MC simulation technique and they show acceptable accuracy in predicting the response variability.

북한 4·5차 핵실험의 기술적 평가 (Technical Assessment of North Korea 4th and 5th Nuclear Test)

  • 이호찬;이상규;정관
    • 한국군사과학기술학회지
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    • 제20권3호
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    • pp.454-466
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    • 2017
  • North Korea intended to increase the power of its nuclear weapons and standardize warhead to be loaded in ballistic missiles through the $4^{th}$ and $5^{th}$ nuclear tests. In this study, three kinds of nuclear weapons that North Korea might have used in the $4^{th}$ and $5^{th}$ nuclear tests to achieve their technical goals were suggested. Monte Carlo modeling and various technical assessments have shown that boosted fission weapons are most likely to be used. Also, using the empirical formula considering the burial depth of explosion, we found that the yield of the $4^{th}$ and $5^{th}$ nuclear tests is at least twice as strong as that is expected it could be and the initial design power could reach 8kt before amplification. This means that North Korea has already achieved a substantial level of nuclear fusion technology through the $4^{th}$ test and has made a breakthrough in the miniaturization of nuclear weapons through the $5^{th}$ test. After two or three additional tests, North Korea is expected to have nuclear missiles equipped with nuclear warhead by 2020, which is expected to complete ballistic missile development.

카드뮴 반응용량 곡선에서의 기준용량 평가를 위한 베이지안 분석연구 (Bayesian Analysis of Dose-Effect Relationship of Cadmium for Benchmark Dose Evaluation)

  • 이민제;최태련;김정선;우해동
    • 응용통계연구
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    • 제26권3호
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    • pp.453-470
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    • 2013
  • 본 논문에서는 카드뮴의 반응-용량 모형에 대한 베이지안 분석을 실시하고 기준용량에 대한 추정값들을 유도하고 비교한다. 이를 위하여 독성물질에 대한 용량반응곡선에서 많이 활용되는 두 가지 모형을 사용하고, 카드뮴의 독성연구에 관련한 기존의 문헌으로 수집된 자료에 대한 성별, 연령, 인종, study code 등과 같은 소집단 간의 개별적 형질을 반영할 수 있는 베이지안 메타분석 관점에서의 모형분석을 실시한다. 이러한 두 가지 모형에 대한 베이지안 분석을 위하여 WinBUGS를 이용한 마르코프 연쇄 몬테칼로(Markov chain Monte Carlo; MCMC) 방법을 통하여 모수를 추정하고 이에 따른 다양한 기준용량들을 계산하고 비교해보았다. 베이지안 모형 적합뿐만 아니라 편차정보기준을 통해서 주어진 자료를 더 잘 설명하는 모형을 선택하는 베이지안 모형 선택을 고려하였고, 이를 실제 자료에 적용해본다.