• 제목/요약/키워드: Monte-Carlo simulation

검색결과 2,920건 처리시간 0.036초

납 취급 근로자의 Monte-Carlo simulation을 이용한 노출 및 건강위해성평가 (Exposure and Health Risk Assessment of Lead Workers using Monte-Carlo Simulation)

  • 염정호;권근상;이주형;정주원
    • 한국산업보건학회지
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    • 제16권2호
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    • pp.110-122
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    • 2006
  • Objective : This study was conducted to quantify chronic lead exposure from various media(ie. working environment, food, ambient air), and to certify the usefulness of exposure assessment using Monte-Carlo simulation in the fields of occupational health. Methods : Data were obtained from Korean Industrial Health Association, Korea Food and Drug Administration, and the Ministry of Environment. Then lead worker's exposure was estimated indirectly from various media and parameters (ie. volume inhaled, body weight, dietary intake, etc.). Uncertainty was analyzed by Monte Carlo simulation with Crystal Ball software. Exposure doses and hazard indices were simulated with various hypothetical scenarios including weekly working hours and respiratory protective equipment. Results : Without respiratory protective equipment, the total exposure dose per kilogram of body weight of lead workers was estimated as $5.45{\times}10^{-3}mg/kg/day$, and hazard index was estimated as 2.26, and exposure contributions were calculated as follows : working environment(82.42 %); foods(17.57 %); and ambient air(0.01 %). But, if working condition has changed - reduction of working hours and using respiratory protective equipment, the total exposure dose per kilogram of body weight was estimated between $1.34{\times}10^{-3}-1.49{\times}10^{-3}mg/kg/day$, and hazard index was estimated between 0.56 - 0.62. Conclusions : This study suggested that occurrence of hazardous impact(ie. increased blood pressure) through lifetime lead exposure would be expected, and that the Monte-Carlo simulation was useful for the fields of occupational health.

영·유아의 입사피부선량 측정을 위한 몬테카를로 시뮬레이션 (Monte Carlo Simulation for the Measurement of Entrance Skin Dose on Newborn and Infants)

  • 김상태
    • 한국콘텐츠학회논문지
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    • 제12권6호
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    • pp.346-352
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    • 2012
  • 성인과 달리 영 유아에게 행해지는 방사선 검사 시 투여되는 방사선량의 평가는 활발하게 이루어지지 않고 있다. 따라서 영 유아의 방사선 검사 시 피폭되는 정도를 나타내는 지표로서 입사피부선량을 측정하고 Geant4를 이용한 몬테카를로 시뮬레이션을 통한 결과값을 비교하여 입사피부선량 측정의 재현성을 높이고 다양한 지오메트리 구현의 가능성을 증명하였다. 몬테카를로 시뮬레이션 결과값은 입사피부선량을 선량보정을 위한 정규인자를 통해 추정하였고 단위 X선 조사영역크기로 표준화한 결과 영 유아에게 있어 일회의 방사선 촬영 당 평균 입사피부선량은 $78.41{\mu}Gy$ 였으며 선량계를 통한 측정값과 몬테카를로 시뮬레이션값의 백분율 오차는 최대 -4.77%로 나타났다. 몬테카를로 시뮬레이션을 통한 입사피부선량 평가 방법은 의료기관에서 실제 진단을 위해 내원한 환아를 대상으로 한 입사피부선량 평가의 어려움을 대체할만한 수단으로서의 가능성을 보여준다.

국내은행 스트레스테스트 모형개선에 관한 연구: 최적 몬테카를로 시뮬레이션 탐색과 BIS예측을 중심으로 (A Study on the Development of Stress Testing Model for Korean Banks: Optimal Design of Monte Carlo Simulation and BIS Forecasting)

  • 원재환;양진열
    • 아태비즈니스연구
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    • 제14권1호
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    • pp.149-169
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    • 2023
  • Purpose - The main purpose of this study is to develop the stress test model for Korean banks by exploring the optimal Monte Carlo simulation and BIS forecasting model. Design/methodology/approach - This study selects 15 Korean banks as sample financial firms and collects relevant 76 quarterly data for the period between year 2000 and 2018 from KRX(Korea Excange), Bank of Korea, and FnGuide. The Regression analysis, Unit-root test, and Monte Carlo simulation are hired to analyze the data. Findings - First, most of the sample banks failed to keep 8% BIS ratio for the adverse and severely Adverse Scenarios, implying that Korean banks must make every effort to realize better BIS ratios under adverse market conditions. Second, we suggest the better Monte Carlo simulation model for the Korean banks by finding that the more appropriate volatility should be different depending on variables rather than simple two-sigma which has been used in the previous studies. Third, we find that the stepwise regression model is better fitted than simple regression model in forecasting macro-economic variables for the BIS variables. Fourth, we find that, for the more robust and significant statistical results in designing stress tests, Korean banks are required to construct more valid time-series and cross-sectional data-base. Research implications or Originality - The above results all together show that the optimal volatility in designing optimal Monte Carlo simulation varies depending on the country, and many Korean banks fail to pass sress test under the adverse and severely adverse scenarios, implying that Korean banks need to make improvement in the BIS ratio.

6MV Photon Beam Commissioning in Varian 2300C/D with BEAM/EGS4 Monte Carlo Code

  • Kim, Sangroh;Jason W. Sohn;Cho, Byung-Chul;Suh, Tae-Suk;Choe, Bo-Yong;Lee, Hyoung-Koo
    • 한국의학물리학회:학술대회논문집
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    • 한국의학물리학회 2002년도 Proceedings
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    • pp.113-115
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    • 2002
  • The Monte Carlo simulation method is a numerical solution to a problem that models objects interacting with other objects or their environment based upon simple object-object or object-environment relationships. In spite of its great accuracy, It was turned away because of long calculation time to simulate a model. But, it is used to simulate a linear accelerator frequently with the advance of computer technology. To simulate linear accelerator in Monte Carlo simulations, there are many parameters needed to input to Monte Carlo code. These data can be supported by a linear accelerator manufacturer. Although the model of a linear accelerator is the same, a different characteristic property can be found. Thus, we performed a commissioning process of 6MV photon beam in Varian 2300C/D model with BEAM/EGS4 Monte Carlo code. The head geometry data were put into BEAM/EGS4 data. The mean energy and energy spread of the electron beam incident on the target were varied to match Monte Carlo simulations to measurements. TLDs (thermoluminescent dosimeter) and radiochromic films were employed to measure the absorbed dose in a water phantom. Beam profile was obtained in 40cm${\times}$40cm field size and Depth dose was in 10cm${\times}$10cm. At first, we compared the depth dose between measurements and Monte Carlo simulations varying the mean energy of an incident electron beam. Then, we compared the beam profile with adjusting the beam radius of the incident electron beam in Monte Carlo simulation. The results were found that the optimal mean energy was 6MV and beam radius of 0.1mm was well matched to measurements.

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Monte Carlo Study of Layered Heisenberg Ferromagnet

  • Lee, Kyuwon
    • Journal of Magnetics
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    • 제6권4호
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    • pp.119-121
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    • 2001
  • Monte Carlo simulation was employed to study the phase transition in the classical Heisenberg ferromagnet with variable interlayer interactions. The measured transition temperatures show a strong logarithmic dependence on J/J'where J and J'are the intralayer and the interlayer exchange interaction, respectively. The results were compared with the theoretical expectations and an empirical formula for the critical coupling was stained.

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Monte-Carlo Simulation 과 Deterministic Simulation의 합성적 방법에 의한 배열소자 가중치에 따른 오차의 규정 (Decision of Error Tolerance in Weighted Array by Hybrid Method of Monte-Carlo Simulation and Deterministic Simulation)

  • 최철민;이용범;김형동
    • 한국음향학회:학술대회논문집
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    • 한국음향학회 2000년도 학술발표대회 논문집 제19권 2호
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    • pp.333-336
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    • 2000
  • 본 논문에서는 Monte-Carlo simulation과 deterministic simulation을 합성한 방법으로 특성허용 패턴을 만족하는 개별소자의 오차범위를 가중치에 따라 차별적으로 규정을 하였다. 일반적으로 사용되는 통계적인 방법은 불규칙한 특성을 갖는 랜덤오차를 정규분포를 갖는 랜덤변수로 모델링을 하여 허용 패턴으로부터 오차의 범위를 규정하는데, 이렇게 구해진 범위는 개별소자의 가중치의 영향을 고려하지 않고 일률적인 특성을 나타낸다는 단점이 있다. 이에 반해 deterministic simulation을 통해서 얻어진 오차의 범위는 가중치에 따라서 상대적인 범위를 결정할 수 있지만 해석 하고자하는 배열소자의 개수에 따라서 계산량이 지수승으로 증가하는 단점이 있어 10개 이상의 소자를 갖는 배열에는 적합하지 않다. 이러한 단점을 보완하기 위해서는 본 논문에서는 Monte-Carlo simulation과 deterministic simulation의 합성적 방법을 사용해서 배열소자의 증가에 따른 계산량의 증가를 줄이면서 각 가충치에 따라 상대적인 개별오차의 허용범위를 결정하였다. 그리고 이렇게 규정된 오차의 범위를 간단한 모의 실험을 통해서 검증하였다.

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Fuzzy Set Theory와 Monte Carlo Simulation을 이용한 암반사면의 파괴확률 산정기법 연구 (The Evaluation of Failure Probability for Rock Slope Based on Fuzzy Set Theory and Monte Carlo Simulation)

  • 박혁진
    • 한국지반공학회논문집
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    • 제23권11호
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    • pp.109-117
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    • 2007
  • 암반사면의 안정성 해석에는 다양한 원인에 의하여 불확실성이 개입하게 되며 경우에 따라 이러한 불확실성이 암반사면의 붕괴원인이 되기도 한다. 따라서 1980년대 이후부터 이러한 불확실성에 대한 중요성이 인식되었고 이를 정량화하기 위한 기법의 하나로 확률론적 해석기법이 제안되었다. 그러나 확률론적 해석기법은 불확실성에 대한 정보를 충분하게 획득할 수 있어 확률변수(random variable)치 확률특성을 정확하게 파악할 수 있다는 가정 하에 그 적용이 가능하다. 또한 불확실성중 공간적인 변동성이나 불균질성에 의한 불확실성은 확률론에 의해 쉽게 정량화될 수 있으나 측정오차나 측정수량의 부족 등에 의해 기인하는 불확실성은 확률론에 의해 다루기 어려운 것이 사실이다. 따라서 이러한 한계점을 보완하기 위해 퍼지집합이론(fuzzy set theory)의 활용이 제안되었다. 본 연구에서는 확률변수를 퍼지 숫자(fuzzy number)로 고려하여 퍼지집합이론을 활용하였고 이를 해석하기 위한 방법으로 몬테카를로기법(Monte Carlo simulation) 기법을 제안하였다. 이것은 퍼지숫자(fuzzy number)를 분석하기 위해 꼭지점(vertex) 기법이나 점추정법(point estimate method, PEM), 일계이차모멘트법(first order second moment method, FOSM)의 기법을 활용하였던 기존의 방법이 대표값만을 이용했던 단점을 보완할 수 있을 것으로 보인다. 제안된 기법의 적용성을 판단하기위해 현장을 선정하여 적용해 보았다. 결정론적 해석 결과 절리군 2는 안전한 것으로 절리군 4는 불안정한 것으로 해석되었다. 반면 확률론적 해석 결과 절리군 2의 경우 29.3%의 파괴확률을, 절리군 4의 경우 73.5%의 파괴확률을 보였다. 본 연구를 통해 제안된 기법을 활용하여 파괴확률을 계산해본 결과 절리군 2의 경우 33.5%, 절리군 4의 경우 73.5%로 확률론 해석기법의 결과와 유사하게 산정되었다. 따라서 본 연구에 의해 제안된 해석기법인 퍼지몬테카를로기법(Fuzzy Monte Carlo simulation) 기법이 이전의 해석결과와 유사한 해석결과를 보여주면서 자료의 분산이 많이 감소했다는 것을 알 수 있다.

Monte Carlo Simulation of the Molecular Properties of Poly(vinyl chloride) and Poly(vinyl alcohol) Melts

  • Moon, Sung-Doo;Kang, Young-Soo;Lee, Dong-J.
    • Macromolecular Research
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    • 제15권6호
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    • pp.491-497
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    • 2007
  • NPT Monte Carlo simulations were performed to calculate the molecular properties of syndiotactic poly(vinyl chloride) (PVC) and syndiotactic poly(vinyl alcohol) (PVA) melts using the configurational bias Monte Carlo move, concerted rotation, reptation, and volume fluctuation. The density, mean square backbone end-to-end distance, mean square radius of gyration, fractional free-volume distribution, distribution of torsional angles, small molecule solubility constant, and radial distribution function of PVC at 0.1 MPa and above the glass transition temperature were calculated/measured, and those of PVA were calculated. The calculated results were compared with the corresponding experimental data and discussed. The calculated densities of PVC and PVA were smaller than the experimental values, probably due to the very low molecular weight of the model polymer used in the simulation. The fractional free-volume distribution and radial distribution function for PVC and PVA were nearly independent of temperature.

몬데 칼로 방법을 이용한 실리콘 MOSFET의 드레인영역에서 77 K와 300 K의 Impact Ionization 특성 (Impact Ionization Characteristics Near the Drain of Silicon MOSFET's at 77 and 300 K Using Monte Carlo Method)

  • 이준구;박영준;한민구
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1989년도 추계학술대회 논문집 학회본부
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    • pp.131-135
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    • 1989
  • Hot electron simulation of silicon using Monte Carlo method was carried out to investigate impact ionization characteristics near the drain of MOSFET's at 77 and 300K. We successfully characterized drift velocity and impact ionization at 77 and 300K employing a simplified energy band structure and phonon scattering mechanisms. Woods' soft energy threshold model was introduced to the Monte Carlo simulation of impact ionization, and good agreement with reported experimental results was resulted by employing threshold energy of 1.7 eV. It is suggested that the choice of the critical angle between specular reflection and diffusive scattering of surface roughness scattering may be important in determining the impact ionization charateristics of Monte Carlo simulation near the drain of MOSFET's.

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유기EL 증착 공정에 대한 3차원 Monte Carlo 해석 (Three Dimensional Direct Monte Carlo Simulation on OLED Evaporation Process)

  • 이응기
    • 반도체디스플레이기술학회지
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    • 제8권4호
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    • pp.37-42
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    • 2009
  • The performance of an OLED(organic luminescent emitting device) fabrication system strongly depends on the design of the evaporation cell-source. Trends in display sizes have hauled the enlargement of mother glass substrates. The enlargement of substrates requires the improvement and the enlargement of the effusion cell-source for OLED evaporation process. The deposited layers should be as uniform as possible, and therefore it is important to know the effusion profile of the molecules emitted from the cell-source. Conventional 2D DSMC algorithm cannot be used for simulating the new concept cell-source design, such as a linear source. This work concerns the development of 3D DSMC (direct simulation Monte Carlo) analysis for simulating the behavior of the evaporation cell-sources. In this paper, the 3D DSMC algorithm was developed and the film thickness profiles were obtained by the numerical analysis.

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