• 한국정밀공학회지
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• 제29권4호
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• pp.479-486
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• 2012

Two of fundamental approaches that can be used to understand ion-solid interaction are Monte Carlo (MC) and Molecular Dynamic (MD) simulations. For the simplicity of simulation Monte Carlo simulation method is widely preferred. In this paper, basic consideration and algorithm of Monte Carlo simulation will be presented as well as simulation results. Sputtering caused by incident ion beam will be discussed with distribution of sputtered particles and their energy distributions. Redeposition of sputtered particles that are experienced refraction at the substrate-vacuum interface additionally presented. In addition, reflection of incident ions with reflection coefficient will be presented together with spatial and energy distributions. This Monte Carlo simulation will be useful in simulating and describing ion beam related processes such as Ion beam induced deposition/etching process, local nano-scale distribution of focused ion beam implanted ions, and ion microscope imaging process etc.

• Structural Engineering and Mechanics
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• 제32권1호
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• pp.1-20
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• 2009

The present contribution addresses uncertainty quantification and uncertainty propagation in structural mechanics using stochastic analysis. Presently available procedures to describe uncertainties in load and resistance within a suitable mathematical framework are shortly addressed. Monte Carlo methods are proposed for studying the variability in the structural properties and for their propagation to the response. The general applicability and versatility of Monte Carlo Simulation is demonstrated in the context with computational models that have been developed for deterministic structural analysis. After discussing Direct Monte Carlo Simulation for the assessment of the response variability, some recently developed advanced Monte Carlo methods applied for reliability assessment are described, such as Importance Sampling for linear uncertain structures subjected to Gaussian loading, Line Sampling in linear dynamics and Subset simulation. The numerical example demonstrates the applicability of Line Sampling to general linear uncertain FE systems under Gaussian distributed excitation.

• 산업기술연구
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• 제22권B호
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• pp.3-12
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• 2002

Monte-Carlo simulation technique has advantages over deterministic simulation in various engineering analysis since Monte-Carlo simulation can take into consideration of scattering of various design variables, which is inherent characteristics of physical world. In this work, Monte-Carlo simulation of steady-state cornering behavior of a truck with design variables like hard points and busing stiffness. The purpose of the simulation is to improve understeer gradient of the truck, which exhibits a small amount of instability when the lateral acceleration is about 0.4g. Through correlation analysis, design variables that have high impacts on the cornering behavior were selected, and significant performance improvement has been achieved by appropriately changing the high impact design variables.

• 한국의학물리학회:학술대회논문집
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• 한국의학물리학회 2002년도 Proceedings
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• pp.106-108
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• 2002

Recent advances in radiation transport algorithms, computer hardware performance, and parallel computing make the clinical use of Monte Carlo based dose calculations possible. Monte Carlo treatment planning requires accurate beam information as input to generate accurate dose distributions. The procedures to obtain this accurate beam information are called "commissioning", which includes accelerator head modeling. In this study, we would like to investigate how much accurately Monte Carlo based dose calculations can predict the measured beam data in various conditions. The Siemens 6MV photon beam and the BEAM Monte Carlo code were used. The comparisons including the percentage depth doses and off-axis profiles of open fields and wedges, output factors will be presented.

• Nuclear Medicine and Molecular Imaging
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• 제42권2호
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• pp.127-136
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• 2008

Monte Carlo simulation methods are especially useful in studying a variety of problems difficult to calculate by experimental or analytical approaches. Nowadays, they are extensively applied to simulate nuclear medicine instrumentations such as single photon emission computed tomography (SPECT) and positron emission tomography (PET) for assisting system design and optimizing imaging and processing protocols. The goal of this paper is to address the practical issues, a potential user of Monte Carlo simulations for nuclear medicine can encounter, to help them to choose a code. This review introduces the different types of Monte Carlo codes currently available for nuclear medicine, comments main features and properties for a code to be proper for a given purpose, and discusses current research trends in Monte Carlo codes.

• JSTS:Journal of Semiconductor Technology and Science
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• 제9권1호
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• pp.67-74
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• 2009

Monte Carlo simulation is widely used for predicting ion implantation profiles in amorphous targets. Here, we compared Monte Carlo simulation results with a vast database of ion implantation secondary ion mass spectrometry (SIMS), and showed that the Monte Carlo data sometimes deviated from the experimental data. We modified the electron stopping power model, calibrated its parameters, and reproduced most of the database. We also demonstrated that Monte Carlo simulation can accurately predict profiles in a low energy range of around 1keV once it is calibrated in the higher energy region.

• 물과 미래
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• 제18권4호
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• pp.335-345
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• 1985

추계학적 이론을 근거로 하는 하천유량의 모의발생 모형에는 여러 가지가 있으며 이는 한정된 짧은 기간동안의 유량 실측치의 통계학적 특성을 재현시키는 일련의 장기적 유량자료를 인위적으로 발생시켜 수자원 시스템의 거동예측이나 조작기준을 보다 완벽하게 설정하기 위한 풍부한 인력 자료를 제공하자는 데 목적이 있다. 본 연구에서는 연유량의 모의발생에 주로 사용되는 Monte Carlo 모형을 연유량 자료를 구성하는 월별 하천유량의 발생에 적용 가능한가를 연구 검토하였다. 비교검토의 목적으로 실측된 월별 유량의 적정분포형을 설정한 후 Monte Carlo 방법에 의해 발생된 월별량과Autoregressive 모형중의 하나인 Thomas-Fiering의 다계절 모형에 의해 발생된 월류량의 통계학적 특성치의 실측치의 특성치와 비교하였다. 한편, 월유량 발생자료의 합성에 의한 연류량 자료의 특성치가 실측 월류량의 합성에 의한 월류량 특성치를 얼마나 잘 재현시키는가를 검사하기 위해 Monte Carlo 및 Thomas-Fiering 모형에 의해 발생시킨 연류량의 통계학적 특성치를 실측류량의 통계특성치와 비교평가하였다.

• 한국전자통신학회논문지
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• 제3권2호
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• pp.58-64
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• 2008

본 논문에서는 industrial, scientific, medical (ISM) 대역의 효율적인 운용을 위해 간섭시나리오와 monte-carlo method 기반의 간섭분석 methodology를 제안하였다. 간섭시나리오는 거리와 밀도에 따른 시나리오로 구분되며, 희생원을 victim receiver (Vr), 간섭원을 interfering transmitter (It)로 정의한다. 간섭분석 시뮬레이션은 Vr의 간섭허용치를 만족하는 It의 간섭유효구간을 통해 얻어지는 유효간섭영역 내에서 It의 분포밀도에 따른 간섭 확률을 도출하게 된다. 제안된 간섭시나리오를 적용하여 2.4GHz ISM 대역에서 사용되는 대표적 무선설비인 WLAN (Vr)과 bluetooth (It)의 시뮬레이션 결과 간섭유효구간은 60~400m 이며, WLAN은 유효간섭영역에 존재하는 6개의 bluetooth와 간섭허용치를 만족하는 범위 내에서 운용될 수 있음을 확인하였다. 또한, 같은 조건에서 frequency hopping (FH) 통신방식을 사용하는 bluetooth에 cognitive radio(CR) 기술 기반의 listen before talk (LBT) 방식을 적용시 간섭 확률은 크게 감소하였다. 컴퓨터 시뮬레이션은 european radiocommunications office (ERO)에서 monte-carlo method를 기반으로 개발한 spectrum engineering advanced monte carlo analysis tool (SEAMCAT)을 사용하였다.

• 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.

• 대한의용생체공학회:의공학회지
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• 제19권3호
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• pp.225-232
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• 1998

무정형 실리콘을 기반으로 한 X-선 영상기기에 대한 Monte Carlo 시뮬레이션 결과를 기술하였다. 무정형 실리콘 X-선 영상기기의 특성을 조사하고 최적의 설계변수들을 제공하기 위하여 Monte Carlo 시뮬레이션을 수행하였다. 본 연구의 목적에 맞도록 Monte Carlo simulation codes를 개발하였고, X-선 최대전압, 알루미늄 필터 두께, Cal(T1)두께, 그리고 무정형 실리콘 광다이오우드 픽셀 크기들을 변화시키면서 무정형 실리콘 X-선 영상기기의 계측 효율과 해상도의 변화를 연구하였다. 60kVP-120kVp의 X-선에 대하여, CsI(TI)의 두께가 300um-500um일 때 계측효율은 70%-95% 였고 에너지 흡수효율은 40%-70%였다. 시뮬레이션 결과로부터, 무정형 실리콘 픽셀크기와 Csl(TI) 두께가 해상도를 결정하는 가장 주된 요소임이 밝혀졌다. 본 연구에서 개발한 시뮬레이션을 사용하여 감도와 해상도를 최적화할 수 있는 적절한 픽셀 크기와 CsI(TI) 두께를 찾아낼 수 있었다.