• Nuclear Engineering and Technology
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• 제56권6호
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• pp.2412-2420
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• 2024

The International Atomic Energy Agency (IAEA) mandates safeguards to ensure non-proliferation of nuclear materials. Among inspection techniques used to detect partial defects within spent nuclear fuel (SNF), gamma emission tomography (GET) has been reported to be reliable for detection of partial defects on a pin-by-pin level. Conventional GET, however, is limited by low detection efficiency due to the high density of nuclear fuel rods and self-absorption. This paper proposes a new type of GET named Spent Fuel Internal Tomography (SFIT), which can acquire sinograms at the guide tube. The proposed device consists of the housing, shielding, C-shaped collimator, reflector, and gadolinium aluminum gallium garnet (GAGG) scintillator. For accurate attenuation correction, the source-distinguishable range of the SFIT device was determined using MC simulation to the region away from the proposed device to the second layer. For enhanced inspection accuracy, a proposed specific source-discrimination algorithm was applied. With this, the SFIT device successfully distinguished all source locations. The comparison of images of the existing and proposed inspection methods showed that the proposed method, having successfully distinguished all sources, afforded a 150 % inspection accuracy improvement.

• 한국진공학회:학술대회논문집
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• 한국진공학회 1998년도 제14회 학술발표회 논문개요집
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• pp.20-20
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• 1998

I Ion beam technology has recently attracted much interest because it has exciting t technological p아:ential for surface analysis, ion beam mixing, surface cleaning and etching i in thin film growth and semiconductor fabrication processes, etc. Es야~cially, ion beam s sputtering has been widely used for sputter depth profiling with x-photoelectron S spectroscopy (XPS) , Auger electron s$\pi$~troscopy(AES), and secondary-ion mass S야i따oscopy(SIMS). However, The problem of surface compositional ch없1ge due to ion b bombardment remains to be understo여 없ld solved. So far sputtering processes have been s studied by s따face an외ysis tools such as XPS, AES, and SIMS which use the sputtering p process again. It would be improbable to measure the modified surface composition profiles a accurately due to ion beam bombardment with surface analysis techniques based on sputter d depth profiling. However, recently Medium energy ion scattering spectroscopy(MEIS) has b been applied to study the sputtering of solid surface at ion bombardment and has been p proved that it has been extremely valuable in probing the surface composition 뻐d s structure nondestructively and quantita디vely with less than 1.0 nm depth resolution. To u understand the sputtering processes of solid surface at ion bombardment, The Molecular D Dynamics(MD) and Monte Carlo(MC) simulation has been used and give an intimate i insight into the sputtering processes of solid surfaces. In this presentation, the sputtering processes of alloys and compound samples at ion b bombardment will be reviewed and the MEIS results for the Ar+ sputter induced altered l layer of the TazOs thin film 뻐dd없nage profiling of Ar+ ion sputt얹"ed Si(100) surface will b be discussed with the results of MD and MC simulation.tion.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 1999년도 춘계학술대회 논문집
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• pp.617-620
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• 1999

In this study, the polarization e(fecal and the birefringence effect of amorphous germanium (a-Ge) thin films were investigated by using linearly polarized He-Ne laser beam. The a-7e thin films were deposited on the quarts substrate by plasma enhanced chemical vapor deposition (PECVD) and thermal vacuum evaporation In order to obtain the optimum grating arrays, inorganci resists such as Si$_3$N$_4$ and a-Se$_{75}$ Ge$_{25}$ , were prepared with the optimized thickness by Monte Carlo (MC) simulation. As the results of MC simulation, the thickness ofa-Se$_{75}$ Ge$_{25}$ resist was determined with Z$_{min}$ of 360$\AA$ . The resists were exposed to Ga$^{+}$-FIB with accelerating energies of 50 keV, developed by wet etching, and a-Ge thin film was etched by reactive ion-etching (RIE). Finally, we were obtained grating arrays which grating width and linewidth are 0.8${\mu}{\textrm}{m}$, respectively and we studied the polarization and birefringence effect in transmission grating array made of high refractive amorphous material, and the applicability as waveplates and polarizers in optical device.e.e.

• 한국의학물리학회지:의학물리
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• 제16권2호
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• pp.104-109
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• 2005

암치료에 사용되고 있는 광역학 치료는 환자에게 광민감제를 투여하고 다이오드 레이저(630 nm)를 조사하여 생성되는 단일상태 산소와 자유 라디칼에 의해 암조직을 괴사시키는 치료방법이다. 현재 광역학 치료의 문제점은 부피가 큰 종양이나 고형암에서는 빛이 종양전체를 투과할 수 없으므로 광역학 치료의 효과가 떨어지는 것이다. 따라서 이 문제를 해결하기 위하여 간질성 광역학 치료법을 개발하고자 한다. 생체조직내의 정확한 광선량 측정이 간질성광역학치료의 효과에 매우 중요한 영향을 주므로, 실험 연구에 사용된 계수는 실제 생체조직의 광학 계수이다. 생체조직 대부분은 가시광선영역에서 큰 산란계수를 가지며, 투과 깊이에 많은 영향을 미치는 것으로 확인되었다. 가시영역에서의 인체조직의 투과깊이는 약 $15\~20mm$이었다. 몬테칼로 시뮬레이션(Monte Carlo simulation)을 이용하여 생체조직내의 광전파, 광선량, 에너지율, 투과깊이를 잘 측정할 수 있음을 알았다. 그리고 이 시뮬레이션 결과를 가지고 고형암에 간질성 광역학 치료를 하여 치료효과를 확인하였다.

• 전자공학회논문지D
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• 제36D권3호
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• pp.48-58
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• 1999

본 연구에서는 3차원 반도체 공정 시뮬레이션의 효율성과 성능을 향상시키기 위하여, 병렬 유한요소법 수치해석에 사용이 적합한 디라우니 병렬 메쉬 생성기 및 표면 전진 메쉬 생성기를 개발하였고, 이를 위하여 개선된 성능을 보이는 수정된 하부구조법 병렬 유한요소법 수치해석기를 개발하였다. 또한, 행렬 계산 알고리즘의 병렬화를 확산 및 산화 시뮬레이터에 적용하여, 직렬 계산 시 3시간이 소요되는 확산 시뮬레이션과 비평탄 구조를 지니는 R-LOCOS 등의 연산을 8개의 프로세서를 병렬로 사용하여 15분만에 계산하였다. 과다한 계산 시간을 요하는 몬테카를로 수치해석 방법의 효율성을 높이고자, 병렬 연산 알고리즘을 몬테카를로 연산에 적용하였다. 또한, 스퍼터링 증착장치 시스템의 타켓 입자 분포 특성을 병렬 연산 몬테카를로 방식으로 계산하였다. 3000개의 이온을 주입하였을 겨우 단일 프로세서에서 13,000초의 계산시간이 소요되었으나, 30개의 프로세서를 병렬로 사용하였을 때 520초의 시간을 소비하여,25 이상의 스피드업 특성을 얻었다. 또한, 몬테카를로 계산의 최적화 연구를 통해서 3차원 스퍼터링 증착장치에서 연쇄 충돌 계산 수행시의 최적이온의 개수는 30,000임을 확인하였다.

• Geomechanics and Engineering
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• 제28권4호
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• pp.421-435
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• 2022

The necessity of estimating the time and cost required for tunnel construction has led to extensive research in this regard. Since geological conditions are significant factors in terms of time and cost of road tunnels, considering these conditions is crucial. Uncertainties about the geological conditions of a tunnel alignment cause difficulties in planning ahead of the required construction time and costs. In this paper, the continuous-space, discrete-state Markov process has been used to predict geological conditions. The Monte-Carlo (MC) simulation (MCS) method is employed to estimate the construction time and costs of a road tunnel project using the input data obtained from six tunneling expert questionnaires. In the first case, the input data obtained from each expert are individually considered and in the second case, they are simultaneously considered. Finally, a comparison of these two modes based on the technique presented in this article suggests considering views of several experts simultaneously to reduce uncertainties and ensure the results obtained for geological conditions and the construction time and costs.

• Journal of Astronomy and Space Sciences
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• 제40권4호
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• pp.259-266
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• 2023

The Standard Model (SM) does not provide an information for 26% of dark matter of the universe. In the dark sector, dark matter is supposed to be linked with the hypothetical particles called dark photons that have similar role to photons in electromagnetic interaction in the SM. Besides astronomical observation, there are studies to find dark matter candidates using accelerators. In this paper, we searched for dark photons using future electron-positron colliders, including Circular Electron Positron Collider (CEPC)/CEPC, Future Circular Collider (FCC-ee)/Innovative Detector for Electron-positron Accelerator (IDEA), and International Linear Collider (ILC)/International Large Detector (ILD). Using the parameterized response of the detector simulation of Delphes, we studied the sensitivity of a double dark photon mode at each accelerator/detector. The signal mode is double dark photon decay channel, e⁺e^- → A'A', where A' (dark photon with spin 1) decaying into a muon pair. We used MadGraph5 to generate Monte Carlo (MC) events by means of a Simplified Model. We found the dark photon mass at which the cross-sections were the highest for each accelerator to obtain the maximum number of events. In this paper we show the expected number of dark photon signal events and the detector efficiency of each accelerator. The results of this study can facilitate in the dark photon search by future electron-positron accelerators.

• 산업경영시스템학회지
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• 제42권4호
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• pp.194-202
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• 2019

Reliability analysis of the components frequently starts with the data that manufacturer provides. If enough failure data are collected from the field operations, the reliability should be recomputed and updated on the basis of the field failure data. However, when the failure time record for a component contains only a few observations, all statistical methodologies are limited. In this case, where the failure records for multiple number of identical components are available, a valid alternative is combining all the data from each component into one data set with enough sample size and utilizing the useful information in the censored data. The ROK Navy has been operating multiple Patrol Killer Guided missiles (PKGs) for several years. The Korea Multi-Function Control Console (KMFCC) is one of key components in PKG combat system. The maintenance record for the KMFCC contains less than ten failure observations and a censored datum. This paper proposes a Bayesian approach with a Dirichlet mixture model to estimate failure time density for KMFCC. Trends test for each component record indicated that null hypothesis, that failure occurrence is renewal process, is not rejected. Since the KMFCCs have been functioning under different operating environment, the failure time distribution may be a composition of a number of unknown distributions, i.e. a mixture distribution, rather than a single distribution. The Dirichlet mixture model was coded as probabilistic programming in Python using PyMC3. Then Markov Chain Monte Carlo (MCMC) sampling technique employed in PyMC3 probabilistically estimated the parameters' posterior distribution through the Dirichlet mixture model. The simulation results revealed that the mixture models provide superior fits to the combined data set over single models.

• 한국통신학회논문지
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• 제31권8A호
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• pp.814-819
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• 2006

본 논문에서는 3.1 GHz에서 10.6 GHz 주파수 대역을 사용하면서 실내 및 실외 통신에 적용되는 초 광대역(UWB) 시스템이 OFDM(Orthogonal Frequency Division Multiplexing)을 근간으로 한 2.3 GHz 대 WiBro(Wireless Broad-band )시스템에 미치는 간섭 영향에 대해 분석하였다. 최악의 상황을 고려하여 단일 UWB 간섭의 경우는 최소결합손실(MCL) 방법으로 간섭분석을 수행하였고, 다중 UWB 간섭인 경우는 실제 상황을 고려한 간섭 시나리오를 바탕으로 몬테칼로(MC) 방법으로 간섭 시뮬레이션을 수행하였다. 분석 및 시뮬레이션 결과 두 시스템의 양립성을 보장하기 위해 단일 간섭 원 과 희생(victim) 수신기 사이의 이격 거리는 34.4m 이상이 요구되었다. 또한, 다중 UWB 간섭 원 인 경우에 WiBro 단말기의 최소 throughput 손실을 보장하기 위해 허용할 수 있는 UWB 송신전력 레벨은 약 - 81 dBm / MHz 이하로 요구되었다.

• Structural Engineering and Mechanics
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• 제83권3호
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• pp.293-304
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• 2022

In this work, a novel reliability approach for combined high and low cycle fatigue (CCF) estimation is developed by combining active learning strategy with least squares support vector machines (LS-SVM) (named as ALS-SVM) surrogate model to address the multi-resources uncertainties, including working loads, material properties and model itself. Initially, a new active learner function combining LS-SVM approach with Monte Carlo simulation (MCS) is presented to improve computational efficiency with fewer calls to the performance function. To consider the uncertainty of surrogate model at candidate sample points, the learning function employs k-fold cross validation method and introduces the predicted variance to sequentially select sampling. Following that, low cycle fatigue (LCF) loads and high cycle fatigue (HCF) loads are firstly estimated based on the training samples extracted from finite element (FE) simulations, and their simulated responses together with the sample points of model parameters in Coffin-Manson formula are selected as the MC samples to establish ALS-SVM model. In this analysis, the MC samples are substituted to predict the CCF reliability of turbine blades by using the built ALS-SVM model. Through the comparison of the two approaches, it is indicated that the reliability model by linear cumulative damage rule provides a non-conservative result compared with that by the proposed one. In addition, the results demonstrate that ALS-SVM is an effective analysis method holding high computational efficiency with small training samples to gain accurate fatigue reliability.