• 제목/요약/키워드: Monte-Carlo(MC)

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로지스틱 회귀모형에서의 SUPPRESSION (Suppression for Logistic Regression Model)

  • 홍종선;김호일;함주형
    • 응용통계연구
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    • 제18권3호
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    • pp.701-712
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    • 2005
  • 로지스틱 회귀모형에서 suppression의 논의는 선형회귀의 논의보다 많지 않은데 그 이유 중의 하나는 회귀제곱합 또는 결정계수의 정의가 유일하지 않고 다양하기 때문이다. 여러 종류의 결정계수들 중에서 선호되는 두 종류의 결정계수와 Liao와 McGee(2003)가 제안한 두 종류의 수정 결정계수의 정의로부터 회귀제곱합을 유도하여 로지스틱 회귀모형에서의 suppression을 설명하고자 한다. 모의실험을 통하여 자료를 생성하여 어떤 경우에 suppression이 발생하는지를 살펴보고 그 결과를 선형회귀모형에서의 suppression 결과와 비교한다.

Computing-Inexpensive Matrix Model for Estimating the Threshold Voltage Variation by Workfunction Variation in High-κ/Metal-gate MOSFETs

  • Lee, Gyo Sub;Shin, Changhwan
    • JSTS:Journal of Semiconductor Technology and Science
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    • 제14권1호
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    • pp.96-99
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    • 2014
  • In high-${\kappa}$/metal-gate (HK/MG) metal-oxide-semiconductor field-effect transistors (MOSFETs) at 45-nm and below, the metal-gate material consists of a number of grains with different grain orientations. Thus, Monte Carlo (MC) simulation of the threshold voltage ($V_{TH}$) variation caused by the workfunction variation (WFV) using a limited number of samples (i.e., approximately a few hundreds of samples) would be misleading. It is ideal to run the MC simulation using a statistically significant number of samples (>~$10^6$); however, it is expensive in terms of the computing requirement for reasonably estimating the WFV-induced $V_{TH}$ variation in the HK/MG MOSFETs. In this work, a simple matrix model is suggested to implement a computing-inexpensive approach to estimate the WFV-induced $V_{TH}$ variation. The suggested model has been verified by experimental data, and the amount of WFV-induced $V_{TH}$ variation, as well as the $V_{TH}$ lowering is revealed.

Impacts of Burnup-Dependent Swelling of Metallic Fuel on the Performance of a Compact Breed-and-Burn Fast Reactor

  • Hartanto, Donny;Heo, Woong;Kim, Chihyung;Kim, Yonghee
    • Nuclear Engineering and Technology
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    • 제48권2호
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    • pp.330-338
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    • 2016
  • The U-Zr or U-TRU-Zr cylindrical metallic fuel slug used in fast reactors is known to swell significantly and to grow during irradiation. In neutronics simulations of metallic-fueled fast reactors, it is assumed that the slug has swollen and contacted cladding, and the bonding sodium has been removed from the fuel region. In this research, a realistic burnup-dependent fuel-swelling simulation was performed using Monte Carlo code McCARD for a single-batch compact sodium-cooled breed-and-burn reactor by considering the fuel-swelling behavior reported from the irradiation test results in EBR-II. The impacts of the realistic burnup-dependent fuel swelling are identified in terms of the reactor neutronics performance, such as core lifetime, conversion ratio, axial power distribution, and local burnup distributions. It was found that axial fuel growth significantly deteriorated the neutron economy of a breed-and-burn reactor and consequently impaired its neutronics performance. The bonding sodium also impaired neutron economy, because it stayed longer in the blanket region until the fuel slug reached 2% burnup.

Neutronic simulation of the CEFR experiments with the nodal diffusion code system RAST-F

  • Tran, Tuan Quoc;Lee, Deokjung
    • Nuclear Engineering and Technology
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    • 제54권7호
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    • pp.2635-2649
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    • 2022
  • CEFR is a small core-size sodium-cooled fast reactor (SFR) using high enrichment fuel with stainless-steel reflectors, which brings a significant challenge to the deterministic methodologies due to the strong spectral effect. The neutronic simulation of the start-up experiments conducted at the CEFR have been performed with a deterministic code system RAST-F, which is based on the two-step approach that couples a multi-group cross-section generation Monte-Carlo (MC) code and a multi-group nodal diffusion solver. The RAST-F results were compared against the measurement data. Moreover, the characteristic of neutron spectrum in the fuel rings, and adjacent reflectors was evaluated using different models for generation of accurate nuclear libraries. The numerical solution of RAST-F system was verified against the full core MC solution MCS at all control rods fully inserted and withdrawn states. A good agreement between RAST-F and MCS solutions was observed with less than 120 pcm discrepancies and 1.2% root-mean-square error in terms of keff and power distribution, respectively. Meanwhile, the RAST-F result agreed well with the experimental values within two-sigma of experimental uncertainty. The good agreement of these results indicating that RAST-F can be used to neutronic steady-state simulations for small core-size SFR, which was challenged to deterministic code system.

Design of Multipurpose Phantom for External Audit on Radiotherapy

  • Lim, Sangwook
    • 한국의학물리학회지:의학물리
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    • 제32권4호
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    • pp.122-129
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    • 2021
  • Purpose: This study aimed to design a multipurpose dose verification phantom for external audits to secure safe and optimal radiation therapy. Methods: In this study, we used International Atomic Energy Agency (IAEA) LiF powder thermoluminescence dosimeter (TLD), which is generally used in the therapeutic radiation dose assurance project. The newly designed multipurpose phantom (MPP) consists of a container filled with water, a TLD holder, and two water-pressing covers. The size of the phantom was designed to be sufficient (30×30×30 cm3). The water container was filled with water and pressed with the cover for normal incidence to be fixed. The surface of the MPP was devised to maintain the same distance from the source at all times, even in the case of oblique incidence regardless of the water level. The MPP was irradiated with 6, 10, and 15 MV photon beams from Varian Linear Accelerator and measured by a 1.25 cm3 ionization chamber to get the correction factors. Monte Carlo (MC) simulation was also used to compare the measurements. Results: The result obtained by MC had a relatively high uncertainty of 1% at the dosimetry point, but it showed a correction factor value of 1.3% at the 5 cm point. The energy dependence was large at 6 MV and small at 15 MV. Various dosimetric parameters for external audits can be performed within an hour. Conclusions: The results allow an objective comparison of the quality assurance (QA) of individual hospitals. Therefore, this can be employed for external audits or QA systems in radiation therapy institutions.

무선랜에 의한 WiBro 간섭 영향 분석 (Analysis on the Interference Effect of WLAN on WiBro)

  • 심용섭;이일규
    • 한국인터넷방송통신학회논문지
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    • 제11권2호
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    • pp.95-100
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    • 2011
  • 본 논문은 2.4 GHz 대역을 사용하는 IEEE 802.11b 기반의 무선랜 서비스가 인접대역을 사용하는 WiBro 서비스에 미치는 간섭의 영향을 MC(Monte Carlo) 원리를 이용하여 분석하였다. 분석을 위한 시나리오는 무선랜 서비스가 1 번 채널의 주파수대역(2401 MHz ~ 2423 MHz)을 사용하고 WiBro(Wireless Broadband) 서비스가 주파수대역(2345 MHz ~ 2355 MHz)를 사용하는 경우로 WiBro 수신기가 무선랜의 AP(Access Point)에 근접할수록 간섭이 커진다. 이 때, 무선랜 AP와 WiBro 수신기 사이의 거리를 변화 시켰을 때, 간섭 확률 5 % 이하를 만족시키는 보호 거리를 산출하였다. 또한, 설정된 보호 거리에서 간섭 확률 5 % 이하를 만족하기 위한 요구되는 간섭 송신 파워를 산출하였다. 그 결과, 보호 거리는 약 60 m로 산출되었고 보호거리를 10 m로 설정하였을 때, 요구되는 무선랜의 간섭 송신 파워는 -9.5 dBm으로 분석되었다.

FHSS 및 DSSS 방식 소출력 무선기기간 간섭 분석에 관한 연구 (A Study on Interference Analysis between FHSS and DSSS Short Range Radio Devices)

  • 김진영;김은철;양재수;류충상;오성택
    • 한국전자파학회논문지
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    • 제19권2호
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    • pp.271-279
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    • 2008
  • 본 논문에서는 FHSS 방식의 소출력 무선기기와 DSSS 방식의 소출력 무선기기가 동일 주파수 대역에 존재하는 경우 업무간 간섭을 분석하였다. 분석 방법은 몬테 카를로 방법을 이용하여 DSSS 방식의 소출력 무선기기의 불요 방사가 FHSS 방식의 소출력 무선기기에 미치는 영향을 간섭 확률 측면에서 계산하였다. 간섭 시뮬레이션은 DSSS 방식의 소출력 무선기기의 대역폭과 충격 계수에 따른 간섭량을 계산하였고, 전파 모델은 자유 공간으로 가정하였다. 그리고 간섭원과 피간섭원 사이의 거리에 따른 영향을 수신기에서의 BER 측면에서 분석하였다. 간섭 분석 결과, 간섭원의 대역폭보다는 충격 계수가 시스템 양립성에 많은 영향을 주는 것을 확인할 수 있었고, 단일 간섭원과 다중 간섭원이 존재하는 경우 BER 기준을 만족하는 이격 거리를 확인할 수 있었다.

DOProC-based reliability analysis of structures

  • Janas, Petr;Krejsa, Martin;Sejnoha, Jiri;Krejsa, Vlastimil
    • Structural Engineering and Mechanics
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    • 제64권4호
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    • pp.413-426
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    • 2017
  • Probabilistic methods are used in engineering where a computational model contains random variables. The proposed method under development: Direct Optimized Probabilistic Calculation (DOProC) is highly efficient in terms of computation time and solution accuracy and is mostly faster than in case of other standard probabilistic methods. The novelty of the DOProC lies in an optimized numerical integration that easily handles both correlated and statistically independent random variables and does not require any simulation or approximation technique. DOProC is demonstrated by a collection of deliberately selected simple examples (i) to illustrate the efficiency of individual optimization levels and (ii) to verify it against other highly regarded probabilistic methods (e.g., Monte Carlo). Efficiency and other benefits of the proposed method are grounded on a comparative case study carried out using both the DOProC and MC techniques. The algorithm has been implemented in mentioned software applications, and has been used effectively several times in solving probabilistic tasks and in probabilistic reliability assessment of structures. The article summarizes the principles of this method and demonstrates its basic possibilities on simple examples. The paper presents unpublished details of probabilistic computations based on this method, including a reliability assessment, which provides the user with the probability of failure affected by statistically dependent input random variables. The study also mentions the potential of the optimization procedures under development, including an analysis of their effectiveness on the example of the reliability assessment of a slender column.

Influence of the Mars atmosphere model on aerodynamics of an entry capsule: Part II

  • Zuppardi, Gennaro
    • Advances in aircraft and spacecraft science
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    • 제7권3호
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    • pp.229-249
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    • 2020
  • This paper is the logical follow-up of four papers by the author on the subject "aerodynamics in Mars atmosphere". The aim of the papers was to evaluate the influence of two Mars atmosphere models (NASA Glenn and GRAM-2001) on aerodynamics of a capsule (Pathfinder) entering the Mars atmosphere and also to verify the feasibility of evaluating experimentally the ambient density and the ambient pressure by means of the methods by McLaughlin and Cassanto respectively, therefore to correct the values provided by the models. The study was carried out computationally by means of: i) a code integrating the equations of dynamics of an entry capsule for the computation of the trajectories, ii) two Direct Simulation Monte Carlo (DSMC) codes for the solution of the 2-D, axial-symmetric and 3-D flow fields around the capsule in the altitude interval 50-100 km. The computations verified that the entry trajectories of Pathfinder from the two models, in terms of the Mach, Reynolds and Knudsen numbers, were very different. The aim of the present paper is to continue this study, considering other aerodynamic problems and then to provide a contribution to a long series of papers on the subject "aerodynamics in Mars atmosphere". More specifically, the present paper evaluated and quantified the effects from the two models of: i) chemical reactions on aerodynamic quantities in the shock layer, ii) surface temperature, therefore of the contribution of the re-emitted molecules, on local (pressure, skin friction, etc.) and on global (drag) quantities, iii) surface recombination reactions (catalyticity) on heat flux. The results verified that the models heavily influence the flow field (as per the shock wave structure) but, apart from the surface recombination reactions, the effects of the different conditions on aerodynamics of the capsule are negligible for both models and confirmed what already found in the previous paper that, because of the higher values of density from the NASA Glenn model, the effects on aerodynamics of a entry capsule are stronger than those computed by the GRAM-2001 model.

ACA: Automatic search strategy for radioactive source

  • Jianwen Huo;Xulin Hu;Junling Wang;Li Hu
    • Nuclear Engineering and Technology
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    • 제55권8호
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    • pp.3030-3038
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    • 2023
  • Nowadays, mobile robots have been used to search for uncontrolled radioactive source in indoor environments to avoid radiation exposure for technicians. However, in the indoor environments, especially in the presence of obstacles, how to make the robots with limited sensing capabilities automatically search for the radioactive source remains a major challenge. Also, the source search efficiency of robots needs to be further improved to meet practical scenarios such as limited exploration time. This paper proposes an automatic source search strategy, abbreviated as ACA: the location of source is estimated by a convolutional neural network (CNN), and the path is planned by the A-star algorithm. First, the search area is represented as an occupancy grid map. Then, the radiation dose distribution of the radioactive source in the occupancy grid map is obtained by Monte Carlo (MC) method simulation, and multiple sets of radiation data are collected through the eight neighborhood self-avoiding random walk (ENSAW) algorithm as the radiation data set. Further, the radiation data set is fed into the designed CNN architecture to train the network model in advance. When the searcher enters the search area where the radioactive source exists, the location of source is estimated by the network model and the search path is planned by the A-star algorithm, and this process is iterated continuously until the searcher reaches the location of radioactive source. The experimental results show that the average number of radiometric measurements and the average number of moving steps of the ACA algorithm are only 2.1% and 33.2% of those of the gradient search (GS) algorithm in the indoor environment without obstacles. In the indoor environment shielded by concrete walls, the GS algorithm fails to search for the source, while the ACA algorithm successfully searches for the source with fewer moving steps and sparse radiometric data.