지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
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초록· 키워드
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Atmospheric transport and dispersion is used to predict the diffusion of radioactivematerials to the atmosphere. Several variables are required as inputs to the model for accuratepredictions, but in the case of a sudden accident, the concentration, location and time of radioactiveemissions must be inferred from monitor measurements. In the inverse modeling method ofdetermining a parameter from a monitor measurement value, sampling is used to estimate apopulation by extracting some values. In this study, to enable sampling, a function in which theoutput value x becomes data, was defined, and algorithms for this were compared. Samplingtechniques were applied to exponential functions and normal distribution functions. In addition,algorithms for the inverse CDF method, reject sampling, compression reject sampling, adaptivereject sampling, and Importance Sampling were applied through simulation. The inverse CDFmethod is the most basic method and has the disadvantage of having to find the inverse function. Forcontinuous functions, sampling was difficult near - ∞ and ∞ during the sampling process. RejectionSampling can be easily sampled using the approximation function g(x) to find the target function,but when the c value increases, it takes much time for sampling. Adaptive rejection sampling (ARS)was economical because the area to be rejected was minimized. However, the complexity of theequation increases the computational complexity. In addition, when the dimensions increase, it isvery difficult to obtain a sample. Importance sampling must also have a cover function as close aspossible to the objective function. If the objective function is large and has a value only in a localarea of the data space, poor results may be obtained.
목차
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참고문헌 (10)
참고문헌 신청
Braun WJ / 2016 / A first course in statistical programming with R / Cambridge University Press
Cheng L / 2015 / Application of Rejection Sampling based methodology to variance based parametric sensitivity analysis / Reliab. Eng. Syst. Saf 142:9~18
Christopher T / 2007 / Improving pollutant source characterization by better estimating wind direction with a genetic algorithm / Atmos. Environ 41:2283~2289
Connan O / 2013 / Comparison of RIMPUFF, HYSPLIT, ADMS atmospheric dispersion model outputs, using emergency response procedures, with 85Kr measurements made in the vicinity of nuclear reprocessing plant / J. Environ. Radioact 124:266~277
Gilks WR / 1995 / Adaptive Rejection Metropolis Sampling within Gibbs Sampling / JR Stat. Soc. Ser C Appl. Stat 44:455~472
Cheng L / 2015 / Application of Rejection Sampling based methodology to variance based parametric sensitivity analysis / Reliab. Eng. Syst. Saf 142:9~18
Christopher T / 2007 / Improving pollutant source characterization by better estimating wind direction with a genetic algorithm / Atmos. Environ 41:2283~2289
Connan O / 2013 / Comparison of RIMPUFF, HYSPLIT, ADMS atmospheric dispersion model outputs, using emergency response procedures, with 85Kr measurements made in the vicinity of nuclear reprocessing plant / J. Environ. Radioact 124:266~277
Gilks WR / 1995 / Adaptive Rejection Metropolis Sampling within Gibbs Sampling / JR Stat. Soc. Ser C Appl. Stat 44:455~472
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