http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Zio, Enrico,Pedroni, Nicola,Broggi, Matteo,Golea, Lucia Roxana Korean Nuclear Society 2009 Nuclear Engineering and Technology Vol.41 No.10
In this paper, an infinite impulse response locally recurrent neural network (IIR-LRNN) is employed for modelling the dynamics of the Lead Bismuth Eutectic eXperimental Accelerator Driven System (LBE-XADS). The network is trained by recursive back-propagation (RBP) and its ability in estimating transients is tested under various conditions. The results demonstrate the robustness of the locally recurrent scheme in the reconstruction of complex nonlinear dynamic relationships.
ENRICO ZIO,NICOLA PEDRONI,MATTEO BROGGI,LUCIA ROXANA GOLEA 한국원자력학회 2009 Nuclear Engineering and Technology Vol.41 No.10
In this paper, an infinite impulse response locally recurrent neural network (IIR-LRNN) is employed for modelling the dynamics of the Lead Bismuth Eutectic eXperimental Accelerator Driven System (LBE-XADS). The network is trained by recursive back-propagation (RBP) and its ability in estimating transients is tested under various conditions. The results demonstrate the robustness of the locally recurrent scheme in the reconstruction of complex nonlinear dynamic relationships.
Chung-Kung Lo,N. PEDRONI,E. ZIO 한국원자력학회 2014 Nuclear Engineering and Technology Vol.46 No.1
The analyses carried out within the Seismic Probabilistic Risk Assessments (SPRAs) of Nuclear Power Plants (NPPs) areaffected by significant aleatory and epistemic uncertainties. These uncertainties have to be represented and quantifiedcoherently with the data, information and knowledge available, to provide reasonable assurance that related decisions can betaken robustly and with confidence. The amount of data, information and knowledge available for seismic risk assessment istypically limited, so that the analysis must strongly rely on expert judgments. In this paper, a Dempster-Shafer Theory (DST)framework for handling uncertainties in NPP SPRAs is proposed and applied to an example case study. The maincontributions of this paper are two: (i) applying the complete DST framework to SPRA models, showing how to build theDempster-Shafer structures of the uncertainty parameters based on industry generic data, and (ii) embedding Bayesianupdating based on plant specific data into the framework. The results of the application to a case study show that the approachis feasible and effective in (i) describing and jointly propagating aleatory and epistemic uncertainties in SPRA models and (ii)providing ‘conservative’ bounds on the safety quantities of interest (i.e. Core Damage Frequency, CDF) that reflect the(limited) state of knowledge of the experts about the system of interest.
Lo, Chung-Kung,Pedroni, N.,Zio, E. Korean Nuclear Society 2014 Nuclear Engineering and Technology Vol.46 No.1
The analyses carried out within the Seismic Probabilistic Risk Assessments (SPRAs) of Nuclear Power Plants (NPPs) are affected by significant aleatory and epistemic uncertainties. These uncertainties have to be represented and quantified coherently with the data, information and knowledge available, to provide reasonable assurance that related decisions can be taken robustly and with confidence. The amount of data, information and knowledge available for seismic risk assessment is typically limited, so that the analysis must strongly rely on expert judgments. In this paper, a Dempster-Shafer Theory (DST) framework for handling uncertainties in NPP SPRAs is proposed and applied to an example case study. The main contributions of this paper are two: (i) applying the complete DST framework to SPRA models, showing how to build the Dempster-Shafer structures of the uncertainty parameters based on industry generic data, and (ii) embedding Bayesian updating based on plant specific data into the framework. The results of the application to a case study show that the approach is feasible and effective in (i) describing and jointly propagating aleatory and epistemic uncertainties in SPRA models and (ii) providing 'conservative' bounds on the safety quantities of interest (i.e. Core Damage Frequency, CDF) that reflect the (limited) state of knowledge of the experts about the system of interest.
Quality of UVR exposure for different biological systems along a latitudinal gradient
Vernet, Maria,Diaz, Susana B.,Fuenzalida, Humberto A.,Camilion, Carolina,Booth, Charles R.,Cabrera, Sergio,Casiccia, Claudio,Deferrari, Guillermo,Lovengreen, Charlotte,Paladini, Alejandro,Pedroni, Jor Korean Society of Photoscience 2009 Photochemical & photobiological sciences Vol.8 No.9
The exposure of organisms to ultraviolet radiation (UVR) is characterized by the climatology (annual cycle) and the variance (anomalies) of biologically-weighted irradiances at eight geographical locations in austral South America, from 1995-2002. The net effect of UVR on biological systems is a result of the balance of damage and repair which depends on intensity and duration of irradiance and is modulated by its variability. The emphasis in this study is on day-to-day variability, a time scale of importance to adaptive strategies that counteract UVR damage. The irradiances were weighted with DNA- and phytoplankton photosynthesis-action spectra. Low latitude sites show high average UVR. For all sites, the frequency of days with above average irradiances is higher than below average irradiances. Persistence in anomalies is generally low (${\leq}0.36$ autocorrelation coefficient), but higher for DNA- than phytoplankton photosynthesis-weighted irradiances due to their higher correspondence to stratospheric ozone. Cloudiness and other factors with small wavelength dependence (e.g. aerosols and albedo) are highly correlated with UVR anomalies at low latitudes ($24-33^{\circ}$ S); ozone correlates higher at high latitudes ($42-54.5^{\circ}$ S). Our results show that organisms in this region deal with several days of excess radiation and fewer, shorter and more intense periods of lower than average radiation. Relief from UVR stress (or higher frequency of days below the climatology) is more prevalent at high latitudes ($54.5^{\circ}$ S). Thus, lower latitudes are more stressful to organisms not only because of higher average UVR irradiance but also for the higher frequency of days above the climatology.