0381828 20240103201341.620121031235959.9 Praha UTIA AV CR, v.v.i 2011 16 s. pdf Research Report 2315 radiation monitoring UAV data assimilation cav_un_auth*0101207 Šmídl Václav Adaptivní systémy Department of Adaptive Systems AS AS UTIA-B Department of Adaptive Systems Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0228606 Hofman Radek Adaptivní systémy Department of Adaptive Systems AS AS UTIA-B Department of Adaptive Systems Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2012/AS/smidl-bayesian methods for optimization of radiation monitoring networks.pdf VG20102013018 GA MV CZ cav_un_auth*0265869 Release of radioactive material into the atmosphere is the last possible resort of any accident in a nuclear power plant. It is an extremely rare event, however with severe consequences for potentially many people living in proximity of the power plant. Awareness of radiation security has been increased after the Chernobyl accident, and almost every country is now equipped with monitoring network of on-line connected receptors continually measuring radiation levels. Initial configurations of the network were designed by experts using their experience.In this report, we are concerned with local scale modeling of less severe accident in the range of tens of kilometers from the nuclear power plant. Both the stationary and mobile groups will be discussed. The preferred model of uncertainty is the empirical density which will be assimilated with measurements using the sequential Monte Carlo methodology. We will discuss influence of various loss functions. 2013 DG 2 4 O 4o 20231122135237.4 RVO:67985556 http://hdl.handle.net/11104/0212208 2011 Soubory v repozitáři: 0381828.pdf 2011 Praha UTIA AV CR, v.v.i