| bibtype |
V -
Research Report
|
| ARLID |
0381828 |
| utime |
20240103201341.6 |
| mtime |
20121031235959.9 |
| title
(primary) (eng) |
Bayesian Methods for Optimization of Radiation Monitoring Networks |
| publisher |
| place |
Praha |
| name |
UTIA AV CR, v.v.i |
| pub_time |
2011 |
|
| specification |
| page_count |
16 s. |
| media_type |
pdf |
|
| edition |
| name |
Research Report |
| volume_id |
2315 |
|
| keyword |
radiation monitoring |
| keyword |
UAV |
| keyword |
data assimilation |
| author
(primary) |
| ARLID |
cav_un_auth*0101207 |
| name1 |
Šmídl |
| name2 |
Václav |
| full_dept (cz) |
Adaptivní systémy |
| full_dept (eng) |
Department of Adaptive Systems |
| department (cz) |
AS |
| department (eng) |
AS |
| institution |
UTIA-B |
| full_dept |
Department of Adaptive Systems |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0228606 |
| name1 |
Hofman |
| name2 |
Radek |
| full_dept (cz) |
Adaptivní systémy |
| full_dept |
Department of Adaptive Systems |
| department (cz) |
AS |
| department |
AS |
| institution |
UTIA-B |
| full_dept |
Department of Adaptive Systems |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| project_id |
VG20102013018 |
| agency |
GA MV |
| country |
CZ |
| ARLID |
cav_un_auth*0265869 |
|
| abstract
(eng) |
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. |
| reportyear |
2013 |
| RIV |
DG |
| num_of_auth |
2 |
| mrcbC52 |
4 O 4o 20231122135237.4 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0212208 |
| arlyear |
2011 |
| mrcbTft |
\nSoubory v repozitáři: 0381828.pdf |
| mrcbU10 |
2011 |
| mrcbU10 |
Praha UTIA AV CR, v.v.i |
|