| bibtype |
J -
Journal Article
|
| ARLID |
0392551 |
| utime |
20240103202556.7 |
| mtime |
20130730235959.9 |
| WOS |
000327757200004 |
| SCOPUS |
84879995946 |
| DOI |
10.1080/13873954.2013.789064 |
| title
(primary) (eng) |
Centralized Bayesian reliability modelling with sensor networks |
| specification |
| page_count |
12 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0255973 |
| ISSN |
1387-3954 |
| title
|
Mathematical and Computer Modelling of Dynamical Systems |
| volume_id |
19 |
| volume |
5 (2013) |
| page_num |
471-482 |
|
| keyword |
Bayesian modelling |
| keyword |
Sensor network |
| keyword |
Reliability |
| author
(primary) |
| ARLID |
cav_un_auth*0242543 |
| name1 |
Dedecius |
| name2 |
Kamil |
| 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*0263972 |
| name1 |
Sečkárová |
| name2 |
Vladimíra |
| 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 |
SVV-265315 |
| agency |
GA MŠk |
| country |
CZ |
| ARLID |
cav_un_auth*0291444 |
|
| project |
| project_id |
7D12004 |
| agency |
GA MŠk |
| ARLID |
cav_un_auth*0291242 |
|
| abstract
(eng) |
The article concerns reliability estimation in modern dynamic systems. It introduces a novel approach, exploiting a network of several independent spatially distributed sensors, actively probing the monitored system. A dedicated network element - the fusion centre - is then responsible for processing the information provided by sensors and evaluation of final reliability estimate. On the base of computational abilities of sensors, we propose two conceptually different reliability estimation scenarios: (1) the computationally cheaper dummy sensors scenario, in which the sensors send raw data to the fusion centre; and (2) the smart sensors scenario, when the data are processed locally by sensors, and the fusion centre subsequently merges their resulting information. Bayesian paradigm was adopted for consistent information representation, its adaptive dynamic processing and fusion. |
| reportyear |
2014 |
| RIV |
BD |
| num_of_auth |
2 |
| mrcbC52 |
4 A 4a 20231122135631.6 |
| permalink |
http://hdl.handle.net/11104/0221520 |
| mrcbT16-e |
COMPUTERSCIENCEINTERDISCIPLINARYAPPLICATIONS|MATHEMATICSAPPLIED |
| mrcbT16-f |
0.811 |
| mrcbT16-g |
0.088 |
| mrcbT16-h |
5.III |
| mrcbT16-i |
0.00100 |
| mrcbT16-j |
0.377 |
| mrcbT16-k |
233 |
| mrcbT16-l |
34 |
| mrcbT16-s |
0.426 |
| mrcbT16-z |
ScienceCitationIndexExpanded |
| mrcbT16-4 |
Q2 |
| mrcbT16-B |
24.746 |
| mrcbT16-C |
47.046 |
| mrcbT16-D |
Q3 |
| mrcbT16-E |
Q3 |
| arlyear |
2013 |
| mrcbTft |
\nSoubory v repozitáři: dedecius-0392551.pdf |
| mrcbU14 |
84879995946 SCOPUS |
| mrcbU34 |
000327757200004 WOS |
| mrcbU63 |
cav_un_epca*0255973 Mathematical and Computer Modelling of Dynamical Systems 1387-3954 1744-5051 Roč. 19 č. 5 2013 471 482 |
|