Predicting Safety Performance to Control Risk in Military Systems

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F17%3A00311952" target="_blank" >RIV/68407700:21260/17:00311952 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/MILTECHS.2017.7988791" target="_blank" >http://dx.doi.org/10.1109/MILTECHS.2017.7988791</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/MILTECHS.2017.7988791" target="_blank" >10.1109/MILTECHS.2017.7988791</a>

Result language
angličtina
Original language name
Predicting Safety Performance to Control Risk in Military Systems
Original language description
This paper deals with research of safety performance predictions to allow improved risk control in military. Safety performance is identified as appropriate tool to establish system-wide information on safety which can serve the decision making process on how to manage safety. The information contributes to better understanding of behavioural patterns in the controlled system and the ability to foresee short-term future can provide key elements for justification of remedial measures. Aviation safety data served the research due to confidentiality restrictions in military. Data deficiencies were addressed by the means of developed simulator. Suitable mathematical models were identified and autoregressive model was selected and applied to predict computed safety performance. At the end, it was possible to validate the model. Remarks on its potential application into real military environment conclude this work.
Czech name
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Czech description
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Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 2017 International Conference on Military Technologies (ICMT)
ISBN
978-1-5386-1988-9
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
392-396
Publisher name
Ministerstvo obrany, Univerzita obrany
Place of publication
Brno
Event location
Brno
Event date
May 31, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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