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This article is cited in 6 scientific papers (total in 6 papers)
Methods of Information Processing and Management
Analysis and Modeling of Position Choice Process for Transportation of the Sufferer on the basis of Bayesian Belief Networks
A. I. Motienkoab, S. M. Makeevc, O. O. Basovc a Pavlov First Saint Petersburg State Medical University
b St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences (SPIIRAS)
c Academy of Federal Security Guard Service of the Russian Federation
Abstract:
The purpose of any rescue and other emergency operations is to save people and assist to sufferers, to localize accidents and eliminate the damage hindering rescue operations, as well as to create conditions for the subsequent recovery works. In the presence of factors that menace life and health of the people carrying out these works (rescuers, firefighters, etc.) there is an objective need for application of the automated robotic means of transportation of a sufferer. A lack of the corresponding methodological and program- algorithmic tools causes a need to model specified means. A model of a transportation position of the sufferer on the basis of Bayesian belief networks is presented in the paper.
Keywords:
robotics; search-and-rescue; human-machine interaction, transportation of the sufferer; first aid; rescue work; emergency; Bayes belief network.
Citation:
A. I. Motienko, S. M. Makeev, O. O. Basov, “Analysis and Modeling of Position Choice Process for Transportation of the Sufferer on the basis of Bayesian Belief Networks”, Tr. SPIIRAN, 43 (2015), 135–155
Linking options:
https://www.mathnet.ru/eng/trspy844 https://www.mathnet.ru/eng/trspy/v43/p135
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Abstract page: | 154 | Full-text PDF : | 96 |
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