Article 4116

Title of the article



Kozlov Andrey Yur'evich, Candidate of engineering sciences, associate professor, sub-department of automation and remote control, Penza State University (40 Krasnaya street, Penza, Russia),

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Background. Mobile video surveillance is used in cases when you need to quickly organize autonomous, in most cases covert, video surveillance. An urgent task is to develop requirements for probabilistic and temporal parameters of operation of mobile surveillance systems in their design, which can be solved only on the basis of mathematical modeling.
Materials and methods. Taking into account the general case of a nonexponential type of periods of the mobile surveillance system being in its states, an operating model, reflecting the nature of relationships between the system states and probabilistic and temporal parameters of its functioning, was based on the theory of semi-Markov processes. Characterization of the mobile video surveillance system functioning in transitional and steady modes was implemented on the basis of solving an optimization problem by successive quadratic programming realized on the Matlab softwar.
Results. The author has suggested an algorithm for determining temporal and probabilistic parameters of the mobile video surveillance system in transitional and steady mode. The algorithm is an iterative procedure for finding conditional and unconditional times, as well as matrices of interval-transition probabilities within a predetermined range of time of operation of the system.
Conclusions. The article proposes a solution to the problem of development of a model of mobile video surveillance system functioning on the basis of the theory of semi-Markov processes. The model was implemented on the Matlab software. Assessment of the adequacy of the developed model allows us to conclude that the model is suitable for solving design problems.

Key words

model, semi-Markov process, Markov process, mobile video surveillance system

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Дата обновления: 01.07.2016 09:41