Number № 20

Mel’nik O.E.¹, Ph.D. of Pedagogic Sciences; Shimov D.R.¹; Artemenko E.V.^2
1FSBEE HE Saint-Petersburg university of State fire service of EMERCOM of Russia
²FSBEE HE Siberian Fire and Rescue Academy EMERCOM of Russia

In the article, VR technologies are considered as a tool for organizing practice-oriented teaching of children and adults to the basics of life safety and actions in emergency situations. An overview of foreign practice of using VR in safety pedagogy and in the implementation of the Digital Rescuer project in Russian schools is presented. The advantages of VR technologies in comparison with the traditional approach in organizing practical training of the population on safety measures are characterized. A conclusion is made about the prospects of using VR technologies in the practical preventive activities of the Ministry of Emergency Situations of Russia and the educational process on the basics of life safety.

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Belousov V.N., Ph.D. of Agricultural Sciences; Pismensky N.V., Ph.D. of Engineering Sciences; Ryzhov A.A.
FSBEE HE “Academy of Civil Protection EMERCOM of Russia”

The article considers problematic issues related to the procedure for assessing the effectiveness of the implementation of the state policy of the constituent entities of the Russian Federation in the field of civil defense. The main problem, according to the authors, is the lack of scientifically grounded and normatively approved indicators that would characterize the effectiveness of the civil defense measures implemented by the subjects in the complex. As a way out of this situation, it is proposed to use a comprehensive indicator of the effectiveness of the implementation of the state policy of a constituent entity of the Russian Federation in the field of civil defense.

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Babenyshev S.V., Ph.D. of Physical and Mathematical Sciences; Malyutin O.S.; Materov E.N., Ph.D. of Physical and Mathematical Sciences
FSBEE HE Siberian Fire and Rescue Academy EMERCOM of Russia

The main purpose of the article is to give a review of some capabilities of time series analysis and modeling using examples of predicting the number of fires and the level of river flooding using modern machine learning methods in the R programming language environment. The peculiarity of this simulation is the possibility of using several models at the same time, which allows to automatically select models with the lowest bias errors.

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Gavrishev A.A.; Osipov D.L., Ph.D. of Engineering Sciences, Docent
FSAEI HPE NCFU

The analysis of known approaches for radio frequency detection of communication channels of unmanned aerial vehicles (UAVs) based on the use of radio signals with frequency-hopping spread spectrum (FHSS) is carried out. It is established that in most studies methods, based on energy indicators are mainly used to detect radio signals of this type. It is indicated [21-24] that energy indicators give underestimated indicators for detecting radio signals and, thus, complicate the task of detecting them. As an alternative solution to the problem of detecting radio signals, it is proposed to use well-known methods based on nonlinear dynamics, in particular, the Hurst exponent and BDS-statistics. It is shown that the means of radio-frequency detection of UAV control channels with FHSS, which will be based on the use of the Hurst exponent, will potentially not be able to detect them. It is shown that the means of radio-frequency detection of UAV control channels with FHSS, which will be based on the use of BDS-statistics, will potentially be able to detect them. The results obtained are of rather important practical significance, as they potentially allow, with appropriate adaptation, to perform more effective radio frequency detection of UAVs using radio signals with FHSS.

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Sergeev I.Yu.¹, Ph.D. of Engineering Sciences; Valuev N.P.², Holder of an Advanced Doctorate (Doctor of Science) in Engineering Sciences, Docent
¹FSBEI HE Siberian Fire and Rescue Academy EMERCOM of Russia
²Civil Defence Academy of EMERCOM of Russia

Methods definition of dynamic radiation control parameters in surfaces of rivers and large water bodies is described. Methodsbased on application of highly sensitive dosimetric systems registering γ-radiation of water in the process of system movement along the water area. Methods allows detecting the exit of radionuclides from the zone of their location and runoff, to forecast and trace the paths of their movement in the surfaces of rivers, detecting radioactive source on the shore, in ports, ships in water area.

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