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MODELING OF OBSERVATION IN THE MOUNTAIN TERRAIN DEPENDING ON NUMBER OF SUPERVISORY SYSTEMS

Authors: Bayramov, Azad Agalar oğlu; Sabziev, Elhan Nariman oglu; Nasibov, Yashar Ali оgly;

MODELING OF OBSERVATION IN THE MOUNTAIN TERRAIN DEPENDING ON NUMBER OF SUPERVISORY SYSTEMS

Abstract

The various types of electron-optical supervisory systems (SCS) have been used in the border stations of border zones in the Armed Forces of many countries. The mission of these SCS is to supervise the possible activities of smugglers, the illegal movement of enemy troops, the technics and weapon systems, the frontier intruders. In the paper, there has been offered a method which, on the basis of the developed mathematical model and Geography Information System technology, allows modeling of observation in mountain terrain depending on the number and location of SCS. The developed software module allows: 1) to generate the investigated terrain based on Digital Terrain Elevation Data file, 2) to input the possible observation points and the controlled zone via an interface, 3) to simulate and visualize the observed areas for both single and group observation devices located in the possible observation points. The developed method had been applied to one of the selected terrains of the Azerbaijan Republic and demonstrated efficiency of the offered method. Based on the developed model and GIS technology the visual modeling in mountain terrain depending on a number and a location of the SCS has been carried out.

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Keywords

математическая модель, математична модель, observation, Information theory, система спостереження, supervisory system, 519.633.2, спостереження, моделирование, система наблюдения, программный модуль, modelling, QA76.75-76.765, програмний модуль, software module, наблюдение, Computer software, Q350-390, моделювання, mathematical model

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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gold