Hydrogen Sensor on the Base of Nanocrystalline SiC Films

Семенов, А. А.; Dulfan, Hanna; Lubov, D. V.; Biletskyi, Ihor; Teliurа, N.

doi:10.1007/978-3-031-20141-7_38

Cited by 1 publication

(1 citation statement)

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“…they are too wide to be considered one-dimensional and too narrow to be considered two-dimensional, i.e. their dimension lies between one and two) [4][5][6][7][8][9][10].…”

Section: Problem Analysis and Recommendationsmentioning

confidence: 99%

Objects Camouflage Possibilities Analysis in the Modern Military Conflicts Conditions

Biletskyi,

Dulfan,

Piddubna

et al. 2023

LEPE

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The article analyses the methods of camouflage used in modern military conflicts. The article gives a historical overview of camouflage of military equipment and personnel since the beginning of the twentieth century. The mathematical and physical principles that should be taken into account in the manufacture of camouflage nets are discussed, the requirement for which is the difficulty in recognising and differentiating between an artificial surface and real terrain. The mathematical model of a camouflage net pattern is a fractal, a self-similar scale-invariant object of noninteger topological dimension. From the point of view of physics, the fractal dimension is a statistical value that demonstrates how densely a fractal fills a space. This means, in particular, that by dividing a photo of a real surface into cells and then counting the number of black cells in relation to all of them (in the simplest case of a photo of a winter forest, for example), you can find out the average indicator of the landscape's scale similarity, which can be reproduced on a camouflage grid. In the context of active military operations caused by russian aggression, for effective camouflage, it is proposed to use the concepts and methods of fractal geometry in the manufacture of camouflage means, in particular camouflage nets, to maximise the imitation of natural landscapes and structures that will not be easy to recognise.

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“…they are too wide to be considered one-dimensional and too narrow to be considered two-dimensional, i.e. their dimension lies between one and two) [4][5][6][7][8][9][10].…”

Section: Problem Analysis and Recommendationsmentioning

confidence: 99%