Parametric down conversion frequency-angle spectrum modeling

Morozova, A. N.; Панов, А. Д.; Pruchkina, A. A.; Rytikov, G. O.; Tscherbina, O. A.

doi:10.1109/icctpea.2014.6893314

Cited by 1 publication

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“…But the additional risks of high degree informatisation in industry and agriculture should be taken into account [Djioeva et al, 2019;Dzhioeva et al, 2018;Dzhioeva & Tehov, 2017]. We propose to use the encryption of control signals using a two-component digital key formed by the developed model of a controlled optical random number generator as a reliable way to increase the degree of information protection in the designed specialised telecommunication networks intended for the remote control of the robotised agricultural production [Rytikov, 2007;Morozova et al, 2014;Iskhakov et al, 2008].…”

Section: Introduction Motivationmentioning

confidence: 99%

Polarisation-optical model of a controlled random number generator

et al. 2022

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The subject of the paper is an original model of a tunable optical random number generator. The purpose of the article is to analyse the possibilities of using the proposed model to ensure the protection of the control signals in the projected telecommunication management system of the robotized agro-industrial complex of the Republic of South Ossetia.The research was carried out by methods of mathematical and information-logical modeling. The main results of the study are the information-logical model of the hardware implementation prototype, the descriptive mathematical model of its functioning and the obtained dependences of the quantitative characteristics of the generated random numbers statistical distributions on the main control parameter of the experimental setup.These results can be used in the design and the operation of the remote production facilities monitoring and management telecommunication systems’ components. The possibilities of prototype creating and functioning were demonstrated by visualising the schematic chart of the experimental equipment and by the quantitative estimates of “one” and “zero” signals observation probabilities under the different polarisation rotator orientations relative to the plane of the optical signals detecting system.

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Section: Introduction Motivationmentioning

confidence: 99%