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Bavizhev M.D.,North Caucasian State Technical University | Bavizhev A.D.,Karachai Cherkess State Technological Academy | Kot N.V.,North Caucasian State Technical University
Optics and Spectroscopy (English translation of Optika i Spektroskopiya) | Year: 2012

The condition of minimal divergence of an atomic beam in a polycapillary system under conditions of laser radiation input into the polycapillary wall is considered. The effect of errors in the microcapillary size on atomic beam divergence is studied. The microcapillary radius ensuring minimal divergence of the atomic beam is optimized with allowance for the quantum character of atomic motion. © Pleiades Publishing, Ltd., 2012. Source


Zhdanova N.V.,North Caucasian State Technical University | Deryabin M.I.,Stavropol State University | Solodunov V.V.,North Caucasian State Technical University
Russian Physics Journal | Year: 2012

Temperature dependence of the intensity of annihilation slowed-down fluorescence is studied for aromatic molecules in frozen n-paraffin solutions. With increasing temperature, regions with increased slowed-down fluorescence intensity are established for molecules expelled to the surface of small crystals of the solvent in the process of its freezing. It is assumed that this effect is caused by the increasing number of annihilating pairs involved in slowed-down fluorescence emission. The number of annihilating pairs increases due to rotation of pairs of triplet molecules with parallel directions of magnetic moments in the position with antiparallel direction of the magnetic moments. © 2012 Springer Science+Business Media, Inc. Source


Tushkanov N.,North Caucasian State Technical University | Nazarov V.,South Russia State Technical University | Kuznetsova A.,South Russia State Technical University | Tushkanova O.,North Caucasian State Technical University
Advances in Intelligent and Soft Computing | Year: 2011

Approaches based on self-learning and self-organization of collective of interacting intellectual agents (sensor channels, units of neural networks structures and others DAI-forming entities) are recently more often used in development of collective recognition and control systems. Approaches to organization of co-learning and mutual learning on the basis of reliability coefficients of sensor data are described. Approach to development of recognizing multi-sensor system on a basis of two-dimensional two-level neural networks is offered. Scheme of multi-unit manipulators control on a basis of neural approach are described. The results are used for development of robotics systems for operation in extreme (underwater) conditions. © 2011 Springer-Verlag Berlin Heidelberg. Source

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