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Том 27, № 1 (2018)

Article

Fractal Cylindrical Fracxicon

Khonina S., Volotovskiy S.

Аннотация

The paper presents the results of a numerical study of a new optical element–the fractal fracxicon. The fracxicon is an element whose phase function is a fractional power of spatial coordinates. With the power of phase function being less than two (sub-linearly chirped), a fracxicon corresponds to a fractional axicon and provides self-focusing features similar to mirror/specular Airy beams. When the power is greater than two (super-linearly chirped), a fracxicon corresponds to a generalized lens and provides self-focusing, which is faster and sharper than a lens provides. A fractal fracxicon generates beams that exhibit such properties as self-similarity and self-focusing. This type of optical elements can be used as versatile tools in the field of optical micromanipulation and data encoding.

Optical Memory and Neural Networks. 2018;27(1):1-9
pages 1-9 views

Dependence of Critical Parameters of 2D Ising Model on Lattice Size

Kryzhanovsky B., Malsagov M., Karandashev I.

Аннотация

For the 2D Ising model, we analyzed dependences of thermodynamic characteristics on number of spins by means of computer simulations. We compared experimental data obtained using the Fisher-Kasteleyn algorithm on a square lattice with N = l × l spins and the asymptotic Onsager solution (N → ∞). We derived empirical expressions for critical parameters as functions of N and generalized the Onsager solution on the case of a finite-size lattice. Our analytical expressions for the free energy and its derivatives (the internal energy, the energy dispersion and the heat capacity) describe accurately the results of computer simulations. We showed that when N increased the heat capacity in the critical point increased as lnN. We specified restrictions on the accuracy of the critical temperature due to finite size of our system. Also in the finite-dimensional case, we obtained expressions describing temperature dependences of the magnetization and the correlation length. They are in a good qualitative agreement with the results of computer simulations by means of the dynamic Metropolis Monte Carlo method.

Optical Memory and Neural Networks. 2018;27(1):10-22
pages 10-22 views

Fuzzy Analysis and Deep Convolution Neural Networks in Still-to-video Recognition

Savchenko A., Belova N., Savchenko L.

Аннотация

We discuss the video classification problem with the matching of feature vectors extracted using deep convolutional neural networks from each frame. We propose the novel recognition method based on representation of each frame as a sequence of fuzzy sets of reference classes whose degrees of membership are defined based on asymptotic distribution of the Kullback–Leibler information divergence and its relation with the maximum likelihood method. In order to increase the classification accuracy, we perform the fuzzy intersection (product triangular norms) of these sets. Experimental study with YTF (YouTube Faces) and IJB-A (IARPA Janus Benchmark A) video datasets and VGGFace, ResFace and LightCNN descriptors shows that the proposed approach allows us to increase the accuracy of recognition by 2–6% comparing with the known classification methods.

Optical Memory and Neural Networks. 2018;27(1):23-31
pages 23-31 views

Discrete Representation of Holograms of Halftone Objects

Filippov I., Kovalev M., Krasin G., Odinokov S., Ruchka P., Stsepuro N.

Аннотация

A comparative analysis of methods for calculating digital holograms based on discrete transformations for various types of objects is presented. Qualitative results of synthesis and reconstruction of holograms are obtained, as well as examples of the realization of some of the types of holograms considered. The quality of digital hologram recovery is estimated by calculation of signal-tonoise ratio (SNR) and root-mean-square error (RMSE).

Optical Memory and Neural Networks. 2018;27(1):32-39
pages 32-39 views

High-Speed Multisensor Method of Measurement, Control and 3D Analysis of Complex Object Shapes in Production Environment

Savin V., Stepanov V., Shadrin M.

Аннотация

In this research, methods and algorithms of calibration of optical schemes and elements of a triangulation laser system were analyzed. Recommendations for precision enhancement of an optical system are further used in improving parameters of a laser and reverse engineering they are also implemented in engineering of a high-speed linear laser 3D scanner.

Optical Memory and Neural Networks. 2018;27(1):40-45
pages 40-45 views

Optical Analysis of Implants from the Dura Mater

Timchenko P., Timchenko E., Volova L., Nosova M., Frolov O., Kiyko N., Volov N.

Аннотация

Presents the results of the spectral analysis using the method of Raman scattering spectroscopy (RS) of dura mater (DM) samples, manufactured by technology “Lioplast” practised in the clinic in the area of atrophic processes at multiple gum recessions. The method of Fourier deconvolution and selection of the spectral profile by the method of least squares is used to increase the resolution and informativity of the spectrum. With the help of mathematical methods of separation of overlapping spectral contours, the main bands corresponding to the main components of the implants were found: amides, proteins, glycosaminoglycans, DNA/RNA. On the basis of the two-dimensional spectral analysis, the coefficients reflecting the composition of the dura mater with different methods of its treatment were introduced. It has been established that Raman spectroscopy can be used to evaluate implants from the dura mater.

Optical Memory and Neural Networks. 2018;27(1):46-52
pages 46-52 views

Multiple Filamentation Various Diameters Laser Beams at a Atmospheric Path

Apeksimov D., Zemlynov A., Iglakova A., Kabanov A., Kuchinskaya O., Matvienko G., Oshlakov V., Petrov A.

Аннотация

Results of experiments on controlling the position and length of the filamentation zone of femtosecond laser pulses in atmospheric path length 150 m using different initial spatial focusing and defocusing. The obtained distribution of filaments along the filamentation domain, measured dependence the length of the filamentation zone of the numerical aperture of the beam, its initial radius and pulse power. Registered emission spectra of the illumination targets of various materials, placed in the filamentation zone remote from the radiation source.

Optical Memory and Neural Networks. 2018;27(1):53-57
pages 53-57 views

The Properties Difference of the Composites Based on the Float-Glass with the Bilateral Sol-Gel Films Studies

Atkarskaya A., Kabanov S., Privalov V., Shemanin V.

Аннотация

It has been determined the influence of the substrate from the float-glass parties on the composites with the bilateral nano film main optical characteristics (the refractive index and the reflectivity coefficient) and the nano film thickness as the nano photonics element. The composites and the nano films these characteristics dependences on the parties of the float-glass substrate (gas and tin) on which one or double-layers film was drawn at the speed values of 3.8, 5.8 and 17.3 mm/s have been studied. These studies show that the composites properties and the nano films thickness were sensitive both to the film drawing speed and to the float-glass parties (gas or tin) on which these nano films were drawn. These properties of the composites with the nano films drawn from the nitrate and chloride sols are different from each other.

Optical Memory and Neural Networks. 2018;27(1):58-64
pages 58-64 views

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