bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multivariate analysis of tissues Raman spectra using regression methods
Authors: Lykina A A , Artemyev D N , Kukushkin V I , Bratchenko I A , Avraamova S T , Aleksandrov N S 
Published: November 2019

Abstract
This work is devoted to the study of intact and tumor kidney tissues spectral properties. 532 nm, 785 nm, and 1064 nm lasers were used to stimulate Raman spectra and autofluorescence. Visually and morphologically unchanged tissues of human kidneys as well as tumor tissue were examined. Raman spectra have specific spectral markers for each tested subject. The analysis of the spectral characteristics was carried out with using projection on latent structures method to highlight the spectral features between the tissues.
Forming of three-dimensional optical fields consistent with the superposition of scalar spherical harmonics
Authors: Monin E O 
Published: November 2019

Abstract
Spherical functions are the angular part of the family of orthogonal solutions of the Laplace equation written in spherical coordinates. They are widely used to study physical phenomena in spatial domains bounded by spherical surfaces and in solving physical problems with spherical symmetry. In this paper, the superposition equation of spherical harmonics satisfying the Helmholtz equation was obtained. Modelling and visualization of three-dimensional fields, coordinated with separate spherical harmonics and their superpositions, was carried out.
Features of the transmission of microwave signals at offshore facilities
Authors: Pchelkin G A , Fadeenko V B , Davydov V V 
Published: November 2019

Abstract
In the article the capabilities of microwave signals transmission by fiber-optic communication lines on marine objects is considered. The features of constructing a scheme for transmitting a microwave signal from a passive antenna over a fiber-optic communication line are established. The technical solutions for optimizing the design of a fiber-optic communication line are proposed. The results of experimental investigations of fiber-optic communication lines parameters are presented.
A complex study of the structure “carbon nanotubes - silicon substrate” photoconductivity mechanism
Authors: Tripathi N , Pavelyev V S , Mezhenin A V , Sovetkina M A , Rymzhina A R 
Published: November 2019

Abstract
The types of optical radiation photodetectors have been considered according to the principle of action. A theoretical and experimental study of the electron generation mechanism in the structure “carbon nanotubes – silicon substrate” under the influence of the far infrared range radiation has been carried out. It has been established that such structures are thermal radiation receivers of the bolometric type.
Features of the construction of the registration scheme of optical images in an autonomous quantum magnetic field sensor
Authors: Logunov S E , Davydov R V , Vysotsky M G , Dudkin V I , Yu Rud’ V 
Published: November 2019

Abstract
The article describes the design of an autonomous quantum sensor for detecting variations of the magnetic field. The features of the regulation of the diffraction pattern of laser radiation using a ferrofluid cell placed in a uniform constant magnetic field are established. The optimal parameters for the design of the ferrofluid cell, magnetic fluid and laser radiation were determined. The experimental results of the study of the variation of the magnetic field from moving marine objects are presented.
Development of a software package for modeling and analysis of light diffraction on periodic structures of nanophotonics by the rigorous coupled-wave analysis
Authors: Komarov I S , Bezus E A 
Published: November 2019

Abstract
We discuss the development of a software package, which enables simulating and analyzing the diffraction of a plane electromagnetic wave on a multilayer diffraction grating with. The main functional requirements to the system are formulated. The architectural solution of the implemented software including the main functional and logical layers of the system with the specified methods of their interaction is described. The method allowing one to model light diffraction on multilayer diffraction structures comprising homogeneous layers and diffraction gratings with one-dimensional periodicity is implemented. A polarizing reflector consisting of a diffraction grating on a Bragg grating (a one-dimensional photonic crystal) consisting of a small number of layers is designed and investigated. The optimal parameters of the structure are found for a given reflectance criterion. The parameter ranges satisfying the chosen criterion are investigated. The influence of changes in the geometric parameters of the structure on the reflector performance is discussed. The designed software package is promising for the design of grating-based nanophotonic filters and sensors.
In vivo Raman and autofluorescence study of the pigmented skin neoplasms
Authors: Khristoforova Y , Bratchenko I , Bratchenko L , Konovalov S , Andreeva A , Moryatov A , Kassirov D , Orlov A , Kozlov S , Zakharov V P 
Published: November 2019

Abstract
This paper studies classification of the pigmented skin neoplasms on the basis of the spectral Raman and autofluorescence features. The spectra registration was performed by means of the portable spectroscopic system with 785 nm laser radiation. The analysis of the spectral data was carried out using a projection on the latent structure with linear discriminant analysis. Using regression analysis the correlations between Raman and autofluorescence data were estimated. The variable importance in projection analysis allows one to find out important spectral information to differ spectra of the different neoplasm types. The use of combination of the Raman/autofluorescence data and projection method made it possible to classify pigmented skin neoplasms with 81% accuracy.
Analysis of the resonance characteristics of surface plasmon polariton modes at air-metal interfaces in the ultraviolet, visible and infrared regions
Authors: Nesterenko D V , Pavelkin R A , Hayashi S , Soifer V A 
Published: November 2019

Abstract
Excitation of surface plasmon polariton (SPP) modes results in the appearance of resonance line shapes observed in the attenuated total reflection spectra of layered structures in the Otto or Kretschman configurations. The sensitivity of the resonance characteristics of the propagating modes to changes in optical characteristics of the environment is widely used in sensor devices to determine qualitative and quantitative changes in the environment, as well as low concentrations of substances adsorbed on the surface. In the present work, we analyze the resonance characteristics of SPP modes based on the optical properties of plasmonic materials. Interfaces of metal-dielectric structures support the propagation of SPP modes. Estimation of the dispersion dependences of the propagation constant of the SPP mode, sensitivity to changes in external conditions, enhancement of the near field on the surface is carried out within the electromagnetic theory based on approximations of asymmetric shapes of spectral resonance lines of SPP by Fano formulas in the ultraviolet, visible, and infrared regions.
The dependence of the image edge detection directivity by Brewster effect on the gradient of inhomogeneities of objects
Authors: Nesterenko D V , Lyubarskaya A V , Kolesnikova M D , Soifer V A 
Published: November 2019

Abstract
Optical image edge detection for amplitude and phase objects can be performed using Brewster effect. We demonstrate experimentally that the direction of the amplitude and phase gradients in the objects affects the image transformation directivity. In the theoretical study, we consider transfer function for in-plane and out-of-plane rays. The results of this work can be used for design and optimization of optical systems for image and information processing.
Polarization-dependent orbital angular momentum flipping in fibers with acousto-optic interaction
Authors: Yavorsky M A , Vikulin D V , Barshak E V , Lapin B P , Alexeyev C N 
Published: November 2019

Abstract
In this paper we consider the evolution of linearly polarized optical vortices in circular optical fibers with a propagating fundamental flexural acoustic wave. A new polarization-dependent mode conversion is found out, in which the sign of the topological charge (and orbital angular momentum) of the outgoing vortex beam is governed by the direction of the incident linear polarization. This effect can be used for implementing polarization-controlled orbital angular momentum flipping. This paves the way to implementation of the all-fibre stable controlled-NOT gate, in which the linear polarization carries the control qubit and the topological charge carries the target. Such a gate is able to produce optical beams with entanglement between polarization and orbital degrees of freedom in regime of linear optics. Yet, such orbital angular momentum controlling should be useful in micromechanics, classical and quantum information encoding, and classical simulation of quantum algorithms.
Development of virtual roughness comparators
Authors: Abulkhanov S R , Poletaev S D 
Published: November 2019

Abstract
The surface roughness is inspected visually or by the contact profiling method. In both cases, actual roughness comparators with the preset roughness parameters (Ra) are used. The reference surface is created by various technological impacts. Technological processes are influenced by random factors; therefore, the reference surface has the deviations of the Ra parameter from the declared value. We suggest to control the roughness based on its image. In this case, the data available is not enough to determine the standard roughness parameters. We introduce the rough surface parameter ζ, which uses the standard parameters Ra and Rz.
We studied five images of roughness comparators made on glass using a New View 7300 white light interferometer. We determined the nominal value of the roughness parameter ζ for each roughness comparator and for each line of the rough surface images of 5 comparators. We considered the images of the reference surfaces as an indirect measurement of microrelief heights. We generated a reference rough surface based on the image of the actual surface of the roughness comparator. We used Spearman correlation coefficient to identify the most characteristic fragments of the reference rough surface. The virtual rough surface comparator created by us allows to increase the objectivity of visual control of rough surfaces and measure the similarity of the target and the reference rough surfaces.
Optical inspection device for the inner surface of pipe ends
Authors: Abulkhanov S R , Ivliev N A 
Published: November 2019

Abstract
The inner surface of the holes in the ends of tubing pipes used in oil production is most prone to deterioration. The mechanical loads combined with corrosion lead to the formation of pits on the surface of the holes. A tubing burst leads to significant financial, technological and environmental losses. The existing methods of non-destructive inspection do not allow to measure the depth of a corrosion pit (cavity) on the surface of the pipe end hole. We propose the construction of the device for monitoring the pipe inner surface closely adjacent to its end. The device uses the optical principle of monitoring the presence and the depth of corrosion pits on the surface of the tubing pipe end hole. The device uses structured lighting of the ring of the hole surface. Judging by the out-of-roundness of the light-shadow border, we evaluated the depth of the defects on the hole surface. The device was tested and calibrated on a special stand, where the depth of the cavity was changed with a step of 30 microns. The reflected light flow from the target surface was recorded by a video camera. Tests of the device showed its resistance to the disturbances in the form of stray lighting, electromagnetic interference, vibrations and dirt in the room (no special operating conditions are required). The length of the corrosion pit does not affect the sensitivity of the device. If the material of the controlled tubing changes, the device shall be calibrated. For a 4 mm long defect, the depth of the corrosion pit up to 1.5 mm can be detected. Preliminary calibration of the device allows to reduce the measurement errors caused by the technological and operational reasons. The developed device is able to detect the presence of a corrosion pit on the hole surface. The accuracy of measuring the depth of the defect on the pipe surface is not less than 150 microns, which is acceptable for oil pipe repair plants. The device can be operated manually and can be built into an automated control system. The monitoring results can be documented. The developed device can be used in other areas: inspection of holes made in reinforced concrete structures, inspection of surface of the holes of chemical production pipes, GTE fuel system, etc.
Laser technologies in the formation of harmonic lenses microreliefs
Authors: Danilov V A 
Published: November 2019

Abstract
Briefly describes the technology of forming high microreliefs in the context of the scientific path of a senior researcher at the Institute of Image Processing Systems of the Russian Academy of Sciences Candidate of Technical Sciences Oleg Yuryevich Moiseyev - a unique specialist in the technology of diffraction computer optics, recording optical micro- and nanorelief.
Reducing dimension of parametric space based on the approximation of components for interpolation of multidimensional signals
Authors: Gashnikov M V 
Published: November 2019

Abstract
In this paper, we address the problem of parametric space dimension reduction in the interpolation of multidimensional signals task. We develop adaptive parameterized interpolation algorithms for multidimensional signals. We perform a dimension reduction of the parameter space to reduce the complexity of optimizing such algorithms. The dependences of the samples inside the signal sections and between the signal sections are taken into account in various ways to reduce the dimension. We consider the dependencies between the signal sections through the approximation algorithm for the sections. We take into account the sample dependencies inside sections due to an adaptive parameterized interpolation algorithm. As a result, we solve the optimization problem of an adaptive interpolator in the parameter space of lower dimension for each signal section separately. To study the effectiveness of adaptive interpolators, we perform computational experiments using real-world multidimensional signals. Experimental results showed that the proposed interpolator improves the efficiency of the compression method up to 10% compared with the prototype algorithm.
Spatial interpolation methods for spectral-spatial remote sensing image super-resolution algorithm based on gradient descent approach
Authors: Belov A M , Denisova A Y 
Published: November 2019

Abstract
The paper presents an investigation of the influence of spatial interpolation methods on the quality of the image obtained as a result of the spectral-spatial remote sensing image super-resolution reconstruction based on the gradient descent approach. As an example of the super-resolution method, we applied our earlier developed super-resolution image reconstruction algorithm. The algorithm provides the minimization of error of the observation model that connects the input low-resolution images with the target high-resolution image. The iterations of the gradient descent method are performed in the high-resolution spectral and spatial coordinates grid. For this reason, the spatial interpolation operator is added in the observation model. It is evident that spatial interpolation affects both the quality of the reconstructed image and the algorithm convergence rate. The objective of our research was to define the most appropriate spatial interpolation method. The paper presents the results of the spectral-spatial super-resolution image reconstruction using the following spatial interpolation methods: bilinear, bicubic, sinc, and nearest neighbour interpolation. We compare these implementations in terms of such image quality indicators as the root mean square error of the estimated high-resolution image, the algorithm convergence rate, and the presence of textural and colour artefacts as well.
Approximation of the road segments travel time using Levy distributions in the reliable shortest path problem
Authors: Agafonov A A , Myasnikov V V , Maksimov A I 
Published: November 2019

Abstract
The current trend towards an increase in the number of vehicles, especially in large cities, as well as the unavailability of the existing road infrastructure to distribute modern traffic flows leads to a higher congestion level in transportation networks. This problem emphasized the relevance of navigation problems. Despite the popularity of these problems, many existing commercial systems consider only deterministic networks, not taking into account the time-dependent and stochastic properties of traffic flows. In this paper, we consider the reliable shortest path problem in a time-dependent stochastic transportation network. The considered criterion is maximizing the probability of arriving at the destination point on time. We consider the base algorithm for the stochastic on-time arrival problem, which has a computationally complex convolution operation for calculating the arrival probability. We propose to use parametrically defined Levy stable probability distributions to describe the travel time of road segments. We show, that the use of stable distributions allows us to replace the convolution operation with the distribution value, and significantly reduces the execution time of the algorithm. Experimental analysis has shown that the use of stable distributions allows approximating the exact value of the arrival probability at a destination with a low approximation error.
Technique to model the movement of the scene using image sequence
Authors: Tashlinskii A G , Kovalenko R O , Smirnov P V , Suetin M N 
Published: November 2019

Abstract
The paper proposes a technique to model the movement of a scene based on backward stochastic gradient pixel-by-pixel estimation of the deformation field. Calculation of the moving object’s area is considered as the task of testing the hypothesis that the image grid nodes belong to the area of motion. The paper presents the estimated two kinds of errors: false positive and false negative. The obtained results are compared with the results of the MVFAST algorithm. The increase in the signal-to-noise ratio of the image of a moving object is achieved by combining the frames of the video sequence under study. To combine conjugate points, high-speed recurrent algorithms are used that do not require a priori information. The paper presents an example of estimation of object’s trajectory parameters using the technique. The interframe geometric deformations of the video sequence are used as intermediate parameters of the trajectory.
Segmentation of 3D FIB-SEM data with pore-back effect
Authors: Reimers I A , Safonov I V , Yakimchuk I V 
Published: November 2019

Abstract
Digital rock physics is used for the investigation of oil and gas reservoirs. It involves various mathematical simulations on a digital representation of a rock sample, which is usually obtained with imaging techniques. Focused ion beam scanning electron microscopy (FIB-SEM) tomography provides high-resolution images of sequential layers of a sample, and segmentation of these images is a key stage in the construction of 3D digital rock. Conventional segmentation methods are not applicable for FIB-SEM images due to specific artifacts such as the pore-back effect. We propose a new segmentation algorithm that relies on the marker-controlled watershed, variance filter and morphological operations. The results are validated with the use of manually labelled ground truth data. Furthermore, we develop a new metric for evaluation of segmentation quality. This metric is based on analysis of segmented regions and, in the case of porous media, provides more reliable evaluation than pixel-wise measures.
Shadow detection on color images
Authors: Kurbatova E E , Lyalina V A 
Published: November 2019

Abstract
The shadow areas cause significant problems in objects recognition and classification applications. The shadows have uniform properties in some colour spaces. Thus, the shadow detection can be effectively done by applying the threshold processing. This paper proposes a simple method to detect shadows in images using the combination of two components from different colour spaces. The B component of LAB colour space is used to detect homogenous areas using contour segmentation algorithm. The method uses the V component of HSV colour space to decide whether the obtained areas (the result from the segmentation stage) are shadowed or not. This stage is done using the mean value of the V component for these areas and subsequent thresholding based on Otsu’s method. The experimental results show that the proposed approach can get accurate detection results like the state-of-art-methods, while it is more stable for the difference of characteristics of initial images.
Natural and revitalized grassy ecosystems as biodiversity refuges: on the abilities of remote sensing for their detection and study
Authors: Bavrina A Y , Denisova A Y , Kavelenova L M , Korchikov E S , Kuzovenko O A , Makarova Y V , Prokhorova N V , Terentyeva D A , Fedoseev V A 
Published: November 2019

Abstract
The natural and revitalized on the place of former fields grassy ecosystems can be the refuges (places of conservation in natural conditions) for many types of rare plant species. Such ecosystems are of great interest for the environment exploration and management activities planning over many countries including EU and USA. Samara region territory demonstrates the residual nature of grassy ecosystems as a result of intensive agricultural exploration of virgin grasslands, located here at the past. Consolidative usage of remote sensing data and ground-based surveys is the common practice nowadays. This paper describes the possibilities of high-nature value grasslands classification in Samara Region using intra-annual time series of multispectral remote sensing data of medium spatial resolution with the use of spotted ground-based surveys. Investigations engage the training set generation for the large natural vegetation communities with ground-based survey optimization and include the classification results for two vast grassland objects with protected status.
A new watermarking method for vector map data: a study on information capacity of the carrier image
Authors: Vybornova Y D , Sergeyev V V 
Published: November 2019

Abstract
The paper presents a study of the watermarking method for vector map data based on the cyclic shift of the vertex list of polygonal objects. We propose a method modification to provide an accurate authentication procedure, as well as to enhance the method robustness against the map contents alteration. The main idea of the improved method is to use a noise-like image as a secondary container for a watermark represented in the form of a bit vector. An algorithm for the construction of a carrier image on the basis of the watermark sequence, as well as an algorithm for extraction of such a sequence, are given. An experimental study on the information capacity of the carrier image and its robustness against distortions simulating the embedding into real cartographic data, such as quantization and noise addition, has been carried out.