bluuebunny/crossref_metadata_2025_split huggingface dataset:
The formation of the Kallawaya language
Authors: Hannß Katja 
Published: November 2019

AbstractIn this paper, I will discuss the question of the formation of the mixed and secret Kallawaya language, spoken by traditional herbalists at Lake Titicaca, Bolivia. The parental languages of Kallawaya are Southern Quechua (Quechua IIC), which provided the grammar, and now-extinct Pukina, which presumably supplied the lexicon. I argue that Kallawaya arose from lexical re-orientation, having been created by Quechua native speakers. As such it does not present an instance of selective replication (Matras 2000). To support this claim, I will discuss lexical, grammatical, and structural evidence. In contrast to what has been claimed byStark (1972), only a small part of the Kallawaya lexicon links to Pukina. Moreover, the Kallawaya grammar is as good as identical to that of Southern Quechua but contains some grammatical markers that do not trace back to Quechua or Aymara. It is the aim of this paper to concentrate on these deviant markers, investigating possible relationships with Pukina. I will show that demonstrated links to Pukina are scarce and that the formation of Kallawaya is better explained as a case of lexical re-orientation.
Knowledge-based terminological e‑dictionaries
Authors: Roche Christophe , Costa Rute , Carvalho Sara , Almeida Bruno 
Published: November 2019

Abstract
The advent of the Semantic Web and of the Linked Data initiative have contributed to new perspectives and
opportunities regarding terminology work. Among them are the double dimension approach and the theoretical perspective of
ontoterminology anchored therein, which explore the synergies resulting from the systematic organisation of both term systems and
concept systems. By doing so, they provide a theoretical and methodological foundation underlying the creation of knowledge-based
terminological products that can support the conception and development of different types of e‑dictionaries. Within that scope,
and based on examples pertaining to two different subject fields, namely endometriosis and Islamic archaeology, this article aims
to propose a framework for the creation of a terminological e-dictionary, defined as a reference resource in a specific domain
that gathers, structures and describes linguistic data in a systematic way in one, two or more languages, in order to define
concepts that are denoted by terms.
Orthography matters!: the ideologies, insecurities and global politics of the1990 Portuguese Language Orthographic Agreement
Authors: Washington Adrienne R. 
Published: November 2019

ABSTRACTThis paper explores linguistic ideologies surroundingThe 1990 Portuguese Language Orthographic Agreement. The reform, which aims to uniformize Lusophone orthographies and strengthen Portuguese as a global language, is approached through the reactions of native speakers participating in an online debate within a Portuguese-language blog. Drawing on the notion that language planning is a personal, political and ideological rather than a purely linguistic enterprise, the study focuses on the social meanings assigned to Portuguese orthography by the Lusophone debaters. Upon so doing, it tracks the different ideologies orienting participants’ arguments for or against the reform, showing the interplays of language ideologies with culture, nation and citizenship; how linguistic practices and language-mediating technologies, like orthography, become sites of ideological (re)production; and how “folk” and “expert” perspectives about language are not distant but rather dialectically inform and implicate one another, with local debate discourses embedded within broader and older social process and relations.
Axicon for imaging spectrometer
Authors: Blank V A , Strelkov Yu S , Skidanov R V 
Published: November 2019

Abstract
The operation of the imaging spectrometer based on the axicon is modelled in the Matlab. The imaging spectrometer consists of an annular scanning slit, lenses and axicon. Simulation conducted for two schemes: non-imaging and imaging. We simulated and showed that it is possible to obtain a spectral resolution of 10 nm and a point spread function of 30-50 μm. We obtained the spectral distribution from a model object with parts in which the wavelength of monochromatic radiation took one of three values: 0.46 μm (blue), 0.54 μm (green), 0.70 μm (red).
Modeling the electron-photon interaction in monolayers of graphene and transition metal dichalcogenides in a tight binding approximation
Authors: Hussein S M R H , Kharitonov S I , Kazanskiy N L , Pavelyev V S , Kozlova I N 
Published: November 2019

Abstract
In the presence of a strong electromagnetic field, the spectrum of charge carriers in a Dirac material is changed. The interaction of a linearly polarized field with electrons in the Dirac material leads to anisotropy. The anisotropy axis coincides with the direction of the electric field in the linearly polarized wave. We show that the major contribution to the interaction of electrons with an electromagnetic field comes from elastic scattering processes, whereas taking into account inelastic processes leads to an error of about 2%.
Simulation of laser light focusing by a dielectric nanocylinder with gold core
Authors: Savelyeva A A , Kozlova E S 
Published: November 2019

AbstractUsing the finite difference time domain method it was shown that a nanocylinder from silica glass with a diameter of 360 nm and a gold core of 40 nm focuses TM-polarized laser light into a nanojet with a full width at half maximum of 298 nm. Maximum intensity in focal spot is about 4 times higher than intensity of incident Gaussian beam.
Analysis and optimization of photonics devices manufacturing technologies based on Carbon Nanotubes
Authors: Tripathi N , Pavelyev V S , But V S , Lebedev S A , Kumar S , Sharma P , Mishra P , Sovetkina M A , Fomchenkov S A , Podlipnov V V , Platonov V 
Published: November 2019

Abstract
The analysis and optimization of optical devices manufacturing technologies based on carbon nanotubes intended for work in the visible range were carried out. These processes studied in the work have practical application for the deposition of carbon nanotubes and their subsequent use as materials for prototypes of the waveguide and sensor of the visible range. To obtain a layer of carbon nanotubes, a chemical vapor deposition chamber was used. A dense horizontal network of CNTs was grown on silicon wafer by utilizing sandwich type catalyst structure. The growth was carried out with two variable parameters: flow rate and flow duration. Various aspects of the CNTs synthesis, mechanism of CNTs growth and power dependent laser sensing are considered in this article. The remarkable properties of as developed photo detector are its fast response and recovery time with 8% sensitivity.
Metalens for polarization conversion and focusing of laser light
Authors: Stafeev S S , Nalimov A G , Kotlyar V V 
Published: November 2019

Abstract
We investigated 16-sector metalens that converts linearly polarized laser light to azimuthally polarized optical vortex and focuses the beam. It was shown that the metalens produces a focal spot with subwavelength diameters: FWHMx = 0.32λ and FWHMy = 0.51λ (experiment) and FWHMx=0.37λ и FWHMy=0.49λ (FDTD-simulation).
On the phase field model for microstructure evolution during selective laser melting of powder bed including diffusion-induced stresses
Authors: Mirzade F Kh 
Published: November 2019

Abstract
In this paper, we develop a phase field model for microstructure evolution in laser powder-bed additive manufacturing processes, which allows for the effect of elastic stresses due to diffusion of atomic defects (vacancy and interstitial atom) generated at the moving liquid-solid interface. The governing equations of the model including a time-dependent Ginsburg-Landau equation for the phase field with additional stress term, a diffusion-drift Cahn–Hilliard like equation describing atomic defect dynamics, an energy balance equation for the temperature change, and finally the mechanical equilibrium equation for the elastic displacement fields are derived within a thermodynamic framework based on entropy generation guaranteeing thermodynamic consistency. The most simple 1D and isothermal equilibrium situation is considered to study phenomenon of diffusion-flexural instability with the atomic defect clustering and periodic distributions of defects. The effect of this instability on the exfoliation of deposited thin layers on a substrate is also discussed.
Modelling and record technologies of address fiber Bragg structures based on gratings with two symmetrical pi-phase shifts
Authors: Morozov O G , Sakhabutdinov A Zh , Nureev I I , Misbakhov R Sh 
Published: November 2019

Abstract
Address fiber Bragg structures (AFBS) make it possible to effectively solve the problems of interrogation and multiplexing of sensors in multi-sensor networks with microwave photonic processing of information. Based on a complex method of transmission matrices and the coupling of directional modes, a mathematical model was constructed to determine the spectral profile of a fiber Bragg grating with two discrete symmetric phase π shifts (2π-FBG). Based on the study of the mathematical model, the possibility of selecting the necessary parameters of 2π-FBG AFBS is shown, which allow forming its spectral profile in such a way that the specified structure can be used as a sensitive element of the sensor and provides the necessary linear displacement in the optical range and preserves the required frequency separation – address – between discrete symmetric phase shifts location in the radio frequency range. The analysis of the formation and recording methods for 2π-FBG AFBS was carried out. To implement given structures, the technology, using of an ultraviolet argon laser, the classic phase masks with sequential recording of several arrays with precise movement of the fiber were chosen. Further paper deals with issues of interrogation of the developed structures in few- and multi-sensor implementations.
Analytical calculation of diffraction order intensities for a hyperspectrometer
Authors: Rastorguev A A , Kharitinov S I 
Published: November 2019

Abstract
We employ a geometric optics approach to calculate the eikonal of a light field at the output of a diffraction grating in the immediate microrelief vicinity. Analytic relations to calculate the diffraction order intensities as functions of the grating step height, line spacing, wavelength of incident light, and incidence angle are deduced. By way of illustration, intensities of the diffraction orders for a blazed reflection grating with a 555-nm operating wavelength utilized in hyperspectrometers are calculated.
A compact imaging hyperspectrometer
Authors: Ivliev N A , Podlipnov V V , Skidanov R V 
Published: November 2019

Abstract
The paper describes the design of a compact hyperspectrometer equipped with a transmission phase diffraction grating, which is used as a dispersing element. The calculation of the microrelief parameters of the dispersing element is given. The spectral characteristics of the developed device are investigated. The possibility of determining the normalized vegetation index is demonstrated. The weight and dimensions of the compact imaging hyperspectrometer are given.
Optical phase retrieval with the image of intensity in the focal plane based on the convolutional neural networks
Authors: Dzyuba A P 
Published: November 2019

Abstract
One of the most important factors for improving the resolution of optical systems is to compensate for the aberrations (distortions) of the wave front. As a rule, whether special measuring devices (wavefront sensors) are used for such compensation or adaptive mirrors that perform iterative correction of the wavefront. However, often (for reasons of compactness or weight reduction), it is not possible to use the special equipment for measuring aberrations. To obtain certain information on the wave front, one can use the measured point spread function (PSF) or the intensity pattern in the focal plane. Methods of processing two PSFs (focal and nonfocal) with the help of neural networks are known. In this paper, we investigate the possibility of recognizing the wave front from a single intensity pattern in the focal plane. The technology of deep machine learning - convolutional neural network is chosen as the way for implementation. The idea of this technology lies in the alternation of convolutional and subsampling layers, for the purpose of efficient image recognition. Such approach will allow to optimize the process of compensation of optical system aberrations and to reduce the amount of required input data.
Impact of the evanescent waves on the backflow of power in the near field
Authors: Kotlyar V V , Kovalev A A , Kalinkina D S 
Published: November 2019

Abstract
For an elliptically polarized optical vortex with an arbitrary integer topological charge, using the expressions for all six components of the electric and magnetic field strength vectors, we obtain an expression for the longitudinal component of the Poynting vector in the initial plane. For the particular case of a narrow angular spectrum of plane waves (Bessel beam) and for the circular polarization, it is shown that in the presence of the inhomogeneous evanescent waves in the initial light field, a reverse flux of light energy can occur near the op-tical axis. It is shown that this reverse energy flux is due to toroidal vortices in the longitudinal plane.
InP/InGaAs photocathode for hybrid SWIR photodetectors
Authors: Smirnov K J , Davydov V V , Batov Y V 
Published: November 2019

Abstract
The technology of creation the photocathode with quantum efficiency at the level of 5% based on the InP/InGaAs heterostructures is given. The effect of decreasing the quantum efficiency of the photosensitive structure on radiant sensitivity is considered. Several variants of realization of vacuum photoelectronic device with InP/InGaAs photocathode for special purposes are represented.
Bessel beams formation by hybrid axicons
Authors: Ganchevskaya S , Skidanov R , Vasilev V 
Published: November 2019

Abstract
We present a new type of diffractive optical elements (DOE) – hybrid axicons. The process of formation of identical intensity distributions in focus by different hybrid axicons on the example of Bessel beams is shown. The beams order is determined by the sum of the topological charges of the phase plate (structure charge) and the spiral axicon (zone charge). The results of mathematical modeling of light diffraction on hybrid axicons are presented.
Microtechnology in computer optics
Authors: Danilov V A 
Published: November 2019

Abstract
The article briefly describes the development of microtechnology in the field of diffractive computer optics. The author presents the material based on the development of the laboratory of micro- and nanotechnology of Image Processing Systems Institute of the RAS. The creator and head of this laboratory was Doctor of Technics, Professor Alexey Volkov, a well-known expert in the field of electronic and vacuum technologies. The author analyzes the impact of scientific results of Professor A.V. Volkov on the development of diffractive optics.
The choice of methods for the construction of PCA-based features and the selection of SVM parameters for person identification by gait
Authors: Strukova O V , Myasnikov E V 
Published: November 2019

Abstract
The paper presents the results of the continued research of the principal component analysis (PCA) and support vector machine (SVM) techniques for person identification by gait. The experimental studies performed using the CASIA GAIT dataset allowed us to compare two methods of work with input data for PCA. According to the results of experiments, the optimal method of forming the feature space and the most effective parameters of the SVM-classifier were selected. The classification of video sequences recorded by video cameras located frontally, at an angle and orthogonal to the direction of objects movement was carried out.
Camera and auxiliary sensor calibration for a multispectral panoramic vision system with a distributed aperture
Authors: Kudinov I A , Nikiforov M B , Kholopov I S 
Published: November 2019

Abstract
The constructions of test objects for calibrating cameras of the visible and infrared ranges that make up the panoramic survey optoelectronic system, as well as calibration algorithms for auxiliary inertial microelectromechanical sensors for determining the angular position are considered. The results of image forming from a virtual camera that realizes the transfer of the centre of the generated panoramic video image to the observer’s placement point are presented. As part of the field experiment with cameras of the visible and long-wave infrared ranges, it was shown that calibration of the sensors of the panoramic system with a distributed aperture at a known distance to the objects of observation results in an error of combining multi-spectral images of not more than 3′.
Preliminary ICP stage for data-thinning based on object geometry
Authors: Tihonkih D , Makovetskii A , Kober V , Voronin A 
Published: November 2019

Abstract
Basically, the I CP algorithm steps are as follows: for each point i n the first set, match the closest point in the second set; estimate mapping parameters using the RMS cost function; transform points using estimated parameters; perform multiple iterations (reconnecting points, and so on). In this paper a preliminary data-thinning algorithm is proposed. It can help to speed up all ICP algorithm stages by reducing the amount of input data. The proposed algorithm is based on the human perception of objects geometry. A human often analyzes edges and corners of objects and does not pay attention to the inner parts of polygons when comparing two objects and looking for similar parts. The algorithm described in this article begins with a search of planes in point’s cloud. Next, the search for intersection of the found planes is performed in order to extract object edges. Finally, the intersection of the edges help us to get object corners. Further, all points not belonging to the edges and corners are removed from the point cloud. In real objects polygons most often occupy a large part of the object, therefore the proposed algorithm allows to get rid of a large number of insignificant points.
Analysis of the Image Spectrum for Distortion Diagnostics
Authors: Chochia P 
Published: November 2019

Abstract
The diagnostic of possible distortions in given visual data is a significant problem in signal and image processing. In the paper, we discuss the task of automatic determination of the type and parameters of expected distortion on the analysis of the obtained image. In solving the problem, we restrict the research by the identification of linear homogeneous convolution operators of the following three types: circular form with rectangular profile, circular form with Gaussian profile, and linear motion blur ones. The diagnostics identification procedures base on the image spectrum analysis and use the mean radial profile of the image spectrum amplitude. For every distortion type, we elaborate corresponding diagnostics procedures, that when combined into one common process, form a unique recognition algorithm. The studies and experiments demonstrate the reliability of distortion identification algorithms against signal precision and noise influence.
Localization of diabetic macular edema areas via graph-based segmentation of OCT retinal images
Authors: Ilyasova N Yu , Shirokanev A S , Demin N S , Zamyckij E A 
Published: November 2019

Abstract
We propose a technique for localization of diabetic macular edema areas via graph-based segmentation of OCT retinal images. The relevance of the research is associated with the high incidence rate of severe eye conditions due to diabetic macular edema among the world population. The technique relies upon a highly efficient graph-based image segmentation. Using a set of specially selected parameters, the accuracy of retinal area segmentation is enhanced. Optimal parameters found in the course of research have enabled a segmentation error of 2% to be achieved.
Research and development of hierarchical models of automated control systems for the parameters of the radio-line of the cognitive radio system
Authors: Blagodatsky G A , Kopysov A N , Khvorenkov V V , Baturin I S 
Published: November 2019

Abstract
The paper considers a five-level model of a cognitive radio communication system. It was revealed that the value of the influence of natural factors and the effects of the enemy is comparable, but several times less than the state of the radio communication system. The observer’s device and the regulator are important for the effective transmission of information and the controlled process and the internal state of the information transmission system are less important. The goal of reducing the number of errors in the transmission of information and increasing the speed of information transmission are important for the effective transmission of information, in comparison with a reduction in the computational load on the formation of signal-code structures and a decrease energy used for transmission. The highest efficiency of the radio system can be achieved through the use of optimal signal processing algorithms, and high power of the transmitted signal. High speed of information transmission will not give a tangible effect when transmitting information in difficult conditions without the necessary power of the radio link and signal processing algorithms.
Dynamics of the electrochemical reaction behavior under the influence of random perturbations
Authors: Firstova N 
Published: November 2019

Abstract
The paper deals with the effect of random perturbations on critical phenomena in a dynamic model of an electrochemical reaction. Classical theories predict that solutions of differential equations will leave any neighbourhood of a stable limit cycle if white noise is added to the system. The effect of external disturbances on the limit cycle is investigated, the sensitivity of the cycle to the noise is found. An analysis of the noise-induced transitions is performed.
A stochastic approach to the solution to the differential equation of heat transfer in the atmosphere
Authors: Nozhkin V S , Semenov M E , Ulshin I I 
Published: November 2019

Abstract
In this work, a model of heat transfer in the atmosphere is proposed. This model is based on a stochastic interpretation of the velocity vector components. Histograms of the wind speed distribution averaged over a relatively short time interval are obtained and analyzed. The proposed model is formulated based on empirical distributions. Explicit expressions for the first and the second-moment functions solving the heat transfer equation with random coefficients are presented. A function that estimates errors resulting from replacing a random coefficient in an equation with its mathematical expectation is also obtained. An example that demonstrates the effectiveness of the proposed approach in the case of a Gaussian distribution of the horizontal component of wind speed is presented. In this case, the first and second-moment functions in the frame of the proposed model are presented.