
Accepted papers
Visual diagnostics of physical quantities based on the functionalvoxel modeling method
A.V. Tolok, M.A. Loktev, N.B. Tolok, A.M. Plaksin, S.A. Pushkarev
Accepted: 20200328
Abstract
The paper proposes a method of functionalvoxel modeling (FVM) of physical quantities acting in an isotropic body on the example of stresses arising under the influence of force or heat load. The principles of modeling the unit stress as a volume vector, as a geometric object, set by analogy with the usual vector two parameters: the function of the magnitude and the function of the angle of direction. The principles of constructing a functionalvoxel model that allows to graphically represent the volume vector on a computer as a set of Mimages that display the local geometric characteristics of the obtained functional area are demonstrated. The possibilities of constructing stress fields from distributed loads by means of sequential addition of a single voltage distributed in space are considered. The principles of construction of a single thermal stress and design of distributed fields on its basis are considered separately. Existing approaches for modeling the shape of thermal expansion of the body are used. The obtained visual images of stresses and strains are compared with the simulated results in the existing computational modules based on FEM. The advantages of visualization of the results from the standpoint of accuracy and clarity of presentation are demonstrated. The prospects of this approach to modeling visual physical quantities in relation to the visual diagnostics of the part geometry are considered.
Digital Nutrition: Spectral Portraits of Optimal Diet
N.A. Orlov, A.A. Kislitsyn, A.O. Kambarov, A.K. Baturin, D.B. Nikituk, V.A. Tutelian
Accepted: 20200328
Abstract
The algorithm for calculating the values of portions of the daily menu of dishes in accordance with certain standards of consumption of a given set of controlled essential substances contained in food is constructed. Such substances in this work include macronutrientsproteins, fats, carbohydrates, as well as micronutrientsvitamins A, B1, B2, C, PP, carotene, and the elements sodium, potassium, calcium, magnesium, phosphorus, iron. The features of the resulting computational problems associated with the fact that the daily consumption of macronutrients and micronutrients differs by weight by 45 orders of magnitude are investigated. To analyze the quality of the computational conditionality of the problem of determining the size of a portion of a dish, spectral portraits of matrices of the nutrient composition of dishes are used. The portraits show us the accuracy of calculating matrix spectrum depending on the accuracy of the matrix elements. Such portraits are built for typical menus without specific exceptions for a conditionally healthy person and for a vegetarian. A comparative analysis of the corresponding nutrient matrices is carried out. An algorithm for selecting dishes and calculating the values of their portions, which is stable for macronutrients, is proposed. It is shown that when the planning horizon increases, the average daily calculated consumption of micronutrients approaches the recommended standards of the Ministry of health. The rate of convergence on micronutrients depending on the menu type is estimated.
A multiscale model of nucleic acid imaging
I.V. Stepanyan
Accepted: 20200321
Abstract
The paper describes new results in the field of algebraic biology, where matrix methods are used [Petukhov, 2008, 2012, 2013; Petuhov, He, 2010] with the transition from matrix algebra to discrete geometry and computer visualization of the genetic code. The algorithms allows to display the ] composition of sequences of nitrogenous bases in parametric spaces of various dimensions. Examples of visualization of the nucleotide composition of genetic sequences of various species of living organisms are given. The analysis was carried out in the spaces of binary orthogonal Walsh functions taking into account the physical and chemical parameters of the nitrogen bases. The results are compared with the rules of Chartaff concerning genetic sequences in the composition of DNA molecules. The developed method makes it possible to substantiate the relationship between DNA and RNA molecules with fractal and other geometric mosaics, reveals the orderliness and symmetries of polynucleotide chains of nitrogen bases and the noise immunity of their visual representations in the orthogonal coordinate system. The proposed methods can serve to simplify the researchers' perception of long chains of nitrogenous bases through their geometrical visualization in parametric spaces of various dimensions, and also serve as an additional criterion for the classifying and identifying interspecific relationships.
A New Partial 3D Object Indexing and Retrieval Approach Combining 2D slices and Apriori Algorithm
I.Q. Taybi, T. Gadi, R. Alaoui
Accepted: 20200321
Abstract
This paper examines the issue of 3D object indexing and retrieval and tries to solve this problem using partial indexing approach. The hypothesis in this context is that similar 3D objects will be composed of similar 2D slices. The proposed partial 3D object indexing and retrieval method is applicable on both complete and incomplete 3D objects, which is based on a similarity measuring between 2D slices of 3D objects. The main idea behind our approach is to extract an initial set of 2D slices corresponding to determined axes, and then use the Apriori algorithm to select the most representative ones, transforming the issue of shapematching between 3D objects into evaluating the similarities between their 2D slices. Experiments on the Princeton Shape Benchmark (PSB) indicate that our approach outperforms evaluated retrieval approaches.
Visualization of Multidimensional Hypersurface Extrema by Lumigraph
Eugene Popov, Tatyana Popova, Anatoly Batiukov, Natalja Vogt
Accepted: 20200310
Abstract
The paper describes a method for a multidimensional hypersurface and its extrema visualization by Lumigraph model. The paper shows the shortcomings of the classic Lumigraph and formulates the reasons for this. To overcome these shortcomings the authors introduce the additional screen concept. The rules for constructing an image on this screen are described. The final image makes the entire hypersurface and zones of its extrema clearly visible.
Visual cognitive control of space systems radiotechnical signals
Yu.G. Emelyanova, M.V. Khachumov
Accepted: 20200212
Abstract
The method of cognitive graphical information presentation is developed, allowing to classify radiotechnical signals and estimate the degree of noise. The method is based on the construction of a features set ordered by information significance. In turn, informativeness is determined by the formal contribution of the feature to the quality of signal type recognition. The construction of cognitive images is carried out in several stages: 1) determination of numerical characteristics of typical signals, 2) ranking and selection of the most informative characteristics, 3) construction of cognitive graphic images visualizing a multidimensional vector of signal features, 4) operator's interpretation of cognitive images.
The method of integral contour representation polar scan is used to construct cognitivegraphic images of signals. A total of forty informative parameters of the signal (features) are calculated. To increase the polar scan selectivity, the features are ranked in informativeness descending order by the Add and Del ìethods. The operation of signals subtraction defined over their informative parameters is introduced. With the goal to improve the visual recognition quality, monochrome halftones have been added to cognitive images. To perception improve of the contour representation of difference images introduced color components. The sensitivity of the cognitive images of substantial noise signals expressed in changing polar scan forms, tones and colorful presentation. The comparison of signals recognition quality by using metrics and polar scan visual recognition is provided. The recommendations are given to the decisionmaker operator on the type and noise degree of the radio signal in the final part.
Scientific publications bibliometric networks visualization on the human factor study in the nuclear power plants operation based on the bibliographic database Dimensions
A.Kh. Khakimova, O.V. Zolotarev, M.A. Berberova
Accepted: 20200212
Abstract
The need to take into account the human factor in the operation of nuclear power plants is justified by the fact that erroneous actions of personnel and operators of nuclear power plants can directly or indirectly lead to accidents. Therefore, the personnel reliability analysis allows you to identify the most likely erroneous NPP personnel actions and develop a measures to reduce them set. This paper discusses the visualization issues scientific publications bibliometric networks for the human factor in the operation of nuclear power plants study.
Shape visualization of magnetic anisotropy energy density of singledomain nanoparticles
R.A Rytov, N.A. Usov
Accepted: 20200131
Abstract
The key physical parameter determining the stationary directions of the magnetic moment of a singledomain ferromagnetic nanoparticle is the type of its effective magnetic anisotropy. The stationary directions of the magnetic moment of a particle change under the influence of an external magnetic field. For better understanding of a behavior of the magnetic moment of a nanoparticle in an external magnetic field, we proposed a simple method for visualization of the energy density of magnetic anisotropy of a singledomain magnetic nanoparticle has been developed. In a spherical coordinate system, the energy density of magnetic anisotropy is represented as a certain surface, which makes it possible to clearly demonstrate the presence of energy minima that determine the equilibrium directions of a single vector of magnetization of a nanoparticle in space. The cases of uniaxial, cubic, and combined magnetic anisotropy are considered in detail. The change in the total energy of a magnetic nanoparticle under the influence of an external uniform magnetic field is demonstrated.
VISUALIZATION OF TORNADOLIKE STRUCTURES FOR THE PURPOSE OF IMPROVEMENT OF COOLIND SYSTEMS OF ELECTRICAL DEVICES
A.Yu. Varaksin, K.K. Denshchikov, M.V. Protasov, M.E. Romash
Accepted: 20200130
Abstract
The work is devoted to solving the problems of cooling of electrical devices and systems of kilovolt and megawatt ranges. Unsteady vortices can form in the flow around structural elements and components of electrical devices. Visualization and diagnostics of vortex structures arising during the movement of coolants through channels of complex geometry are urgent tasks.
Tornadolike structures (nonstationary vortices) were generated over the underlying surface (aluminum sheet) due to the creation of unstable stratification of air when it was heated from below. To visualize the generated wallfree nonstationary vortex structures the micrometer magnesia particles were applied, which were deposited in a thin layer on the underlying surface before the experiments.
Framebyframe viewing of records obtained by direct video filming at various thermal conditions made it possible to conduct a qualitative analysis of the spacetime structure of unsteady vortices and obtain information on a number of their important integral parameters (visible height, diameter, lifetime, number of vortices, vortex funnel velocity, etc.).
The basics of processing of pictures obtained by the particle image velocimetry (PIV) using by the POLIS velocimeter (Institute of Thermophysics, SB RAS) to restore the instantaneous velocity fields of vortex structures have been considered.
The results of visualization of wallfree nonstationary vortices obtained by using of direct video filming and vector fields of instantaneous velocities in the cross section of the vortex obtained by using of PIV are presented.
The study of methods for analysis burning torch infrared images
I.A. Berg, S.V. Porshnev
Accepted: 20200130
Abstract
The paper describes the results of the study of methods for analysis burning torch infrared images obtained by an infrared camera in the band of electromagnetic wavelengths of 1.55.1 μm. It was shown that the known infrared image analysis methods cannot provide the quantitative parameters extraction that could describe combustion process. In addition, it was figured out that the known methods are timeconsuming and cannot run in real time. As a result, nowadays the combustion control system that uses optical control of torch parameters in infrared band cannot be designed.
In our study we analyzed the pixels quantity distribution density in the range of [520,560] relative Celsius degrees on each frame of the initial infrared sequence of burning torch. It was shown, that the pixels quantity distribution has the bimodal distribution law and can be described by three local extremes coordinates: two maximums and a minimum located between them. The pixels that have relative degrees values in the range from 520 degrees to the value of the minimum’s abscissa and from the value of the minimum’s abscissa to 560 degrees relatively form two separate zones on the burning torch visualization.
It was demonstrated that timedomain series constructed from framebyframe calculated local extremes coordinates of the P(T) distributions are stationary random sequences. This result allows to use these timedomain series as quantitative parameters of the torch combustion. It was shown that the local minimum’s abscissa value of the P(T) distribution with a relative error of 2.8 % is a constant value equal to 536.3 relative degrees. This allows to count the pixels quantity of each of the separate zones without using timeconsuming Rosenblatt – Parzen estimation and run data processing in real time.
3D Visualization of geological and construction data for mine shaft equipping using arcgis tools as an element of informationanalytical system “construction  geological environment”
P.A. Krasilnikov
Accepted: 20200121
Abstract
Emergency situations periodically arise at various complex engineering objects, which could have been avoided if there is complete and reliable information about the structure and the geological layer that is the base of the object or its environment. The author believes that for the technical services serving the structure, it is necessary to create and constantly update informational and analytical models of the “structuregeological environment” system, containing the technical characteristics of engineering structures and indicators characterizing the geological structure.
Such a model is analogous to BIMmodeling and will be able to provide technical services specialists with reliable and timely information at all stages of the construction life cycle. An essential element of this model is the threedimensional visualization of data, which allows for a new level to control the design decisions made and to make timely changes when errors are detected.
The paper proposes an approach to threedimensional data visualization of a technically complex engineering object (a shaft), located inside the geological environment, using ArcGis tools. The proposed approach is implemented on the example of the sinking of two shafts of the Verkhnekamskoye potassium and magnesium salts deposit. The main simulation results, visualized both in twodimensional and threedimensional form at specific points in time, are given. Using the ArcGis environment allows not only to carry out a spatial analysis of existing data, but also to prepare a presentation material in a dynamic form (animation).
Visualization of the interconnection between dynamics of the system and its basic characteristics
G.V. Kreinin, S.Yu. Misyurin, A.P. Nelubin, N.Yu. Nosova
Accepted: 20191216
Abstract
The paper presents a dimensionless mathematical model of the dynamics of the drive complex and the visualization of the solution of this model, which allows to obtain comparative estimates (characteristics) of the solutions obtained in the first approximation.
The authors proposed an original control system for the drive complex of two hydraulic actuators to lift the load in parallel mode. A distinctive feature is the adopted control circuit of the complex through three hydraulic switchgears, which are responsible for regulating the overall lifting (and/or lowering) speed of the object and maintaining the horizontal position of the object within the specified accuracy in the presence of disturbing factors of different nature. The difference in displacements of the hydraulic actuator rods from some initial (basic) position at a given time is a sign of deviation of the object from the horizontal position. The mathematical model of the object obtained is investigated in dimensionless variables, which greatly simplifies the visual synthesis of the object.
Algebraic methods for coloring cubic graphs
S.V. Kurapov, M.V. Davidovsky, A.V. Tolok
Accepted: 20191009
Abstract
This article considers algebraic methods for coloring cubic graphs based on the results of the Tate theorem. To formally describe the coloring of a cubic graph, the authors use a fourthorder Klein group transform. For the transition to the coloring of the graph, the edges of the basis cycles are respectively colored. Overall, the mathematical framework for describing topological graphs is described in the article. Based on the coloring of the edges, the formation of colored disks and the mathematical description of the operation of rotating colored disks with subsequent recoloring of the edges are considered. It is shown that the operation of rotating color disks can be presented as a ring sum (addition modulo 2) of cycles. For an unambiguous description of the representation of colored disks by means of basic cycles, the concept of embeddability of colored disks is introduced. In the article, the authors provide examples illustrating the application of the operation of colored disks rotation. The relation between the system of induced cycles generated by the rotation of graph vertices and the coloring of 2factors of the cubic graph is established. It is shown that the ring sum of all cycles included in the colored 2factors of the graph is an empty set. The article also addresses the issues of coloring nonplanar cubic graphs. The relationship between basic cycles and a rim in a nonplanar cubic graph and a ring sum of colored 2factors is shown in the article. The relationship between the color rotation of the vertices of a flat cubic graph and the closed Heawood paths is explicitly indicated in the article.
Spin Diode Based Microwave Registration and Holographic Visualization of Wave Front Scattering for an Autonomous Driving System
K.A. Zvezdin, D.R. Leshchiner, A.F. Popkov, P.N. Skirdkov, A.G. Buzdakov, G.N. Chepkov
Accepted: 20190607
Abstract
In the paper, we discuss the scheme and the prospects of holographic visualization of scattering objects using microwave registration based on spin diodes to identify obstacles to movement for the car’s autonomous driving system. With wavelength decrease, the resolution of the holographic system grows, but the recording capacity at a given level of irradiating signal and diode noise decreases. We give an algorithm for the numerical reconstruction and visualization of obstacles. Estimates for the resolution and the reliability of object identification, depending on the distance to the obstacle, obtained by numerical modeling. We show that there is an optimal wavelength achieving the maximum range of microwave recording, taking into account the system resolution and the acceptable signal level. Highly sensitive spin diodes, feasible for the 230 cm wavelength range, approach the optimum range, which is ~ 0.51 cm for Schottky diodes, in their holographic visualization ability. Based on the Kotelnikov theorem for the sampling frequency of a harmonic signal, and on numerical experiments, the requirements for the placement density of the receiving elements of the recorder antenna array were determined depending on the distance to the object, the number of sensors and the recording window size. We show that a microwaverecording device based on spin diodes can be promising for an autonomous driving system at conditions of constrained movement with poor visibility and high noise.


