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Accepted papers
Visual Analytics of Twitter and Social Media Dataflows: a Casestudy of COVID-19 Rumors
M.S. Ulizko, E.V. Antonov, M. A. Grigorieva, E.S. Tretyakov, R.R. Tukumbetova, A.A. Artamonov
Accepted: 2021-10-24
Abstract
One of the most significant and rapidly developing fields of data analysis is information flow management. The analysis targeted and stochastic dissemination patterns are studied. The solving of such problems is daunting due to the global growth of the amount of information and its availability for a wide range of users.
The paper presents a study of dissemination of information in open networks on the example of COVID-19. The study was conducted with the use of web scraping, methods of linguistic analysis and visual analytics. As sources of information variety of sources were used, such as the largest world and Russian information services, social networks and instant messengers. The paper considers statistical analysis of English media articles and posts form Twitter, dissemination of data flows between countries and information source. The developed methods can be scaled up to analyse information events of various topics.
Spherical lenses for virtual optic experiments
V.A. Debelov, N.Yu. Dolgov
Accepted: 2021-10-21
Abstract
While the mathematical modeling of optical phenomena, a computer calculation is often performed, confirming the conclusions made. To do this, a virtual computer model of the optical installation is created in the form of a 3D scene. Also, virtual scenes are often used in training when creating presentations.
This paper describes computer models of spherical lenses and the calculation of the interaction of linear polarized light rays with them. It is focused on applications that use ray tracing. It is known that light of any polarization can be represented on the basis of the mentioned one. The reflected and all rays passing through the lens that arise due to internal reflections are calculated from the ray incident on the scene object. The number of internal reflections is set by the parameter. All output rays are calculated based on the application of Fresnel’s equations and are characterized by intensity values and polarization parameters.
We selected spherical lenses, since they are most often used in optic installations. They are constructed on the basis of the application of the set-theoretic intersection of geometric primitives: a half-space, a sphere, a cone, a cylinder and their complements to the scene space. An advanced user can build their own objects by analogy, for example, cylindrical lenses.
Semiotic approach in visual communication design
A.A. Zakharova, A.V. Shklyar, E.V. Vekhter
Accepted: 2021-10-21
Abstract
A visual analytics means is a set of tools used to obtain a visual representation of the data explored by the user, its interpretation and complete analysis. It is quite possible that such a set will be a developed specialized environment for continuous user interaction with a data stream, which has the capacity to control and replace the way of visual data representation. A wide range of existing visualization tools, as well as unlimited borrowing of technological solutions originally intended for a narrow application area, and the transfer of the capabilities they create to other directions make it urgent to form a sound approach to the comparison and selection of means of data visual representation of a given complexity [1]. The purpose of this selection is to save the end user’s resources, based on the absence or minimization of resource losses arising at the stage of selection and testing of visual analytics tools. The paper shows the possibility of using a semiotic visualization model for purposeful design or selection of visualization tools.
An experience of using CinemaScience format for 3D scientific visualization
Pavel Vasev, Sergey Porshnev, Majid Forghani, Dmitry Manakov, Mikhail Bakhterev, Ilya Starodubtsev
Accepted: 2021-10-21
Abstract
To visualize any new entity, a visualization should be designed and programmed. Investigating approaches for programming new scientific visualizations, we come to the following idea: utilize CinemaScience format to describe 3D scenes. CinemaScience is developed for storing and visualizing supercomputer and physical modelling results, and differs with simplicity both for human and machine. It has a set of interesting features, for example it allows to specify dynamics in views dependent on parameters. However its current known applications are of 2D graphics, and in this paper we extend it for 3D case. It's main idea is to treat Cinema artifacts as visual objects of explicit type. We successfully used the suggested approach in various visualization tasks, examples are presented in the paper. We developed the open-source web application that implements the suggested approach. It is open-source and its main features are also described in the paper.
Synthesis and Visualization of Image Datasets of Parametric 3D Model for Neural Network Training and Testing in Data-Poor Conditions
O.V. Kretinin, E.V. Popov, A.P. Tsapaev, L.O. Fedosova, M.I. Tyurikov
Accepted: 2021-10-18
Abstract
Flaw detection of the inner surfaces of especially critical pipes is based on visualization, which requires complex optical systems equipped with artificial intelligence functions. Training of such systems is very complicated due to the limited volume of defective products. The paper describes training and testing machine learning algorithms in poor data by the example of detecting a defect at the inner surface of a pipe. The authors propose a method for developing a set of synthetic training images obtained by 3D models of technical objects with parameterized defects applied to them. Images can be generated by parametric description of the artificially defected inner surface of a pipe 3D model in Autodesk Inventor environment. Windows AutoIt OS automation environment is applicable to generate synthetic images and masks. The method allows obtaining a set of synthetic pipe images for training neural networks with U-Net and LinkNet architectures. The trained neural networks testing has shown the defect recognition at a high level both on a synthetic sample of images and on real images of inner surface of rejected pipes.
Visualization of Graph Models: An Approach to Construction of Representation Metaphors
R.A. Isaev, A.G. Podvesovskii
Accepted: 2021-10-17
Abstract
The paper presents development of the authors’ approach to visualization of graph models of various types based on the use of visualization metaphors and aimed at increasing cognitive clarity of these models. One of the key problems of this approach is investigated – namely, formalization of the process of constructing representation metaphors for graph models. Features of graph models that allow formalizing the process of their visualization are considered, the necessary terminology is introduced. A number of principles have been formulated that must be considered when forming metaphors for representing graph models. On the basis of the introduced principles, a general approach to the construction of representation metaphors for visualization of arbitrary graph models is proposed. The main ideas for applying the proposed approach are demonstrated by examples of constructing representation metaphors for two types of graph models: fuzzy cognitive maps and Bayesian networks. In order to discuss the results, a contradiction between the volume of a representation metaphor and its cognitive clarity is formulated, and a hypothesis is proposed about the relationship of this contradiction with Hick's law. The feasibility of experimental study of this relationship and the refinement of its parameters, including with the aim of developing recommendations for the construction of efficient representation metaphors of graph models, is noted. In the future, the presented approach can become an important component of an integrated approach to building a visualization mechanism for an arbitrary graph model, which provides support for efficient visual analysis throughout all stages of modeling.
Methods of Constructing a Visual Map of Generalized Computational Experiment
A.A. Zakharova, D.A. Korostelyov, A.G. Podvesovskii, V.A. Galaktionov
Accepted: 2021-10-17
Abstract
The paper considers the problem of evaluating the state of a generalized computational experiment in the context of a general problem of creating methods for adaptive planning and control of a generalized computational experiment in mathematical modeling of real physical processes. A generalized computational experiment implies multiple solution of the numerical simulation problem for various sets of values of defining model parameters. As a method for assessing a generalized computational experiment state, it is proposed to visualize a set of experimental data specifying this state then followed by analysis of the resulting visual image. An approach to visualization of a generalized computational experiment state is proposed based on constructing a visual map. The concept of a visual map of a generalized computational experiment is introduced, and several methods of its construction are proposed. Examples of application of those methods are considered when assessing the accuracy of numerical models of the OpenFOAM software platform for a three-dimensional problem of inviscid flow around a cone.
Ontology-Driven Tools for EEG-Based Neurophysiological Research Automation
K.V. Ryabinin, S.I. Chuprina, I.A. Labutin
Accepted: 2021-10-17
Abstract
Studying the neurophysiological aspects of human cognition reveals the brain activity patterns, which are the key for objective assessment of human situative behavior. This, in turn, brings new possibilities for both industry and humanities. Industry gains a new way of human-computer interaction based on the brain wave analysis that allows controlling computers by mental activity. Humanities like psychology, sociology, politology, and linguistics can utilize the brain activity patterns during experiments to measure and classify reactions of informants to different modelled situations thereby increasing the precision and objectivity of research results. One of the most convenient ways to monitor brain activity is the non-invasive electroencephalography (EEG). To conduct the EEG-based research, stimuli representation tools are required as well, which should support the synchronization mechanisms with the EEG hardware. In spite of many existing software platforms devoted to conducting EEG-based experiments, high-level versatile tools are badly needed by scholars, especially the ones who do not have much experience in programming, signal processing, and hardware management.
In this paper, we propose an adaptable ontology-driven toolchain for conducting EEG-based neurophysiological experiments applied to various scientific domains including digital humanities and computational linguistics. This toolchain provides a high-level graphical user interface that does not require special IT skills for customization. By modifying the underlying ontologies, this toolchain can be easily tuned to the specifics of particular experiment setups, as well as integrated with different third-party EEG hardware and signal processing software. Herewith, the toolchain’s core requires no source code modifications.
The high-level graphical user interface of the toolchain provides the user with a data flow diagram (DFD) editor that enables defining the particular data processing pipeline in an intuitive way instead of programming the data processing from scratch. This solution is built upon our ontology-driven visual analytics platform called SciVi. In the present work, new SciVi capabilities are introduced, which allow this platform to be utilized for conducting neurophysiological experiments. The main new features cover the representation of audio-visual stimuli, as well as retrieving, processing, and analyzing the EEG data.
Using the approach proposed, we successfully composed the particular toolchain incorporating medical-grade EEG device EBNeuro Be Plus LTM, related calibration, data acquisition, and visualization methods along with such data processing algorithms as Linear Discriminant Analysis, Common Spatial Patterns, and Power Spectral Density. This particular toolchain was utilized to conduct preliminary neurophysiological experiments related to discrimination of brain activity by reading words with certain linguistic features in three different tasks: visual stimuli vs their absence, meaningful stimulus vs placeholder, and transitive verb vs intransitive verb. Brain activity patterns for some of the tasks were obtained.
Preprocessing and visualization of the VVER reactor operational parameters archive
S. Ten, A.M. Zagrebayev, V.V. Pilyugin
Accepted: 2021-10-17
Abstract
For the most part, the solution of the problem of visualizing any data depends on the structure, size and type of data provided. In this work, the data are archives of RBMK or VVER reactors provided from different control and protection systems of the reactors. Despite the fact that several visualization complexes have already been developed, the visualization task is still relevant due to the necessity to improve the quality of monitoring systems and operational personnel.
This paper describes the mathematical apparatus for express analysis of the archive of operational parameters of a VVER nuclear reactor. The developed software makes it possible to carry out express analysis of the VVER reactor archive in terms of plotting altitude or time graphs, as well as using dynamic visualization using the Chernoff faces method, which in turn can provide scientific and practical benefits due to improvement the work quality of operating personnel and conduction analysis of situations that requires additional attention and more detailed analysis.
Also, the fundamental concept of this work is the method of scientific visualization, which is widely used in various theoretical and experimental studies. It can be said that the main aim of scientific visualization is to make invisible visible.
Polychromatic diagnostics of the flame with Hilbert verification of the visualized phase structure
Yu.N. Dubnishchev, V.A. Arbuzov, E.V. Arbuzov, O.S. Zolotukhina, V.V. Lukashov
Accepted: 2021-10-15
Abstract
The work is aimed at solving the scientific and practical problem of non-disturbing diagnostics of the phase and temperature fields of reacting jets and flames. The method based on polychromatic Hilbert visualization of the phase optical density fields induced by the temperature field in the studied medium, pixel-by-pixel processing of RAW images recorded by the photomatrix in RGB channels, and Hilbert verification of the results is presented with an example of studying an axisymmetric hydrogen-air diffusion flame. The phase structure of the probing light field in the axial symmetry approximation of the flame under investigation is analyzed using the Abel transform. Iterative selection of radial temperature profiles, adapted Bezier curves, is performed with the subsequent calculation of the spatial structure of the refractive index and phase function. The reconstruction of the temperature field by the example of the study of a hydrogen-air flame is carried out taking into account the diversity of the partial optical properties of the gas mixture in a model consistent with the Gladstone-Dale dispersion formula. The influence of disturbances in the air surrounding the flame on its axial symmetry is discussed. The criterion for the reliability of the research results is a comparison of the hilbertograms obtained in the experiment and the hilbertograms reconstructed from phase structures induced by temperature fields.
Animations analysis in experimental fluid dynamics
I. A. Znamenskaya, N. N. Sysoev, I. A. Doroshchenko
Accepted: 2021-10-15
Abstract
Digital imaging became one of the main tools for studying fluid dynamics. Modern high-speed cameras support video recording at high frame rates which makes it possible to study extended high-speed processes. We demonstrate here different animations based on various methods of visualization: water temperature evolution with a frame rate of 115 Hz; high-speed shadowgraph visualization of different flows – supersonic water jet formation process (100 000 frames / s), shadowgraph animations of the shock waves created by the pulsed discharges (124 000 frames / s). Also, as an example of plasma radiation emission technique, we offer 9 sequential images of the pulse gas discharge visualization obtained by the high-speed CCD camera with the 100 ns delay between frames. We used a commercial and developed in-house software based on the machine vision and learning techniques for automatic flow animations processing. The examples of the automatic bow shock and oblique shock detection using Canny edge detection and Hough transform on the pre-trained convolutional neural network are provided and discussed.
Methods and technologies of cosmonaut rescue simulation in virtual environment systems
A.V. Maltsev, E.V. Strashnov, M.V. Mikhaylyuk
Accepted: 2021-09-30
Abstract
The paper presents original methods and approaches for simulation the process of cosmonaut rescue using jet pack within virtual environment system VirSim developed at the SRISA RAS. Proposed solutions are based on modern technologies of virtual reality (VR), including Oculus Rift CV1 VR headset, Oculus Touch controllers and Manus Prime II VR gloves. For human interaction with a computer-synthesized environment, a virtual model of cosmonaut with space jet pack was developed, hands of which copy movements of the operator's real hands. Control of virtual jet pack is performed on the basis of the operator impacts on elements of jet pack’s three-dimensional control panel through cosmonaut model's hands. To introduce this approach into virtual environment system, methods were developed for dynamics simulation and control of cosmonaut model, including implementation of its hand movement, operation of control panel and thrusters. Results obtained in the paper can be used to create training complex for learning cosmonauts to rescue when they accidentally separate from the International Space Station.
VISUALIZATION OF MORPHOLOGY BY RIB DESTRUCTION WHEN EXPOSED TO A STAB-CUT OBJECT
M.A. Kislov, K.N. Krupin
Accepted: 2021-09-06
Abstract
With the help of native experiments and mathematical modeling, morphological signs of stab-cut damage to the rib were established and visualized. The regularities of the load distribution in the bone tissue in this type of injury were revealed. The knife blade tip zone action and the transition of end-to-end cutting to longitudinal cutting is identified and visualized. The finite element analysis method application of stab-cut bone tissue damage is proposed.
Visualization of the CFD calculations results on adaptive mixed meshes
S.A. Soukov
Accepted: 2021-09-02
Abstract
The article discusses the problem of the results visualization of the computational fluid dynamics simulations on cell-centered adaptive mixed meshes. An algorithm for converting hierarchical adaptive mixed meshes consisting of tetrahedra, triangular prisms, quadrangular pyramids, and hexahedra to a conformal form is described. The main idea of the proposed algorithm is to decompose a subset of mesh cells with hanging nodes on the edges into tetrahedra and pyramids with the addition of new vertices at the polyhedra mass centers. The mesh functions interpolation algorithm based on the discrete analogue of the formula for the integral representation of the gradient. Application of the algorithm allows to show the fields of mesh functions by software for data visualization on irregular grids. On the example of a stationary supersonic flow visualization at the sphere surface using the Tecplot tools, the advantages and disadvantages of various data presentation options are demonstrated. These include displaying results on a hanging node mesh without changing the topology, transferring data to a starting conformal mesh, polyhedra data visualization, and converting an adaptive mesh to conformal form with cell decomposition and data interpolation.
Processing of visual experimental PIV-data using a random synthetic particle generator
A.A. Mochalov, A. Yu. Varaksin
Accepted: 2021-08-22
Abstract
The study of free non-stationary vortex structures by the PIV method requires the search for the most rational approach to visual data processing. The paper evaluates the qualitative and quantitative characteristics of the velocity fields based on the generator of random synthetic particles. The simplified case of a solid-state rotation with a given velocity is considered as the closest to the vortex motion.
Investigation of the jet liquid flows structure by multicolor Particle Image Velocimetry
S. S. Usmanova, A. V. Kuchmenko, N. M. Skornyakova, M. V. Sapronov
Accepted: 2021-07-30
Abstract
The work aim was to find out the possibility of using multicolor particle image velocimetry for the diagnosis of jet liquid flows. The main difference between this method and particle image velocimetry is that three laser planes of different wavelengths located at a short distance from each other are used as probing radiation. This modification allows obtaining information about the flow structure simultaneously in three different planes. A jet liquid stream from a sprayer has been considered as a research object. As a result, a laboratory setup was assembled and a series of experiments were carried out. The paper presents examples of experimental images, the processing result, describes its algorithm, and also estimates the accuracy of the data obtained.
Dendrograms in regional socio-economic analysis: interpretation and verification
V.I. Blanutsa
Accepted: 2021-07-25
Abstract
Interest in regional socio-economic analysis has grown in the last decade. Various tools are used to visualize its results. One of them is the dendrogram. However, in world science there is no generalization of the experience of using dendrograms to display the sequence of combining regions into socio-economic clusters. Therefore, the goal of our study was to generalize such experience with an emphasis on the interpretation and verification of dendrograms. Based on eight bibliographic databases using a special semantic search algorithm, more than eighty journal articles published around the world in the last two decades have been identified. These articles contain one hundred and thirty dendrograms. Their analysis showed that the main purpose of tree diagrams is to fix the sequence of combining regions into clusters and to substantiate the number of clusters. Two new types of interpretation of dendrograms are proposed – the allocation of nuclei in clusters and the determination of the level of socio-economic cohesion of clusters. To test the validity of determining the number of clusters, the author's algorithm for identifying the optimal clustering option is proposed, based on the idea of the complexity of the tree in graph theory. The ten main problems of visualizing the results of regional socio-economic analysis using dendrograms are listed.
Visualization of the efficiency processes management and University' HR-potential evaluation
V.D. Kolychev, N.A. Budanov
Accepted: 2021-07-11
Abstract
The article is devoted to the development and application of a set of visual analyt-ical models used in the management of performance based on key indicators and the assessment of the University's human resources potential using integrated in-formation and analytical tools. The relevance of the development and application of visual analytics methods is aimed at improving the efficiency of management decision-making, strategic planning and assessment of the potential for growth and development. The need to develop methods of visual analytics in the field of per-formance management is due to the current reconfiguration of the functioning of large-scale competitive high-tech enterprises, focused primarily on improved goal-setting technology and the use of modern methods of analyzing human resources. The article presents a set of visual models used for a comprehensive analysis and evaluation of the effectiveness of the organization, based on the use of a set of ge-ometric modeling tools that allow you to use modern computer tools to demon-strate methods of making managerial decisions.
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