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Accepted papers
The Role of Subjective Perception in Visualization, Controllability Hypothesis and Abstract Visualization
Alena Zakharova, Aleksey Shklyar, Evgeniya Vekhter
Accepted: 2022-07-27
Abstract
When interpreting and analyzing weakly formalized or non-formalized data, visual analytics tools are used. The paper considers the problem of the influence of subjective factors on efficiency of the visualization tools. Based on the previously proposed and developed semiotic visualization model, a system of initiating factors is formulated that have a significant impact on the effectiveness of visualization tools. A controllability hypothesis is formulated, on the basis of which an assumption is made about limitations of visualization systems It is proposed to take these limitations into consideration when designing new visual analytics tools. Approbation of the assertions presented in the work was carried out on the example of social data.
VISUAL MANAGEMENT AS AN EFFECTIVE ORGANIZATIONAL TECHNOLOGY
N.N. Krupina
Accepted: 2022-07-25
Abstract
The article discusses the essence of the concept, characteristics, tasks and evolution of visual management (VM) from the standpoint of the analysis of the subject content of management and the features of organizational technology. The priority groups of production tasks that are successfully solved with the help of VM tools are identified - communications, safety and efficiency («lean production») of the production and technological cycle. Emphasis is placed on the ability of visualization techniques to present important operational information so that the employee «at a glance» can assess the current state of the working system and quickly eliminate detected deviations from the norm. Based on the principle of continuity of the organization's activities, a method for assessing the quality level of VM is proposed and illustrated on a conditional example. It is proposed to use the method of dynamic standards, which are taken as indicators of «labor productivity», «costs» and «net profit». A map of positioning options for the quality level of VM is given and alternative situations are characterized - productive, efficient, allowed and inefficient levels.
VISUALIZATION OF THE DIGITAL TRANSFORMATION OF INDUSTRIAL PRODUCTION INTO THE EDUCATIONAL PROCESS
V.A. Nemtinov, A.B. Borisenko, V.V. Morozov, Yu.V. Nemtinova, K.V. Nemtinov
Accepted: 2022-07-25
Abstract
This paper considers the technology of creating an industrial production digital prototype, which can be used as a tool at the design and management stages of its functioning, as well as its application in the educational process while training highly qualified technical specialists - during lectures, practical and assessment classes with students. The virtual production space creation was carried out using the software environments Twinmotion, Bigscreen and 3D Vista Virtual Tour Pro. A digital prototype of a machine-building plant was created in the Twinmotion software environment, providing immersive architectural 3D visualization. The created virtual tour in the 3DVista Virtual Tour Pro environment is used for a variety of tasks: online discussion of the designed equipment 3D model; staff training; emergency situations drills; completing onsite educational quests. The Live Guided Tours tool included in 3DVista Virtual Tour Pro allows to conduct real time video conferences inside a virtual tour. The use of a multi-user social VR application for virtual reality Bigscreen provides network participants with the opportunity to meet and interact through avatars inside virtual reality rooms. Thus, the authors proposed an approach to the digital transformation of industrial production into the educational process. It allows us to provide conditions for improving the education quality, exchanging opinions, and mutual counseling. Visualization of a digital prototype of industrial production is available to all Internet users.
Arithmetic in Functional-Voxel Modeling
Alexey Tolok, Natalya Tolok
Accepted: 2022-07-19
Abstract
The paper considers the claim that the function-voxel model allows arithmetic operations over the space of values of two different functions given by a single domain. At the same time, there are three possible approaches to solving the problem, leading to a similar result: functional approach - when the analytical representation of functions is involved in the calculations; functional voxel approach - when voxel data representing local geometric characteristics are used in the construction of local functions for further use in the calculation; voxel approach - when exclusively voxel data is used for sequential recalculation of local geometric characteristics of the model. The basic arithmetic operations on functional voxel models are considered, including such procedures as: addition, subtraction, modulo, exponentiation, taking root expressions, multiplication and division of functional voxel models. It is shown that the obtained applicability of arithmetic operations to functional voxel models leads to obtaining new complex functional voxel models.
On the visualization of multidimensional functions using canonical decomposition
A.K. Alekseev, A.E. Bondarev , Yu.S. Pyatakova
Accepted: 2022-07-14
Abstract
The approximation of a multidimensional function by means of tensor decompositions is considered in terms of storage, processing and visualization of the results of parametric calculations in computational aerogasdynamics problems. An algorithm for calculating the canonical decomposition using a combination of the least-squares variable method and stochastic gradient descent is described. Numerical results for interpolation of functions in six-dimensional space obtained using the canonical decomposition are presented, demonstrating high computational efficiency and quality of results. Visual representations of the results are shown.
METHOD OF VISUALIZATION GEOINFORMATIVE DATA: ON EXAMPLE OF REFERENCE ARCHAEOLOGICAL OBJECTS
O.A. Ulchitskiy, E.K. Bulatova, E.K. Podobreeva, O.M. Veremey
Accepted: 2022-07-13
Abstract
The article reveals the results of an interdisciplinary study aimed at improving laboratory methods for collecting, analyzing and synthesizing geodata necessary to expand the methodological apparatus in scientific fields for the study and preservation of cultural heritage sites in vast areas, using triangulation in building a geogrid with reference to satellite cards. Data visualization significantly complements natural and instrumental methods of collecting information, searching, fixing, systematizing and inventorying in areas that are difficult to access for field research methods.
Fixation and binding of control points to the geogrid by the triangulation method is due to a number of advantages: the accuracy of building and fixing the binding objects, the possibility of scaling the grid, the triangulation algorithm along the smallest diagonal of the quadrilateral.
As a result of assigning properties of modifiers to reference points, which were selected as reference archaeological objects - the ruins of fortified settlements on high-resolution satellite maps, layers of inter-object edge connections were formed, which, when certain properties of modifiers were turned on, were displayed as differently colored edges on the geogrid, fixing invariants patterns of these relationships.
In the final experiment, we obtained a hybrid visualization of layers based on the specified properties of modifiers for edge connections, between reference objects in the geogrid system, which made it possible to obtain more objective results under the given conditions than by methods of constructing linear links by coordinates, using tracing and routing.
As an implementation of the results of testing the method, a project of an interactive scalable cartographic scheme with visualization of data on the objects under study and their relationships in a large location has been developed.
Single Image DnCNN Visibility Improvement (SImDnCNNVI)
Sangita Roy
Accepted: 2022-07-13
Abstract
The presence of fog, haze, or atmospheric particles reduces visibility which is an under-constrained challenging classical problem due to ambiguous scene radiance and transmission. Consequently, digital images captured under such conditions suffer from poor recognition. In this work, a fast single image physics based inversion scattering model is adopted to overcome these limitations. Denoising convolutional neural networks (DnCNNs) model is well suited for blind Gaussian denoising in a learning framework at hidden layers. With the DnCNN blind denoised depth map, high-quality transmission is estimated and finally by inverting scattering image formation model, a clear image is obtained along with tuned haziness factor. The proposed algorithm performs well compared to sixteen state-of-the-art methods qualitatively and quantitatively on Ground Truth (GT) O-Haze dataset. Output images are appealing, halo free, edge preserved, colour balanced, clear.
Software package for visualization and modeling based on BPMN notation
N.D. Badanina, V.A. Sudakov, N.A. Yàshin
Accepted: 2022-06-27
Abstract
The article is devoted to the creation of software for visualization of complex processes. Since scientific organizations and business structures have demand for analysis and optimization of ongoing processes, the task of its effective modeling and visualization with the possibility of interaction is relevant. The software solutions available on the market are focused either on a static representation of the subject area, without the possibility of conducting computational experiments and optimizing solutions based on them, or on the use of non-standardized representations. A program has been developed that has the ability to animate the visualization of a loaded BPMN scheme, and also contains functionality for modeling the process described by the scheme, with the possibility of flexible parameter adjustment. The developed visualization program displays the result in the browser where on top of the BPMN model sets a layer with animation of the involved resources moving according to the scheme. The work also focuses on aspects of optimization, collecting statistics for subsequent analysis, modeling the process for a given number of time units. This functionality is included in the developed program and can be used both in console mode and in a web browser.
Modeling of biological microreliefs using the photogrammetry method (on the example of scales of cycloid type)
M.L. Tyagun, T.A. Khodzher
Accepted: 2022-06-10
Abstract
The paper proposes a method for modeling biological microreliefs using a digital photogrammetric system that analyzes the data of stereopair images of a relief object obtained using a scanning electron microscope (SEM). The method allows to analyze the principle of organization of both complex and simple objects, which design requires clarity or clarification.
Using this method, the authors can describe the principle of organization of the cover relief layer of fish cycloid scales, which is characteristic of most Teleostei (contemporary fish). The resulting three-dimensional image is informative in relation to the need to determine the age of the fish.
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