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Accepted papers
Multiscale analysis of high resolution digital elevation models using the wavelet transform
A.N. Zemtsov
Accepted: 2023-11-24
Abstract
A technique is proposed for choosing the optimal wavelet basis in terms of decorrelation of the spectral coefficients of the wavelet basis when solving the problem of representation of digital elevation models. In the course of the work, it was revealed that the selection of the spectral transform basis significantly affects the accuracy of the representation of the original model. The proposed method to the decomposition of digital elevation models based on the discrete wavelet transform does not require large computational costs. A technique is proposed for selection the optimal wavelet basis from the position of the minimum mean square error of the reconstructed signal, when quantizing the high-frequency expansion coefficients. Expressions are obtained for generating scaling and wavelet functions in R^3 space. The method developed to represent digital elevation models has good properties, which allows to significantly increase the resolution of digital elevation models in the implemented regional geoinformation system.
ИНФОРМАЦИОННАЯ СРЕДА ДЛЯ ИНДУСТРИАЛЬНОГО И НАУЧНО-ПОЗНАВАТЕЛЬНОГО ТУРИЗМА С ПРИМЕНЕНИЕМ ГИС
О.А. Ульчицкий
Accepted: 2023-11-24
Abstract
Тематика заявленного исследования обусловлена необходимостью развития современных методов и технологий информационного обеспечения туристической отрасли регионального профиля с учетом его специфики и особенностей. Информированность и комфортные условия обслуживания туриста – это ключевые факторы успешного продвижения и устойчивого развития данной сферы. В ближайшее время, у внутреннего туризма наметились большие перспективы, это касается многих территорий страны, не исключением является и Южный Урал.
Статья является продолжением научно-исследовательской работы, связанной со сбором и анализом геоданных, а также визуализацией информационной среды. В данном исследовании показано как на основе разработки проекта интерактивной схемы с возможностью ее наложения на масштабируемую спутниковую карту можно графически визуализировать информацию в области индустриального, научно-познавательного туризма и архитуризма, на примере отдельно взятого слоя «Страна городов» для объектов расположенных на территории Южного Урала.
В исследовании на основе программной утилиты «Сетка картограммы референсных археологических объектов» разрабатывается проектная концепция функционала интерфейса утилиты «КРОТ-1.0» («Картограмма референсных объектов туризма. Версия 1.0») и апробируется как интерактивная картограмма на Интернет-платформах.
Методологически, процесс исследования состоит из 2-х этапов: предпроектный или сбор данных с формированием каталога базы данных и проектно-исследовательский, с внедрением результатов, состоящий в разработке проектной концепции утилиты и её интеграции с веб-ресурсом, разрабатываемым на платформе некоммерческих СMS; анализ и сравнение полученных результатов на разных платформах, публикация или размещение разработанных интерактивных схем на внутренних серверах и Интернет-платформах с дальнейшей перспективой разработки мобильных приложений для обеспечения информационной среды в различных сферах регионального туризма.
Multiple cubes growth algorithms for simple REV determination on 3D binary images
R. I. Kadyrov
Accepted: 2023-11-17
Abstract
Porosity analysis is fundamental for understanding various material properties and transport phenomena in scientific and engineering disciplines. This study delves into the challenging task of determining the representative elementary volume (REV) in porous media, crucial for accurate analyses. Two novel algorithms, Center-Corner Cubes Growing (3CG) and Random Cubes Growing (RCG), were proposed and tested on synthetic body-centered cubic (BCC) sphere packing and natural porous structures of Berea sandstone and Indiana limestone, obtained using µCT. First algorithm (3CG) operates by analyzing porosity within cubes growing from each of the eight corners and a central region of a 3D binarized stack. In contrast, the Random Cube Growing (RCG) algorithm randomly selects seed points within the 3D stack and grows cubic regions around them. Both algorithms systematically compute porosity for various cube sizes, determining the average porosity and standard deviation for each extent. These visual analytics tools contribute to identifying the specific size ranges where porosity curves converge and stabilize, indicating potential REV within the material. While 3CG simplifies the approach by focusing on a limited number of curves, RCG provides a broader view, capturing diverse porosity patterns. The absence of consistent local minima in certain cases indicates high porosity heterogeneity and the impossibility of achieving REV in certain sample sizes.
Using Data Fabric Architecture to Create Personalized Visual Analytics Systems in the Field of Digital Medicine
S.I. Chuprina
Accepted: 2023-11-12
Abstract
The paper describes an innovative approach of applying data factory technologies, which have found their successful practical application to create new generations of corporate data warehouses, are proposed to be used to develop personalized visual analytics environments. The approach provides access to digital data of a particular person from both heterogeneous distributed external and local sources not on the principles of their consolidation, but on the principles of virtual integration. The application of the described approach is demonstrated by the example of the development of visual analytics tools in the field of digital medicine. The emphasis is on the technological aspects of applying the concept of data factories for the development of personalized visual analytics services, means of semantic integration of heterogeneous data sources and their adaptation not only to heterogeneous structured and unstructured data sources, but also to the semantic content of various subject areas.
MATHEMATICAL MODELING AND VISUALIZATION OF THE COMPLEX STRESS STATE DURING A DIAPHYSEAL FEMORAL FRACTURE
K.N. Krupin, M.A. Kislov, V.I. Bahmetev, E.M. Kildyushov
Accepted: 2023-11-05
Abstract
The purpose of this work is to establish the possibility of using the finite element analysis method to study complex stress states in case of a femur fracture with subsequent data visualization. Experimental data were obtained on a solid-state mathematical parametric model of the femur, created on the basis of computer tomogram data, and repeating studies on native biological objects. As a result of mathematical modeling, oblique transverse and helical fractures of the diaphysis of the femur with elements of helical deformation were studied. The application of finite element analysis made it possible to visualize and predict the stresses arising in bone tissue under the impact of a blunt solid object in a complex stress state and the morphological features of femoral shaft fractures under different torsional loading forces of the proximal part of the femur. The data on the mechanism and morphology of the femoral shaft fracture obtained during modeling are confirmed by the results of original full-scale experiments.
Functional-voxel modeling of the Cauchy problem
A.V. Tolok, N.B. Tolok
Accepted: 2023-11-05
Abstract
The paper considers an approach to solving the Cauchy problem for an example of a partial differential equation of the first order under given boundary conditions by the functional voxel method (FVM). The proposed approach uses the accumulated experience of differentiation and integration into FV- modeling to obtain local geometric characteristics of triangular elements on the surface of the resulting function in the process of linear approximation. The analytical solution of a simple example of a partial differential equation of the first order for the Cauchy problem is analyzed. Based on the obtained analytical solution, FV-model is constructed for further comparison with the results obtained by means of FV-modeling. The algorithm for solving the example is described by means of FV-modeling. A visual and numerical comparative analysis is carried out to determine the difference between the obtained results of FV-modeling and the accepted standard. The main difference between solving such a problem by numerical methods is the results obtained. In numerical methods, the result is the value of the function at the approximation nodes, and the FV-model at the nodes contains local geometric characteristics (gradient components in a space enlarged by one), which makes it possible to obtain a nodal local function of an implicit form, as well as a differential local function of an explicit form. The proposed graphical representation of the function area on a computer provides not only visual visibility, but also compact storage compared to a traditional array of real numbers.
Visualization of deformation and stress waves in wooden solid and glued elements of building structures
P.G. Romanov, P.V. Sivtsev
Accepted: 2023-11-04
Abstract
The basis of the research hypothesis is the assumption that in wooden structures, deformations and stresses propagate in waves. The numerical experiment demonstrated a correct qualitative visual picture of the wave propagation of deformations, with wave manifestations and characteristic effects on the surface of the sample, at axial and corner points. Visually, the numerical model showed Rayleigh waves on the surface layer of the sample, depending on the ratio of the external geometric dimensions of the sample model, with pronounced wave interference on the outer shell. The visual manifestation of deformation on the outer sides (faces) and the reflection of deformation waves from the outer boundaries of the elastic medium of the sample in the form of Rayleigh waves confirm the correctness of the general hypothesis and the implemented model. Visualization of the process of emergence, propagation and attenuation of deformation waves on the surface of the sample shows that in the quantitative description of the deformation gradient, areas dangerous for the material can be identified.
Halocline internal wave attractors visualization
Stepan Elistratov
Accepted: 2023-10-19
Abstract
The phenomenon of wave attractor, originating from ocean dynamics, in the last couple decades has become widely-studied both laboratorily and numerically. However, their discoveries in wild nature are still rare hence deepwater ones are out of technique, and attractor in smaller basins cannot form because of energy overinjection. In the current work we show that attractor may exist in shallower depths regardless the depth of the basin’s bottom. Basing the peculiar dispersion relation typical for stratified fluid attractors can be ”trapped” in a narrow halocline layer which may facilitate their detection in the nature. Additionally, we discuss the formed flow structure visualization problems.
Structure visualization of 4-DASPI–cucurbituril supramolecular complex to predict the solvatochromic shift of absorption spectrum
,
Accepted: 2023-10-18
Abstract
Исследование супрамолекулярных комплексов «гость–хозяин» в растворах имеет фундаментальное и прикладное значения. Интерес к The study of supramolecular “host-guest” complexes in solutions is of fundamental and practical significance. The structures and formation enthalpy of supramolecular complexes for the 4-DASPI dye with two cavitands (cucurbit[6]uril and cucurbit[7]uril) have been obtained by the TDDFT quantum chemistry method with a camb3lyp basis. It was shown by visualization of the structures that the size of cucurbit[6]uril is too small and doesn’t allow the dye chromophore to penetrate into the cavitand cavity while the dye stays in the ground state, but the formation of an external complex is possible. On the contrary, formation of an inclusion complex with the cucurbit[7]uril is energetically favorable, and the dye chromophore penetrates into the cavity. Visualization of the complex structure allows us to determine the chromophore position relative to the given cavitand cavity, and thus we can predict the changes in the dye spectra due to complexation. The theoretical results of the work are in good correlation with the experiment.
Data analysis by visualization method using augmented reality
M.A. Epifanov, V.V. Pilyugin, V.V. Klimov
Accepted: 2023-10-18
Abstract
In this paper, the authors describe the history of augmented reality and its applicability in scientific visualization and visual analytics. The study explores the benefits of using this technology for analysts studying spatial scenes and presents an advanced online platform for creating augmented reality projects used for educational purposes.
THE SPECTRUM OF SUPERSONIC FLOW AROUND AN AIRCRAFT WITH CONTROL BRAKE SHIELDS
S. I. Gerasimov, A.A. Glukhov, V.A. Kikeev, I.Yu. Smirnov, K.V. Totyshev
Accepted: 2023-10-18
Abstract
The article presents the results of the study of the spatial flow pattern of the aircraft model, the study of the flow structure near the surface of the aircraft by experimental and numerical methods. Comparative materials for visualizing flows around a conical model with a stern control body – a flat end shield during supersonic flight in atmospheric pressure air are presented. The difference from the qualitative flow pattern according to experimental spectra at M≈4 and M≈5.5 lies in the presence, in addition to the formation of a breakaway flow zone in front of the shield, an oblique jump of the seal (from the point of separation of the flow) and a more intense direct jump of the seal, the possibility of the appearance of a flow separation zone induced by the shield on the side of the model surface opposite the shield, with the formation of an oblique jump of the seal. The efficiency of increasing the number of brake shields installed on the cylindrical-conical model is considered. The results of measurements of the dependence of the increments of the drag coefficient of the tested models on the area of the shields are presented.
Evaluating Computer Interactions and Infographics Usability: Analyzing Individual’s Performance through Viewing Patterns
Suzan M. Alyahya
Accepted: 2023-10-15
Abstract
Computer interactions and infographics are important to represent and communicate complex information. The impact of visualization and its effect on learning the results of interaction with multimedia instruction reveals a great deal. Eye tracking is the method used to examine the graphical processing. Therefore, the present study aims to examine computer interactions and infographic usability by conducting verbal and visual performances test on undergraduates. The 62 undergraduate females were recruited as the study sample and presented the video of Napoleon's march to Moscow. This study identifies how long, where, and in what order or when accompanied with text and what’s the participant's pattern on Minard maps. The performance test scores and the verbal visual learning style rating included the visual and verbal variables. The tools that are used to enhance the results are heat maps, cluster and scan paths. The 62 undergraduate females results shows that there is a fundamental difference in verbal and visual learning participants in viewing pattern on the heat map. The heat maps, clusters, and scan paths were combined for the distinct groups to provide a more complete picture of viewing patterns using Tobii Studio Software. The study results indicate that visual content was remembered by most of the participants and also indicated that the visual effects in multimedia learning environments and can be utilized to improve the multimedia design. Therefore, the study concluded that infographic and computer interactions are an effective approach for enhancing the understanding and usability of students.
Possibility of Using the Gershberg-Papoulis Method in the Problem of Phase Structure Reconstructing from Low-angle Hilbertograms
Arbuzov Arbuzov, V.A. Arbuzov, Yu.N. Dubnishchev, O.S. Zolotukhina, M.M. Lapikov, V.V. Lukashov
Accepted: 2023-10-08
Abstract
The possibility of processing small-view hilbertograms by the Gershberg-Papulis method to restore the refractive index of phase objects is discussed. The method consists in iterative transitions from estimating a function in the Fourier plane to estimating it in a coordinate space with an adjustment using a priori information. The spectrum of the function is determined on the entire frequency plane as an iterative process result Numerical simulation of the refractive index reconstruction for various test functions was performed using the Gershberg-Papulis method using Radon data known for four angles. Experimental studies on the Hilbert diagnostics example of reacting media (flames) in a high-speed shooting mode (up to 2000 frames per second) were performed using a four-angle tomographic complex implemented on the basis of an upgraded IAB-463M shadow device.
Explorative Bibliometric Study of Medical Image Analysis: Unveiling Trends and Advancements
Binu Thomas, Jeena Joseph, Jobin Jose
Accepted: 2023-10-04
Abstract
Medical image analysis has quickly advanced, with several advantages for research, diagnosis, and healthcare planning. We must have enough knowledge of current trends and developments in this field due to improvements in medical imaging technology and the accessibility of a wide range of medical image databases. This work covers the research environment for bibliometric analysis of academic articles as part of medical image analysis, utilizing the tools VOSviewer and Biblioshiny. The Scopus database contains 1,973 articles submitted between 1988 and 2023; all have been gathered and examined. The study has focused on the key bibliometric elements, such as authorship patterns, highly cited papers, prestigious journals, and collaborative networks. The outcomes of our inquiry demonstrate its interdisciplinary nature. This bibliometric analysis is a valuable resource for researchers, practitioners, and decision-makers, allowing them to identify significant trends, identify knowledge gaps, and explore prospects for further advancements in this critical field by providing a comprehensive overview of the literature on medical image analysis.
Hysteresis phenomena in a liquid sessile drop on a stretchable inclined elastic substrate
V.A. Dekhtyar, A.E. Dubinov
Accepted: 2023-10-01
Abstract
The authors studied states of liquid sessile drops on a stretchable inclined elastic substrate to find out peculiarities of the contact angles hysteresis by digital optical microscopes. The drop elongation and contact angles were recorded on the stages of the band stretching and contraction. An anomalous behavior of the drop was found on the first step of the contraction during which the measured drop parameters remained unchanged. Finally, a new hydrophysical effect was found. It is hysteresis of the drop states, on the background of which the contact angle hysteresis exists.
Visualization of a graph model of medical drugs and their classes with subject to incompatibility
A.A. Karandeev, N.A. Iashin, R.A. Kudryashev
Accepted: 2023-09-11
Abstract
Currently, the world is actively undergoing digital transformation, which is associated with the introduction of digital technologies in various fields. Methods for predicting and combating various types of diseases are being developed more and more actively. A separate place in this issue is given to pharmacology and reducing the risks of poly-pharmacotherapy. Works in this area have become more and more active in the last three years, and relate primarily to the problems of experimental medicine - the search for new drugs or classification of patients by images. In this connection, the development of algorithms for processing big data in the field of clinical pharmacology, including regulatory documents, instructions for the use of drugs, reliable medical resources for machine learning and building a knowledge base focused on practical application in real medical practice, is becoming increasingly important.
One of the considered approaches for solving the problems described above is the search for an effective vector representation of the found concepts (word embedding) to build models of recommendations for the practical use of drugs based on the diagnosis and models for identifying their compatibility. The article presents a software tool for visualizing a graph model of medicines and their classes, considering their incompatibility. The problem of incompatibility of medicines is being investigated. The considered database of medicines, obtained from various sources, and the advantages of its use are described. The article presents the results of the developed prototype of a software tool that allows you to visualize a complete graph of relationships between drugs, a graph of incompatible drugs for a selected drug, and a graph of compatibility of two drugs. Graph model visualization provides a visual representation of complex relationships and allows researchers and pharmacologists to better understand interactions between drugs. The software offer the necessary tools to make informed decisions when prescribing medications and improve safety when using medicines.
Application of an agent model of interactive visualization to create means of visual management of ontological data
D. S. Razdyakonov, D. I. Muromcev
Accepted: 2023-08-23
Abstract
The paper presents an agent-based model of interactive visualization and proposes a method for its application for the development of visual management tools for ontological data. The process of user interaction with visualization is represented as a graph of states, where each node is a separate visualization, the initial state is known, and the final state is formed in the process of user interaction with the ontological data visual management tool. Each individual visualization as part of the state graph is placed in a multidimensional Euclidean data space which is formed from the visualized ontology, which makes it possible to calculate the weight coefficients on the edges of the state graph and perform a search in the graph using well-known algorithms. The use of the model allows you to reduce the complexity of executing user scenarios by reducing the step-by-step construction of visualizations to the task of searching in the state space.
Modifications of classical surface reconstruction algorithms for visualization of a function defined on a rectangular grid
N.V. Munts, S.S. Kumkov
Accepted: 2023-08-13
Abstract
In the paper, modifications of visualization algorithms for real-valued functions of two and three arguments given on a rectangular or parallelepipedal grid are considered. In the case of two arguments, the graph of the function is a surface embedded into the three-dimensional space. The majority of scientific visualization systems offer visualization procedures for such surfaces, but they restore them under the assumption that the functions are continuous. In the paper, for the case of a discontinuous function, a modification of this algorithm is proposed. In addition, the algorithm removes “plateaus” that occur after cutting the function at some level (in order to remove too large values).
Visualization of a function of three arguments implies showing its level sets, that is, regions of the space of arguments where the magnitudes of the function do not exceed a certain value. In the case of a grid function, such sets are “voxel” sets, that is, they are composed of grid cells. With that, some smoothing of the surface of such sets is required, which is carried out by the Marching Cubes algorithm and algorithms of the Laplacian family. A modification of the Marching Cubes algorithm is proposed, which preserves the symmetry of the set surface with respect to the coordinate planes, axes, or some point, if the rendered set has such a symmetry.
Applicability of Visualizations on the Poincare Sphere for The Study of Oscillatory Processes in Photochemical and Photoelectrochemical Systems Including Photoinduced Processes in Semiconductors
O.V. Gradov
Accepted: 2023-08-05
Abstract
The use of visualization on the Poincaré sphere for the analysis of self-organization in semiconductors is quite exotic, however, it does not have physical reasons that would make it impossible to implement this approach. We propose to use the Poincaré sphere visualization method to analyze fluctuations and oscillations in the experimentally measurable concentrations of different ions in self-organizing media, including semiconductors and their precursors under conditions of photoinduced self-organization and microwave-induced self-organization (as well as to analyze the oscillatory impulse wave behavior of their self-organization products in ultrafine form as dispersed semiconductor devices). Approbation of this principle is carried out by means of projection onto the sphere of phase portraits of these types of vibrations, which is equivalent to the implementation of an operator that projects a 2D planar graph onto a 3D sphere.
Spectroscopy of Testicular Tissues as a Tool for Azoospermia Visualization During Micro-TESE and IVF: a Feasibility Study
S.O. Yudovskii, A.A. Zolotukhina, A.V. Guryleva, A.S. Machikhin, L.V. Reshetov
Accepted: 2023-07-21
Abstract
Non-obstructive azoospermia observed in 10% of infertile men and 0,6% of all men is the most severe form of male infertility. The histological structure of testicular tissue in patients with non-obstructive azoospermia is heterogeneous and is represented by various disorders of spermatogenesis. The only way to achieve pregnancy in the families of patients with non-obstructive azoospermia is the method of in vitro fertilization with intracellular sperm injection. The most effective method of detecting spermatozoa suitable for in vitro fertilization in testicles is the micro-TESE method. It is based on a subjective visual assessment of tissues and allows detecting spermatozoa in non-obstructive azoospermia only in 38-60% of cases. To increase the effectiveness of micro-TESE, the method used must be objective, high-specific, safe for reproductive cells, and also implemented during the operation in real time. The existing approaches to solving the problem of identifying seminal tubules with preserved spermatogenesis, such as multiphoton microscope, Raman spectroscopy, optical coherence tomography and etc., are either associated with the use of laser radiation with unproven safety or cannot be implemented intraoperatively and operationally. The paper considers the possibility of creating a specialized microsurgical system for intraoperative evaluation of testicular tissues histological structure using the spatial distribution of its spectral characteristics. We proposed to implement such a system based on multispectral imaging of the studied tissues with real-time data processing and displaying the results using augmented reality methods. The reflectance spectrum of testicular tissue with varying degrees of preservation of spermatogenesis in the visible and near infrared spectral ranges was studied. Spectral regions were identified that potentially provide the best differentiation of healthy tissues and tissues with impaired spermatogenesis. The described approach can be implemented intraoperatively and safely and may serve to automate and objectify the diagnosis of testicular tissues in micro-TESE.
Visualization of Radiation Scattering Indicatrix on a Polydisperse System of Spherical Particles
M.V. Sapronov, S.S. Usmanova
Accepted: 2023-07-19
Abstract
The article is devoted to solving the direct problem of light scattering on an ensemble of spherical polydisperse particles. The paper presents an algorithm for computer simulation of the optical radiation scattering indicatrix by a particle system based on the theory of G. Mi. The influence of the relative complex refractive index of scattering centers and their size distribution, wavelength and polarization state of incident light on computer models of scattering indicatrix is investigated. The practical significance of the results obtained lies in the fact that computer models of scattering indicatrix are useful in the experimental study of dispersed systems by static light scattering for the optimal choice of installation parameters and experimental conditions and, more importantly, in solving the inverse problem of the static light scattering method to restore the characteristics of nanoparticles from experimental data.
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