
Accepted papers
Image monitoring and recognition processing based on neural network
Min, Y. Zhengkun
Accepted: 20200505
Abstract
With the development of economy and the abundance of material, people tend to travel. In the peak season of tourism, the scenic spots are crowded and easy to cause trample and safety problems. The traditional monitoring methods are rigid and have low recognition accuracy. This paper briefly introduced the image monitoring and recognition system and the backpropagation (BP) neural network used for identifying the trampling risk areas in the monitoring images. After that, the image monitoring and recognition system was simulated by using MATLAB software, and it was compared with the traditional entropy method and stateoftheart CNN. The results showed that the three methods could identify the area with trampling risk in the image, but the image monitoring and recognition system designed in this study was more comprehensive and had lower false alarm rate and shorter recognition time than the traditional information entropy method and stateoftheart CNN. In summary, the image monitoring and recognition system designed in this study can efficiently and accurately identify the trampling risk areas in the monitoring images.
Modeling and visualization of an explosion in sandy soil. Calculation and experiment
V.A. Kuzmin, V.A. Kikeev, S.I. Gerasimov, V.I. Erofeev, V.P. Gandurin, N.A. Trepalov, E.G. Kosyak, P.G. Kuznetsov
Accepted: 20200501
Abstract
The shadow background method is actively used for visualization of flows that occur in a gas environment. However, the capabilities of the method can be used to visualize disturbances in an opaque continuous medium. In this case, in addition to traditional highspeed video shooting, a "background screen" is used in the form of an initial nonuniform randomly distributed picture of the surface grains of the medium being studied. When perturbations are propagated in this area, they are visualized using crosscorrelation analysis. It is of interest to determine the sensitivity of the method in the application of important tasks of sensing media by buried explosions. An additional advantage of using the shadow background method is its visual verification of the numerical solutions used.
The paper considers an experimental and calculated study of the explosion of an explosive charge in a dry sandy soil with a density of 1.5 g/cm3. During the experiment, opticalphysical registration of the process of perturbation development on the ground surface was used. Using a crosscorrelation image processing algorithm, the diameters of the perturbation zone and the height of the dome were determined. The results of numerical simulation are also presented. Comparison of calculated and experimental data on the height of the sandy soil discharge showed their satisfactory correspondence, which indicates the adequacy of the applied mathematical model.
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.
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 shape visualization of a magnetic anisotropy energy density of singledomain magnetic 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.
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.


