Advances in Systems Science and Applications 2021-10-01T19:30:14+00:00 Natalya Pavlova Open Journal Systems <p><strong><em>Advances in Systems Science and Applications </em></strong><strong>(<em>ASSA</em>) </strong>is an international peer-reviewed open-source online academic journal. Its&nbsp;scope covers all major aspects of systems (and processes) analysis, modeling, simulation, and control, ranging from theoretical and methodological developments to a large variety of application areas. Survey articles and innovative results are also welcome.</p> <p>ASSA is aimed at the audience of scientists, engineers and researchers working in the framework of these problems. ASSA should be a platform on which researchers will be able to communicate and discuss both their specialized issues and interdisciplinary problems of systems analysis and its applications in science and industry, including data science, artificial intelligence, material science, manufacturing, transportation, power and energy, ecology, corporate management, public&nbsp;governance, finance, and many others.</p> Simultaneously Robust Chaos Synchronization and Identification of Unknown Parameters for Nonlinear Gyro System 2021-10-01T19:30:14+00:00 Abolghasem Daeichian Shahram Aghaei <p>This paper concerns robust synchronization and parameter identification for nonlinear gyroscope systems. Gyros are widely utilized in navigational applications where synchronization plays a vital role. A system of nonlinear dynamical equations with some parameters presents a model of gyro systems. The parameters of gyro can vary in time, which can lead to desynchronization of the gyro systems. In this paper, we assume that a gyro system has bounded time-varying unknown parameters and the synchronization problem is considered in two situations. First, the synchronization of two gyroscopes with identical dynamical model and, second, the synchronization of a gyroscope with the Rössler system. The Lyapunov stability theory with control terms is employed to cope with the problem. Also, the identification of time-varying unknown parameters is the side goal of the paper. The proposed scheme synchronizes chaotic nonlinear systems in both situations appropriately. In addition, the slave parameters converge to the nominal values of master parameters despite uncertainty. Simulation results illustrate the superiority of the proposed method.</p> 2021-10-01T18:26:50+00:00 ##submission.copyrightStatement## Advanced Technologies for Supporting Operational Decision-Making in Civil Aviation 2021-10-01T19:30:14+00:00 Valentin G. Lebedev Elena L. Kulida <p>In civil aviation, many tasks require the use of modern technologies, in particular artificial intelligence technologies. The features of the crew and dispatcher decision-support tasks that can be solved based on deep neural networks are considered. The features of the intelligent crew interface for improving interaction with the operational decision support system are considered. Optimization of air traffic management by using genetic algorithms is illustrated by the example of two tasks. A special feature of the genetic algorithm for solving the problem of optimizing the sequence and landing times of arriving aircraft is a non-standard crossing operator. A special feature of the genetic algorithm for solving the problem of constructing conflict-free trajectories of a given length at low altitude in conditions of complex terrain is the method of forming the objective function. In conclusion, there is a list of problems that need to be solved for the wider use of artificial intelligence in civil aviation.</p> 2021-10-01T18:27:52+00:00 ##submission.copyrightStatement## On Spectral Decomposition of Generalized Bessel Potentials 2021-10-01T19:30:14+00:00 M. L. Goldman N. H. Alkhalil <p>We establish the localization condition for the γ-means spectral decomposition by the system of fundamental functions of the Laplace operator in an arbitrary multi-dimensional domain. The result is obtained in terms of belonging of decomposing function to the spaces of the generalized Bessel potential. For conditions of localization, we apply the exact estimates for the modulus of continuity of the potential. The generalized Bessel potentials are constructed using convolutions of functions with kernels that generalize the classical Bessel--MacDonald kernels. In contrast to the classical case, non-power singularities of kernels are allowed in the vicinity of the origin. Differential properties of potentials arc described by using the k-th order modulus of continuity in the uniform norm.</p> 2021-10-01T18:28:27+00:00 ##submission.copyrightStatement## Convolution Neural Network Based COVID-19 Screening Model 2021-10-01T19:30:14+00:00 Ashish Nainwal Gorav Kumar Malik Amrish Jangra <p>Coronavirus Disease 2019 (COVID-19) is a high death rate respiratory condition that requires easy-to-reach markers for prediction. The electrocardiograph (ECG) alterations that may occur after COVID-19 hospitalization have not been fully studied yet. COVID-19 also affects heart function, which can be seen on an ECG. As a result, ECG can be used to detect virus-infected individuals. The database consists of ECG images. In this scenario, a convolution neural network (CNN) is utilized to classify COVID-19 ECG. The model is made up of eight layers, including a convolution layer, a max-pooling layer and a dense layer. The ECG image is fed into a CNN model, which classifies the COVID-19 ECG. The model provides us with 98.11% accuracy, 98.6% sensitivity and 96.40% specificity. Although 100.00% of the categorization of normal images and COVID-19 ECGs were not accurately determined by the proposed CNN model, this is the first CNN model to categorize ECG images into normal and COVID-19 classes from the ECG database and provide additional diagnostic to medical experts.</p> 2021-10-01T18:29:00+00:00 ##submission.copyrightStatement## A Controllability Problem for Causal Functional Inclusions with an Infinite Delay and Impulse Conditions 2021-10-01T19:30:14+00:00 Maria Afanasova Valeri Obukhovskii Garik Petrosyan <p>In this paper we study the controllability problem in a Banach space for various classes of functional inclusions with causal operators with an infinite delay, and impulse effects. Basing on the topological degree theory for condensing multimaps, we prove a global theorem on the existence of trajectories for systems governed by functional inclusions. As an application, we obtain generalizations of existence theorems for the controllability problem for a semilinear first order functional differential inclusions of this type and a semilinear functional differential inclusions of a fractional order 0 &lt; q &lt; 1.</p> 2021-10-01T18:29:36+00:00 ##submission.copyrightStatement## The Model of the Production Side of the Russian Economy 2021-10-01T19:30:14+00:00 Nikolay Pilnik Stanislav Radionov <p>We consider the model of the production side of the Russian economy. This model is derived as the solution of the nonlinear dynamic optimization problem of the macroeconomic agent we call Producer. This agent maximizes his discounted profit flow under technologic, demographic and financial constraints. We use the method of relaxation of complementary slackness conditions to transform the model to the more regular one and evaluate its parameters on the Russian macroeconomic data. We show that this model can successfully replicate the large set of Russian macroeconomic indicators such as gross domestic product, loans of producers, volume of fixed assets etc.</p> 2021-10-01T18:30:13+00:00 ##submission.copyrightStatement## Applications of Sine-Cosine Wavelets Method For Solving Drinfel’d–Sokolov–Wilson System 2021-10-01T19:30:14+00:00 Naser Azizi Reza Pourgholi <p>In this article, we use the Sine-Cosine wavelets (SCWs) method to numerically solve the Drinfel’d–Sokolov–Wilson (DSW) system. For this purpose, we use an approximation of functions with the help of SCWs, and we approximate spatial derivatives using this method. The operational matrix based on SCWs has a large number of zero components, which ensures good system performance and provides acceptable accuracy even with fewer collocation points. In the end, to show the effectiveness and accuracy of the method in solving this system one numerical example is provided.</p> 2021-10-01T18:30:47+00:00 ##submission.copyrightStatement## Face Mask Perception during the COVID-19 Pandemic: an Observational Study of Russian Online Social Network VKontakte 2021-10-01T19:30:14+00:00 Alexander G. Chkhartishvili Dmitry A. Gubanov Ivan V. Kozitsin <p>The spread of COVID-19 has forced governments to impose unprecedented restrictive measures on their people. Lockdowns have been introduced in many countries, and most governments have decided to require citizens to wear masks. The current study characterizes users’ attitudes towards the face mask requirements introduced by the Russian government as a response to the COVID-19 pandemic. We study how they relate to other users’ characteristics such as age, gender, and political attitudes. Subscriptions to information sources serve as a proxy for users’ political attitudes. Our results indicate that men and elder individuals—demographic groups that are most vulnerable to COVID-19—underestimate the benefits of wearing face masks, comparing to young people and women who demonstrate a higher rate of approval. We also discovered that users in opposition to the Russian government highly approve of this anti-COVID-19 measure, a result that is quite counterintuitive since the oppositionists should, a priori, negatively perceive all measures taken by the government. Further, we developed a probabilistic model that fixes the relationship between pure types (conservative/oppositionist; reject mask-wearing/approve of mask-wearing) and derived the method of estimating its parameters. We obtained that an oppositionist approves of the face mask requirements with the probability of 0.95. For those who support the Russian government, the odds of approval are merely 0.45.</p> 2021-10-01T18:31:23+00:00 ##submission.copyrightStatement## Neural Network Technologies and Topological Analysis of Social Media Data 2021-10-01T19:30:14+00:00 Nailia Gabdrakhmanova Maria Pilgun <p>Currently, due to the successful use of neural network technologies for analyzing data of various formats, the range of problems that can be solved using mathematical modeling methods has significantly expanded. The paper deals with the topical task of analyzing speech perception by social media data and assessing the level of conflictogenity, social approval / stress of the residents regarding urban planning projects. The purpose of the paper is to develop and show on a practical example the effectiveness of the integration of neural network and mathematical models for solving such tasks. Mathematical models are built using the methods of mathematical statistics and topological data analysis.</p> 2021-10-01T18:31:55+00:00 ##submission.copyrightStatement## On Solvability of Equations Defined by Continuous and Smooth Regular Mappings 2021-10-01T19:30:14+00:00 Sergey Zhukovskiy <p>We consider equations defined by continuous mappings&nbsp;acting between finite-dimensional real vector spaces.&nbsp;It is assumed that the mappings are differentiable in the first variable.&nbsp;A regularity condition for this type of equations is obtained.&nbsp;It is shown that the regularity assumption implies the existence&nbsp;of solutions to the considered equations.&nbsp;Systems of two equations defined by continuous mappings&nbsp;acting between finite-dimensional real vector spaces are considered.&nbsp;It is assumed that the first mapping is differentiable in the first variable&nbsp;and the second mapping is differentiable in the second variable.&nbsp;A regularity condition for this type of systems is obtained.&nbsp;It is shown that the regularity assumption implies the existence&nbsp;of solutions to the considered system. The proofs of the main results&nbsp;of the paper are based on Brouwer's fixed point theorem and global implicit&nbsp;function theorem.</p> 2021-10-01T18:32:28+00:00 ##submission.copyrightStatement##