Advances in Systems Science and Applications 2021-07-02T20:05:53+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> Smart Control Mechanisms in Digital Technologies of Decision-Making 2021-07-02T14:54:41+00:00 Vladimir N. Burkov Irina V. Burkova Viktor G. Zaskanov <p>This paper considers the problems of adopting digital technologies in decision-making. Two types of digital decision technologies are described, namely, the direct (or traditional) technology with human decision-making based on computer-aided advisor systems and also the inverse technology with independent computer decision-making in which a human merely monitors the decision process. These technologies are compared with each other, and some applications are discussed.</p> 2021-06-30T00:00:00+00:00 ##submission.copyrightStatement## Uncertain Controllability and Observability of an Optimal Control Model 2021-07-02T14:54:41+00:00 Tolulope Latunde Adam A. Ishaq Adedayo F. Adedotun Joel O. Ajinuhi Olumuyiwa J. Peter <p>The interest of this paper is to examine the controllability and observability of a control system in the configuration state-space of an uncertain optimal control system. The control system is designed based on the realization of capital asset values where a special case of asset management is modelled and optimized. Thus some necessary and sufficient conditions of the controllability and observability of the deterministic systems and the corresponding uncertain systems for the case of the uncertain optimal control system with application in capital asset management are considered.</p> 2021-06-30T00:00:00+00:00 ##submission.copyrightStatement## Using Patent Landscapes for Technology Benchmarking: A Case of 5G Networks 2021-07-02T14:54:41+00:00 Dmitry Kochetkov Marat Almaganbetov <p>Patent Landscape Reports (PLR) have long been used in business, science and R&amp;D. They enable data-driven decision making and minimizing the risks of strategic technology choices. The authors analyzed the patent landscape for 5G wireless communications using the PatentSight® software product. Among the companies, the clear leader by the Patent Portfolio Index is Samsung Electronics; among countries, it is USA and China. However, patents of high technological relevance and/or commercial value may appear in small tech companies, or as a “by-product” of other corporate activities. The research results are of interest to researchers and practitioners involved in the development and implementation of 5G technologies.</p> 2021-06-30T00:00:00+00:00 ##submission.copyrightStatement## Cooperation Between SMEs and Large Industrial Enterprises: Russian Case 2021-07-02T14:54:41+00:00 Olga A. Romanova Evgeny A. Kuzmin Marina V. Vinogradova Olga S. Kulyamina <p>In the modern global economy, the system of functional cooperative relations that lead to the formation of hybrid structures – production networks has become actively spread. However, the strength and scale of cooperation are not uniform. Using the example of Russia, the authors consider the effectiveness of the production network of cooperation between small and medium-sized enterprises with large companies. We tested a number of hypotheses based on common ideas about the effects of cooperation. Empirical results make it possible to clarify the mechanism of formation and features of interfirm production chains in Russia. The “anchor” role of large enterprises with state participation as centers of cooperation formation is noted. In the course of the study, 14 enterprises were selected, distributed across key sectors of the Russian economy. Statistical and correlation analysis methods were used to evaluate the effects of cooperation. The results showed that the orders placed by large manufacturing enterprises with small and medium-sized enterprises increased over the period of 2015–2019. “Anchor” enterprises, as a rule, reduce the production localization degree. However, this does not have a significant impact on improving the profitability of their activities, and also does not depend on the share of state participation. Besides, placing orders with small and medium-sized enterprises does not allow them to reduce the number of employees. Many of the expected internalities that are characteristic of cooperative relations in developed countries are not reflected in the specifics of the Russian economy, or their manifestation is limited. The Russian experience clearly demonstrates the weakness of cooperative partnership, although with positive trends of change. There is a need to further improve the mechanisms for supporting small and medium-sized enterprises in the production sector, aimed at creating sustainable networks. The proposed approach can be applied to assess inter-firm production chains in other countries. A comparative study will determine the strength of the formation of production networks across countries, which will expand the understanding of the economic processes of networkization.</p> 2021-06-30T00:00:00+00:00 ##submission.copyrightStatement## Deep Learning Techniques for Detection of COVID-19 using Chest X-Rays 2021-07-02T14:54:41+00:00 Alampally Naveen Boddu Manoj Golla Akhila Maunil Bipinkumar Nakarani Jaini Rathna Sreekar Pradyumn Beriwal Nipun Gupta Swathi Jamjala Narayanan <p>The COVID-19 pandemic situation keeps on ruining and affecting the wellbeing and prosperity of the worldwide population and due to this situation, the doctors around the world are working restlessly, as the coronavirus is increasing exponentially and the situation for testing has become quite a problematic and with restricted testing units, it’s impossible for every patient to be tested with available facilities. Effective screening of infected patients through chest X-ray images is a critical step in combating COVID-19. With the help of deep learning techniques, it is possible to train various radiology images and detect COVID-19. The dataset used in our research work is gathered from different sources and a specific new dataset is generated. The proposed methodology implemented is beneficial to the medical practitioner for the diagnosis of coronavirus infected patients where predictions can be done automated using deep learning. The deep learning algorithms that are used to predict the COVID with the help of chest X-ray images are evaluated for their prediction based on performance metrics such as accuracy, precision, Recall, and F1-score. In this work, the proposed model has used deep learning techniques for COVID-19 prediction and the results have shown superior performance in prediction of COVID-19.</p> 2021-06-30T00:00:00+00:00 ##submission.copyrightStatement## Case Study: Influence of Muscle Fatigue and Perspiration on the Recognition of the EMG Signal 2021-07-02T14:54:41+00:00 Narek Unanyan Alexey Belov <p>EMG data processing and muscle activity recognition has become the most popular method for upper limb prosthetics. The high sensitivity of EMG sensors with respect to external disturbances and other factors prevent from accurate muscle activity recognition. The aim of the paper is to investigate robustness of window recognition method with respect to muscle fatigue and perspiration of the forearm skin. The current experiment was carried out using Arduino nano microcontroller connected to EMG sensors. The subject under study is a healthy man of 26 years old with an average build. The subject was asked to do physical exercises, thereby loading the muscles of the fingers of the hand to achieve partial or complete fatigue and perspiration. During the whole process, EMG sensors have installed on the subject and transmitted the signal to the computer using Arduino. All signal processing is done directly on the computer with a pre-recorded signal. Experimental results have been shown that with the appearance of external factors during prosthesis operation recognition accuracy may degrade to unsatisfactory. False positives occur with perspiration of skin surface and complete muscle fatigue. An algorithm for automatic self-correction of the boundaries of motion detection zones has been introduced. Instead of identification of causes that leads to performance degradation, we use correction scheduling started by timer. Experimental results have shown that proposed automatic adaptive correction is effective. Despite higher recognition delay, proposed auto-tuning method provides satisfactory muscle activity identification and feature extraction in real-time.</p> 2021-06-30T00:00:00+00:00 ##submission.copyrightStatement## Algorithm for Optimal Two-Link Trajectory Planning in Evasion from Detection Problem of Mobile Vehicle with Non-Uniform Radiation Pattern 2021-07-02T14:54:41+00:00 Andrey Galyaev Pavel Lysenko Victor Yakhno <p>The problem of an optimal PP/TP (path/trajectory planning) evasion of a mobile vehicle from the detection is considered. The objective is to minimize the risk of a moving vehicle being detected by a static sensor when moving between two specified points on the plane. Detection is based on the primary acoustic field emitted by a vehicle with an inhomogeneous radiation pattern. An algorithm for finding a two-link optimal trajectory is proposed. The optimal trajectory and the law of speed of a mobile vehicle, as well as the value of the criterion, are found.</p> 2021-06-30T00:00:00+00:00 ##submission.copyrightStatement## Stability Analysis and Optimal Measure for Controlling Eco-Epidemiological Dynamics of Prey-Predator Model 2021-07-02T14:54:41+00:00 Jamiu A. Ademosu Samson Olaniyi Sunday O. Adewale <p>An eco-epidemiological model representing the interactions between prey and predator populations affected by a disease in an ecosystem is presented. The model is governed by a five-dimensional nonlinear system of ordinary differential equations coupling both ecological and epidemiological features of interacting populations. The well-posedness of the model is established with respect to positivity and boundedness of solutions. Conditions for asymptotic stability of different equilibrium points are extensively investigated to determine the existence and coexistence of prey and predator species using local linearization and Lyapunov functions techniques. Additionally, the analysis of the model is extended to assess the effects of three time-dependent control functions, such as disease prevention, treatment and alternative resource for predator, on the population dynamics of the prey-predator coexistence in the system.</p> 2021-06-30T00:00:00+00:00 ##submission.copyrightStatement## Achieving Angular Superresolution of Control and Measurement Systems in Signal Processing 2021-07-02T14:54:41+00:00 Boris Lagovsky Evgeny Rubinovich <p>Algebraic methods of processing data obtained by control and measurement systems to achieve angular superresolution are presented. The efficiency of using the methods in the formation of approximate images of objects at low signal-to-noise ratios is shown. The results of numerical experiments demonstrate the possibility of obtaining images with a resolution exceeding the Rayleigh criterion by 3-10 times. The robustness of the solutions obtained by the methods of algebraic exceeds many well-known approaches. The relative simplicity of the presented methods allows the use of inexpensive computing devices and perform real-time measurement processing.</p> 2021-06-30T00:00:00+00:00 ##submission.copyrightStatement## Mathematical Modeling of Color Printing Devices: Color Gamut Visualization and Colorimetric Measurements Regularization 2021-07-02T20:05:23+00:00 Dmitry V. Tunitsky <p>The article concerns a piecewise linear modeling of a vast range of color printing devices: various printers of different kind and nature, presses, etc. The central purpose is not a presentation of ready to use computational algorithms, or, moreover, accomplished software solutions. The point is to reveal some aspects of mathematical modeling, which could serve as both a guideline for creation of practical and robust engineer solutions and an example of nontrivial application of piecewise linear topology.</p> 2021-06-30T00:00:00+00:00 ##submission.copyrightStatement## The Modular Inequalities for Hardy-type Operators on Monotone Functions in Orlicz Space 2021-07-02T20:05:53+00:00 Kh. Almohammad <p>This paper is devoted to the study of modular inequality for general Hardy–Copson type operator restricted on the cone of monotone functions from weighted Orlicz space with general weight.</p> 2021-06-30T00:00:00+00:00 ##submission.copyrightStatement##