The Bulletin of the Adyghe State University,<br />
the series “Natural-Mathematical and Technical Sciences” The Bulletin of the Adyghe State University,
the series “Natural-Mathematical and Technical Sciences”
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#1 / 2022

Biological Sciences

  • Tolstikova T.N., Chernyavskaya I.V., Beskrovnaya A.Yu.
    Growth processes of Chamaecyparis Spach. genus in the Botanical Garden of the Adyghe State University

    The collection of the Botanical Garden of the Adyghe State University includes 22 cultivars of five species of Chamaecyparis Spach. of different age groups (age 8–34). The paper presents the results of primary introduction tests of cultivars of the genus Chamaecyparis: the biomorphological features of ten garden forms are studied. It has been found that the typical rate of growth of leading shoots is 6–13 cm per year, in unfavorable 2019 – from 2 to 7 cm; the rate of growth of lateral shoots is 4–13 cm, in 2019 – from 1 to 6 cm. Our results suggest that if the necessary care measures are observed (watering in the dry period, timely fertilizing and pruning) the studied cultivars can be recommended for widespread use in landscape setting.

    doi: 10.53598/2410-3225-2022-1-296-46-49

    pdf 46-49.pdf  (296 Kb)

  • Ocheret N.P., Tuguz F.V.
    Chemical experiment with environmental content

    The paper presents the experience in implementing environmental education and upbringing in the study of natural sciences, and the results of a chemical experiment.

    doi: 10.53598/2410-3225-2022-1-296-50-53

    pdf 50-53.pdf  (277 Kb)

  • Tolstikova T.N., Chernyavskaya I.V., Beskrovnaya A.Yu., Chuvikova T.V.
    Towards the 40th anniversary of the Arboretum of the Adyghe State University Botanical Garden

    The Arboretum of the Adyghe State University Botanical Garden turned 40 years old in October 2021. The paper provides information about the main stages of the development of the Ar-boretum, its structure, the main compositions, educational and research work carried out. The characteristics of the current state of the collections, and priority areas of activity and further development are identified.

    doi: 10.53598/2410-3225-2021-4-291-54-61

    pdf 54-61.pdf  (317 Kb)


  • Shumafov M.M., Panesh T.A., Khavadzha M.A.
    On the stochastic stability in the large of solutions of the nonlinear second-order differential equations perturbed by white noise. II

    This paper is a continuation of the previous paper and presents the second part of the authors’ work. In the work, nonlinear autonomous second-order differential equations with random right-hand sides of the type of white noise are considered. In the first parts of the work, we pre-sent some mathematical preliminaries from probability theory and stochastic processes. Here, in the second part, we give a construction of stochastic Ito’s and Stratonovich’s integrals, the connection between them is established, and their basic properties are presented. In the work, sufficient conditions for stochastic asymptotic stability in the large of solutions of the second-order Ito’s stochastic differential equations are obtained. The probabilistic estimations of the remaining of a random trajectory in a bounded region of the phase plane are given. As an example, harmonic oscillator perturbed by white noise random process is considered.

    doi: 10.53598/2410-3225-2022-1-296-11-30

    pdf 11-30.pdf  (664 Kb)

  • Ushkho A.D.
    Some applications of index theory in qualitative theory of autonomous polynomial differential systems on the plane (Part II)

    Indices of equilibrium states of cubic dfferential system on the plane are considered. The paper presents a new proof of the well-known Berlinski’s theorem on the number of equilibrium states of the second group of the quadratic system. Examples of specific systems are given.

    doi: 10.53598/2410-3225-2022-1-296-31-45

    pdf 31-45.pdf  (1 Mb)

    Technical Sciences

  • Dovga lV.À.
    Integration of networks and computing to build a drone swarm management system as a network management system

    Recently, the importance of the practical application of multi-agent systems, such as swarms of drones, has been increasing, due to the emergence of many devices capable of communicating with each other for the purpose of their cooperative behavior. However, automating drone swarm control is challenging, due to the presence of constantly changing environmental condi-tions and the limitations of the wireless communication channels used by each unmanned aerial vehicle in the flock. To solve these problems, the paper proposes to consider a swarm of drones as a network control system (Networked Control Systems, NCS), in which the entire system is controlled within a wireless communication network. This approach is due to the close relationship between network and computing systems used to effectively support the main functions of swarm management: data collection and exchange, decision-making on the distribution of control commands, etc. The paper provides an overview of the principles of developing a self-organizing drone swarm as an NCS through the integration of a network system and a computing system. In addition, the paper analyzes the integration of these systems to improve the performance of a swarm of drones.

    doi: 10.53598/2410-3225-2022-1-296-62-76

    pdf 62-76.pdf  (404 Kb)

  • Dzhaffar B.Dz. Dayebal
    Representation of knowledge in an intelligent control system for take-off and landing of a robot helicopter based on a frame model

    The task of representing objects in an area comes from the field of automatic and automated control of rotary-wing aircraft. It is characterized by the requirements for high accuracy and speed of the solution and must also be solved with minimal computational resources. A robot helicopter can use the results of observation in space both for the task of movement and for the task of observing other objects. In either case, the observed picture is not strictly deterministic. Its representation is associated with an infinite number of variations in the observed scene and the behavior of surrounding objects. For this reason, classical strictly formalized approaches do not give the desired effect. Also, infinite variation requires an intelligent behavior from the autonomous controlled object. This problem can be avoided by solving the problem of knowledge representation in the intelligent control system of the robot helicopter in such a way that the position model and the control actions themselves are described in terms used by the operator. The paper proposes an approach to solving the problem of knowledge representation, based on the hybridization of the frame model and fuzzy logic, which avoids the need to take into account the variations of the scene and observed objects, as well as automate the tasks of take-off and landing control.

    doi: 10.53598/2410-3225-2021-1-296-77-84

    pdf 77-84.pdf  (343 Kb)

  • Feshina E.V., Kushtanok S.A., Kramarenko T.A., Skorbatyuk R.Ya.
    Analysis of technologies for the development of mobile applications and information systems based on the android operating system

    In the modern world, many technologies allow you to create applications, information systems for a given operating system, which are designed to solve many problems. The Android operating system is the most popular technology for communication and interaction between the physical part of a mobile phone and software. Google's Android Studio and Flutter, Facebook's React Native framework, Microsoft's Xamarin, and Unity Technologies' Unity3D development environment are by far the most popular platforms used for traditional development. The quality of the developed software product depends on the correct choice of development technology, on the competence of the project development team.

    doi: 10.53598/2410-3225-2022-1-296-85-91

    pdf 85-91.pdf  (303 Kb)

  • Chastikova V.A., Titova A.A., Voylova D.O.
    Analytical review of personal identification methods based on biometric characteristics

    This work presents an overview of various methods of biometric identification. The authors consider the problem of personality recognition by physiological and behavioral characteristics. The results of the analysis show that the method of identifying a person by a thermogram is the most relevant at a particular moment. In voice-based identification, common methods for extracting features are methods for calculating cepstral coefficients: mel-frequency and based on linear prediction. It has been found that the combination of several types of measurements can improve the security, reliability and efficiency of identification systems. The multimodal biometric system increases the volume and variety of input information. Since convolutional neuronal networks demonstrate the highest results in the tasks of detection, segmentation and classification of objects, this paper also proposes an approach to identifying a person based on networks of this type.

    doi: 10.53598/2410-3225-2022-1-296-92-112

    pdf 92-112.pdf  (1 Mb)