Category Archives: – All issues –

MULTI-MEASURE NAVIGATION SAFETY ESTIMATION AND DIGITAL REPRESENT FOR MARINE AREA


UDC 004.8
DOI:10.26102/2310-6018/2020.28.1.003

V.M. Grinyak, Y.S. Ivanenko, V.I. Lulko, A.V. Shulenina, A.V. Shurygin


The paper is devoted to the problem of ensuring the safe movement of ships. The problem of assessing the safety of a traffic pattern implemented in a specific water area is considered. Five different safety metrics are introduced. The first metric – “traffic intensity” – the traditionally used traffic density estimate, is calculated as the number of vessels passing through a particular section of the water area per unit time. It is supplemented by the metrics “intensity plus speed” (second) and “intensity plus size of ships” (third). When calculating them, respectively, the speed of the vessels and their length, which determine the “weight” of each vessel, are taken into account. The fourth metric – “stability of traffic parameters” – takes into account the nature of the movement of ships in terms of the regularity of their courses and speeds. The paper discusses various options for the metric, to illustrate the simplest of them is implemented – an estimate of the standard deviation of the ship’s course. The fifth metric – “traffic saturation” – characterizes the density of movement of ships in terms of the possibility of their maneuvers. The metric appeals to the traditional model representations of the collective motion parameters of the vessels in the form of a “speed-course” diagram and makes it possible to indirectly assess the difficulty of decision-making by skippers and the emotional burden on traffic participants. In the discussion of the results of the work, the option of integrating the five proposed metrics in the form of a system of rules giving an integrated assessment of traffic safety in a particular section of the water area is considered. The work is accompanied by the results of calculations of the proposed metrics on real data on the movement of ships in the Tsugaru Strait and their discussion. It is shown that the proposed system of metrics allows you to create a systematic idea of the degree of danger of traffic implemented in the water area.

Keywords: marine safety, traffic intensity, ship trajectory, ship traffic, traffic area, аutomatic
identification system.

Full text:
GrinyakSoavtors_1_20_1.pdf

DEVELOPMENT OF A WIRELESS CONTROL SYSTEM ON THE BASIS OF «THE INTERNET OF THINGS» CONCEPT


UDC 004.021
DOI:10.26102/2310-6018/2020.28.1.002

A.I. Afanasiev, V.N. Knyazev


In the article it is discussed current issues and problems of developing wireless control systems based on the concept of «Internet of Things». As important problems here there are an insufficient flexibility and efficiency of the choice of communication channels for data transmission, the insufficient protection of communication channels and the ways to solve these problems were proposed. The scientific novelty is in the development of an adaptive algorithm for selecting a channel for data transmission, which is different from the well-known algorithms by higher flexibility and reliability. The flexibility (adaptability) of the algorithm is the automatic identification of available channels, and the reliability is providing of guaranteed transfer of the control commands. Also there were proposed a modified encryption algorithm based on the combined using of a symmetric encryption algorithm GOST 34.12-2015 and an asymmetric encryption algorithm on elliptic curves, allowing to increase the level of reliability of the protected interaction between the components of the control system while ensuring a sufficient speed of message transmission. There was designed a wireless control system with using an ontological and visual modelling among other things. The results, which were received in the course of the study were used as the basis for creating hardware and software of an automated control system for «IoT» devices for a private house.

Keywords: Internet of Things, smart house, wireless interaction, control system, communication channel, encryption, ontological and visual modeling.

Full text:
AfanasyevKnyazev_1_20_1.pdf

METHODS OF ACCEPTABLE OPTIONS FORMATION OF ORGANIZATIONAL STRUCTURE AND THE STRUCTURE OF THE AUTOMATED INFORMATION SECURITY MANAGEMENT SYSTEM


UDC 004.054.53
DOI:10.26102/2310-6018/2020.28.1.001

V.V.Selifanov, R.V.Meshcherykov


To ensure comprehensive information protection, it is necessary to use various means of information protection, distributed by levels and segments of the information system. This creates a contradiction, which consists in the presence of a large number of different means of information protection and the inability to ensure their joint coordinated application in ensuring the protection of information due to the lack of an automated control system. One of the tasks that contribute to the solution of this problem is the task of generating a feasible organizational structure and the structure of such an automated control system, whose results would provide these options and choose the one that is optimal under given initial parameters and limitations.Тhe problem is solved by reducing the General problem to a particular problem of splitting into subgraphs of the original graph of the automated cyber defense control system. In this case, the subgraphs will correspond to the subsystems of the automated cyber defense management system at different levels and will provide a visual representation of the process of acceptable variants formation of the organizational composition and structure of such an automated control system. As a result of the operation of splitting into subtasks of the graph, a set of acceptable variants of the organizational composition and structures of the automated cyber defense management system are supposed to be obtained, based on which the optimal choice is made under the given initial parameters and restrictions. As a result, the technique of formation of admissible variants of organizational structure and structure by the automated control system of cyber defense is received.

Keywords: information security, cybersecurity, information protection, control, automated control systems.

Full text:
SelifanovMeshcherykov_1_20_1.pdf

EVOLUTION OF THE OBSERVER STATE FROM PULSE TO PULSE
IN AN ELECTRIC DRIVE WITH A CONTACTLESS DC MOTOR


UDC 621.313.292
DOI:10.26102/2310-6018/2019.27.4.046

S.A. Vinokurov, O.A. Kiseleva, N.I. Rubtsov


The paper analyzes the current state in an electric drive with a contactless DC motor, considering that the control system in it is built as a hybrid, which is inherent in both discrete and continuous dynamics. The ideal vector control of a contactless DC motor can be described theoretically and used as a template for determining deviations in various control methods and evaluating their effectiveness. The paper compares the ideal control with discrete control, shows the possibility of implementing continuous control laws due to the displacement of control pulses in space and time. With pulse control, which is used in the electric drive at the present time, not only the pulse durations are calculated, but also the distances between them, that is, the beginning of the next pulse, and most importantly, the leading base vector is selected. The state observer in such a system performs a complex role, since there are delays in the system links, that must be considered, since they can disrupt the stability of the synchronous mode of the engine with the state observer. The paper presents a block diagram of a mathematical model of a state observer with a full-revolution detector.

Keywords: contactless DC motor, state observer, hybrid control, leading base vector.

Full text:
VinokurovSoavtors_4_19_1.pdf

FEATURES OF THE APPLICATION OF THE OBSERVER STATES
IN A CONTACTLESS DC MOTOR


UDC 621.313.292
DOI:10.26102/2310-6018/2019.27.4.045

O.A. Kiseleva, T.V. Popova, A.Y. Timoshkin


The paper deals with the analysis of the formation of discrete vector an equivalent tape to control brushless DC motor. The issues of using state observers instead of electromechanical rotor position sensors are considered. Shows the feature of constructing an observer status, for localdate that information on its input comes from continuous work-th current field, and the output it generates discrete torque control field switching of the windings of the synchronous motor power voltage inverter based on the motor parameters and actuators. To ensure synchronization, it is necessary to decide on the frequency of sensor polling and the possibility of processing this information, which leads to signal delays. It is necessary to take into account not only the time dependence associated with the beginning and end of the pulses, but also the spatial dependence associated with the alternation of the basic leading vectors. The estimation of control efficiency in electric drives with contactless DC motors and sensors of supervision is carried out. In some cases, the use of speed observers in the electric drive leads to a decrease in the speed control range. Graphs of transient processes in the electric drive at different values of the speed controller parameters are constructed.

Keywords: contactless DC motor, state observer, transient characteristics, discrete control field.

Full text:
KiselevaSoavtors_4_19_1.pdf

STRUCTURIZATION OF ENVIRONMENTAL INFORMATION WITH APPLICATION OF GEOINFORMATION TECHNOLOGIES


UDC 658.512.26
DOI:10.26102/2310-6018/2019.27.4.044

K.A. Fedutinov


The article discusses the development of managerial decisions to improve the environment through the introduction of geographic information technologies, including methods for assessing and predicting the environmental situation based on monitoring approaches. The development of big data processing technologies has identified trends in the widespread implementation of real-time monitoring systems. In this regard, the task of monitoring natural objects is proposed to be solved as the task of determining and controlling the properties and states of a complex object in real time and actively interacting with the environment, as well as developing managerial decisions and recommendations. It is proposed to use the Fuzzy ART neural network as a mathematical apparatus for structuring environmental information, which has proven itself in real-time data processing. To visualize the received information and integrate the results of the network operation of the Fuzzy ART network into a geographic information system, it is proposed to use the Folium Python library, which is intended for graphical display of geographic data and contains all the necessary cartographic information. Using Folium, the results of the structuring of environmental data can be displayed directly on Google maps, which makes it possible to visually determine the boundaries of clusters and possible buffer zones when the map is scaled up.

Keywords: neural network, clustering, machine learning, adaptive resonance theory, Fuzzy ART network, GIS system.

Full text:
Fedutinov_4_19_1.pdf

EFFECTIVE METHOD OF DESIGNING CAD MODELS WITH LATTICE STRUCTURE


UDC 658.512.26
DOI:10.26102/2310-6018/2019.27.4.043

N.V. Tsipina, O.N. Chirkov, S.A. Slinchuk, I.V. Cheprasov, V.A. Madesov


This article shows how important it is to develop a convenient and simple method for designing lattice parts in production. The purpose of the entire experiment is to observe, analyze and solve problems in the design of lattice structures. The performance of modern tools of computer-aided design (CAD) systems was also evaluated. All the disadvantages and positive aspects of the developed method are indicated. The considered design method allows designers to choose the right lattice structure and its density. An essential part of this proposal is the use of equivalent lattice materials. This approach eliminates the need to design lattice-based CAD models and shortens the simulation time for FEMs. This methodology may be applicable in determining equivalent materials for other lattice structures. Equivalent materials also reduce FEM simulation time. The performance of modern tools of computer-aided design systems was evaluated to determine whether they adequately meet the requirements of additive manufacturing. The results show that modern CAD systems do not allow you to easily and quickly design lattice structures for additive manufacturing. It is necessary to develop modern CAE software to conduct finite element method analysis on a 3D lattice model.

Keywords: lattice structure, CAD software, finite element method (FEM).

Full text:
ZipinaSoavtors_4_19_2.pdf

ESTIMATION OF CAD CHARACTERISTICS IN THE CONTEXT OF DESIGNING MODELS WITH LATTICE STRUCTURE


UDC 658.512.26
DOI:10.26102/2310-6018/2019.27.4.042

N.V. Tsipina, O.N. Chirkov, S.A. Slinchuk, I.S. Bobylkin, E.I. Vorobiev


This article assesses the current characteristics of computer-aided design (CAD) systems in the context of the design of models with a lattice structure. During the design of the experiment, three variables were selected, two lattice structure templates, rods of lattice structures with two different sections and four sizes of parts were designed. The purpose of the whole experiment is to observe the problems that the user encounters when designing lattice structures in CAD software, as well as to determine the effect of the type and size of lattice structures on file sizes and whether modern file formats are suitable for the requirements of additive manufacturing. The obtained experimental results show that it is difficult to design CAD models with a lattice structure, since this process takes a lot of time and creates large files. In some cases, the program could not perform the desired operation. New requirements for the design of parts for additive manufacturing lead to new needs in computer-aided design. New research is needed to determine the most reliable and efficient methods for designing lattice structures in CAD software.

Keywords: CAD features, additive manufacturing, octet farm, cubic lattice structure.

Full text:
ZipinaSoavtors_4_19_1.pdf

STUDY OF THE EFFECTIVENESS OF VARIOUS CONTROL ALGORITHMS TO ENSURE THE PROTECTION OF QUEUES FROM CONGESTION IN RESOURCE RESERVATION SYSTEMS


UDC 004.7
DOI:10.26102/2310-6018/2019.27.4.041

Osama Alkaadi


Controlling network congestion is a very urgent task while securing queues in resource reservation systems. This is one of the key elements, as many controllers were introduced to control overload to solve the problem. This article analyzes the impact of network workload on the performance of various active queue management controllers, including the traditional Drop Tail controller, to ensure that queues are protected from congestion in resource reservation systems. This paper presents an analysis of four possible scenarios with the same network parameters except for the network workload. The performance of each controller is measured using various performance metrics. The effect of network traffic load on the performance of network controllers can be easily observed in the four presented scenarios. The behavior of all controllers clearly indicated the effect of network traffic load on their performance. The results showed that the load on network traffic is directly proportional to bandwidth, packet loss and delay. The results can be used to create fault-tolerant resource reservation systems.

Keywords: workload, network, queues, controller, resource reservation.

Full text:
OsamaAlkaadi_4_19_1.pdf

MODIFICATION OF NEURAL NETWORK MODEL RKELM
WITH ADDITIONAL TRAINING


UDC 681.3
DOI:10.26102/2310-6018/2019.27.4.040

Y.A. Asanov, S.Y. Beletckaya


The aim of this work is developing of an artificial neural network model (ANN) capable of working in dynamically changing conditions. Despite a large number of research and development in this sphere, there are still no models that satisfy the limited resources of mobile systems (primarily – performance). This article proposes a developed modification of the Huang Extreme Learning Model, which differs from the original approach in the training process – training on common conditions, without increasing the weight matrix and the training sample, followed by further training for specific conditions. As a test sample of data, a dataset from the open source machine-learning repository UCI was used. Vast experiments were performed, the purpose of which was to identify the most suitable model, the choice was made from RKELM, SVM and ELM. The selection criteria for the model were performance and classification accuracy. The model with extreme training of Huang turned out to be the most suitable, it was used as the basis of the developed modification. The results of comparing the original and modified models are presented. The proposed approach surpassed the competition in speed and performance, while only slightly inferior in accuracy of data classification in the initial conditions, but turned out to be much more accurate in the new conditions in which the model was not trained.

Keywords: artificial neural network, RKELM modification, model with an additional training.

Full text:
AsanovBeletckaya_4_19_1.pdf