Browsing by Author "Kucherov, D.P."

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    A computer system for images compression
    (Національний авіаційний університет, 2019-04-25) Kucherov, Dmytro; Kucherov, D.P.; Кучеров, Д.П.
    A new approach to images compression is proposed. The approach involves the use of elements of tensor analysis based on singular decomposition. A feature of this approach used is the representation of the image by the matrix triad, which includes the tensor core and a pair of unitary matrices containing right and left singular vectors, respectively. Compression is achieved by one recurrent procedure, which involves lowering the rank of the triad to the level of allowable errors while maintaining the original image size. The result of semi-natural modeling the system components is provided.
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    An Algorithm of Setting the Weights of a Neural Network Controller
    (2016-02) Kucherov, D.P.; Dikhtyarenko, V.N.; Kozub, A.N.
    The paper considers a novel method of setting a neural networks controller that takes part in the control of a dynamic plant with unknown parameters. The uncertainties are usually overcome by using sliding mode for controller with a switching input signal. Consequently, as a result the obtained system not sufficiently reliable by reason of high frequency switching control signal and long processing time. To remove this deficiency, the paper considers the neural network controller that is set by means of its learning based on the results of the latest testing. The characteristic feature of the algorithm is its ability to fix the faulty control situations introduced into the learning algorithm, thus giving it the properties of self-learning. The suggested algorithm provides the control quasi-optimality on time and accuracy in controlling a dynamic object. Finally, numerical examples are presented to demonstrate system efficiency for developed method 
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    Asymptotic Behaviour of Gradient Learning Algorithms in Neural Network Models for the Identification of Nonlinear Systems
    (Science Publishing Group, 2015-07-27) Azarskov, V.N.; Kucherov, D.P.; Nikolaienko, S.A.; Zhiteckii, L.S.
    This paper deals with studying the asymptotical properties of multilayer neural networks models used for the adaptive identification of wide class of nonlinearly parameterized systems in stochastic environment. To adjust the neural network’s weights, the standard online gradient type learning algorithms are employed. The learning set is assumed to be infinite but bounded. The Lyapunov-like tool is utilized to analyze the ultimate behaviour of learning processes in the presence of stochastic input variables. New sufficient conditions guaranteeing the global convergence of these algorithms in the stochastic frameworks are derived. The main their feature is that they need no a penalty term to achieve the boundedness of weight sequence. To demonstrate asymptotic behaviour of the learning algorithms and support the theoretical studies, some simulation examples are also given.
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    Automated Systems in the Aviation and Aerospace Industries
    (IGI Global, 2019-03-12) Kucherov, Dmytro; Kucherov, D.P.; Кучеров, Дмитро; Кучеров, Дмитрий Павлович; Kucherov, Dmytro P.
    A solution is proposed for the task of controlling a group of UAVs moving along a given route. The group is considered as a limited-size formation consisting of n-agents moving relative to the leader, which allows us to treat the group as some aggregate with the center of motion. The quantitative composition of a group can change while maintaining the integrity of the group. The chapter proposes the use of smooth laws governing the motion of a group. The safety of motion is ensured by introducing into the law of control the components equivalent to the creation of attractive and repulsive fields.
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    Detection of Signals from a LoRa System Under Interference Conditions
    (Kharkiv National University of Radioelectronics, 2018-10-02) Kucherov, Dmytro; Kucherov, D.P.; Кучеров, Д.П.; Кучеров, Дмитро; Кучеров, Дмитрий; Кучеров, Дмитрий Павлович
    The paper examines the factors that affect the detection of signals in devices using modern LoRa technology to exchange information between devices that are part of the Internet of things in an interference environment. Features LoRa technology is a long range of information exchange in comparison with similar technologies, which is achieved through the spreading spectrum, the transmission of information in short packages and suppression of multipath signal propagation. The article notes the contribution of each factor to the quality of reception and studies the reception of the messages at the LoRa technology in a city with the significant interference that created by means of cellular communication and Wi-Fi devices.
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    Group Behavior of UAVs in Obstacles Presence
    (National aviation university, 2016-10) Kucherov, Dmytro P.; Kucherov, D.P.; Кучеров, Д.П.; Кучеров, Дмитрий Павлович
    The article deals with the problem of controlling the multi-agent system that consists of n UAVs moving in environment with obstacles. One of UAVs is an agent-leader and the others are agent-members. Behavior of an agents group in dynamic environment is considered as aggregation. This task supposes describing UAVs group movement as integrator of the second order, and each agent has information about others. Bypass obstacles and avoidance of collision is the main problem of this paper. Therefore we are considering movement of agents group in potential field, which includes two components: attractive and repulsing. The movement law is only known for agent-leader and agent-members that follow him in potential field. Simulation demonstrates main result of proposed approach.
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    Group of UAVs Moving on Smooth Control Law with Fixed Obstacles
    (ASTESJ, 2017-07-15) Kucherov, D.P.; Кучеров, Д.П.; Кучеров, Дмитрий Павлович; Кучеров, Дмитрий Павлович
    In this paper considered the movement of multi-agent system that consists of several UAVs that carry out monitoring ground surface. The multi-agent system includes a lead agent and several agents-members of the group. The motion of this system occurs along a trajectory, which is determined by the initial conditions, its mathematical model and obstacles on the route. Only the leader of the group knows the ultimate goal of the movement. The motion of this structure is considered in the potential field, which determined the forces of attraction and repulsion and created control signals by measuring the distances to the nearest neighbors. This allows the UAV group to consider an aggregate that has some size and to describe its motion the system of differential equations of second-order. As UAV selected Quadrotor. In this investigation, the stability conditions of such motion are considered, and simulation of approach is proposed.
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    Improving Images Quality by Combination of Filtering Methods
    (The IJES, 2015-07) Kucherov, D.P.; Katsalap, R.G.; Zbrozhek, L.V.
    The article deals with digital images which are corrupted by interfering signal representing random homogeneous or rare changes brightness of individual pixels. These changes matched Gaussian noise, impulse noise and their joint action. As usually to decreasing noises on the picture is used filtering. The known spatial and frequency filtering methods are leads to deteriorating sharpness images and recovering sharpness images are uses methods based on computing the second derivations, for example Laplacian. The main idea proposed approach is combined filtering methods and increasing sharpness. On the basis of quantitative criteria for estimation of quality and criteria of visual perception is studied rational combination of known types of filters. Several illustrative examples are presented that demonstrate the effectiveness of the proposed technique.
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    NEURAL NETWORK TECHNOLOGIES FOR RECOGNITION CHARACTERS
    (National aviation university, 2015-12) Kucherov, D.P.; Ohirko, I.V.; Ohirko, O.I.; Golenkovskaya, T.I.
    The process of neural networks modeling for pattern recognized problem of printed characters consid-ered in this paper. Learning for pattern recognition preparing for a limited set of synthetic characters. It assumes the two-layer neural network training. The convergence of three learning algorithms is stud-ied. They are packet-based adjustment of weights and biases, the gradient, the algorithm based on the computation of the Jacobian function weights. The article provides recommendations for the installa-tion of the initial parameters for a set of tools Neural Networks Toolbox software Matlab. Experimental results for different settings customer networks given that confirms these propositions.
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    Protection of information networks based on LoRa technology
    (CEUR-WS.org, 2019-02-20) Kucherov, D.P.; Kucherov, Dmytro; Кучеров, Д.П.; Кучеров, Дмитрий Павлови
    The paper deals with modern technology for transmitting short messages over long distances named LoRa, where the transmitted signal uses linear frequency modulation (chirp). The object of the study to define lack of transmitters that it has a design on LoRa technology for assessment their applicable in condition urban city where there are a lot of radiation sources. The goal of the work is the creation of a method of assessing the act the interference conditions that based on measurement bit error rate and signal-noise ratio and via on which to get individual host vulnerability levels. The processing of these signals is carried out by means of a time-frequency transformation. The chirp signal is characterized by 4 parameters: frequencies, time, modulation rate and amplitude. By analogy with the wavelet transform, the processing of chirp signals involves a chirplet decomposition. Since the chirp signals are strongly influenced by mutual interference due to multipath, the article studies the effectiveness of LoRa technology in conditions of mutual interference of radiation sources. The developed method utilized chirplet decomposition and retrieve symbols of a message in the dictionary. The conducted experiments have confirmed the proposed software operability and allow recommending it for use in practice for solving the problems receiving signal. The prospects for further research may include the creation of parallel methods for calculation of the set of proposed indicators, the improvement of software, as well as an experimental study of proposed indicators in real conditions.
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    Synthesis of the switching control law for a quadrotor autopilot
    (Sciencepubco, 2018-11-16) Kucherov, D.P.; Kucherov, Dmytro; Кучеров, Дмитро Павлович; Кучеров, Дмитрий Павлович
    The paper deals with the problem of synthesizing the time-optimal control law by the angular coordinates of an unmanned aerial vehicle with stabilization in the pitch and roll directions. The full mathematical model of the unmanned aerial vehicle is reduced to a system of the first-order differential equations, based on which the optimal control law is constructed. Control action in each plane depends only on the measured coordinates and is calculated in real time. It is believed that the dynamic model, described by a system of differential equations, contains complex roots, which indicate the oscillatory response of the controlled object to the control action. Some properties of the switching line and switching control are also considered in the paper. Some results of simulating the dynamics of the object under examination with a synthesized control law are presented.
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    Адаптивное квазиоптимальное по быстродействию управление некоторой динамической системой: идентификационный подход
    (Одесский национальный политехнический университет, 2001) Kucherov, D.P.; Кучеров, Дмитрий Павлович; Кучеров, Дмитро Павлович
    Рассматривается задача синтеза определённого класса адаптивных систем, квазиоптимальных по быстродействию при отсутствии априорной информации о параметрах объекта
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    Алгоритм обучения субоптимальному по быстродействию управлению динамической системой второго порядка без нулевых полюсов
    (Херсонський національний технічний університет, 2004) Kucherov, D.P.; Kucherov, Dmytro P.; Kucherov, Dmytro Pavlovich; Кучеров, Дмитрий Павлович; Кучеров, Дмитро Павлович
    The problem of the time-suboptimal control for the second order system without zero poles in the absence of a priori information about its parameters is considered. Within adaptive approach, an algorithm for trainable controllers is created, that algorithm based on the nonlinearly parameterized procedure learning pattern recognition. The results of simulation are given.
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    Визначення несучої частоти радіосигналу за цифровими технологіями
    (НАУ, 2016-12) Кучеров, Дмитрий Павлович; Кучеров, Дмитро Павлович; Кучеров, Д.П.; Kucherov, D.P.; Kucherov, Dmytro P.; Kucherov, Dmytro Pavlovich; Kucherov, Dmitriy P.
    В статті розглядаються методи проведення спектрального аналізу радіоефіру, що можуть бути корисними при застосуванні в панорамних вимірювачах. Основна увага в статті приділяється структурному аналізу методів для створення перспективного пристрою радіомоніторингу. На підставі проведеного аналізу запропоновано класифікацію методів за часом пошуку радіосигналів. Аналізується можливість повного цифрового оброблення прийнятих сигналів в комп’ютері користувача. Наводяться асимптотичні верхні оцінки часових витрат методів оброблення.
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    Вычисление интегралов методом Монте-Карло при решении задачи освещённости синтезированных объектов
    (2016-11-15) Кучеров, Дмитрий Павлович; Кучеров, Дмитро Павлович; Kucherov, D.P.; Kucherov, Dmytro Pavlovich; Кучеров, Д.П.
    Рассматривается задача вычисления многомерных интегралов методом Монте-Карло, которая наиболее часто применяется при расчёте глобальной освещенности синтезированных объектов, созданных различными программными средствами, известная как задача рендеринга. Предлагается метод и алгоритм расчёта таких интегралов.
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    Идентификационный подход к определению частоты радиосигнала
    (Інститут проблем моделювання в енергетиці ім. Г.Є. Пухова НАН України, 2017) Кучеров, Д.П.; Кучеров, Дмитрий Павлович; Кучеров, Дмитро Павлович; Kucherov, D.P.; Kucherov, Dmytro P.
    Предложен новый метод определения частоты радиосигналов на основе одного метода точечной идентификации. Для идентификации существенно используется преобразование сигнала в цифровую форму. Представлены результаты моделирования.
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    Керування перевантаженням комп'ютерної мережі
    (ООО "Инжиниринг", 2017-12-07) Kucherov, D.P.; Kucherov, Dmytro P.; Кучеров, Д.П.; Кучеров, Дмитро Павлович; Кучеров, Дмитрий Павлович
    Розглядається комп’ютерна мережа, що функціонує в умовах перевантажень та збоїв. Подається аналіз алгоритмів маршрутизації за умови резервування частки перепускної здатності. Встановлюються умови функціонування мережі в умовах перевантажень, які приводять до реконфігурації початкової топології, адекватність якої аналізується за схемою «загибель-розмноження». Встановлюються також умови відновлення перепускної здатності за рахунок компенсації перепускної здатності.
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    Методы синтеза адаптивних систем терминального управления
    (LAP LAMBERT Academic Publishing, 2013-08) Кучеров, Дмитро Павлович; Кучеров, Дмитрий Павлович; Kucherov, D.P.; Kucherov, Dmytro P.
    В монографии впервые рассматриваются задачи терминального управления системами с минимальным временем переходного процесса в условиях параметрической неопределенности интервального типа и наличии ограниченных помех в каналах измерения фазовых координат, а также методы, дающие гарантированное их решение.
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    Рендеринг трёхмерных изображений средствами V-Ray и Mental Ray
    (Український НДІ СВД" корпоративне підприємство ДАК "Укрвидавполіграфія", 2016-12-12) Кучеров, Д.П.; Kucherov, D.P.
    Описуються програмні засоби для рендерингу (візуалізації) тримірних зображень
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    Синтез адаптивного регулятора для финитного управления вращающимся телом при наличии ограниченных помех
    (Институт кибернетики им. В.М. Глушкова НАН Украины, 2005-02) Kucherov, D.P.; Кучеров, Д.П.
    Предложен алгоритм управления вращающимся телом при отсутствии информации о наличии помех в каналах управления