Browsing by Author "Mukhina, Maryna"

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ALGORITHM OF FORMING AND SELECTING OF INFORMATIVE FEATURES IN CORRELATION EXTREME NAVIGATION SYSTEM DATABASE
(Kyiv, “Osvita Ukrainy”, 2016-03) Mukhina, Maryna; Мухіна, Марина Петрівна; Prymak, Artem; Примак, Артем Петрович; Babeniuk, Anna; Бабенюк, Анна Миколаївна
Hierarchical approach to data fusion in complex navigation system is proposed. Low level of data processing in correlation extreme navigation system includes forming and selecting the most infor- mative relevant features. Advanced algorithm is therefore developed based on weighting correlation sampling of template features. Practical efficiency of algorithm is researched based on Speed-Up Robust Feature method of feature points detection and description. Minimization of feature points number in template without decreasing the quality of matching is observed along with reduction of computational costs.
ALGORITHM OF MORPHOLOGICAL CORRELATION-EXTREME NAVIGATION SYSTEM
(Kyiv, “Osvita Ukrainy”, 2016-06) Mukhina, Maryna; Мухіна, Марина Петрівна; Kuzmenko, Anastasia; Кузьменко, Анастасія Олександрівна
The paper deals with correlation-extreme navigation to define coordinates of unmanned aerial vehicles more precisely. Normalized morphologic correlation coefficient was chosen as criterion function. Images were processed with the help of intensity based and auto tracking methods. The comparison of these methods by their robustness and normalized morphological correlation coefficient assessment was done on the series of test images with different informative levels.
Analysis of Informativity of Anomalous Geomagnetic Field Databases for Aided UAV Navigation
(Kyiv, “Osvita Ukrainy”, 2017-10) Mukhina, Maryna; Babeniuk, Ganna
Analysis of existent anomalous geomagnetic field map has been done. Informativity of map has been estimated as trajectory data in terms of variance, signal-to-noise ratio and correlation radius. The recommendations and general algorithm for realization of geomagnetic aided navigation have been developed and proved.
Comparison of time domain step counting method for pedestrian dead reckoning
(National Aviation University, 2020-07-06) Mukhina, Maryna; Мухіна, Марина Петрівна; Ilnytska, Svitlana; Ільницька, Світлана Іванівна; Lazarevsky, Oleksandr; Лазаревський, Олександр Андрійович
The problem of step counting has been considered for personal navigation while walking and using mobile sensors with low accuracy. Step counting has been realized by three main methods of processing the acceleration vector magnitude in time domain. The comparison of this methods has been done while processing the data from mobile phone sensors for different conditions and types of pedestrian/their motion patterns. In order to have representative statistics the walking trajectories have been selected long enough (at least 100 meters) except the method of normalized auto-correlation based step counting where short distances have been processed. The requirements to definite method of step counting have been formulated.
Correlation stereoscope recognition algorithm
(Osvita Ukrainy, Kyiv, 2016-06) Mukhina, Maryna; Мухіна, Марина Петрівна; Panarin, Mykhailo; Панарін, Михайло Ігорович
The paper deals with Correlation Stereoscope Recognition. Software has been developed with the help of which flight data received from UAV is processed. UAV motion simulation with camera on board has been conducted and photo has been captured from it. Photo has been processed by different methods, with the help of which feature points has been detected, matched and triangulated to create a 3D relief. Result of research shows that probabilities of recognition correspond to specified level, even if image is distorted. Usage of proposed system of correlation stereoscope recognition proved itself as usable in conditions of real-time height estimation and relief recovery system.
Delayed Fuel Consumption Optimization System
(National Aviation University, 2022-06-24) Mukhina, Maryna; Мухіна, Марина Петрівна; Nikulin, Artem; Нікулін, Артем Іванович
In this work, we considered the problem of optimizing the crowd during aircraft delays before landing. Having examined the statistics, we can conclude that there was a constant increase in passenger traffic from 2013 to 2018. But also due to the constant growth of passenger traffic, the percentage of flights with delays is increasing. The problem is that that most of the flights accounted for a small percentage of the most "popular" airports (In Ukraine, 75 percent of all flights accounted for the airports of Boryspil and Zhuliany). Although since 2019 the number of air travel around the world has dropped sharply over time, the number of air travel will return to the previous number and even continue to grow. Also, a new problem has now arisen for air carriers - a significant increase in aviation fuel prices. According to the Mundi Index, since December 2021, there has been a constant increase in the price of fuel for aircraft. This is an additional incentive for airlines to optimize their routes in order to avoid unnecessary fuel costs. In this work, on the example of a flight for a Boeing 737 from Riga to Odessa, two parameters were considered, when changing which it is possible to minimize fuel costs during a delay. An algorithm was also developed to optimize crowd costs on flights with delays.
Expert estimations for informativeness and recognition of selected terrain
(Osvita Ukrainy, 2016-12) Mukhina, Maryna; Мухіна, Марина Петрівна; Mladentseva, Kateryna; Младенцева, Катерина Сергіївна; Barkulova, Іryna; Баркулова, Ірина Володимирівна
Development and research of cartographic software of visual correlation-extreme navigation systems has been done. Selection of informative features has been developed by using Speed-Up Robust Feature descriptors and expert estimations of reference image.
Gaussian particle filtering block of navigation data
(Osvita Ukrainy, 2016-12) Mukhina, Maryna; Мухіна, Марина Петрівна; Prymak, Artem; Примак, Артем Петрович
A filtering block has been developed with the help of which navigation data, received from UAV is filtered. UAV motion over some territory with camera on board has been held and images are captured from it. Images were processed by blob method and we got some linear references, filtered it and compared with Google maps. As a result is received probabilities of state equation, in particular transient probabilities and its approximations according to the flight task, which allows to estimate UAV location, which showed that block is appropriate for use on UAV board and due to applying filtering, gives as correct results of location determining as possible.
Informativity estimation technique of template geophysical field data
(Osvita Ukrainy, Kyiv, 2016-06) Mukhina, Maryna; Мухіна, Марина Петрівна; Yeremeieva, Tetiana; Єремеєва, Тетяна Анатоліївна
This article presents an integral index for informativity estimation of geophysical field template. Informativity estimation algorithm and software for its realization are developed. The experiments on a series of pictures of different regions (field, forest, city, etc.) confirmed the effectiveness and accuracy of the given algorithm.
Particle filtering technique for aircraft control in highly-disturbed GPS-denied environment
(National Aviation University, 2020-03-24) Mukhina, Maryna; Мухіна, Марина Петрівна; Filyashkin, Mykola; Філяшкін, Микола Кирилович; Kazak, Vasil; Казак, Василь Миколайович; Shevchuk, Dmytro; Шевчук, Дмитро Олегович
The problem of aircraft control is considered for certain class of situation, namely when aircraft enters GPS-denied zone with significant disturbances of different nature which may cause the constructive damage and the loss of control. The only source of information is from inertial navigation system that need to be aided by correlation extreme navigation system, for example. In the paper the control problem is solved by using particle filtering technique for correlation extreme navigation system which outputs form the control vector. Further the structural reconfiguration is done by redistributing control or changing the control law in order to create the necessary control forces and moments, maintain acceptable control quality and return for the desired track. The lack of reliable navigation information is compensated by correlation extreme navigation system working by terrain filed of the Earth to be included into control contour. The researches have been conducted by mathematical modeling of the developed algorithms in mathematical software package MATLAB using terrain field (the part of Carpathians territory). The results proved the high accuracy of navigation solution and stability of control estimated by error of closing loop.
System of Aided Classification of Ground Objects by Video Observation from Unmanned Aerial Vehicle
(Kyiv, “Osvita Ukrainy”, 2017-10) Mukhina, Maryna; Barkulova, Iryna
Analysis of classification system by video observation has been done. The system with aided classification based on probabilistic models is proposed. Feature vector contains the most informative components and allows the minimization of decision risks. Results have proven the reliability of classification during a number of video frames in the condition of non-full data descriptive space.
Vernier algorithm of adaptive filtration, smoothing and prediction of trajectories
(Osvita Ukrainy, 2015-03) Silvestrov, Anton; Сильвестров, Антон Миколайович; Mukhina, Maryna; Мухіна, Марина Петрівна; Seden, Iryna; Седень, Ірина Володимирівна
Algorithms of signal filtering and extrapolation methods are under consideration. Brown filter as alternative for Kalman filter is proposed for noise elimination. Block diagram of adaptive filtration, smoothing and prediction of trajectory is introduced. It is shown, that proposed algorithm allows obtaining higher quality of filtration, almost without noise.
Аnalysis of influence of cruise speed and flight level change on fuel consumption in air traffic flow management
(National Aviation University, 2021-04-27) Mukhina, Maryna; Мухіна, Марина Петрівна; Ilnytska, Svitlana; Ільницька, Світлана Іванівна
The problem of flight planning in case of delay demands is considered. The criterion restrictions between fuel consumption and the required flight time when the nominal cruise speed changes are investigated. It is proved that flight delay in the air can be realized without additional fuel costs, which is determined and estimated in the absence or presence of wind. The impact of choosing a different flight level and using additional fuel to obtain a longer delay was also considered and analyzed. The results show that for different flight levels and wind direction the delay may be varied from 3 minutes to 13 minutes. The initial flight level is defined as one of the main parameters that affect the amount of delay in the air.