Факультет аеронавігації, електроніки та телекомунікацій (ФАЕТ)

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3D model of landmarks for autonomous navigation of unmanned aerial vehicles
(National Aviation University, 2017) Чужа, Олексій Олександрович; Романенко, Віктор Григорович; Пазюра, Наталія Валентинівна
Almost all unmanned aerial vehicles are equipped with inspection earth surface systems that can be used to obtain information about the location of the aircraft using survey-comparative navigation methods. The autonomous determination of unmanned aerial vehicle coordinates with the use of survey- comparative methods of navigation is to finding landmarks whose location is known by their geometric characteristics. Most precisely, the geometric characteristics of 3D object can be obtained using its mathematical model, based on the basic elements of the form. A mathematical model of an object can be represented in the form of two matrices, the elements of which contain information about the shape of the object and the underlying surface, their size and reflective characteristics. The result of determining the location of the unmanned aerial vehicle is the correct solution to the task of recognizing landmarks. In real conditions, it is very difficult to determine the angles of orientation of objects in advance, so it is necessary to apply the mathematical model of the object and determine its characteristics for different orientation angles in relation to the unmanned aerial vehicle. Consequently, the high probability of detecting the landmark is achieved by applying its mathematical 3D model and determining two independent signs of volume and average height for its recognition, it is depending on the angles of its orientation and geometric shape.
A Comprehensive Framework for Underwater Object Detection Based on Improved YOLOv8
(National Aviation University, 2024-03-29) Sineglazov, Victor; Синєглазов, Віктор Михайлович; Savchenko, Mykhailo; Савченко, Михайло Володимирович
Underwater object detection poses unique challenges due to issues such as poor visibility, small densely packed objects, and target occlusion. In this paper, we propose a comprehensive framework for underwater object detection based on improved YOLOv8, addressing these challenges and achieving superior performance. Our framework integrates several key enhancements including Contrast Limited Adaptive Histogram Equalization for image preprocessing, a lightweight GhostNetV2 backbone, Coordinate Attention mechanism, and Deformable ConvNets v4 for improved feature representation. Through experimentation on the UTDAC2020 dataset, our model achieves 82.35% precision, 80.98 % recall, and 86.21 % mean average precision at IoU = 0.5. Notably, our framework outperforms the YOLOv8s model by a significant margin, while also being 15.1% smaller in terms of computational complexity. These results underscore the efficiency of our proposed framework for underwater object detection tasks, demonstrating its potential for real-world applications in underwater environments.
A model of telecommunication system using VSAT satellite technology
(National Aviation University, 2022-06) Kliovan, К.Е.; Кльован, К.Є.
Modern society cannot be imagined without mobile communications or the Internet. Telecommunications have firmly and deeply penetrated into our lives and strengthened their positions. No area of life today can do without communication. Despite this, the problem of security and reliability of communication channels is still acute. One of the systems to solve this problem is VSAT.
A multi-service communication network of a company on the basis of the existing infrastructure
(National Aviation University, 2022-06) Vashchenko, R.А.; Ващенко, Р.А.
In the rest of the hour, radical changes appeared at the gallery, as if the activities of all telecommunication companies were bumped. First, there is an active promotion of new technologies for access, transport and services. In another way, the appearance of a wide range of new services and a decrease in the cost of traditional services of communication. At the link with the cim until prompted by that operation, the transfer of data is shown by arched vimogi. The security of the possibility of handy, cheap and cheap interchange and the creation of a highly efficient, protected means of data transmission is one of the most important and urgent problems in the field of telecommunications. The key to the solution of the problem is to encourage the current multi-service link.
A new approach to aviation English training
(Національний авіаційний університет, 2016-09) Немлій, Людмила Сергіївна
A new approach to Aviation English Training is essential today as education may be becoming increasingly out of step with the way that students use technology today for socializing, working and learning. Furthermore high education should not fail to face student’s expectations. Considering learners’ abilities to use digital technologies language learning depends on computer technologies either.
A system for assessing the quality of crew piloting techniques flight of varying complexity
(National Aviation University, 2023-03-12) Jun, Liu; Цзюнь, Лю
Determining the totality of erroneous actions of aviation specialists is an essential and noticeably important process in the implementation of the principles of a high degree of flight safety. Ensuring the localization of erroneous actions of aviation specialists can be done using many tools and methods. Among them - the method of training operators to counteract factor load in anti-stress training in order to improve their psychophysical qualities. Determining the psycho-physiological qualities of a person during the selection and training of aviation specialists is one of the ways to improve safety, reliability and efficiency, as well as change for the better the number of aviation accidents. The process of psychophysiological selection in civil aviation is the identification of a set of processes aimed at assessing the degree of development of professionally significant abilities and efficiency of work in the cabin. The nature of psychophysiological selection arises from predicting the effectiveness of training and professional functioning of operators on the basis of their personal psychophysiological characteristics. Then, depending on the requirements for anti-stress training, during psychophysiological selection are: - selection of persons who have such qualities that allow the implementation of professional obligations with a high level of reliability in extremely difficult and responsible conditions; - identification of persons on their psycho-physiological characteristics and mental state, incapable of training and activities in civil aviation and who pose a serious threat to flights; - training of the operator to function under the simultaneous influence of several failures for anti-stress training;
A system for generating training samples in semi-supervised learning tasks based on generative-competitive networks
(National Aviation University, 2023-12-27) Trotsiuk, Denys; Троцюк, Денис Олександрович
In today's world of rapid technological development, artificial intelligence (AI) is taking a special place, being implemented in various areas of human activity, ranging from industrial automation to creative professions. Among the areas of AI research, generative adversarial networks (GANs) have proven to be a promising tool for generating new data that mimics real-world patterns. GANs play a key role in the development of machine learning, in particular, in image synthesis, natural language processing, music creation, and other tasks. The relevance of the research topic is due to the rapid development of neural networks and the need to create efficient and reliable systems that can adapt to changing production conditions and market needs. Despite the large number of studies in this area, the structural-parametric synthesis of ANNs still requires in-depth study to optimize the network training process and improve the quality of the generated data. The purpose of this master's thesis is to develop structural-parametric synthesis methods for optimizing GANs, which will improve the accuracy and diversification of the generated data. As part of the work, the author of the master's thesis investigated the following aspects: analysis of existing GAN architectures, development of new methods of structural synthesis and parametric optimization, experimental verification of the developed methods on real data. The object of research is generatively adversarial networks, and the subject is methods of their structural and parametric synthesis. In the course of the work, the author used such research methods as analysis of scientific literature, computer modeling, experimental methods, and statistical data processing. As a result of the work, it is expected to obtain a model of GAN with improved characteristics, which will expand the possibilities of their practical use in various fields, such as visual art, design automation, game development, and other areas where it is necessary to generate high-quality content.
About Algorithms of Target Positioning
(National Aviation University, 2022-06-24) Hley, Oleg; Глей, Олег Сергійович; Sineglazov, Victor; Синєглазов, Віктор Михайлович
Software has been developed for the system most suitable for wind shear detection. The formulation of the target designation problem is presented. The features of modern radars are considered. The aim of the work is to find the most suitable system for detecting wind shear and to develop software for this system that offers the pilot a turnkey solution for flying through the danger zone of wind shear. The paper presents the definitions of wind shear, statistics of air crashes caused by this phenomenon. The systems for determining wind shear are described and the most suitable system is selected. The principle of operation and the algorithm of operation of the Doppler radar station are given. A simulation of the detection of a dangerous wind shear zone was carried out. The pilot uses the proposed software solution. Thus, the task of determining the wind shear zone and the decisions proposed on this basis to fly around the dangerous zone have been completed. The results show that introducing random noise into labeled samples degrades the accuracy of the model, while introducing random noise into unlabeled data can, on the contrary, increase the accuracy of the model.
About working set for dynamic memory allocation
(Osvita Ukrainy, 2016-03) Yurchenko, Alexander; Юрченко, Олександр Сергійович; Kozlov, Anatoliy; Козлов, Анатолій Павлович
A New approach to dynamic allocation of memory paging is described. The approach is distinguished for a choice of the dynamic allocation of memory paging algorithm parameters during a computation process for achieving maximum loading of the central processor.
ACADEMICS COMPETENCES FOR DEVELOPMENT OF THE TRAINING TECHNIQUES WITHIN THE CONTEXT OF HIGHER EDUCATION
(2013-09) Харламова Тетяна Іванівна
This aim of this article is to provide a framework for development of the training techniques within the context of higher education. The quality in higher education research report listed a set of generic or core skills and attitudes which academics should demonstrate. The list of roles and their associated competences to become a competent academic is introduced.
Acceleration of GNSS applications development and facilitation of their broad acceptance in Ukraine through international cooperation and own experience
(Авіа–2015: XV Міжнар. наук.–техн. конф., 28-29 квітня 2015 р.: тези доп. – К.: NAU.–2015.– С. 8. 89 - 8. 101., 2015-04-28) Konin, Valeriy; Kharchenko, Vladimir; Kondratyuk, V.; Ilnytska, S.; Kutsenko, O.; Vyshnyakova, E.; Shmelyova, T.; Shyshkov, Fedir; Харченко, Володимир Петрович
GNSS are used around the globe in a variety of applications and the number of GNSS enabled devices tends to grow dramatically in the nearest years. This article aims to present the experience of NAU in development and research of GNSS applications and technologies together with international cooperation
Accuracy Research for Non-orthogonal Configuration of Inertial Sensors
(State University "Kyiv Aviation Institute", 2025) Sushchenko Olha; Bezkorovainy Yurii
This article deals with accuracy research of the non-orthogonal configuration of inertial sensors based on Allan variance. The influence of changes in the measurement range of the inertial module on the Allan variance was assessed. Based on an analysis of the results of the Allan variance assessment, a procedure for choosing multi-axis MEMS sensors with identical characteristics to create an inertial non-orthogonal measuring instrument is proposed. An example of compiling a data processing algorithm for an inertial measuring instrument with a non-orthogonal arrangement of sensitivity axes based on an assembly of 3-axis MEMS sensors is given. The simulation results for numerical estimates are represented. Improvement of the accuracy of the non-orthogonal inertial measuring instruments using the Allan variance is shown. У статті виконано дослідження точності неортогональної конфігурації інерціальних датчиків на основі дисперсії Аллана. Було оцінено вплив змін діапазону вимірювання блока інерціальних датчиків на дисперсію Аллана. На основі аналізу результатів оцінки дисперсії Аллана запропоновано процедуру вибору багатоосьових MEMS-датчиків з ідентичними характеристиками для створення інерціального неортогонального вимірювального приладу. Наведено приклад складання алгоритму обробки даних для інерціального вимірювального приладу з неортогональним розташуванням осей чутливості на основі складання 3-осьових MEMS-датчиків. Представлено результати моделювання для числових оцінок. Показано підвищення точності неортогональних інерціальних вимірювальних приладів на основі використанням дисперсії Аллана.
ACCURACY RESEARCH METHOD OF THE MODIFIED ALGORITHM FOR DETECTING LINEAR LANDMARKS
(Київ «Освіта України», 2018-06) Mukhina, M. P.; Tkachenko, O. Yu.; Barkulova, I. V.
A search algorithm for the most extended landmark by which unmanned aerial vehicle can be followed by and implemented flight correction was proposed. The software was developed based on the Python language. The functionality of this software is to detect the linear landmarks from images of geophysical field, received from unmanned aerial vehicle in real time. Images were processed by Hough Line Transform method. As a result, obtained visualization of the object detection with the greatest length, as linear landmark, which allows to estimate unmanned aerial vehicle location. The visual analysis of the effectiveness of this algorithm for inertial navigation system correction shown that the algorithmic software is appropriate for use on unmanned aerial vehicle board and due to applying computer vision systems, gives as correct results of location determining as possible.
ACHIEVEMENTS IN THE FIELD OF CREATION SOLAR POWER STATION (analytical review)
(Київ «Освіта України», 2018-09) Sergeyev, I. Yu.; Protsenko, O. B.
An overview of publications in the field of creating power plants using solar radiation energy - solar stations is given. It is shown that solar energy is the source of energy of the future, an exceptionally clean, simple and natural way of generating electricity, which is very little associated with biological danger. Solar energy practically does not cause any harm to the environment, is an environmentally friendly source, does not expend mineral resources and does not violate the thermal balance of the planet. In the next decade, solar energy will become commercially viable. In the future, solar energy may become the main source of continuously renewable energy in the Earth’s biosphere.
Acoustic noise atmospheric radar with nonparametric copula based signal processing
(Telecommunications and Radio Engineering, 71(4), pp.327-335, 2012) Sinitsyn, R.B.; Yanovsky, Felix
In this paper we discuss a new approach to creating the acoustic atmospheric radar (sodar) which is based on noise sounding waveform. Such sounding waveform has extremely high range and speed resolution. These good properties exist only in the case when we have independent samples, and a noise signal forms such independent samples because of its nature. The prototype of the radar is described and investigated theoretically, using computer simulation and in natural conditions. Non-parametrical signal processing algorithm is developed based on the statistical approach and digital signal processing. It has wonderful properties of invariance to the group of the noise and signal transforms and stable level of the false alarm probability. The algorithm can be applied for both acoustic and microwave noise radars. The use of the FFT algorithm increases the speed of calculations and gives us the possibility of constructing digital random signal radars. These new properties allow us to simplify signal detection algorithms and measure a distance, an azimuth and a target velocity simultaneously with high resolution and accuracy.
Activities of the National Aviation University in "UKRAINE" project of Horizon2020 to foster EGNSS implementation in aviation sphere in Ukraine
(Proceedings, THE SEVENTH World Congress. Aviation in the XXI- st Century. Safety in Aviation and Space Technologies, September 19–21, 2016 .– Kyiv: NAU.– 2016.– P. 3.6.31 - 3.6.35, 2016-09) Конин, Валерий; Харченко, Владимир; Кондратюк, Василий; Ильницкая, Светлана; Шишков, Федор; Харченко, Володимир Петрович
Some of the activities of the National Aviation University in "UKRAINE" project of Horizon2020 to foster EGNSS implementation in aviation sphere in Ukraine are describes in this paper
ADAPTIVE SUBOPTIMAL CONTROL OF INPUT CONSTRAINED PLANTS
(Національний авіаційний університет, 2011) Valerii N., Azarskov; Leonid N., Blokhin; Leonid S., Zhytetskyi
This paper deals with adaptive regulation of a discrete-time linear time-invariant plant with arbitrary bounded disturbances whose control input is constrained to lie within certain limits. The adaptive control algorithm exploits the one-step-ahead control strategy and the gradient projection type estimation procedure using the modified dead zone. The convergence property of the estimation algorithm is shown to be ensured. The sufficient conditions guaranteeing the global asymptotical stability and simultaneously the suboptimality of the closed-loop systems are derived. Numerical examples and simulations are presented to support the theoretical results
Adaptive Control of Manipulator Robots in a Dynamic Environment Using Neural Networks
(National Aviation University, 2024-06-26) Sineglazov, Victor; Синєглазов, Віктор Михайлович; Khotsyanovsky, Volodymyr; Хоцянівський, Володимир Петрович
The purpose of the study is to develop an approach to planning the trajectory of the manipulator robot using an intelligent system based on neural networks. For this purpose, the work considered the processes of planning and deploying the movement of the robot. The analysis of existing methods of planning the movement of manipulator robots and the review of intelligent control systems made it possible to obtain a complete picture of the current state of this issue. A system is proposed that can perceive the environment and control the movement of the robot by generating the correct control commands. For this, 3 tasks were solved, namely: analysis of the environment in order to determine its features, determination of the trajectory in order to neutralize the collision and determination of controlled influences for the executive authorities in order to implement the movement. The functionality and structure of the neural network for solving each of the tasks are proposed.
Adaptive high speed measuring converter of average voltage values
(National Aviation University, 2020-03-24) Sergeyev, Igor; Сергеєв, Ігор Юрійович
The analysis of the measuring converter of average value voltage using the iteratively integrating method of conversion and its comparison with the analysis the generalized block diagram of the iteratively integrating measuring converter were performed. As a result of comparing the circuit of the measuring converter of average voltage values, which implements the iteratively integrating conversion method, with the generalized structural diagram of the iteratively integrating measuring transducer, the basic equations describing this device are obtained. As a result of the analysis of the generalized structural diagram of the iteratively integrating measuring transducer, an engineering solution is proposed that improves the parameters of the measuring converter of average voltage values by adapting it to the influence of changes in the input voltage frequency. This allows us to improve the dynamic characteristics of the converter of average voltage values when the input voltage frequency changes, which is directly related to the increase in the speed of the converter in the given frequency range of the input voltage or, which is equivalent in this case, to the extension of the frequency range of the input voltage, while maintaining the specified performance. It is proposed to adapt the considered converter of average voltage values to a change in the frequency of the input voltage periodically with a predetermined one, based on a priori information about the nature of the frequency change, periodically or occasionally, as the frequency changes.
Adaptive modeling and forecasting of nonlinear nonstationary processes
(National Aviation University, 2020-03-24) Bidyuk, Petro; Бідюк, Петро Іванович; Sineglazov, Viktor; Синєглазов, Віктор Михайлович
The study is directed towards development of adaptive decision support system for modeling and forecasting nonlinear nonstationary processes in economy, finances and other areas of human activities. The structure and parameter adaptation procedures for the regression and probabilistic models are proposed as well as respective information system architecture and functional layout are developed. The system development is based on the system analysis principles such as adaptive model structure estimation, optimization of model parameter estimation procedures, identification and taking into consideration of possible uncertainties met in the process of data processing and mathematical model development. The uncertainties are inherent to data collecting, model constructing and forecasting procedures and play a role of negative influence factors to the information system computational procedures. Reduction of their influence is favorable for enhancing the quality of intermediate and final results of computations. The illustrative examples of practical application of the system developed proving the system functionality are provided.

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