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Algorithms for control of longitudinal motion of a two-wheel experimental sample
(ХАІ, 2021)The subject of study is the process of forming algorithms for controlling the angular and translational move-ments of a two-wheeled experimental sample (TWES). The aim is to develop approaches to the formation of control ... -
An adaptive learning, technical intelligent tutoring system for signal-parametric fault-tolerant systems
(ХАІ, 2015)In this paper, it is presented an intelligent tutoring system for signal-parametric fault-tolerant systems. The Technical Intellectual Tutoring System (TITUS) takes advantage of Bayesian networks (BNs), which are a formal ... -
An improved fault-tolerant algorithm for a gyroscopic sensors unit
(ХАИ, 2012)An improved fault tolerant algorithm is presented. Its mathematical models as well as its implementation are discussed in this work. The algorithm’s effectiveness has been proved by means of computer program and applied to ... -
Analysis and evaluation of announcement of medical workers and its automation
(Планета-прінт, 2019)The aim of this study is to create a software package that would allow for automated assessment of the knowledge of nurses about the prevention of hand hygiene in the performance of professional duties. -
Analysis of airborne liquid hydrogen cylinder ultimate load capacity
(2023)The purpose of this work is to do the preliminary design of the aircraft, review and prospect of the sustainable aircraft and analyse the liquid hydrogen cylinder ultimate load capacity in hydrogen aircraft. -
Analysis of destruction causes of retaining ring of turbogenerator
(ХАИ, 2018)Description of the destruction (emergency) of a retaining ring of a pre-series Turbogenerator of medium power is submitted in the scientific work. The following destructions were detected: rupture of the back part of ... -
Analysis of opportunities to improve image denoising efficiency for DCT-based filter
(ХАІ, 2018)The subject matter of the paper is the process of image filtering. The goal is to provide high efficiency of denoising according to metrics that are more adequate to human vision system than traditional criteria as mean ... -
Analysis of pollutants in air within the territory of Ukraine using geostatistical methods
(ХАІ, 2023)Air quality has recently been of great concern, as it directly affects people's lives. Continuous monitoring of atmospheric air quality and forecasting the dynamics of its changes are essential steps in assessing its current ... -
Analysis of protecting methods of objects configuration space
(Планета-прінт, 2019) -
Analysis of two-step approach for compressing texture images with desired quality
(ХАІ, 2020)A task of lossy compression of remote sensing and other types of images with providing the desired quality is considered. Quality is mainly characterized by the peak signal-to-noise ratio (PSNR) but visual quality metrics ... -
Analytical and numerical linearization of the flight vehicle nonlinear dynamic model in the presence of wind
(ХАИ, 2017)In this paper, nonlinear mathematical dynamic model for standard unmanned aerial vehicle, Aerosonde was developed at low velocities in the presence of wind and then its linearized model was derived using numerical and ... -
Analyzing algorithms for verifying primality of large numbers
(Бровін О. В., 2023)The purpose of this work is to analyze existing algorithms for minimizing testing of large numbers. -
Application of atomic functions to image compression
(Планета-прінт, 2019) -
Application of dynamic programming approach to computation of atomic functions
(ХАІ, 2021)The special class of atomic functions is considered. The functions considered are used in discrete atomic compression (DAC) of digital images. The algorithm DAC is lossy and provides better compression than JPEG, which is ... -
Application of machine learning methods for time series forecasting
(Планета-прінт, 2020) -
Application of machine learning methods to COVID-19 epidemic process simulation
(Планета-прінт, 2020)This research is based on Linear Regression and SIR models to analyze the available datasets and present a practical understanding of the trend, which as a result will lead to the ability to forecast the cases in upcoming days. -
Application of neural networks for predicting epidemic processes
(Планета-прінт, 2019)