Bohdan Rusyn

Lviv Institute of Physics and Mechanics · Department of Information Technologies of Remote Sensing

The application of a process model to investigate pine tree infestation caused by bark beetles is discussed. The analysis of this disease was carried out using spatial and spatio−temporal models of random point patterns. Spatial point patterns were constructed for remote sensing images of pine trees damaged by the apical bark beetle. The method of...

Nowadays, the systems for visual information processing are significantly extending their application field. Moreover, an unsolved problem for such systems is that the classification procedure has often-conflicting requirements for performance and classification reliability. Therefore, the goal of the article is to develop the wavelet method for cl...

New trends in the development of wireless networks are due to the rapid growth of the speed and computing power of software and hardware digital signal processing. The increase in the rate of information transfer leads to a decrease in the duration of processing signals, which means that finding faster and more efficient methods of spectrum signal...

A method for reconstructing the surface of an object using on a series of images based on the Lambertian model of light reflection is proposed. The original images are obtained by the method of photography under natural lighting. The model parameters are determined by changing the position of the light source using additional shading and the stable...

p>The goal of the metaverse is to provide a synchronized interoperability of real and virtual worlds across multiple domains and applications. The main challenge is to make the metaverse interface both immersive and responsive to user actions. In this paper, we propose a new concept called a distributed wearable smartphone, which provides a synergi...

p>The goal of the metaverse is to provide a synchronized interoperability of real and virtual worlds across multiple domains and applications. The main challenge is to make the metaverse interface both immersive and responsive to user actions. In this paper, we propose a new concept called a distributed wearable smartphone, which provides a synergi...

An accurate analytical solution for positioning technologies based on both the difference of distances from the object to reference points (TDOA) and the distances themselves (TOA) is considered. The bijection of the obtained coordinate transformation allows reducing the problem of hyperbolic positioning to the Cartesian coordinate system. It is sh...

Continuous technological growth and the corresponding environmental implications are triggering the enhancement of advanced environmental monitoring solutions, such as remote sensing. In this paper, we propose a new method for the spatial point patterns generation by classifying remote sensing images using convolutional neural network. To increase...

Modern technologies give an opportunity to create a large number of bathymetric maps, but less of them have been focused on processing the water depth data in order to study and estimate the subterranean sources of water object supply. This study aims to create a mechanism for estimating the productivity of subterranean sources of lakes water suppl...

Network planning of multi-layer heterogeneous mobile networks with complex topology is an important task. In this paper the spectral and energy efficiency of integrated LTE/Wi-Fi technologies for 5G are improved. A method of adaptive formation of the structure of radio access level (RAL) with the provision of the required quality of service (QoS) a...

The methodology of remote sensing image analysis for detection of dependences in the process of development of biological species is proposed. Classification methods based on convolutional networks are applied to a set of fragments of the input image. In order to increase the accuracy of classification by increasing the training and test samples, a...

A new approach to evaluating the informativity of a training sample when recognizing images obtained by means of remote sensing is proposed. It is shown that the informativity of a training sample can be represented by a set of characteristics, where each of them describes certain data properties. A dependence between the training sample characteri...

This paper presents a novel method for the detection of binary- and random-valued impulsive noise in contaminated images. The noise detector has been developed to classify the certain intensity image pixels as corrupted or uncorrupted based on their relative position. To perform such classification, we regard noise as random points and propose to u...

The method of tomographic reconstruction of inhomogeneities in case of an arbitrary directional diagram and scanning along one coordinate is described. It is shown that in this case registered data (projections) are represented as the sum of the line-by-line convolutions of the lines of the directional diagram and the corresponding line of the reco...

The use of engineering cementitious composites – a specially developed cement-based material reinforced with fibers – allows to enhance the bearing capacity, stability under static and dynamic influences, as well as durability of building structures. The effect of component composition of engineering cementitious composites on workability, flexural...

The article provides a detailed review of the problem of deforestation, which in recent years has become uncontrolled. The main causes of forest damage are analyzed, among which the most well-known are climate change, diseases and pests. The losses of forestry as a result of tree diseases, which are large-scale and widespread in other countries, ar...

The paper is devoted to the development of the methods for segmentation of images of atmospheric clouds, which are obtained by remote sensing methods using aircraft or satellite onboard systems. The proposed approach is some extent further improvement of the convolutional neural network of the U-net type. The uses known quality criteria for segment...

The aim of the current work is to create a mobile application that helps bard singers and guitar players sing the same songs and play the same chords. The development of this software product was conducted under the operating system Android using Java programming languages and Kotlin. SQLite database management system was selected for storing data....

The effective filtering of noisy signals is one of the topical and open problems of the processing of noisy signals characterized by the presence of pulse interferences. A robust approach to intensity estimation of noise-like signal in the presence of additive uncorrelated pulse interferences has been proposed. The presence of additive uncorrelated...

Annotation. An overview of the design and development features of the Virtual Library information system was conducted. A new approach is proposed for designing and developing the Virtual Library information system for saving and development of e-books in the MARC 21 format. The model of information system Virtual Library is proposed.

A detailed review of methods and technologies for image compression in remote sensing problems is given. A modified lossless image compression technology for on-board systems with a single scanning linear CCD is proposed. The lossless compression algorithm is based on modified LOCO-1. The work demonstrates the efficiency of compression which in som...

The question of "helio-dependence" of water level fluctuations within the closed type lakes in the West Polesie nature protected areas has been considered in the paper. The method of correlation analysis was used to define the interrelation between helio-and geophysical processes in the part that provides the ecological safety of the territory. The...

The problem of the automated determination of the parameters of the sporadic decameter radio emission of the Sun with help of the radio-telescope URAN-3 taking into account its functions in the Ukrainian VLBI URAN structure is analyzed. An overview of alternative solutions of the problem is carried out. The technology of searching and detecting the...

Texture features are widely used in remote sensing image classification. In most cases they are extracted from grayscale images without taking color information into consideration. The texture descriptors, which consist of characteristics of random point fields formed for pixels of distinct intensity of grayscale and color band images are presented...

We develop automated method aimed at the evaluation of the parameters of the annular microstructure of TiC–VC–nano-WC–NiCr hard alloys. The software package is written in the C ++ 98 standard language with the use of cross-platform programming paradigms. For the determination of the bulk fractions of the main structural components of alloys and the...

We performed a series of experiments aimed at the investigation of the propagation of pitting corrosion in stainless steels. A collection of fragments of the surface damaged by pitting corrosion was obtained with the help of the anode polarization of samples of materials in chlorine-containing media. For the analysis of their images, we used statis...

The new method of modeling the physics processes by their simulation using cellular automata (CA) is proposed. Destruction dynamic of the analyzed areas is shown. Modeling using CA enables a creation the simulation of dynamic systems with high correctness of pitting corrosion, including the micro-level. The results of modeling the example of pittin...

A new approach to the segmentation of an image is proposed on the basis of modeling the spatial distribution of points in the image plane and their ability to identify clusters. Based on detected histogram peaks, a sequence of dominant brightness values (brightnesses) is formed for each fragment of the image. Point fields are formed for each image...

To model the evolution of pits and pitlike defects, it is proposed to use cellular automata. The dynamics of fracture of the investigated areas is discussed. We perform the comparative analysis of the rates of pitting corrosion running under the actual conditions and simulated. It is shown that the procedure of simulation with the use of cellular a...

Simulation results from using the cellular automata as an example of defects on the surface of austenitic stainless steel 08Cr18Ni10Ti are presented in this paper. Practically confirmed the feasibility of the proposed method for simulation modeling of corrosive process of steel in neutral environments.

The method of integrating normal’s field is improved by using the proposed algorithm for breaking local areas based on Schwartz equations. It was proposed local criteria of splitting normal’s onto local areas, which is crucial for the next step of building the sequence chain. The process of classification in case of reducing the training set to sel...

We study the problem of three-dimensional reconstruction of the surface on the basis of its two-dimensional images with an aim to apply the results of its solution for the analysis of the images of materials damaged by pitting. We propose a method for finding the depth of pitting according to the estimates of a series of metallographic images with...

The paper describes obtaining pitting images in processes of their growth and metal surface destruction simulation by cellular automata (CA) method application. Dynamic process of destruction of the analyzed areas is shown. New algorithm of simulation and a series of evolution local rules for cells of automaton by image reproduction are presented....

For the quantitative analysis of fractographic images, we have used the method of segmentation of fractographic images by multilevel thresholding. In contrast to known approaches, to decrease the distortion of a segmented image, we took into account common features characteristic of not only its large components, but also small ones, to which low p...

Approaches to calculating upper-bound estimates of recognition probability are proposed that can be used for a more general class of models. One of estimates determines the stability of object coverage by classification algorithms on the basis of distribution of distances between objects, and another estimate is underlain by leave-one-out cross-val...

We have analyzed quantitatively parameters of pit-like defects on the surface of corroded D16 sheet alloy by methods of statistical processing of their metallographic images. The depth of penetration of corrosion damages has been determined by 3D-optical profilometry and by measuring sizes on crosssections. We have determined the relation between t...

In this paper the method of image segmentation by application of point pattern characteristic is shown.

A stereo image matching method is developed for the solution of the problem of reconstruction of surfaces with corrosion defects. Special attention is given to the problem of improvement of mathematical models of an objective function and methods for its optimization in the presence of shaded regions in the images of a metal surface, which are obse...

In this paper the problem of metallographic image processing is considered. It is developed a new approach to filtering a multiplicative noise (stria) on metallographic images. This approach is based on the spectral analysis of images and finding the spectral regions that carry information about stria. Also it is proposed a new approach to eliminat...

In this paper a novel method of biometric protection of private keys is consider. This method is based on enhanced Juels and Sudan ”fuzzy vault” scheme. Introduced algorithms utilize minutiae based fingerprint data for key locking procedures. It is proposed to include derived cryptographic primitive into special ≪biometric≫ extension of X.509.v3 ce...

This paper presents an algorithm for finding thresholds by clustering data formed thru detection in different size image parts histogram peaks.

In this paper an approach that provides an estimate of the influence of decreasing sizes of database classes on a recognition rate when the k-nearest-neighbors classifiers are in use is proposed. The approach also ensures the feasibility of identifying an optimal number k of the nearest neighbors on a given set.

Features that are inherent to recognition systems that lay claim to constituting an optimal design are considered. A maximal probability of correct recognition is characteristic of such systems. The degree of optimality of systems, the quality of a constructed classifier, or the dimension of the confidence interval may be established on the basis o...

Wavelets are functions that satisfy certain mathematical requirements and are used in representing data or other functions. In wavelet analysis the scale that we use to look at data plays a special role. Wavelet algorithms process data at different scales or resolutions, emphasizing data's gross or small features.

Wavelets are functions that satisfy certain mathematical requirements and are used in representing data or other functions. In wavelet analysis the scale that we use to look at data plays a special role. Wavelet algorithms process data at different scales or resolutions, emphasizing data's gross or small features.

A short overview of the existing methods for 3D surface reconstruction is given. With the aim of definition of geometrical parameters of pittings on metal surfaces the methods of stereo- and shading reconstruction are considered.

The new method for computation of Radon transform was presented. It is based on non-linear transformation of the length of linear features in parameter domain. The method of affine parameter estimation in parameter domain of this transform were proposed and its characteristics were investigated.

Novel feature extraction methods for 3D image are considered. The method for 3D image feature extraction of surface is proposed. The advantages of the method are shown.

In this paper the work of general classifiers based on distance function that work in small test sample conditions has been investigated. The way of identical estimations obtaining on small samples has been presented. Influence of the main factors that conditioned such classifiers work has been established. Basing on face recognition system example...

We consider the problem of three-dimensional reconstruction of the surface according to its two-dimensional images. The results of this reconstruction are applied to the analysis of the images of materials with cracks. We describe each step of the algorithm used for the analysis of the characteristics of cracks in the material according to their im...

The system is designed for efficiency evaluation and calculation of excessive durability of operational elements of the water steam route TEPS energy unit structures.

Kohonen neural network disadvantages for image compression are analyzed. A neural core method for Kohonen network learning is proposed. The efficiency of neural core entropy method for Kohonen network learning is shown.

In the given article the authors describe the developed image database on the operational damage of the constitutive elements of the water steam route of the TEPS power units as well as their analysis and classification according to the nature of the destruction process.

Are considered pulsing information grates (pulsing), as computing structures with homogeneous architecture of environment. Pulsing represent computing with a matrix of one- bit processors, which are connected among themselves. Feature pulsing is that they are projected as a plate pulsing, silicon platform with the appropriate topology of functional...