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The article describes the foundations of using method of using laser Doppler flowmetry in evaluation of the state of blood microcirculation system in students, future software engineers. By the method of laser Doppler flowmetry (LDF)... more
The article describes the foundations of using method of using laser Doppler flowmetry in evaluation of the state of blood microcirculation system in students, future software engineers. By the method of laser Doppler flowmetry (LDF) individually-typological features of indicators of tissue blood flow in conventionally healthy adolescent students aged 17-20 years have been studied. Due to the results of research 3 types of LDF-grams have been defined: aperiodic, monotonous low amplitude, sinusoidal type with high perfusion. Among the examined students, future engineersprogrammers different frequency of appearing microcirculatory types with predominance of normoemic type with characteristic “aperiodic” LDF-gram has been found.
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A generalized model of adaptive compression of data is presented. The peculiarities of numerical model forming of data source are considered. Three methods of adaptive compression of data based on the Fibonacci linear form involving the... more
A generalized model of adaptive compression of data is presented. The peculiarities of numerical model forming of data source are considered. Three methods of adaptive compression of data based on the Fibonacci linear form involving the use of a set of numerical models of data source are suggested and studied.
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New approaches of red blood cell (erythrocyte) controlling by the action of evanescent wave is proposed in the given research work. Theoretical and experimental models for describing the conditions of the erythrocyte transverse motion and... more
New approaches of red blood cell (erythrocyte) controlling by the action of evanescent wave is proposed in the given research work. Theoretical and experimental models for describing the conditions of the erythrocyte transverse motion and the vertical spin realization have been analyzed in the special selected schemes. The use of a linearly polarized plane wave with azimuth of ±45° in a model experiment, specially suggested in this work, allows visualizing the transverse controlled motion of the erythrocyte, which enables to claim about new possibilities for controlling microobjects in biology and medicine.
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Mobility management is the key feature that supports the roaming of users between different systems. Handover is the essential aspect in the development of solutions supporting mobility scenarios. The handover process becomes more complex... more
Mobility management is the key feature that supports the roaming of users between different systems. Handover is the essential aspect in the development of solutions supporting mobility scenarios. The handover process becomes more complex in a heterogeneous environment compared to the homogeneous one. Seamlessness and reduction of delay in servicing the handover calls, which can reduce the handover dropping probability, also require complex algorithms to provide a desired QoS for mobile users. A challenging problem to increase the scalability and availability of handover decision mechanisms is discussed. The aim of the paper is to propose cloud based handover as a service concept to cope with the challenges that arise.
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Abstract In the study, a fractal analysis of thyroid ultrasound images was applied. This method has not been too often used for testing such kind of images so far. Its advantage is a tool in a form of a fractal dimension, which easily... more
Abstract In the study, a fractal analysis of thyroid ultrasound images was applied. This method has not been too often used for testing such kind of images so far. Its advantage is a tool in a form of a fractal dimension, which easily quantifies a complexity of an image texture surface. There is a close relationship between the lesions and an ultrasound image texture in a case of a diffuse form of the Hashimoto's disease. As a result of the analysis, a set of nine fractal descriptors was obtained which made it possible to distinguish healthy cases from sick ones that suffer from the diffuse form of the Hashimoto's thyroiditis. The Hellwig's method for feature selection was utilised. It found the combinations of features of the highest value of the information capacity index. These combinations were applied to build and test five popular classifiers. The following methods were implemented: decision tree, random forests, K -nearest neighbours, linear and quadratic discriminant analysis. The best results were achieved with a combination of three descriptors – fractal dimension and intercept obtained by the power spectral density method and fractal dimension estimated by the box counting method. The LDA (linear discriminant analysis) classifier based on them was characterised by a sensitivity of 96.88%, a specificity at a level of 98.44%, and its overall classification accuracy was equal to 97.66%. These results are similar to the best results of other authors cited in the work where the greyscale image analysis was used.
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The object of the study were time series reflecting changes in time of selected flame geometric parameters, in the cofiring pulverized coal and biomass. These parameters were: contour length, area size, X and Y coordinates of the... more
The object of the study were time series reflecting changes in time of selected flame geometric parameters, in the cofiring pulverized coal and biomass. These parameters were: contour length, area size, X and Y coordinates of the geometric center of gravity. Time series were analyzed using seven popular methods for estimating the fractal dimension. The research was conducted for nine variants of the co-firing process, involving different heat power settings and the air flow rate and 30 biomass content. The results showed that the applied fractal dimensions parameters can be a feature that allows to recognize particular variants of the combustion process. Furthermore, the fractal dimension evaluated by the "madogram" method estimation gives good results for most variants providing good separability of the observations. The obtained results confirm the possibilities of using fractal analysis in flame studies in the co-firing of pulverized coal and biomass.
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Conception of optoimmittance converters construction is developed. The system of their classification is grounded, basic parameters were defined, requirements was formulated and possible ways of their technical implementation was... more
Conception of optoimmittance converters construction is developed. The system of their classification is grounded, basic parameters were defined, requirements was formulated and possible ways of their technical implementation was analysed. By combining a set of the optical and immittance parameters it is possible to realize a large number of optoimmittance converters.
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Acceptable errors of eye optical system parameters preoperative biometrics are substantiated. It allows to determine intraocular lens (IOL) optical power with the accuracy that provides the error of planned postoperative refraction within... more
Acceptable errors of eye optical system parameters preoperative biometrics are substantiated. It allows to determine intraocular lens (IOL) optical power with the accuracy that provides the error of planned postoperative refraction within ±0.25 diopters. It was found that depending on the location of the IOL in the patient's eye, allowable error in determining the required IOL optical power for emetropic postoperative refraction is from ±0.3 to ±0.42 diopters, and for the average eye optical system is within ±0.337 diopters. It is shown that allowable error in determining the required optical power of the implanted IOL is provided if geometric parameters of aphakia eye – the average radius of cornea curvature, the IOL location in the eye and the focal length of the virtual paraxial component, are measured with the same permissible errors ±0.055 mm.
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In this article, we research the physic and mathematical model of a digital coherent optical spectrum analyzer, which made it possible to obtain an analytical expression for calculating the spatial spectral resolution of the spectrum... more
In this article, we research the physic and mathematical model of a digital coherent optical spectrum analyzer, which made it possible to obtain an analytical expression for calculating the spatial spectral resolution of the spectrum analyzer depending on the parameters of the spatial light modulator, the Fourier lens, and the matrix detector. To determine the spatial resolution of the aberrational Fourier lens, it is proposed to use a criterion similar to the Rayleigh criterion. Obtained the formula for determining the dependence of the spectral resolution of the processor on the aberration parameter of the Fourier lens, the research of which showed that for small pixel sizes of the detectors the resolution is determined by the size of the modulator matrix, and for large pixels by the pixel size.
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This paper describes the process for automating quality evaluation of bio-objects by their raster images. The main purpose of this study is to describe the decision-making algorithm on the viability of the embryo according to its... more
This paper describes the process for automating quality evaluation of bio-objects by their raster images. The main purpose of this study is to describe the decision-making algorithm on the viability of the embryo according to its geometric characteristics, such as the thickness of the pellucid zone, the sphericity of the embryo itself, the ratio of the area of the blastomere to the area of perivitelline space. The authors propose to use the methods for linear filtering raster images to obtain numerical characteristics of the quality of bio-objects.
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Abstract The aim of the study was to determine a set of image texture features of the lightweight cementitious composites (LLC) with hydrophobic coatings modified with nanocellulose and use them to assess the materials' durability. A... more
Abstract The aim of the study was to determine a set of image texture features of the lightweight cementitious composites (LLC) with hydrophobic coatings modified with nanocellulose and use them to assess the materials' durability. A novel method based on a combination of image texture analysis and machine learning methods was proposed. Textural features were extracted from the images obtained with a scanning microscope. The best classification model was built by the Support Vector Machine method using 16 features selected by the Sequential Forward Selection algorithm. The model recognizes one of the four ranges of the contact angle, which is closely related to the degree of resistance of the analyzed material, with an accuracy of 82%. The results obtained show a relationship between the effectiveness of hydrophobic coatings in LCC and images of their surfaces. This relationship can be used with machine learning methods for conducting strength diagnostics of building materials.
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Research Interests: Engineering, Physics, Radiation, Skin, Absorption, and 3 morePropagation, Scattering, and Photoplethysmography
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On the basis of mathematical modeling, prognostic measures are identified in the individual rehabilitation program (IRP), which influence on the effectiveness of the rehabilitation process and reduce the limitations in disabled... more
On the basis of mathematical modeling, prognostic measures are identified in the individual rehabilitation program (IRP), which influence on the effectiveness of the rehabilitation process and reduce the limitations in disabled individuals with cardiovascular diseases. According to a multivariate stepwise discriminant analysis, the main rehabilitation measures that increase the effectiveness of rehabilitation in persons with disabilities due to cardiovascular diseases are: "restorative therapy", "medical observation", "counseling on physical rehabilitation", "therapeutic physical education", "examination potential professional abilities", "professional orientation", "rational employment" and "adequacy of the profession and specialty recommended in IRP". Taking into account these measures and their implementation will significantly increase the effectiveness of rehabilitation of a person with disabilities with cardiovascular pathology.
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This work focuses on the further development of the optical methods based on polarization detection to improve the reliability of the results of evaluation of structural changes in biological tissues. The paper presents an experimental... more
This work focuses on the further development of the optical methods based on polarization detection to improve the reliability of the results of evaluation of structural changes in biological tissues. The paper presents an experimental study of tissues with pathological alterations to assess the capacity of differentiation of pathological conditions when using averaged local Mueller matrix elements. Experiments were carried out in direct scattering mode in histological samples of human epidermis. The practical significance of the results is the widespread application of the methodology for laser polarimetric analysis of structural changes in anisotropic tissues to identify and assess the degree of pathology in medical diagnosis of skin diseases.
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Fractal analysis was used in the study to determine a set of feature descriptors which could be applied in the process of diagnosing bone damage caused by osteoporosis. The subject of the research was CT images of vertebrae on the... more
Fractal analysis was used in the study to determine a set of feature descriptors which could be applied in the process of diagnosing bone damage caused by osteoporosis. The subject of the research was CT images of vertebrae on the thoraco-lumbar region. The dataset contained images of healthy patients and patients diagnosed with osteoporosis. On the basis of fractal analysis and feature selection by linear stepwise regression, three descriptors were obtained. These were two fractal dimensions calculated by the variation method and fractal lacunarity calculated by the box counting method. The first two descriptors were obtained as a result of the analysis of gray images, and the third was the result of analysis of binary images. The effectiveness of the descriptors was verified using six popular supervised classification methods: linear and quadratic discriminant analyses, naive Bayes classifier, decision tree, [Formula: see text]-nearest neighbors ([Formula: see text]-NN) and random forests. The best results were obtained using the [Formula: see text]-NN classifier; they were as follows: overall classification accuracy: 81%, classification sensitivity: 78%, classification specificity: 90%, positive predictive value: 90% and negative predictive value: 77%. The results of the research have shown that fractal analysis can be a useful tool to extract features of spinal CT images in the diagnosis of osteoporotic bone defects.