ElAr :: Перегляд за автором "Deineko, Z."

Перегляд за автором "Deineko, Z."

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Building robot voice control training methodology using artificial neural net
(IAEME publication, 2017) Matarneh, R.; Maksymova, S.; Deineko, Z.; Lyashenko, V.
The article describes using artificial neural net for speech recognition. This is necessary for the automation of construction work. We selected multi-layer perceptron for separate words recognition tasks. We researcheddifferent forms of hidden layer. And we made a conclusion that for voice commands analysis tasks solution it is expedient to use multi-layer perceptron with linearized functions (the best result was achieved using model with hidden layer with linearized hyperbolic tangent function). We use this experience to train robots in civil engineering.
Comparative Characteristics of Filtration Methods in the Processing of Medical Images
(AJER, 2020) Orobinskyi, P.; Deineko, Z.; Lyashenko, V.
Digital image analysis is one of the research tools in various fields. Such a tool plays a special role in the study of medical images. This is due to the specifics of the data that can be displayed on medical images. Examples of such images are digital images of E.coli. These images were obtained under a microscope. Processing of such images provides additional information. We consider the filtering procedure as a method of preliminary image processing. Among these filtration procedures, we examine classical filtration methods and filtration, which takes into account the geometric dimensions of E.coli. The article presents the results of experiments. A comparative description of various filtration procedures is given. This is based on various image comparison metrics. It is concluded that it is necessary to take into account the geometric dimensions of E.coli when using filtration procedures.
Defects of communication pipes from plastic in modern civil engineering
(TJPRC Pvt. Ltd., 2018) Lyashenko, V.; Ahmad, M. Ayaz; Sotnik, S.; Deineko, Z.; Khan, Alveera
Plastic is an important material that is used in civil engineering. Communication pipes - one of the directions of use of plastic. The external environment affects the quality of the use of plastic pipes. Therefore it is important to know the defects of plastic products. It is also necessary to make assessment of the quality of the use of plastic pipes. It depends on many factors. Therefore the task of detection and preventing of the communication pipes defects - the complex task. We did a survey of the major defects of the communication pipe. We have examined the factors that influence the formation of defects in the communication pipe. A classification of variable factors that affect the quality of communication pipes is proposed. A generalized algorithm for evaluating the quality of communication pipes has also been developed.
Development of an Information Model for Industrial Robots Actuators
(IOSR, 2019) Matarneh, R.; Sotnik, S.; Deineko, Z.; Lyashenko, V.
This work aims to develop a classification model for drives actuators features depending on their feature. The proposed model consists of nine levels that include the most common actuators, which in turn will facilitate easy identification of relationships and ease of finding alternatives. On the basis of the proposed classification, an information model of actuator alternatives has been created, which reflects key information about them. The created model will provide an opportunity to reduce the design time of the actuators.
Highlights methodology of time characteristics optimization for plastic products production
(SPC, 2018) Matarneh, Rami; Sotnik, S.; Deineko, Z.; Lyashenko, V.
Basic elements of casting process and its main stages are considered. Features of time characteristics for production of plastic products are investigated. The main stages in the methodology of time optimization characteristics for the production of plastic products are given. The proposed methodology allows to increase productivity and optimize the time characteristics of the process of production of plastic products, taking into account the preservation of the quality of plastic products which is achieved by reducing the casting cycle. At the same time the considered methodology considers plunger time forward and backward, the "course" of the nozzle time, the time of extraction of the product from the matrix during the production of plastic products.
Hurst Exponent as a Part of Wavelet Decomposition Coefficients to Measure Long-term Memory Time Series Based on Multiresolution Analysis
(SciEP, 2016) Lyashenko, V.; Matarneh, R.; Baranova, V.; Deineko, Z.
Processing and analysis of data sequences using wavelet-decomposition and subsequent analysis of the all relevant coefficients of such decomposition is one of strong methods to study various processes and phenomena. The key point of data sequence analysis lies in the concept of Hurst exponent. This is due to the fact that Hurst exponent gives an indication of the complexity and dynamics of the correlation structure of any given time series taking into consideration the importance of Hurst exponent estimation for such analysis. There are various methods and approaches to find the Hurst exponent estimation with varying degrees of accuracy and complexity. Therefore, in this paper we have made an attempt to prove the possibility of considering an estimation of Hurst exponent based on the properties of coefficients of wavelet decomposition of a given time series. The obtained results which mainly based on the properties of detailing coefficients of wavelet decomposition show that estimation is easy to calculate and comparable with classic estimation of Hurst exponent. Also ratios has been obtained, that allow to analyze the self-similarity of a given time series.
Methodology of Wavelets in Relativistic Heavy Ion Collisions in One Dimensional Phase Space (η-Space)
(Scientific Research Publishing, 2017) Lyashenko, V.; Mohammad, A.; Deineko, Z.; Hashim, R.
An attempt has been made to apply the wavelet methodology for the study of the results of the chaotic behavior of multiparticle production in relativistic heavy ion collisions. We reviewed the data that describes the collisions of relativistic heavy ion for the case η-space in 1-D phase space of variable. We compared the experimental data and UrQMD data using wavelet coherency. We discussed the results of the comparison.
Properties of wavelet coefficients of self-similar time series
(IJSER, 2015) Lyashenko, V.; Deineko, Z.; M. Ayaz Ahmad
The analysis and processing of sequence of the data presented in the form of time series, is one of the prevalent methodologies in studying of various processes and the phenomena which are concerned to different fields of activity and researches. As a practice shows, the most of investigated time series have a property of self-similarity. At the same time, among existing variety of different ways and methods for the data processing which are presented in the form of a time series, it is possible to allocate the ideology of a multiresolution wavelet-analysis. The essence of such ideology consists in carrying out of wavelet-expansion of investigated data and the subsequent analysis of corresponding coefficients of such expansion – wavelets coefficients. Thus, necessity in answer to a question about properties of such wavelet coefficients is objective. It makes a basis of the given research. Hence, the basic properties of wavelet coefficients of self-similar time series are formulated and proved on theoretical level in this work. Also, there are presented the results of experiments which have confirmed a theoretical substantiation of the basic properties of wavelet coefficients of self-similar time series. They have shown that the considered properties are characteristic for time series with different correlation structure.
Spatial-Temporal Analysis the Dynamics of Changes on the Foreign Exchange Market: an Empirical Estimates from Ukraine
(AMRS, 2020) Vasiurenko, O.; Lyashenko, V.; Baranova, V.; Deineko, Z.
The foreign exchange market plays an important role in the formation and development of financial markets. This market is of particular importance for emerging economies. To understand market trends (to understand and develop a strategy for its development), it is necessary to analyze historical data. It is also important to use different methods to carry out this analysis. Based on this, the paper analyzes the foreign exchange market in Ukraine for the period 2014-2018. For this analysis, the wavelet coherence methodology is used. This made it possible to assess the development of the foreign exchange market in Ukraine.
Study of Wavelet Methodology and Chaotic Behavior of Produced Particles in Different Phase Spaces of Relativistic Heavy Ion Collisions
(Scientific Research Publishing, 2017) M. Ayaz Ahmad; Lyashenko, V.; Deineko, Z.; Jalal Hasan Baker; Shafiq Ahmad
We applied the wavelet methodology for our earlier published research work of the chaotic behavior so called multiplicity fluctuations of secondary charged particles produced during the nucleus-nucleus (A-A) collisions at an energy of the order of ≈ 409 GeV in a new fashion. We illustrated the wavelet coherency in a relation of chaotic behavior for above said data of secondary charged pions in different phase spaces of collisions such as: η-space, φ-space (in one dimension) and ηφ-space (in two dimensions) respectively. We have shown the changes in the wavelet coherence when there are different values of two parameters “q” and “p”. We discussed our new results for the comparison purpose and findings were in the good agreements.
Using the Properties of Wavelet Coefficients of Time Series for Image Analysis and Processing
(SciEP, 2016) Lyashenko, V.; Matarneh, R.; Deineko, Z.
Image processing is used in many fields of knowledge; because it allows to automate processes to get more information about the object being studied. Image processing techniques are many and varied. Wavelet analysis is one of such techniques. Among various methods and approaches of wavelet processing we distinguish the ideology of multiresolution wavelet analysis. The essence of this ideology is to perform wavelet decomposition on test data and the subsequent analysis of the relevant factors of this decomposition (the wavelet coefficients). An important aspect is the consideration of the properties of the wavelet coefficients. Based on this, we have examined the feasibility of using the properties of detailing wavelet coefficients to study and compare different images. We have introduced additional characteristics of images on the basis of sets of detailing wavelet coefficients decomposition. These characteristics reflect the dynamics of change in mean and variance for the detailing of the coefficients of the wavelet decomposition. We have shown that the dynamic changes in mean and variance of detailing coefficients of wavelet decomposition can be used to analyze and compare different images.
Using Wavelet Analysis to Assess the Impact of COVID-19 on Changes in the Price of Basic Energy Resources
(WARSE, 2020) Mustafa, Syed Khalid; Ahmad, M. Ayaz; Baranova, V.; Deineko, Z.; Lyashenko, V.; Oyouni, Atif Abdulwahab A.
To overcome a pandemic, reliable statistics are needed. It is also important to use assess the development and impact of the pandemic. This is important for making effective management decisions. Based on this, the paper analyzes the impact of COVID-19 on changes in the price of basic energy resources. This analysis is based on the ideology of wavelets. We used the method to calculate wavelet coherence estimates. The adequacy of using the ideology of wavelets to obtain appropriate estimates is shown. The results are obtained for real data.

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