Zhanna Deineko

Kharkiv National University of Radio Electronics · Department of Media Systems and Technology (MST)

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 t...

For the purpose of examining the values of bank lending efficiency in the real sector of Ukraine’s economy, the article considers the efficiency stochastic boundary model. There were analyzed in detail the forms of distribution by particular efficiency value levels of bank lending in the real sector of Ukraine’s economy, which were obtained for 16...

З метою вивчення значень ефективності банківського кредитування в реальному секторі економіки України, у статті розглянута стохастична модель меж ефективності. Докладно проаналізовано форми розподілу за окремими рівнями ефективності банківського кредитування в реальному секторі економіки України, які були отримані протягом 16 різних дат із аналізов...

Extraction of additional information from primary data is an important task for many areas of research. Additional information allows you to more accurately assess the situation and make more effective decisions. For more information, we have selected wavelets and corresponding wavelet analysis methods. We looked at the various applications of wave...

Transition to new technologies and expansion of possibilities of wireless data transmission make the Internet the integral part of a daily life. However, it is necessary to reckon safety of transfer and reception of various data which can be accompanied by a presence of harmful components in a passed content. The phishing attack is one of versions...

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...

In the article, the problems of research and forecasting of Phishing-attacks by a method of discrete wavelet-transformation are considered. A discrete wavelet transformation method for estimating of the probability of Phishing-attacks is proposed; features of using the basic characteristics of wavelet-analysis for the study of time series are shown...

На основании реальных данных, которые характеризуются представ-ленными временными рядами рассмотрена идеология применения вейвлет анализа в исследовании Phishing атак.

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 th...

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 p...

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 us...

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...

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 UrQM...

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 in...

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 w...

. In this paper an adaptive learning method of least-squares support vector machine (LS-SVM) with unchanging architecture is proposed. Feature of this method is that the minimization criterion of empirical risk occurs at the "sliding window" of fixed dimension essentially simplifies numerical implementation of the procedure and allows to process in...

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 sa...

Estimating of the Hurst exponent for experimental data plays a very important role in the research of processes which show properties of self-similarity. There are many methods for estimating the Hurst exponent using time series. The aim of this research is to carry out the comparative analysis of the statistical properties of the Hurst exponent es...

The mathematical model of self-similar stochastic process, which is a functional transformation of a fractal Brownian motion, is offered. The parameters of model are both the degree of self-similarity, and the heaviness of the tail of the probability distribution. The paper demonstrated the possibility of applying this model to construct realizatio...