Перегляд за автором "Rudenko, D."

Зараз показано 1 - 3 з 3
  • Зображення мініатюри
    Публікація
    Image Processing as an Analysis Tool in Medical Research
    (IJAAR, 2022) Zeleniy, O.; Rudenko, D.; Lyubchenko, V.; Lyashenko, V.
    The process of research is an important part of the general ideology of knowledge, understanding of the processes that occur at the macro- and micro- levels. Therefore, various methods, procedures, and approaches are used here. Methods and approaches for image analysis are tools for understanding the surrounding world. This tool of knowledge is widely used in various fields of research, practical applications. Image processing and analysis makes it possible to visualize areas of the real world that are difficult to access or invisible to humans. Image processing can also improve the visualization of real world objects, understand the mechanisms of their interaction. One of these priority areas of research is medicine. In this case, we can see the variou s processes that occur in the body, identify the foci of diseases, understand the mechanism of the course of diseases, and diagnose various diseases. For these purposes, various methods and approaches for image processing and analysis are used: image quality improvement, noise removal, contour extraction for different objects in the image, image segmentation, identification of potential objects, object recognition. The use of these methods and approaches for the analysis of medical images and the sequence of u sing these methods depends on the problem that needs to be solved in the process of analyzing the original image. The paper considers some approaches to processing medical images. The features of the use and the expediency of applying certain approaches to image processing are noted. The results obtained are illustrated on real medical images. This allows us to better understand the logic of this study.
  • Зображення мініатюри
    Публікація
    Model for Predictive Analysis of International Trade Based on the Dynamics of Stock Indices (Example of Data from the USA, Canada and UK)
    (IJAAR, 2022) Rudenko, D.; Serhiienko, O.; Zeleniy, O.; Lyashenko, V.
    Forecasting is one of the tools for assessing the functioning and development of processes, phenomena, objects. This tool has found its application in all areas of research. Among these areas of research, one should single out the direction that i s associated with the economy. This is important because such studies help to assess the level of economic development, the welfare of mankind, to find ways for the further functioning and development of various processes, phenomena, objects. To solve the t asks set, various models are used that help to implement a certain forecast scheme. At the same time, the construction of such models involves the implementation of the corresponding stages of modeling. Such modeling steps help determine the type of the final model and implement the required predictive model. Therefore, we pay special attention to the individual stages of predictive modeling.The efficiency of building a predictive model is also determined by the applied problem that needs to be solved in the modeling process. In this paper, we consider the elements of a predictive model for the analysis of international trade. To do this, we use data on the dynamics of stock indices. In particular, we use the dynamics of stock indices, which describe the activities of banking institutions. To build individual elements of the predictive model, we use the apparatus of wavelet theory. Among the tools of wavelet theory, we use wavelet coherence. We also propose an approach for comparing different estimates of wavelet coherence. This approach is based on comparing the corresponding wavelet coherence estimates and visualizing the results. This allows you to better understand the mutual dynamics of stock indices and evaluate the dynamics of international trade. The paper presents various graphs and diagrams that help to understand the logic of the study and the results obtained.
  • Зображення мініатюри
    Публікація
    Modeling Deformation of Spur Gear
    (IA-ESTE, 2021) Lyashenko, V.; Rudenko, D.
    In The work considers 11 types of gears, features of their design and application. Analysis of gears designs is carried out, since shape of teeth directly affects process of teeth gearing, and this, in turn, affects load, which causes deformation of elements. 3D model of spur gear was created in ANSYS system. The work was limited by analyzing problem from point of view of gear wheels’ deformation, which were made of 40L carbon steel and carbon composite material. As a result, finite element modeling and analysis of gears using ANSYS system was carried out.