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Публікація HMI Development Automation with GUI Elements for Object-Oriented Programming Languages Implementation(SSRG, 2022) Mustafa Syed Khalid; Yevsieiev, V.; Nevliudov, I. Sh.; Lyashenko, V.; Alharbi Adel R.; Rajeh WahidIn this article, the authors propose a new method for developing a user interface for industrial information visualizations within Industry 4.0. A feature of the developed method is the use of structured Microsoft Excel files to simplify the presentation of the parameters of the interface being developed. In the course of the experiments, the authors showed the easy way of creating new elements of the industrial interface for the users who are not experts in the field of software development.Публікація The Research of Image Classification Methods Based on the Introducing Cluster Representation Parameters for the Structural Description(Seventh Sense Research Group, 2021) Ahmad M. Ayaz; Gorokhovatskyi, V.; Tvoroshenko, I.; Vlasenko, N.; Mustafa Syed KhalidThe results of the development of high-speed methods for classifying images in computer vision systems using the description as a set of keypoints descriptors are presented. Classification methods based on the system of cluster centers parameters, which are independently constructed for etalon descriptors set, are researched. The competitive voting of the descriptors of object being recognized on a set of etalon centers is proposed. An optimal way of comparing the sets of cluster centers for an object and etalons is applied. Experimental estimation of the efficiency for the two presented classification methods in terms of computation time and classification accuracy based on the results of applied dataset processing are shown. Based on the research, a conclusion about the effectiveness of classification technologies using cluster centers for structural descriptions of images to ensure decision-making in real-time is made.