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Information and measurement system for analyzing images of fundus tissue using computer-integrated technologies
(Ternopil-Opole, 2025) Povstianoi, Oleksandr ; Vynokurova, Olena; Denysiuk, Viktor; Lapchenko, Yurii; Hrudetskij, Roman
The paper presents the results of research and development of a modern information and measurement system (IMS) designed for automated analysis of fundus images for the purpose of diagnosing and monitoring ophthalmic pathologies. The proposed system combines methods of digital medical image processing, artificial intelligence and computer vision, which allows ensuring high accuracy and objectivity of the diagnostic process. Particular attention is paid to the use of deep learning algorithms for the segmentation of anatomical structures of the retina and analysis of fluorescent images. A comprehensive method of photodynamic diagnostics and therapy has been developed, which is implemented based on a modified slit lamp with a laser illuminator. Effective methods of image registration and processing have been proposed, in particular their synchronization and spectral analysis, which allows for quantitative assessment of the state of tissues. The results of the study can be used in ophthalmological practice to increase the accuracy of early detection of pathologies, as well as in telemedicine and personalized medicine systems.
Automated Control System Qualities of Roller Bearings in Butt End Grinding Operations
(Springer, Cham., 2025) Ptachenchuk, Vitalij; Denysiuk, Viktor; Lapchenko, Yuri; Symoniuk, Volodymyr; Reshetylo, Oleksandr
An automated system for controlling the quality of the surface layer during grinding has been developed, which makes it possible to carry out highly productive and defect-free processing of flat surfaces of structural steels by energy parameter, cutting power in particular. The proposed system makes it possible to avoid scorch marks, reduce the hardness of the material surface due to uneven workpiece allowance and high temperatures in the cutting zone, and stabilize roughness. The operation of the adaptive system is based on temperature moni-toring of the surface layer, which is determined by the operating parameters of the machining process (workpiece feed rate, allowance size, and cutting ability of the abrasive tool). An algorithm for the operation of an automated quality con-trol system for the machining of roller bearing rings in centerless face grinding operations has been developed, which takes into account the unevenness of the machining allowance and allows for automatic dressing of grinding wheels as they become blunt. The use of the automated system made it possible to stabilize the parameters of the surface layer of the ends of bearing rings in terms of roughness at the level of 0.4–0.6 μm and hardness of 60–62 HRC, to avoid scorch marks and product defects, and to improve the efficiency of the process of machining flat surfaces in the machine-building industry.

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