Перегляд за автором "Botsman, I."
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Публікація Automated System Development for the Printed Circuit Boards Optical Inspection Using Machine Learning Methods(ХНУРЕ, 2021) Nevliudov, I.; Botsman, I.; Chala, O.; Khrustalev, K.The problem of printed circuit boards (PCB) quality optical inspection at their production stage is considered. The automated method of PCB optical inspection on the machine learning methods basis is proposed. The necessary neural network parameters to develop an automated PCB inspection method are calculated. The main capabilities of the created artificial neural network for identifying PCB under test defects are analyzed. The results of the conducted neural network testing that confirm its operability and possibility of use for PCB inspection at the stage of production are presented. The software program was developed that is used for transformations over images, such as converting an image to a grayscale color space and image binarization, which speeds up the neural network by reducing the size of the input matrix to a binary value per pixel of the image. The accuracy of finding each of the PCB defects types was also investigated.Публікація Automation of Mathematical Modeling of Physical and Technological Processes in the Electronic Devices Manufacture(2021) Nevliudov, I.; Chala, O.; Botsman, I.; Klymenko, O.; Vzhesnievskyi, M.The variant of automation of the mathematical modeling process for forecasting the technological process parameters of manufacturing nano and microelectromechanical systems is proposed in the paper. For this task realization, a number of defects were identified and the causes of their occurrence were analyzed, as well as physical and technological transformations that occur in the substrates during technological processes. The software for automation of technological parameters forecasting process is developed and described.Публікація Impact of technological operations parameters on moems components formation(2019) Filipenko, O.; Chala, O.; Bortnikova, V.; Sychova, O.; Botsman, I.In the paper the modeling results for the process of MOEMS functional surfaces shaping are presented. The significance and magnitude of factors that directly affect the shaping process of MOEMS functional surfaces were determined.Публікація Mathematical Model of Substrates Formation for Functional Components of Microoptoelectromechanical Sensors(2021) Nevliudov, I.; Chala, О.; Botsman, I.A method of technological modes determining for the process of substrates surfaces shaping for the functional components of microoptoelectromechanical systems is proposed, which allows to improve the quality of the substrates. A mathematical model is developed that describes the parameters influence degree of the technological process of the substrates functional surfaces shaping for the microоptoelectromechanical systems components on their roughness and allows to predict the parameters of finished optoelectronic products based on these components. The experimental researches results for obtaining the dependence of substrates surface quality for micromirrors of optical switches on processing modes during the grinding and polishing technological operations are presented.Публікація Queries classification using machine learning for implementation in intelligent manufacturing(Publishing House of Bialystok University of Technology, 2021) Bortnikova, V.; Yevsieiev, V.; Botsman, I.; Nevliudov, I.; Kolesnyk, K.; Jaworski, N.The problem of the information retrieval systems operation efficiency increasing in manufacturing is analysed and the general statement of research task is carried out. The training sample preparation for search queries classification was performed, during which the task of search queries classification was formulated, pre-processing of the search query texts was carried out and the dictionary was generated. For the dictionary formation, search queries tokenization and stamping were initially carried out, and then a dictionary was created in the words weight vector form based on the search query text generalized evaluation.Публікація Structural diagram of automated quality control process of silicon wafers during their surface shaping(International Science Group, 2021) Nevlyudov, I.; Botsman, I.; Tesliuk, S.Публікація Systemological method of forecasting the electronic modules parameters(Primedia eLaunch & European Scientific Platform, 2021) Nevlyudov, I.; Botsman, I.; Nevliudova, V.Публікація Technological process modes determination for surface formation of substrates for functional components of microoptoelectromechanical systems(Functional Materials, 2021) Nevliudov, I.; Chala, O.; Botsman, I.A method of technological modes determining for the process of substrates surfaces shaping for the functional components of microoptoelectromechanical systems is proposed, which allows to improve the quality of the substrates. A mathematical model is developed that describes the parameters influence degree of the technological process of the substrates functional surfaces shaping for the microptoelectromechanical systems components on their roughness and allows to predict the parameters of finished optoelectronic products based on these components. The experimental researches results for obtaining the dependence of substrates surface quality for micromirrors of optical switches on processing modes during the grinding and polishing technological operations are presented.