Relevance of the topic.
    In the modern era of digital development, the automation of the processes of processing and analysis of cartographic images is gaining more and more importance. Segmentation of a cartographic image is one of the key stages in the process of digital processing of maps, which allows you to distinguish and classify various objects of the area: water bodies, forests, urban development, transport infrastructure, etc. Automation of this process not only significantly speeds up the processing of large sets of map data, but also completes the accuracy and objectivity of the results.
The expediency of this study is determined by the rapid development of geographic information systems (GIS) and the growing need for operational updating of cartographic information. The use of machine learning and computer vision methods for solving segmentation tasks deserves special attention.

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Relevance of the topic
Modern industry actively uses ultrasonic technologies for quality control of materials and products. Ultrasonic non-destructive testing is one of the most effective methods for detecting internal defects, which helps to ensure the reliability of structures and prevent emergencies. However, processing and analysing the data obtained during ultrasonic testing remains a challenging task requiring high accuracy and speed.

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Relevance of the topic
Today, the problem of ensuring the security of office premises from unau-thorized access is becoming increasingly important. The use of modern equip-ment and valuable information in offices requires the creation of a reliable secu-rity system capable of preventing threats and responding quickly to emergen-cies.
The development of digital technologies and the integration of IoT solu-tions open up new opportunities for improving security sys

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Master's Thesis titled "Human Condition Monitoring System with Remote Data Collection and Analysis" is dedicated to the development of a modern hardware-software complex for medical monitoring. The goal of the work is to create a system capable of measuring human physiological parameters such as pulse, oxygen saturation, temperature, blood pressure, glucose level, and electrocardiogram (ECG), with subsequent data transmission to a remote server for analysis.
The thesis includes a review of modern methods for monitoring physiological parameters, as well as data transmission and storage systems. The selection of hardware components, such as sensors, a microcontroller board, and wireless communication modules, is substantiated. To ensure measurement accuracy and reliability, algorithms for signal processing, including noise filtering and data normalization, have been developed.

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The thesis considers the problem of ensuring the quality of welded joints of titanium sheets with a thickness of 1 millimeter using the magnetostrictive ultrasonic testing method.

The relevance of the study is due to the wide use of titanium alloys in high-tech industries, where high strength, corrosion resistance and low weight of the material are key requirements. However, welded joints of such sheets require special control due to their sensitivity to defects that can negatively affect the reliability of structures. The magnetostrictive method is used to generate ultrasonic waves capable of diagnosing internal and surface defects, such as cracks, pores and under-penetration, without damaging the material. The paper reviews the principles of operation of magnetostrictive transducers, and also conducts experimental studies of the coefficients of the electroacoustic path necessary to substantiate the requirements for the means of pre-processing of magnetostrictive transducer signals. Recommendations for automating the method have been developed to increase the performance of defect detection in thin titanium sheets.

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  1. Yuzvak O. Automated thermal imaging system for monitoring the condition of underground heating networks
  2. Asinov Y. Automated Medical Monitoring System for Human Condition
  3. Davydenko B. Intelligent home energy security management system
  4. Demochani N. Automated quality control system for automotive body parts paint coating during repair

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АСНК КПІ ім. Ігоря Сікорського, 2021