The aim of the project is to develop and implement an automated meter capable of effectively measuring the residual magnetic field in ferromagnetic products. During the project development, the task of designing the meter was successfully addressed, including calculations for the number of turns in the measurement winding and the total active and reactive power required for fluxgate excitation. The graphic part of the project presents the structural diagram of the device, functional diagram, assembly drawing of the meter, and electrical schematic.
Key aspects of the project include the development of a fluxgate transducer, which is the main component of the meter, and the study of methods and means for accurate measurement of the residual magnetic field in ferromagnetic materials.

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This bachelor thesis is devoted to the study of heating systems of private houses and pump automation in these systems.
The work reviewed various heating systems, focusing on solid fuel single-circuit boilers, and also investigated the principles of operation of pumps and existing heating systems. The work also includes conclusions and an overview of the problem.
The paper describes the presented version of pump automation. The principle of operation of the device is considered, as well as an overview of the elements used in the subsystem. The electrical schematic diagram and calculated elements in the diagram are described. The principle of operation of the Arduino Uno microcontroller board in the subsystem is also explained in detail.

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This thesis is devoted to the development of software for analyzing ultrasound images for the purpose of diagnosing polycystic ovaries. In this work, the research of computer vision tools was carried out and the peculiarities of ovarian polycystic disease diagnosis were studied. An experimental system has been developed that uses a convolutional self-designed neural network and the Grad-Cam visualization method for classifying and detecting polycystic ovaries on ultrasound images. The results of the study showed the effectiveness of the developed system, which allows to automate the diagnostic process and facilitate the rapid and accurate identification of polycystic ovaries from ultrasound data.

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The work is devoted to the development of an optical device for controlling the humidity of fabrics in the textile industry. At the current stage of technical development, the automation of technological process management and quality control is of great importance, particularly in the textile industry, where it has a significant economic effect. An optical device for monitoring the humidity of fabrics is necessary in the textile industry.
In the course of the research, the spectral characteristics of wet materials were studied. We were able to see the principle of operation of optoelectronic moisture meters. Also, the principles of construction of well-known IR hygrometers were highlighted. Structural, optical, functional and electrical schematics of the device were developed. The reliability indicators of the device were also calculated and an error analysis was carried out.

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In this diploma work, a study was conducted on the impact of augmented data on the efficiency of a convolutional neural network by adding a small volume of augmented data to the training set. The addition of 10, 20, and 30 percent of augmented data relative to the quantity of the initial sample data was considered.
    Three augmentation methods were applied: mirroring; magnification; rotation.
    The data used included three types of road surface defects: a network of cracks; potholes; linear crack.
    Studies were conducted on the MobileNet architecture using the transfer learning approach.

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  1. Zemliakov O. Automated control system for laser engraving and cutting process
  2. Hryshyn D. Contact-measuring system of coordinate measuring machine
  3. Charnosh A. Automated eddy current system for thickness measurement of aluminum coating during mirror production
  4. Kryzhanovskyi A. Precision sensitive element of an automated stabilization system for light armored vehicles

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АСНК КПІ ім. Ігоря Сікорського, 2021