Modern underground heating networks are a critical component of urban infrastructure, and their condition directly impacts energy efficiency and safety. However, detecting damage or heat leaks in these networks is a challenging task due to their underground location and limited accessibility for traditional monitoring methods.
This master's thesis is dedicated to the development and implementation of an automated thermal imaging system for monitoring the condition of underground heating networks. The system combines the use of thermal imaging cameras and automated data processing algorithms to detect temperature anomalies indicating potential damage or heat leaks in the networks.

Hits: 80

The master's thesis consists of an introduction, five chapters, conclusions and a list of references. This diploma also contains 144 pages, including 48 figures, 32 tables, and 32 sources.
Relevance of the topic. In today's world, automation and the introduction of artificial intelligence in the healthcare sector are important for ensuring high-quality diagnostics and monitoring of patients' condition. The growing number of diseases, such as cardiovascular, metabolic, and respiratory disorders, requires innovative approaches to their detection and management. Early detection and risk assessment of such diseases can significantly increase the effectiveness of treatment, reduce the workload of medical staff and improve the quality of life of patients. Modern healthcare facilities need systems that can analyse large amounts of medical data, predict disease risks, integrate with existing information systems and support physician decision-making. Given these challenges, the creation of an automated medical monitoring system using intelligent technologies, such as machine learning algorithms, is a relevant and promising area of research.

Hits: 50

The master's dissertation comprises an introduction, six main chapters, general conclusions, and a bibliography. The dissertation encompasses 98 pages, 30 illustrations, 29 tables, and 15 references.
Objective and Tasks of the Study. The aim of the dissertation is to develop an intelligent home energy management system. The main tasks of the dissertation include:
- introduction (introduction to the field of application and practical value of the proposed system);

Hits: 805

The master's thesis consists of an introduction, six main chapters, general conclusions and a list of used literature and sources. The thesis contains 92 pages, 28 illustrations, 28 tables and 13 references.
Thus, the goal of the master's thesis is the development of an automated quality control system for painting car body parts during repair work.

Hits: 286

Actuality of theme. The automated eddy current control system of fuel cell tubular shells is a hot topic, as it relates to the safety and efficiency of nuclear energy, which is one of the most promising and clean energy sources in the modern world. Nuclear reactors are used not only to generate electricity, but also for scientific, medical and industrial purposes. However, nuclear power also has its risks related to possible accidents, radiation leaks, terrorist attacks and waste disposal problems. Therefore, it is necessary to ensure a high level of quality control and reliability of nuclear installations, especially those containing heat-emitting elements (fuel cells), which are directly involved in nuclear fission.

Hits: 1869

  1. Sen В. Automated first-person control system for an aviation drone model
  2. Vitkovskyi V. Thermal imaging camera for UAV
  3. Solonetskyi I. Ultrasonic automatic aircraft wing inspection system using impedance method
  4. Kuranda M. Diagnostic system with remote data processing

Page 4 of 26

АСНК КПІ ім. Ігоря Сікорського, 2021