Today, unmanned aerial vehicles (UAVs) are rapidly gaining popularity in many countries of the world. The main reason for the use of unmanned aerial vehicles is to reduce human and economic losses, especially when used in the military sphere. UAVs have a wide range of applications.
Application of military UAVs:
- Conducting tactical and strategic intelligence;
- Striking and intercepting air targets;
- Detection of explosive objects, etc.
Bachelor's degree project on the topic "Automated control system for overloading vehicles in motion". The project consists of an introduction, two chapters, conclusions, a list of references and appendices. The project consists of 63 pages, 4 tables, 27 figures, a list of references consisting of 29 titles, and 4 appendices.
The purpose of the thesis project is to develop an automated system for measuring the weight of cars in motion. In the design and development part of the project, the existing types of systems and some implemented designs used in world practice for weighing vehicles in motion are analyzed. The expediency and relevance of designing a platform-type system with transducers representing separate structural elements are substantiated. The characteristics of two types of weighing strain gauge transducers with a shear elastic element and a tensile-compression elastic element are considered.
In the second part, we calculated the manufacturability of the transducer design to assess the feasibility of manufacturing a shear-type transducer. The scheme of the assembly warehouse and the technological scheme of the transducer assembly were developed.
Research advisor: V. Zaitsev
The diploma project is dedicated to the development of a portable radiometer that provides accurate and reliable measurement of radiation fields in real-time. In the context of increasing importance of radiation safety, the portable radiometer can become a valuable tool for monitoring and controlling the radiation environment. The project includes an analysis of the principles of operation of portable radiometers and existing solutions. Various types of sensors for measuring radioactive radiation, as well as data processing and analysis algorithms, are investigated. Potential applications of the portable radiometer in nuclear energy, medicine, industry, environmental monitoring, and population safety are discussed. The main objective of the diploma project is to enhance the portable radiometer by optimizing data processing and analysis algorithms, developing new types of sensors and their integration. Furthermore, the possibility of expanding the device's functionality, including additional measurement parameters and wireless data transmission, is considered.
Today it is impossible to imagine machine-building production without the use of steel. Due to the good mechanical properties of steel, responsible parts are made. Therefore, today non-destructive testing of steel is an urgent task.
The diploma project consists of four sections. In the first section of the diploma project, an analytical review was conducted, in which the object of control was considered. Analysis of methods of non-destructive testing of steel, their advantages and disadvantages. In the second section, a direct combined piezoelectric transducer, acoustic and electroacoustic path were calculated. The structural scheme, and on its basis functional is developed. All nodes of the functional scheme are calculated and coordinated. The third section reviews the technology of making a direct combined piezoelectric transducer. And also creation of its 3D model in the SolidWorks software environment. In the fourth section, error calculations were performed. Based on calculations and designs electrical circuit diagram.
This diploma project consists of 52 pages, 26 illustrations, 32 formulas, 22 literature sources.
In the diploma project the aorithm of localization of the point of origin of the electromiagraphic signal was developed, the EMG signal was modeled. The dependences of signal propagation in muscle tissue on the signal characteristics are derived. The algorithm implements amplitude analysis and power spectral density analysis.
