The paper presents a Python software tool to generate a wireless sensor network (WSN) with the given number of sensors for forestry area monitoring and evaluate the WSN reliability considering multiple sensor failures. The main functions of the software tool are highlighted and parameters that can be set are explained. A sequence diagram is proposed and explained to detail the interactions and data flows between the software tool components during the configuration, execution, and reporting of an experiment. An example of the software tool utilization to generate WSNs for monitoring forest fires within a given forest area in the Kharkiv region (Ukraine), as well as to calculate the probability of WSN failure for various combinations of WSN sensor failures is given.
Machine Learning for Corporate Learning in Virtual Environments: A Systematic Review. This review aims to understand the applications of machine learning in the methodologies, technologies, and techniques used in the field of corporate learning. Method: A PICO approach was adopted in formulating search strategies, using databases such as Scopus. Subsequently, the PRISMA methodology was applied for the analysis of 150 original articles, of which 10 met the inclusion criteria. Results: The systematic review reveals a fascinating research landscape from the authors and a significant increase in research in the field of machine learning. Different methods used in the studies were identified, as well as a variety of efficiency metrics, providing a global and comprehensive view of the model's impact. Conclusions: The importance of machine learning is highlighted in areas such as improving learning processes, personalized adaptation of educational content, and individual performance assessment, but the need for more rigorous evaluations in this field is also emphasized.
The operation of aviation radio equipment is the longest stage of its life cycle. During this stage, intervals of infant mortality, normal functioning, and wear out are distinguished. The moment of transition between the second and third intervals is the beginning of degradation processes in radio equipment. This point must be detected in a timely and accurate manner to support the effectiveness of civil aviation tasks using radio equipment. After detecting the degradation process, it is necessary to analyze the reliability of the radio equipment and evaluate its residual resources. This paper considers the task of assessing the reliability of radio equipment in the case of a linear trend of deterioration of the technical condition. This task is solved based on the use of the maximum likelihood method. The obtained solutions were verified by statistical simulation. The research results can be used in decision support systems during the operation of radio equipment.
The basis of most thermostated quartz oscillators is quartz resonators of two-turn cuts TD, SC, and AT. Resonators based on crystalline elements of these cuts, compared to resonators based on the most popular AT cut, have the main advantage – less influence of climatic and mechanical influences on the frequency, which explains their widespread use. At the same time, double-turn cut resonators have one significant drawback - insufficient mono-frequency, associated with a higher quality factor and low dynamic resistance of the side oscillation (mode B) compared to the main oscillation (mode C). Since the frequency of the secondary oscillation is only ~10% higher than the frequency of the main one, the oscillator circuit has to be complicated by introducing additional selective elements into it, mainly resonant circuits based on inductors. The purpose of the work is a theoretical study of the physical properties of the quartz element of the resonator, namely the calculation of the surface current density on the surface of the crystal element in different modes of oscillation. It has been established that the distributions of current densities over the surface of the piezoelectric element of the side mode B and the working mode C differ from each other and are asymmetrical relative to the center of the piezoelectric element.
