The experience of the military aggression of the Russian Federation against Ukraine has shown the relevance and necessity of understanding the problems of moral and psychological support in the Armed Forces of Ukraine in modern conditions. The problem of constant misinformation of the population, the spread of propaganda and the implementation of destructive psychological influence in the interests of the enemy is very sensitive. The simplest tool for distribution misinformation is the Internet (its easy access and wide popularity). The goal of the article is to develop a methodology for monitoring negative psychological influences in online media. The basis of develop methodology is the build a mathematical model using a 4th order polynomial trendline. To determine the number of text messages that were simultaneously processed in statistical analysis, the Hurst exponent was applied. Indicators of negative psychological influences in text messages are selected. Statistical observation is carried out at the expense of a database with text messages from online media. The coefficients of the polynomial regression model are calculated using the least squares method for using a spreadsheet processor Microsoft Excel, or by solving a system of linear algebraic equations using Cramer's method. It has been proved that the developed mathematical model for monitoring negative psychological influences is adequate over the time interval under study. Due to the developed methodology for monitoring negative psychological influences in online media, it is possible to mathematically describe the process of the influence of text messages on a person. The mathematical model underlying the methodology can be used not only at the monitoring stage, but also at the stage of counteracting destructive psychological effects, as well as for the implementation of preventive measures to prevent the spread of such effects by taking into account the frequency and common ways of spreading negative psychological effects in text messages online media. It should be noted that the developed methodology can be used to automate online media monitoring in order to timely identify information threats to military command and control bodies and the personnel of the Armed Forces of Ukraine in the context of ensuring the information security of the state.
The rapid development of science and technology is leading to a significant expansion of the application areas of unmanned aerial systems for various purposes. The key to their effective use of unmanned aerial systems is the quality training of operators, an important element of which is the professional psychological selection of candidates, in particular, the assessment of their sensorimotor reactions. This can be ensured by selecting and justifying appropriate assessment algorithms. The article proposes algorithms that make it possible to estimate the time of sensorimotor reactions of an operator of unmanned aerial systems of the first class based on the accumulation of statistical material and its mathematical processing based on the results of a full-scale experiment. This makes it possible to evaluate the numerical characteristics of the distribution of the duration of the average reaction time in three modes: skill development, under conditions of interference, and under conditions of skill reconstruction, and ultimately to obtain a generalized assessment. By analyzing random continuous values that acquire a value over a certain interval, it was possible to establish standards against which the obtained indicators of sensorimotor reaction time of the operator of unmanned aerial systems of the first class are compared and a conclusion is made about their suitability for training. The results of testing of the proposed algorithms were carried out, statistical series for three evaluation modes were obtained.For a visual representation of the series, the corresponding histograms of the distribution of the duration of the average reaction time were constructed. In order to eliminate the representativeness error, the statistical series were aligned by selecting a theoretical distribution curve for each, which reflects only the essential features of the statistical material. For this purpose, the distribution histogram was approximated by a fourth-degree polynomial. The interval of the theoretical density of the distribution, falling within which the sensorimotor reaction of an arbitrary person is considered normal, is established. For a given probability of such an event, the reliability of such an event is 0.95. To verify the effectiveness of the proposed methodology, an algorithm for estimating the time of sensorimotor reaction of the operator of unmanned aerial systems of class 1 in three modes was synthesized and the corresponding software implementing the developed algorithm was developed. Keywords: unmanned aircraft complexes; sensorimotor reaction; mean reaction time.
In order to meet the needs of the Armed Forces of Ukraine (AFU) for specialists in the operation of unmanned aerial systems, the Zhitomir Military Institute named by S. P. Korolev deployed training for operators - military pilots. While creating the material and technical base, the issue of developing and introducing into the training process of simulators that would meet the requirements of higher military education training. Development of the scientific training system was carried out on the basis of the list of basic training issues, profound mastery of which is mandatory for the UAV operator’s. The training system was developed, manufactured and implemented in the training process, which is built as a schematic-abstracted one to ensure the conditions of effective learning material assimilation. The content basis of the scientific training system is a flat schematic outline of the aircraft, which contains typical onboard equipment of unmanned aerial vehicles and a reconstructed connection scheme of the elements. The power of the onboard equipment is provided from the classroom power supply via a stabilized power supply unit. Operation of the onboard equipment can be controlled from the manual control panel and from the ground control station via the Mission Planner program. The Mission Planner can also be controlled from the X - Plane flight simulator. In flight simulation mode, the Mission Planner screen displays a map of the flight route, the X-Plane screen displays the view and spatial orientation as well as the corresponding servo drives of the aircraft's steering surfaces and the main engine operation modes. The software of the scientific training system allows planning and adjusting the route and flight program, practicing UAV piloting skills in the flight simulator mode, simulating flight in different weather conditions. The scientific training system includes a two-channel hardware-software oscilloscope which allows to research electric processes in different electric lines of airborne equipment of the aircraft and pair interconnections between them. Functional properties of scientific training system allow to study theoretically and practice practically a wide range of training issues required in training of UAV operators. Up to this circle includes both the issues necessary for mastering drone piloting and the issues necessary for mastering the maintenance and repairs of UAV.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.