This paper proposes a method of automatic speaker-independent recognition of human psycho-emotional states by analyzing the speech signal based on Deep Learning technology to solve the problems of aviation profiling. For this purpose, an algorithm to classify seven human psycho-emotional states, including anger, joy, fear, surprise, disgust, sadness, and neutral state was developed. The algorithm is based on the use of Mel-frequency cepstral coefficients and Mel spectrograms as informative features of speech signals audio recordings. These informative features are used to train two deep convolutional neural networks on the generated dataset. The developed classifier testing on a delayed verification dataset showed that the metric for the multiclass fraction of correct answers’ accuracy is 0.93. The solution proposed in the paper can be in demand in human-machine interfaces creation, medicine, marketing, and in the field of air transportation.

The rapid growth and emergence of breakthrough technologies in the information and communication field requires annual adjustment and modernization of curricula for specialization disciplines in accordance with the current market requirements. A method of prompt response of the educational environment to the requirements of the external environment, based on the creation of a pool of demanded learning outcomes, is proposed. The object of the research is the process of formation of the required content of specialization disciplines. A formalized method for forming the content of educational disciplines of specialization of maximum utility for implementation in the professional field is described based on expert assessments of representatives of the job market. An algorithm for finding a set of learning outcomes for the identified conditions was devised. A software tool that includes a database and two components: a web interface for collecting and primary processing of information and a C++ program module for automating the main algorithm was developed. The result of the software tool is a pool of learning outcomes recommended for implementation in the content of the educational program. The results of an experimental study based on test data, which proved the accuracy of the calculations of the software component, were presented. Verification of data in the area of web technologies and web programming made it possible to identify a list of learning outcomes for implementation in the educational program «Information Systems». The algorithm developed as a result of research can be used to form the demanded content of elements of educational programs in any industry. It is supposed to develop the proposed method when creating interactive training programs on the technological processes of aircraft repair at the enterprises of the aviation industry.

The paper considers the issues of calculating the volume of the landslide from remote sensing data. The main methods of obtaining information during research are field observations. The most important results of field studies are quantitative estimates, such as the volume of the embankment resulting from a landslide, morphometric indicators, etc. The study of a remote and remote object was carried out by remote methods using aerial photographs in the Ile Alatau foothills at 1,600 meters above sea level. The obtained materials from the mudflow survey will be useful in developing solutions to mitigate the effects of disasters and in the design of measures for engineering protection from landslides.

This work considers the relevance of the use of virtual reality technology, and specifically virtual prototyping, in different areas of application. The main tasks, analyzed in the virtual collection of details solved with the help of a set of software and hardware for visualization. The use of virtual reality technology in the educational process allows you to increase the success and at the same time reduce the amount of errors and losses. The introduction of training programs through the use of virtual reality technology allows to improve the quality and reduce the period of training, which will be saved on the savings of funds spent on the training of specialists. Training programs can be used in the process of training specialists. As a result of the implementation of this stage of the study, the qualitative and quantitative requirements for the hardware-software complex of interactive educational programs are determined.