The presented empirical study assesses the state of the cardiovascular system of Moscow schoolchildren living in different environmental conditions. 233 practically healthy schoolchildren (109 boys and 124 girls aged 11.4 to 12.6 years) took part in the comprehensive study of HRV and the state of adaptive processes when living in different ecological conditions of the capital megapolis. On the basis of different ecological and social conditions the schoolchildren were divided into 4 compared groups. The comparative analysis of the obtained HRV data of schoolchildren of different groups showed differences in the adaptation processes and in the indices of the wave activity of the sympathetic and parasympathetic departments of the ANS.

The paper presents an approach to the development of a distributed energy resources management platform based on the digital twin (DT). The platform employs advanced Industry 4.0 technologies to let users improve the power supply quality, reduce costs, and gain emerging market opportunities. The DT and the platform are designed with the viewpoint-based approach established by the systems engineering standard ISO/IEC/IEEE 42010. The typical power system DT architecture is described. The distributed energy domain ontology provides the unified semantic basis for interaction between heterogeneous models that constitute the DT. The DT-based platform architecture is represented from three key viewpoints: functional, information, and software. To formalize and ultimately automate the DT composition process, we propose novel mathematical methods based on category theory.

This paper presents the method for automatic recognition of defects in aircraft riveted joints. The proposed method consists of three steps: pre-processing, feature extraction and classification. Feature extraction was then performed using discrete wavelet transform. Classification was performed using deep neural network. An example of solving the problem of detecting and recognizing a defect in rivets is considered.

The conceptual tasks of modern digital-to-analog control of dynamic objects, for example, an unmanned aerial vehicle, are considered in order to ensure the stability of angular motion and increase accuracy. In the synthesis of the system, emphasis is placed on predicting the frequencies of the components of discrete feedbacks in combination with the control algorithm and analog devices.