The purpose of the research is to find ways to increase the efficiency of the nanosatellite constellation (network) in the conditions of replenishment and retirement of spacecraft during operation in orbit based on a self-organizing mesh network, in which routing is carried out dynamically based on the connectivity of network elements. Methods are based on decision-making techniques, systems analysis, and decentralized control principles, enabling a nanosatellite network to independently reconfigure itself to meet changing operating conditions and task requirements. Using the properties of self-organization and adaptive control methods (distribution and responsiveness to change), the nanosatellite constellation maintains a configuration of satellites capable of exchanging data and service information. A two-level network reconfiguration method has been developed, enabling proactive changes to the composition of nanosatellites based on historical assessments of the quality and strength of transmitted signals. Algorithms for route list generation and route analysis have been developed, which can be executed autonomously on each nanosatellite in the constellation. Results . The developed reconfiguration method enables asynchronous addition and deletion of satellites from the network based on received or discovered information about their status and connections between satellites. It is shown that the decentralized approach has linear time complexity for the most critical algorithms for updating and constructing network routes. Conclusion . The developed reconfiguration method and algorithms for managing a nanosatellite constellation form the basis for developing network software that allows each satellite to autonomously make decisions about modifying its status and route list.
Aeroengines and gas turbines are susceptible to uncertainties during manufacturing and operation, leading to reduced efficiency and dispersed performance. Current engine design system often produces deterministic performance databases that cannot be effectively used to guide the uncertainty analysis and robust design process of turbomachinery. This paper proposes an interpretable dynamic machine learning method for sensitivity analysis and robust optimization of turbomachinery blades. A dynamic extreme gradient boosting (XGBoost) is trained to predict fan aerodynamic performance, and the SHapley additional explanation (SHAP) method is introduced to explain regression model behavior and identify the impact of uncertain variables. On this basis, the Lipschitz-based trust region (MAXLIPO-TR) optimization algorithm is used to obtain the optimal configuration with the best robustness performance. Finally, the method is applied to data mining for design guidelines of robustness performance enhancement of an aeroengine fan. The results show that maximum camber and tangential stacking have major effects on fan performance dispersion. The standard deviation of the isentropic efficiency, pressure ratio and mass flow rate of the optimized configuration are reduced by 42.4%, 35.6% and 22.7% respectively at design conditions. The proposed data mining method has scientific significance and industrial application value in the robust design of advanced turbomachinery.
Thanks to the advent of modern digital technologies and advancements in the information and communications sector, there has been a significant increase in the capacity of information networks. This has led to a substantial improvement in the quality of services provided by telecommunications companies. Consequently, it has become imperative to introduce new, integrated business support systems and operational management solutions for these companies. The aim of this paper is to analyze the approaches and identify the key features of integrated computerized control systems for telecommunications companies, focusing on the examination of characteristics of computerized systems in telecommunications and the requirements for their integration, as well as exploring technical requirements for operational support and business process management. The key aspects of designing integrated computer systems with a structured control architecture are highlighted, and a mathematical formulation of the relevant issue is presented. A practical application of this design is a scenario for practical implementation based on the standard operating parameters of tier 2 operators. The simulation results indicate that the transition to a decentralized architecture with an intelligent orchestration layer can lead to a reduction in the time taken for services to become operational, as well as a decrease in errors and the need for manual intervention. This, in turn, can reduce service level agreements (SLAs) violations and lower operational costs for organizational management within telecommunications companies.By integrating computer systems into a managed structure, organizations can increase the efficiency and reliability of their management processes. This can also facilitate the faster introduction of new services and minimize risks associated with scaling and infrastructure complexity.
The task of determining optimal estimates of a flat’s structural element spatial orientation angles is considered. Its initial data are the measured coordinates of points on its surface. The known methods of solving are based on minimizing the quadratic function of the distances between the plane and the points. The reasons for the decrease in the accuracy of the plane parameters estimates in these techniques are analyzed. The necessity of taking into account additional constraints on them at solving the mentioned problem is justified. Three new approaches to finding estimates of the azimuthal and horizontal angles of the plane orientation are proposed
The possibility of using NV-defects in diamond at room temperature on nanometer spatial scales to measure magnetic fields was studied. For these purposes, samples with high concentrations of NV-centers are usually used, which increases the signal level but prevents the measurement of inhomogeneous fields on the scale of molecules or nanostructures. The parameters of a weak magnetic field were measured taking into account Earth's field by measuring the hyperfine structure of the optically detected magnetic resonance spectrum to calibrate and determine the resolution of a magnetic field sensor on a single NV-defect.
