The information system being designed is a web application for assessing the environmental performance of the traffic flow, which uses a client-server architecture "client-server". The client side implements a web interface displayed using a web browser. The modeling of the processes of the subject area was performed and diagrams were developed: a context diagram "Calculation and assessment of environmental indicators of the traffic flow"; processes in IDEF0; a decomposition diagram of the process of calculating environmental indicators of the traffic flow. The main functional requirements are developed in the problem statement section. In the section selection of technologies and means of application implementation, the following are developed: an expanded list of functional requirements; basic non-functional requirements. The general requirements for the system are defined. The choice of technologies and means of application implementation has been made. Application usage scenarios have been designed. Developed: a diagram of application use cases; a diagram of the precedent sequence "Input of basic measurements"; a diagram of the precedent sequence "Calculation"; precedent sequence diagram "Environmental performance assessment"; precedent sequence diagram "Pollution statistics"; precedent sequence diagram "Registration"; precedent sequence diagram "User authorization"; infological database model; physical database model. The main stages of database and user application design are considered. The architecture of the software application is considered.
The paper is devoted to the development of a mathematical apparatus that makes it possible to form and adjust the academic schedule in universities. The object of research in this work is the process of scheduling academic classes in higher education institutions. The presence of rather strict restrictions (heavy workload of classrooms, teachers, the presence of several academic buildings, etc.) makes this process very time-consuming. Existing approaches and software tools do not fully meet all the limitations that exist in real practice. This makes the subject of this study relevant and practically significant. The subject of the research is models and methods of formalizing the task of forming and adjusting the schedule. The aim is to develop a mathematical model that makes it possible to describe an aggregated objective function and a set of soft and hard constraints both for the task of forming a schedule and for correcting it. The paper analyzes the specifics of the task of scheduling for educational institutions, suggests limitations that occur in real universities, and formulates criteria that allow teachers to take into account their preferences, as well as take into account the nuances of the educational process. As a result, a mathematical model is proposed that takes into account the hierarchical structure of educational units, a joint description of the tasks of forming and adjusting the schedule, as well as the use of a system of private quality criteria. The model provides the opportunity to formalize both hard and soft constraints, as well as minimize deviations from the original schedule when it is adjusted.
A new approach to radiation protection of MEMS devices in conditions of strict size requirements is proposed. This article solves the problem of the occurrence of thermal stresses caused by ionizing radiation from outer space. The thermomechanical behavior of a multilayer cover for protecting MEMS devices under high thermal loads has been numerically and analytically investigated. COMSOL Multiphysics modeling method has studied structures based on thin films of W, Mo, Ti, Si₃n₄, sio₂ on Si and SiC substrates. It is established that the main source of stress is the incompatibility of thermal deformations of the layers. The maximum stresses are localized in the upper metal layers and increase linearly with temperature. System parametric optimization has shown that the Young's modulus of the substrate affects the stresses more strongly than its KTLR. The introduction of an intermediate Mo layer and the optimization of the thicknesses of metal films (increasing the thickness of W and Mo, reducing the thickness of Ti) provided a twofold increase in the safety margin. The reliability of the structure can be increased by matching the properties of the substrate and the thicknesses of the layers without complicating the architecture. An analytical model with separation into membrane and flexural components is proposed for estimating thermoelastic stresses in multilayer MEMS structures in the temperature range of 300-500 K.
This paper addresses the systematic design of neural network architectures for tabular data processing under stringent resource constraints typical for embedded and edge systems. The work aims to develop a methodology that formalizes this task as a constrained multi-objective optimization problem within a discrete hyperparameter space, framing the synthesis process as decision support under uncertainty. A methodology for multi-criteria evolutionary synthesis is proposed, based on the Multi-Island Genetic Algorithm (MIGA), which integrates an island model of evolution to maintain population diversity and the NSGA-II selection mechanism to construct a Pareto front approximation. Conflicting optimization criteria include classification accuracy, memory footprint required for model storage, and inference latency. For the experimental validation of the methodology, three public tabular datasets representing different application scenarios and complexity levels were selected. A software framework with a three-tier architecture was developed and implemented, supporting the full cycle of automated design—from adaptive data analysis to results visualization. A comparative analysis with baseline methods (logistic regression, decision tree, gradient boosting) demonstrated that the proposed methodology can synthesize models that, with comparable accuracy, are orders of magnitude more compact and faster than gradient boosting models. In cases involving complex nonlinear dependencies with small sample sizes, the synthesized models statistically significantly outperform the baselines in accuracy. The results confirm the practical significance of the methodology for reducing design complexity and providing developers with a set of quantitatively justified trade-off solutions that comply with given hardware constraints.
Methods of forecasting the parameters of the functioning of the youth labor market are associated with the multidimensional choice of candidates for employment in accordance with the requirements of the employer. The tasks of forecasting the youth labor market are relevant in various practical applications, and attention should also be paid to the analysis of the regional labor market. One of the main parameters for the regional labor market is the demographic state in the region under study, the economic structure, static data, the effectiveness of the employment service and forecasts for the development of the regional labor market. This article examines the problem of labor market management and forecasting, especially the youth labor market. Mathematical methods and effective mechanisms for coordinating the regional labor market with the youth labor market have been developed to solve this problem. A systematic analysis of the use of mathematical models in solving this problem has been carried out. A model of causal relationships between the regional labor market and the youth labor market in making managerial decisions is proposed. The article defines approaches to the development of a regional information system for managing the process of labor market distribution for employers, and implements system modeling based on a structural-parametric model for the distribution of specialists in the youth labor market at the request of employers.
