Fuel efficiency of dump trucks is affected by real world variables such as vehicle parameters, road conditions, weather parameters, and driver behavior. Predicting fuel consumption per trip using dynamic road condition data can effectively reduce the cost and time associated with on-road testing. This paper proposes new models for predicting fuel consumption of dump trucks in surface mining operations. The models combine locally collected data from dump truck sensors and analyze it to enhance their capabilities. The architectural design consists of two distinct parts, initially based on dual Long-term Short-Term Memories (LSTMs) and dual dense layers of Deep Neural Networks (DNNs). The new hybrid architecture improves the performance of the proposed model compared to other models, especially in terms of accuracy measurement. The MAE, RMSE, MSE and R2 scores indicate high prediction accuracy.

Keywords: LSTM algorithm, DNN, density, prediction, fuel consumption, quarries

The article describes a way to optimize the trajectory optimization process by replacing the edges of the trajectory with spatial Bezier curves with a Pythagorean hodograph.

Keywords: Algorithms for generating trajectories, methods for constructing the formation of UAV groups, mathematical models of UAVs, multi-agent systems, Bezier curves, Pythagorean hodograph

This paper examines the impact of regulations on cultural heritage protection zones on the cost of land plots intended for hotel accommodation. The application of the theory of fuzzy sets to assess the influence of cultural heritage objects on the value of commercial land plots is substantiated. The result of the study is a methodology for estimating the share of the value of a commercial land plot attributable to the presence of a cultural heritage protection zone, based on the methodology for determining easement fees and the theory of fuzzy sets.

Keywords: hotel, historical and cultural monument, phasification, market value, cadastral value, type of permitted use, term-set, restrictions of use, adaptation, sustainable development

The paper considers the opportunities and obstacles to the integration of renewable energy sources (RES) in megacities on the example of Moscow. The paper analyzes the applied RES-based generation technologies, taking into account their applicability in large cities. Special attention was paid to the conversion of unused historical dams into small hydroelectric power plants (SHPP) as an integration of RES in megacities. Based on the results of the technical and economic analysis, it was found that the conversion of an unused dam on the Yauza River into a SHPP is justified.

Keywords: small hydropower, unused dam, megacity, renewable energy integration

One of the actual problems in the field of analysing loads and impacts on bearing structures is their identification. It means the point of application, the type of action and its intensity in cases where there is an impact result, but the parameters that caused this result are not determined. For example, it is an accident action, as a result of which the structure is deformed and collapsed. The solution of such problems arises when analysing accidents on load-bearing structures in construction, as well as when monitoring the deformed state of structures in time. The paper proposes to use the principles of neural network modelling to solve the problem of identifying the impact in the form of a concentrated force on the example of beam systems. The values of linear and angular nodal displacements at some action are considered as input data to neurons. As an example, the linearly deformable beam of constant stiffness is considered, the material of which is a continuous isotropic medium.

Keywords: neural network, deflections, load-bearing structure, displacement, deformation, identification

The oil and gas engineering industry is undergoing changes that are associated with the introduction of innovative technologies, methods and tools to improve production processes and systems. All changes make it possible to achieve an increase in the average resource, durability and profit of the enterprise as a whole. Processing parts of the oil and gas complex and reducing all types of wear on the cutting part of the tool currently remains the most pressing topic. The continuous operation of a cutting tool is influenced by many factors. The relationship between cutting speed and tool life allows you to select the optimal speed. The work identifies the main directions of research on the selection of wear-resistant coatings for cutters to improve the accuracy of metalworking. The research was carried out using modern computer programs, which made it possible to draw certain conclusions, derive dependencies and determine the range of tasks for further research. Application of the main results will improve the processing efficiency and surface quality of parts in the oil and gas sector.

Keywords: durability, cutting mode, cutter, optimization, experiment, methodology, accuracy, processing, coatings, deformation

The uniqueness of restoration projects requires a transition from traditional to modern approaches. Building Information Modeling (BIM) is considered one of the most reliable approaches in construction, but after a review of domestic and foreign studies, it turned out that there are no studies on the use of BIM in organizing the restoration process of war-torn territories. The article discusses the application of BIM and visual programming (Dynamo) at all stages of restoration projects. In addition, the article presents a way to automatically create calendar plans using the program (MS project) and a way to automatically create 4D, 5D models using the program (Navisworks). The article also explains how recovery models can be used in the execution tracking process.

Keywords: building information modeling, visual programming, post-conflict recovery, scheduling automation, 4D

The publication discusses the definition of a shared data environment. The main criteria for choosing SOD are put forward. A generalized analysis of the weaknesses of all existing ODS systems is provided. The article will help you better understand ODS and make the right choice of system.

Keywords: general data environment, design, construction, information, information modeling, ODS, criteria, management, information organization, information transfer

The article discusses the equipment for a single-seam excavator for removing single stumps and the technology of work with its use. A modernized design of this equipment is proposed, an analysis of the modified technology of uprooting is performed, recommendations on the use of the proposed equipment are given based on the results of the comparison.

Keywords: technology of uprooting, single stump, direction of stump extraction, moment of uprooting of trees

The safety of hazardous production facilities is directly related to the reliable operation of pipeline systems, as a failure occurring in the elements of such systems can lead to serious consequences for production facilities and the environment. Since the greatest number of failures is associated with faults caused by corrosion, to increase reliability it is necessary to increase the corrosion resistance of metal of pipeline elements. The article gives an overview of materials for manufacturing parts, the influence of different climatic conditions on the mechanical properties of steels. The developed rotary gate designed for automatic prevention of reverse flow of working medium is also presented. To confirm the serviceability of the design, strength calculation of the structure was carried out, where its stress-strain state under the given loading conditions is considered. As a result, the values of maximum equivalent stresses, maximum deformations and displacements were obtained, which are lower than the maximum permissible ones.

Keywords: pipeline system, pipeline, shut-off valves, swing back gate, mathematical modelling, finite element method

This article is devoted to solving the problem of research and detection of malware. The method implemented in the work allows you to dynamically detect malware for Android using system call graphs using graph neural networks. The objective of this work is to create a computer model for a method designed to detect and investigate malware. Research on this topic is important in mathematical and software modeling, as well as in the application of system call control algorithms on Android devices. The originality of this direction lies in the constant improvement of approaches in the fight against malware, as well as limited information on the use of computer simulation to study such phenomena and features in the world.

Keywords: system calls, android, virus, malware, neural networks, artificial intelligence, fuzzy logic

A review of studies of photovoltaic chromatic devices for regulating the transparency of glass and simultaneous generation of electrical energy through an internal photoelectric effect is given. Devices based on thin-film heterostructures with kesterite as a photocell are considered in detail. Kesterite is an absorbing material consisting of copper, tin, zinc, sulfur and selenium, a new promising material for creating "smart" glazing with adjustable transparency. The energy characteristics of coatings based on kesterite are compared with coatings of other types. The prospects of kesterite as a basis for creating effective autonomous photovoltaic windows of adjustable transparency are shown.

Keywords: photoelectric effect, transparency, glass, kesterite, perovskite, silicon, window, energy efficiency, electrochromic effect

A new building structure is proposed - a welded steel I-beam with a prestressed perforated wall. The prestress in the beam is created by stretching the web and subsequent welding with chords. Before prestressing, holes are cut in the wall. Using the LIRA-SAPR software package, a model is proposed that can be used to study the operation of a prestressed perforated beam (PNPB) structure. The influence of various forms of voids in the wall on the change in the stress-strain state of steel I-beams prestressed by the wall drawing is studied. A preliminary assessment was made of the favorable effect of prestressing in a conventional perforated beam on the stress-strain state of beams with different forms of perforations in the web.

Keywords: steel structures, prestressing, numerical experiment, normal and shear stresses, bearing capacity

This article discusses the issue of the features of measuring and predicting changes in the surface electric field strength in the atmosphere. The results of measurements of the atmospheric electric field strength are presented. The possibilities of forecasting changes in the surface electric field strength, including the use of numerical models, as well as the use of measurement results as an indicator of dangerous weather phenomena, are considered. The prospects of using the prediction of variations in the surface electric field intensity to predict adverse weather events and the importance of monitoring the intensity of the atmospheric electric field for understanding global climate change processes and the impact of the electric field on human health and the environment are discussed. For the research, a model was created that allows predicting electric field variations based on meteorological data. The developed neural network has shown good results. It is demonstrated that the use of neural networks can be an effective approach for predicting the parameters of the electric field of the surface layer of the atmosphere. In further research, it is planned to expand the measurement area by including additional parameters such as temperature, pressure and humidity in the analysis, as well as using more complex machine learning models to improve the accuracy of forecasts. In general, the results show that machine learning models can be effective in predicting variations of the electric field in the surface layer of the atmosphere. This can have practical applications in various fields such as aeronautics, meteorology, geology and others. Further research in this area contributes to the development of new methods and technologies in the field of electric power and communications and to improving our knowledge about the nature of the impact of atmospheric electrophysical phenomena on the environment and human health.

Keywords: electric field, surface layer of the atmosphere, measurements, methods, forecasting, modeling of variations in field strength

The dynamic model of personnel management in a real estate agency is investigated. The structure of the management system includes a real estate company as a Leader and a realtor as a Slave. The relations between them are built on the basis of a hierarchy corresponding to the information regulations of the Stackelberg games. Motivation is used as a method of hierarchical management. Algorithms for achieving equilibrium in different information regulations are presented. The numerical implementation of these algorithms is based on simulation modeling, the results are analyzed.

Keywords: real estate company, hierarchy, simulation, stackelberg's game, stackelberg's game with feedback, motivation, leader, slave, dynamic system