This article discusses the possibility of changing the formulation of an anti-icing mixture directly in a combined road machine, by integrating data from road weather stations and modernizing a universal spreader. To quickly change the recipe of the distributed mixture, using the example of a sand-salt mixture, it is proposed to use a two-hopper universal spreader with an automated control system. The recipe for the distributed anti-icing mixture is calculated depending on weather conditions. An example of LabVIEW software is given to solve the local problem of finding a current weather station.

Keywords: automation, road machine, universal spreader, de-icing materials, composition selection, control system

With the development of technology, access systems with higher accuracy and levels of reliability have emerged. Access systems are a fascinating and important area of expertise, requiring knowledge from a wide range of disciplines such as information security, electronics, programming and systems administration. Therefore, its further development requires highly qualified specialists. In this regard, to involve the younger generation, educational programs and courses aimed at training and intellectual development of adolescents are appearing. To practically reinforce the acquired knowledge, various educational kits and open-source laboratory stands are used, on which students can try their hand and implement ideas. This project has prospects for further development for work not only in terrestrial laboratories, but also at orbital stations - this aspect is especially interesting for young explorers of the Universe. The goal of the work is to create a safe and convenient access system for users, providing a high level of security and ease of use.

Keywords: research, experiment, payload, space, remote control, self-determination, career guidance

This research paper presents a project to create a device for complex measurement of atmospheric parameters affecting the operation of a solar cell, based on the Arduino microcontroller. The purpose of the study is to develop a device capable of measuring illumination, temperature, humidity and wind speed to assess their impact on the efficiency of solar panels. The research paper describes the necessary components for assembling the device, such as a BH1750 light sensor, a DHT22 temperature and humidity sensor, a Grove anemometer and an LCD display. A diagram of how to connect the components to the Arduino Uno microcontroller is provided, as well as an example of software code for collecting and displaying data. The results of the study include an analysis of the collected data to calculate the efficiency of the solar cell under various atmospheric conditions. Methods for correcting the data taking into account temperature changes and the cooling effect of the wind are considered. In conclusion, the possibilities for further improvement of the device are discussed, including anemometer calibration, integration with Internet services for remote monitoring, and adding a data storage function. The developed device can be used to optimize the operation of solar panels, as well as in research and educational projects aimed at studying the influence of external factors on the performance of solar cells.

Keywords: arduino, solar cell, atmospheric measurement, atmospheric measurement device, solar radiation energy, atmospheric parameters sensors, automated measurement, meteorological data, renewable energy, solar radiation data

The possibility of detecting false positive cybersecurity incidents using deep learning models - GRU, Bidirectional LSTM (Bi-LSTM), LSTM - has been studied. The results obtained demonstrate the effectiveness of solving the problem for Powershell scripts. The Bi-LSTM model showed the best classification results, demonstrating an accuracy of 98.50% on the test sample.

Keywords: machine learning, classification, cybersecurity, deep learning, Powershell

The paper provides a comparative analysis of additive technologies in the field of formation of electromechanical designs of functional devices. In particular, the problem of using additive technologies, their relevance in relation to modern needs in different fields of science and technology is put, the essence of additive technological processes for the production of various kinds of products is revealed and a specific design and technological approach for creating a modular product on the basis of these technologies is defined.

Keywords: additive technologies, printed circuit board, 3D printing, fused deposition modeling , selective laser sintering, stereolithography, digital light processing, direct metal laser sintering, selective laser melting, direct ink writing

This article discusses the features of the use of neural network detectors in the tasks of recognizing protective helmets and helmets. Nowadays, workplace safety is becoming an increasingly relevant topic, especially in industries with a high level of injuries. There are accidents caused by violations of rules and regulations at work sites, among them cases related to non-compliance with the rules of wearing protective helmets. The article examines methods and algorithms for recognizing protective helmets and helmets, and assesses their effectiveness.

Keywords: convolutional neural network, object recognition, protective helmets. helmets, SSD, YOLOv5, Faster R-CNN, machine learning, deep learning, image classification

In this work, the developed system for detecting areas with defects in the development of corn crops was investigated from a photograph taken by an unmanned aerial vehicle (UAV) using computer vision. To solve the problem of detecting such sites, the structures of the YOLOv5 and YOLOv8 neural networks were considered. The use of the developed software will reduce labor and time costs for image analysis, which in turn will reduce the response time when problem areas are detected in agricultural fields to achieve higher yields.

Keywords: instance segmentation, YOLOv5, YOLOv8

Existing methods for determining the geometry of an enclosed space using echolocation assume the presence of a large amount of additional equipment (sound sources and receivers) in the room. This paper investigates a method for determining the geometry of enclosed spaces using sound location. The method does not assume the presence of a priori knowledge about the surrounding space. One sound source and one sound receiver were used to create and capture real impulse characteristics. A microphone was used as a sound receiver and a finger snap was used as a sound source to produce the impulse response. In this work, we used convolutional neural networks that were trained on a large dataset consisting of 48000 impulse responses and a number of room geometry parameters corresponding to them. The trained convolutional neural network was tested on the recorded impulse responses of a real room and showed accuracy ranging from 92.2 to 98.7% in estimating room size from various parameters.

Keywords: convolutional neural networks, room geometry, echolocation, impulse response, robotics, recognition, contactless methods of measuring objects, sonar, geometry prediction, virtual reality

This paper presents the concept of using fuzzy control methods in the construction of energy efficient systems based on photovoltaic modules. An analysis was made of methods to improve efficiency in the case of weather in Vietnam on a sunny summer day for photovoltaic modules. The results show that the efficiency of the proposed system is increased by 27.91%, 23.30% and 4.95% compared to the PV module, respectively, with a fixed tilt system, a water-cooled system, and a solar tracking system. The simulation results can serve as a prerequisite for future experimental models.

Keywords: Photovoltaic module, thermoelectric model, solar tracking, water cooling, efficiency, fuzzy logic

The paper describes the composition of a wireless sensor network for agricultural purposes, including a sensor node, an actuator node and a coordinator node. Based on the IEEE 802.15.4 standard, a hybrid network architecture with node synchronization via a time slot mechanism is proposed. The WSN model is proposed, which includes the forming functions of nodes, which makes it possible to abandon the matrix of energy characteristics and describe the elements of the network in a simplified form.

Keywords: wireless sensor network, sensor node, coordinator node, network structure, wireless node architecture, wireless network parameters, network model

The paper proposes a hybrid method of packet routing in a wireless sensor network based on a genetic algorithm that allows you to build a routing table taking into account restrictions on the maximum number of transmissions through each node of the network and, as a result, increase its energy efficiency. The results of experimental studies on BSS with a random configuration of nodes in space are presented and it is shown that the congestion of data packet relay nodes is reduced by 30-40% with an increase in the total length of routes by 10%.

Keywords: wireless sensor network, sensor node, coordinator node, network structure, packet routing, energy efficiency of a wireless network, network model

The aim of the work is to increase the productivity of the iron ore concentrate dehydration process. In the course of previous research, an automated system with individual control of each vacuum filter technological parameters was developed. In this paper, it is proposed to supplement this system of an extreme step regulator hybrid intelligent control unit. A structural and functional scheme and an algorithm for the functioning of the control system have also been developed. The implementation of the developed control system will improve the productivity of the vacuum filter, reduce the wear of the actuators, reduce the specific consumption of energy resources used, and save the financial resources of the enterprise. The proposed control system can be adapted for a large class of technological units of a similar principle of operation used in various industries.

Keywords: iron ore concentrate dehydration, disk vacuum filter, artificial neural network, fuzzy neural network, automated control system, individual regulation, extreme regulator, vacuum, pulp density, vacuum filter productivity sludge moisture

Tests to determine the seismic stability of elements of pipeline systems, in particular pipeline fittings, are included in the list of those necessary to confirm the operability of the element. In this study, a stand was developed for testing to determine the seismic stability of butterfly check valves, which are a type of pipeline fittings. A finite element analysis was carried out, data on maximum deformations, stresses and displacements of structural elements were obtained, and the response of the installation table to seismic impact was calculated. The resulting displacement values of the table structure do not exceed the limit values specified by the technical requirements and do not lead to distortion of the structure or destruction of joints, which makes it possible to move from design to manufacturing and commissioning of the stand.

Keywords: vibration tests, seismic resistance test bench, pipeline, pipeline valves, swing back gate, mathematical modeling, finite element method, strength calculation, simulation modeling, stress-strain state

In this experiment, a solver (NEAT) and a simulator (an inverted pendulum cart object) are implemented, where the solver will influence the object in order to keep it in a stable state, i.e. don't let the pendulum fall. The main objective of the experiment is to study the possibility of implementing a simulator of a real physical object and use it to determine the target function of the neuroevolutionary algorithm NEAT. Solving this problem will make it possible to implement controllers based on the NEAT algorithm, capable of controlling real physical objects.

Keywords: machine learning, non-revolutionary algorithms, genetic algorithms, neural networks

This article discusses the theoretical and practical aspects of controlling a frequency converter through a programmable logic controller, and also analyzes the main methods and technologies used in analyzing the operating time of a controlled asynchronous motor. The possibility of organizing remote and multiple control of several frequency converters from one PLC (programmable logic controller) in large production areas is considered. If complex control with the exchange of large amounts of data, diagnostics and monitoring of drive operation in real time has been analyzed, it is preferable to use the RS-485 interface, which allows integration with more complex automation systems that require software control of various parameters.

Keywords: industrial controllers, frequency converter, analog control

The advantages of simulation models are presented. A computer simulation model of an automated warehouse is considered and a solution to the model optimization problem of warehouse management is given. The model is implemented in the AnyLogic system using multi-agent modeling tools. These models can be used for clustering.

Keywords: modeling, simulation, digital twin, inventory management, AnyLogic, clustering

Multi motor electric drives are the systems, in which the torques from two or more motors are summarized. This summarisation may be done direct on common output shaft of indirect, for example, on the common load through individual transmiisions. In such a systems the problem of common torque distribution among motors exists. Usually this problem is being solved by equal distribution of torques among motors. There are some ways to achieve equal torques. One of them is overlaping of mechanical characteristics of motors by influencing separatly to the hardness and the speed of mechanical charecteristic of motor.

Keywords: multimotor drive, load equalization, automatic control, mechanical characteristic, mathematical description of load distribution, load distribution observing

In the context of stable demand for consumer electronics, current methods of automated software testing in production often prove to be inefficient, leading to an increase in software errors. This paper examines an enhanced method of automated testing using Remote Procedure Call (RPC) and cloud technologies. The main objective of the research is to create a universal and effective system for automated software testing, capable of scaling and adapting to various platforms and libraries. The results of the experiment confirmed the possibility of integrating the described method with existing testing systems without significant modifications, ensuring a higher efficiency of the testing process and a reduction in its duration.

Keywords: automated testing, consumer electronics devices, consumer electronics, software, remote procedure call, software quality, software testing, cloud devices, software production, testing task manager

The choice of equipment of technological enterprises, especially when the characteristics of the equipment are close in values, remains an urgent task. In our work, to evaluate the effectiveness of programmable logic controllers (PLCs), a comprehensive criterion for evaluating efficiency is proposed, as well as a method for calculating it using numerical methods. To calculate the complex efficiency criterion, the values of the significant characteristics of the controllers selected by us are converted into points on a linear scale. To refine the calculation results, we applied one of the Newton-Cotes numerical methods, namely the trapezoid method. Next, we used the method of cubic interpolation of the obtained curves to increase the accuracy of calculations. The proposed method is simple and does not require a lot of calculations. At the same time, its application makes it possible to calculate complex PLC efficiency criteria based on characteristics relevant to a particular control process.

Keywords: programmable logic controller, characteristics, numerical methods, trapezoid method, cubic interpolation method, aggregation of characteristics, ABAK PLC, Siemens PLC, OWEN PLC

The quality of asphalt concrete mixture at the output of an asphalt concrete plant is unstable due to disturbances that we cannot control or control with significant delay. Disturbances may include factors such as inaccuracies in the existing relationships between the properties of asphalt concrete mixture components and the parameters of the technological process with the quality of the finished product. Disturbances can also be attributed to our lack of knowledge about the relationships between individual indicators and the quality of the mixture. Forecasting these disturbances to determine the actual quality at the output becomes a key task. Previously, determining the optimal length of data series for forecasting was a challenging task. Nowadays, with the use of modern technologies, this problem has been successfully solved. In this article, the authors propose an adaptive forecasting method to determine the optimal length of data series. The research results include forecasting error values with and without adaptation. The adaptive forecasting method demonstrated smaller values of mean absolute error (MAE) compared to the non-adaptive forecasting method (where the length of the time series is always equal to 100). This allows for more efficient and accurate prediction of cumulative disturbances, which is critically important for ensuring high and stable quality of asphalt concrete mixture.

Keywords: asphalt concrete, asphalt concrete mixture, disturbance, control system, autoregressive model, forecasting, adaptive forecasting method, optimal length of series, forecast accuracy, mean absolute error

The article presents the prerequisites for the relevance of the processing and disposal of galvanic sludge generated from industrial enterprises, which in turn occupies numerous areas of land for storage, which harms the environment. An overview of the methods of processing and disposal of electroplating waste, including physical, chemical and biological processes. Experimental studies of galvanic sludge sediment are presented. The precipitate is a mixture of crystalline CaCO3, SiO2 and an amorphous phase, which is not determined by phase analysis. Modern advanced technologies for the processing and disposal of galvanic sludge are presented.

Keywords: galvanic sludge waste, automation, control, methods, sediment thermogram

The reconfigurable systems-on-a-chip (RSoC) includes hard and soft intellectual property cores (IP-cores). Hard IP-cores are placed on the specified positions on the chip and have a predetermined functionality. Soft IP-cores are developed using the logical blocks (LB) of a field programmable gate array (FPGA) on the RSoC. Both types of IP-cores have different features. Hard IP-cores have configurations that can be programmed. Soft IP-cores use the base RSoC specialized resources. All IP-cores features must be considered at various stages of the design flow of user circuits based on the RSoC. Any modes of the RSoC IP-cores should be extracted from the functional description of the user circuit during logical synthesis. The features of the base chip architecture and specialized routing resources must be considered during placement and routing. In this paper, a software-oriented set-theoretic model of IP-cores is presented. The model makes it possible to represent IP-cores in computer-aided design (CAD) system at different stages of design flow of user circuit based on RSoC and to map architecture-independent IP-cores of a user circuit to IP-cores on the base chip. The model combines formalized representations of the base chip components, architecture-independent and architecture-dependent parameterized IP-cores for the logical synthesis, as well as IP-cores for the layout synthesis. Also, the model has several distinctive features. The first feature is the availability of the relative coordinates of the soft IP-cores elements. These coordinates allow to take into account the RSoC architectural features at the placement stage. The second feature is that an information about specialized routing resources and interconnections of the user and base circuits. This information allows to establish a correspondence between IP-core and RSoC connections regardless of the routing resources type.

Keywords: reconfigurable system-on-a-chip, intellectual property core, field programmable gate array, computer-aided design system, set-theoretic model, formalization

In this work, an experimental model of a circuit diagram with pulsating circulation of a liquid coolant in a heated circuit of a plate heat exchanger was assembled and tested. As a result of hydraulic and energy calculations of the circuit, the optimal parameters for flow, pressure, and temperature of the coolant were selected at maximum efficiency of the impact unit. It has been established that with an increase in the operating frequency of the impact unit, the heat transfer coefficient of the heat exchanger first decreases and reaches a minimum of 452.47 W/(m2*0C) at a frequency of 0.5 Hz, and then begins to increase and reaches a maximum of 482.31 W/(m2* 0C) at a frequency of 2 Hz, after which it gradually decreases. It has also been experimentally established that the temperature at the outlet of the heat exchanger of the heated circuit increases with increasing frequency of the shock unit and reaches a maximum at a frequency of 2 Hz, after which it begins to gradually decrease. It has been established that the change in temperature at the outlet of the heat exchanger of the heated circuit exceeds the change in temperature at the outlet of the heat exchanger of the heating circuit at operating frequencies above 1 Hz, which is due to the stronger influence of cavitation at these frequencies.

Keywords: heat exchanger, heat transfer coefficient, impact unit, frequency, heat transfer

This scientific article examines the application of artificial intelligence and machine learning in the textile industry with an emphasis on the automation of the design of weaving weaves. The article discusses research and approaches using neural networks, genetic algorithms, deep learning methods and computer vision to create, optimize and analyze weaves. The main attention is paid to the comparison of existing software solutions that allow automating the design process and significantly improving its productivity, accuracy and quality. The importance of integrating AI and machine learning into the textile industry is emphasized, as this opens up new opportunities for automating processes, improving product quality and increasing the competitiveness of the textile industry at the global level.

Keywords: automation, modern systems, design technologies, computer-aided design, information systems, software, fabric drawings, computer-aided design of weaving patterns, innovations in the textile industry, process optimization, digitalization

The work is aimed at modeling the control system of a slitting machine of a paper machine in order to improve the quality of products and eliminate defects in winding density. The developed automated system implements the functions of controlling the operating modes of the machine, distributing the loads of the bearing shafts, braking the roll and tensioning the paper web.

Keywords: slitting machine, paper machine, automated control system, rewinder, pressure roller, decoiler, reeler, accelerating shaft, deflecting shaft, cutting section