Том 13, № 3 (2023)

The article discusses the assessment of innovative transport technologies for the separate collection of municipal solid waste (MSW). It was revealed that the processes associated with the separate collection and removal of municipal solid waste need to be implemented innovative solutions that will optimize these processes and significantly reduce costs. Therefore, a scheme was proposed with the introduction of a garbage truck with the possibility of separate collection of waste and the installation of sensors that monitor the filling of containers for collecting municipal solid waste.

Purpose. Development of an effective scheme for organizing the movement of garbage vehicles and optimization of transport processes for the separate collection of MSW through the introduction of innovative transport technologies.

Methodology in article economic-mathematical methods, and also statistical methods were used.

Results. The most informative parameters have been obtained, showing some features for identifying solutions that allow increasing the volume of the solid food waste collection process.

Practical implications it is expedient to apply the received results the economic subjects which are carrying out foreign economic activity, one of which elements are export operations.

When creating modern cars, in addition to analog and mechanical devices, digital technologies are also very widely used.

The article considers the process of software development for group unloading of text phrases into a database in the C# programming language and using Windows Presentation Framework, which is reasonable to apply to facilitate the tasks of developing car diagnostics procedures.

The goal is to development of software for group uploading of text phrases to a database in the C# programming language and using the Windows Presentation Framework (WPF).

The method or methodology of the work: the article discusses a project to develop a WPF application for group uploading of text phrases to a database.

Results: a program with a UI interface has been developed to automate the unloading of phrases into the database.

Scope of the results: the obtained results should be used to facilitate the tasks of developing car diagnostic procedures.

The movement of vehicles in the places of separation of traffic flows is analyzed. The high-speed mode of movement of vehicles along traffic lanes at a regulated intersection in the places of traffic flow separation has been determined. It is recorded that the number of formed “bundles” increases in the places of separation of transport flows. The movement of the formed “packs” of moving cars determines the speed mode of vehicles. The experiment showed that the speed of movement along the lanes is different. In a lane with a large number of formed “bundles”, the speed of cars is less than in a lane with a smaller number of “bundles”. It is established that the presence of “bundles”, especially in the areas of separation of traffic flows, leads to a large variation in the range of changes in the speed of vehicles at the intersection. The highest value of the speed mode of vehicles when driving on the experimental section is within 15-20 km/h, and the lowest is less than 5 km/h.

Purpose – determination of the factors influencing the change in the speed regime of vehicles in the places of separation of traffic flows.

Methodology statistical methods of processing a full-scale experiment were used in the work.

Results: the ranges of changes in the speed of vehicles in places where traffic flows are separated by lanes and the reasons for their changes are determined.

Practical implications: the obtained results should be used in the development of measures to ensure road safety in places of separation of traffic flows and the organization of traffic at intersections.

The main task of networks is to transport information from the sending computer to the receiving computer. In most cases, you need to make several transfers to do this. The problem of choosing a path is solved by routing algorithms. The routing algorithm must have well-defined properties: reliability, correctness, stability, simplicity and optimality. The latter property is not as transparent as it may seem at first glance, it all depends on which or which parameters are optimized. This task is sometimes not at all easy even for relatively simple local networks. Optimization parameters may include minimum delivery delay, maximum throughput, minimum price, maximum reliability, or minimum error probability. In this paper, reactive, proactive and hybrid routing protocols are considered. When making their choice, we relied on the method of hierarchy analysis. Based on the results obtained during the simulation of a network with video conference traffic, a matrix was constructed for each of the criteria studied. The protocols were compared in terms of the possibility of information loss. The results of the research can be useful in the course of building modern computer networks.

This work is devoted to solving the problem of signature recognition using neural networks. The authors proposed the use of convolutional neural networks to determine the signature class. Signatures play an important role in financial, commercial and legal transactions, their recognition guarantees the security of not only information, but the whole person. The use of neural networks for signature recognition allows you to reliably identify a user in an automated mode. The authors have developed a convolutional neural network, and also proposed an algorithm that consists of image preprocessing, including background segmentation, noise reduction, and image normalization. Image preprocessing improves the quality of the network. Next, feature extraction is performed, which consists of global features, such as the ratio of the height to width of the signature, the maximum horizontal histogram and the maximum vertical histogram, the horizontal center and the vertical center of the signature, the endpoints of the signature, the signature area, training a neural network with extracted features, recognition the owner of the handwritten signature and then predicting the class of the signature.

Purpose – development of a handwritten signature recognition algorithm using neural networks.

Methodology: the methods of computer vision were used in the work; deep learning methods, as well as object-oriented programming methods.

Results: developed a handwritten signature recognition algorithm using a neural network.

Practical implications: the application of the results obtained is useful in forensic analysis of documents, since a person uses a signature on a regular basis to sign checks, legal documents, contracts and other paper media that need protection. Therefore, when someone tries to copy a signature, a problem arises that can lead to undesirable consequences in the form of theft and further use of both personal data and other valuable secret information.

This article considers the process of optimizing the time and convenience of taking academic debts by creating a Telegram bot that automatically sends students notifications about debts and indicates the day when they can be passed. One of today’s popular platforms for deploying bots is the Telegram messenger. The peculiarity of a system implemented with the help of a bot is its ease of use and minimization of resources spent on software storage, which greatly simplifies interaction with the system.

Purpose – create a tool for passing academic debts, interaction with the database created in Google Table, interaction with the participants of the educational process online, which saves personal time of students and teachers.

Method or methodology of the work: the article deals with the method which implements the delivery of academic debts by creating Telegram bot. To implement it we use a database available to all teachers, updated in real time, created in Google Tables and the C# programming language.

Result: developed a unique tool that implements functions of adding, storing, interacting and 24/7 access to academic debts data.

Scope of the results: data on debts stored in the database and updated by teachers is useful for monitoring each student about his debts in educational institutions.

The article is devoted to the development of a method of functional diagnostics of cars with an electric power plant on stands with running drums. The necessity of carrying out functional diagnostics of cars with an electric power plant is analyzed. The reasons hindering the development and implementation of the bench method for monitoring the technical condition of cars with an electric power plant are considered. The article presents the results obtained by the authors in previous works. The developed mathematical models are presented, test modes for testing cars with an electric power plant on a stand with running drums are proposed. The results of analytical and experimental identification of interrelations between the parameters of the technical condition of a car with an electric power plant and the main parameters of its functioning are presented. The revealed patterns made it possible to develop a method of functional diagnostics of cars with an electric power plant based on the use of a diagnostic matrix. The developed method of functional diagnostics is implemented by measuring and then comparing with the normative values of the main parameters of the functioning of a car with an electric power plant when monitoring its technical condition on a stand with running drums. A control algorithm is proposed that allows implementing the developed method of functional diagnostics.

Purpose – development of a method of functional diagnostics of cars with an electric power plant on stands with running drums.

Methods or methodologies of research – a numerical method based on the finite-difference scheme of the Park method, using a special numerical-iterative method of composing equations of motion; full-scale experimental research.

Results – a method of functional diagnostics of cars with an electric power plant on stands with running drums has been developed, which, based on the revealed dependencies of the parameters characterizing the traction and dynamic properties of cars with electric power plants on the parameters of the technical condition of their units and systems, is carried out using the developed algorithm and diagnostic matrix allows quantitative control of the technical condition of cars with electric power installation, their power units and systems during the operation of cars with an electric power plant on stands with running drums and is implemented on the developed bench equipment.

Practical implications. The results obtained in the form of the developed method and the equipment implementing it are advisable to apply when monitoring the technical condition and diagnostics of cars with an electric power plant at service stations, testing at manufacturing plants.

Objective: to develop a mathematical model for calculating the normative, actual and deficit values in twenty–foot equivalent (hereinafter referred to as DFE) in a given container train (hereinafter referred to as KP), to formulate an algorithm for calculating DFE in KP.

Methods: calculations using the Excel software environment were used in the segment of calculating the occupancy rate of a container train in the TEU, the percentage of occupancy compared to the standard value of the TEU.

Research results: based on the results of the work, a methodology for calculating the DFE in the KP was formulated, a mathematical model for calculating the twenty-foot equivalent of a given container train was developed.

Practical significance: it has been revealed that a new element in the calculations of the container train parameter should be considered the automatic calculation of the values of DFE (normative, actual, deficit values) for the entire container train (and not on a separate platform car) with the display of such important parameters as the number of wagons in the composition, the total number of containers loaded on wagons. A step-by-step description of the processes of calculating the DFE of a given composition of KP is performed. As a result of the research, a software product for calculating KP occupancy rates is proposed.

The article is devoted to the study of the life cycle of railway transport services in freight transportation. The features of the service are describe as a type of product. A parametric model of the life cycle of providing services by rail is construct from the moment of loading goods into wagons at the departure station to the moment of unloading at the destination station. There are the comparison of the service life cycle and the turnover of the car. Other operational indicators, features of their calculation and interrelation are also analyze. It is propose to minimize the service life cycle by digitalizing the rationing of operational indicators. It is present the calculation algorithm using by digital methods. The elements of the program interface for calculating and rationing operational indicators are given. The life cycle of the service is comparable to the turnover of the car, but does not take into account the empty mileage of the car. Minimizing the life cycle of products is an important aim, because it will reduce costs, increase the competitiveness and attractiveness of rail transport for cargo owners. Digitalization of the process of calculating and rationing operational indicators can solve this problem.

Purpose. The purpose is to apply the product life cycle period to the railway transport service during freight transportation with the subsequent search for opportunities to improve the quality of services provided.

Methodology. The article used the analysis of the provision of transportation services from the standpoint of quality management, modeling, as well as the creation of an algorithm and a program for digitalization of a number of operations.

Results. The cargo transportation service is differentiate into stages of the life cycle period. It is present a parametric model. They are outline the ways of minimizing the life cycle, which will reduce costs, increase the competitiveness and attractiveness of railway transport for cargo owners. Digitalization of the stage of calculation and rationing of operational indicators can solve this problem

Practical implications. It is advisable to apply the results obtained in the railway transportation system, in the work of operators and transport and logistics companies, in the management of the car fleet.