Problems of Informatization and Management

System of controlling the calibration of the coordinate measuring machine

2024-01-17T04:52:40+02:00

The scientific article solves important scientific and technological problems of increasing the efficiency of the use of coordinate measuring machines and ensuring measurement accuracy. In the course of the work, a mathematical model of the system was presented, which makes it possible to assess the accuracy of contact measurements of complex curved surfaces by coordinate measuring machines and to determine evaluations of measurement results based on uncertainty. It has been shown that the actual measurement error can be much larger than the certified measurement error due to uncertainties.

The concept of building a hardware and software complex of UAV detection using artificial intelligence

2024-01-17T04:44:45+02:00

The current state of affairs dictates the development of various developments and innovations in the field of information technology, which can have a dual purpose and be used both in peacetime and in wartime. The short list of projects in the direction of the rearmament of the armed of the Armed Forces of Ukraine testifies to intensive activity in the search for realistic, simple and economic solutions that will enable the Defense Forces of Ukraine to win the confrontation in a short period of time. Along with the positive reviews of foreign military experts regarding the development and application of technologies aimed at the defense capability of the state, there are a number of practical directions that require urgent solutions. One of these directions is the fight against the enemy's UAVs, which he actively uses to solve various tasks. The paper proposes the concept of building a UAV detection hardware and software complex using artificial intelligence in general and considers the possibility of further development of the proposed concept.

Forecasting prices of financial instruments using deep learning methods

2024-01-17T04:38:21+02:00

This study is devoted to the problem of forecasting financial instruments’ prices on the stock market, the relevance of which has increased significantly in the modern world, and which is an important component of the processes of conducting financial activities and making informed investment decisions. A review and comparative analysis of the methods proposed in the existing studies was conducted, their shortcomings and shortcomings were revealed. Based on this, a new approach to solving this problem was proposed. The proposed approach is based on taking into account a complex set of factors for forecasting, including technical indicators, fundamental analysis data and macroeconomic factors, the use of a systematic approach to the selection of predictors (factors) for forecasting and inclusion in the model, the introduction of modern feature engineering and feature selection techniques, noise removal in input data, applying NLP techniques and sentiment analysis to integrate textual data that influence market trends, thus increasing the accuracy of modeling market processes. These principles were incorporated with machine and deep learning techniques capable of taking into account time sequences of data and complex relationships and dependencies between them, and a predictive model was built for forecasting stock prices. The results of model testing and evaluation of obtained performance accuracy metrics’ values for the developed model show it’s higher accuracy in comparison with the base model chosen for comparison, and also prove the effectiveness of using the proposed approach.

Method for cryptographically strict identification of remote abonents based on pseudorandom sequences generators

2024-01-17T04:27:47+02:00

The article proposes a method for cryptographically strong remote abonents identification, which is based on the irreversibility properties of cryptographic generators of pseudo-random sequences. This made it possible to integrate, within a single technological solution, a cryptographically strong user identification before a session, permanent mutual authentication during a session, and also provide the possibility of streaming encryption of data exchange between the user and the system. It is shown that the use of the proposed method allows to reduce the identification time and increase the security against middle attacks.

Method of modular exponent secure distributed computation for accelerated implementation of data protection mechanisms in IoT

2024-01-17T04:15:51+02:00

The article proposes a method of secure modular exponentiation on IoT terminal platforms involving cloud computing for fast implementation of public key cryptographic protection algorithms. The method implements a new principle of distribution of calculations between the terminal and remote platforms when implementing modular exponentiation - at the level of processing each individual bit of the exponent code. This makes it possible to reduce the computing load on the terminal platform by three times and, accordingly, to speed up the calculation of the basic operation of public key cryptography by three times compared to the known methods of distributed calculation of the modular exponent.

The method of monitoring forest ecosystem state using drones to detect fire based on video data

2024-01-17T04:10:52+02:00

Drones, as innovative tools, have found widespread applications across various sectors, including media, the military, agriculture, security, and scientific research. However, considering the escalating environmental issues, there arises a necessity for new technological approaches.

The current scientific trend focuses on developing a monitoring system for forest ecosystems using drones to respond to potential wildfires. This initiative involves deploying drones for aerial reconnaissance over forested areas and analyzing the captured video data to identify potential sources of ignition.

This endeavor represents a proactive use of drones in environmental monitoring, enhancing our ability to detect and respond to potential forest fires.

Recognition of fake news using natural language processing and a low-power architecture for edge computing

2024-01-17T04:04:19+02:00

The research focuses on enhancing the method of fake news detection based on natural language processing (NLP) utilising low-power edge computing architecture through attention mechanisms and contextual analysis. An attention mechanism and contextual analysis are implemented to detect linguistic signs of credibility and stylistic differences between fake and real news. This approach aims to enable news verification on peripheral devices with limited computational resources without compromising speed.

Experimental studies validate the efficiency of the proposed method in identifying anomalies in text frequency and credibility markers. Fake news is identified by the higher use of emotionally charged words, probative statements and profanity compared to real news.

The integration of attention mechanisms and contextual analysis showcases a notable improvement in identifying linguistic anomalies typical of fake news, achieving a classification accuracy of 81%. The findings contribute to combating misinformation by leveraging linguistic nuances and signify potential advancements in news veracity assessment on resource-constrained devices.

Method of multiprocessor modular multiplication with using Montgomery group reduction

2024-01-17T03:15:15+02:00

The article proposes a method of accelerating the operation of modular multiplication important for cryptographic applications due to its implementation in the form of m autonomous computational processes. The technology of allocation the multiplier into components and the procedure for performing partial modular multiplications using Montgomery group reduction based on precalculations have been developed in detail. The statement is illustrated by a numerical example. The choice of parameters of the organization of calculations that provides the greatest effect of parallelization of modular multiplication is theoretically substantiated. It is proved that due to the parallelization of multiplications and the group reduction of Montgomery, the calculation of the modular product is accelerated by 0.75×m-0.93×m times.

Tuning of PID-controller by genetic algorithm according to multi-criteria objective function for controlling an unstable object

2024-01-17T03:07:17+02:00

The task of adjusting an industrial-type regulator, namely a PID regulator, which has several parameters, namely the coefficients of proportional, integral, and differential links, is considered. In this study, the PID controller is used to control an unstable object with nonlinear dynamics. The task is to track the input signal with minimal overshoot, error, and settling time. At the same time, the problem of the optimal setting of a multi-parameter object to satisfy a multi-criteria objective function arises. Classical approaches to the optimization of several variable functions are faced with the need to find partial derivatives for each variable. At the same time, there are effective heuristic solutions that are based on a genetic algorithm, which creates an initial population, which is then updated by saving the best descendants and searching for new possible options. The article examines such an algorithm for stabilizing an unstable object whose characteristic equation has multiple zero roots. The paper presents the parameters of the algorithm and the results of modeling using modern techniques for modeling automatic control systems in phase space.

The method of measuring the rotary moment of electrode-hun using methods of machine vision

2024-01-17T02:55:02+02:00

This article presents a new approach to measuring the torque of electric motors using machine vision technologies. The main goal of this study is to develop a measurement method that minimizes interference with the operation of the electric motor. It has been studied how image processing and data analysis algorithms are used to interpret visual information obtained from the rotating elements of the engine. In the theoretical part of the article, the principles of machine vision are considered, as well as the existing methods of torque measurement are analyzed, indicating their limitations and potential areas for improvement. The scientific contribution of the work consists in the use of combined methods of image processing and analytical algorithms to determine the rotation parameters. The experimental part includes the development of modeling of the dependence of the torsion angle of the dynamometric coupling and the change of the visual parameter, which is determined by optical means, using machine vision.

Problems of multi-criteria synthesis of complex technical systems and methods of their solution

2024-01-17T02:44:15+02:00

The article examines the main problematic issues and methods of solving the problem of multi-criteria parametric synthesis of complex technical systems during scientific and technical research at the initial stages of their development. As complex technical systems, systems related to rocket and space technology are considered.

The development of complex aviation systems today, in the conditions of the limitation of financial and production resources, necessitates the in-depth study of a number of scientific and technical problems, which largely depend on the tactical and technical characteristics of the system and the success of its application. The selection of tactical and technical characteristics of the system and their further optimization is the task of multi-criteria parametric synthesis.

The article deals with the general formulation of the multi-criteria optimization problem, justification and recommendations regarding the most preferable option for building a complex system. The following problematic issues of vector optimization are considered: normalization of criteria; taking into account the priority of criteria; highlighting the area of compromises; choosing a scheme of compromises and a single solution. In addition, another problem when solving vector optimization problems is the choice of instrumental and methodical means for conducting scientific and applied research, engineering works.

In order to solve these problematic issues, the article considers special methods and algorithms of multi-criteria parametric synthesis and mathematical modeling regarding the selection of the optimal system construction option. These methods make it possible to evaluate alternative options for building a system, justify and give recommendations regarding the most preferable option. Currently, there are a large number of methods and software products that provide wide opportunities for solving the problem of vector optimization and conducting various types of data analysis. For example, the most acceptable and effective are SPSS, PS PRIAM, STATISTICA, ProSto, as well as the use of a large number of existing and newly created modules based on the integrated Microsoft Office package.

Model of ontological-relational data storage for the functioning of a cloud SIEM system

2024-01-17T02:18:47+02:00

Information security event management systems (SIEM) are widely used to prevent information loss in computer systems and networks. Currently, there are different approaches to creating data storages (databases) for SIEM systems. The analysis has not revealed a universal type of database, and each of them has its own advantages and disadvantages. This paper is aimed at studying the known types of databases and their management systems that can be useful for implementing your own data storage model in modern SIEM. The paper offers a comparative characterization of their capabilities, as well as advantages and disadvantages. In addition, the paper develops a model of an ontological-relational data warehouse, which, by using two different databases with appropriate characteristics, allows to improve the convenience of storing and classifying data, to ensure high speed of obtaining large amounts of information due to preliminary indexing, as well as load balancing and data replication

Robust LeGNSS positioning subsystem for UAV with correction and optimal filtering

2024-01-17T02:12:37+02:00

The integration of LEO satellites with GNSS/INS into a robust LeGNSS positioning subsystem for Unmanned Aerial Vehicles (UAVs) addresses the limitations of traditional GNSS and INS systems. The proposed LeGNSS integrates low-earth orbit (LEO) satellite data with GNSS and MEMS-based inertial systems to enhance UAV positioning accuracy, reliability, and fault tolerance. It aims to overcome challenges like signal degradation and sensor errors through advanced correction and optimal filtering techniques. The paper utilizes Matlab simulations to analyse UAV positioning, considering dynamic environmental factors like wind. It emphasizes the integration of GNSS and INS systems to improve position estimation, highlighting the need for sophisticated filtering and error management. The study demonstrates improved positioning accuracy with the LeGNSS subsystem compared to traditional methods and suggests its application in various sectors employing unmanned aircraft. The research enhances UAV positioning technology and improves safety and operational efficiency.

Assessment of students' knowledge in virtual reality environments

2024-01-17T01:48:05+02:00

The article discusses the problem of studying the interaction of a person and a computer, in particular, the study and assessment of students' activities in the study of textual material. It is proposed to use the psychophysical characteristics of the user, including the characteristics of receiving, processing and storing information in a person's memory. The Saaty scale is used to assess user behavior.

Optimization of air traffic control network structures in the presence of energy constraints

2023-11-26T01:30:50+02:00

The article examines the problems of information and telecommunication systems of air transport, which, on the one hand, are hard real-time systems, and, on the other hand, critical application systems. Based on the results of the analysis of promising information and communication and computer networks of critical application, it was found that the main problems for networks are their vulnerability to external interference of various origins, which worsens QoS indicators, in particular, performance. The process of analyzing energy and information characteristics of wireless networks of critical application is considered. The main criteria for assessing the quality of functioning of computerized air traffic control systems have been introduced and substantiated. The multidimensional functionality of the efficiency of the information-computing and control computer network - such a critical application system as the air traffic control system and the information-communication network of the air hub – has been determined. In order to constantly monitor network characteristics at the proper level, a method of calculating the current signal/(interference plus noise) ratio has been developed. According to the results of the analysis of the energy and information characteristics of the network, their relationship is established, which is not always obvious, but very indicative and useful, for example, for solving the tasks of multi-criteria parameter optimization and network state management. The solution to the problem of multi-criteria optimization is achieved due to the scalar approach to vector optimization through the method of analysis of Saati hierarchies. The stability of the solution is ensured by inserting random components into the priority matrix.

Development of a database for storing atmospheric air quality indicators from the research stations of a utility company

2023-11-26T00:45:54+02:00

Today, the problem of air pollution is acute, especially in Ukraine, where significant changes in the environmental situation are taking place as a result of the war. These changes have led to the need to relocate production facilities and the population, which has increased the burden on organisations involved in environmental research. In Kremenchuk, the tasks of studying the state of environmental components are performed by a municipal enterprise of the city council, which has the appropriate technical equipment.

In order to conduct detailed studies of the current ecological state of the atmospheric air within the Kremenchuk region and other research areas, to accumulate knowledge about trends in measured air pollution indicators and to predict future environmental changes, it is important to create a comprehensive database for automatic storage of readings from research posts and stations.

This study analyses database models and database management systems in order to select the optimal model for the project. The main focus is on the design of the database structure, including the development of tables and their relationships, which allowed storing large amounts of air quality data in one space. PHP and MySQL, a database management system with good performance and scalability, were used to implement the database.

A separate aspect of the study is the possibility of expanding the database by adding new stations and integrating data from online resources. In the course of the work, the database was migrated, which helped to achieve the final structure of the database, laying the foundation for further development of the functionality and increasing the number of data sources.

The created database will become the basis for the creation of an automatic report and forecast generation service, as well as allow researchers and specialists to carry out a detailed analysis of the state of atmospheric air in different regions of Ukraine.

Compression detector for frequency monitoring and passive location systems

2023-11-26T00:38:33+02:00

The article analyzes the principle of operation and the possibilities of applying a compressive detector, the principle of which is based on the use of a scan heterodyne and dispersion filter. As a dispersion filter, it is proposed to use a set of time delays connected in series and bandpass filters connected to the delay taps. Such a system allows compression of broadband modulated signals in the form of pulses, which increases the signal-to-noise ratio and increases the ability to separate signals by frequency. The mathematical support describing the principle of operation of the compressive detector and the conditions for implementing the matched filtering of the signals received on the dispersion filter is considered in detail. A diagram of the structure of the compressive detector is presented, the principle of which is based on the given mathematical support. The proposed system can be implemented and used for information processing of unknown, hidden signals, in information systems of frequency monitoring and passive location.

Routing method in mobile software-defined networks based on fuzzy inference system

2023-11-26T00:33:59+02:00

The work is devoted to the development of a routing method based on a fuzzy inference system and a multi-path routing algorithm in mobile software-defined networks. A routing method is proposed that allows increasing the efficiency of the route selection scheme by taking into account a set of metrics and determining the path with the highest stability value to the specified destination node using a fuzzy inference system.

The algorithm of multi-path inverse wave routing is used, which allows finding paths between source and destination nodes and finding paths between intermediate network nodes, and performing dynamic rerouting of the path if necessary. An algorithm for predicting the stability of the route for packet transmission using the Mamdani fuzzy inference system has been developed. This method helps to choose a route with a low probability of link destruction during routing and to reduce the number of path discovery operations from the initial node.

Research of predictive control procedures for communication, navigation and surveillance equipment

2023-11-26T00:26:17+02:00

Communication, navigation and surveillance devices play a significant role in the process of ensuring the safety of civil aviation flights. Operation systems are used to maintain the reliability and efficiency of the intended use of this equipment. The operation system includes the devices of communication, navigation and surveillance, personnel, documentation, and resource support. The main functions of the operation system are: organization, coordination, control of the technical operation of objects and devices of communication, navigation and surveillance; carrying out organizational and technical measures regarding modernization, support of operational readiness and extension of the service life of these equipment; planning, organization, coordination and control of operation on the certification of aviation devices and services; planning, coordination and control of flight inspections of vehicles; improvement and implementation of new methods of operation organization, including based on the use of modern information technologies. Forecasting the technical condition is an important operation process. As a result of forecasting the technical condition of communication, navigation and surveillance equipment, the value of a set of determining parameters is assessed. The practical application of predictive control algorithms involves the reduction of errors in decision-making about the state of the object in the presence of a priori uncertainty. The quantitative measure of the objectivity of decisions made as a result of forecasting is the veracity of forecasting control. The veracity generally characterizes the degree of confidence in decisions made as a result of forecasting. The veracity of the control depends not only on the objectivity of the actual forecasting, but also on the efficiency of the operation of communication, navigation and surveillance systems. This article is devoted to the study of issues related to the features of the application of predictive control and assessment of the veracity of decision-making as a result of forecasting. At the same time, mathematical equations characterizing the process of classifying the technical condition during forecasting and subsequent assessment of the veracity of decision-making are given. The results of the research can be used during the development and modernization of the operation systems for communication, navigation and surveillance equipment.

Enterprise service bus for efficient functioning of the information security event management system

2023-11-25T07:56:47+02:00

The number of cyber threats in ICT is increasing and the development of new security oriented instrumental tools is very important and relevant scientific task. SIEM systems are category of such tools, directed on log analysis and incident management to prevent negative consequences minimize damage of cyber threats for end user. In the previous works authors have analyzed existed SIEM systems and DB types for them as well as created new architecture of cloud-based SIEM. Next step of this research project is ESB justification. The paper defines the place of ESB distributed data bus in the concept of SOA architecture, identifies the functions and benefits. Also authors analyzed most popular up-to-date ESB solutions and provides recommendations in context of developed SIEM implementation in the critical infrastructure. The developed ESB component for the effective functioning of SIEM systems at CI facilities will provide a number of advantages, such as a wide range of connectors and solution scalability, flexible data routing, guaranteed delivery of information messages, organization of a secure transmission channel, centralized management, the ability to monitor and diagnose transmission status, as well as the possibility of integration with third-party message queues. Besides, the data sheet for SIEM in critical infrastructure was formed and proposed in this paper.

Optimization method for mass service system with the use of a virtual assistant based on artificial intelligence

2023-11-25T07:47:36+02:00

In article, we present the development of an optimization method for mass service systems using a virtual assistant based on artificial intelligence as an effective tool for automating and enhancing user service processes. The proposed solution enhances user interaction, utilizes artificial intelligence to improve responses, efficiently stores and analyzes data, and enables automation through a GAS. Future plans include expanding the language model, improving the user interface, adding automatic language recognition to support multiple languages, and introducing additional query analysis capabilities. We aim to develop algorithms that learn from user responses to provide personalized answers and enhance the user interaction experience. Furthermore, we investigate and optimize data processing algorithms to ensure the system's efficient operation in high query volume scenarios. These research developments have the potential to enhance the efficiency, accuracy, and user experience of mass service systems utilizing a virtual assistant.

Implementation of industrial internet of things technologies using Edge, Fog, and Cloud computing

2023-11-25T07:32:14+02:00

Having superior features of productivity of the Industrial Internet technology of things used in the establishment of clever cities and clever villages, optimity, etc. increases the need to use it. The low-capacity of the physical resources of Iot-based sensors allows it to integrate into cloud technology. Cloud-based infrastructures are not sufficient for the existing requirements of the products of the products. The two main issues, in terms of reconciliation and network expansion limits arise. Also, the breaks of the Internet connection, the low conductivity, etc., as such problems, allow IIOT to integrate the "Fog Computing" and "Edge Computing" technologies. Taking into account the coverage and development of IIOT technology, it is believed that in many cases taking advantage of its full potential will be possible to combine clouds, fog and edge calculations. In this article, Industrial Internet technology of things, its integrated "Cloud", Fog ", Edge technologies are being investigated and differences between them, distribution-based approaches between levels are discussed.

Formalized method of the solution of multi-criteria problems

2023-11-25T07:23:16+02:00

Multi-criteria (vector) optimization involves finding a set (Pareto area) of acceptable solutions. You usually only need to choose one of them. Since the points of the Pareto set are formally incomparable, in order to solve the problem, it is fundamentally necessary to involve information about the preferences of the person making the decision. When solving a specific problem of vector optimization, the decision-maker creates his own model of the objective function (utility function) according to his preferences. Thus, the solution of multi-criteria problems is subjective in nature. The article proposes a formalized method for solving multi-criteria problems.

A model of multi-criteria optimization is obtained, which allows the object to realize all the goals set in the entire range of possible situations. A systematic approach to the problem of vector optimization made it possible to combine models of individual trade-off schemes into a single integral structure that adapts to the situation of making a multi-criteria decision. The advantage of the concept of a non-linear trade-off scheme is the possibility of making a multi-criteria decision formally, without the direct participation of a person. At the same time, on a single ideological basis, both tasks that are important for general use, and those which main content essence is the satisfaction of individual preferences of decision makers, are solved. The apparatus of the nonlinear trade-off scheme, developed as a formalized tool for studying systems with conflicting criteria, makes it possible to practically solve multi-criteria problems of a wide class.

Method of influencing a student's attestation results through extracurricular activities

2023-11-25T07:10:28+02:00

The article systematically analyzes, systematizes the impact of extracurricular activities of students on educational indicators and identifies the main characteristics. A methodology for assessing the impact of students' extracurricular activities on educational indicators using the Bayesian approach has been developed. Using the proposed methodology, reports were compiled based on a priori data and the impact of students' extracurricular activities on their success rates was assessed. Based on the a priori data obtained, it was determined that this effect does not exceed 30%.

Analysis of contemporary methods for detecting anomalies in computer networks

2023-09-20T04:11:14+03:00

The definition of the concept of anomaly is analyzed, the reasons for their occurrence and possible impact on computer networks are briefly described. Еhree types of anomalies are considered: individual (point), contextual and group anomalies. It is also described on the basis of which characteristics abnormal behavior is detected. Classifications of anomaly detection methods described in the scientific literature are given. Standard statistical methods, methods based on clustering and methods based on classification are considered.

Analysis of the conversion function nonlinearity of the analog-digital converter

2023-09-20T04:05:49+03:00

The study aims to analyze analog-to-digital converter (ADC) nonlinearity in digital measuring instruments such as oscilloscopes, multimeters, and spectrum analyzers. The non-linearity of the ADC can lead to insufficient accuracy, distortion and inhomogeneity of the signal transformation. The research examines the factors that cause the nonlinearity of the ADC and the methods of evaluating its influence on the measurement results. Also considered are the parameters related to the nonlinearity of the ADC, which are standardized in the technical descriptions, allowing to assess the level of nonlinearity and make appropriate corrections during data processing.

Information technology for processing target load data of unmanned aerial systems

2023-09-20T04:00:59+03:00

Given the speed of development of unmanned aerial vehicles (UAV) and the scope of their use, the task of creating a unified platform for deploying information processes directly on board is gradually arising. This article proposes an information technology (IT) that will allow deploying any information processes on board an UAV in real time. The article also provides a number of examples of using the proposed IT with a detailed description and recommendations.

This technology can provide a flexible platform for further research and development in this field, and also solves the problem of quickly creating various types of UAVs with artificial intelligence based on various platforms. Currently, there are a large number of different companies in Ukraine that assemble or develop BPS, but they do not have any target load, which can also be said positively about these companies.

Microcontrollers with stack architecture

2023-09-20T03:47:26+03:00

The development of microcontroller cores that have both low hardware costs and minimized length of compiled software code that is executed with the required performance is necessary for the implementation of Internet of Things systems, and application specific systems based on field programable gate arrays (FPGA) of small volume.

The main task of the research is to develop an efficient architecture of the microcontroller core, which is configured in a small-volume FPGA.

As a result of the research, it was established that such a kernel should have a stack architecture. Such an architecture minimizes both the size of the compiled software code and hardware costs. In addition, in such an architecture, programs with a large number of conditional instructions, subroutine calls and frequent interruptions are quickly executed.

Eight- and sixteen-bit microcontroller cores with the names SM8 and SM16, respectively, which have a stack architecture, are proposed. Application specific user instructions can be added to the instruction set that are configured to speed up the execution of the executed algorithm. So, it is possible to add to the SM8 core up to dozens of user instructions that are executed by subroutines. A single instruction of the SM16 core calculates the hash function of the input keywords at a rate of two clocks per symbol.

The cores are characterized by low hardware costs and can be configured in FPGAs of various series and manufacturers. In particular, the SM16 core has 1.7 times lower hardware costs and 2.7 times higher performance than the MSP430 architecture core.

Research on the impact of Non_Maximal Suppression threshold value on YOLO’s ability to recognize objects in low-quality images

2023-09-20T03:43:02+03:00

Based on the analysis of existing approaches to object detection in images, the YOLO model was selected for investigating the dependency of performance on the Non-Maximal Suppression (NMS) threshold value. This article addresses the current challenge of utilizing unmanned aerial vehicles (UAVs), particularly drones, in various fields where they are employed for collecting visual data. The primary objective of this research is to study and evaluate the optimal NMS threshold value for the YOLOv7 model when processing images acquired from UAVs under conditions characterized by low resolution, noise, and other artifacts. The study demonstrates that the YOLOv7 model can be effective in recognizing objects in images obtained from drones, even in the presence of low resolution and noise. However, it was observed that altering the NMS parameter affects the accuracy and frequency of false object detections. Decreasing the parameter value can enhance object recognition but concurrently increases the likelihood of false detections. The obtained results indicate the need for further research in this area, including improving the quality of source images, developing individualized approaches, and methods for working with visual data obtained from UAVs with low resolution.

A method of traffic balancing in SDN networks based on a modified distance vector routing protocol

2023-09-20T03:37:52+03:00

The paper considers the issues of traffic balancing in computer networks using Software-Defined Networking (SDN) technology. The expediency of load balancing in SDN networks on the basis of multipath routing is substantiated. The criterion of path selection is proposed, which allows to provide the maximum possible uniform loading of channels.

The method of traffic balancing is proposed, which due to the centralised way of route information formation in the SDN controller and the use of multipath routing method allows to increase the efficiency of dynamic traffic reconfiguration procedure. Formation of routing information is carried out using a modified distance vector routing algorithm. This algorithm allows simultaneously with the formation of a given route to form paths from all intermediate nodes to the final node. The method of centralised formation of routing information is proposed, which allows to exclude repeated formation of routing information for previously formed sections of the route.

Modeling of the multipath routing using known paths with ONOS SDN controller

2023-09-20T03:26:45+03:00

This article describes the modeling of the local network environment, which uses the OpenFlow protocol for communication between links in the system and the ONOS controller, which performs network management based on software defined networks (SDN) technology.

In the course of the study, a virtual network model was built using the mininet platform with an arbitrary topology. The controller reads information about devices in the environment based on the given model and forms a representation of the network in its memory. To find paths, method of multipath routing using known paths (from previous studies of connections on the topology performed by the controller) developed by the authors of the article was used. This method has one of the lowest time complexities among other methods. For the controller, a modification of the software routing algorithm, which is administered by the controller, was carried out in accordance with the selected theoretical method. Testing of the model that was built and verification of theoretical assumptions were performed. The number of transitions ("hops") between network links is used as a metric.

DPI traffic classification technologies in SDN networks: a survey

2023-09-20T03:20:06+03:00

The work considers the prerequisites for the emergence of software-defined SDN networks, which are in great demand today.

The purpose of the work is to review the technology of building SDN networks and recognizing types of traffic based on SDN technology. Analyze existing solutions in the field of recognition of encrypted traffic, which is the most popular in modern networks. Compare recognition algorithms, their speed of operation and recognition accuracy. Explore vulnerabilities and potential solutions in SDN security.

The authors suggested further research into ways of using DPI technology in software-configured networks in order to improve the efficiency of using existing communication channels.

The results of a comparison of traffic recognition systems and their vulnerabilities in comparison with classic networks are presented.

Method of reduction of data uncertainty in monitoring systems based on ontological additions

2023-09-20T03:15:13+03:00

The proposal for the use of ontological additions has a perspective in the field of distributed systems monitoring, when there is uncertainty in the totality of the collected data, and it is quite difficult to obtain clear parameters by traditional measurement methods due to a number of objective reasons. It was proposed to present an ontologically supplemented set of collected information in the form of:

S_O^+=⟨A,P,V,γ,ω,O⟩

where O is the ontology of the system. In this way, ontologies make it possible to carry out a logical analysis of monitoring objects and perform redefinition of their attributes, thereby increasing the amount of information in the totality of collected information. In addition, the prospect of creating ontological additions by automated means based on Data Mining analysis was considered. The article presents the results of a theoretical study of the possibilities of using the expanded set of collected information. The approach proposed in the study can play a significant role in expanding the capabilities of monitoring systems and improving their operational characteristics.

Research of simulation of two-dimensional samples using polynomial splines

2023-09-20T03:02:38+03:00

Simulation is used to solve a variety of problems, for a certain set of reasons: imitation of "critical" modes that can be dangerous in real operation, saving time and material resources, the possibility of remote training, etc. In particular, in the case of research in multidimensional spaces, it is important not to model the operation of the system, but rather the data sequences of a certain type, could solve the problem of the lack of such data.

In [1] it is said that when simulating samples, the first thing to start from is the distribution model that needs to be obtained. The model can be defined by some analytical distribution law (normal, Weibull, uniform, etc.), and in this it depends on the parameters (parametric model). Usually, models are chosen such that their parameters carry some meaningful interpretation (a, b - the beginning and end of the interval in a uniform distribution, λ – intensity in an exponential distribution, etc.). Another class of models that reproduce distribution functions are nonparametric ones (kernel methods, histogram estimates of the empirical distribution function, spline approximation [4]). The main problem with parameter-based methods is their limitation, especially in two cases:

When modeling multivariate data - in this case, the work always leads to the transition to a multivariate normal distribution.

When modeling heterogeneous samples that are a mixture of several distributions (not necessarily from the same class), truncated or containing missing observations.

In this context, the use of parametric models is objectively impossible in its pure form. Therefore, having a tool that approximates heterogeneous data well is desirable for solving the problem of generating heterogeneous multivariate populations.

Architecture of integrated navigation systems with enhanced coordinate accuracy and fault detection

2023-09-20T02:55:44+03:00

The integration of GNSS/INS is becoming increasingly pivotal for the precise operation of uncrewed aerial vehicles, especially in agriculture. This integration is underscored by two primary necessities: the assurance that after prolonged operation, the accuracy of the navigation parameters remains uncompromised and the implementation of an integrated navigation algorithm that is both straightforward and dependable, demanding minimal processing power from the onboard chips. This article first introduces the centralized Kalman filter approach, employed to merge GPS and INS systems, based on a loosely coupled framework. This amalgamation is streamlined, significantly curtailing the computational demands of the system, and reducing its intricacy. Subsequently, the discrepancies in the INS system's navigation parameters, as gauged by the discrete Kalman filter algorithm, are rectified using a feedback amendment method. This strategy effectively counters the degradation in navigational accuracy that typically ensues from extended operational periods.

Method of determining the importance factor of IT projects investment attractiveness

2023-09-20T02:48:07+03:00

The consistent implementation of the policy of attracting direct foreign investments to the development of post-war Ukraine urgently requires the use of modern system and IT for expert research of potential objects of these investments. And the more indicators and characteristics are applied, the more objective the conclusion will be regarding the degree of investment attractiveness of a specific object of expertise. It is substantiated that the specified assessment of the investment attractiveness degree of the object of examination is obtained using the multiplicative function of aggregation, which takes into account the normalized coefficients of importance (CI) of both the relevant features of investment attractiveness and indicators of the degree of their expressiveness in a specific object. From the comparative analysis of these methods, it was determined that the mathematical method of setting priorities (MSP) is more acceptable for research purposes. The paper presents a method for determining the CI of the investment attractiveness of IT projects, which, due to the synthesis of the MSP and procedures for calculating the total value of the value and comparing it with the established criterion of importance, makes it possible to determine the optimal iteration of the MSP and ensure both the nonlinearity of the obtained CI and acceptable accuracy of calculations. During its implementation, it was substantiated that the results of the second iteration are more acceptable, and the first ten (55.55%) in terms of the level of importance of features of the investment attractiveness of the examination objects provide a total contribution to the overall significance that exceeds the established criterion of 0.9.

Automated employee location registration system

2023-09-20T02:42:14+03:00

This scientific article presents the development of an automated employee location registration system using Google Apps Script and Google Sheets. The proposed solution is based on integration with the Telegram Bot API, which allows receiving location messages from employees and sending check-in and check-out requests. The main advantage of the developed system lies in its user-friendly interface and the ability to automatically store data in Google Sheets. It enables companies to effectively track the movements of their employees, store important information, and streamline administrative processes. The developed solution can be applied in various fields where tracking employee presence at locations or monitoring their whereabouts is crucial. By leveraging Google Apps Script and Google Sheets, the development is accessible, adaptable to user needs, and can be expanded and modified according to specific requirements and use cases.

Models of information conflicts in infocommunication systems

2023-09-20T02:28:42+03:00

In the present study, a systematic analysis of models of information conflict interaction in infocommunication systems (ICS) is carried out. The infrastructure of ICS is realized by a set of telecommunication and information-computing systems (TCS/ICS). The analysis of scientific publications shows the relevance of the problem of improving existing and developing new methods of managing information security processes in the dynamic conditions of information confrontation, taking into account the uncertainty of information about the enemy's actions, the need to develop theoretical foundations, scientific methods and models of information security management in IIS. At the present stage, several approaches to modeling information conflicts coexist, which reproduce the specific features of the conflict component. They can be conditionally divided into approaches based on precise description and approaches based on product or game models.

The mathematical model of the dynamics of information conflict in TCS/IS is represented by a well-known system of randomized equations for the dynamic change in the probabilities of states of conflicting systems. An important feature of the information conflict is the uncertainty of the use of the allocated resource by the operating systems. The methodology and stages of studying the interaction of secure information systems operating in the environment of information conflict in TCS/IOS are determined.

Choosing a multiple radio access technology without tradeoffs between fairness and optimality

2023-09-20T02:24:20+03:00

The task of ensuring the end-to-end quality of service of heterogeneous wireless (HW) networks with random multiple access is considered. The processes of the occurrence of conflicts between the fairness and optimality of route selection and resource allocation in HW networks are analyzed. A technique for eliminating conflicts between fairness and optimality of resource distribution has been developed. It is shown that in the rational definition of radio access technology in heterogeneous networks, the functions of each level and, accordingly, the information parameters of the traffic at this level can be attributed to one of two alternative groups: functions that depend on a specific technical implementation of the network or functions focused on working with applications. Accordingly, a global approach to optimal RAT selection is formulated and an approach for RAT selection using a distributed metaheuristic tabu search algorithm based on the peak speed that users can perceive is proposed. A distributed RAT selection system has been developed.

Development of circuit design of integration ADC

2023-07-04T02:22:35+03:00

An analysis of the ADC used in precision voltmeters Solartron models 7065, 7071 and 7081, which had record-breaking accuracy parameters for its time, was performed. The obtained transformation equations describing the process of formation of the output code based on the balance of charges on the integrator. It is shown that such a balance is difficult to achieve in all cases, because certain conditions are necessary for this. The main equations for determining the errors caused by the non-ideality of the ADC elements are derived. It is shown that the process of converting the input voltage into the output code occurs cyclically and has an iterative nature, that is, after the input voltage changes, the output code changes from cycle to cycle according to the law of geometric progression. The obtained expressions for the denominator of the geometric progression and the graph of the dependence of the denominator of the geometric progression on the input voltage, as well as the voltage oscillograms at the characteristic points of the circuit, are given. It is determined how the values of the denominator of the geometric progression affect the nature of the transformation process. The convergence of this process was investigated.

An advanced method of compressing digital images as part of a video stream to pre-process the data before encrypting

2023-07-04T02:15:34+03:00

Reducing the volume of video and photo information while maintaining high-quality visual perception remains an urgent task that specialists in specific subject areas are constantly working on. However, without questioning the success of the developers of compression methods (both with loss and lossless), reducing the size during streaming of video information carries a deterioration in the quality of information that is quite noticeable to the human eye or distorts the information in such a way that its further processing becomes impossible. In the work, we propose a basic method to increase the level (percentage) of compression of a digital image (as a part of the video stream from UAV) with losses, and it is based on both transformations that ensure the invariance of that digital image and background extraction methods.

Design of data analysis means for IoT monitoring systems of the road surface condition

2023-07-04T02:01:31+03:00

The article is devoted to the development of data processing tools for road surface condition monitoring and maintenance systems based on Internet of Things (IoT) technologies. Data processing processes are complicated by the need to collect an excessive amount of data from IoT devices and implement algorithms for their processing with high computational complexity in real time.

The method of classifying indicators of linear acceleration of the accelerometer using CNN convolutional neural networks To identify road irregularities is proposed. The use of a trained neural network for the classification of road irregularities made it possible to increase the accuracy of information about the condition of the road surface by 6% and ensure the implementation of analytical algorithms for processing IoT data in real time. Experiments shown that the developed tools allow quick detection and reliable identification of road surface irregularities on arbitrary terrain. The proposed tools can be used in maintenance systems by smart cities, as well as to improve the quality of life of drivers and prevent critical situations related to poor road surfaces.

A method of accelerated fake news recognition based on natural language processing and removal of vowels in words

2023-07-04T01:51:55+03:00

News web resources are gaining more popularity these days. Such sources of information can use the trust of the audience to manipulate facts and spread fakes. Thus, protection against such resources is a huge challenge today.

The most important part of any software is its speed. Fakes appear every day, but today there are no automatic fact-checking systems. All checks are done by journalists or by semi-automated systems that are either specific to small tasks or too slow. Therefore, this article proposes a fact-checking method using NLP and Levenshtein algorithm. At the same time, the method offers accelerated text analysis, making calculations with the minimum value of the vector representation of words. This was achieved at the level of NLP lemmatization by removing vowels from words.

In our time, the topic is studied quite deeply. But most research focuses on using NLP technology for natural speech analysis in specific fields such as text search, bots, text markup, etc. In addition, the reduction of the vector representation of words for accelerated text analysis and structuring of its tokens was not considered.

The main task of the research is to develop an effective forgery detection system using Natural Language Processing technology, which shows the result quite quickly by reducing the length of words, and not based on the previous training of the system.

The paper proves the ability of NLP technology to solve the task of fact checking. However, there are still several directions for further work. For example, using a learning neural network to detect the most common forgeries or investigating the occurrence of collisions in the vector representation of words without vowels.

A new approach to generation of mnemonic phrases based on media files

2023-07-04T01:23:58+03:00

Memorable passphrases have become a popular method of protecting cryptocurrency wallets due to their ease of use and the ability to restore wallets in case of loss of physical media. However, the security of mnemonic passphrases depends on the reliability of the seed phrase and the security measures used to store and protect it. This study evaluates the security of storing memorable passphrases and assesses the risks associated with other storage methods. Disadvantages associated with various types of cryptocurrency wallets have been identified, including the potential for data leakage and hacking attacks, vulnerability to physical theft and damage. A new approach was proposed in creating and storing a memorable phrase using media files. The obtained results make it possible to conclude that the proposed approach is more secure than the existing methods of preserving the ymonic phrase.

Integration of measuring channels of three-phase digital electricity meter

2023-07-04T01:15:51+03:00

The object of this research is the process of electricity measurement with a digital three-phase electric energy meter. The goal is to increase the accuracy of electricity measurement with an electric energy meter connected with a current transformer by software integration of measurement channels. The proposed method involves using the space vector method for electricity measurement. It is proposed to measure the instantaneous values of currents and voltages of a three-phase electrical network using electromagnetic measuring current transformers, performing analog-to-digital conversion to obtain digital readings of signals, to calculate complex values of space vectors, to find the total power as a product of the voltage vector by the conjugate current vector. The real part of the total power corresponds to the active power, the imaginary part to the reactive power. By integrating power over time, the corresponding energy values are calculated. The advantages of this approach are the absence of the need to calculate the root mean square values of currents and voltages, which is one of the main sources of measurement uncertainty. Also, the increase in accuracy is achieved due to the software combination of calculations for three measuring channels. The application of the proposed approach makes it possible to reduce the uncertainty of electricity measurement, which increases the accuracy of calculations for consumed electricity.

Methods of applying artificial intelligence in software-defined networks

2023-07-04T01:09:16+03:00

This work is devoted to the review of artificial intelligence application methods in enterprise networks using SDN technology. The paper examines the features and methods of using AI in these networks, as well as identifies potential problems that may arise.

The paper provides an overview of the main features of AI in enterprise SDN networks. AI has been found to automate many processes in the network, such as routing, monitoring, bandwidth management, and more. Using AI helps improve network efficiency, reduce costs, and improve security.

Potential problems that may arise when using AI were also highlighted. In particular, questions arise regarding data security and privacy, as well as ethics and responsibility for the actions of AI-based systems.

In general, the work puts forward the idea of using artificial intelligence in enterprise networks using SDN technology to improve network efficiency and ensure security. The methods of applying AI in these networks are reviewed, potential problems are identified, and prospective directions of research are outlined.

This work provides an overview of the features and capabilities of AI in enterprise SDN networks, and also lays the foundation for further research in this area. The implementation of artificial intelligence in enterprise networks is an urgent task, as it helps to improve the efficiency and security of networks and opens up new opportunities for their development.

Traffic engineering method in large-scale software-defined networks

2023-07-04T01:03:36+03:00

This paper is devoted to the method of traffic engineering in software-defined networks of large scalability. A review and comparison of existing solutions is carried out, on the basis of which a modified method of traffic engineering is proposed, which takes into account the software-defined architecture with regard to the load parameter.

The modified method takes into account the cluster structure of the network and provides a two-layer organization of route calculation. Each local cluster controller exchanges information with the central controller responsible for calculating and managing network traffic. This interaction of components allows to effectively manage the transmission of traffic along the least loaded route. The proposed method uses available communication channels and reduces the waiting time for data transmission in the context of network scaling by selecting less congested links.

Accuracy of measurement of mechanical quantities using the theory of fuzzy sets

2023-07-04T00:52:56+03:00

Proposals regarding the use of the theory of fuzzy variables for measuring mechanical quantities have a perspective in the field of formalized information, when there is uncertainty, and it is quite difficult to obtain precise parameters of a measurement quantity by traditional methods due to a number of objective reasons. The article presents the results of a theoretical study of the possibilities of measuring mechanical quantities using the tools of the theory of fuzzy variables. The coordinate measuring arm (CMM) is considered as a tool for controlling the accuracy of the dimensions of parts, as well as a converter of the rotational parameters of the electric motor. Each of the methods of measuring the specified physical quantities has its own characteristics of controlling the accuracy and reliability of the obtained data. Therefore, in order to study the properties of the theory of fuzzy sets, during its application in various measuring instruments, a number of experiments were conducted on models for measuring the rotational moment and geometric characteristics of physical objects. For this purpose, the working principle of the KVR and its components is highlighted, the methods and tools used for the calibration of the KVR are described, in order to ensure its high accuracy and reliability. Methods and means of measuring torques of electric motors are presented. Modeling of the accuracy of the obtained data was carried out, using the specified measurement methods, for this a number of mathematical models were used, which take into account the error of measuring devices. A comparison of the research results characterizing the tools of the theory of fuzzy logic as a universal tool for determining the reliability of the obtained data during the measurement of mechanical quantities is given.

Formalization of the testing process of experimental samples of flight-technical uniforms

2023-04-27T17:02:17+03:00

The work considers an approach to formalizing the testing process for building the structure of an information model for testing prototypes of flight technical uniforms (LTO), designed to protect the flight and technical composition of aviation of the Armed Forces of Ukraine from the influence of adverse environmental factors and the creation of protective equipment and other support systems vital activities, the necessary conditions for the personnel to perform their functional duties.

The authors discuss the importance of conducting tests to ensure the safety of flight personnel and increase the effectiveness of the tasks of aviation units, the stages of the test process are given, starting from planning to the analysis of results. The article also draws attention to the importance of standardization of the test process and the use of documentation, which is determined by the requirements of DSTU EN ISO/ IEC. Therefore, the article focuses on the development of a new formalized methodology for evaluating flight technical uniform quality indicators, which ensures test efficiency and a more accurate and objective evaluation of test samples.

System for planning interviews in IT companies

2023-04-27T16:28:52+03:00

An interview planning system for IT companies allows for significant employee involvement in the hiring process, which allows IT companies to be more efficient and save time when hiring new employees. Thus, the interview scheduling system in IT companies provides a comprehensive and organized approach to managing a large number of potential candidates for vacant positions. By creating a comprehensive and organized system for planning and controlling the interview process, this system helps to ensure a more efficient and successful interview process, allowing companies to make decisions faster and more accurately.