Development Of Software Modules Research Articles

Разработка DLP-модуля для защиты персональных данных в распределенной автоматизированной системе

The importance of personal data protection in automated systems is being considered. A study is provided on the development of a software module for protecting confidential information, including personal data, in a distributed automated system. The primary goal of the study: to create is to create software that prevents leaks of confidential information. The developed software module is designed to block the leakage of confidential information through network channels and removable media using a machine learning model with centralized security administrator management. The practical significance: the use of this module in organizations includes ensuring centralized information security management, reducing the risk of confidential data leaks, and supporting the investigation of security incidents. The research can be used as a temporary measure during the period of updating and adapting the system to new realities until a full-fledged protection system is achieved.

Исследование модернизации морского пассажирского порта на основе цифрового двойника и оценка инфраструктуры с помощью динамических данных от беспилотных авиационных систем

The current state of the maritime passenger transportation industry is considered, as well as the factors influencing the chosen industry are investigated (competition between ports in the sea region, new environmental requirements and a shortage of space for new ports and terminals in megacities). Models of the evolution of seaports and terminals in the regions of the seas are analyzed and the need to solve the problem of forecasting development, reasonable modernization is revealed infrastructure. The importance of integrating passenger ports into urban transport systems and ensuring effective interconnection of maritime transport with regional transport systems is noted. Special attention is paid to the growth and development potential of sea ferries and cruises in the Baltic Sea region, the historical importance of St. Petersburg for cruise tourism and the need for the gradual restoration of the port and the development of new route networks are noted. The necessity of developing new methods for modernizing the infrastructure of passenger seaports based on the creation of digital models and the use of dynamic data is substantiated. As a solution, it is proposed to create a new digital model of a marine passenger port using information obtained from unmanned aircraft systems. This model will accurately take into account the infrastructural features of passenger ports and terminals, as well as the established priority of berths for the service of cruise and ferry ships. For multi-scenario modeling, a new digital model of the marine passenger port of St. Petersburg “Marine Façade” is proposed. To analyze the simulation results, the developed software modules in the Python programming language are proposed to describe the behavior strategies of the decision maker (port manager). To describe the decision-making process in the conditions of uncertainty that arises when making a decision on the modernization of the port infrastructure, the choice of the Wald criterion was justified as a criterion. A series of experiments was performed, based on the data, digital 2D and 3D models of a marine passenger port were formed for subsequent use in the AnyLogic environment, and a digital twin was built. A distinctive feature of the model is the up-to-date information on the state of the transport infrastructure and integration with data on ship calls. The presented model, methods of working with the results of multi-dimensional modeling, the use of unmanned aircraft systems, and the development of a model based on decision-making under uncertainty can be applied to other passenger seaports and terminals, which emphasizes the universality of the proposed approach.

Интерактивная геоинформационная система динамической визуализации характеристик аврорального овала на основе паттернов компонентно-ориентированного программирования

The practical need for operational monitoring of the position dynamics of the auroral oval is due to the negative technospheric manifestations of space weather effects observed in this spatial region. However, the well-known software tools for modeling the auroral oval solve this problem inefficiently from the point of view of informativeness and ergonomics. The paper proposes an approach to dynamic visualization of the characteristics of the auroral oval, which is available at the program level in the form of a traditional web application with the ability to render visual elements in the browser, as well as in the format of a standalone service like RESTful-API. The developed solution provides visualization of the following parameters: the probability of observing the glow of the upper layers of the atmosphere with the naked eye, the electric and magnetic potentials of the field in the region of the northern auroral belt, as well as various types of auroral precipitation. It is assumed that the proposed approach will make it possible to significantly increase the efficiency of the study of parameters in the auroral oval region by specialists and scientists in the relevant fields. At the same time, the high internal and low external connectivity of the developed software modules allow them to be integrated into third-party applications of various profiles and purposes.

Secure and Efficient NVM Usage for Embedded Systems Using AES-128 and Huffman Compression

Embedded systems are customized systems designed to meet functionality and specific usage purposes. These systems often grapple with challenges such as power interruptions, limited memory space, and the expectation of a long operational lifespan. It is in this context that Non-Volatile Memory (NVM) plays a vital role. NVM is a type of memory that ensures data persistence even in situations of temporary power loss or signal interruptions. Efficiently utilizing NVM is a critical necessity for the effectiveness and reliability of these systems. Efficient utilization of NVM necessitates the effective management of write and read cycles. Previous studies have demonstrated the efficient utilization of NVM sectors by ensuring that no garbage bytes remain unallocated. Previous studies have demonstrated the efficient utilization of NVM by compressing the data to be written into NVM using the Huffman compression algorithm, and filling sectors without any residual garbage bytes. This paper aspires to advance beyond prior research by integrating the Advanced Encryption Standard (AES-128) block encryption algorithm, aiming to optimize the utilization of NVM to a greater extent. The AES-128 algorithm provides data security with encryption and decryption operations. By applying AES-128 encryption to the data before writing it to the NVM, this work adds a data security layer to the developed software module. Data is divided into blocks using this algorithm. Each block is encrypted independently and then reassembled. The encryption process includes key management, substitution-permutation network layers, and multiple rounds, all of which make substantial contributions to high-level data security. The resulting encrypted data is compressed using the Huffman compression algorithm. This process enhances both the security and efficiency of data storage. The data is written to NVM with maximum efficiency, ensuring that no residual garbage bytes remain, upon the completion of the encryption and compression processes. This study surpasses previous research by enhancing storage security and efficiency through these processes. Moreover, the developed secure and efficient NVM usage, as it fills the NVM with data without leaving any garbage bytes, results in slower processing speed compared to standard NVM usage. Therefore, in future research, interventions with code optimization techniques can be applied to the developed algorithms to enhance write and read speeds.

Modeling of a low-temperature gas treatment system

Objective. The main purpose of the work is: investigation of the effect of changes in technological parameters on the efficiency of the separation process and determination of optimal technological modes of operation of gas field X CNTS in the separation process.Method. The problem was solved in the KBC Petro-SIM computer program and the LTS model was built. To conduct the study, a model of the LTS was built in the KBC Petro-SIM computer program.Result. The results obtained with the help of it showed: with the current composition of the gas with a decrease in temperature for every 2oC, with other technological indicators being equal, the specific condensate yield increases in the range from 15 to 30%, and the lower the temperature, the higher this percentage. When the pressure on the throttle decreases by every 0.4 MPa, the condensate output increases, if the pressure drops below 1.8 MPa, the specific condensate output will begin to decrease, which is explained by the pressure drop below the maximum condensation line of the phase diagram. The change in gas flow within the design values did not affect the operation of low-temperature separation. At any available low temperature and high pressure at the inlet to the ILTS, the most optimal mode will be when the pressure after the throttle is maintained within 1.8 - 1.9 MPa. The maximum specific yield of gas condensate (48.21%) was obtained at a pressure at the inlet to the ILTS of 5.1 MPa, a temperature after the heat exchanger of minus 2oC and a pressure drop at the throttle of 3.05 MPa. As part of the numerical research, the following results were obtained: with an increase in the pressure at the inlet to the ILTC, the change in the specific output of the gas condensate is insignificant, but with this parameter it is possible to create a larger pressure drop on the throttle; with a decrease in the gas temperature at the outlet of the heat exchanger, the specific yield of the gas condensate will increase; with an increase in the pressure drop at the throttle, the specific output of the gas condensate increases until the pressure after the throttle reaches the range of values of 1.8 – 1.9 MPa. In this interval, the maximum specific condensate yield is achieved. With a further increase in the pressure drop on the throttle, the specific output of the gas condensate decreases. This is explained by the phenomenon of retrograde condensation, since the maximum condensation line is in the range of these pressures.Conclusion. Based on the results of the work, it was found that the developed software module can be used to solve the emerging series of problems. The results of the work show the suitability of the proposed method for practical purposes.

Development of a Clone Selection Algorithm for Detecting Network Attacks

This article discusses the development of a clonal selection algorithm for detecting network attacks. A scheme for generating detectors by an algorithm for clonal selection of an artificial immune system for detecting network attacks is presented. The developed modification of the clonal selection algorithm of the artificial immune system is presented, which allows one to determine intentional changes in the controlled data, taking into account the use of an external optimization structure. A developed software module has been implemented designed to detect distributed denial of service network attacks. As a result, the detection of missing suspicious packets will optimize the filtering of network packets in networks. Keywords: Security features, clonal selection, software module, network attacks, suspicious packets, packet filtering, traffic filtering.

Image analysis of brain cortex cells in vitro using deep learning method

The article presents a method for analyzing images of cultured cortical cells for a quantitative analysis of the parameters of development of biological neural networks using machine learning approaches. We have developed software modules for segmentation of images into cells, clusters, and neurites using the neural network model and the deep learning method; a training set of images of cultivated neurons and corresponding segmentation masks have been generated. The results were validated by analyzing the development of cultivated neurons in vitro based on the length count of neutrites at different growth stages of the culture. The developed methods for monitoring the processes of formation of biological neuronal networks based on the analysis of the neuronal growth under different conditions and on different substrates provide an opportunity to monitor the processes of stem cell differentiation in the neurogenic direction. The results can be used in monitoring the formation of organoids in bioengineering applications, as well as in modeling the processes of nerve tissue regeneration.

Software for brain tumor diagnosis on magnetic resonance imaging

BACKGROUND: The main reason for the development and implementation of artificial intelligence (AI) technologies in neuro-oncology is the high prevalence of brain tumors reaching up to 200 cases per 100,000 population. The incidence of a primary focus in the brain is 5%10%; however, 60%70% of those who die from malignant neoplasms have metastases in the brain. Magnetic resonance imaging (MRI) is the most common method for primary non-invasive diagnosis of brain tumors and monitoring disease progression. One of the challenges is the classification of tumor types and determination of clinical parameters (size and volume) for the conduct, diagnosis, and treatment procedures, including surgery.
 AIM: To develope a software module for the differential diagnosis of brain neoplasms on MRI images.
 METHODS: The software module is based on the developed Siberian Brain Tumor Dataset (SBT), which contains information on over 1000 neurosurgical patients with fully verified (histologically and immunohistochemically) postoperative diagnoses. The data for research and development was presented by the Federal Neurosurgical Center (Novosibirsk). The module uses two- and three-dimensional computer vision models with pre-processed MRI sequence data included in the following packages: pre-contrast T1-weighted image (WI), post-contrast T1-WI, T2-WI, and T2-WI with fluid-attenuated inversion-recovery technique. The models allow to detect and recognize with high accuracy 4 types of neoplasms, such as meningioma, neurinoma, glioblastoma, and astrocytoma, and segment and distinguish components and sizes: ET (tumor core absorbing Gd-containing contrast), TC (tumor core) = ET + Necr (necrosis) + NenTu, and WT (whole tumor) = TC + Ed (peritumoral edema).
 RESULTS: The developed software module shows high segmentation results on SBT by Dice metric for ET 0.846, TC 0.867, WT 0.9174, Sens 0.881, and Spec 1.000 areas. The testing and validation were done at the international BraTS Challenge 2021 competition. The test dataset yielded DiceET 0.86588, DiceTC 0.86932, and DiceWT 0.921 values, placing the developed software module in the top ten. According to the classification, the results demonstrate high accuracy rates of up to 92% in patient analysis (up to 89% in slice analysis), a very high potential, and a perspective for future research in this area.
 CONCLUSIONS: The developed software module may be used for training specialists and in clinical diagnostics.

ALGORİTHMS FOR FİNDİNG NON-İNTERSECTİNG ROADS ON İMAGES

Research relevance The use of GPS for UAVs to determine their current coordinates (navigation) leads to a number of problems. The development and improvement of the autonomous navigation method without the use of GPS is an actual issue, and this issue is considered in the article. The subject of study in the article is the issue of UAVs navigation based on video images. The purpose of work to develop an algorithm for autonomous navigation of UAVs that requires less resources. The following tasks are solved in the article: software modules are developed based on image processing algorithms; suitable model for invariant identification of curves was studied and applied. The following results were obtained: an algorithm was developed for the invariant identification of winding roads (curves) without intersections from different angles; developed software modules have been tested in the Republic of Azerbaijan on the basis of a map of the region called "Agsu Pass". Conclusions: the application of the method proposed in the article will enable rotation-invariant autonomous navigation of UAVs using less resources.

Development of Software Module for Recognizing Traffic Flows Through Deep Learning

This work describes a software system that uses machine learning methods and classifies vehicles observed in a frame. Analysis of the subject area and the possibilities provided by the methods of machine learning in the framework of the performance of assigned tasks are realized. An important part of the work is devoted to a study of the features of machine learning technologies with a teacher. In particular, the basic principles of the functioning of convolutional artificial neural networks are considered. This paper describes the implementation of the final software module, and its functionality, and demonstrates the results of its testing. Results from the developed software module show significant improvement in the accuracy over other methods, such as Artificial Neural Networks. Further developments of this technology may lead to broader applications and further improvements.

Описание программного комплекса для моделирования робота-манипулятора

The article proposes the development of a software module for modeling the kinematics and dynamics of a manipulator with five degrees of freedom. To solve the forward kinematics problem of the manipulator, the Denavit–Hartenberg method was used. To solve the inverse kinematics and dynamics problem of the manipulator, analytical methods (the Levenberg-Marquardt method, the Newton–Euler method) and a soft computing method (adaptive neurofuzzy inference system) were used. The software module for modeling the kinematics and dynamics of the manipulator was developed using the software package of the SolidWorks computer-aided design system and the MatLab program. The developed software module is able to simulate the kinematics and dynamics of the manipulator based on the described methods, visualize the simulation results, generate a trajectory for the target position and orientation of the end-effector of the manipulator, simulate the movement of the manipulator along a given trajectory.

Strengthening the Economic Interaction of Information and Communication Technologies in The Innovative Design of Activities of Extracurricular Educational Institutions Using Electronic Educational Resources

The article is devoted to the issues of forming the digital competence of pedagogical workers of educational institutions within the framework of their own professional development program at the place of work. It is noted that the issues of designing and developing electronic educational resources (EER) using modern information and communication technologies (ICT) are actualized in the context of the digitalization of education, the activation of the use of mixed and distance learning technologies in the quarantine conditions of work of educational institutions. The article considers the main approaches to determining the content of the digital competence of teachers; e-learning; the main types of EOR, which form the open educational environment of OZ. ICT tools and methods for building a model of design, creation and use of EOR are defined. Improving the qualifications of teachers within the university is considered as corporate training, therefore, for its implementation, it is proposed to apply the concept of knowledge management by creating a repository of digital educational content. Among the modern methods of EOR design, the CASE technologies, which are based on the use of structural analysis and modeling tools, are considered the most effective. The IDEF0 model was chosen for the functional modeling of the processes of creating a computer-oriented EOR design environment. The description of the basic model "Designing EOR for an open educational environment" is detailed to the required level with the help of decomposition diagrams. The specificity of the EOR design model for an open educational environment is reflected by the functions of researching the current state of the educational environment, developing software modules of the knowledge management system, creating EOR, as well as the actual educational process and professional development. Since the project on the introduction of ICT in health care is synchronized with the process of improving the qualifications of teachers through their involvement in the development and implementation of a certain type of EOR, the proposed model allows the further use of EOR in the educational process. At Rauf Ablyazov East European University (Cherkasy), a project was developed according to the PMBoK standard, the main product of which is an LMS system integrated into the educational process of the university along with specially developed modules, as well as EOR created on its basis.

ПРОЕКТУВАННЯ І ПРОГРАМНА РЕАЛІЗАЦІЯ АВТОМАТИЗОВАНОЇ СИСТЕМИ ВІДВІДУВАНОСТІ ТА АНАЛІЗУ ДАНИХ В ЗАКЛАДАХ ОСВІТИ

The work is devoted to the research of the optimal method of monitoring the attendance of educational institutions by students, both teachers and parents: the design and implementation of an automated system that allows to simplify this process, to develop the necessary reports, including notifying parents with information about the attendance of their children; creating modules for analyzing the received information using mathematical modeling methods and the Python programming language and libraries for data processing. The principle of operation of the system is that the information about the student who came to the educational institution is read by a scanner and sent to the local computer, where it is stored. On the same computer, the stored information is analyzed and the necessary reports are generated. Another approach to system development also uses a cloud server. Problems and shortcomings arising from various possibilities of organizing an automated system are analyzed. To save information on the computer to which the scanner is connected, approaches based on the use of the Python language are considered, which allows easy transfer of data to various databases, including Access and MySQL, and another where the scanned information is immediately stored in the Access database, which is located on the computer to which the scanner is connected. Database structures for storing and processing information have been developed and implemented. The system generates various reports with the necessary information, which can be the basis for making certain decisions: for example, a report for the dining hall on the number of students by class, on the total number of children in the school, the total number of people present and absent in absolute and relative terms, etc. The modern Telegram messenger was used to send messages. To implement the idea, Bot Father and the function of this platform were used, which allows you to create automatic robots to perform mailing tasks to its users. The bot logic is controlled using HTTPS requests to the bot system API. With the help of SQL queries, the necessary information is extracted, which is transferred to the developed software module for analysis on a separate group of students or on the institution as a whole. Regression analysis methods are used in software mode using Python tools. The work on the creation and implementation of an automated intellectual system was carried out on the order of a secondary education institution.

Разработка программного модуля построения карт распределения вероятностей встречи с морским льдом для изучения дальневосточных морей

The article presents a description of the developed software module for creating maps of the probability distribution of encountering sea ice. The module allows to process collections of raster map files based on satellite data and obtain vector maps of the probability distribution of encountering sea ice. Source data is Japan Meteorological Agency (JMA) maps provided in raster format without georeferencing, and National Snow and Ice Data Center (NSIDC) maps provided in GeoTIFF format with georeferencing. The module implements an algorithm that allows to calculate the probability of ice occurrence of a given concentration interval at each point (pixel) of a raster map, and then build polygonal vector maps in SHP-format based on the array of probabilities. The algorithm for constructing polygonal objects provides for a sequential enumeration of all horizontal adjacent pairs of elements of the array of probabilities, followed by determining the boundaries of the polygon. Detection of the first points of the polygon boundary allows to start a cyclic search for adjacent points that meet the boundary condition and creating a complete list of points of a closed polygon. Similarly, all other polygons are searched within the water area specified by the color mask. At the last stage, the lists of Cartesian coordinates of points are converted into geographical coordinates. Based on them, polygonal objects are formed in the SHP-file format. Polygon features define areas of probability of encountering ice that belong to the same interval, and include numeric attributes with values for the boundaries of the probability intervals. The generated vector maps allow further data analysis in GIS applications. The developed software was used to build maps of the probability distribution of encountering ice in the waters of the Far Eastern seas.

MODELING POLLUTION DISTRIBUTION PROCESSES IN SHALLOW WATER BODIES TAKING INTO ACCOUNT GRAVITATIONAL SEDIMENTATION PROCESSES

A hydrophysics mathematical model of a shallow water body is proposed, including the pollutants (PS) transport equation, taking into account their gravitational settling, numerically implemented in the software module form. The developed software module makes it possible to evaluate the pollutant concentrations distribution during their deposition from the aquatic environment surface. A model for predicting the distribution of pollutants along the vertical coordinate in a reservoir is proposed, taking into account the movement of the water environment.

DEVELOPMENT OF SOFTWARE MODULE FOR DETERMINING RATIONAL CAPITAL STRUCTURE OF THE ENTERPRISE

The relevance of research on the use of information technologies to solve applied problems, in particular, financial policy management at the micro level has been revealed in this article. The own definition of the concept of financial policy at the enterprise level has been proposed as a triad of the main content principles, namely: asset management, cash flow management, liability management. It has been established that research in the field of financial policy is mostly theoretical, therefore the development of software module based on the model of solving a practical problem presented in the article is relevant for Ukrainian enterprises.
 After structurization and determination the list of financial policy tasks, an original improvement of one of the important components in asset management, namely the task of modeling the amount of receivables, has been proposed. In order to obtain the maximum economic effect, it has been proposed to suggest to calculate the optimal level of accounts receivable. Using of the method of approximation of the non-linear dependence of receivables on the credit period, which was initiated by O. I. Luchkov, has been substantiated. The principles of the methodics have been defined, its modification and clarification have been proposed in the direction of the development of methods for calculating the numerical values of all components of the model in the article. This method allows the obtaining the optimal term of the credit period in days and the optimal amount of receivables in monetary terms.
 Model experiment has been executed to test the model's operation, during which data from the financial statements of one of the operating enterprises have been used. The obtained results testify to the effectiveness and correctness of the proposed methodics are served as an information basis for management decisions regarding the assessment of the effectiveness of measures to manage the company's financial policy.
 The software module has been developed that, based on the results of certain calculations, allows to make quick and well-founded decisions about balancing the structure of assets and liabilities in order to restore financial stability and increase profits.

РЕАЛИЗАЦИЯ ЭФФЕКТИВНОГО МЕТОДА ТЕХНИЧЕСКОГО АНАЛИЗА ДЛЯ ОПРЕДЕЛЕНИЯ ТРЕНДА РЫНКА НА ПЛАТФОРМЕ METATRADER 5

The article discusses the possibilities of using effective methods of technical analysis to determinethe trend direction of financial assets on the multi-market platform MetaTrader 5.The advantages and expediency of using technical analysis methods in various areas of financialmarkets are shown by examples of works by Russian and foreign authors. In order to determinethe direction and strength of the trend, the insufficiency of the use of such technical indicators asBollinger bands (BB), MACD, MA, EMA, constructed according to various laws of the distributionof prices of financial assets, is justified. Graphical analysis tools are considered as a special caseof technical analysis, characterized by special visibility and visualization of the process understudy. The article provides examples of technical analysis figures, shows them to belong to thebasic types of graphical analysis. The concept of a modern trading strategy – innovative trading isconsidered, a comparative analysis of the trading strategy, its opportunities and risks is carriedout. The paper describes the developed software module in the form of a trading indicator on theMetaTrader 5 platform in Meta Quotes Language 5 (MQL5) in combination with a script in thehigh-level Python language for algotrading using technical analysis methods. The indicator isbased on the construction of support and resistance lines to determine the direction and strengthof the trend. An algorithm for determining the direction and strength of the trend with technicalanalysis tools has been developed, which as a result will improve the accuracy of the trend directionforecast by integrating a technical indicator into the system. For the experimental part of theprocess, a financial instrument was used – the EUR/USD currency pair, the total study period wassix months. As a result, the algorithm worked correctly in real time without human intervention fortwenty-four weeks. Based on the test results, it is possible to judge the prospects of research in thisarea for solving a large range of applied problems of financial mathematics and analytics.The application of the created indicator can be extended to any trading operations on variousfinancial instruments and their combinations.

АВТОМАТИЗАЦИЯ РАСЧЕТА ТЕПЛОПОТЕРЬ ЧЕРЕЗ ГОРИЗОНТАЛЬНЫЕ НАРУЖНЫЕ ОГРАЖДАЮЩИЕ КОНСТРУКЦИИ С РАЗБИВКОЙ ПОЛА ПОМЕЩЕНИЯ НА ЗОНЫ

Introduction: The calculation of heat loss of the room is a mandatory part of any project. Most of the information required for calculations is present in the building information model and can be extracted from it automatically. An example that requires the transformation of digital model information is the task of constructing room zones when calculating heat loss through the floor. Existing software products do not have modules that allow you to automatically calculate the heat loss of a room, including through the floor, breaking it down into zones. The object displacement functions built into the software products are not intended for constructing floor zones and cannot be used as a component of the developed module. These reasons determine the need to develop an algorithm for constructing zones that are necessary for calculating heat loss through the floor, and its implementation.
 Materials and methods: An algorithm for the formation of floor zones of a room is presented. The algorithm allows you to build zones for placing an arbitrary layout.
 Results: A plug-in for Autodesk Revit, which implements the proposed algorithm, was tested on the calculation of heat losses in the rooms of the technical floor of the building. As a result of the experiment, a reduction in the time required for the preparation of the initial information and for the calculation, from 4 hours to 2 minutes, was revealed.
 Conclusions: The developed software module, designed to calculate the heat loss of premises through the floor of premises, broken down into zones, is a step in the development of software products that use a digital building model as initial information.

Visualization of algorithms on graphs with a large number of vertices: The features of applications design

The task of visualization of large graphs as a special data structure and algorithms on them is considered by scientists and practitioners as a complex and non-trivial problem. The analysis of scientific works and existing software applications that implement similar functions of the subject domain testifies the relevance of expanding exploration in the lines of identifying the features of the development of applications for the visualization of large graphs and algorithms on them. The formulation of features and recommendations for the development of such software and presentation of the software module designed by the authors is the aim of the article. In the course of the work, the main features of the development of a program for the visualization of graphs with a large number of vertices were identified and formulated using methods of analysis and graph theory. Special recommendations on the essence of each of the stages of development of such applications were provided and those steps that are most important for developers in terms of the complexity of processing and visualization of large graphs, metrics of their layout in the application screen, etc. were identified. A software module developed by the authors, that provides a unified application programming interface for visualizing any algorithm on graphs, which allows to save time working on utility software and focus more on solving algorithmic problems is also presented. The presented module was developed by the authors taking into account the identified recommendations. A comparative analysis of the developed software module and analogues was carried out, which proved the extended functionality of the module for the visualization of graphs with a large number of vertices. The module is a practically valuable tool for data structures researchers and other experts working on graph algorithms, since it enables data visualization at debugging software and simplifies the analysis of large data structures

Development and implementation of a heart failure telemonitoring system: the single centre experience

Aim To evaluate the efficacy of remote monitoring by the compliance with body weight control and drug therapy in patients with CHF, using a specially developed software module for chronic heart failure (CHF) monitoring.Material and methods During 2018-2020, 79 patients with dilated cardiomyopathy (mean age, 36.1 [34.2; 38.4] years) and NYHA II-IV functional class CHF were included in the outpatient telemonitoring (TM) program.Results The duration of monitoring was 965 [768; 1065] days. During the monitoring time, the compliance with outpatient body weight control significantly improved: 73.3 [70; 80] % at baseline vs. 86.7 [76.7; 86.7] % at the end of the 31st month (p<0.001). The proportion of patients measuring their body weight at least 6 times a week significantly increased: 8.9 % at baseline vs. 58.1 % by the end of the monitoring (p<0.001). There was no significant association between the time-related changes in the compliance with body weight control and drug therapy and the patient's gender. In addition, during long-term TM, a small but statistically significant increase in left ventricular ejection fraction was noted (36.3 [35.5; 37.2] % at baseline vs. 37.2 [35.8; 38.3] % at the end of monitoring; p=0.0008). The involvement of staff physicians in the remote correction of therapy for CHF decreased during the study: the number of system notifications that required a physician's response reduced over two years from 26.6 to 13 % (p=0.011).Conclusion Participation of patients with dilated cardiomyopathy and CHF in the structured TM program was associated with a significant increase in the compliance with regular self-control of body weight and drug therapy for heart failure.