Olha Svynchuk

With the development of industry, the issue of environmental safety of countries worldwide has become increasingly acute. Currently, there is a deficiency of information systems capable of effectively and comprehensively informing the public about the state of the environment, analyzing the dynamics of environmental indicators, and assessing regional disparities in terms of environmental safety. The objective of this study is to develop an information system for monitoring the environmental condition of a country's territory based on geoinformation technologies, considering emissions of pollutants. This system is conceived as a multi-regional monitoring system focused on industrial areas. It incorporates a geo-module for user location determination and data representation tailored to the user's location. Additionally, the system regularly updates information on hazardous enterprises and notifies the population in case of emergencies.

Автоматизовані системи планування навчального процесу давно стали необхідним інструментом для ефективного управління діяльністю навчальних закладів. У роботі розглядається створення системи автоматизованого планування навчального процесу для контингенту кафедри. Системою можуть користуватись викладачі, студенти, яким потрібно виконувати різного роду завдання, батьки студентів. Але загальною задачею є організація навчального процесу. Система спрямована на автоматизацію завдань, забезпечення швидкого доступу до необхідної інформації та полегшення взаємодії між різними учасниками навчального процесу. Метою роботи є створення автоматизованої системи організації навчального процесу на кафедрі для полегшення щоденної навчальної роботи студентів та викладачів, а також для контролю навчання неповнолітніх студентів батьками. Дана система буде вчасно інформувати користувачів про заплановані події та їхні результати. Система спрямована на забезпечення прозорого сприйняття навчального процесу усіма його субʼєктами. Вона була ретельно спроектована для виконання базових задач. Серед них: створення нотаток, завдань, виставлення оцінок та системи сповіщень, яка повʼязує між собою освітні процеси та інформує користувачів про їх виконання. При створені системи були враховані фактори безпеки та захисту даних, спроектовано базу даних, для якої написані запити, що швидко дістають інформацію та відображають її. Система направлена на конкретного користувачах та створювалась суто для потреб факультету, або навіть і кафедри. Це дозволяє підключити багато ресурсів, що стосуються конкретного університету. А також додати застосунок в загальну систему університету, що відкриває більше можливостей для її функціональності. Ключові слова: інформаційна система, навчальний процес, кафедра, контролер, представлення, модель даних, інтерфейс, бази даних. Automated educational process planning systems have long become a necessary tool for effective management of educational institutions. The work considers the creation of a system of automated planning of the educational process for the contingent of the department. The system can be used by teachers, students who need to perform various tasks, and parents of students. But the general task is the organization of the educational process. The system is aimed at automating tasks, providing quick access to the necessary information and facilitating interaction between various participants of the educational process. The purpose of the work is to create an automated system for organizing the educational process at the department to facilitate the daily educational work of students and teachers, as well as to monitor the education of minor students by their parents. This system will timely inform users about planned events and their results. The system is aimed at ensuring a transparent perception of the educational process by all its subjects. It was carefully designed to perform basic tasks. Among them: the creation of notes, tasks, the setting of grades and a notification system that links educational processes together and informs users about their completion. When creating the system, safety and data protection factors were taken into account, a database was designed for which queries were written that quickly retrieve information and display it. The system is aimed at specific users and was created purely for the needs of the faculty, or even the department. This allows you to connect many resources related to a particular university. And also to add the application to the general system of the university, which opens up more opportunities for its functionality. Keywords: information system, educational process, department, controller, representation, data model, interface, databases.

Monitoring of the forests with the help of remote sensing of the Earth systems is actual on the present stage of people development. Existing systems of research do not allow to use geographic information databases and don't include the spectrum of exploration that are presented in our work. The aim of this article is to develop the method of identification of tree species composition of forests on the basis of geographic information database in the integration with correlation analysis. It will give the possibility to find the most negative things that influence on the condition of forest ecosystems and neutralize them at the first stage of their influence. Satellite images that are received from the satellites Landsat 5 and 8 are used to make the database. Tree species composition of Mozhariv forest during 20 years is analyzed as an example in this article. Classification of tree species composition of forests using space images is made on the basis of Bayes classifier. There is a special geographic information database for further data processing and identification of tree species composition is developed. Forest is analyzed on the number of trees in each species during continuous time measures (in 2000, 2010 and 2020) in this article. Results of the work are presented with the help of graphics. Correlation analysis, which helps to make the analysis of tightness of connections between changes trees in number and different forest criteria, is made to identify tree species composition of forest. Developed method together with well-known methods of monitoring of forests help us to make effective application for analysis of tree species composition of forest changes and to make better existing information systems including different quality demands. Peculiarity of developed information system is in using of the data processing module as a part of geographic information system and implementing correlation analysis with identification of factors that influence each other. It helps to increase quality in management and monitoring of forest resources. Geographic information becomes available for users.

This study considers the issue of assessing the time changes in forest plantations and constructing an algorithmic and software system for monitoring these changes. Modern systems that study vegetation changes do not have the necessary functionality and do not cover the range of observations discussed in this paper. Existing research methods are intended only to record changes that occur in forest ecosystems and take into consideration the peculiarities of a certain natural zone, which limits their use. At the same time, it should be understood that the requirements for modern systems should include additional components that could make the system universal and mobile. A comparative analysis of satellite images acquired from remote sensing by the Landsat 8 satellite system has been carried out to determine the areas affected by forest fires. During the classification, spectral analysis was used, and an index of fires was determined to indicate the burned areas. To analyze the changes that occur in forests due to fires, correlation-regression analysis is used. It has been proven that the area of sanitary felling after fires and the area of forest land traversed by fires demonstrated the greatest interconnection. The extrapolation and forecasting were carried out using a regression data model, the effectiveness of which is confirmed by a coefficient of determination of 0.87. The dependences built make it possible to conclude that by 2030 the number of forest fires will increase while the area of burned forests will not decrease. The developed mobile application could be popular among a significant group of users to monitor fire events. The practical result is the introduction of the built system, which makes it possible to quickly monitor forest plantations after fires and assess the areas that were affected.

The rapid growth of geographic information technologies in the field of processing and analysis of spatial data has led to a significant increase in the role of geographic information systems in various fields of human activity. However, solving complex problems requires the use of large amounts of spatial data, efficient storage of data on on-board recording media and their transmission via communication channels. This leads to the need to create new effective methods of compression and data transmission of remote sensing of the Earth. The possibility of using fractal functions for image processing, which were transmitted via the satellite radio channel of a spacecraft, is considered. The information obtained by such a system is presented in the form of aerospace images that need to be processed and analyzed in order to obtain information about the objects that are displayed. An algorithm for constructing image encoding–decoding using a class of continuous functions that depend on a finite set of parameters and have fractal properties is investigated. The mathematical model used in fractal image compression is called a system of iterative functions. The encoding process is time consuming because it performs a large number of transformations and mathematical calculations. However, due to this, a high degree of image compression is achieved. This class of functions has an interesting property—knowing the initial sets of numbers, we can easily calculate the value of the function, but when the values of the function are known, it is very difficult to return the initial set of values, because there are a huge number of such combinations. Therefore, in order to de-encode the image, it is necessary to know fractal codes that will help to restore the raster image.

Our paper describes the methodology of an effective system construction based on information systems self-diagnosis using the case of Ukrainian enterprises in metallurgy, energy, and chemical industry. It describes the method of organization and implementation of self-diagnosis, mechanisms of detection, as well as the identification and localization of failed modules. The results formulate the criteria of sufficiency of efficiency of diagnostic information in the absence of restrictions on performance of elementary checks. Moreover, it yields the criterion of sufficiency of diagnostic information in the presence of restrictions on performance of elementary checks.

In the process of detecting and recognizing a digital radio signal, a topical issue is increasing noise immunity. The features of the use of low frequency filters with quadratic and linear response dependence on the input signal are investigated in the article. It is shown that the principle of operation of filters is that the summation process is performed. In this case, the useful signal is summed up coherently and the interference signal is incoherent, ie, the useful signal increases and the interference signal decreases. The filtration process is simulated at different correlation coefficients. This confirmed the possibility of isolating the signal of the means of silent receiving of information by the method of determining the two-dimensional density of the likelihood of interference signal against the background of the common signal. It is proved that the use in the process of signal processing of narrow-banded filters of low frequency allows to increase the noise immunity of the system of detection and recognition of digital radio air signals by 23 %.