information system

The article explores the development and implementation of an automated system for constructing professionograms of artificial intelligence (AI) specialists using modern information technologies. Against the backdrop of an ever-evolving digital economy and rising demand for qualified AI professionals, the study highlights the need for accurate and scalable tools to identify and assess relevant competencies.

The article describes the issues of designing an information monitoring system for assessing the ecological state of the reserve territory. An information model of the system has been developed taking into account the parameters of the state of air, surface water, and soil in the "Roztochchya" nature reserve; in particular, attention is focused on the features of the biological diversity of the Vereshchytsky and Stavchansky branches of the reserve.

The research is aimed at developing a test survey for the effective selection of specialists in the IT field, based on the use of modern machine learning methods, particularly cluster analysis using the k- means method. Given the limited access to existing testing platforms, which are typically available only to large companies on a paid basis, the decision was made to create an alternative web application. This application will become an accessible tool for a wider range of users and will allow automating the process of evaluating candidates' skills.

The article describes the problem of data personalization by identifying the individual characteristics necessary to solve the personalization problem. The essence of the researched problem of personalization and the solution of tasks of the estimated correlation between individual characteristics and the solution using the forecasting model has been also highlighted.

This paper presents the outcomes of an experimental investigation into the equivalent noise levels of selected streets in Lviv according to varying times of day. Empirical mathematical models, formulated from the experimental data, provide a method to predict noise levels based on the time of day. In addition, the study includes the development of an information system. This system allows analysis of the changes in equivalent noise levels attributable to traffic flows at different times of day.

The article is dedicated to analyzing the processes of developing interfaces for the ‘Smart Home’ information system using the persona method. The integration of ‘smart’ technologies into the everyday environment of modern society plays a crucial role. However, the successful implementation of the information technology concept of ‘Smart Home’ significantly depends on the  efficiency and convenience of interfaces that facilitate interaction between the comprehensive information system and various user groups.

In recent years, the popularity of information technologies, their role and degree of use in many areas, in particular in the field of education, has been growing. The implementation of digital educational tools in the educational process allows to increase its flexibility, to apply more individual approaches to the education seekers and to encourage them to self-improvement.

Розглянуто основні підходи до описування та створення екоінформаційних систем на основі дискретних моделей та інформаційно-комп’ютерних технологій.

The paper describes the main approaches to the development of systems based on ekoinformation discrete models and computer technology.

The article analyzes the features of the development of a complex information system called Smart Household, aimed at automating and improving the implementation of a wide variety of functions in a multi-disciplinary modern household, in particular, such as care for domestic animals, a garden, home territory, etc. The use of an effective mobile interface in this kind of system will allow household owners to monitor and control remotely a lot of useful functions using a mobile phone or a tablet.

A typical standard architecture of the support system has been proposed, making decisions on forming and implementing solutions based on cross-programming and heavy calculations and similar functional capabilities before it. The technology for disaggregating such systems on the basis of cross- programming and efficient calculations, as well as reducing costs/hours/resources for disaggregation, promotion and support of such support systems to support the adoption of a solution, has also been proposed.