The article analyses the share of press service materials as primary sources of information in the news content of regional online media, as well as the indirect impact of the tendency to republish such materials on the development of the contemporary media environment and journalists’ professional expertise. The article is based on a content analysis of regional online media outlets Dyvys.info and Tvoe Misto.
The article examines the security of microservice architectures in the context of common vulnerabilities that arise in distributed systems. The authors analyze the essence of the microservice approach, which, despite its advantages in scalability and flexibility, introduces new challenges in the field of cybersecurity. The main focus is on issues of access management, network configuration, and data protection during transmission between services, which can create additional attack vectors.
Purpose: Ensuring the operation of a monitoring mechanism for the use of tactical planning methods within the system of circular business models of enterprises facilitates effective resource management, waste minimization, and supports sustainable development. The formation of well-founded strategic and tactical decisions in this context is based on effective planning methods, monitoring of key performance indicators, identification of trends and changes, uncovering interconnections and patterns, etc.
This paper proposes a novel architecture of a multi-agent system and its formal specification for analyzing and adaptively correcting students' learning trajectories using software agents in digital learning environments. The proposed approach integrates artificial intelligence tools, tem- poral logic, and a multi-agent system architecture to ensure personalized adaptation of educational content.
The article is devoted to the study of the automation of management processes of information and communication networks using network programming tools. The work substantiates the relevance of automation as a key direction in the development of modern information and communication systems, driven by the growth in traffic volumes and the complexity of network architecture. It is shown that automation allows for increasing operational efficiency, reducing task execution time, and minimizing the human factor.
Objective. The aim of the study was to test the technology for detecting changes in agricultural landscapes using Sentinel-2 satellite imagery and Google Earth Engine (GEE) tools on the example of the Zhovkva Territorial Community in Lviv region. The main objective was to identify land cover changes over the period 2017–2024 and determine their scale and trends. The study was conducted considering the need for land use monitoring and land cover dynamics, which are important for sustainable rural development. Methods.
The impact of hazardous substances on working conditions in the energy sector, where in addition to physical microclimate indicators there is thermal radiation, gas emissions, vapors, metal dust, and radioactive materials, leads to risks to air quality in industrial premises. A decrease in air quality can result in the deterioration of workers health and the development of chronic diseases. This work demonstrates the need for a comprehensive approach to monitoring air quality in the working area of industrial premises with installed electrical distribution devices.
The article describes the process and results of developing a model for assessing the risk and causes of extinction of rare fauna species in the reserves of the western part of Ukraine, considering specific environmental conditions of the region. An information model of the system has been developed, which includes the collection of data from GPS devices and mapping resources to create an interactive map with population indicators.
The article is devoted to the development of an automated care system for indoor plants based on the use of an Arduino microcontroller and IoT technologies. The system contains soil moisture, temperature, and light sensors that monitor the main environmental parameters for effective plant care. The structural and schematic diagrams and algorithm of the system were developed. A prototype of the system was implemented. The prototype of the system was tested in real conditions, which confirmed the correctness of the decisions made, as well as the efficiency and usability of the system.
Noise pollution is a significant environmental and social problem for rail transport and urban areas. This paper describes an approach to noise monitoring based on the integration of artificial intelligence (AI) and machine learning (ML) into acoustic data collection and analysis systems. The SVAN 958A spectral analyzer was used as the measuring equipment, which allows obtaining accurate noise data in real time.