Інтернет речей (IoT)

The article analyzes the methods and tools for designing embedded Internet of Things (IoT) systems. The main stages of developing IoT systems are considered, the main design approaches are compared, and their advantages and limitations are identified. The analysis of hardware platforms, their characteristics, performance, energy efficiency, and applications in various fields is conducted. Considered Software tools and their effectiveness in developing IoT solutions.

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.