обробка даних

MAP OF STATE OR CURRENT SITUATION DISPLAY FOR THE DISTRIBUTED ACOUSTIC SENSOR SYSTEM

The research focuses on creating software for an interactive map that displays the air environment based on data collected from a distributed system of acoustic sensors. This development aims to enhance Ukraine's defense capabilities in wartime and opens prospects for further research in this field. The map allows operators to analyze information about the movement of air targets in real time, which is important for making quick and informed decisions in the field of defense and security.

AI/ML INTEGRATION INTO NOISE POLLUTION MONITORING SYSTEMS FOR RAIL TRANSPORT AND SMART CITIES

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.

APPLICATION OF SERVERLESS SYSTEMS FOR PROCESSING METROLOGICAL METADATA IN IOT

The article investigates the potential of serverless architectures for efficiently processing large-scale metadata generated by Internet of Things (IoT) sensors. As IoT systems grow increasingly complex, the challenges associated with processing vast amounts of data in distributed environments become more pronounced. Key issues include ensuring data accuracy, maintaining scalability, and reducing the operational costs of data processing infrastructure.