розумне місто

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.

Modeling of Passenger Flows Analysis System of Low-carbon Transportation in a Smart City

The paper examines the impact of the increase in passenger traffic in public transport on environmental pollution, as well as the search for ways to reduce emissions of carbon-containing compounds caused by the growth of the planet’s population, the number of vehicles that transport them, and the amount of emissions that these vehicles generate. The object of research is the system of passenger transportation in a smart city.

Analytical Review of Data Lakes and Perspectives of Application in the Field of Education

An analytical review of the development of Data Lakes and its application in various industries, as part of Big data concept solutions, was conducted. The available standard architectural solutions for the Data Lake organization are considered. Also, specialized areas that require different or additional aspects to solve the tasks, depending on the field of Data Lake use, are taken into account. For the proper organization of Data Lake, various data processing tools are used, including distributed data storage systems, semantic networks, and especially metadata.

EMBEDDED IOT PLATFORM FOR REMOTE TRAFFIC CONTROL IN SMART CITY IOT INFRASTRUCTURE

A justified hybrid multilevel approach to IoT infrastructure implementation is set to facilitate the achievement of a scalable IoT (Internet of Things) infrastructure, incorporating integration into cloud technologies and services. The localization of hardware-software traffic management means at the lower level of the IoT infrastructure, close to data collection devices, ensures the generation of control influences in real-time, and relieves communication channels at the higher levels of the IoT infrastructure architecture.

Information system prototype for monitoring and content analysis of complaints from smart city residents

One of the current computerization trends is the active development of “smart city” or “Smart city” technologies, in particular, the support of administrative e-services, the development of transport systems, the use of ecologically clean energy sources, the development of ecology, the modernization of the city’s digital equipment, in an improved state. life in the city, completion of all processes of the city infrastructure. All this complex of works is as accessible as possible with the correct use of “Smart city” technology. Smart cities contribute to sustainable development.

Mobile Information System for Monitoring the Spread of Viruses in Smart Cities

The concept of creating a multi-level mobile personalized system for fighting viral diseases, in particular Covid-19, was developed. Using the integration of the Internet of Things, Cloud Computing and Big Data technologies, the system involves a combination of two architectures: client-server and publication-subscription. The advantage of the system is the permanent help with viral diseases, namely on communication, information, and medical stages.