The paper proposes a methodological approach and software for managing information processes in systems for modeling natural objects on the example of a system for operational forecasting of fl oods. The proposed approach is based on application of cyber-physical systems, the industrial Internet and fog computing concepts. The results of testing the technologies for managing information processes demonstrate increasing both reliability of modeling and effi ciency of using the fl ood forecasting system computing resources.

The paper describes an architecture and examples of information technologies and systems implementation for automating interdisciplinary projects accomplishment and creating thematic services that require utilizing Earth remote sensing data. It is proposed using approaches based on a service-oriented architecture, web services technologies, and technologies based on the Business Process Execution Language to organize the interaction of system components. Testing results show that the proposed approaches ensure achieving maximum automation of systems running, high reliability of the results, and user friendliness.

The tourism industry has grown rapidly in recent years, and IT technology is also having a big impact on tourists. Tourism services, information generated by tourists and other sources can be used to build models of tourist behavior. These models can improve the travel experience in various ways. The author presents the system for analyzing tourist behavior based on the concept of a digital pattern of life. The system determines the tourist, possible data sources, ways of storing and presenting data, as well as tools for analyzing behavior. The author used artifi cial neural networks to analyze behavior from a dataset of tourist travels made with cars. One scenario of tourist behavior using artifi cial neural networks is presented. The collected results will be used for improving tourist services.