This research presents the development and implementation of information technology for monitoring and analyzing segments of a mobile operator's stores using clustering methods. The study addresses a pertinent issue in marketing and business optimization, namely the enhancement of strategies for the network of mobile communication stores.
The increasing demand for precision agriculture has prompted the integration of advanced technologies to optimize agricultural practices. This article presents an approach to agricultural field data processing using a cloud-based data pipeline. The system leverages data from various sensors deployed in the fields to collect real-time information on key parameters such as soil moisture, temperature, humidity, etc. The collected data is transmitted to the cloud where it undergoes a series of data processing and analysis stages.
The paper deals with the urgent issue of improving the professional software for text statistical analysis in accordance with the needs of specialists. Peculiarities and prospects of statistical research in linguistics are analyzed and information technology (IT) for determining the statistical profile of Ukrainian-language texts is developed. Complex work on modelling the software system was carried out, it was presented in the corresponding schemes and diagrams, which integrally reflect the functioning and purpose of the developed product.
The basic system structures of synthesis of complex computer systems for the implementation of information-analytical systems in real time are studied in this paper. Namely hardware-based video streaming method, the method of determining the classes of functions that allow parallelization and the method of synthesis of parallel data processing are described.
It is analyzed and shown that the cognitive structure of the individual incorporates immanent temporal layer and owing to it a person is capable of constructive orientation in the temporal space when making active decisions in dangerous conditions.