The Production Process as a Complex Cyber-Physical System of Relations

Chervyakov, Leonid M.; Sheptunov, Sergey A.; Alexandrov, Islam A.; Bychkova, Natalia A.; Yakhutlov, Martin M.

doi:10.1109/itqmis53292.2021.9642739

Cited by 7 publications

(1 citation statement)

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“…The radical changes in the information sphere at the global level that we are now observing in society are occurring through the rapid development and dissemination of new information and communication technologies [21], [22]. If earlier the development of information and communication technologies proceeded toward a well-defined specialization and differentiation, today, the primary condition for their development is the possibility of their universal use [23], [24]. Currently, information and communication technologies can be considered a leading factor in the organization of production and business processes [25], education [26], the interaction of the subjects of society (state, organizations, population), leisure activities, and obtaining knowledge, information, and services.…”

Section: Introductionmentioning

confidence: 99%

Prospects for developing digital telecommunication complexes for storing and analyzing media data

et al. 2023

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In today's digital world, saturated with data flows, universal multifunctional systems are developing, capable of solving various problems related to optimizing the use of available computing resources. A distinctive feature of such systems is the heterogeneity of incoming flows of user requests due to the multifunctionality of modern information systems, expressed in supporting various multimedia services on a single platform. Data heterogeneity and large volumes of data create many problems related to the speed of digital systems and data storage security. The solutions can be found in artificial intelligence (AI) technologies, particularly machine learning. Therefore, development and implementation of digital telecommunication complexes for storing, processing, and forming a dynamic flow of multiformat data using AI technologies are becoming more relevant. This paper aims to identify trends and prospects for developing these complexes, and develop proposals on their perspective characteristics. The authors focused on review the experience of Russian organizations developing multi-object analytics systems and analyze the technical and functional characteristics of existing systems. The result of the review and analysis is a table with a comparison of the technical characteristics of existing complexes and proposals for characteristics that are promising for further implementation.

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