V.N. Ruchkin1, B.V. Kostrov2, V.A. Fulin3, E.V. Ruchkina4

1, 3 Ryazan State University n. a. C.A. Esenin (Ryazan, Russia) 

2 Ryazan State Radio-Engineering University n. a. V.F. Utkin (Ryazan, Russia)

4 Ryazan State Agrotechnological University named after P. A. Kostychev (Ryazan, Russia)

This article discusses a set-theoretic approach to conceptual design of hardware and software for neuroprocessing cyber-physical systems (CPS), including the Internet of Things (IoT) and Industrial Internet of Things (IIoT), in a unified vein and complex, closely interacting tools. It is worth noting that any design, creation and implementation of CPS, IoT and IIoT requires solving a number of problems: obtaining high complexity of implementation with ultra-high requirements, identifying parallelism and heterogeneity of applications, distributing intelligence and computing resources that are insufficient to solve more complex problems in the IoT and IIoT hierarchy. Based on this, it is important to note that modern complex applications must provide versatility, scalability, sufficient performance and / or ultra-low power consumption. Thus, in order to meet the increasing requirements mentioned above, the authors propose to use heterogeneous computing platforms, designing processors with a parallel microarchitecture and using various types of parallelism for specific applications. The approach proposed by the authors allows the initial set of algorithms for processing various kinds of information, algorithms based on the theory of equivalence, to be divided into subsets of disjoint subsets-clusters and formalized processing structures in the form of one of the typical knowledge models – a frame form for designing an expert system for choosing options for structural organization by technical parameters according to the conceptual models. An experimental example of the developed conceptual model is the analysis of algorithms for monitoring natural and man-made emergencies or monitoring forest fires and the description of the user interface of the expert system based on the MS 127.05 module – a heterogeneous multicore system on a K1879VM8Ya on crystal.

Ruchkin V.N., Kostrov B.V., Fulin V.A., Ruchkina E.V. The conceptual design of hard – soft wares of neuroprocessing cyber-physical systems. Dynamics of complex systems. 2022. V. 16. № 3. P. 5−13. DOI: 10.18127/j19997493-202203-01 (in Russian)

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