Using Algorithmic Modeling to Control User Access Based on Functioning Table

Kabulov, Anvar; Saymanov, Islambek; Yarashov, Inomjon; Karimov, A.

doi:10.1109/iemtronics55184.2022.9795850

Cited by 18 publications

(1 citation statement)

References 31 publications

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“…The purpose of the research in this article is to develop effective object recognition methods to solve the identification problem in the IoT ecosystem of the Aral region. The objective of the research is to develop correct recognition algorithms based on an algebraic approach in solving the problem of identifying [11][12][13][14][15] the flow of information in the IoT ecosystem of the Aral region, which is described in detail in work [15] of the authors of this paper.…”

Section: Introductionmentioning

confidence: 99%

Algebraic Recognition Approach in IoT Ecosystem

Kabulov,

Saymanov,

Babadjanov

et al. 2024

Mathematics

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The solution to the problem of identifying objects in the IoT ecosystem of the Aral region is analyzed. The problem of constructing a correct algorithm with linear closure operators of a model for calculating estimates for identifying objects in the IoT ecosystem of the Aral region is considered. An algorithm operator is developed, which is considered correct for the problem Z, is the sum of q operators of the assessment calculation model, and is described by a set of numerical parameters 3·n·m·q, where n is the number of specified features, m is the number of reference objects, and q is the set of recognized objects. Within the framework of the algebraic approach, several variants of linear combinations of recognition operators are constructed, the use of which gives the correct answer on the control material, and this is proven in the form of theorems. The constructed correct recognition algorithms, which are the easiest to use, where there is no optimization procedure, make it possible to quickly solve the issue of identifying incoming information flows in the IoT ecosystem of the Aral region.

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