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Full-Text Articles in Controls and Control Theory
A Study Of Security Problems In Big Data And Their Solutions, Nozima Akhmedova
A Study Of Security Problems In Big Data And Their Solutions, Nozima Akhmedova
Chemical Technology, Control and Management
Statistical data on information security that concerns Big Data and is the most important for enterprises are provided. Based on this data, we studied problems such as the lack of big data practices and protection, the lack of techniques for protecting big data, the lack of standards for protecting big data, the lack of regulation of big data and ecosystems, security problems in Big Data, and proposed several proposals to improve the security of systems that use this technology.
Identification Of Transition Matrix Of Controlled Objects Under Parametric Uncertainty Condition, Uktam Farkhodovich Mamirov
Identification Of Transition Matrix Of Controlled Objects Under Parametric Uncertainty Condition, Uktam Farkhodovich Mamirov
Chemical Technology, Control and Management
The questions of formation and construction of algorithms for identification of elements of the transition matrix of controlled objects in conditions of parametric uncertainty are considered. To identify elements of the transition matrix, we suggest using a custom model based on the type of Kalman filtration equations. Algorithms for stable calculation of a pseudo-inverse matrix using matrix decomposition are analyzed. Regular algorithms for solving argumentative problems of minimization of the identification quality criterion are given. These algorithms allow us to regularize the problem of adaptive identification of the transition matrix of an object based on regular methods for minimizing functionals …
Importance Of Morphological Features In Orthoptera Identification, Kamilov Mirzoyan, Alisher Khamroev, Hudayberdiev Mirzaakbar
Importance Of Morphological Features In Orthoptera Identification, Kamilov Mirzoyan, Alisher Khamroev, Hudayberdiev Mirzaakbar
Chemical Technology, Control and Management
This article analyzes the problems of implementing image recognition methods and algorithms for identifying biological objects. The Orthoptera group was chosen as a biological object. Orthoptera is a taxonomic order of insects that includes grasshoppers, crickets, locusts, and others. Approaches to the formation and identification of features of Orthoptera species and the formation of training and control samples of their samples are proposed. Estimation algorithms (ACE) were chosen as algorithmic support for identifying Orthoptera collections. ACE is based on the principle of partial priority. Approaches to the formation of a training and testing complex based on the data from the …