Mr. Valery S. Dadykin Profile

Valery S. Dadykin

at Bryansk State Technical University

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Publications (3)

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Proceedings Article | 27 April 2023 Paper

Methodological aspects of estimating the prospects of subsoil plots through ontological engineering

V. Dadykin, O. Dadykina, T. Geraschenkova, V. Skantsev

Proceedings Volume 12637, 1263716 (2023) https://doi.org/10.1117/12.2681311

KEYWORDS: Minerals, Engineering, Raw materials, Data modeling, Mining, Modeling, Mathematical modeling, Materials properties, Databases, Process modeling

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Estimating the prognostic potential is also based on evaluating the geological potential, taking into account the available geological and economic information on this territory and the existing need for relevant resources. Thus, to make a decision on investing in further exploration on promising subsoil areas, it is necessary to consider a significant number of factors and their corresponding indicators. In such situations, it is customary to use knowledge bases built upon ontological engineering. As a result, it becomes possible to implement the obtained ontological model having a set of geological and economic parameters for estimating expected resources with the integration of the mathematical apparatus of fuzzy logic and set theory. Thus, the authors have considered the methodological aspects of estimating the prospects of the subsoil plots through ontological engineering of geological exploration, taking into account their features, based on using a knowledge base containing a thesaurus of geological and economic indicators by the exploration process stages. The links of geological and economic indicators as part of the subject area thesaurus are determined in order to build an ontological model, which makes it possible to perform factorial economic analysis. The actual evaluation of indicators as part of the thesaurus of the geological and economic assessment of the geological exploration results allows one to characterise the state of the study object and to proceed to estimating the volume of mining commodity output, according to the requirements of the individual territory, region, state (taking into account the volume of exports and imports) of mineral raw materials.

Proceedings Article | 27 April 2023 Paper

Instructional aspects of ranking subsurface areas according to their prospects, based on the use of fuzzy logic

V. Dadykin, O. Dadykina

Proceedings Volume 12637, 126370K (2023) https://doi.org/10.1117/12.2680690

KEYWORDS: Fuzzy logic, Raw materials, Minerals, Fuzzy systems, Mining, Materials properties, MATLAB, Industrial applications, Visualization, Visual process modeling

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Currently, in financing cases concerning state-run mineral resources base reproduction, especially in terms of identifying forecast resources, and in some cases regarding the category of reserves C2, there is an urgent need to develop ranking techniques for subsurface allotments according to their prospects. In such situations, the use of fuzzy logic models will allow formalizing and automating integral estimation calculation of subsurface allotments for the purposes of their ranking. Therefore, the purpose of this work is to develop instructional aspects of ranking subsurface allotments according to prospects based on the use of fuzzy logic. Resulting from the application of this technique it was possible to perform an aggregated assessment of subsurface areas on the territory of the Bryansk region according to geological reports for the period of 2010-2020. The subsurface areas, being subsequently recognized as prospects, were introduced into the model with their expert assessments for this period of work. Thus, we have initiated a methodology for ranking subsurface areas according to their prospects based on the use of fuzzy logic. It provides for the use of the specified production rules to perform the ranking of subsurface allotments taking into account the prospects. Production rules should cover all possible combinations of expert assessments in confidential intervals. Besides, within the implementing techniques it is required to compare subsurface allotments in terms of fuzzy estimates and also clear mathematical sets. This operation is implemented programmatically (Mamdani algorithm) by performing sequential phasification – defasification operations in the Fuzzy logic component of the Matlab software product.

Proceedings Article | 18 May 2022 Paper

Artificial intelligence based on ontology to support decision-making in personnel management

V. Dadykin, V. Khvostov, R. Kamozin

Proceedings Volume 12251, 122510M (2022) https://doi.org/10.1117/12.2631305

KEYWORDS: Standards development, Process control, Artificial intelligence, Control systems, Visualization, Reliability, Mechanics, Manufacturing, Information technology, Human-machine interfaces

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Suggestions on the application of an ontological approach to personnel management are provided. Notably, two criteria are used as an assessment of workforce capacity: on the one hand, it is a possibility of successful life cycle maintainability of products and services due to the skills of personnel performing all necessary labor actions, and on the other hand, personnel meeting qualifying requirements of the occupational standards.If the first is mainly aimed at performing the technological operations currently existing at the enterprise, then the second, based on the knowledge and skills of the staff, intended for the development of technology, improving the reliability and efficiency of products and services.Using the example of personnel providing the life processes of automation systems for technological processes of the main industrial pumping, the structure of the ontology is proposed, where besides activities of doing some or other of life-cycle phases, the occupational standard requirementsof personnel are included.Based on expert assessments regarding each of therequirements for either life cycling, or providing knowledge and skills, the solution of certain personnel management tasks is secured.On the basis of cluster evaluations, a career development system and a career broadening program are built, while on the basis of individual assessments, candidates pool for promotion and transfer to senior position is determined.

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