Standard

General Algorithm for Cognitive Material Measurements by the Radio Structuroscopy Method. / Zeyde, Kirill; Milochkin, Iliya.
Proceedings - 2023 5th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency, SUMMA 2023: book. Institute of Electrical and Electronics Engineers Inc., 2023. p. 599-602.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Harvard

Zeyde, K & Milochkin, I 2023, General Algorithm for Cognitive Material Measurements by the Radio Structuroscopy Method. in Proceedings - 2023 5th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency, SUMMA 2023: book. Institute of Electrical and Electronics Engineers Inc., pp. 599-602, 2023 5th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA), 08/11/2023. https://doi.org/10.1109/SUMMA60232.2023.10349423

APA

Zeyde, K., & Milochkin, I. (2023). General Algorithm for Cognitive Material Measurements by the Radio Structuroscopy Method. In Proceedings - 2023 5th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency, SUMMA 2023: book (pp. 599-602). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SUMMA60232.2023.10349423

Vancouver

Zeyde K, Milochkin I. General Algorithm for Cognitive Material Measurements by the Radio Structuroscopy Method. In Proceedings - 2023 5th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency, SUMMA 2023: book. Institute of Electrical and Electronics Engineers Inc. 2023. p. 599-602 doi: 10.1109/SUMMA60232.2023.10349423

Author

Zeyde, Kirill ; Milochkin, Iliya. / General Algorithm for Cognitive Material Measurements by the Radio Structuroscopy Method. Proceedings - 2023 5th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency, SUMMA 2023: book. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 599-602

BibTeX

@inproceedings{d0d13785fd55485cbe13fb6eec852e4d,
title = "General Algorithm for Cognitive Material Measurements by the Radio Structuroscopy Method",
abstract = "In this work, a new general approach to the measurement of material parameters is proposed. The basis of this approach is the joint use of a computer model, a discriminative model, and a Bayesian network to organize the process of restoring material parameters. The purpose of the measuring system is to provide relevant information about the parameters of the material under investigation. We have successfully attempted to use the concept of self-awareness in a system for the automated determination of complex medium properties in real time. This method combines the advantages of both direct experimental research and numerical reconstruction in a virtual model. The work describes in detail the functioning algorithm the support machine and the structure of the Bayesian network. These two elements are crucial to the proposed measuring complex.",
author = "Kirill Zeyde and Iliya Milochkin",
year = "2023",
month = nov,
day = "8",
doi = "10.1109/SUMMA60232.2023.10349423",
language = "English",
isbn = "979-835030912-6",
pages = "599--602",
booktitle = "Proceedings - 2023 5th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency, SUMMA 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",
note = "2023 5th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA) ; Conference date: 08-11-2023 Through 10-11-2023",

}

RIS

TY - GEN

T1 - General Algorithm for Cognitive Material Measurements by the Radio Structuroscopy Method

AU - Zeyde, Kirill

AU - Milochkin, Iliya

PY - 2023/11/8

Y1 - 2023/11/8

N2 - In this work, a new general approach to the measurement of material parameters is proposed. The basis of this approach is the joint use of a computer model, a discriminative model, and a Bayesian network to organize the process of restoring material parameters. The purpose of the measuring system is to provide relevant information about the parameters of the material under investigation. We have successfully attempted to use the concept of self-awareness in a system for the automated determination of complex medium properties in real time. This method combines the advantages of both direct experimental research and numerical reconstruction in a virtual model. The work describes in detail the functioning algorithm the support machine and the structure of the Bayesian network. These two elements are crucial to the proposed measuring complex.

AB - In this work, a new general approach to the measurement of material parameters is proposed. The basis of this approach is the joint use of a computer model, a discriminative model, and a Bayesian network to organize the process of restoring material parameters. The purpose of the measuring system is to provide relevant information about the parameters of the material under investigation. We have successfully attempted to use the concept of self-awareness in a system for the automated determination of complex medium properties in real time. This method combines the advantages of both direct experimental research and numerical reconstruction in a virtual model. The work describes in detail the functioning algorithm the support machine and the structure of the Bayesian network. These two elements are crucial to the proposed measuring complex.

UR - http://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=85182329946

U2 - 10.1109/SUMMA60232.2023.10349423

DO - 10.1109/SUMMA60232.2023.10349423

M3 - Conference contribution

SN - 979-835030912-6

SP - 599

EP - 602

BT - Proceedings - 2023 5th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency, SUMMA 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 5th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA)

Y2 - 8 November 2023 through 10 November 2023

ER -

ID: 51660794