UDC 621.391
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2 Central Scientific and Research Institute of the Armed Forces of Ukraine, Kyiv, Ukraine
komarvlad@ukr.net
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AN APPROACH TO CONSTRUCTING A MATHEMATICAL MODEL TO DETERMINE
MONITORING OBJECTS BASED ON THE INFORMATION CONTENT
OF THEIR MONITORING FEATURES
Abstract. An approach to constructing a mathematical model for determining monitoring objects
on the basis of the information content of their monitoring features is proposed.
The feasibility of calculating the information content of a particular monitoring
feature and is analyzed and directions of further studies of calculating the probability
of recognition error of monitoring sources (objects) depending on the relative information content
of the signature and a priori probabilities of monitoring sources (objects) are determined.
Keywords: monitoring sign, signature, information content of the monitoring sign.
FULL TEXT
REFERENCES
- Iliashov O.A. Methods of synthesis of algorithms for recognizing vulnerabilities of web-resources by signatures of values of fuzzy linguistic features. Kibernetika i systemnyj analiz. 2017. Vol. 53, N 3. P. 85–92.
- Popov M.A., Topolnitskiy M.V. A Dempster–Shafer evidence theory-based approach to object classification on multispectral/hyperspectral images. Proc. 10th Intern. Conf. IEEE on Digital Technologies (9–11 July 2014, Zilina, Slovakia). Zilina, Slovakia, 2014. P. 296–300. https://doi.org/10.1109/DT.2014.6868729.
- Popov M.O., Artyushin L.M., Topolnitsky M.V., Titarenko O.V., Shmorgun Yu.V. Integration of heterogeneous geospatial data based on Dempster–Schaefer testimony theory. Matematychni mashyny i systemy. 2019. N 3. P. 35–46. https://doi.org/10.34121/1028-9763-2019-3-35-46.
- Le Hegarat-Mascle S., Bloch I., Vidal-Madjar D. Application of Dempster–Shafer evidence theory to unsupervised classification in multisource remote sensing. IEEE Transactions on Geoscience and Remote Sensing. 1997. Vol. 35, N 4. P. 1018–1031.
- Iliashov O.A. Assessment of the informativeness of monitoring features and signatures and the degree of their uncertainty in the recognition of sources and objects of monitoring in the information environment of telecommunications systems. Bulletin of NTUU "KPI". Series Radio Engineering. 2016. N 67. P. 77–83.
- Wentzel E.S. Probability theory [in Russian]. Moscow: Nauka, 1969. 576 p.
- Iliashov O.A., Komarov V.S. Improvement of the signature-system method with the use of priority features in the signatures of the monitored objects to ensure the maximum probability of correct recognition. Kibernetika i systemnyj analiz. 2020. Vol. 56, N 4. P. 68–78.
- Sashchuk I.M., Zhovtovatyuk R.M., Gumenyuk M.O. Procedure for determining the informativeness of the monitoring feature. Collection of science works of the Central Research Institute of the Armed Forces. 2009. Iss. 25. P. 41–49.