INFORMATION ANALYSIS METHOD ABOUT CURRENT SITUATIONS IN ACS OF SPECIAL OPERATIONS

Main Article Content

Maksim Pavlenko
https://orcid.org/0000-0003-3216-1864
Serhii Khmelevskiy
https://orcid.org/0000-0001-5782-552X
Oleksii Petrov
https://orcid.org/0000-0002-3062-9286

Abstract

The relevance of improvement and difficulty of establishing ERP systems and methods of their development is considered. The features of the development of special mathematical and software implements strategy ERP system shows effective ways formalized description of the classes of recognizable situations in the form of membership functions corresponding regions of the feature space. In the course of developing automated ERP systems, it is necessary to apply direct methods for characterization of classes of recognizable situations. As shown by the analysis of typical SR tasks solved in ERP systems, in practice a feature space can contain many hundreds and even thousands of attributes. In this case, the number of examples of situations belonging to a particular class, as a rule, is limited to tens of units. Therefore, for classical learning algorithms, the required length of a training sequence for SR tasks of practical importance, as a rule, many times exceeds the disposable number of examples of environment. The source of information necessary for the construction of such a priori descriptions can be experts who can solve SR tasks in a non-automated way in conditions of psychological comfort.

Article Details

How to Cite
Pavlenko, M., Khmelevskiy, S., & Petrov, O. (2020). INFORMATION ANALYSIS METHOD ABOUT CURRENT SITUATIONS IN ACS OF SPECIAL OPERATIONS. Advanced Information Systems, 4(1), 103–106. https://doi.org/10.20998/2522-9052.2020.1.15
Section
Information systems research
Author Biographies

Maksim Pavlenko, Ivan Kozhedub Kharkiv National Air Force University, Kharkiv

Doctor of technical sciences, Professor, Chair of mathematical and software ACS department

Serhii Khmelevskiy, Ivan Kozhedub Kharkiv National Air Force University, Kharkiv

Candidate of technical sciences, Associate Professor, Chair Deputy of mathematical and software ACS department

Oleksii Petrov, Ivan Kozhedub Kharkiv National Air Force University, Kharkiv

Candidate of technical sciences, senior lecturer of of mathematical and software ACS department

References

Kaipei, Yang, Yaakov, Bar-Shalom and Peter Willett (2019), “The cross-covariance for heterogeneous track-to-track fusion”, Willett Proc., Vol. 11018, Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII; 1101806 (2019) https://doi.org/10.1117/12.2520001

Gorelik, A.L. and Skripkin, V.A. (1989), Recognition methods, Vyssh. shkola, Moscow, 232 p.

Svyrydov, A., Kuchuk, H., Tsiapa, O. (2018), “Improving efficienty of image recognition process: Approach and case study”, Proceedings of 2018 IEEE 9th International Conference on Dependable Systems, Services and Technologies, DESSERT 2018, pp. 593-597, DOI: http://dx.doi.org/10.1109/DESSERT.2018.8409201

Donets, V., Kuchuk, N. and Shmatkov, S. (2018), “Development of software of e-learning information system synthesis modeling process”, Advanced Information Systems, Vol. 2, No 2, pp. 117–121, DOI: https://doi.org/10.20998/2522-9052.2018.2.20.

Mozhaev, O., Kuchuk H., Kuchuk, N., Mozhaev, M. and Lohvynenko M. (2017), “Multiservise network security metric”, IEEE Advanced information and communication technologies-2017, Proc. of the 2th Int. Conf, Lviv, pp. 133-136, DOI: https://doi.org/10.1109/AIACT.2017.8020083

Vapnik, V.N. and Chervonenkis, A.Ya. (1974), Pattern recognition theory, Nauka, Moscow, 416 р Moscow.

Khudov, V.G., Kuchuk, G.A., Makoveychuk, O.M. and Krizhny A.V. (2016), “Analysis of known image segmentation methods obtained from on-board optoelectronic surveillance systems”, Information Processing Systems, No. 9 (146), pp. 77-80.

Shylo, S., Golovnyak, D., Khmelevskiy, S. and Timochko О. (2019), “Method of joint processing of coordinate and signal information in systems of radio location information of special purpose”, Control, navigation and communication systems, PNТU, Poltava, Vol. 6 (58), pp. 123-128, DOI: https://doi.org/10.26906/SUNZ.2019.6.123.

Grib, D.A., Demidov, B.O., Khmelevskyi, S.I. and Matiushchenko, O.H. (2019), “Intellectual technologies in the problems of structure management of dynamics of complex multiple structural military systems”, Information Processing Systems, Vol. 3(158), pp. 15-26, DOI: https://doi.org/10.30748/soi.2019.158.02

Pavlenko, M.A., Smeliakov, S.V., Rudenko, V.N. and Khmelevskyi, S.Y. (2016), “Areas of interface interaction in automated control systems special”, Information Processing Systems, Vol. 9 (146), pp. 51-54.

Dmitriiev, O.M., Melnychuk, M.H., Khmelevskyi, C.I., Shcherbak, H.V. and Shylo, S.H. (2019), “Method of psycho-diagnostic tools' determination for professional selection and training of specialists in complex ergatic systems”, Scientific Works of Kharkiv National Air Force University, Vol. 3(61), pp. 53-62, DOI: https://doi.org/10.30748/zhups.2019.61.08

Herasymov, S.V., Tymochko, O.I. and Khmelevskyi, S.I. (2017), “Synthesis method of the optimum structure of the procedure for the control of the technical status of complex systems and complexes”, Scientific Works of Kharkiv National Air Force University, Vol. 4(53), pp. 148-152.