Predicate Data Model in the Form of a Linear Space

• Autorzy: Shliakhov V. , Chetverykov G. , Bozhko I. , Shliakhova N.
• Języki publikacji: EN

Abstrakty

EN

The restriction of the input set in the form of a positive cone of the space <L, R> is not always correct. For instance, while studying the organ of vision, people are limited not only to positive, but also to radiation with not very high energies, because excessively intense can disturb the visual organ. In this particular case, a convex body of a linear space is a fairly acceptable model of the set of input signals. Therefore, we consider linear predicates with this domain of definition.

Słowa kluczowe

EN

predicate model; linear space; predicate algebra; algebraic structure

• Wydawca: Polish Academy of Sciences, Branch in Lublin
• Czasopismo: ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes
• Rocznik: 2019
• Tom: Vol. 8, No 2
• Strony: 51--54
• Opis fizyczny: Bibliogr. 6 poz., wz.

Twórcy

autor

Shliakhov V.

• Department of Higher Mathematics, Department of Software Engineering Kharkiv National University of Radioelectronics, Ukraine Nauky ave. 14, Kharkiv, Ukraine

autor

Chetverykov G.

• Department of Higher Mathematics, Department of Software Engineering Kharkiv National University of Radioelectronics, Ukraine Nauky ave. 14, Kharkiv, Ukraine

autor

Bozhko I.

• Department of Higher Mathematics, Department of Software Engineering Kharkiv National University of Radioelectronics, Ukraine Nauky ave. 14, Kharkiv, Ukraine

autor

Shliakhova N.

• Department of Higher Mathematics, Department of Software Engineering Kharkiv National University of Radioelectronics, Ukraine Nauky ave. 14, Kharkiv, Ukraine

Bibliografia

• 1. Maltsev A. 1973. Algebraic Systems”. Springer-Verlag Berlin Heidelberg, 320 p.
• 2. Chetverikov G. G. , Vechirska I. D. Tanyanskiy. S. S. 2014. The methods of algebra of finite predicates in the intellectual system of complex calculations of telecommunication companies. In: CriMiCo 2014, 24th International Crimean Conference Microwave and Telecommunication Technology, Sevastopol, 2014: 346–347.
• 3. Mousavi S. M. H., Lyashenko V. 2017. Extracting Old Persian Cuneiform Font Out of Noisy Images (Handwritten or Inscription). In: IEEE 10th Iranian Conference on Machine Vision and Image Processing (MVIP), 241-246.
• 4. Sharonova N., Doroshenko A., Cherednichenko O. 2018. Issues of fact-based information analysis . In: Proc. of the International Conference on Computational linguistics and intelligent systems. Volume 2136: 11-19
• 5. Kosar O., Shakhovska N. 2018. An Overview of Denoising Methods for Different Types of Noises Present on Graphic Images. In: Conference on Computer Science and Information Technologies CSIT 2018: 38-47.
• 6. Khairova N., Petrasova S., Gautam Ajit Pratap Singh. 2015. The logic and linguistic model for automatic extraction of collocation similarity. Econtechmod. Vol. 4. No. 4: 43-48.

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).