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Method of diagnostic of non-positional code structures in the system of residue classes basing on the usage of an alternative number set informativeness

Conference Paper
Publication Date:
2021
abstract:
A method of diagnosis of data represented in the system of residue classes (SRC) is suggested in the article. It is shown, that the main disadvantage of existing methods of diagnosis data in SRC is a significant time of data diagnosis while the necessity of entering heavy informational redundancy to non-positional code structure (NCS) in SRC. The considered in the article method of diagnosis data in SRC allows increasing operability of a diagnosis procedure while entering minimal informational redundancy. The time of data diagnostic, compared to known methods, is decreasing firstly due to excluding the procedure of transforming numbers in SRC to positional notation as in known methods, i. e. eliminating a positional operation of numbers comparing. Secondly, the time of data diagnostic is decreased by reducing the quantity of SRC bases, which are giving the possibility of mistakes. Thirdly, the time of data diagnostic is decreased due to the usage of tabular sample value of an alternative set (AS) of numbers in SRC in one beat. The quantity of additionally entered informational redundancy is decrease by effective usage of inner informational redundancy existing in NCS. A specific example of the usage of the suggested method of diagnosis data in SRC is given. Therefore, the suggested method allows reducing the time of diagnosis of data errors in NCS, represented in SRC, which is increasing the diagnostic operability while entering minimal informational redundancy.
Iris type:
4.1 Contributo in Atti di convegno
Keywords:
Alternative number set informativeness; Non-positional code structures; System of residue classes
List of contributors:
Krasnobayev, V.; Kuznetsov, Oleksandr; Kononchenko, A.; Kuznetsova, T.
Authors of the University:
KUZNETSOV OLEKSANDR
Handle:
https://iris.uniecampus.it/handle/11389/70688
Book title:
CEUR Workshop Proceedings
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