Open Access
Development of the external restructuring method to increase the efficiency of information resource data encoding
Author(s) -
Serhii Khmelevskiy,
Ivan Tupitsya,
Kaciм Aббуд Махдi,
О.П. Мусієнко,
Maksym Parkhomenko,
Я.О. Боровенський
Publication year - 2021
Publication title -
sistemi obrobki ìnformacìï
Language(s) - English
Resource type - Journals
eISSN - 2518-1696
pISSN - 1681-7710
DOI - 10.30748/soi.2021.166.06
Subject(s) - restructuring , computer science , coding (social sciences) , risk analysis (engineering) , business , mathematics , finance , statistics
The existing methods of data restructuring, implemented in modern algorithms for coding data of information resources, are investigated. The problematic aspects of using methods of external data restructuring are analyzed from the standpoint of ensuring the appropriate level of reliability. The main ones among them are the possibility of losing key information during the reconstruction of the original message, which can lead to the adoption of erroneous and untimely decisions by the relevant security sector authorities to overcome crisis situations. Requirements for information resources used in the interests of security sector bodies in the context of the need for a prompt response to overcoming crisis situations are being formed. In order to increase the efficiency of data coding of an information resource from the position of a compact representation in conditions of ensuring an appropriate level of quality, a method of external restructuring is being developed, which additionally allows to eliminate psycho-visual, statistical and structural redundancy of the message. External restructuring of data means the formation of a new message alphabet (color palette for an image). A new approach to restructuring these information resources is proposed, the essence of which is to determine the significance of individual elements in the initial message by a quantitative indicator, and then adjust the power of the original message, which allows creating more favorable conditions for further coding.