DESIGNING OF THE SYSTEM OF DIGITAL CORRECTION AND BITMAP IMAGES IMPROVING QUALITY IN THE RADIOGRAPHY FIELD
DOI:
https://doi.org/10.31649/1999-9941-2022-55-3-33-43Keywords:
blockchain technologies, cryptocurrency asset management, security, automatic search for the best exchange rateAbstract
The work is devoted to the improvement of a very relevant and important in our time hardware and software technology for managing cryptocurrency assets. This technology, as well as applications that implement it, is called "cryptocurrency wallet". In order to determine the priority areas for improving this technology, modern software and hardware solutions of existing applications for managing cryptocurrency assets were analyzed in detail. The analysis and selection of methodological and technological solutions was carried out, first of all, using the criteria of functionality, convenience and security. As a result of the analysis, it was shown that the most effective, according to the above criteria, is the technology based on the creation of separate, so-called "non-custodial" mobile applications linked to a fingerprint or FACE ID. According to the results of the analysis, it was also found that none of the above technological solutions provides for the implementation of the automated assessment function of the level of proposals attractiveness for the sale of cryptocurrency, as well as further ranking of proposals by this indicator. That is why, in order to expand the functionality of the information technology of cryptocurrency assets management, a new information technology has been developed, which provides for the introduction of functions for assessing the level of offer attractiveness for the sale of cryptocurrency, as well as ranking the provider offers, depending on the results of such an assessment. In addition, the stages of the process of assessing the attractiveness of existing proposals are given. The proposed technology, in turn, is an integral part of the cryptocurrency wallet technology and uses the fuzzy set apparatus. Also, the paper formalized and modeled the problem of assessing the level of attractiveness of cryptocurrency offer sales using the fuzzy logic theory and fuzzy sets.
References
Satoshi Nakamoto, Bitcoin: A Peer-to-Peer Electronic Cash System. [Online]. Available: https://bitcoin.org/bitcoin.pdf. Accessed on: September 10, 2022.
Christidis Konstantinos, Michael Devetsikiotis, Blockchains and Smart Contracts for the Internet of Things. [Online]. Available: http://ieeexplore.ieee.org/iel7/6287639/6514899/07467408. pdf?arnumber=7467408. Accessed on: September 10, 2022.
Boohyung Lee, “Blockchain-based secure firmware update for embedded devices in an Internet of Things environment”, The Journal of Supercomputing, pp. 1-16. 2016.
E. C. Ferrer, “The blockchain: a new framework for robotic swarm systems”, arXiv preprint arXiv:1608.00695, 2016.
Andreas M. Antonopoulos, Mastering Bitcoin: unlocking digital cryptocurrencies. “O'Reilly Media, Inc.”, 2014, 298 p.
L. Zade, Ponyatie lingvisticheskoy peremennoy i ee primenenie k prinyatiyu priblizhennyih resheniy. M.: Mir, 1976, 167 s [in Russian].
O. P. Rotshtein, Intelektualni tekhnolohii identyfikatsii: nechitki mnozhyny, henetychni alhorytmy, neironni merezhi. Vinnytsia: «UNIVERSUM – Vinnytsia», 1999, 320 p. [in Ukrainian].
H. J. Zimmermann, Fuzzy Sets, Decision Making and Expert Systems. Kluwer: Dordrecht, 1987, 335p.
O. M. Roik, A. V. Poplavskyi, “Nechitkyi pidkhid do vyrishennia zadachi identyfikatsii ko-lorovykh vidtinkiv”, Optoelectronic Information-Energy Technologies, № 2, pp. 39-42. 2016 [in Ukrainian].
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