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Register a new userالتشفير باستخدام دالة فيثاغورثية خاصة
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Aِl-Baath University ورقة بحثية
Publication date
2016
fields
Mathematics
and research's language is
العربية
Created by
Shamra Editor
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تقدم ورقة البحث نمطا جديداً من التشفير باستخدام علاقة فيثاغورث المولدة لثلاثية عددية أولية , و استثمارها في التشفير و المطبق على الرسائل المرمزة بنظام ASCII المستخدم في حواسيبنا الحالية. تم في هذا البحث بناء مفتاح عددي شبه خاص لفك التشفير اعتمادا على دالة فيثاغورث طبق مع مفتاح عددي آخر للتشفير بحيث تم الوصول لدالة فك التشفير بطريقة صحيحة تتعلق بدالة فيثاغورث (دالة التشفير).
No English abstract
References used
Christof Paar & Jan Pelzl, Understanding Cryptography, © Springer-Verlag Berlin Heidelberg 2010
(GARRETT, P.: Making, Breaking Codes. An Introduction to Cryptology. Prentice–Hall (2007
(GOLDREICH, O.: Foundations of Cryptography. Basic Applications. Cambridge University Press (2009
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This research gives a new type of encryption, using vectors give me a private
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and check conditions matrix Hill.
These matrices resulting from private vectors constitute a relatively
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method when applied to linear and nonlinear SDEs are stable and convergent.
Moreover, the scheme is tested on two linear and nonlinear problems to illustrate
the applicability and efficiency of the purposed method. Comparisons of our results with
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This paper presents a new type of encryption, using a matrix
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is an internal encryption.
As well as asymmetric encryption, where the ciphertext is inversely
symmetric matrix.
Decryp
tion matrix related to any asymmetric encryption keys
depends on public and private, and is applied to the coded messages
used in the current system ASCII our computers.
This paper describes POSTECH's quality estimation systems submitted to Task 2 of the WMT 2021 quality estimation shared task: Word and Sentence-Level Post-editing Effort. We notice that it is possible to improve the stability of the latest quality es
timation models that have only one encoder based on the self-attention mechanism to simultaneously process both of the two input data, a source sequence and its machine translation, in that such models have neglected to take advantage of pre-trained monolingual representations, which are generally accepted as reliable representations for various natural language processing tasks. Therefore, our model uses two pre-trained monolingual encoders and then exchanges the information of two encoded representations through two additional cross attention networks. According to the official leaderboard, our systems outperform the baseline systems in terms of the Matthews correlation coefficient for machine translations' word-level quality estimation and in terms of the Pearson's correlation coefficient for sentence-level quality estimation by 0.4126 and 0.5497 respectively.
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