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A Fuzzy Based Analysis of Software Confidentiality at Specific Stage
Author(s) -
Munindra Kumar Singh
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.d9425.118419
Subject(s) - confidentiality , computer science , metric (unit) , software , fuzzy logic , data mining , task (project management) , computer security , artificial intelligence , systems engineering , engineering , operations management , programming language
One-Step Majority logic decoding (OSMLD) codes preset a very powerful error correcting schemes due to the simplicity of their decoder. However, families of these codes are limited to a few numbers. In this paper, we present a new adaptation which generalizes the majority-logic decoding for non OSMLD codes. This technique uses MIM method to select codewords from the dual of the code with last digit equal to one and then estimates the best threshold from which we obtain the best performance in term of the bit error rate (BER). The comparison between performances of the proposed technique and other coder/decoder schemes on AWGN (Additive White Gaussian Noise) channel proves its capacity in correcting more errors.

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