AN IMPROVISED METHOD TO SECURE SENSE AMPLIFIER USING MACHINE LEARNING ASSISTED MEMRISTORS
Abstract
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The rapid development of memristor technology gives hope for a solution to both issues since it promises to enhance the capabilities of electronics beyond what CMOS technology can provide on its own and makes it possible to implement unconventional computer designs. In this paper, we present a novel sensing amplifier that possesses unwavering consistency. The proposed sensory amplifier makes use of a Machine Learning Assisted Memristor (MLAM) circuit to reliably recreate the same values as the original randomly generated keys, despite variations in noise, supply voltage, and temperature. When compared to the other available topologies, the recommended sensory amplifier uses an amplifier structure to provide a quick response time and good traits of originality and unpredictability.

Authors
N. Sivakumar1, Venkatesh Kavididevi2, M. Sathiya3, M. Pandi Maharajan4
Varuvan Vadivelan Institute of Technology, India1, Vardhaman College of Engineering, India2, Karpagam Institute of Technology, India3, Nadar Saraswathi College of Engineering and Technology, India4

Keywords
Amplifier, Machine Learning, Memristors, Sense, CMOS
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Published By :
ICTACT
Published In :
ICTACT Journal on Microelectronics
( Volume: 9 , Issue: 1 , Pages: 1503 - 1507 )
Date of Publication :
April 2023
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293
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