scispace - formally typeset
Proceedings ArticleDOI

A Novel Approach for Implementing Conventional LBIST by High Execution Microprocessors

Reads0
Chats0
TLDR
In this article , lower built-in self-test (LBIS T) mechanism is used to design a microprocessor and the proposed methodology is giving performance measure like power efficiency 97.5% and area had been attained.
Abstract
The major VLSI circuits like sequential circuits, linear chips and op amps are very important elements to provide many logic functions. Today's competitive devices like cell phone, tabs and note pads are most prominent and those are used to get function the 5G related operations. In this work lower built-in self-test (LBIS T) mechanism is used to designing a microprocessor. The proposed methodology is giving performance measure like power efficiency 97.5 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">%</sup> , improvement of delay is 2.5% and 32% development of area had been attained. This methodology attains more outperformance and compete with present technology. The proposed equipment and execution for our approach requiring a constrained range overhead (lower than 3% power) over conventional LBIS T.

read more

Content maybe subject to copyright    Report

Citations
More filters
Proceedings ArticleDOI

An adavanced Gesture Recognition Using Machine Learning

TL;DR: In this paper , the authors present a survey of the literature on gestures movement that deals with touch-free computing machines in the adjacent surroundings and present a systematic study of all last year's papers for 2016 to 2019.
Proceedings ArticleDOI

An advanced Machine Learning Techniques on Agriculture fileds for future level cultivations

TL;DR: In this article , a Random Forest (RF) machine learning method was used to estimate crop solar energy digitally, assess a system's implementation, and compare the RF algorithm's productivity to the existing benchmarks.
Book ChapterDOI

Analysis on Exposition of Speech Type Video Using SSD and CNN Techniques for Face Detection

q5kbmsr107
TL;DR: In this article , a CNN-based deep learning mechanism has been proposed for emotion detection on running video extraction and performance measures like accuracy 98.34%, sensitivity 97.23%, recall 98.23% and throughput 97.3% have attained these are outperformance methodology and compete with current technologies.
Book ChapterDOI

Enhancing the Protection of Information in Digital Voting Using Application of Block Chain Technology

TL;DR: In this paper , an efficient hashing method using SHA-256 was proposed to guarantee the security of the data, and the use of the block sealing idea aids in adjusting the block chain.
References
More filters
Journal ArticleDOI

Design challenges of technology scaling

Shekhar Borkar
- 01 Jul 1999 - 
TL;DR: In this article, the authors look closely at past trends in technology scaling and how well microprocessor technology and products have met these goals and project the challenges that lie ahead if these trends continue.
Journal ArticleDOI

Survey of low-power testing of VLSI circuits

TL;DR: The author reviews low-power testing techniques for VLSI circuits with a discussion of power consumption that gives reasons for and consequences of increased power during test.
Journal ArticleDOI

Analysis and decomposition of spatial variation in integrated circuit processes and devices

TL;DR: In this article, a collection of methods to identify and model spatial variation for future use in process control to reduce systematic variation, and in process/device design to produce more robust circuits.
Journal ArticleDOI

Speed binning with path delay test in 150-nm technology

TL;DR: A formula to relate structural critical-path testing frequency to system operation frequency is offered and it is demonstrated that there can be a high correlation between frequencies resulting from structural testing and those resulting from functional testing.
Proceedings ArticleDOI

Handover based spectrum allocation in cognitive radio networks

TL;DR: A novel protocol is proposed in which spectrum allocation can be done by increasing the transmission range and communication quality, lowering the energy consumption and delays and a novel standard for cognitive radio networks is proposed.