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Keyword: Field programmable gate array
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Open AccessArticle
10 Pages, 2,262 KB Download PDF

Synthesis of QDI Combinational Circuits using Null Convention Logic Based on Basic Gates

Advances in Science, Technology and Engineering Systems Journal, Volume 3, Issue 4, Page # 308–317, 2018; DOI: 10.25046/aj030431
Abstract:

Currently, synchronous digital circuits (SDC) may require certain design conditions, such as power consumption, robustness, performance, etc. These design conditions are more difficult to satisfy when SDC are implemented in VLSI (Very Large Scale Integration) technology and in the deep-sub-micron MOS (DSM-MOS) technology. The asynchronous design style has properties that serve as an alternative to…

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(This article belongs to the SP5 (Special Issue on Multidisciplinary Sciences and Engineering 2018) & Section Electronic Engineering (EEE))
Open AccessArticle
10 Pages, 494 KB Download PDF

Design and Implementation of Reconfigurable Neuro-Inspired Computing Model on a FPGA

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 5, Page # 332–341, 2020; DOI: 10.25046/aj050541
Abstract:

In this paper we design a large scale reconfigurable digital bio-inspired computing model. We consider the reconfigurable and event driven parameters in the developed field-programmable neuromorphic computing system. The various Intellectual Property (IP) cores are developed for the modules such as Block RAM, Differential Clock, Floating Point, and First In First Out (FIFO) for the…

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(This article belongs to the SP10 (Special Issue on Multidisciplinary Sciences and Engineering 2020-21) & Section Electronic Engineering (EEE))
Open AccessArticle
8 Pages, 374 KB Download PDF

FPGA Acceleration of Tree-based Learning Algorithms

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 5, Page # 237–244, 2020; DOI: 10.25046/aj050529
Abstract:

Machine learning classifiers provide many promising solutions for data classification in different disciplines. However, data classification at run time is still a very challenging task for real-time applications. Acceleration of machine-learning hardware solutions is needed to meet the requirements of real-time applications. This paper proposes a new implementation of a machine learning classifier on Field…

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(This article belongs to the SP10 (Special Issue on Multidisciplinary Sciences and Engineering 2020-21) & Section Electronic Engineering (EEE))
Open AccessArticle
8 Pages, 1,159 KB Download PDF

Embedded Artificial Neural Network FPGA Controlled Cart

Advances in Science, Technology and Engineering Systems Journal, Volume 4, Issue 4, Page # 509–516, 2019; DOI: 10.25046/aj040461
Abstract:

An artificial neural network (ANN) computing system can be significantly influenced by its implementation type. The software implemented ANN can produce high accuracy output with slow computation time performance compared to hardware implemented ANN which runs at a faster computation time but with low accuracy. Normally, software implementation reduces the proficiency and efficiency of the…

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(This article belongs to Section Electronic Engineering (EEE))

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