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Luo,R. (2023). Introduction and application analysis of FIFO-related methods. Applied and Computational Engineering,14,103-110.
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Introduction and application analysis of FIFO-related methods

Ruiqing Luo *,1,
  • 1 Wuhan University

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/14/20230771

Abstract

In this paper, an improved method of using binary pointers is proposed based on the analysis of the basic principles and structure of FIFO. The paper also presents a high-speed data acquisition system based on STM32 with an asynchronous FIFO designed to solve the insufficient data acquisition speed and high-power consumption problems of fiber-optic grating sensors in the electrical industry. The use of binary pointers significantly improves the processing speed and reduces the power consumption of the FIFO, thus improving the overall efficiency.In addition, the paper introduces the use of a field-programmable gate array (FPGA) design as the control core of a color sorter system. This overcomes the drawbacks of processor-based multi-channel color sorters, including low delay accuracy, poor consistency, and persistent signal loss. The FPGA offers superior performance due to its parallel computing capabilities and flexibility in algorithm implementation, making it ideal for high-performance applications such as color sorting systems.The color sorter system designed using FPGA technology is capable of sorting different materials based on color, shape, and size. The system's superior performance is due to the use of an asynchronous FIFO buffer that enables real-time color recognition and processing. By incorporating the FIFO buffer, the system can achieve high processing speeds, consistent color recognition, and minimal signal loss, providing a valuable solution for applications requiring high-precision color sorting.

Keywords

FIFO, asynchronous FIFO, ping-pong mode high-speed data acquisition system, colour sorter sorting system

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Cite this article

Luo,R. (2023). Introduction and application analysis of FIFO-related methods. Applied and Computational Engineering,14,103-110.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 5th International Conference on Computing and Data Science

Conference website: https://2023.confcds.org/
ISBN:978-1-83558-019-6(Print) / 978-1-83558-020-2(Online)
Conference date: 14 July 2023
Editor:Alan Wang, Marwan Omar, Roman Bauer
Series: Applied and Computational Engineering
Volume number: Vol.14
ISSN:2755-2721(Print) / 2755-273X(Online)

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