Investigation of Software Simulators for Modeling Combinational Circuits in Microprocessor Technology

Authors

DOI:

https://doi.org/10.47451/inn2025-01-01

Keywords:

virtual laboratories, simulator, microprocessor technology, circuit design, combinational circuits, education

Abstract

This article examines the use of virtual laboratories and simulators for modeling combinational circuits in microprocessor systems. The research focuses on how students at universities and other educational institutions learn circuit design and the methodologies for developing combinational circuits in microprocessor technology. This work aims to explore existing virtual laboratories and simulators for modeling combinational circuits in microprocessor technology, analyze their advantages and disadvantages, and study their functional capabilities and educational potential. The primary research methods include analyzing literary sources and online resources to identify software simulators for modeling combinational circuits in microprocessor technology and comparing their characteristics and capabilities in terms of their applicability for educational purposes. The research findings indicate that the Electronic Workbench is the most suitable for the basic study of simple combinational circuits due to its ease of use among all the reviewed simulators. NI Multisim offers a broader range of features and allows integration with hardware platforms. Proteus is applicable for studying embedded systems and working with firmware. Future research directions may include exploring new simulators for modeling combinational circuits in microprocessor systems and developing a new simulator that combines the advantages of the tools discussed in this article.

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Author Biography

  • Dmitriy Shvets, Kryvyi Rih National University

    Candidate of Engineering Sciences (Ph.D.), Associate Professor, Modeling and Software Department

References

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Published

2025-03-05

How to Cite

Investigation of Software Simulators for Modeling Combinational Circuits in Microprocessor Technology. (2025). European Scientific E-Journal, 35, 48–54. https://doi.org/10.47451/inn2025-01-01

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