Experiment Science and Technology, Volume. 23, Issue 1, 17(2025)

Improvement of the Experimental Course on “Computer Composition and Embedded Systems” for Artificial Intelligence

Wenhui XU1, Sheng ZHONG1,2, Xu ZOU1,2, and Dingxin HE1、*
Author Affiliations
  • 1School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China
  • 2National Key Laboratory of Multispectral Information Intelligent Processing Technology, Huazhong University of Science and Technology, Wuhan 430074, China
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    For the educational needs of artificial intelligence major, adhering to the principles of associating closely with the theoretical course and reflecting teaching characteristics, the experimental course of Computer Composition and Embedded Systems is expanded and improved. Combining parallel convolution computation in embedded systems with morphological filtering in image processing, a circuit design experiment for morphological filtering parallel computation is designed, which is based on the Logisim simulation platform. By designing both circuits and test image cases of morphological filtering, and comparing and analyzing the characteristic differences of different filtering operations, students can not only integrate relevant knowledge from various courses, but also exercise system design skills. Furthermore, it lays the foundation for learning subsequent courses such as intelligent chips.

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    Wenhui XU, Sheng ZHONG, Xu ZOU, Dingxin HE. Improvement of the Experimental Course on “Computer Composition and Embedded Systems” for Artificial Intelligence[J]. Experiment Science and Technology, 2025, 23(1): 17

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    Paper Information

    Category: Experimental Teaching and Teaching Experimental

    Received: Nov. 29, 2023

    Accepted: --

    Published Online: Feb. 26, 2025

    The Author Email: HE Dingxin (何顶新)

    DOI:10.12179/1672-4550.20230574

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