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The Application of Digital Image Processing Technology in Higher Education Teaching and Management

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  • Yufeng Cheng

    (Institute of Education, Zhengzhou College of Finance and Economics, China)

Abstract

The integration of multimedia and instructional technologies marks a pivotal advancement in educational methodologies, especially within the realm of higher education. This paper presents an innovative distributed fusion reconstruction algorithm designed to optimize multimedia network teaching systems. By focusing on improving data transmission accuracy, minimizing time delay, reducing energy consumption, and enhancing overall system performance, this research proposes a node selection algorithm based on unequal probability random projection. This approach dynamically adjusts node transmission probabilities according to sampled data signal strength and employs an energy balance algorithm to prolong the lifecycle of digital image processing systems. The experimental design systematically evaluates key variables including node count, packet volume, and sensing data sparsity against dependent metrics, such as calculation time, energy consumption, and throughput.

Suggested Citation

  • Yufeng Cheng, 2025. "The Application of Digital Image Processing Technology in Higher Education Teaching and Management," International Journal of Knowledge Management (IJKM), IGI Global Scientific Publishing, vol. 21(1), pages 1-24, January.
    • Handle: RePEc:igg:jkm000:v:21:y:2025:i:1:p:1-24
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    References listed on IDEAS

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    1. Hexu Wang & Fei Xie & Qun Duan & Jing Li & Prayas Sharma, 2022. "Federated Learning for Supply Chain Demand Forecasting," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-8, November.
    2. Iftekhar Hasan & Jong Chool Park & Qiang Wu, 2012. "The Impact of Earnings Predictability on Bank Loan Contracting," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 39(7-8), pages 1068-1101, September.
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