Author(s)

Wang Shiyang ¹, Zhang Fanghui ¹

Affiliation(s)

¹ School of Electronic Information and Artificial Intelligence, Shaanxi University of Science and Technology, Xi'an, Shaanxi 710021, China

Corresponding Author

Wang Shiyang

ABSTRACT

Power load forecasting is very important for power dispatching. Accurate load forecasting is of great significance for saving energy, reducing generating cost and improving social and economic benefits[1]. In order to accurately predict the power load, based on BP neural network theory, combined with the advantages of Clementine in dealing with big data and preventing overfitting, a neural network prediction model for big data is constructed[2]. 

KEYWORDS

Performance Monitoring, On-board Software, Modular Design

CITE THIS PAPER

Wang Shiyang, Zhang Fanghui, A Monitoring Software Design for Aviation Airborne Computing Platform. Journal of Electronics and Information Science (2025) Vol. 10: 78-81. DOI: http://dx.doi.org/10.23977/10.23977/jeis.2025.100110.

REFERENCES

[1] Wang H, Pan A J, Yang Z C, et al. Intelligent Testing and Monitoring Technology of Airborne System [J]. Measurement ＆ Control Technology, 2022, 41( 10) :1-6.
[2] Dai Xiaodi, Duan Haijun. Research on airborne distributed middleware technology [J]. Aeronautical Computing Technique, 2021, 51(01):75-79. 
[3] CHEN Sheng, LUAN Jianze, et al. A design for the configuration management of IMA system [J]. Avionics Technology,  2023, 54 (01): 9-13.
[4] Qi Xiaobin, Lin Zhuo, Wang Jiqian, et al. Research on Runtime Performance Monitoring Technology of Embedded Operating System[J]. Aeronautical Computing Technique,2023,53(5):100-104.
[5] Pan Yunsong. Research and implementation of optimal allocation of DIMA avionics system resources.[D]. Nanjing University of Aeronautics and Astronautics,2017.

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