Teaching Reform and Innovation of Embedded System Development in the Context of Artificial Intelligence

Journal: Region - Educational Research and Reviews DOI: 10.32629/rerr.v2i2.95

Chen Pan

School of International Cooperation and Exchange, Jinan Engineering Vocational Technical College

Abstract

Embedded system is a special computer application system embedded in the object system. It is a combination of software and hardware. After decades of development, embedded systems have gradually entered many important industries such as industrial production, military, aerospace, transportation, wireless communications, and consumer electronics products, and their applications are extensive. The diversity of embedded systems has driven the rapid development of the embedded product market. In this paper, we analyze the teaching reform of embedded system development from the perspective of artificial intelligence. The sample models are integrated to help understand the proposed methodology. The numerical analysis proves the novelty.

Keywords

artificial intelligence background; embedded systems; Internet of Things; system framework; hierarchical systems

References

[1] Rantala V., Könnölä K., Suomi S., Isomäki M. and Lehtonen T. (2017) . Agile Embedded System Development Versus European Space Standards. International Journal of Information Systems and Social Change (IJISSC), 8(1): 1-23.
[2] Samkaria R., Singh R., Gehlot A., Yadav M.S., Kumar A., Choudhary V., Choudhury S., Pachauri R. and Aggarwal A. (2018). Embedded-Based Smart Solar Grid of 2×2 Monitoring System Using Smart Sensors. In Intelligent Communication, Control and Devices, 1777-1788.
[3] Kovshoff H., Cebula K., Tsai H.W.J. and Hastings R.P. (2017). Siblings of Children with Autism: The Siblings Embedded Systems Framework. Current Developmental Disorders Reports, 4(2): 7-45.
[4] Liu X., Wang, Z., Wu G. and Zheng Y. (2017). Monitoring and Controlling System of Maize Precision Sowing and Fertilization Based on Embedded Technology. In 2017 ASABE Annual International Meeting, American Society of Agricultural and Biological Engineers, 1.
[5] Cosío-León M.A., Ojeda-Carreño D., Nieto-Hipólito J.I. and Ibarra-Hernández J.A. (2017). The Use of Standards in Embedded Devices to Achieve End to End Semantic Interoperability on Health Systems. Computer Standards & Interfaces.
[6] Grobelna I., Wiśniewski R., Grobelny M. and Wiśniewska M. (2017). Design and Verification of Real-life Processes with Application of Petri Nets. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 47(11): 2856-2869.
[7] Deng L., Li D., Yao X., Cox D. and Wang H. (2018). Mobile Network Intrusion Detection for IoT System Based on Transfer Learning Algorithm. Cluster Computing, 1-16.
[8] Hirayama M. (2017). Usability Test Method for Embedded Systems Considering with Visually Impaired. In Proceedings of the 2017 International Conference on Software and e-Business, ACM, 102-106.
[9] Wan L., Skoko, J., Yu J., LeDuc P.R. and Neumann C.A. (2017). Mimicking Embedded Vasculature Structure for 3D Cancer on a Chip Approaches through Micromilling. Scientific Reports, 7(1), 16724.
[10] Rasal S.U., Gupta K., Rasal, V. and Shelar, S. (2017). Automotive Refuge Concept Using Embedded and Computing Approaches. International Journal of Advanced Research in Computer Science, 8(5).
[11] Royuela S., Duran A., Serrano M.A., Quiñones E. and Martorell X. (2017). A Functional Safety OpenMP$$^{*}$$ for Critical Real-Time Embedded Systems. In International Workshop on OpenMP, 231-245.
[12] Zhou X., Min, X., Ji Y., Gao N., Li Y., Yao X. and Xue K. (2017) August. Fabrication of High Q Factor Integrated Passive Devices Based on Embedded Fan-out Wafer Level Package. 2017 18th International Conference on Electronic Packaging Technology (ICEPT), IEEE, 601-604.
[13] Sebastian E.J., Jose J.M., Schappacher M. and Sikora A. (2017). Seamless Test Environment for Distributed Embedded Wireless Networks. 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI), IEEE, 681-686.
[14] Deschambault O., Gherbi A. and Legare C. (2017). Efficient Implementation of the MQTT Protocol for Embedded Systems. Journal of Information Processing Systems, 13(1): 26-39.

Copyright © 2020 Chen Pan

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