Due to the huge user base, highly flexible technical performance and network characteristics of the Internet, the Internet has become an ideal business platform and has formed a global network economy. In the current multimedia environment, some new economic forms such as virtual enterprises have emerged. These companies have no real office space. The prosperity of Internet and information technology has broken the previous business model and accounting model, and the network accounting model came into being. The emergence of a new industry will certainly be accompanied by many problems. For example, information management is difficult, information security is not high, and theoretical development is immature. Therefore, the management of network accounting has become an important topic. Embedded microprocessors are more and more widely used in various electronic devices due to their high performance, low power consumption, and portability. This article will study the mode management of network accounting based on embedded microprocessor. This article introduces the methods of network accounting and embedded microprocessors. A network system was designed based on an embedded microprocessor. This article tested the system and got the result: the average accuracy of the system's forecast of operating income is about 94%, and the average accuracy of forecast of operating costs is 93%. The network accounting system's forecast accuracy rate for sales expenses is 90%, and the forecast accuracy rate for management expenses is 92%. The average processing capacity of the system is 13.9time/s. The average value of the maximum server occupancy rate under different threads is 49.83%.

Mariolina Pais Marden. Network Accounting Mode Management in Multimedia Environment on Account of Embedded Microprocessor. International Journal of Multimedia Computing (2023), Vol. 4, Issue 1: 20-36. https://doi.org/10.38007/IJMC.2023.040102.

[1] Modell S, Vinnari E, Lukka K. On the virtues and vices of combining theories: The case of institutional and actor-network theories in accounting research. Accounting Organizations & Society. (2017) 60(July): 62-78. https://doi.org/10.1016/j.aos.2017.06.005

[2] Zhang X. Corporate Accounting Information Disclosure Based on FPGA and Neural Network. Microprocessors and Microsystems. (2021) 83(3): 103973. https://doi.org/10.1016/j.micpro.2021.103973

[3] Murro E, Beuren I M. Actor networks in specialized accounting inspection: an analysis in the light of the Actor-Network Theory. Revista Brasileira de Gestao de Negocios. (2016) 18(62): 633-657. https://doi.org/10.7819/rbgn.v18i62.2743

[4] Rutherford B A, Northcott D. The struggle to fabricate accounting narrative obfuscation: An actor-network-theoretic analysis of a failing project. Qualitative Research in Accounting & Management. (2016) 13(1): 57-85. https://doi.org/10.1108/QRAM-06-2015-0060

[5] Laine T, Paranko J, Lahikainen T, et al. Accounting for networks: the consolidated network approach. International Journal of Networking & Virtual Organisations. (2017) 3(3): 245-257. https://doi.org/10.1504/IJNVO.2006.010950

[6] Thistlethwaite J, Paterson M. Private governance and accounting for sustainability networks. Environment & Planning. (2016) 34(7): 1197-1221. https://doi.org/10.1108/QRAM-01-2016-0003

[7] Neto J E B, Higgins S, Cunha J V A D, et al. Social Capital and Selectivity in Academic Co-Authorship Networks: the Case of Accounting Sciences in Brazil. Brazilian Business Review. (2016) 13(6): 231-259. https://doi.org/10.15728/bbr.2016.13.6.4

[8] Moore J C, Ruiter P D, Mccann K S, et al. Adaptive Food Webs (Stability and Transitions of Real and Model Ecosystems) Toward Multiplex Ecological Networks: Accounting for Multiple Interaction Types to Understand Community Structure and Dynamics. (2017) 10.1017/9781316871867(6):73-87.

[9] Avella-Medina M, F Parise, Schaub M T, et al. Centrality Measures for Graphons: Accounting for Uncertainty in Networks. IEEE Transactions on Network Science and Engineering. (2020) 7(1): 520-537. https://doi.org/10.1109/TNSE.2018.2884235

[10] Lukka K, Vinnari E. Combining actor-network theory with interventionist research: Present state and future potential. Accounting Auditing & Accountability Journal. (2017) 30(3): 720-753. https://doi.org/10.1108/AAAJ-08-2015-2176

[11] Jfh A, Jl B, Fs C. Social networks in the global banking sector - ScienceDirect. Journal of Accounting and Economics. (2018) 65(2-3): 237-269. https://doi.org/10.1016/j.jacceco.2017.11.006

[12] Filipe M Lins, et al. Register File Criticality and Compiler Optimization Effects on Embedded Microprocessor Reliability. IEEE Transactions on Nuclear Science. (2017) 64(8): 2179-2187.

[13] Clark L T, Patterson D W, Ramamurthy C, et al. An Embedded Microprocessor Radiation Hardened by Microarchitecture and Circuits. IEEE Transactions on Computers. (2016) 65(2): 382-395. https://doi.org/10.1109/TC.2015.2419661

[14] Hida I, Takamaeda-Yamazaki S, Ikebe M, et al. A High Performance and Energy Efficient Microprocessor with a Novel Restricted Dynamically Reconfigurable Accelerator. Circuits & Systems. (2017) 08(5): 134-147. https://doi.org/10.4236/cs.2017.85009

[15] Berdahl E, Blessing M. Physical modeling sound synthesis using embedded computers: More masses for the masses. The Journal of the Acoustical Society of America. (2016) 139(4): 2204-2204. https://doi.org/10.1121/1.4950576

[16] Sato R, Hatanaka Y, Ando Y, et al. High-Speed Operation of Random-Access-Memory-Embedded Microprocessor with Minimal Instruction Set Architecture Based on Rapid Single-Flux-Quantum Logic. IEEE Transactions on Applied Superconductivity. (2017) 27(4): 1-5. https://doi.org/10.1109/TASC.2016.2642049

[17] Boussadi M A, Tixier T, Landrault A, et al. HNCP: A many-core microprocessor ASIC approach dedicated to embedded image processing applications. Microprocessors & Microsystems. (2016) 47(NOV.): 333-346. https://doi.org/10.1016/j.micpro.2016.10.005

[18] Woulfe M, Manzke M. A hybrid fixed-function and microprocessor solution for high-throughput broad-phase collision detection. Eurasip Journal on Embedded Systems. (2017) 2017(1): 1. https://doi.org/10.1186/s13639-016-0037-7

[19] Tom R Halfhill. More Embedded Mergers in 2016 Consolidation Creates New Giants, but Some Products Suffer. Microprocessor report. (2016) 30(12): 9-14.

[20] David, Kanter. Everspin MRAM Targets Enterprise New Nonvolatile Memory Attracts Storage and Embedded Customers. Microprocessor report. (2016) 30(12): 15-18.