Advertisement

The Financial Archives Management System of University Based on Computer Network Technology

  • Lingjun ZhuEmail author
Conference paper
  • 40 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1147)

Abstract

The financial files in Colleges and universities present a new development trend of large amount of information, real-time update and frequent access, which poses a severe challenge to the current financial file management means and methods. The purpose of this paper is to study the design and development of financial archives management system based on computer network technology. First of all, it introduces the research background of financial archives management, summarizes the problems to be solved, discusses the significance and importance of the research, expounds the financial management process, the basic framework of financial management mode, the main functional modules of financial management and universities. In the system design, the system development environment is built and the system is deployed. The experimental results show that there are more than 25 people in two archives departments. More than 5 part-time archivists and more than 8 high-level users in Colleges and universities. During the peak period of query utilization and working file concentration, the system visited more than 100 people at the same time. After a period of application, according to the feedback results from all aspects, the system basically meets the design requirements.

Keywords

Computer network College finance File management Management mode 

References

  1. 1.
    Zabri, Z., Nohuddin, P.N.E.: Analyzing network intrusion behavior of packet capture using association rules technique: an initial framework. Adv. Sci. Lett. 24(3), 1628–1632 (2018)CrossRefGoogle Scholar
  2. 2.
    Chen, X., Huang, W., Jin, Y., et al.: Prescription analysis of electroacupuncture for simple obesity based on complex network technique. Chin. Acupunct. Moxib. 38(3), 331–336 (2018)Google Scholar
  3. 3.
    Banerjee, R., Bit, S.D.: An energy efficient image compression scheme for wireless multimedia sensor network using curve fitting technique. Wirel. Netw. 25(3), 1–17 (2017)Google Scholar
  4. 4.
    Zarbakhsh, P., Addeh, A.: Breast cancer tumor type recognition using graph feature selection technique and radial basis function neural network with optimal structure. J. Cancer Res. Ther. 14(3), 625 (2018)CrossRefGoogle Scholar
  5. 5.
    Sleeba, S.Z., Jose, J., Mini, M.G.: Energy-efficient fault tolerant technique for deflection routers in two-dimensional mesh Network-on-Chips. IET Comput. Digit. Tech. 12(3), 69–79 (2018)CrossRefGoogle Scholar
  6. 6.
    Lampi, T., Dekker, H., Ten Bruggenkate, C.M.: Acid-etching technique of non-decalcified bone samples for visualizing Osteocyte-Lacuno-Canalicular network using scanning electron microscope. Ultrastruct. Pathol. 42(5), 1–6 (2017)Google Scholar
  7. 7.
    Long, Z.: On-line fault section location and classification technique for low voltage active distribution network. Proc. CSEE 37(9), 2525–2538 (2017)Google Scholar
  8. 8.
    Dong, L., Meng, T., Chen, N.: Optimized scheduling of AC/DC hybrid active distribution network using markov chains and multiple scenarios technique. Autom. Electr. Power Syst. 42(5), 147–153 (2018)Google Scholar
  9. 9.
    Rezaei, F., Hempel, M., Sharif, H.: Towards a reliable detection of covert timing channels over real-time network traffic. IEEE Trans. Dependable Secur. Comput. 14(3), 249–264 (2017)CrossRefGoogle Scholar
  10. 10.
    Garonne, V., Barisits, M., Beermann, T.: Experiences with the new ATLAS distributed data management system. J. Phys. Conf. Ser. 898(6), 062019 (2017)CrossRefGoogle Scholar
  11. 11.
    Wilson, G., Lagae, B.: Race and the dynamics of men’s mobility into management from working class jobs. Rev. Black Polit. Econ. 44(3–4), 1–17 (2017)Google Scholar
  12. 12.
    Yan, L., Hu, X., Xie, H.: Data management and visualization of mobile laser scanning point cloud. Geomat. Inf. Sci. Wuhan Univ. 42(8), 1131–1136 (2017)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Qilu Normal UniversityJinanChina

Personalised recommendations