Skip to main content

Digital personalized healthcare web archive collection and storage model based on soft computing and edge-driven multimodal system


With the continuous development of archive information network, it has become an important means to obtain archive information resources based on network means. At the same time, the number of users of network archives is increasing rapidly. As the main body of archive utilization, archive users play a leading role in the content and direction of archive management and utilization. The informatization of archive management is not equivalent to computerization or networking, but a systematic project related to the whole educational reform and modernization. As the modern archive management has become a complex system, there are also multi-level division methods. The first level is divided into two subsystems: archive entity management and archive information development, and each subsystem is further divided into several levels of small systems. Archive entity management is divided into collection, sorting, identification, storage, statistics, and other work links. The whole file management system and its subsystems form feedback mechanism in operation. Based on the multimedia soft computing and edge-driven multimodal system, this paper constructs the digital personalized healthcare web archive collection and storage model. The designed system is implemented through the C +  + and various simulation scenarios have been considered. The comparison simulation is conducted to show the performance of the system.

This is a preview of subscription content, access via your institution.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8


  1. Wang Y, Zhang J, Cavichini M, Bartsch D-U, Freeman WR, Nguyen TQ, An C (2020) Study on correlation between subjective and objective metrics for multimodal retinal image registration. IEEE Access 8:190897–190905

    Article  Google Scholar 

  2. Hossein-Nejad Z, Agahi H, Mahmoodzadeh A (2021) Image matching based on the adaptive redundant keypoint elimination method in the SIFT algorithm. Pattern Anal Appl 24(2):669–683

    Article  Google Scholar 

  3. Xiaobin H (2009) Development and management of network information resources [M]. Tsinghua University Press, Beijing

    Google Scholar 

  4. Zhaoyu Z (2007) Theory and practice of current case informatization [M]. China archives publishing house, Beijing

    Google Scholar 

  5. Zhou Z, Chen G, Fan G, Ji J, Dai Y (2020) "A framework of Student’s-t mixture model for accurate and robust point set registration." In Proceedings of the 2020 2nd international conference on intelligent medicine and image processing, pp. 47–54

  6. Wang Y, Zhang J, Cavichini M, Bartsch D-U, Freeman WR, Nguyen TQ, An C (2021) Robust content-adaptive global registration for multimodal retinal images using weakly supervised deep-learning framework. IEEE Trans Image Process 30:3167–3178

    Article  Google Scholar 

  7. Malik H, Iqbal A, Kumar Yadav A (2020) "Soft computing in condition monitoring and diagnostics of electrical and mechanical systems." In Novel methods for condition monitoring and diagnostics, p. 499. Springer

  8. Nabipour N, Daneshfar R, Rezvanjou O, Mohammadi-Khanaposhtani M, Baghban A, Xiong Q, Li LKB, Habibzadeh S, Doranehgard MH (2020) Estimating biofuel density via a soft computing approach based on intermolecular interactions. Renewable Energy 152:1086–1098

    Article  Google Scholar 

  9. Rosso-Cerón AM, León-Cardona DF, Kafarov V (2021) Soft computing tool for aiding the integration of hybrid sustainable renewable energy systems, case of Putumayo, Colombia. Renew Energy 174:616–634

    Article  Google Scholar 

  10. Fan J, Wang X, Zhang F, Ma X, Wu L (2020) Predicting daily diffuse horizontal solar radiation in various climatic regions of China using support vector machine and tree-based soft computing models with local and extrinsic climatic data. J Clean Prod 248:119264

    Article  Google Scholar 

  11. Muriithi N, Crawford L (2003) Approaches to project management in Africa: implications for international development projects. Int J Project Manage 21(5):309–319

    Article  Google Scholar 

  12. Aladwani AM (2002) IT project uncertainty, planning and success: an empirical investigation from Kuwait. Inf Technol People 15(3):210–226

    Article  Google Scholar 

  13. Schoeberl M (2007) A Java processor architecture for embedded real-time systems. J Syst Architect.

    Article  Google Scholar 

  14. Shoaib M, Salahudin H, Hammad M, Ahmad S, Khan AA, Khan MM, Baig MAI, Ahmad F, Ullah MK (2021) Performance evaluation of soft computing approaches for forecasting COVID-19 pandemic cases. SN Comput Sci 2(5):1–13

    Article  Google Scholar 

  15. Kolodenkova A, Vereshchagina S, Novokschenov S (2020) Technical diagnostics of industrial equipment based on soft computing technologies." In 2020 international multi-conference on industrial engineering and modern technologies (FarEastCon), pp. 1–5. IEEE

  16. Nhu V-H, Samui P, Kumar D, Singh A, Hoang N-D, Tien Bui D (2020) Advanced soft computing techniques for predicting soil compression coefficient in engineering project: a comparative study. Eng Comput 36(4):1405–1416

    Article  Google Scholar 

  17. Malhotra S, Dhawan S (2021) Parameter estimation of software reliability using soft computing techniques. In Proceedings of international conference on machine intelligence and data science applications, pp. 329–343. Springer, Singapore

  18. Yanling H, Qi Z, Chunxiao C (2011) Discussion on the construction of meteorological multimedia integrated information release system [C]. Abstract of 2011 annual meeting of meteorological communication and Information Technology Committee of China Meteorological Society and National Meteorological Information Center

  19. Xiao Q (2011) Design and development of campus network multimedia information publishing system [D]. Univ Electron Sci Technol

  20. Ali H, Hasan M (2010) Adaptive time-sharing distribution information publication system[C]. International symposium on information processing, 342–346

  21. Plageras AP, Psannis KE, Stergiou C, Wang H, Gupta BB (2018) Efficient IoT-based sensor BIG Data collection–processing and analysis in smart buildings. Futur Gener Comput Syst 82:349–357

    Article  Google Scholar 

  22. Ramkumar S, Kartheeswaran S, BarathKesavan M, Lavakumar V, Elanjiyam G, Thamaraiselvi G, ShanmugaPriya B (2021) A bibliometric study on soft computing techniques and applications in top most populated Asian countries. Mater Today Proc 37:2938–2946

    Article  Google Scholar 

  23. Abed W, Aish Q, Hamed A (2021) Performance monitoring of aircraft PMSM based on soft computing technique. Period Eng Nat Sci (PEN) 9(1):293–300

    Google Scholar 

  24. Lohi L, Pai ML (2022) Death prediction in the current pandemic scenario and cluster classification using soft computing techniques. In Advanced computing and intelligent technologies, pp. 339–354. Springer, Singapore

  25. Zhang S, Wenai S (2007) Analysis of management information system based on C/s and B/s combination mode [J]. Inf Commun 20(6):57–59

    Google Scholar 

  26. Das SR, Ray PK, Mohanty A, Das H (2021) Performance evaluation of multilevel inverter based hybrid active filter using soft computing techniques. Evol Intel 14(2):345–355

    Article  Google Scholar 

  27. Venkatraj S (2021) An intelligent soft computing technique based solution to economic load dispatch problem in power system. Turkish J Comput Math Educ (TURCOMAT) 12(12):685–694

    Google Scholar 

Download references

Author information

Authors and Affiliations



The authors have the same contribution to the paper.

Corresponding author

Correspondence to Lili Xie.

Ethics declarations

Conflict of interest

The authors declare no competing interests.

Additional information

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Xie, L., Zhao, J. & Sun, R. Digital personalized healthcare web archive collection and storage model based on soft computing and edge-driven multimodal system. Pers Ubiquit Comput (2022).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI:


  • Multimedia technology
  • Intelligent information management system
  • Digital storage
  • Soft computing
  • Edge-driven system
  • Personalized healthcare