Class Based Intelligent Community System for Ubiquitous Education and Medical Information System

  • Seoksoo Kim
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4252)


Various kinds of community method is being researched to design effective systems within the ubiquitous environment. The research aimed to provide smooth mutual interlock among systems by grouping classified class based intelligent systems and focused on easy scalability and modification. The basic model of the research was; each class contains its own applications and these services mutually interlock in complex platforms. The community considered in this research is a basis for providing combined management of medical equipments and applications within environment where compatibility is causing problems during migration, and is suitable for designing medical information system within the intelligent ubiquitous environment.


Medical Information Combine Management Wireless Body Area Network Classified Class Medical Information System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Kumar, M., et al.: PICO: A Middleware Framework for pervasive Compting. IEEE Persive Computing (July/September 2003)Google Scholar
  2. 2.
    Wang, B., Bodily, J., Gupta, S.K.S.: Supporting Persistent Social Group in Ubiquitous Computing Environments Using Context-Aware Ephemeral Group Service. In: Proc. 2nd IEEE International Conference on Pervasive Computing and Communications (PerCom), Orlando, FL, pp. 287–296 (March 2004)Google Scholar
  3. 3.
    Martin, T., Jovanov, E., Raskovic, D.: Issues in Wearable Computing for Medical Monitoring Applications: A Case Study of a Wearable ECG Monitoring Device. In: Proceedings of ISWC 2000, Atlanta, U.S.A (2000)Google Scholar
  4. 4.
    Istepanian, R.S.H., Jovanov, E., Zhang, Y.T.: Guest Editorial Introduction to the Special Section on M-Health: Beyond Seamless Mobility and Global Wireless Health-Care Connectivity. IEEE Transactions on Information Technology in Biomedicine 8(4), 405–414 (2004)CrossRefGoogle Scholar
  5. 5.
    Jovanov, E., Milenkovic, A., Otto, C., de Groen, P.C.: A Wireless Body Area Network of Intelligent Motion Sensors for Computer Assisted Physical Rehabilitation. Journal of NeuroEngineering and Rehabilitation 2(6) (March 2005)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Seoksoo Kim
    • 1
  1. 1.Department of Multimedia EngineeringHannam UniversityDaejeonKorea

Personalised recommendations