Skip to main content
SpringerLink
Log in

Autonomic Communication in Pervasive Multimodal Multimedia Computing System

  • Chapter
  • First Online:
Autonomic Communication

Abstract

Autonomic communication in a computing system analyzes the individual system element as it is affected by and affects other elements. In the human-machine communication aspect, the autonomic system performs its services autonomously, adjusting the behavior of its services to suit what the user might request implicitly or explicitly. The pervasive multimodal multimedia computing system aims at realizing anytime, anywhere computing. Its autonomic communication includes the protocols that selects, on behalf of the user, the modalities and media devices that are appropriate to the given interaction context. The modalities are the modes of interaction (i.e. for data input and output) between the user and the computer while the media devices are the physical devices that are used to support the chosen modalities. The interaction context itself is the combined user, environment, and system contexts. In this paper, we present the autonomic communication protocols involved in the detection of interaction context and the multimodal computing system’s corresponding adaptation. The heart of this paradigm’s design is the machine learning’s knowledge acquisition and the use of the layered virtual machine for definition and detection of interaction context.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Weiser, M.: The computer for the twenty-first century, 1991. 265(3), pp: 94-104

    Google Scholar 

  2. Satyanarayanan, M.: Pervasive Computing: Vision and Challenges. IEEE Personal Communications, 2001. 8(4): pp. 10-17

    Article  Google Scholar 

  3. Vasilakos, A. V., Pedrycz, W. (2006) Ambient Intelligence, Wireless Networking, Ubiquitous Computing. ArtecHouse, USA

    Google Scholar 

  4. Centre for Pervasive Healthcare, 2007, http://www.pervasivehealthcare.dk/

  5. Pahlavan, K., Krishnamurthy, P. (2002) Principles of wireless Networks. Prentice Hall, USA

    Google Scholar 

  6. Satyanarayanan, M.: Mobile information access. IEEE Personal Communications, 1996. 3(1): pp. 26-33

    Article  Google Scholar 

  7. Satyanarayanan, M.: Scalable, secure and highly available distributed file access. Computer, 1990. 23(5): pp. 9-18

    Article  Google Scholar 

  8. Djenidi, H., Tadj, C., Ramdane-Cherif, A., Levy, N.: Generic Multimedia multimodal agents paradigms and their dynamic reconfiguration at the architectural levels. Eurasip Journal of Applied Signal Processing, 2004. 200491): pp. 1688-1707

    Google Scholar 

  9. Djenidi, H., Tadj, C., Ramdane-Cherif, A., Levy, N.: Dynamic Multi-agent Architecture for Multimedia Multimodal Dialogs. IEEE Workshop on Knowldege Media Networking, 2002. pp. 107-113

    Google Scholar 

  10. Mitchell, T. (1997) Machine Learning. Mc-Graw Hill, USA

    MATH  Google Scholar 

  11. Ringland, S.P.A., Scahill, F.J.: Multimodality - The future of wireless user interface, 2003. 21(3): pp. 181-191

    Google Scholar 

  12. Oviatt, S.L., Cohen, P.R.: Multimodal Interfaces that Process What Comes Naturally. Communications of the ACM, 2000. 43(3): pp. 45-53

    Article  Google Scholar 

  13. Schroeter, J. et al: Multimodal Speech Synthesis. IEEE International Conference on Multimedia and Expo, 2000. Vol. 1: pp. 571-574

    Google Scholar 

  14. Awde, A., Hina, M.D., Tadj, C. Ramdane-Cherif, C., Bellik, Y.: A Paradigm of a Pervasive Multimodal Multimedia Computing System for the Visually-Impaired Users. GPC 2006, LNCS, Springer-Verlag: pp. 620-633

    Google Scholar 

  15. Oviatt, S. L.,: Designing the User Interface for multimodal speech and Gesture Applications: State-of-the-art Systems and Research Directions. Human Computer Interaction, 2000. 15(4): pp. 263-322

    Article  Google Scholar 

  16. Rubin, P., Vatikiotis-Bateson, E., Benoit, C.: Audio-Visual Speech Processing. Speech Communications, 1998. 26(1-2)

    Google Scholar 

  17. Coutaz, J., et al: Context is key. Communications of the ACM, 2005. 48(3): pp. 49-53.

    Article  Google Scholar 

  18. Dey, A.K., Abowd, G.D.: Towards a Better Understanding of Context and Context-Awareness. 1st Intl. Conference on Handheld and Ubiquitous Computing. 1999. Karlsruhe, Germany: Springer-Verlag, LNCS 1707.

    Google Scholar 

  19. Dey, A.K.: Understanding and Using Context. Springer Personal and Ubiquitous Computing, 2001. 5(1): pp. 4 - 7.

    Article  Google Scholar 

  20. Rey, G., Coutaz, J.: Le contexteur: une abstraction logicielle pour la réalisation de systèmes interactifs sensibles au contexte. 14th French-speaking Conference on Human-Computer Interaction (Conférence Francophone sur l'Interaction Homme-Machine) IHM '02 2002. Poitiers, France: ACM Press

    Google Scholar 

  21. Shumate, K.: Layered virtual machine/object-oriented design. 5th Symposium on Ada. 1988: ACM Press, New York, NY, USA.

    Google Scholar 

  22. Antoniol, G., Penta, M.D.: A Distributed Architecture for Dynamic Analyses on User-profile Data. 8th European Conference on Software Maintenance and Reengineering. 2004.

    Google Scholar 

  23. Bougant, F., Delmond, F., Pageot-Millet, C.: The User Profile for the Virtual Home Environment. IEEE Communications Magazine, 2003. 41(1): pp. 93-98

    Article  Google Scholar 

  24. Garlan, D., et al, Project Aura: Towards Distraction-Free Pervasive Computing. Special Issue, Integrated Pervasive Computing Environments, 2002. 21(2): pp. 22-31

    Google Scholar 

  25. Schilit, B., Theimer, M.: Disseminating Active Map Information to Mobile Host. IEEE Network, 1994. 8(5): pp. 22-32.

    Article  Google Scholar 

  26. Pascoe, J.: Generic Contextual Capabilities to Wearable Computers. 2nd International Symposium on Wearable Computers. 1998.

    Google Scholar 

  27. Dey, A.K., et al., An Architecture to Support Context-Aware Applications. GVU Technical Report GIT-GVU-99-23. 1999.

    Google Scholar 

  28. Brown, P.J., Bovey, J.D., and Chen, X.: Context-Aware Applications: From the Laboratory to the Marketplace. IEEE Personal Communications. 1997. pp. 58 - 64

    Google Scholar 

  29. Ryan, N., Pascoe, J., Morse, D.: Enhanced Reality Fieldwork: the Context-Aware Archeological Assistant. Exxon Computer Applications in Archeology. 1997.

    Google Scholar 

  30. Ward, A., Jones, A., Hooper, A.: A New Location Technique for the Active Office. IEEE Personal Communications, 1997: p. 42 - 47.

    Google Scholar 

  31. Rey, G., Coutaz, J.: The Contextor Infrastructure for Context-Aware Computing. 18th European Conference on Object-Oriented Programming (ECOOP 04), Workshop on Component-Oriented Approach to Context-Aware Systems. 2004. Oslo, Norway.

    Google Scholar 

  32. Noise Measuring Device, ELK Company, http://www.bappu.com/

  33. Global Positioning System (GPS), http://www8.garmin.com/aboutGPS/

  34. Iris/Retinal Recognition, http://www.biometrics.gov/Documents/IrisRec.pdf

  35. Infrared Detector devices, http://www.eosystems.com/

  36. Measuring Light Intensity, http://www.emant.com/316002.page

  37. Extensible Markup Language (XML) Online, www.w3.org/XML

  38. Developer Resources for Java Technology, java.sun.com

    Google Scholar 

  39. Miraoui, M., Tadj, C., ben Amar, C.: Context Modeling and Context-Aware Service Adaptation for Pervasive Computing Systems. International Journal of Computer and Information Science and Engineering, 2008. 2(3): pp. 148 - 157

    Google Scholar 

  40. Noise Measuring Device. http://www.bappu.com/

  41. Lajmi, S., Ghedira, C., Ghedira, K.: Une méthode d'apprentissage pour la composition de services web. L'Objet, 2007. 8(2): pp. 1 - 4

    Google Scholar 

  42. Hina, M.D., Tadj, C., Ramdane-Cherif, A.: Design of an Incremental Learning Component of a Ubiquitous Multimodal Multimedia Computing System. WiMob 2006, 2nd IEEE International Conference on Wireless and Mobile Computing, Networking and Communications. 2006. Montreal, Canada : pp. 434-441.

    Google Scholar 

  43. Hina, M.D., Ramdane-Cherif, A., Tadj, C., Levy, N.: Infrastructure of a Context Adaptive and Pervasive Multimodal Multimedia Computing System. Journal of Information, Intelligence and Knowledge, 2009. 1(3): pp. 281-308

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. École de technologie supérieure, Université du Québec, Montréal, Québec, Canada

    Manolo Dulva Hina & Chakib Tadj

  2. PRISM Laboratory, Université de Versailles-Saint-Quentin-en-Yvelines, Versailles, France

    Manolo Dulva Hina & Nicole Lévy

  3. PRISM & LISV Laboratories, Université de Versailles-St-Quentin-en-Yvelines, Versailles, France

    Amar Ramdane-Cherif

Authors
  1. Manolo Dulva Hina
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Chakib Tadj
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Amar Ramdane-Cherif
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Nicole Lévy
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Manolo Dulva Hina .

Editor information

Editors and Affiliations

  1. Dept. Computer &, University of Western Macedonia, Agios Dimitrios Park, Kozani, 501 00, Greece

    Athanasios V. Vasilakos

  2. Electrical & Computer Engineering Dept., Rutgers University, Brett Road 94, Piscataway, 08854-8058, U.S.A.

    Manish Parashar

  3. Corporate Research Centre, SAP AG, Vincent-Prießnitz-Str. 1, Karlsruhe, 76131, Germany

    Stamatis Karnouskos

  4. Dept. Electrical & Computer Engineering, University of Alberta, 116 Street 9107, Edmonton, T6G 2V4, Canada

    Witold Pedrycz

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer Science+Business Media, LLC

About this chapter

Cite this chapter

Hina, M.D., Tadj, C., Ramdane-Cherif, A., Lévy, N. (2009). Autonomic Communication in Pervasive Multimodal Multimedia Computing System. In: Vasilakos, A., Parashar, M., Karnouskos, S., Pedrycz, W. (eds) Autonomic Communication. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-09753-4_10

Download citation

  • DOI: https://doi.org/10.1007/978-0-387-09753-4_10

  • Published:

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-09752-7

  • Online ISBN: 978-0-387-09753-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation