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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Weiser, M.: The computer for the twenty-first century, 1991. 265(3), pp: 94-104
Satyanarayanan, M.: Pervasive Computing: Vision and Challenges. IEEE Personal Communications, 2001. 8(4): pp. 10-17
Vasilakos, A. V., Pedrycz, W. (2006) Ambient Intelligence, Wireless Networking, Ubiquitous Computing. ArtecHouse, USA
Centre for Pervasive Healthcare, 2007, http://www.pervasivehealthcare.dk/
Pahlavan, K., Krishnamurthy, P. (2002) Principles of wireless Networks. Prentice Hall, USA
Satyanarayanan, M.: Mobile information access. IEEE Personal Communications, 1996. 3(1): pp. 26-33
Satyanarayanan, M.: Scalable, secure and highly available distributed file access. Computer, 1990. 23(5): pp. 9-18
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
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
Mitchell, T. (1997) Machine Learning. Mc-Graw Hill, USA
Ringland, S.P.A., Scahill, F.J.: Multimodality - The future of wireless user interface, 2003. 21(3): pp. 181-191
Oviatt, S.L., Cohen, P.R.: Multimodal Interfaces that Process What Comes Naturally. Communications of the ACM, 2000. 43(3): pp. 45-53
Schroeter, J. et al: Multimodal Speech Synthesis. IEEE International Conference on Multimedia and Expo, 2000. Vol. 1: pp. 571-574
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
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
Rubin, P., Vatikiotis-Bateson, E., Benoit, C.: Audio-Visual Speech Processing. Speech Communications, 1998. 26(1-2)
Coutaz, J., et al: Context is key. Communications of the ACM, 2005. 48(3): pp. 49-53.
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.
Dey, A.K.: Understanding and Using Context. Springer Personal and Ubiquitous Computing, 2001. 5(1): pp. 4 - 7.
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
Shumate, K.: Layered virtual machine/object-oriented design. 5th Symposium on Ada. 1988: ACM Press, New York, NY, USA.
Antoniol, G., Penta, M.D.: A Distributed Architecture for Dynamic Analyses on User-profile Data. 8th European Conference on Software Maintenance and Reengineering. 2004.
Bougant, F., Delmond, F., Pageot-Millet, C.: The User Profile for the Virtual Home Environment. IEEE Communications Magazine, 2003. 41(1): pp. 93-98
Garlan, D., et al, Project Aura: Towards Distraction-Free Pervasive Computing. Special Issue, Integrated Pervasive Computing Environments, 2002. 21(2): pp. 22-31
Schilit, B., Theimer, M.: Disseminating Active Map Information to Mobile Host. IEEE Network, 1994. 8(5): pp. 22-32.
Pascoe, J.: Generic Contextual Capabilities to Wearable Computers. 2nd International Symposium on Wearable Computers. 1998.
Dey, A.K., et al., An Architecture to Support Context-Aware Applications. GVU Technical Report GIT-GVU-99-23. 1999.
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
Ryan, N., Pascoe, J., Morse, D.: Enhanced Reality Fieldwork: the Context-Aware Archeological Assistant. Exxon Computer Applications in Archeology. 1997.
Ward, A., Jones, A., Hooper, A.: A New Location Technique for the Active Office. IEEE Personal Communications, 1997: p. 42 - 47.
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.
Noise Measuring Device, ELK Company, http://www.bappu.com/
Global Positioning System (GPS), http://www8.garmin.com/aboutGPS/
Iris/Retinal Recognition, http://www.biometrics.gov/Documents/IrisRec.pdf
Infrared Detector devices, http://www.eosystems.com/
Measuring Light Intensity, http://www.emant.com/316002.page
Extensible Markup Language (XML) Online, www.w3.org/XML
Developer Resources for Java Technology, java.sun.com
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
Noise Measuring Device. http://www.bappu.com/
Lajmi, S., Ghedira, C., Ghedira, K.: Une méthode d'apprentissage pour la composition de services web. L'Objet, 2007. 8(2): pp. 1 - 4
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.
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
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights 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)