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http://bura.brunel.ac.uk/handle/2438/5281
Title: | Intelligent multimedia transmission for back pain treatment |
Authors: | Ghinea, G Magoulas, GD Frank, AO |
Keywords: | Back pain;Adaptive transmission protocols;Quality of perception;Quality of service;Multi criteria decision making;Fuzzy preference programming method |
Issue Date: | 2002 |
Publisher: | EUNITE |
Citation: | European Symposium on Intelligent Technologies, Hybrid Systems and Their Implementation on Smart Adaptive Systems (EUNITE 2002). 309-316. 2002 |
Abstract: | Remote, multimedia-based, collaboration in back pain treatment is an option which only recently has come to the attention of clinicians and IT providers. The take up of such applications will inevitably depend on their ability to produce an acceptable level of service over congested and unreliable public networks However, although the problem of multimedia application-level performance is closely linked to both the user perspective of the experience as well as to the service provided by the underlying network, it is rarely studied from an integrated viewpoint. To alleviate this problem in the context of a multimedia application, a method is proposed in this paper for obtaining a priority order of low-level Quality of Service parameters, which would ensure that user-level Quality of Perception is maintained at an optimum level. Thus we present an approach that integrates technical concerns with user perceptual considerations for intelligent decision-making in the construction of tailor-made multimedia communication protocols. The proposed approach, based on multicriteria decision making, incorporates not only classical networking considerations, but, indeed, user preferences as well. Moreover, our approach also opens the possibility for such protocols to dynamically adapt based on a changing operating environment and user preferences. |
Description: | Copyright @ 2002 EUNITE |
URI: | http://bura.brunel.ac.uk/handle/2438/5281 http://www.eunite.org/eunite/events/eunite2003/CfP1st.pdf |
Appears in Collections: | Computer Science Dept of Computer Science Research Papers |
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