NDLI: A ubiquitous context-sensitive multimodal multimedia computing system and its machine learning-based reconfiguration at the architectural level

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A ubiquitous context-sensitive multimodal multimedia computing system and its machine learning-based reconfiguration at the architectural level

Content Provider	IEEE Xplore Digital Library
Author	Hina, M.D. Ramdane-Cherif, A. Tadj, C.
Copyright Year	2005
Description	Author affiliation: Dept. of Electr. Eng., Univ. du Quebec, Montreal, Que., Canada (Hina, M.D.)
Abstract	In this paper, we present our work on a ubiquitous context-sensitive multimodal multimedia computing system that progressively acquires machine knowledge. This ubiquitous computing system supports an automatic selection of media and modalities deemed appropriate for the user's context and user's profile. The ability of the system to do so constitutes its acquired knowledge. The decision making for media/modality selection takes into account if the user has some special needs due to disability. The architecture of the system is designed to be pervasive and is conceived to resist failure. In case of one or more components being missing or found defective, the machine would resist failure by reconfiguring itself dynamically in the architectural level. It finds alternative replacement to the failed component using its acquired knowledge.
File Size	345284
File Format	PDF
ISBN	0769524893
DOI	10.1109/ISM.2005.24
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-12-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	IEEE/CSP
Subject Keyword	Multimedia computing Pervasive computing Resists Computer architecture Ubiquitous computing Machine learning Knowledge acquisition Speech Laboratories Councils
Content Type	Text
Resource Type	Article

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