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Logical Delivery Context Model for Device-Independent Web Adaptive Interaction in Mobile Environment

Authors: Aimin Liang; Suwei Guo; Xiaohu Zhang;

Logical Delivery Context Model for Device-Independent Web Adaptive Interaction in Mobile Environment

Abstract

Current research activities mobile device modeling mainly custom in physical traits abstraction in self adapting framework. But Iogical device interactive performances are more magnitude then there are mobile users participating then accessing ever their handheld gadgets, and designing an adaptive access application, customized device Iogical attributes ill act as most imperative rules. T construct open and scalable mobile services, a new logic DT is introduced there describing the interactive performance parameters. With metadata characters and Iogic device classification, DT can support device independent e-based applications deployment, autonomous adaptation and modulation. Via the abstracting and labeling Iogarithms, e-server can not fetch Iogic traits rm primitive device parameters in u y Iogic. Detailed forrmalization styles are presentation in this paper. With specific device model, a regained Iogic DT based adapting can satisfy device impendent e-access in mobile computing environments.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Top 10%
Average
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