Paper Info
Title
Intelligent context-awareness system using improved self-adaptive back propagation algorithm
Abstract
Since the context plays a significant role in ubiquitous computing environment, many researches have studied about context-awareness system to improve the performance. An efficient learning mechanism is in importance of context-aware system, but there are seldom algorithms focused on convenience of systems by elaborating the learning mechanism with user's context information. As one of the most adaptable algorithm, Back Propagation provides us favorable inference capability. In this paper, we concentrate on improving the predict ability and reducing the system workload by proposing improved selfadaptive back propagation algorithm. The middleware we proposed improves the predicate capability. Thus, the overall performance becomes better than other systems. By adding system cache to middleware, it is possible for the context-aware system to act faster and improve the workload efficiency. Experiments show that there is an obvious improvement in overall performance of the context-awareness systems.
Year
DOI
Venue
2007
10.1007/978-3-540-75664-4_33
SEUS
Keywords
Field
DocType
system workload,predicate capability,adaptable algorithm,intelligent context-awareness system,overall performance,context-awareness system,propagation algorithm,favorable inference capability,efficient learning mechanism,context information,improved self-adaptive,context-aware system,system cache,middleware,back propagation
Middleware,Back propagation algorithm,Workload,Cache,Inference,Computer science,Real-time computing,Context awareness,Ubiquitous computing,Backpropagation,Distributed computing
Conference
Volume
ISSN
ISBN
4761
0302-9743
3-540-75663-9
Citations 
PageRank 
References 
2
0.36
8
Authors
5
Name
Order
Citations
PageRank
Sang Hun Eo1193.52
Wei Zha2689.52
Byeong-Seob You381.94
Dongwook Lee441862.32
Hae-Young Bae57831.47