A Framework for an Advanced Learning Mechanism in Context-aware Systems using Improved Back-Propagation Algorithm


The KIPS Transactions:PartD, Vol. 14, No. 1, pp. 139-144, Feb. 2007
10.3745/KIPSTD.2007.14.1.139,   PDF Download:

Abstract

In seeking to improve the workload efficiency and inference capability of context-aware systems, we propose a new framework for an advanced learning mechanism that uses improved back propagation (BP) algorithm. Even though a learning mechanism is one of the most important parts in a context-aware system, the existing algorithms focused on facilitating systems by elaborating the learning mechanism with user’s context information are rare. BP is the most adaptable algorithm for learning mechanism of context-aware systems. By using the improved BP algorithm, the framework we proposed drastically improves the inference capability so that the overall performance is far better than other systems. Also, using the special system cache, the framework manages the workload efficiently. Experiments show that there is an obvious improvement in overall performance of the context-awareness systems using the proposed framework.


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Cite this article
[IEEE Style]
W. Zha, S. H. Eo, G. B. Kim, S. K. Cho, H. Y. Bae, "A Framework for an Advanced Learning Mechanism in Context-aware Systems using Improved Back-Propagation Algorithm," The KIPS Transactions:PartD, vol. 14, no. 1, pp. 139-144, 2007. DOI: 10.3745/KIPSTD.2007.14.1.139.

[ACM Style]
Wei Zha, Sang Hun Eo, Gyoung Bae Kim, Sook Kyoung Cho, and Hae Young Bae. 2007. A Framework for an Advanced Learning Mechanism in Context-aware Systems using Improved Back-Propagation Algorithm. The KIPS Transactions:PartD, 14, 1, (2007), 139-144. DOI: 10.3745/KIPSTD.2007.14.1.139.