Design of a User Location Prediction Algorithm Using the Cache Scheme 


Vol. 32,  No. 6, pp. 375-381, Jun.  2007


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  Abstract

This paper focuses on the prediction algorithm among the context-awareness technologies. With a representative algorithm, Bayesian Networks, it is difficult to realize a context-aware as well as to decrease process time in real-time environment. Moreover, it is also hard to be sure about the accuracy and reliability of prediction. One of the simplest algorithms is the sequential matching algorithm. We use it by adding the proposed Cache Scheme. It is adequate for a context-aware service adapting user’s habit and reducing the processing time by average 48.7% in this paper. Thus, we propose a design method of user location prediction algorithm that uses sequential matching with the cache scheme by taking user’s habit or behavior into consideration. The novel approach will be dealt in a different way compared to the conventional prediction algorithm.

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  Cite this article

[IEEE Style]

B. Son, S. Kim, E. Nahm, H. Kim, "Design of a User Location Prediction Algorithm Using the Cache Scheme," The Journal of Korean Institute of Communications and Information Sciences, vol. 32, no. 6, pp. 375-381, 2007. DOI: .

[ACM Style]

Byounghee Son, Sanghee Kim, Euiseok Nahm, and Hagbae Kim. 2007. Design of a User Location Prediction Algorithm Using the Cache Scheme. The Journal of Korean Institute of Communications and Information Sciences, 32, 6, (2007), 375-381. DOI: .

[KICS Style]

Byounghee Son, Sanghee Kim, Euiseok Nahm, Hagbae Kim, "Design of a User Location Prediction Algorithm Using the Cache Scheme," The Journal of Korean Institute of Communications and Information Sciences, vol. 32, no. 6, pp. 375-381, 6. 2007.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880