Context-Awareness Modeling Method using Timed Petri-nets 


Vol. 36,  No. 4, pp. 354-361, Apr.  2011


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  Abstract

Increasing interest and technological advances in smart home has led to active research on context-awareness service and prediction algorithms such as Bayesian Networks, Tree-Dimensional Structures and Genetic prediction algorithms. Context-awareness service presents that providing automatic customized service regarding individual user's pattern surely helps users improve the quality of life. However, it is difficult to implement context-awareness service because the problems are that handling coincidence with context information and exceptional cases have to consider. To overcome this problem, we proposes an Intelligent Sequential Matching Algorithm(ISMA), models context-awareness service using Timed Petri-net(TPN) which is petri-net to have time factor. The example scenario illustrates the effectiveness of the Timed Petri-net model and our proposed algorithm improves average 4~6% than traditional in the accuracy and reliability of prediction.

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  Cite this article

[IEEE Style]

B. Park and H. Kim, "Context-Awareness Modeling Method using Timed Petri-nets," The Journal of Korean Institute of Communications and Information Sciences, vol. 36, no. 4, pp. 354-361, 2011. DOI: .

[ACM Style]

Byungsung Park and Hagbae Kim. 2011. Context-Awareness Modeling Method using Timed Petri-nets. The Journal of Korean Institute of Communications and Information Sciences, 36, 4, (2011), 354-361. DOI: .

[KICS Style]

Byungsung Park and Hagbae Kim, "Context-Awareness Modeling Method using Timed Petri-nets," The Journal of Korean Institute of Communications and Information Sciences, vol. 36, no. 4, pp. 354-361, 4. 2011.