Quality Control of Information Engineering Surveillance Based on Baum-Welch Algorithm

Abstract:

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A new method of Quality Control for Information Engineering Surveillance based on Hidden Markov Model (HMM) has been proposed and the related model been built by us. The process of information engineering quality surveillance can be seen as a two-layered random process. The five elements of HMM correspond with the process of quality surveillance through abstracting the characteristics of the surveillance process. Software quality can be estimated under the model. In this paper, we divided the five elements. Therefore, the model was improved from single dimension to multi-dimension, trained by Baum-Welch algorithm. Experimental results show that the proposed model proves to be feasible and real-time when it is used for quality control.

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Periodical:

Edited by:

Helen Zhang and David Jin

Pages:

178-181

DOI:

10.4028/www.scientific.net/AMM.63-64.178

Citation:

H. Z. Liu and L. Gao, "Quality Control of Information Engineering Surveillance Based on Baum-Welch Algorithm", Applied Mechanics and Materials, Vols. 63-64, pp. 178-181, 2011

Online since:

June 2011

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$35.00

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