Summary
Objectives:
Introduction of a new grid-based method for analyzing speech functions which takes into account the related information of patients’ data and the oral air flow with pronouncing analyzed by computational fluid dynamics.
Methods:
An on-line speech analyzer was developed for clinical use utilizing GridPort2.3.1 based on glo-bus2.4.2, comprising several computational tools such as unified data storage, semantic data analysis, computational fluid dynamics analysis and three-dimensional visualization of calculated results from different hardware sources with various types of operation systems.
Results:
The power transportation layer between dental clinics and computational and storage resources could be provided by using a WWW-based portal. The back-end data management system could be constructed using a storage resource broker (SRB) and extensible mark up language (XML).
Conclusions:
The new method allows the construction of a data warehouse through this grid-based speech function analysis in order to extract the principal factors related to speech disorders.
A Novel Data Storage Solution for Cloud