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Application of grammatical evolution to coefficient identification problem in two-dimensional elastic problem

Kuroda T., Sugiura H., Kita E.

Computer Assisted Methods in Engineering and Science

2013

Vol. 20, no. 1

3--13

Grammatical evolution (GE), which is a kind of evolutionary algorithms, is designed to find a function, an executable program or program fragment that will achieve a good fitness value for the given objective function to be minimized. In this study, GE is applied for the coefficient identification problem of the stiffness matrix in the two-dimensional elastic problem. Finite element analysis of the plate with a circular hole is performed for determining the set of the stress and the strain components. Grammatical evolution determines the coefficient matrix of the relationship between the stress and strain components. The coefficient matrix is compared with Hooke's law in order to confirm the validity of the algorithm. After that, three algorithms are shown for improving the convergence speed of the original GE algorithm.

Method to develop pseudo three-dimensional dental image from dental panoramic radiograph

Kuroda T., Kaga T., Azuma H., Yagi M., Kuroda Y., Imura M., Oshiro O., Takada T.

Biocybernetics and Biomedical Engineering

2011

Vol. 31, no. 2

59-70

Although three-dimensional imaging can be a powerful tool for dentists to explain treatments to patients, obtaining of three-dimensional image of teeth in general dental clinics is difficult. This paper proposed a method to develop pseudo three-dimensional dental image from conventional dental panoramic radiograph and dental impression. The method estimates imaging parameters of given panoramic radiograph through comparison with dental cast, and re-projects the radiograph into three-dimensional space. The developed pseudo three-dimensional image gives clear impression of the patient's dental condition.