The PETECUBE project consists of a series of musical interfaces designed to explore multi-modal feedback. This paper will briefly describe the definition of multimodal feedback, the aim of the project, the development of the first PETECUBE and proposed further work.

According to the great importance of safety in aerospace industries, identification of dynamic parameters of related equipment by experimental tests in operating conditions has been in focus. Due to the existence of noise sources in these conditions the probability of fault occurrence may increases. This study investigates the effects of noise in the process of modal parameters identification b...

The modal testing has proven to be an effective and non-destructive test method for estimation of the dynamic stiffness and damping constant. The aim of the present paper is to investigate the modal response of stiffened Fiber Metal Laminated (FML) circular cylindrical shells using experimental and numerical techniques. For this purpose, three types of FML-stiffened shells are fabricated by a s...

Kannisto (2001) has shown that as the frequency distribution of ages at death has shifted to the right, the age distribution of deaths above the modal age has become more compressed. In order to further investigate this old-age mortality compression, we adopt the simple logistic model with two parameters, which is known to fit data on old-age mortality well (Thatcher 1999). Based on the model, ...

ABSTRACT In the presentwork finite element method and fuzzy-KSOM hybrid technique are used for localization of damagepresent in form of cracks in the cantilever beam. The presence of cracks in the beam like structures is a serious threat to the performance as well as integrity of structures and itschange the modal indics e.g. natural frequencies and mode shapes of the structures.The glass fiber...

A robust multi-modal tool, for automated registration, bias correction, and tissue classification, has been implemented for large-scale heterogeneous multi-site longitudinal MR data analysis. This work focused on improving the an iterative optimization framework between bias-correction, registration, and tissue classification inspired from previous work. The primary contributions are robustness...