This paper deals with robust design in preliminary design. The proposed robust optimization approach is developed for analytical design models coming from the FEM/RSM or from approximation of physical laws. Moreover, it considers variability on design parameters. Towards a global robust and deterministic optimization we propose to implement a robust analysis method to get the links between vari...

This paper includes different approaches for adaptive wavelet threshold (Bayes Shrink and Normal Shrink) and a robust wavelet domain method for noise filtering in ultrasound images. The search for efficient image denoising methods is still a valid challenge at the crossing of functional analysis and statistics. The proposed work in this paper extends the existing technique by improving the thre...

One of the most pervasive problems in large-scale engineering projects is the difficulty in properly fitting all individual parts together. The prohibitively high investment of using physical mockups has led to pre-assembly being performed almost entirely digital. Unfortunately, the vast complexity of full CAD datasets can not be handled by available highend graphics hardware. In this article w...