Chergui K, Mazouz H.
A biomimetic uncemented hip resurfacing with a novel design versus a conventional Co–Cr–Mo hip resurfacing implant: A finite element study. Congrès Algérien de Mécanique November 26—30, [Internet]. 2017.
Publisher's VersionAbstract
A three-dimensional finite element method (FEM) simulation was carried out in order to
exploit a new resurfacing prothesis design named MARMEL, proposed by a recent study with Co–Cr–
Mo material [1], for comparing a hip uncemented resurfacing with a novel carbon fiber/polyamide 12
(CF/PA12) composite to Co–Cr–Mo hip resurfacing implant.
From FE analysis, the von Mises stress range for the Composite hip resurfacing was much lower than
that in the Co–Cr–Mo hip resurfacing implant used in this comparison.
These outcomes showed that the biomimetic MARMEL hip resurfacing had the potential to reduce stress
shielding and prevent from bone fracture compared to conventional hip resurfacing implants.
Dahraoui N, Boulakroune M’hamed, Benatia D.
Importance of Noise Reduction and Suppression of Artifacts in Restoration Techniques: A State-of-the-Art. 5th International Conference on Control Engineering&Information Technology (CEIT-2017) Proceeding of Engineering and Technology –PET [Internet]. 2017;32 :32-36.
Publisher's VersionAbstract
The Removal of noise and restoration of signals has been one of the most interesting researches in the field of signal processing in the past few year. In this paper, we have tested various deconvolution algorithms proposed in literature, using denoised signal (by wavelets techniques in our case) instead of measured one which is the real signal degraded by measurement procedure. It is very difficult to compare algorithms because the results obtained depend heavily on signal quality (signal-to-noise ratio, sampling), and on algorithm parameters and optimizations. Which criteria should be used to compare signals? Our algorithm which based on Tikhonov-Miller regularization and a model of solution, is a iterative algorithm, gives best results without artifacts and oscillations related to noise, and achieves higher-quality denoising and a high restoration ratio for noisy signal than the existing methods.