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<p>A modified mixed Gaussian plus impulse image denoising algorithm based on weighted encoding with image sparsity and nonlocal self-similarity priors regularization is proposed in this paper. The encoding weights and the priors imposed on the images are incorporated into a variational framework to treat more complex mixed noise distribution. Such noise is characterized by heavy tails caused by impulse noise which needs to be eliminated through proper weighting of encoding residual. The outliers caused by the impulse noise has a significant effect on the encoding weights. Hence a more accurate residual encoding error initialization plays the important role in overall denoising performance, especially at high impulse noise rates. In this paper, outliers free initialization image, and an easier to implement a parameter-free procedure for updating encoding weights have been proposed. Experimental results demonstrate the capability of the proposed strategy to recover images highly corrupted by mixed Gaussian plus impulse noise as compared with the state of art denoising algorithm. The achieved results motivate us to implement the proposed algorithm in practice.</p>

The impact of micro-pin fins on heat transfer performance in this study is analyzed numerically. Navier-Stokes equations are solved by steady-state three dimensions turbulent forced convection. Various numbers of micro-pin fins with in-line configuration and different micro-pin fins configurations such as staggered configuration additionally to the in-line configuration are explored. In addition, comparison between micro-pin fins duct and smooth duct is studied. Results illustrate that the thermal performance was enhanced by 7.9 - 9.3% with increasing the number of micro-pin fins from 902 to 1312 and by 10.2 - 11.1% with increasing the number from 902 to 1640. Also, displays that the heat transfer performance in the staggered configuration is slightly better than the in-line configuration by 2.6 - 4.2% with the same micro-pin fins number. Moreover, the micro-pin fins duct gave an increase of 30.24% in heat transfer performance relative to the smooth duct.

The effect of three stir casting temperatures (ST) (900, 1000, and 1100 on magnetic and microstructure properties of AA5052 reinforced with 5wt% TiO2 nanoparticles has been investigated using the stir casting technique. It was found that the magnetic properties decrease with increasing stir casting temperature and the least magnetic saturation (Ms) and magnetic susceptibility (Xm) occurred for nanocomposite fabricated under stir casting temperature (1000 °C) also the maximum coercivity (Hc) and residual magnetization (Mr) occurred in this nanocomposite. The values of magnetic saturation (Ms), coercivity (Hc) and residual magnetization (Mr) obtained for nanocomposite under (1000 °C) are 2.714×10−6 (A/m), 4676.55530 (A/m) and 3.25032 ×10−8 (A/m), respectively. Scanning electron microscopy (SEM) is used to analyze the microstructure, and it is discovered that well-distributed nano particles lead to decrease grain size in the parent phase.