Wavelet Shrinkage for Enhanced Chemical Recognition in the Rough Surface Diffused Terahertz Spectra

Author(s):  
Mahmoud E. Khani ◽  
M. Hassan Arbab
1997 ◽  
Vol 51 (2-3) ◽  
pp. 119-132
Author(s):  
V. F. Naumenko ◽  
Leonid Aleksandrovich Pazynin ◽  
A. S. Bryukhovetsky

2005 ◽  
Vol 64 (10) ◽  
pp. 819-831
Author(s):  
F.G. Bass ◽  
D. V. Mikhaylova ◽  
V. Prosentsov ◽  
L. Resnick

2016 ◽  
Vol 44 (3) ◽  
pp. 150-173 ◽  
Author(s):  
Mehran Motamedi ◽  
Saied Taheri ◽  
Corina Sandu

ABSTRACT For tire designers, rubber friction is a topic of pronounced practical importance. Thus, development of a rubber–road contact model is of great interest. In this research, to predict the effectiveness of the tread compound in a tire as it interacts with the pavement, the physics-based multiscale rubber-friction theories developed by B. Persson and M. Klüppel were studied. The strengths of each method were identified and incorporated into a consolidated model that is more comprehensive and proficient than any single, existing, physics-based approach. In the present work, the friction coefficient was estimated for a summer tire tread compound sliding on sandpaper. The inputs to the model were the fractal properties of the rough surface and the dynamic viscoelastic modulus of rubber. The sandpaper-surface profile was measured accurately using an optical profilometer. Two-dimensional parameterization was performed using one-dimensional profile measurements. The tire tread compound was characterized via dynamic mechanical analysis. To validate the friction model, a laboratory-based, rubber-friction test that could measure the friction between a rubber sample and any arbitrary rough surface was designed and built. The apparatus consisted of a turntable, which can have the surface characteristics of choice, and a rubber wheel in contact with the turntable. The wheel speed, as well as the turntable speed, could be controlled precisely to generate the arbitrary values of longitudinal slip at which the dynamic coefficient of friction was measured. The correlation between the simulation and the experimental results was investigated.


Author(s):  
Ashish Dwivedi ◽  
Nirupma Tiwari

Image enhancement (IE) is very important in the field where visual appearance of an image is the main. Image enhancement is the process of improving the image in such a way that the resulting or output image is more suitable than the original image for specific task. With the help of image enhancement process the quality of image can be improved to get good quality images so that they can be clear for human perception or for the further analysis done by machines.Image enhancement method enhances the quality, visual appearance, improves clarity of images, removes blurring and noise, increases contrast and reveals details. The aim of this paper is to study and determine limitations of the existing IE techniques. This paper will provide an overview of different IE techniques commonly used. We Applied DWT on original RGB image then we applied FHE (Fuzzy Histogram Equalization) after DWT we have done the wavelet shrinkage on Three bands (LH, HL, HH). After that we fuse the shrinkage image and FHE image together and we get the enhance image.


PIERS Online ◽  
2007 ◽  
Vol 3 (5) ◽  
pp. 718-722 ◽  
Author(s):  
Wenzhe Yan ◽  
L. X. Xu ◽  
Yang Du ◽  
F. Sheng ◽  
Z. N. Li ◽  
...  

PIERS Online ◽  
2005 ◽  
Vol 1 (2) ◽  
pp. 187-191 ◽  
Author(s):  
Yang Du ◽  
Tao Xu ◽  
Yingliang Luo ◽  
J. A. Kong

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