Progressive ray-casting volume rendering with WebGL for visual assessment of air void distribution in quality control

2019 ◽  
Author(s):  
Ander Arbelaiz ◽  
Aitor Moreno ◽  
Iñigo Barandiaran ◽  
Alejandro García-Alonso
Keyword(s):  
Quality Control ◽  
Volume Rendering ◽  
Visual Assessment ◽  
Ray Casting ◽  
Void Distribution ◽  
Air Void

Performance-based assessment of Nahr Al-Fidar bridge

2019 ◽  
Author(s):  
Nisrine Makhoul
Keyword(s):  
Quality Control ◽  
Service Life ◽  
Performance Indicators ◽  
Visual Inspection ◽  
Visual Assessment ◽  
Economic Losses ◽  
Performance Goals ◽  
Control Plan ◽  
Performance Based Assessment ◽  
Bridge Reconstruction

<p>Nahr Al-Fidar Bridge is in Fidar village, which is located near Byblos City, Lebanon. The bridge reconstruction was carried out swiftly during 2006-2007, due to its importance as a vital commercial artery. Indeed, no traffic disruption is allowed on the bridge, since it leads to great economic losses. At the time being, even though the bridge has only accomplished about 10 years of its service life, it is being overloaded.</p><p>The paper aims to assess the performance of Nahr Al-Fidar bridge. To that purpose, first, the case bridge is introduced, and a visual inspection took place to identify current the state of the bridge. Second, the performance indicators are evaluated for this bridge, by means of the visual assessment, and the key performance indicators are assessed. The aim is to check if the bridge meets the pre-specified performance goals. Finally, a quality control plan is implemented for Nahr Al-Fidar bridge.</p>

scholarly journals FOCAL REGION-BASED VOLUME RENDERING

2006 ◽  
Vol 20 (05) ◽  
pp. 665-677 ◽  
Author(s):  
JIANLONG ZHOU ◽  
ZHIYAN WANG ◽  
KLAUS D. TÖNNIES
Keyword(s):  
Volume Rendering ◽  
Contextual Information ◽  
Focal Region ◽  
Ray Casting ◽  
Volumetric Data ◽  
Data Set ◽  
Volume Of Interest ◽  
Bounded Volume ◽  
Volume Ray Casting ◽  
Main Components

In this paper, a new approach named focal region-based volume rendering for visualizing internal structures of volumetric data is presented. This approach presents volumetric information through integrating context information as the structure analysis of the data set with a lens-like focal region rendering to show more detailed information. This feature-based approach contains three main components: (i) A feature extraction model using 3D image processing techniques to explore the structure of objects to provide contextual information; (ii) An efficient ray-bounded volume ray casting rendering to provide the detailed information of the volume of interest in the focal region; (iii) The tools used to manipulate focal regions to make this approach more flexible. The approach provides a powerful framework for producing detailed information from volumetric data. Providing contextual information and focal region renditions at the same time has the advantages of easy to understand and comprehend volume information for the scientist. The interaction techniques provided in this approach make the focal region-based volume rendering more flexible and easy to use.

Calculating Air Voids at Specified Number of Gyrations in Superpave Gyratory Compactor

1998 ◽  
Vol 1630 (1) ◽  
pp. 117-125 ◽  
Author(s):  
William R. Vavrik ◽  
Samuel H. Carpenter
Keyword(s):  
Quality Control ◽  
Current Method ◽  
Mixture Design ◽  
Calculation Procedure ◽  
Air Voids ◽  
Superpave Gyratory Compactor ◽  
Quality Control Testing ◽  
Field Quality ◽  
Back Calculation ◽  
Air Void

The Superpave volumetric mix design is based on compaction of mixtures to Nmax revolutions, yielding approximately 2 percent air voids, and then back-calculating the properties of the mixture at N design revolutions, which is the specified number of revolutions at which the sample should achieve 4 percent air voids. It has been shown, both in mixture design and in field quality control testing, that this back-calculation procedure is not always accurate for determining the number of gyrations that give 4 percent air voids in the compacted sample. The current back-calculation procedure is examined in this paper, and the observed inaccuracy in the current method is shown in both quality control/quality assurance (QC/QA) and the mixture design procedures. Also examined is an alternative method that has been shown to be more accurate in predicting the number of gyrations at which a mixture reaches a given air void level. This study recommends a method that gives higher accuracy in determining the number of gyrations at which a mixture reaches 4 percent air voids. A diverse group of mixtures, each having different properties, was examined, and an improved method for predicting the number of gyrations to accurately produce 4 percent air voids in the compacted mixture was determined.

NEC Density and Liver ROI S/N Ratio for Image Quality Control of Whole-Body FDG-PET Scans: Comparison with Visual Assessment

2009 ◽  
Vol 11 (6) ◽  
pp. 480-486 ◽  
Author(s):  
Tetsuro Mizuta ◽  
Michio Senda ◽  
Terue Okamura ◽  
Keishi Kitamura ◽  
Yuichi Inaoka ◽  
...  
Keyword(s):  
Quality Control ◽  
Image Quality ◽  
Fdg Pet ◽  
Visual Assessment ◽  
Whole Body ◽  
Image Quality Control ◽  
Pet Scans
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