Real‐time density computer for two‐color interferometers

1990 ◽  
Vol 61 (10) ◽  
pp. 2876-2878 ◽  
Author(s):  
P. Innocente ◽  
S. Martini ◽  
G. Corradi ◽  
G. Fadin ◽  
C. Fasoli ◽  
...  
Keyword(s):  
Real Time ◽  
Time Density

scholarly journals Towards Real-Time Density Profile Reconstruction With Cuda

2016 ◽  
Author(s):  
Pedro Carvalho ◽  
Diogo R. Ferreira ◽  
Horácio Fernandes ◽  
Luís Meneses
Keyword(s):  
Real Time ◽  
Density Profile ◽  
Profile Reconstruction ◽  
Time Density

Increased Net to Gross Ratio as the Result of an Advanced Well Placement Process Utilizing Real-Time Density Images

2004 ◽  
Author(s):  
Abdullah Al-Fawwaz ◽  
Osama Al-Yosef ◽  
Dia Al-Qudaihy ◽  
Yousef Al-Shobaili ◽  
Hassan Al-Faraj ◽  
...  
Keyword(s):  
Real Time ◽  
Well Placement ◽  
Net To Gross ◽  
Time Density

scholarly journals Innovative Use of Real Time Density Image in Well Placement

2010 ◽  
Author(s):  
O. BABAYEJU ◽  
E. Brentjens ◽  
L. Clegg ◽  
M. Idris ◽  
S. Oloniboko ◽  
...  
Keyword(s):  
Real Time ◽  
Well Placement ◽  
Density Image ◽  
Time Density

Real-Time Monitoring of Asphalt Concrete Pavement Density during Construction using Ground Penetrating Radar: Theory to Practice

2019 ◽  
Vol 2673 (5) ◽  
pp. 329-338 ◽  
Author(s):  
Siqi Wang ◽  
Shan Zhao ◽  
Imad L. Al-Qadi
Keyword(s):  
Real Time ◽  
Ground Penetrating Radar ◽  
Asphalt Concrete ◽  
Linear Optimization ◽  
Field Tests ◽  
The United States ◽  
Construction Process ◽  
Pavement Construction ◽  
Ground Penetrating ◽  
Time Density

Accurate real-time density monitoring is crucial in quality control and quality assurance during the asphalt concrete (AC) pavement construction process. Ground penetrating radar (GPR) technology has shown great potential in the continuous real-time density prediction of AC pavement. However, it is not accepted as a routine method by transportation agencies in the United States due to the lack of validation under field testing conditions. In this study, three field tests were performed using GPR to estimate AC pavement density. The Al-Qadi-Lahouar-Leng model was used to predict the density from GPR signals. The reference scan method was used to remove the effect of surface moisture during construction. The gradient descent-based non-linear optimization method was used to reconstruct the overlapped GPR signals result from the use of thin AC overlay, which has been widely implemented as an AC pavement rehabilitation technique. Digital filtering and other signal processing methods were used to de-noise the signal. GPR results using the proposed methods were compared with field core data and nuclear gauge results. The results show that the proposed methods were effective in estimating in-situ AC pavement density using GPR. Continuous density estimation by installing GPR on the roller is suggested to provide real-time compaction monitoring during the AC pavement construction process.

REAL TIME DENSITY MEASUREMENT OF ALCOHOLIC FERMENTATION OF CRAFT BEER

2019 ◽  
Author(s):  
Simone Venturini ◽  
charles rech ◽  
Paulo Smith Schneider ◽  
Rafael Kunst ◽  
Luis Roberto Centeno Drehmer
Keyword(s):  
Real Time ◽  
Alcoholic Fermentation ◽  
Density Measurement ◽  
Craft Beer ◽  
Time Density
Sign in / Sign up

Export Citation Format

Share Document