Big Data solutions require high volume of data storage and high velocity in processing.
Overall, big data consists of three v's: volume of data, velocity of processing the data, and variability of data sources.
In general, big data has four important features, so called four V's: volume of data, velocity of processing the data, variability of data sources, and veracity of the data quality.
The second v, velocity, depicts the speed of processing and analyzing the data.
Then, a range of images is selected for processing velocity fields.
Besides all the advantages of these devices like high resolution, repeatability and processing velocity, they are always affected by field distortions.
Feature selection could play a very prominent role where many diverse heterogeneous sources are being analyzed and correlated as feature reduction could significantly reduce storage Volume, processing Velocity, and complex Variety.
However, a new process, High Velocity Compaction (HVC), allows processing UHMWPE within short processing times via sintering.
A Smart Manufacturing (SM) system should be capable of handling high volume data, processing high velocity data and manipulating high variety data.
Bubble size, aspect ratio and velocity were measured by processing images taken by high-speed camera, operated at 1000 frames per second with a resolution of 1280×512 pixels.
