Sentence examples for the data processing speed from inspiring English sources

Because the data processing speed is slow, it is difficult to realize high-speed motion tracking in the embedded system.

In an offline system, there is no particular demand on the data processing speed of the system, aside from the patience of the user.

A set of experiments were conducted to provide a comparative study between those three optimizers regarding the execution time, the data processing speed, and the system efficiency.

The results indicate that the data processing speed, its low cost, and the ease of implementation from any type of vehicle validate the proposed procedure as an invaluable tool (1) to do inventories of all types of road networks that are not accessible to cars; (2) to manage the routine maintenance of small road networks; and (3) as a basis for future research projects on road design and outline.

In future, the data processing speed will be further improved by converting the modules of the processing chain into tasks that share memory access to image data stored in the RAM instead of reading and writing them on hard disk, as done by our prototype.

We next address the evaluation of data processing speed and optimization of the software algorithm of the WPIA.

Then the target's point cloud data were rapidly converted into a 3D surface model using the concave hull surface modeling algorithm after a process of data filtering and downsizing to increase the model accuracy and data processing speed.

The FEVT algorithm increases data processing speed by ~100x compared to manual marking, while maintaining high sensitivity (~90%) and low false-negative and false-positive rates (~10%), even when the recorded signal-to-noise ratio is relatively low [ 13, 26].

To improve system efficiency and data processing speed, the improved central control board circuit is adopted.

There are several challenges remaining in the area of superspreader identification, especially for high speed networks, exhibited by the trade-offs among three critical requirements, which are (1) fast data processing speed, (2) low memory space, and (3) high accuracy.

We introduced Big Data analytics to enhance data processing speed.