Sentence examples for scientific data processing from inspiring English sources

We present a system to generate suitable initial guess profiles, which consists of a data base and corresponding tools to support the scientific data processing.

Based on these observation data, the scientific data processing software has been developed and is used to retrieve successfully the atmospheric refractivity profiles.

The Visualization Toolkit (VTK) is an open source, permissively licensed, cross-platform toolkit for scientific data processing, visualization, and data analysis.

Debian GNU/Linux (http://www.debian.org) is a software distribution that encompasses the kernel (Linux) plus a large body of other user software including graphical desktop environments, server software and specialist software for scientific data processing.

If no special specification, the task discussed in our paper is divisible, large-scale, and delay-tolerant task, such as scientific data processing, which takes more than one price interval to complete.

Of note, global biotechnology companies such as Novartis (AWS, 2014a), Bristol-Myers-Squibb (AWS, 2013), and Pfizer (AWS, 2014b) have utilized the computing power of Amazon for scientific data processing.

During the late 1950s Goldstine joined the staff of IBM, where he eventually served as director of scientific development for data processing; in the late 1960s he became a scientific consultant to the research director and was made an IBM fellow.

According to the experimental data and relative corrosion depth, the data analysis and numerical simulation are conducted by the scientific plotting and data processing software SigmaPlot 12.0 to the damage process, which can produce the three-dimensional distribution map of propagation of inner crack density of concrete.

These machines then contribute their unused hard drive and disk space to a particularly complicated job, like scientific research or data processing, resulting in drastic improvements in processing speed.

In recent years, the scientific community has also adopted database technology in processing scientific data.

The amount of data increases in lockstep with computational efficiency multiplied by the amount of available computational resources, which shifts the bottleneck in the scientific process from data acquisition to data processing and analysis.