Sentence examples for measurement process used from inspiring English sources

It reflects the limitation of the measurement process used in this challenge, where gene expression levels were measured at the arbitrary time point of 6 h in both species.

Input/output operations per seconds (IOPS): IOPS is a measurement process used to characterize the storage devices like flash storage memory.

Experiments were conducted in the electric field intensity from 0 to 2,000 V/mm using the same measurement process used to study the material viscosity curves under normal conditions presented in [60].

The measurement process used to quantify phthalate metabolites has been described in detail in the Centers for Disease Control and Prevention CDC Laboratoryry Procedure Manual (CDC 2009).

The real measurement data will be assumed to be of this form, although the measurement details and number of neurons sampled multiple times from each of 15 patients of varying ages make the measurement process used in [ 10] somewhat more complicated.

Standard addition works here because each MALDI measurement process uses only a small fraction of the sample.

In addition to gaining an understanding of the measurement process using the benchmarking workflow, unknown samples can be collected and studied to determine the relative proportion of known components.

This paper presents techniques which use multiple versions of a design in diagnosis, as well as the measurement selection process used in VHDLDIAG.

As in the proposed KF tracking scheme, instead of using the array output directly as the measurement process, we use the most current data to form the DOA estimates via the covariance-fitting-based algorithm, the measurement noise is then due to the estimation inaccuracy of the covariance-fitting-based method.

An overview of the process used to establish measurement priorities is shown in Fig.  1.

The evaluation of the measurement uncertainty can be performed by the bottom-up approach, that involves a detailed description of the measurement process, or using a pragmatic top-down approach that quantify major uncertainty components from global performance data.