Sentence examples for integration of error from inspiring English sources

The sum of these influences is integration of error components of machine tool in coordinate system of tool.

In sensorimotor control, temporal integration of error feedback may help to minimize the resultant steady-state error.

In conclusion, the integration of error compensating methods into metagenomic gene prediction tools as well as the development of suitable models specialized on the accurate detection of short gene fragments would be beneficial to improve metagenome annotation quality.

ESTScan [ 24], a tool for the curation of expressed sequence tags (ESTs), was trained for the application to metagenomes, and gene prediction accuracy results of ESTscan lead us to the conclusion that the integration of error compensating methods into metagenomic gene prediction tools might significantly improve their performance, and with this metagenome annotation quality.

Results indicate that the integration of error-compensating methods into metagenomic gene prediction tools would be beneficial to improve metagenome annotation quality.

We propose that the integration of an error management supplement in cross-cultural training can enhance trainee acquisition of self-regulation skills and self-efficacy that facilitate adaptive application of learning to novel cultural situations.

An error propagation method is used when we combine the standard errors from multiple sources without original data (e.g., the integration of standard errors from forward and inverse modeling methods).

At first, a classic state vector feedback controller with integration of the control error is implemented.

In this paper, we present the integration of a backward error recovery protocol based on independent checkpointing into the XtreemGCP service.

By comparison with the exact solution, obtained by numerical integration, the error of the approximation can be kept below a limit of about 5%, which is much lower than our previous calculation (part I of this series).

In principle this enables the integration of the estimation and error estimation processes but this remains an under-utilized opportunity: published uses of archival methods usually separate the estimation of the quality of position estimates from their derivation.