Sentence examples for data to engineering from inspiring English sources

Exact(2)

This paper reviews the data sources and outlines analytical techniques used to reduce data to engineering quantities such as flux and directionality.

A custom script was used to remove head space readings, convert position data to engineering strain and force readings to pressure.

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This chapter presents more data from the case study, and subjects that data to reservoir engineering analysis.

The use of discrete data to represent engineering structures as derivatives from intersecting components requires algorithms to perform Boolean operations between groups of triangulated surfaces.

The role of DFT is to demonstrate key subsystems, address key technical risks, and provide flight data to validate engineering models in representative flight environments.

The use of discrete data to represent engineering structures as derivatives from intersecting components requires algorithms to perform Boolean operations between groups of quadrilateral and triangular surfaces.

In this paper, an analytical numerical framework adequate for the compilation, interpretation and application of experimental data to actual engineering analysis and design is discussed.

In a second step, the results from G4M were used as input data to the engineering model BeWhere, which optimizes scaling and location of combined heat and power plants (CHP).

This paper describes the experimental investigation and serves as a vehicle for dissemination of the key findings and all the important test data to the engineering community which could be used for validating numerical simulations for further advancing the knowledge and understanding in this relatively poorly researched area.

We show how this approach provides a natural and efficient methodology for transferring data uncertainty to engineering outputs through an EOS representation that understands and deals consistently with parameter correlations as sensed in the data.

Our study thus demonstrated the feasibility of harnessing public genomic and transcriptomic data to guide metabolic engineering practice.

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