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A timeline view of pipeline performance data shows the overall utilization of the pipeline, indicating regions of poor instruction throughput.
The effects of internal pressure on pipeline performance are also investigated.
However, the existence of voids due to soil erosion under the joint had a significant impact on the pipeline performance and could cause a large joint rotation.
At present, there are still research needs for improving on the existing models and developing new methodologies of pipeline performance prediction.
Operators need to run cleaning pigs to dewax and descale the inside surface of the pipe and remove debris, which help improve pipeline performance, and they can do all this without significantly interrupting product flow to the customer.
The pipeline performance has been evaluated on a group of 14 datasets, for a total of 300 highly resoluted range scans.
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In order to ensure efficient pipelines performance, the pipelines need to undergo routine monitoring, maintenance and repairing activities.
Concordance with known findings will validate our pipelines' performance Figure 2A shows an interactive Galaxy-Circos plot of data generated from analysis of the MIA PaCa2 cell line.
Although it represents only one of the numerous possible POSA-based pipelines, performance of POSA was validated by comparison of SNP discovery with the data after analysis using the Staden package.
3. Microphotograph of the original comparator-based pipeline ADC1 Performance: 10bit, 8MHz, 2.5mW.
The designing of slurry pipelines requires prediction of pipeline hydraulic performance.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com