Sentence examples for complexity of data processing from inspiring English sources
And when a commercial finite element code is used, interfacing the modal analysis result, such as natural frequencies and mode shapes, with the FIV analysis procedure requires an additional significant amount of time and can possibly incur inadvertent error due to the complexity of data processing.
Although this method will increase the complexity of data processing, it can remove the interference of clutter and noise.
Since the flow pattern and the void fraction are evaluated by reading conductance measurements, complexity of data processing can be significantly reduced and real-time information provided.
A thin-film temperature sensor operated in transient mode enables very accurate surface temperature measurements (e.g., in turbine blades or in hypersonic wind tunnels), which are obtained because the gauge is non-intrusive and has a high frequency response; however, the complexity of data processing is the major drawback for the popular use of the thin-film sensor.
The cost of monitors, complexity of data processing and analysis, problems with compliance and burden on participants also limit their use in large population-based studies [ 14].
Major disadvantages of diaries include the burden on patients, complexity of data processing and analysis, exclusion of patients who are functionally illiterate, inability of researchers to immediately probe for additional data, high levels of item-level missing data, and dependence on participants' motivation to record their data [ 11, 12].
Dagger indicates taking into account the burden of tool administration and the complexities of data processing.
Precise volume estimations are generally performed post-event or late during a long-lasting event due to (i) the cost of, and preparation time required for, satellite and/or aerial photography acquisitions, (ii) the need for Ground Control Point (GCP) measurement, and (iii) the complexities of data processing.
Not only does this increase costs, but it also increases the complexity of the acquisition process and the number of data processing.
The experimental results showed that corsets are suitable to address NP-hard problems in massively parallel and streaming data environments where big data complexity is reduced by application of data processing algorithms on small datasets that are approximated from big data.
