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Consequently, coding and compression is needed for effective data reduction whilst maintaining the image integrity.
For volume mesh deformation driven by surface motion, the RBF system can become impractical for large meshes due to the large number of surface (control) points, and so a particularly effective data reduction scheme has been developed to vastly reduce the number of surface points used.
Credentialing features is also an effective data reduction strategy for untargeted metabolomic results such that a smaller number of peaks can be targeted for MS/MS analysis.
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In doing so, it has the advantage of generating models that can be described by continuous smooth dynamics, which then allow for accurate estimates of parameters for use in the analysis phase, effective data noise reduction through curve smoothing, and applicability to data with irregular time sampling schedules.
The approach is effective for data reduction, but it requires to be implemented with very large-scale cluster data deduplication systems [12].
The suitability of the 6ECT carbon/epoxy specimens combined with an effective crack based data reduction scheme is validated by finite element analyses with the virtual crack closure technique and cohesive elements.
Although the cluster-level deduplication is effective for big data reduction, new deduplication methods are required to improve energy efficiency and resource awareness in large-scale data centers.
The advantage of the approach is to gain, without modifications, an effective space-variance and data reduction.
HPE boosts of up to 5X increase in effective capacity with its data reduction technologies.
The spatiotemporal compression is an effective approach for big data reduction.
This benefit is achieved along with reduction of effective data rate or with increase of band width requirement.
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