or to determine a data-driven partition as the Voronoi tessellation introduced in Section 3.3.
This work addresses the problem of determining a data-driven model for the startup of a hydrogen production unit, and demonstrates the approach both on a detailed first principles simulation model and by application to real data.
Therefore, it is essential to determine a valuable data source which will enable the extraction of fault-pattern and the allocation of these pattern to machining processes.
One exception is the work of Zemel [33] who applied MDL to determine a suitable data-encoding schema.
To determine an appropriate data block size for the Hadoop mobile cluster, the job completion time of the I/O intensive TeraSort workload with 1 GB input data is measured as the data block size gradually increases.
To determine an optimal data forwarding path at each CH, the route selection scheme of the proposed SHEAR protocol solves a least energy cost path problem, described in the following subsection.
To do this we performed normality test which is used to determine whether a data set resembles the normal distribution.
Normality tests are used to determine whether a data set is well modeled by a normal distribution or not before testing of hypothesis for the variances.
Accordingly, negative containment is first defined to determine whether a data sequence contains a negative sequence based on set theory.
The characteristic that determines a green data center is low amount of carbon footprint produced by its physical data storages.
