In addition, two data types (float and double) have been considered in the executions.
We evaluate three layout algorithms for the two data types and apply them to our case studies.
PLSR was first used to analyse each of the two data types separately in order to explore the effect of the experimental parameters on the data.
Unsurprisingly, by incorporating two data types, you engage the part of the brain that incorporates the data types.
However, it is not always easy to distinguish between these two data types.
This small time difference does not require synchronization between the two data types.
In the two data types for the simulation, we obtain the following results by comparing the three algorithms.
It conducts two-round reservations to guarantee the data transmissions for the two data types to reduce energy consumption and overhead induced by control frames.
We note that, in general, when the geomagnetic field is active, so is the geoelectric field, but the two data types are not simply correlated in time.
The result reveals that, in the experiment, rotation angles outperformed the other two data types in applying the motion detection framework, which is also adopted in this paper.
Strangely, although the MORVEL model of DeMets et al. (2010) uses space-based data to determine the velocities of four plates (Amur, Philippine Sea, Sundaland, and Yangtze) and partly to determine the velocities of two more plates (Caribbean and Scotia), complete merging of these two data types has not been done.
