Thus, a field can be one of three types: a data field, a constant field or a referral field.
For the sake of contrast analysis, the analytic solution to the "forward problem" at t = 4000 s is selected as the field monitoring value, and the monitoring sections (data collection points) are shown in Figs. 4 and 5, "field monitoring data" are shown in Table 2.
Experimental parameters from five batches of field experimental data are shown in Table 1.
For the sake of contrast analysis, the analytic solution to the "forward problem" at t = 4000 s is selected as the field monitoring value (overline{C} (overline{x}_{i},T)), and the monitoring sections (data collection points) are shown as Figs. 4 and 5, the "field monitoring data" are shown in Table 2.
The RTP aeromagnetic data, computed from the grid of total-field magnetic data, are shown in Fig. 4.
After comparing with the results of the survey, the final relevant research keywords to the field of big data are shown in Table 1.
The results from the independent component analysis on the field-dependent XDM data are shown in Fig. 2c, d, which represent the spatial projections of the source [i.e., (varvec{A}_{i} left( varvec{r} right)) in Eq. 1] and the field-evolution of the sources [i.e., (S_{i} (varvec{E}))], respectively.
Data are shown as averages of five fields, with standard deviation indicated by bars.
