
Overview This dataset contains the power consumption and ground truth for 40 runs of 4 activity hours on an intel NUC micro-PC. The power consumption is pre-processed from 10 KSPS to 20 SPS with a median filter. The ground truth contains the label for each sample with: -1=UNKNOWN, 0=OFF, 1=IDLE, 2=HIGH LOAD and 3=REBOOT. Usage To use the npy format, load the python package numpy and load the data with the `load` function: ```import numpy as np trace = np.load("trace_4.npy")gt = np.load("gt_12.npy")``` The CSV format can be loaded in a variety of software. Changelog An index issue was present in the first version. The ground truth and trace were offset by 1 (trace n was associated with ground truth n-1). Moreover, trace 2 did not have a corresponding ground truth. This new version fixes this issue and removes the trace without ground truth. Naming convention was also changed to include leading 0 and make listing easier in file explorers.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
