As can be seen from the graphical models in Figure 3, 'time-independent' model assumes that the observations are randomly generated around a constant mean with no temporal dependency, whereas 'time-dependent' model captures the dependency between the observations by the function f i (t ), which follows a GP with the squared exponential covariance function.
However, RWP fails to capture the characteristics of temporal dependency (i.e., the velocities at two different time slots are dependent) spatial dependency (i.e., the movement pattern of mobile nodes may be influenced by and correlated with nodes in its neighborhood), and geographic constraints (nodes' movements are restricted by obstacle, along streets and freeways) [5].
Such temporal dependency in correlation structure is presumably determined by the chronological structure of perceptual content.
Temporal dependency was enforced, where the authentication tag generated in one slice is embedded into its subsequent slice.
The results provide strong evidence for the presence of spatial and temporal dependency for BSS station's arrival and departure rates.
Due to the temporal dependency in quality of measured data, such Cyber-Physical Systems (CPS) commonly have real-time requirements on communication.
For example, the NOAA study accounted for temporal dependency when calculating sea surface temperature changes, but it did so in a relatively simple way, with one temperature point being affected only by the temperature point directly prior to it.
For corn and soybean models, when prior land cover of a pixel is added, predictability and ROC scores increase substantially (0.07 0.10), indicating a strong temporal dependency in land cover dynamics due to crop rotation.
The LSTM NN can overcome the issue of back-propagated error decay through memory blocks, and thus exhibits the superior capability for time series prediction with long temporal dependency.
