In the context of processing time-series data streams on edg…

In the context of processing time-series data streams on edge devices, explain the technical mechanics and importance of data windowing. Define the concepts of window size (or frame duration) and window increase (or stride). Then, solve the following systems engineering problem:A multi-axis accelerometer is configured to sample vibration data at a frequency of 100 Hz. An edge AI model requires a window size of 2.0 seconds, with a window increase (stride) of 0.5 seconds. Based on these constraints, calculate:a) The number of raw samples contained within a single window.b) The window overlap percentage.c) The number of new windows (or inferences) generated per second once the pipeline is fully initialized.d) The absolute minimum processing latency (in seconds) experienced by the system before the very first prediction can be made.