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The time waveform can be transformed into an FFT spectrum or it can be trended as overall or frequency banded values. An additional technique that is being utilized extensively today is the High Frequency Enveloping (HFE) technique. It is very effective in identifying early stage bearing faults, installation and lubrication problems (and likewise can be used to track these problems all the way to potential failure). Unlike some condition monitoring techniques, the vibration monitoring technique is quantifiable allowing accurate trending of changing or deteriorating machine condition. The technique not only enables the vibration analyst to identify the source of the vibration (forcing frequency), but also its severity, thus allowing the maintenance personnel to undertake timely, corrective or remedial action, prior to severe or catastrophic failure. With more advanced vibration analysis techniques, computer animated models of the vibrating system can be developed to depict just how the system actually deflects or vibrates during actual operation. Another approach to make the streaming analytics feasible on mobile devices is to utilize both object detection and tracking, which is captured by the technique “tracking-by-detection” (Bae and Yoon, 2014; Muller et al., 2018). By interspersing multiple frames of tracking (light-weight compared to detection) with each frame where object detection is executed, the overall performance can be sped up. The tracking-by-detection technique exposes several adaptation strategies. This can include selecting among a set of detectors and trackers and how to handle the trigger frequency between the detector and tracker. Empirically, we find that the execution time of an object tracker is 10X lower than an object detector. A judicious choice of such adaptation strategies is needed to satisfy the real-time requirements for energy, latency, and accuracy, especially on mobile devices. The stringent requirements on mobile devices at runtime expose another challenge for streaming video analytics: how to adapt (at runtime) to the dynamic user requirements and available resources on the device? hong kong protests

















































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