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It provides services delivering low-level information (raw acceleration).
The advantage of this approach is its ability to extract optimal damage-sensitive features automatically from the raw acceleration signals.
Both cars are near equals on handling and raw acceleration (0 to 60 miles per hour in about seven and a half seconds).
For the activity recognition task, the raw acceleration signal is transformed into an image-like representation of recurrent states and a CNN is then trained with those images.
If a "raw" acceleration or velocity record from a site is used as a time history, the FLAC3D model may exhibit continuing velocity or residual displacements after the motion has finished.
However, we propose that a device attached to the wheelchair cannot distinguish between self or assisted propulsion, certainly not without complex analyses of the raw acceleration outputs [52], and are unable to quantify activity out of the wheelchair.
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In practice, we use the nominal scale factor and bias to calculate "raw accelerations".
A few acceleration jumps that are due to steps in the raw accelerations are also visible in the figure, but when disregarding these steps, the figure shows that the raw accelerations and temperature are strongly correlated.
The raw accelerations are clearly dominated by the temperature-dependent bias in the sub-orbital frequency range.
The phase and amplitude of the orbital signal in the raw accelerations is heavily perturbed by the temperature-dependent bias.
We presented the processing required for transforming the raw accelerations, which are affected by a large number of disturbances, into scientifically valuable thermospheric neutral densities.
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