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We propose the design of an adaptive cruise controller (ACC) of a Smart vehicle as a benchmark set up for methods developed for piecewise affine (PWA) systems based on model predictive control (MPC) arguments.
The benchmark was also set up for reading operation on the data and the results show that ZDB had a higher number of operations per second compared to Kyoto cabinet and LevelDB.
Not set up for kids.
Set up for success.
Set up for your party!
Set up for the party.
Set up for the swap.
Set up for the fingerflip.
Set up for the rehearsal.
In addition, we show the prediction performance of APMotif on Tompa data [ 33], which is set up as the benchmark for testing motif discovery algorithms.
However, by using approaches to collect the data in Tables 1 and 2, and by utilizing Medicare data on medically consulted falls, we could establish a community-wide event reporting system and set up benchmarks for community- dwelling adults aged 65 years and older.
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