Sentence examples for speed pattern from inspiring English sources

Small variations in the speed, pattern, pressure and usage of these tools can be used to identify an individual, although none have yet been implemented for something quite as serious as banking.

To present knowledge, no significant change in the wind speed pattern is anticipated for the future [45]; hence, the data was applied without further changes.

Similar type of agitation speed pattern was also found by the other researchers (Liu et al. 2012; Shafique et al. 2012).

The effects of the spin speed, pattern periodicity, PS/PAA composition ratio, and the PAA molecular weight are investigated in both the experiments and numerical simulation.

This paper includes studies of the effects from establishment of sinus speed humps of height 10 cm and length 950 cm and chicanes (with a free carriageway width of 5.30 cm and a length between the 0.5 m wide obstacles of 18 m) as a before/after study where the speed pattern after establishing SCs is compared with the one before.

A particular speed pattern emerged from the TukeyHSD post-hoc test on the ground speed profiles (Figure 3C, bottom trace).

Anders Friberg, a music scientist at KTH Royal Institute of Technology in Sweden, found that the speed patterns of people's natural movements — moving a hand from one place to another on a desk or jogging and slowing to stop — match tempo changes in music that listeners rate as most pleasing.

It also ensures that the cars can be kept on a regular maintenance schedule, and can give data about the energy consumption or speed patterns of various drivers.

In order to obtain quantitative measures of these events, lane following, vehicle following, speed and engine speed patterns of a driving session is collected and processed automatically.

The system collects data about lane following, vehicle following, speed and engine speed patterns which are important for aggressive driving detection since aggressive driving behaviour is associated with sudden lane changes, tailgating and abrupt acceleration/deceleration. Features that are extracted utilizing these data are used to train an SVM classifier.

Results show that there may be a significant advantage in locating future wind parks on sites where wind speed patterns better match electricity demand patters, rather than just choosing a site with the highest mean wind speed, but only if the annual mean wind speed is still sufficiently high to make the investment economically feasible.