Sentence examples for distribution of driving from inspiring English sources
The distribution of driving forces/torques of a redundantly actuated PM belongs to the statically indeterminate problem.
The weighting procedure within the countries refers to socio-demographic data only as there is no data available for the regional distribution of driving licence holders within the countries.
First, it facilitates analysis of the influence of local microstructure attributes on the distribution of driving forces for fatigue crack formation as a function of the applied stress state.
Recent studies have documented the increase in fatal motor vehicle crashes associated with drugged driving especially when combined with alcohol (Romano and Pollini 2013; Li et al. 2013), but these studies did not examine the distribution of driving errors and driving violations contributing to the fatality or how this might vary across drugs.
In the first approach, a survey of requested speeds at various road scenes has shown that in unclear situations the standard deviation of chosen speeds is higher than in unambiguous situations, and the inhomogeneous distribution of driving speeds can increase the risk of accidents.
As there are theoretically infinite sets of solutions to the statically indeterminate problem of active overconstrained PMs, the key to the force analysis of this kind of overconstrained PMs is to find the optimal distribution of all driving forces/torques.
The distribution of the driving forces/torques of an active overconstrained PM under different optimization goals [65, 66, 67, 68, 69] can be viewed as a constrained optimization problem, i.e., the minimum set of solutions of the objective function under the constraints of force and moment balance need to be solved.
Z-scores of the teachers and job consultants were negative, indicating a flat distribution, meaning that large variance was found; z-score of driving instructors was positive, indicating a pointy distribution, meaning that small variance was found (Table 1).
The overlap in the distributions of the driving forces for fatigue crack formation in the low to moderate probability range may assist in describing the competing surface vs. subsurface failure modes that are observed experimentally.
It is shown that there is overlap in the distributions of the driving forces for surface vs. subsurface crack formation in the low to moderate range of failure probability based on FIPs; however, at higher failure probability levels, the driving forces are highest for surface crack formation.
