The phrase "accelerated motion" is correct and usable in written English.
It can be used in contexts related to physics or any discussion involving changes in speed or velocity over time.
Example: "In physics, accelerated motion refers to the change in velocity of an object over time, which can be observed in free-falling objects."
Alternatives: "increasing speed" or "changing velocity".
Ignoring physicochemical mechanisms, the signal dynamics discussed above can be mathematically modelled based on simple uniformly decelerated motion, which is a special case of uniformly accelerated motion, but with a negative acceleration rate (i.e., a deceleration rate).
Uniformly accelerated motion; s = speed, a = acceleration, t = time, and v = velocity.
Cinematographers also control slow motion or accelerated motion.
In particular, vehiclés kinetics is based on uniform accelerated motion, rather than in impulsive accelerated motion as in most existing CA models.
The third law applies whether the bodies in question are at rest, in uniform motion, or in accelerated motion.
Since rotational motion is always accelerated motion, pseudoforces may always be observed in rotating frames of reference.
For that reason an inertial frame has to be understood as a spatial reference frame together with some means of measuring time, so that uniform motions can be distinguished from accelerated motions.
In fact, striving to completely relativize inertia, Einstein conflated a valid principle of form invariance of the laws of nature (general covariance) with a spurious "principle of general relativity", according to which accelerated motions like rotations would be relative to an observer's state of motion.
Compared to the velocities of these micromotors in pure water, 1.7, 1.5, and 1.4 times accelerated motions were observed for them in aqueous solutions of methyl blue (10−5 g L−1), cresol red (10−4 g L−1), and methyl orange (10−4 g L−1), respectively.
For dynamic analysis, the time responses for accelerating motion and torque-driven motion are calculated.
In particular, we design efficient GPU-based parallel k-nearest neighbor and parallel collision detection algorithms and use these algorithms to accelerate motion planning.
