Sentence examples for reflecting motion from inspiring English sources

"Imagine a smart building where a manager can know how many people are inside just by which rooms are reflecting motion - for instance, via motion-sensitive lights," says Constantine Valhouli from the Hammersmith Group, a strategy consulting firm.

Nevertheless we took the precaution of modelling realignment parameters reflecting motion as a potential confound.

The results of our functional ANOVA showed that time courses for the Persist and Vanish conditions diverged maximally by 11 s in all three ROIs (always p<10−2), which means that persistence began over six seconds after the offset of motion and does not reflect motion per se [25].

For the motion stimuli in Figure 1, nMEx = 0.00, and nMEy = 0.75, reflecting no motion in the horizontal direction but significant top-to-bottom motion in the vertical direction.

We prove an integration by parts formula on the law of the reflecting Brownian motion X≔∣∣B∣∣ in the positive half line, where B is a standard Brownian motion.

For the reduced WECC 29-unit 179-bus power system, classical second-order differential model reflecting the motion of the rotor was used for all the generators, and constant MVA model for all loads.

The most notable feature is circular polarization of electric field and it has been interpreted as reflecting circular motion of ions in groundwater under the Earth's magnetic field.

By exploiting the connection of the Neumann kernel to reflecting Brownian motion it is possible to prove the result when Ω is general and D is a ball centred at either x or y.

More specifically, the approximating Brownian model for the networks is proposed via the method of showing a pseudo-heavy-traffic limit theorem which states that the limit process is a reflecting Brownian motion (RBM) if the properly normalized d-dimensional workload process converges in distribution to a continuous process.

The proof depends on a careful coupling construction of the reflecting Brownian motions for D and Ω using the same probability space for both processes.

However, firing corresponding to the most recently visited boundary appears to have greater influence, potentially reflecting self-motion inputs or representational momentum within an attractor network [69].