Sentence examples for direction of sensor from inspiring English sources

Where d(s i, Q) represents Euclidean distance between sensor s i and point Q. ( overrightarrow{V_i} ) denotes the unit vector which determines the sensing direction of sensor s i in the case of directional sensor.

Influenced by factors such as speed fluctuation, rolling element sliding and periodical variation of load distribution and impact force on the measuring direction of sensor, the impulse response signals caused by defective rolling bearing are non-stationary, and the amplitudes of the impulse may even drop to zero when the fault is out of load zone.

Let us consider the simplest configuration when the directions of sensor elements X and Y perfectly coincide with the spacecraft X and Y directions, and the Z element directs to (sin γ cos ϕ, sin γ sin ϕ, cos γ) in the spacecraft reference frame.

In [15] and [16], the multiple directional cover set (MDCS) problem of organizing the directions of sensors into a group of non-disjoint cover sets for the all the targets in order to extend the network lifetime has been solved in distributed and centralized ways, respectively.

When the load is along the planar direction of the sensor, the impedance spectra of the sensor show good correlation with the load variation.

The results indicate that the sensor is sensitive to the initial load when the external load is parallel to the thickness direction of the sensor.

The center axis of the pickup/feedback coil is along the diameter of the ring; this axis corresponds to the field measurement direction of the sensor element.

The angle θi,j is defined with respect to a common reference system (horizontal axis in the figure), while θ ~ i, j is defined with respect to the orthogonal to the positive direction of the sensor array axis.

Before each test, the direction of the sensor had to be adjusted through the computer to ensure the correct position of the fixture.

The approach is based on Markov localization and provides rational criteria for (1) setting the robot's motion direction (exploration), and (2) determining the pointing direction of the sensors so as to most efficiently localize the robot.

All of the tested algorithms are hardly biased when the source is located in front direction of dual-sensor as depicted in Figure 9a because the phase wrapping is less likely to occur for a low DOA angle incident case.