A measurement device for a vehicle seat includes a memory; a processor coupled to the memory; a headrest body of a headrest; a first side section of the headrest that is swingable toward a seat front side so as to support the neck of the vehicle occupant; a second side section of the headrest that is swingable toward the seat front side so as to support the neck of the vehicle occupant; a first electrode provided at the first side section and contacting the neck in a state in which the first side section is supporting the neck; and a second electrode provided at the second side section and contacting the neck in a state in which the second side section is supporting the neck. The processor is configured to acquire a waveform of a potential difference based on the potential difference between the first electrode and the second electrode over time.

This invention comprises a device for measuring root pulling force (RPF) in a plant. The RPF device comprises a plant grasping mechanism, as well as a force measurement sensor. In certain embodiments, the device is automatic, so that the “hand of man” is not required to exert force on the plant while the root pulling force of the plant is being measured. Also disclosed is a root pulling force motion mechanism, which brings the RPF device into proximity of a plant to be measured. Further disclosed is a method for measuring root pulling force of a plant.

A pressure sensing device comprises a first diaphragm which is deformable and a second diaphragm which is non-deformable. One of the diaphragms comprises a pressure sensitive material arranged on its surface. The other diaphragm comprises a detection electrode arranged its surface. The first diaphragm forms part of a force transmission device comprising a cavity having a force transmission fluid therein. The force transmission device is configured to receive an external force and transmit the external force to the first diaphragm, such that the first and second diaphragms are mutually deformed in response to the external force.

An apparatus (20) for monitoring flotation performance apparatus comprises an arm (21) having a paddle (22) attached at one end. The apparatus (20) forms a sensor to monitor real-time flotation performance by measuring the drag exerted by the overflowing froth onto a cantilever beam arm. The strain exerted on the beam or arm can be directly correlated to the efficiency of the froth flotation process. Methods for monitoring and controlling a froth flotation process and a method to determine ash content in coal undergoing flotation are also described

According to one embodiment, a sensor device comprises a substrate, and a sensor layer superposed on the substrate, the substrate includes a plurality of individual areas arranged in a matrix in a first direction and a second direction that intersect each other, a plurality of individual electrodes arranged in the plurality of individual areas, and a common electrode facing the plurality of individual electrodes and generating a plurality of electric fields between the plurality of individual electrodes, wherein the plurality of electric fields are in different directions in a planar view, and the plurality of electric fields in different directions are applied to the sensor layer.

The present application relates to the field of superalloy, disclosing a method for internal stress regulation in superalloy disk forgings by pre-spinning. The method includes: Step S1, determining a target revolution for regulating internal stress in the disk forgings, and determining a target deformation magnitude of plastic deformation required for regulating the internal stress by the pre-spinning of the disk forgings; and Step S2, performing the pre-spinning of the disk forgings by the target revolution, monitoring a deformation magnitude of the disk forgings, and stopping the pre-spinning when a monitored deformation magnitude of the disk forgings reaches the target deformation magnitude.

A sensor according to the present technology includes a sensor unit and a separation layer. The sensor unit includes a first pressure sensor on a front side and a second pressure sensor on a rear side that are opposite to each other and detects, on the basis of pressure detection positions in an in-plane direction by the first pressure sensor and the second pressure sensor, a force in the in-plane direction. The separation layer has a gap portion and is interposed between the first pressure sensor and the second pressure sensor.

The present disclosure relates to a boots damage detection apparatus and a method. More specifically, the boots damage detection apparatus according to the present disclosure includes: a transmitter that transmits a command current for a movement to a first rack position or a second rack position; a receiver that receives a rack position to which a movement is performed in accordance with the command current and a rack force corresponding to the rack position from a plurality of sensors; and a determiner that determines damage/non-damage of boots based on a first rack force corresponding to the first rack position and a second rack force corresponding to the second rack position.

An object can be made one section at a time, that is layerwise, using an apparatus for making an object using a stereolithographic method. Disclosure generally relates to an apparatus for making a stereolithographic object and a method for making a stereolithographic object. An apparatus (100) for making an object (122) is disclosed.

A tactile sensor including a camera positioned to capture images of marks. An elastically deformable skin including an outer surface having attributes and an undersurface having pins, ridges, or both. Each undersurface pin or ridge includes a mark. A processor detects displacement of the marks in captured images and compares the displaced positions of the marks in the captured images to stored sets of prelearned positions of marks, based on a distance function, to determine a quality of match value for each set of the prelearned positions of marks. A best quality matched prelearned pattern of forces is determined using a user selected function, to calculate a best matching set of the prelearned positions of marks. Identify a pattern of forces acting on the elastically deformable skin based on the determined best matched prelearned pattern of forces.