Multiple calibration results for calibrating a barometric pressure sensor based on data received from a device containing the sensor are determined and stored in a table. The table is updated based on rules regarding a relationship between each calibration result and a current calibration value. The calibration results are weighted and combined to determine a combined calibration result. The calibration value for calibrating the sensor is selected from the calibration results, the combined calibration results, or the current calibration value based on a selection criteria.

There is provided a method of calibrating multiple chamber pressure sensors of a substrate processing system. The substrate processing system includes: multiple chambers; multiple chamber pressure sensors; multiple gas suppliers configured to supply a gas to an internal space of the multiple chambers; multiple exhausters connected to the internal spaces of the multiple chambers via multiple exhaust flow paths; and multiple first gas flow paths. The method includes: acquiring a third volume, which is a sum of a first volume and a second volume; acquiring a first pressure change rate of the internal space of a selected chamber; calculating a second pressure change rate of the internal space of the selected chamber; and calibrating the selected chamber pressure sensor such that a difference between the first pressure change rate and the second pressure change rate is within a preset range.

A method of calibrating a virtual force sensor of a robot manipulator, wherein in a plurality of poses, the method comprises: applying an external wrench to the robot manipulator ascertaining an estimate of the external wrench, ascertaining a respective cost function based on a difference between the determined estimate of the external wrench and a specified external wrench, ascertaining a respective calibration function by minimizing the respective cost function, and storing the respective calibration function in a data set of all calibration functions with assignment of the respective calibration function to a respective pose for which the respective calibration function was ascertained.

There is provided a detection apparatus including a housing that includes a working surface, and a sensor configured to detect the force or the moment exerted on the working surface, on at least a first detection axis and a second detection axis. The working surface coincides with a surface that includes the first detection axis and the second detection axis, the working surface being at least partially symmetrical around the first detection axis passing through the center of the sensor.

A wholistic activity context is used to determine whether to calibrate a barometric pressure sensor of a mobile device. A pair of activity transitions are determined from three activities of the mobile device. A time relationship and a position relationship between the activity transitions is determined. An opportunity to calibrate the barometric pressure sensor occurs between the activity transitions. A calibration of the barometric pressure sensor is performed in response to determining that the time relationship and the position relationship indicate that the wholistic activity context surrounding the opportunity to calibrate the barometric pressure sensor is conducive to calibration.

Introduced are an apparatus for correcting an offset of a pressure sensor in a fuel cell system including a first pressure sensor and a second pressure sensor, which are installed between a rear end of a fuel supply valve of a hydrogen supply system and an anode inlet, and a method of correcting an offset using the same. The apparatus includes an offset corrector that calculates offsets between the sensors from a condition of same pressure of each of the sensors and corrects offsets with respect to the first pressure sensor and the second pressure sensor using the calculated offsets.

The present invention relates to microfluidic or millifluidic chips (1) comprising at least one pressure sensing unit (4) able to measure a fluid flow pressure. The present invention also relates to a method for a direct and contact-free measuring of a local pressure of a fluid circulating in a microfluidic circuit, using a microfluidic or millifluidic chips (1) according to the invention.

Determining when an estimated altitude of a mobile device can be used for calibration or location determination. Particular systems and methods determine an area in which the mobile device is expected to reside, determine an altitude value of each section of a plurality of sections in the area, determine if the altitude values meet a threshold condition, and determine that the estimated altitude of the mobile device can be used for determining the position of the mobile device or for calibrating a pressure sensor of the mobile device when the altitude values meet the threshold condition.

A method involves identifying multiple calibration values and corresponding calibration confidence values of an initial calibration dataset in which one or more calibration values were derived using an atmospheric pressure measurement from a barometric air pressure sensor of a mobile device. A calibration metric is determined for each calibration value. One or more of the calibration values are filtered out from the initial calibration dataset based on the calibration metric to generate a filtered calibration dataset. A filtered calibration value is determined using the filtered calibration dataset. The barometric air pressure sensor of the mobile device is calibrated using the filtered calibration value.

A method for measuring and computing unsteady loads using unsteady pressure-sensitive paint (uPSP) data includes performing an in-situ calibration using an average of pixels of a portion of an image captured of a surface painted with pressure-sensitive paint. The method also includes dividing an average static pressure by an intensity for each region of interest (ROI) in terms of time to produce a ratioed intensity measuring an intensity fluctuation. The method further includes producing a pressure-time history from the in-situ calibration and the measured intensity fluctuation. The method also includes calculating a fluctuating force by multiplying the produced pressure-time history by an area of pixels in each ROI, and converting a time signal to a frequency, and producing a power spectral density (PSD) to compare frequency content to determine an amount of energy at a certain frequency band.