A radiography apparatus includes: a radiation detector that includes a plurality of pixels, each of which includes a thin film transistor and which are two-dimensionally arranged, and data lines through which charge accumulated in the connected pixels is transmitted as an electric signal; and a first sample-and-hold unit and a second sample-and-hold unit that sample and hold the electric signal transmitted through the data line. In a case in which the charge accumulated in the pixel is read out, the radiography apparatus performs control such that the thin film transistor is turned off and the first sample-and-hold unit samples and holds a first electric signal transmitted through the data line; and the thin film transistor is turned on and the second sample-and-hold unit samples and holds a second electric signal transmitted through the data line.

The present invention relates to using a self calibrating and recalibrating 230, 925 optical sensors piston rod displacement. Self calibration enables field calibration of uncalibrated 230, 925 optical sensors. During operation, recalibration enables detecting and correcting for wear and damage of the 200 piston rod and/or 230, 925 optical sensors. 210 Calibration positions on the surface of the 200 piston rod are imaged by 230 optical sensors using laser or darkfield lenses designed for optical computer mice. Natural surface patterns can be used in locations where 210 calibration positions are required, which reduces or eliminates the need for marked 210 calibration positions. Marked 210 calibration positions are spatially unique encoded sequences used to determine the piston rod absolute position. Storing only the significant features of 210 calibration positions saves significant memory. The reduced memory requirements of each 210 calibration position enables the use of closely spaced or continuous 210 calibration positions. Multiple 210 calibration position features and multiple 230, 925 optical sensors together collectively provide immunity to localized 208 surface damage. Proximity sensors, 925 time of flight sensors and 031 cumulative relative displacement are used to estimate the 200 piston rod absolute displacement and reduce the number of spatially unique 210 calibration positions needed to compare in order to determine the piston rod absolute displacement.

A system has at least one sensor and a control for analyzing a signal from the sensor. The sensor is operable to send a signal indicative of a presence of a particular occurrence to the control. The sensor also sends a background signal even without the presence of the particular occurrence. The control evaluates the background signal to identify a need for calibration. A method is also disclosed.

According to one embodiment, a photon counting CT apparatus includes an X-ray source, a photon counting CT detector, and a calibration unit. The X-ray source includes a cathode configured to generate electrons and an anode including a plurality of targets configured to generate a plurality of characteristic X-rays having different energies. The photon counting CT detector detects X-ray photons generated by the X-ray source. The calibration unit calibrates the gain of the photon counting CT detector based on the correspondence relationship between the photon energies of the plurality of characteristic X-rays and outputs from the photon counting CT detector.

Embodiments of the invention include a resonant sensing system comprising driving circuitry to generate a drive signal during excitation time periods, a first switch coupled to the driving circuitry, and a sensing device coupled to the driving circuitry via the first switch during the excitation time periods. The sensing device includes beams to receive the drive signal during a first excitation time period that causes the beams to mechanically oscillate and generate a first induced electromotive force (emf) in response to the drive signal. The first switch decouples the sensing device and the driving circuitry during measurement time periods for measurement of the induced emf.

A computer-implemented method for recalibrating a trained data-based calibration model for use in a sensor system for measuring one or more physical variables is disclosed. The data-based calibration model is formed as a neural graph network which is trained to output an output vector comprising one or more output variables and a plurality of auxiliary variables, depending on a sensor state graph representing a sensor state. The method includes (i) detecting one or more detection variables relating to the one or more physical variables and one or more state variables indicating one or more environmental influences on the sensor system, (ii) ascertaining a sensor state graph depending on the one or more detection variables and the one or more state variables at a time of detection, (iii) augmenting the sensor state graph, (iv) evaluating the augmented sensor state graph with the data-based calibration model to obtain the output vector, (v) determining a loss depending on the output vector, and (vi) unsupervised training of the calibration model depending on the determined loss.

A method, an unmanned mobile entity and a computer program are provided for evaluating a performance of a first sensor unit which is arranged to measure a physical property of its environment at a location. An unmanned mobile entity transports a reference sensor unit to the location and the reference sensor unit is arranged to measure the physical property at the location. The performance of the first sensor unit is evaluated based on a comparison of the measurements of the first and reference sensor units.

Various examples are directed to apparatus and methods for enhanced pest detection and enhanced battery life for a power supply of a pest detection device. The pest detection device includes a capacitive sensor configured to detect a presence of one or more pests, and one or more secondary sensors configured to detect one or more prescribed conditions. The pest detection device also includes a controller connected to the capacitive sensor and the one or more secondary sensors. The controller is configured to initiate calibration of the capacitive sensor based at least in part on one or more signals received from the one or more secondary sensors.

A mobile environmental sensor system includes a first mobile environmental sensor, a controller, and a network transmitter disposed on a transport unit. The controller is in electronic communication with the first mobile environmental sensor and the network transmitter. The controller includes a processor and a memory. The processor is configured to trigger a measurement from the first mobile environmental sensor. A sensed value is received from the first mobile environmental sensor. The processor compares the sensed value as received from the first mobile environmental sensor to a reference sensed value received by the controller via the network transmitter. The processor calibrates the first mobile environmental sensor based on the comparison of the sensed value as received and the reference sensed value as received. The calibration includes a normalization between the sensed value as received and the reference sensed value as received. The normalization includes a time dependent component.

A system of auto-calibration is provided in a crossing gate mechanism. The crossing gate mechanism comprises a shaft, a gate arm, a gate-down buffer, a brushless DC (BLDC) motor, a motor speed and position controller, an accelerometer and a hall-sense position counter. The system auto-calibrates the accelerometer and/or the hall-sense position counter when they are in disagreement due to temperature or due to some other phenomenon.