Systems and methods are disclosed that include tools that utilize Dynamic Detector Tuning (DDT) software that identifies near-optimal parameter settings for each sensor using a neuro-dynamic programming (reinforcement learning) paradigm. DDT adapts parameter values to the current state of the environment by leveraging cooperation within a neighborhood of sensors. The key metric that guides the dynamic tuning is consistency of each sensor with its nearest neighbors: parameters are automatically adjusted on a per station basis to be more or less sensitive to produce consistent agreement of detections in its neighborhood. The DDT algorithm adapts in near real-time to changing conditions in an attempt to automatically self-tune a signal detector to identify (detect) only signals from events of interest. The disclosed systems and methods reduce the number of missed legitimate detections and the number of false detections, resulting in improved event detection.

Implementations of the present disclosure include methods, systems, and computer-readable storage mediums for receiving a first current detected data value for a first sensor of a sensor network including multiple sensors, determining a first predicted data value based on historical data values of the first sensor, and a second predicted data value based on a second current detected data value for a second sensor, providing a combined predicted data value based on the first predicted data value, and the second predicted data value, comparing the first current detected data value and the combined predicted data value to provide a comparison, and determining a first corrected data value for the first sensor.

Provided herein is a system and method for determining whether a sensor is calibrated and recalibrating of an uncalibrated sensor. The system comprises a sensor system comprising a sensor and an analysis engine configured to determine whether the sensor is uncalibrated. The system further comprises an error handling system configured to determine whether to perform a recalibration in response to the sensor system determining that the sensor is uncalibrated. The error handling system further comprises a recalibration engine configured to perform a recalibration.

A method of detecting a vibration comprises determining a vibration flag has been set during a running mode of the magnetic field sensor, remaining in the running mode until a predetermined number of vibration flags have been set, and entering a recalibration mode when the predetermined number of vibration flags have been set. A counter can be implemented for each of the plurality of vibration flags to determine if the predetermined number of vibration flags have been set.

Various embodiments related to an electronic device and a method for controlling sensitivity of a sensor on the basis of window attributes are described. According to an embodiment, an electronic device may include: a housing; a window cover housed in the housing, in which an attribute of at least a partial area may be changed via an electrical control on the basis of at least one attribute; at least one sensor disposed below at least the partial area; and at least one processor, wherein the at least one processor is configured to identify control information related to an operation of changing the attribute of at least the partial area on the basis of the at least one attribute, to determine a sensitivity related to the at least one sensor corresponding to the at least one attribute at least on the basis of the control information, and to acquire peripheral information of the exterior of the electronic device by using the at least one sensor, at least on the basis of the determined sensitivity.

A method for synchronization of an input signal includes providing the input signal to a first signal path associated with a first clock and to a second signal path associated with a second clock, detecting an edge of the input signal by detecting values of the input signal along the first signal path at a first rising edge of the first clock and at a second rising edge of the first clock, detecting a value of the input signal along the second signal path at an edge of the second clock, and selecting the input signal from the first signal path or from the second signal path according to the detected value of the input signal along the second path when an edge of the input signal along the first path is detected.

A sensor system including one sensor element for acquiring at least one measured variable, a circuit system for operating the sensor device and for generating sensor data based on the sensor signals, and a configuration data memory for configuration data. The sensor system is able to be alternatively operated in at least in an active mode, and in a sleep mode. The circuit system is configured in such a way that the memory content of the configuration data memory is independent of the respective operating mode of the sensor system, so that the stored configuration data are maintained in a sleep mode, and the sensor system is configured in such a way that the at least one part that is switched to a currentless state in the sleep mode is reconfigured on the basis of the stored configuration data when a change to an active mode is initiated.

A system to automatically calibrate gains and/or offsets for each position feedback signal in order to reduce variations between position feedback signals for each sensor in a linear drive system is disclosed. As a mover travels along a track segment, the segment controller records the position feedback signal output from each position sensor corresponding to a magnet on the mover passing the position sensor. The segment controller determines peak values for each position feedback signal and compares the peak values against a target peak value. The segment controller then adjusts a gain value for each sensor by a ratio of the target peak value to a measured peak value. The segment controller periodically monitors the position feedback values generated by one mover as it travels along the track segment and automatically updates the sensor gains as previously described.

Methods and apparatus are disclosed for calibration determinations for handheld moisture meters in the field. A calibration reference stand emulates a sample with an equivalent moisture content, allowing rapid determination whether a moisture meter is out of calibration, or determination of a new calibration value. The calibration reference stand includes an electromagnetic load, which can be formed of a metal sheet or high dielectric constant material, supported on a platform, and mechanical fixturing for reproducible positioning of a moisture meter on the stand. Associated methods and variations are disclosed.

A system and method for determining if a field calibration of a subject sensor associated with a vehicle is warranted, and calibrating the subject sensor using a sensor associated with another vehicle when calibration is warranted. Reference vehicles may perform predetermined maneuvers in order to provide additional measurements for use during calibration.