A sensor system may include first and second sensors configured to be coupled to a vehicle and generate respective first and second sensor signals indicative of operation of the vehicle. The sensor system may also include a sensor anomaly detector including an anomalous sensor model configured to receive the first and second sensor signals and determine that one or more of the first sensor or the second sensor is an anomalous sensor generating inaccurate sensor data. The sensor system may also be configured to identify one or more of the first sensor or the second sensor as the anomalous sensor generating inaccurate sensor data.

An electronic device includes a rotating body coupled to a bezel part to be rotatable and including a plurality of magnets, a pair of Hall sensors configured to sense a magnetic field caused by the plurality of magnets, a magnetic sensor disposed in an internal space, and a processor configured to calibrate, based on first magnetic field data, second magnetic field data based on a calculated offset value.

Provided is a calibration apparatus including: an acquisition unit for acquiring a detection position of a mobile body for each actual position of the mobile body; a calculation unit for calculating, for a detection position of each actual position of the mobile body, an error between a slit position signal for detecting a slit position and an ideal slit number corresponding to the actual position; a determination unit for determining whether two or more actual positions having at least partially different slit numbers in units of first slits of a predefined number correspond to a same detection position; and a generation unit for generating, in response to the two or more actual positions corresponding to a same detection position, a correction value for correcting an error by a magnitude between errors at the two or more actual positions with respect to the slit position signal at the detection position.

The invention relates to a sensor (1) for detecting environmental parameters, comprising a transmission device (3) by means of which an output signal of the sensor (1) can be emitted, and a correction device (4) by means of which the sensor measurement value can be corrected for the emission of a correct output signal, which sensor is to be easy to produce, and wherein only a small output is to be required for a method for calibrating a sensor of this type. According to the invention, the sensor is calibrated by means of the correction device thereof, on the basis of cloud-based data.

The invention relates to a sensor (1) for detecting environmental parameters, comprising a transmission device (3) by means of which an output signal of the sensor (1) can be emitted, and a correction device (4) by means of which the sensor measurement value can be corrected for the emission of a correct output signal, which sensor is to be easy to produce, and wherein only a small output is to be required for a method for calibrating a sensor of this type. According to the invention, the sensor is calibrated by means of the correction device thereof, on the basis of cloud-based data.

A sensor device includes at least one sensor, a digital signal processor and an amplifier. The at least one sensor is configured to measure a variable physical quantity and provide a raw sensor signal at an output of the at least one sensor. The digital signal processor is configured to preprocess the raw sensor signal output by the at least one sensor into a sensor signal and to further process the sensor signal into a pulse-width-modulated output signal having a duty cycle that is dependent on the measured quantity using a plurality of device-specific correction parameters stored in a memory to convert the sensor signal into the pulse-width modulated output signal. The amplifier is configured to convert the pulse-width modulated output signal into an analog voltage or current signal.

A sensor device includes at least one sensor, a digital signal processor and an amplifier. The at least one sensor is configured to measure a variable physical quantity and provide a raw sensor signal at an output of the at least one sensor. The digital signal processor is configured to preprocess the raw sensor signal output by the at least one sensor into a sensor signal and to further process the sensor signal into a pulse-width-modulated output signal having a duty cycle that is dependent on the measured quantity using a plurality of device-specific correction parameters stored in a memory to convert the sensor signal into the pulse-width modulated output signal. The amplifier is configured to convert the pulse-width modulated output signal into an analog voltage or current signal.

Systems and methods for measurement and management are disclosed that provide complex measurements cost-effectively at very high accuracy. These methods and systems in some cases achieve measurement accuracy exceeding the accuracy of the reference standards they rely on, and eliminate expensive and disadvantageous recalibration procedures. The accurate measurements are integrated with management functions, applying the measurement data to meet objectives of the integrated system and workflow goals of its user. The disclosed systems and methods comprise an explicit or expressly represented model both of themselves and of candidate external systems to be measured and managed. The models may be configured and reconfigured by the owner-user through either local or remote means. The system intelligently reconfigures itself to adapt dynamically to the conditions of measurement and the user's and system's goals at each moment. In an embodiment, the system includes high-accuracy and reconfigurable components including a meter or control head adapted for user precision assembly and maintenance that computes and displays or communicates the measurements, displaying measurements in desired units, grouping functions according to ergonomic and cognitive principles based on the activity and workflow of a user in relation to the internal model. The use of models permits the system to compute and provide complex and inferred measurements of ultimate interest to the user, including quantities that cannot be directed measured and only can be determined through reasoning or computation by applying models to raw measurement data. The precision-assembly modular electromechanical design further permits an owner-user to precisely assemble, maintain, modify the apparatus and calibrate the equipment for accuracy.

Diffraction-based imaging systems are described. Aspects of the technology relate to imaging systems having one or more sensors inclined at angles with respect to a sample plane. In some cases, multiple sensors may be used that are, or are not, inclined at angles. The imaging systems may have no optical lenses and are capable of reconstructing microscopic images of large sample areas from diffraction patterns recorded by the one or more sensors. Some embodiments may reduce mechanical complexity of a diffraction-based imaging system. A diffractive imaging system comprises a light source, a sample support configured to hold a sample along a first plane, and a first sensor comprising a plurality of pixels disposed in a second plane that is tilted at an inclined angle relative to the first plane. The first sensor is arranged to record diffraction images of the light source from the sample.

A method for determining the level of contamination in cities comprising the steps of providing a server, transmitting information from users which report contamination issues by means of a mobile electronic device to the server, providing a wireless sensor network (WSN) for measuring level of contamination, obtaining measured data tagged with a geo-reference tag and a time stamp, and configured for supporting delay-tolerant communications transmitting data measured from sensors to the server, processing data measured and information from users by using big data and machine learning algorithms, and providing reports on contamination levels; and a system for collecting and processing environmental information comprising at least one mobile electronic device, including at least one environmental sensor, at least one wireless communication interface, a geo-location unit, and a storage unit; at least one communication gateway and at least a server for storing and processing the information obtained.