Abstract: A temperature estimation system includes an internal temperature data obtainer that obtains internal temperature data of a smartphone carried by a user; an operation data obtainer that obtains operation data on an operation state of the smartphone; and a temperature estimator that calculates an estimated value of an external temperature in a vicinity of the smartphone from the internal temperature data and the operation data of the smartphone, based on correlation among internal temperature data of a mobile terminal device for measurement, operation data on an operation state of the mobile terminal device for measurement, and actual temperature data that represents an actual environmental temperature in a vicinity of the mobile terminal device for measurement.

Abstract: This invention relates generally to ionogram image processing, autoscaling and inversion systems and methods for ionospheric monitoring, modeling, and estimation of the same. One advantage of the present invention is to provide a system, e.g., a lightweight, low-power, and fully-autonomous ionospheric monitoring system that is able to provide fully processed and highly accurate ionosphere characterization in near real-time over a low data-rate satellite link.

Abstract: Apparatus and methods are described for monitoring a subject. A sensor monitors the subject and generates a sensor signal in response thereto and a plurality of filters are used to filter the sensor signal using respective filter parameters. A computer processor receives the sensor signal, filters the signal with each of two or more of the filters, and in response to a quality of each of the filtered signals, selects one of the plurality of filters to filter the sensor signal. Subsequently, the computer processor detects that the subject has undergone motion, by analyzing the sensor signal, and in response thereto, filters the signal with each of two or more of the filters, and in response to a quality of each of the filtered signals, selects one of the plurality of filters to filter the sensor signal. Other applications are also described.

Abstract: The invention discloses a system for identifying an adverse event likely to occur in respect of a subject to receive or having received immunotherapy treatment. The system comprises a memory comprising instruction data representing a set of instructions; and a processor configured to communicate with the memory and to execute the set of instructions. The set of instructions, when executed by the processor, cause the processor to obtain a subject profile associated with the subject; obtain drug administration data associated with the subject; obtain medical data associated with the subject; determine, based on the subject profile and the drug administration data, a first set (114) of adverse events likely to occur in respect of the subject; and determine, based on the subject profile and the medical data, a second set (116) of adverse events likely to occur in respect of the subject. A subject monitoring apparatus, a method and a computer program product are also disclosed.

Abstract: Conformance testing of a rebuilt motor includes disposing a motor under test in a motor test stand, coupling a plurality of sensors to the motor under test including a first vibrational sensor to the motor under test; a first temperature sensor to the motor under test; a first rotational speed sensor to the motor under test. A set of test parameters are received comprising parameters for a conformance test, the test parameters including a vibrational sensor parameter, a temperature sensor parameter, and a rotational speed parameter. A motor under test is placed in an on-state and a processing device receives sensor data simultaneously from the sensors, determines that the rotational speed satisfies the rotational speed parameter, and stores time sampled sensor data received from the plurality of sensors relative to a time zero corresponding to a time when the rotational speed satisfies the rotational speed.

Abstract: An apparatus and method for determining injury risk from plurality of exercises using a device with a heart rate sensor, a processor, memory including a resident memory, an output device and software. For example the method may: determine and store values of Training load of each exercise in the resident memory obtaining a register, perform a HRV-based Recovery Test and storing Recovery values in the register, calculate indices depicting Short Term Training Load, ratio of Short Term Training Load to Long Term Training Load, and Recovery, calculate weighting factors for each said index, correct each index with corresponding weighting factor to obtain weighted indices, calculate a value of the Injury Risk using the weighted indices, and display the value of Injury Risk.

Abstract: Systems, methods, and non-transitory computer readable media may be configured to calibrate sensor measurements based on detection of brake light. Acceleration information of a first vehicle may be obtained. The acceleration information may define an acceleration probability distribution of the first vehicle. Image information may be obtained. The image information may define an image of the first vehicle. Whether a brake light of the first vehicle is on or off may be determined based on the image of the first vehicle. Based on a determination that the brake light of the first vehicle is on, a calibrated acceleration probability distribution of the first vehicle may be generated based on the acceleration probability distribution of the first vehicle and a braking-calibration curve.

Abstract: A system for seismic imaging of a subterranean geological formation, the system includes a receiver configured to obtain seismic data comprising a data volume representing a post-stacked image. The system includes a filtering module configured to: apply frequency-wavenumber (F-K) filter to the data volume extract a negative-dip structure image and apply the frequency-wavenumber (F-K) filter to the data volume extract a positive-dip structure image. The system includes a diffraction rendering module configured to: multiply the positive-dip structure image with the negative-dip structure image and generate a diffraction-enhanced seismic image representing a geological formation of the data volume.

Abstract: The invention relates to a method of determining the vertical profile of the wind speed upstream from a wind turbine (1), wherein wind speed measurements are performed by a LiDAR sensor (2), then the exponent ? of the power law is determined by an unscented Kalman filter and measurements, and the exponent ? is applied to the power law in order to determine the vertical wind speed profile.

Abstract: The present invention concerns a method for determining the optimum positioning of source-receiver pairs capable of acquiring seismic data, comprising: a first step of identifying a zone of interest having been the subject of an earlier seismic acquisition, in order to obtain an image of the subsoil of same; a second step of obtaining seismic data acquired during the earlier seismic acquisition of said zone of interest during a time of interest; a third step of applying a partial or total demigration of seismic data, in order to determine the positions of each source-receiver pair having contributed to the image of said subsoil of said zone of interest during said time of interest; a fourth step of obtaining unprocessed traces for said source-receiver pair positions; a fifth step of selecting at least one optimum unprocessed trace from among said unprocessed traces; and a sixth step of determining the source-receiver pair positions corresponding to said at least one optimum unprocessed trace.

Abstract: Various embodiments of the present technology may comprise methods and apparatus for predictive modeling in an imaging system. The methods and apparatus for predictive modeling may comprise various circuits and/or systems configured to measure a temperature and utilize the measured temperature in conjunction with a predictive model to predict a self-heating value, temperature changes, and an ambient temperature.

Abstract: A method detects a defect in a vibration sensor including the whitening of the vibratory signal delivered by the vibration sensor, and the calculation of an indicator of asymmetry of the whitened vibratory signal. The whitening may be a cepstral whitening implemented simply by dividing the Fourier transform of the signal by its modulus. The asymmetry indicator is a counter of aberrant points in the whitened vibratory signal.

Abstract: The invention relates to a method for determining a heading, in which a magnetic field is measured by at least one magnetometer and a magnetic heading is determined from said measurement and in which calculation means implement a processing calculating, for each measurement of magnetic heading, a value for characterising the heading thereby determined, characterised in that said characterisation value is a monotone function of a norm of the measured magnetic field gradient, said value being used in the determination of the heading.

Abstract: A standalone odometry device includes an accelerometer and/or gyroscope configured to be mounted on a wheel or axle of a vehicle. A controller in communication with the accelerometer and/or gyroscope is configured to receive data from the accelerometer and/or gyroscope. The controller processes the data to determine one or more of the speed, wheel rotation direction, accumulated distance travelled, stationary status, acceleration, deceleration, wheel diameter, and grade of surface on which the wheel is in contact.

Abstract: A fiber optic sensor, a manufacturing method thereof and a motion sensing device relating to the field of sensors are provided. The fiber optic sensor includes a bushing, a magnetic mass block and a sensing optical fiber. The magnetic mass block is located in the bushing, and a magnetic fluid is adsorbed onto an outer surface, opposite to an inner wall of the bushing, of the magnetic mass block, such that the magnetic mass block is capable of being suspended in the bushing and moving along an axis of the bushing. One end of the sensing optical fiber is in a first end opening of the bushing. A surface, opposite to the sensing optical fiber, of the magnetic mass block is a reflecting surface. The sensing optical fiber is configured to provide incident light for the reflecting surface and to receive measuring light from the reflecting surface.

Abstract: A method and apparatus for forecasting output power of wind turbine in a wind farm. The present invention provides a method for forecasting output power of a wind turbine in a wind farm, including: generating a corrected data set based on environmental data collected from at least one sensor in the wind farm; correcting a weather forecasting model by using the corrected data set; obtaining a forecast value of wind information at the wind turbine based on the corrected weather forecasting model; and forecasting the output power of the wind turbine based on the forecast value and a power forecasting model.

Abstract: An operating component has a sensor device for recording measurement values and a communication device for transmitting a status report. A data storage device stores the recorded measurement values and a status estimation device determines an operating status with the aid of the recorded measurement values.

Abstract: Classification of individuals based on their glycemic pattern and applications thereof are described. Generally, systems utilize continuous glucose monitoring data to determine glycemic pattern variability, which can be used as a basis to classify and treat individuals.

Abstract: Described embodiments provide systems and methods for detecting outliers on a series of data. A device receives a plurality of data points and adds a received data point to a first window of data comprising at least a predetermined number of received data points from the plurality of data points, responsive to detecting that the received data point is not an outlier from the first window of data. The device detects that one or more next data points of the received plurality of data points are outliers from the first window of data and determines that a count of the one or more next data points that are outliers exceeds a predetermined threshold. In response, the device establishes a replacement window of data.

Abstract: In an embodiment, an apparatus (16) is presented that classifies device-sensed movement along a path based on a score that characterizes a geometrical property of the movement.