Abstract: An Empirical Mode Decomposition (EMD)-based noise estimation process is disclosed herein that allows for blind estimations of noise power for a given signal under test. The EMD-based noise estimation process is non-parametric and adaptive to a signal, which allows the EMD-based noise estimation process to operate without necessarily having a priori knowledge about the received signal. Existing approaches to spectrum sensing such as Energy Detector (ED) and Maximum Eigenvalue Detector (MED), for example, may be modified to utilize a EMD-based noise estimation process consistent with the present disclosure to shift the same from semi-blind category to fully-blind category.

Abstract: Methods, apparatus, systems and articles of manufacture to trigger calibration of a sensor node using machine learning are disclosed. An example apparatus includes a machine learning model trainer to train a machine learning model using first sensor data collected from a sensor node. A disturbance forecaster is to, using the machine learning model and second sensor data, forecast a temporal disturbance to a communication of the sensor node. A communications processor is to transmit a first calibration trigger in response to a determination that a start of the temporal disturbance is forecasted and a determination that a first calibration trigger has not been sent.

Abstract: A computer implemented method is provided for generating a subsurface rock and/or fluid model on a determined domain. The subsurface rock and/or fluid model generated by the invention combines acoustic data and data obtained by an electromagnetic survey in such a way that the resulting model avoids the need of generating an image of the resistivity with the low resolution imposed by the known techniques inverting EM electromagnetic survey data.

Abstract: Improved systematic inversion methodology applied to formation testing data interpretation with spherical, radial and/or cylindrical flow models is disclosed. A method of determining a parameter of a formation of interest at a desired location comprises directing a formation tester to the desired location in the formation of interest and obtaining data from the desired location in the formation of interest. The obtained data relates to a first parameter at the desired location of the formation of interest. The obtained data is regressed to determine a second parameter at the desired location of the formation of interest. Regressing the obtained data comprises using a method selected from a group consisting of a deterministic approach, a probabilistic approach, and an evolutionary approach.

Abstract: A sensor abnormality determining apparatus is configured to determine an abnormality in a sensor apparatus, which is used to recognize a surrounding environment of a vehicle and which includes a heater for heating a cover. The sensor abnormality determining apparatus is provided with: a detector configured to detect a temperature of the heater; an estimator configured to estimate a temperature of the heater on the basis of a speed of the vehicle and an outside air temperature; and a determinator configured to determine an abnormality in the sensor apparatus on the basis of the detected temperature and the estimated temperature.

Abstract: An estimation device including a processor and a memory. The processor acquires multiple reception signals received via multiple reception antennas at a predetermined sampling cycle in a predetermined period. The processor further calculates complex transfer functions and records each of the complex transfer functions in the memory as being associated with each time point at which each of the reception signals is observed. The processor also extracts, among the complex transfer functions, pairs of two complex transfer functions respectively corresponding to two time points in a predetermined interval, and calculates pieces of differential information representing a difference between a pair of two complex transfer functions included in each of the pairs of two complex transfer functions. Based on the above, the processor estimates a direction to a location of a moving body with respect to the estimation device based on each of the plurality of pieces of differential information.

Abstract: Embodiments for estimating ice formation and depth by a processor. Ice formation and ice depth of a selected region of water may be cognitively forecasted using a prediction model such that the prediction model identifies similar characteristics between the selected region of water and one or more alternative regions of water by analyzing content of one or more data sources associated with an ontology of concepts representing a domain knowledge related to the selected region of water and the one or more alternative regions.

Abstract: A method and controller system are described for automatically tuning a controller of a drilling rig. The controller system includes a controller that determines a moving average of measured values, determines a moving standard deviation of the measured values, defines an outer zone of measured values with the determined moving average and the determined moving standard deviation, defines an inner zone of measured values with the determined moving average and the determined moving standard deviation, monitors the measured values for the occurrence of statistical events with respect to the outer zone and inner zone. Based on the detected statistical event, the controller adjusts the gain of the controller the based on the statistical event being associated with the outer zone or inner zone.

Abstract: When two event prediction models produce different numbers of catches, a computer system may be configured to determine which of the two models has the higher net value based on how a “Break-Even Alert Value Ratio” for the models compares to an estimate of the how many false flags are worth trading for one catch. Further, when comparing two event prediction models, a computer system may be configured to determine “catch equivalents” and “false-flag equivalents” numbers for the two different models based on potential-value and impact scores assigned to the models' predictions, and the computing system then use these “catch equivalents” and “false-flag equivalents” numbers in place of “catch” and “false flag” numbers that may be determined using other approaches.

Abstract: A tread wear profile tool for determining wear of a tire is provided, the tool comprising: a body having: a substantially planar shape, at least one groove index member extending distally from the body, wherein the at least one groove index member includes at least one traction element wear gauge, at least one traction element measurement member oriented on a distal edge of the body, and a distal profile; a tire having: a tread having a radially outer profile, the tread having at least one groove, at least one traction element, and two shoulders; and wherein: the distal profile of the body is a negative of the radially outer profile of the tread.

Abstract: Systems and methods for estimating reservoir productivity as a function of position in a subsurface volume of interest are disclosed. Exemplary implementations may: obtain subsurface data and well data corresponding to a subsurface volume of interest; obtain a parameter model; use the subsurface data and the well data to generate multiple production parameter maps; apply the parameter model to the multiple production parameter maps to generate refined production parameter values; generate multiple refined production parameter graphs; display the multiple refined production parameter graphs; generate one or more user input options; receive a defined well design and the one or more user input options selected by a user to generate limited production parameter values; generate a representation of estimated reservoir productivity as a function of position in the subsurface volume of interest using the defined well design and visual effects; and display the representation.

Abstract: A measuring system comprises: a measuring transducer; transmitter electronics; at least one measuring tube; and at least one oscillation exciter. The transmitter electronics delivers a driver signal for the at least one oscillation exciter, and for feeding electrical, excitation power into the at least one oscillation exciter. The driver signal, has a sinusoidal signal component which corresponds to an instantaneous eigenfrequency, and in which the at least one measuring tube can execute, or executes, eigenoscillations about a resting position. The eigenoscillations have an oscillation node and in the region of the wanted, oscillatory length exactly one oscillatory antinode. The driver signal has, a sinusoidal signal component with a signal frequency, which deviates from each instantaneous eigenfrequency of each natural mode of oscillation of the at least one measuring tube, in each case, by more than 1 Hz and/or by more than 1% of said eigenfrequency.

Abstract: A method of processing vehicle diagnostic data is provided for identifying likely vehicle fix(s) associated with a diagnostic data, and identifying a repair procedure(s) for correcting the likely fix(s). The process receiving vehicle diagnostic data from a vehicle onboard computer at a remote diagnostic database, the database being arranged to map vehicle diagnostic data to possible vehicle fix(s). The possible vehicle fix(s) are prioritized in accordance with ranked matches of the received diagnostic data to combinations of diagnostic data stored in a prior experience database. The prior experience database having an identified fix associated with each stored combination of diagnostic data. The fix associated with the highest ranked combination of diagnostic data is identified as the most likely fix. The most likely fix is mapped to a vehicle repair database, the most likely fix being directly mapped to an associated repair procedure for repairing the most likely fix.

Abstract: Systems and methods are disclosed to downscale the resolution of a coarse-resolution soil moisture data. Coarse-resolution soil moisture data may include data cells that each represent a geographic region having at least one dimension greater than or equal to 1 km. A plurality of fine-resolution supplemental soil moisture data may be received that includes at least one of soil data, vegetation data, topography data, and climate data. The fine-resolution supplemental soil moisture data comprising data cells that each represent a geographic region having at least one dimension less than or equal to 100 meters. The coarse-resolution soil moisture data may be downscaled to fine-resolution soil moisture data using the plurality of fine-resolution supplemental soil moisture data, the fine-resolution soil moisture data comprising data cells that each represent a geographic region having at least one dimension less than 100 meters.

Abstract: A metal detector, includes a transmitter for transmitting a repeating sequence of transmit magnetic field, each of the sequence includes a period of changing or constant non-zero transmit magnetic field, immediately followed by period of rapid change of transmit magnetic field, immediately followed by a period of substantially constant or zero transmit magnetic field; a receive coil; and a damping resistor. An end of the receive coil is connected to one end of the damping resistor and the other end of the damping resistor is connectable to a circuit with a variable parameter. A signal is induced in the receive coil during the period of rapid change of transmit magnetic field, and the signal induced in the receive coil decays at least at a termination of the period of rapid change of transmit magnetic field.

Abstract: A frequency modulation continuous wave (FMCW)-based system includes an emitter to transmit at least one linearly modulated wave of radiation to a scene and a receiver to receive a reflection of the transmitted wave from one or multiple objects located at different locations in the scene. The system interferes a copy of the wave outputted by the emitter with the reflection of the transmitted wave received by the receiver to produce a beat signal with spectrum peaks corresponding to reflections from the different locations at the scene. The beat signal is distorted due to the non-linearity of the modulation.

Abstract: The invention relates to a device, method, computer program and computer program product for determining the equivalent series resistance of a power converter having power train parameters comprising a capacitance, an inductance and the equivalent series resistance, the device comprising a resistance determining unit that obtains a ripple voltage embedded in an output voltage of the power converter, determines a ripple current based on the output voltage, the inductance and operational switching data of the power converter, and estimates the equivalent series resistance of the power converter based on the ripple voltage, ripple current and the operational switching data.

Abstract: An ultrasonic flow meter includes a flow tube, and first and second ultrasound transducers that transmit ultrasonic pulses through a liquid flowing through the tube. The flow tube includes a reflector assembly that reflects pulses from the first transducer to the second transducer, and from the second transducer to the first transducer, thereby facilitating different sequences of time-of-flight measurements. A microcontroller obtains multiple sequences of measurements, where all the measurements in a single sequence are of the same measurement type, and each sequence uses a different type of measurement than that used by the other sequences. The microcontroller filters out the longest and shortest time-of-flights and, using an average of the remaining time-of-flights, calculates a volumetric flow rate of the fluid.

Abstract: Methods for responding to a potential incident are provided in which data about the potential incident is received from a first remote sensing unit. Additional remote sensing units are identified that may have additional data about the potential incident, and additional data about the potential incident is received from at least some of these additional remote sensing units. The totality of the received data is then analyzed, and at least one remote entity is automatically notified regarding the occurrence of the potential incident.

Abstract: Systems and methods for training a model that uses probabilities of lithologies as prior information in an inversion are disclosed. Exemplary implementations may: obtain training data, the training data including (i) subsurface map data sets, and (ii) known lithologies; obtain an initial seismic mapping model; generate a conditioned seismic mapping model by training the initial seismic mapping model; store the conditioned seismic mapping model; obtain a target subsurface map data set; apply the conditioned seismic mapping model to generate a classified lithology map data set; apply an inversion to the classified lithology map data set to generate volumes of lithologies; generate an image that represents the volumes of lithologies; display the image.