Abstract: Techniques disclosed herein relate to determining a calibrated measurement value indicative of a physiological condition of a patient using sensor calibration data and a performance model. In some embodiments, the techniques involve obtaining one or more electrical signals from a sensing element of a sensing arrangement, where the one or more electrical signals are influenced by a physiological condition in a body of a patient. The techniques also involve obtaining calibration data associated with the sensing element from a data storage element of the sensing arrangement, converting the one or more electrical signals into one or more calibrated measurement parameters using the calibration data, obtaining a performance model associated with the sensing element, obtaining personal data associated with the patient, and determining, using the performance model and based on the personal data and the one or more calibrated measurement parameters, a calibrated output value indicative of the physiological condition.

Abstract: An evaluation method for evaluating a swing characteristic of a subject with respect to a flying and thus coming object, includes: calculating swing information corresponding to a motion characteristic of the object based on sensor data detected by at least one of a first sensor attached to a ball hitting tool or a back of a hand of the subject and a second sensor attached to a waist of the subject when the subject swings the ball hitting tool with respect to the object; classifying a plurality of pieces of such swing information into a plurality of groups based on the motion characteristic of the object; for each of the plurality of groups, extracting representative swing information in the group based on one or more pieces of swing information belonging to the group; and evaluating a swing characteristic of the subject based on the representative swing information of each group.

Abstract: A method includes obtaining a plurality of master sensor responses with a master sensor in a set of training fluids and obtaining node sensor responses in the set of training fluids. A linear correlation between a compensated master data set and a node data set is then found for a set of training fluids and generating node sensor responses in a tool parameter space from the compensated master data set on a set of application fluids. A reverse transformation is obtained based on the node sensor responses in a complete set of calibration fluids. The reverse transformation converts each node sensor response from a tool parameter space to the synthetic parameter space and uses transformed data as inputs of various fluid predictive models to obtain fluid characteristics. The method includes modifying operation parameters of a drilling or a well testing and sampling system according to the fluid characteristics.

Abstract: The invention concerns a method for monitoring a gear system (1) comprising at least two wheels, each wheel having a characteristic frequency (f1, f2), a vibratory or acoustic signal representative of these vibrations having been acquired by a sensor (21), a vibratory or acoustic digital signal x(t) having been obtained, the method comprising, for each characteristic frequency of the system (1), the steps of filtering (E1) the digital signal by means of a filter in such a way as to obtain an image monitoring signal of at least one vibratory component of at least one defect; determining (E3) the square envelope of said monitoring signal, defined by the square absolute value of the Hilbert transform of the monitoring signal so as to extract an image of the modulating signals associated with the rotation of the wheels from the monitoring signal; determining (E4) the synchronous average of said square envelope relative to the period of rotation of a wheel of interest chosen from the wheels of the gear, said avera

Abstract: A method and system for inspecting deviation in dynamic characteristics of a feeding system are provided, and the method includes: exciting the feeding system and detecting vibrations of a subcomponent of a component to be inspected of the feeding system to generate a monitoring excitation signal in a monitoring mode; calculating, by a modal analysis method, monitoring eigenvalues and monitoring eigenvectors of the monitoring excitation signal; determining, by a modal verification method, similarity between the monitoring eigenvalues and standard eigenvalues of a digital twin model and similarity between the monitoring eigenvectors and standard eigenvectors of the digital twin model; determining that the dynamic characteristics of the subcomponent are deviated, when the monitoring eigenvalues and monitoring eigenvectors are not similar to the standard eigenvalues and standard eigenvectors. Therefore, the subcomponent whose dynamic characteristics are deviated can be sensed remotely and precisely.

Abstract: A method and a system for predicting a gas content in transformer oil based on a joint model are provided and belong a field of transformer failure prediction. The method includes the following: determining a type and a time series of gas to be predicted related to a failure, processing an original series by adopting empirical mode decomposition (EMD) and local mean decomposition (LMD) for a non-stationarity characteristic of a dissolved gas concentration series in oil; performing normalization on each sub-series component, dividing a training sample and a test sample; and establishing a deep belief network (DBN) prediction model for each of the sub-series components for training, performing superposition and reconstruction on the established DBN prediction model to perform characteristic extraction and classification on multi-dimensional data of the failure, evaluating prediction performance of the prediction model through calculating an error index.

Abstract: A method for identifying a collar using machine learning may include acquiring one or more measurements from one or more depth points within a wellbore including a tubular string, training a machine learning model using a training dataset to create a trained machine learning model, and identifying at least one hyperparameter using the trained machine learning model. The method may further include creating a synthetic model, wherein the synthetic model is defined by one or more pipe attributes, minimizing a mismatch between the one or more measurements and the synthetic model utilizing the at least one hyperparameter, updating the synthetic model to form an updated synthetic model, and repeating the minimizing the mismatch with the updated synthetic model until a threshold is met.

Abstract: A method and system for resistivity imaging may comprise disposing a downhole tool into a borehole, wherein the downhole tool comprises a pad and a plurality of electrodes disposed on the pad, taking an impedance measurement with the plurality of electrodes, applying a correction to the measured impedance by using a relaxation constant of the measured impedance to find a corrected impedance for each electrode of the plurality of electrodes, and constructing an image from the corrected impedance, wherein the image maps formation impedance. The system for resistivity imaging may comprise a downhole tool, a conveyance for disposing the downhole tool in a borehole, and an information handling system. The downhole tool may further comprise an arm and a pad wherein the pad comprises a plurality of electrodes and at least one return electrode.

Abstract: Embodiments of the present disclosure are directed towards a method for improving neutron interpretations in a subsurface formation. Embodiments may include estimating mineral concentrations and kerogen concentrations at one or more depths in the subsurface formation and determining kerogen properties at one or more depths in the subsurface formation. Embodiments may further include calculating mineral properties at one or more depths in the subsurface formation and calculating a neutron-based log response to a rock matrix based upon, at least in part, the kerogen properties and the mineral properties at one or more depths in the subsurface formation by subtracting.

Abstract: A method may include obtaining dielectric log data regarding a geological region of interest. The method may further include generating sponge core data of the geological region of interest using a neural network model and the dielectric log data. The neural network model may be trained using various dielectric logs from various well sources. The method may further include determining, using the sponge core data, an amount of hydrocarbons in the geological region of interest.

Abstract: Methods and systems for inspecting the integrity of multiple nested tubulars are provided. A method for inspecting the integrity of multiple nested tubulars can comprise conveying an electromagnetic pipe inspection tool inside the innermost tubular of the multiple nested tubulars; taking measurements of the multiple nested tubulars with the electromagnetic pipe inspection tool; inverting the measurements for a tubular integrity property of each individual tubular of the multiple nested tubulars to provide inverted tubular integrity properties; arranging the inverted integrity properties into an inverted image representative of an estimated tubular integrity property of each individual tubular; and feeding the inverted image to a pre-trained deep neural network (DNN) to produce a corrected image, wherein the DNN comprises at least one convolutional layer, and wherein the corrected image comprises a representation of the tubular integrity property of each individual tubular of the multiple nested tubulars.

Abstract: A method for characterizing propagation of metallic short cracks and long cracks includes: acquiring crack tip opening displacement in a metallic notched sample under cyclic loading; acquiring crack tip opening displacement amount caused by a single monotonic tensile in the notched sample, and crack tip opening displacement caused by monotonic tensile in the notched sample under a maximum far-field stress; and based on an original Shyam model, constructing, according to the crack tip opening displacement amount and the crack tip opening displacement by obtaining yield strength of metals, a Tm?c model for characterizing the propagation of short cracks and long cracks, where the Tm?c model is used for representing the growth rate of short cracks and long cracks.

Abstract: A transportation data logging device including one or more of: a sensing unit configured to sense at least one of internal state information of the accommodating body and external event information of the accommodating body; a memory unit configured to store information acquired through the sensing unit; a communication unit configured to transmit the information stored in the memory unit to an external electric device; a control unit configured to control operation of the sensing unit, the memory unit and the communication unit; and a power supply unit configured to supply power to the control unit.

Abstract: A system to detect and control noise in seismic surveys is provided. The system receives, responsive to a seismic wave generated by a source, seismic data detected by a sensor component of a seismic data acquisition unit. The system generates, for windows of the seismic data, Hough tensors for seismic data transforms in multiple dimensions. The system detects, based on a comparison of an eigenvector and eigenvalue of a canonical matrix of the Hough tensors with a historical eigenvector and eigenvalue of a historical canonical matrix of historical Hough tensors of historical seismic data, a first presence of noise in the seismic data. The first presence of noise can correspond to a noisy spectra pattern in a seismic data transform of the seismic data. The system provides, responsive to detection of the first presence of noise in the seismic data, a notification to adjust a characteristic of the seismic survey.

Abstract: A system and method are provided for making time domain measurements of a wideband periodic radio frequency (RF) signal using a narrowband measurement instrument operating in a frequency domain. The method includes receiving the periodic RF signal at a single port corresponding to a receiver of the measurement instrument; determining a complex absolute signal having amplitudes and phases of spectral components of the periodic RF signal over an entire bandwidth of the periodic RF signal in the frequency domain; and reconstructing a time domain signal corresponding to the periodic RF signal by transforming the complex absolute signal from the frequency domain to the time domain.

Abstract: A measurement system is provided for use in optical metrology measurements. The measurement system comprises a control system which processes raw measured data indicative of spectral interferometric signals measured on a sample in response to illuminating electromagnetic field incident onto a top portion of the sample and comprising at least one spectral range to which said sample is substantially not absorbing.

Abstract: Methods, systems, and devices for dataset simplification of N-dimensional signals captured for asset tracking are provided. An example method involves obtaining raw data from a data source onboard an asset and determining whether obtainment of the raw data results in satisfaction of a data logging trigger. The method further involves, when the data logging trigger is satisfied, performing a dataset simplification algorithm on a target set of data within the raw data to generate a simplified set of data, wherein the target set of data contains a time-variant N-dimensional signal, N>=1, and the dataset simplification algorithm is generalized for all N>=1. The method further involves transmitting the simplified set of data to a server.

Abstract: The present disclosure relates to a sensor system, comprising a microcontroller, at least one sensor chip designed to measure a physical quantity, wherein the microcontroller and the sensor chip are coupled to one another via at least one analog signal interface for conveying analog measurement data between the sensor chip and the microcontroller and via a bidirectional digital signal interface for conveying digital secondary information between the sensor chip and the microcontroller.

Abstract: Battery management system with integrated contactor economizer. A system for reducing power consumption included herein comprises a switching mechanism comprising a switch, and a microcontroller coupled to the switching mechanism, wherein the switching mechanism is coupled to a coupling mechanism and configured to energize the coupling mechanism, and wherein the processor is configured to provides a pulse width modulated on/off signal with duty cycle ranging between 50% to 100% and frequencies between 1 KHz to 20 KHz.

Abstract: For the method and system (1) for measuring physical parameters, several motion sensor assemblies (2) are arranged in different positions on a trampoline (10) and activated to measure any motion over time during jumps performed by a competitor on a trampoline. Following the processing of measurements made in each sensor assembly, data signals are transmitted to a base station (25). As a result of the various measurements received over time from each sensor assembly, the base station determines a time of flight for each of the competitor's jumps, and a position of contact of the competitor on the bed (21) to award points to the competitor for the performance of a determined number of jumps during the competition.