Abstract: A first resistivity value and a correlation function relating thickness of a conductive layer having the first resistivity value to a signal from an in-situ monitoring system are stored. A second resistivity value for a conductive layer on a substrate is received. A sequence of signal values that depend on thickness of the conductive layer is received from an in-situ electromagnetic induction monitoring system that monitors the substrate during polishing. A sequence of thickness values is generated based on the sequence of signal values and the correlation function. For at least some thickness values of the sequence of thickness values adjusted thickness values are generated that compensate for variation between the first resistivity value and the second resistivity value to generate a sequence of adjusted thickness values. A polishing endpoint is detected or an adjustment for a polishing parameter is determined based on the sequence of adjusted thickness values.

Abstract: A computer-implemented method of creating synthetic training data records for machine learning, comprising a source computer system operatively connected to a separate target computer system, where the target system comprises real data records, the contents of which are not known to the source computer system. The source computer system comprises the generator component of a generative adversarial network (GAN) and the target computer system comprises a discriminator component of the GAN. The source computer system generates one or more synthetic training records using a computational process that does not reveal contents of the real data records. Also disclosed is a method of training a machine-learning model using the one or more synthetic training records.

Abstract: The present invention provides methods and systems to estimate energy losses due to partial equipment failure in photovoltaic (PV) systems based on measured power and energy data, weather data, PV system configuration information, and modeled power and energy generation data.

Abstract: This disclosure relates to localization and tracking of an object. As one example, measurement data can be stored in memory to represent measured electrical signals at each of a plurality of known measurement locations in a given coordinate system in response to an applied signal at an unknown location in the given coordinate system. A dipole model cost function has parameters representing a dipole location and moment corresponding to the applied signal. A boundary condition can be imposed on the dipole model cost function. The unknown location in the given coordinate system, corresponding to the dipole location, can then be determined based on the stored measurement data and the dipole model cost function with the boundary condition imposed thereon.

Abstract: A system and method are provided for correlating well log data and seismic data corresponding to subterranean formations to generate a seismic well tie that preserves blocking schemes associated with the well log data and constraints corresponding to each block of samples. The seismic well tie may be generated by correlating samples of the well log data with the seismic data by shifting at least some of the samples and using the constraint on changes to the sample values to prevent the sample values of each of the one or more blocks of the samples from changing beyond the constraint. In some aspects, the constraints may relate to a constant velocity or a linearly changing velocity within various blocks of the well log data.

Abstract: A first resistivity value and a correlation function relating thickness of a conductive layer having the first resistivity value to a signal from an in-situ monitoring system are stored. A second resistivity value for a conductive layer on a substrate is received. A sequence of signal values that depend on thickness of the conductive layer is received from an in-situ electromagnetic induction monitoring system that monitors the substrate during polishing. A sequence of thickness values is generated based on the sequence of signal values and the correlation function. For at least some thickness values of the sequence of thickness values adjusted thickness values are generated that compensate for variation between the first resistivity value and the second resistivity value to generate a sequence of adjusted thickness values. A polishing endpoint is detected or an adjustment for a polishing parameter is determined based on the sequence of adjusted thickness values.

Abstract: A method for calibrating phase-frequency characteristics of low frequency accelerometer based on time-spatial synchronization, comprises: measuring excitation displacement of the low frequency accelerometer to realize excitation acceleration measurement of the low frequency accelerometer; realizing alignment of the excitation acceleration signal of the low frequency accelerometer with output voltage signal of the low frequency accelerometer in the spatial domain based on TSS technology, fitting the excitation acceleration signal and the output voltage signal respectively by SAM, and calculating phase ?F of the excitation acceleration signal at a zero position of horizontal long-stroke shaker and phase ?Z of the output voltage signal at the time when a zero encoder on the shaker outputs pulse; and calculating the sensitivity phase of the low frequency accelerometer with ?Z and ?F, and determining phase-frequency characteristics of the low frequency accelerometer by calibrating the sensitivity phases at differe

Abstract: A location engine that generates an estimate of the measurement bias of the pressure sensor in a wireless terminal. The estimate is determined from a probability distribution characterized as having a flat top with exponentially decaying sides. The probability distribution is generated by inferring i) a range of elevations within which the wireless terminal is most likely present, wherein the elevations have associated barometric pressures, and ii) a corresponding range of measurement biases based on an inferred range of the barometric pressures. The location engine updates the probability distribution over time. The location engine makes a single estimate of measurement bias available by determining a mean of the updated probability distribution, such as an average of the low and high endpoints that define the flat top. Subsequently, the location engine generates an estimate of the elevation of the wireless terminal by accounting for the estimate of measurement bias.

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: Systems and methods for determining location of critical dimension (CD) measurement or inspection are disclosed. Real-time selection of locations to take critical dimension measurements based on potential impact of critical dimension variations at the locations can be performed. The design of a semiconductor device also can be used to predict locations that may be impacted by critical dimension variations. Based on an ordered location list, which can include ranking or criticality, critical dimension can be measured at selected locations. Results can be used to refine a critical dimension location prediction model.

Abstract: Methods, systems, and devices for dataset simplification of multidimensional 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 multidimensional signal and the dataset simplification algorithm is generalized for any multidimensional signal. The method further involves transmitting the simplified set of data to a server.

Abstract: A method for predicting an anomaly in a combustor (16) is presented. The method includes receiving signals representative of parameters in one or more combustion cans (22, 24) of the combustor, generating a plurality of patterns based on a permutation entropy window and the signals, identifying a plurality of pattern categories in the plurality of patterns, determining a permutation entropy based on the plurality of patterns and the plurality of pattern categories, and predicting an anomaly in the combustor based on the permutation entropy. The method further includes comparing the plurality of pattern categories to determined permutations of pattern categories if the anomaly is present in the combustor, and predicting a category of the anomaly based on the comparison of the plurality of pattern categories to the determined permutations of pattern categories.

Abstract: This disclosure relates to systems, media, and methods for providing near-instantaneous feedback from real-time motion sensor data. In an embodiment, the system may perform operations including loading at least one target motion trigger. Disclosed embodiments may receive real-time sensor data from the first motion sensor detachably fixed to a user. Additionally, disclosed embodiments may include calculating a motion profile based on the real-time sensor data, the motion profile describing a multi-dimensional representation of acceleration of a motion performed by the user. Disclosed embodiments may also include comparing the at least one target motion trigger to the calculated motion profile to determine if the motion performed by the user corresponds to the target motion. Further, disclose embodiments may include transmitting, based on the comparison, an instruction to provide an alert to a user.

Abstract: There is provided a sensor device that can easily reduce an accumulated error in a sensor, the sensor device including: a first inertial sensor; a first information code formed to be capable of being imaged from an outside; and a first imaging unit capable of imaging a second information code formed on another sensor device.

Abstract: A residential energy efficiency rating system that may incorporate one or more sensors situated at one or more residential properties, an aggregation and sending device connected to the one or more sensors, a central data receiver and processor connected to the aggregation and sending device, a historical device data storage connected to the central data receiver and processor, and a residential energy efficiency rating calculator connected to the historical device data storage.

Abstract: The present invention provides methods and systems to estimate energy losses due to shading in PV systems from data including the measured energy and power produced over the lifetime of the system, the system size and configuration data, the weather conditions (including irradiance, ambient & panel temperature, and wind conditions) over the lifetime of the system, and derived meteorological condition information (e.g., decomposed irradiance values at any time).

Abstract: The present invention provides methods and systems to estimate energy losses due to soiling in photovoltaic (PV) systems from data including the measured energy and power produced over the lifetime of the system, the system size and configuration data, the weather conditions (including irradiance, precipitation, ambient and panel temperature, and wind conditions) over the lifetime of the system, and derived meteorological condition information (e.g., the history of clear-sky conditions at the location of the site).

Abstract: A base unit includes a sensor calibration function. When a user communicatively couples a consumer electronic device having a sensor to the base unit, a controller at the base unit retrieves a calibration reference value for the sensor and/or a sensor algorithm that utilizes data output by the sensor. The base unit then sends the calibration reference value to the consumer electronic device to set a sensor calibration parameter associated with the sensor and/or the sensor algorithm.

Abstract: In one embodiment, a method of discriminating defects is provided. The method can include receiving data characterizing a first portion of a magnetic field, a second portion of the magnetic field, and a speed associated with a second sensor that acquired the second portion of the magnetic field. The method can also include discriminating, using the received data, a defect in a pipe as one of internal and external. The method can further include providing data characterizing the defect as one of internal and external.

Abstract: Disclosed is a method for detecting a fault in an electric motor of a power-assisted steering system of an automobile vehicle. The method notably includes a step for: determination of a residual direct sinusoidal voltage and of a residual quadrature sinusoidal voltage based on the measured direct sinusoidal current, on the estimated direct sinusoidal current, on the measured quadrature sinusoidal current and on the estimated quadrature sinusoidal current; and detection of a fault when the difference between the value of the residual direct sinusoidal voltage and its moving average is greater than a first threshold and/or when the difference between the value of the quadrature sinusoidal voltage and its moving average is greater than a second threshold.