Abstract: Systems and methods for determining an estimated weight of a vehicle are provided. The system includes at least one data storage and at least one processor. The at least one data storage is configured to store vehicle data associated with the vehicle. The at least one processor is configured to: identify a plurality of vehicle maneuvers based on the vehicle data, each vehicle maneuver being associated with a portion of the vehicle data, each portion of the vehicle data comprising a measured torque profile; generate a plurality of simulated torque profiles for each vehicle maneuver; generate a plurality of error profiles, an error profile being generated for each vehicle maneuver based on differences between the plurality of simulated torque profiles and the measured torque profile corresponding to that vehicle maneuver; and determine the estimated weight of the vehicle based on the plurality of error profiles.

Abstract: A method comprises drilling a borehole and capturing data during drilling of the borehole, wherein the data comprises at least one value of at least one operational parameter of the drilling. A specific energy formula is modified and used to determine at least one of an efficiency and a quality of drilling of a borehole. Modifying the specific energy formula is based on data captured during drilling of the borehole. The specific energy formula comprises at least one of a mechanical specific energy formula and a hydromechanical specific energy formula. An adjusted specific energy value for the drilling is calculated based on the modified specific energy formula. At least one of the efficiency and the quality of the drilling of the borehole is determined based on the adjusted specific energy value. Also disclosed is a system comprising a machine-readable medium having program code executing the method.

Abstract: Heights of components or parts thereof are measured within a printing machine by measuring their relative rather than absolute heights. A virtual surface may be constructed from the measured heights, with a tolerance level employed based on the virtual surface. The invention is particularly suited to measurement of tooling components within a printing machine, such as tooling pins.

Abstract: A system for scanning a client's hair color and dispensing hair coloring to change the clients hair color from an initial color to a target color is disclosed. The system comprises an input for reading the measured color from the scanning device, a processor configured to compare the measured color to a desired target hair color and develop a coloring protocol for changing the clients current hair color to the desired target color, and a dispenser for dispensing one or more formulations that follow the protocol.

Abstract: Systems, methods and apparatus are provided for soil testing. In some embodiments, a soil sample quality criterion is determined and associated with the soil sample. In some embodiments a soil characteristic measurement is additionally taken and associated with the soil sample. In some embodiments, the soil sample and its associated data are associated with a container in which the soil sample is placed.

Abstract: A system and method for predicting electrical arcs in an electrical circuit is provided. A time series data of the electrical circuit is received by a prediction system which is configured to detect an electrical signature indicating an upcoming electrical arc. The prediction system constructs Hankel matrix using the time series data which is decomposed using SVD to obtain a singular vector in which delay coordinate embedding is performed to generate reconstructed singular vector which includes plurality of eigen time delay coordinates. Further, threshold coefficient ‘r’ is calculated from the reconstructed singular vector. A first set of eigen time delay coordinates is identified in the reconstructed singular vector based on ‘r’ which are rth eigen time delay coordinates. A rate of change in magnitude of rth eigen time delay coordinates is calculated to detect the electrical signature based on which the upcoming electrical arc is predicted.

Abstract: A phase gradient calculation unit calculates a phase gradient on a plane intersecting an irradiation direction of light corresponding to an optical coherence tomography signal indicating a state of a sample for each of sample points arranged on the plane. A bulk phase error calculation unit integrates, for each of plurality of paths from an origin that is a sample point where a bulk phase error is determined to a destination that is a sample point where the bulk phase error is not determined, the phase gradient for each of the sample points along each of the plurality of corresponding paths to calculate a path specific phase error at the destination, and combines the path specific phase errors among the plurality of corresponding paths to determine the bulk phase error at the destination.

Abstract: A method of calculating a soil moisture profile includes obtaining a capacitance measurement of a soil surface at a location, applying a preselected calibration to the capacitance measurement to obtain a top surface moisture estimate, obtaining local climatic and hydrological data correlated with the location, the local climatic and hydrological data, which includes at least local water input data, and calculating an estimate of the soil moisture at the location by applying a preselected evapotranspiration model to the top surface moisture estimate and the local climatic and hydrological data.

Abstract: A method includes receiving a seismic survey that includes a plurality of seismic slices. The method also includes converting the seismic slices into an embedding. The embedding includes one or more vectors. Each of the vectors includes more than 3 dimensions. The method also includes generating a plot based at least partially upon the embedding.

Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing health-related predictive data analysis. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform health-related predictive data analysis by generating an optimal predictor set for a gene regulatory network using a quantum logic circuit that comprises one or more quantum logic subcircuits for each quantum processing unit that is associated with a quantum subcircuit and is configured to perform a conjunctive phase logic operation performed on each ancilla bit of a quantum subcircuit.

Abstract: A method of improving performance of an averager is provided. The method includes steps of: (a) multiplying a value of a (n?1)th piece of output data by a value “N” to calculate a temporary value; (b) determining whether or not a difference between an nth piece of input data and the (n?1)th piece of output data is larger than or smaller than a zero value, if yes, compensating the temporary value to obtain a correction value and performing step (c), if no, setting the correction value and performing step (c); (c) dividing the correction value by the value “N” to obtain a first value; (d) subtracting the first value from the correction value and adding up the correction value and the nth piece of input data to obtain a second value; and (e) dividing the second value by the value “N” to calculate an output value of the averager.

Abstract: A method for predicting a lifespan of a battery cell of the present invention includes: virtually dividing a capacity of a battery cell, which is a measurement object for lifespan prediction, into two or more capacity parts, and measuring charge and discharge cycle data for each of the capacity parts; correcting the charge and discharge cycle data by reflecting storage degeneration a positive electrode active material; and predicting a lifespan of the battery cell, based on the corrected charge and discharge cycle data.

Abstract: A system includes sensors for monitoring signals, and a processing system executes one or more methods for identification of system events, from the signals, corresponding to state changes and performance of the system and/or its subcomponents. Event identification is performed with classification and/or other machine learning algorithms, with generation of novel training data sets. The sensor(s) can also be used to determine power consumption information about the system and/or its subcomponents. The system processes event-associated outputs for execution of actions for improving system performance, along with other downstream applications.

Abstract: There is provided a method and a system configured to obtain metrology data Dmetrology informative of a plurality of structural parameters of a semiconductor specimen, obtain a model informative of a relationship between at least some of said structural parameters and one or more electrical properties of the specimen, use the model and Dmetrology to determine, for at least one given electrical property of the specimen, one or more given structural parameters among the plurality of structural parameters, which affect the given electrical property according to an impact criterion, and generate a recipe for an examination tool, wherein the recipe enables a ratio between a first acquisition rate of data informative of the one or more given structural parameters, and a second acquisition rate of data informative of other structural parameters of the plurality of structural parameters, to meet a criterion.

Abstract: The invention relates to a method for estimating the state of an energy store comprising at least one electrochemical battery cell (12, 14, 16, 18, 20, 22, 24, 26, 28) using a battery management system (BMS) which comprises an impedance spectroscopy chip, having at least the following steps: a) determining the frequency-dependent impedance of the at least one electrochemical battery cell (12, 14, 16, 18, 20, 22, 24, 26, 28) using a data set recording taken in real-time, b) training an artificial neural network (60) with temperature-based training spectra as the input and a specification for temperature values belonging to each training spectrum as the output, c) taking into consideration a battery cell-to-battery cell variance (30) between the electrochemical battery cells (12, 14, 16, 18, 20, 22, 24, 26, 28) when testing the artificial neural network (60) using weighting functions ascertained during step b) and test spectra and estimating the temperature values belonging to the test spectra according to the

Abstract: Examples described herein relate to a system and method for managing the security of an edge enclosure. The edge enclosure is deployed in a mobile environment and travels between a base location and a task location to perform a task. The task is defined and configured at a chassis manager by a management device. A server in the edge enclosure processes data associated with the task. The chassis manager detects a loss of communication between the chassis manager and the management device. The chassis manager performs a security action based on task status. The task status is either ongoing or completed. The security action performed at the edge enclosure protects the data present in the server from tampering. The management device transmits alerts to the customers of the edge enclosure after the task is completed.

Abstract: A state value for a rechargeable battery, for example a lithium-ion battery, is determined on the basis of several aging characteristic variables. The aging characteristic variables comprise at least one current aging value and one future aging value.

Abstract: The present disclosure provides a battery watchdog system for monitoring and managing batteries during short or extended storage and transit while ensuring low drain on a client battery being monitored. The battery watchdog system periodically powers the battery management system (BMS) of the client battery to retrieve battery information. The battery watchdog system can also collect battery information from other sensors (e.g., motion, ambient temperature, humidity, current, voltage, data integrity, and global positioning). The system can integrate data from the client battery and its own sensors to exploit algorithms and assess the battery's state, ambient conditions, potential hazards, and adherence to specific storage or transportation conditions. Further, the battery watchdog system can come equipped with onboard visual and audible indicators. And, in case of hazardous conditions, the system can autonomously activate its indicators to alert personnel.

Abstract: Disclosed is a grouting and water blocking method for a hard rock stratum. The grouting and water blocking method include the following steps. At first, hydrogeological information and coal seam information of a hard rock stratum is obtained. Then, a drilling trajectory of the hard rock stratum is determined based on the hydrogeological information and the coal seam information. Later, at least one drilling device is determined corresponding to the drilling trajectory based on types of multiple rock layers contained in the hard rock stratum. After that, the multiple rock layers contained in the hard rock stratum are drilled sequentially according to the drilling trajectory using the at least one drilling device. At last, in response to determining there is a water leakage area, the water leakage area is grouted.

Abstract: Techniques are disclosed relating to machine learning in the context of noise filters for sensor data, e.g., as produced by geophysical surveys. In some embodiments, one or more filters are applied to sensor data, such a harsh filter determined to cause a threshold level of distortion in measured reflections, a mild filter determined to leave a threshold level of remaining noise signals, or an acceptable filter. In some embodiments, the system trains a machine learning classifier based on outputs of the filtering procedures and uses the classifier to determine whether other filtered sensor data from the same survey exhibits acceptable filtering. This may improve accuracy or performance in detecting unacceptable filtering, in some embodiments.