Abstract: Systems and methods are provided for sensing impacts applied to an article during a production and transportation process. The systems and methods can include a plurality of impact sensors fixed to the article and a processor coupled to the plurality of impact sensors. Each impact sensor can be fixed to the article at a corresponding sensor location and the plurality of impact sensors can be configured to generate a plurality of impact measurements in response to an impact applied to the article. The processor can be configured to: receive the plurality of impact measurements from the plurality of impact sensors; determine, from the plurality of impact measurements, that an impact condition is satisfied; determine an impact location based on the plurality of impact measurements and the corresponding sensor locations; and determine an overall impact magnitude based on the impact location and the plurality of impact measurements.

Abstract: A method of simulating a process of a geological structure includes obtaining a first digital model including structural data representing a geological structure. The method also includes selecting at least one marching technique based in part on a grid dimension and a grid cell shape of a grid on the first digital model. The method further includes applying the at least one marching technique to at least a portion of the structural data of the first digital model to identify at least some boundary data. The method further includes populating a second digital model based in part on the first digital model, a property, and the boundary data. The method further includes simulating a process of the geological structure using the second digital model.

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: The present invention relates to an apparatus and a method for determining a scaling factor for a strain measurement in a machine element, comprising steps for measuring a strain in a measurement surface portion by means of a strain measuring device; for measuring a displacement of a detection surface portion of the machine element by an optical scanning; for determining a displacement field on a surface of the machine element on the basis of a model of the machine element and the measured displacement of the at least one detection surface portion; for determining a strain field on the surface of the machine element on the basis of the determined displacement field and the model of the machine element; and for determining a scaling factor of the strain measuring device on the basis of the determined strain field and the measured strain in the measurement surface portion.

Abstract: An apparatus and method to be used for the automated selection, inspection, analysis, and disposition of tools that are installed on milling drums used by an asphalt milling machine to remove a layer of asphalt from a road surface that is being resurfaced is disclosed. Asphalt milling machines are also known as cold planer, pavement planer, pavement recycler, or roto-mill machines. The disclosed apparatus and method comprises a robot, one or more 3-dimensional scanners, one or more digital 2-dimensional cameras, and a controller. A work surface is provided for where the robot may select a tool to be inspected, place the tool on a rotating pedestal, inspect the tool while rotating the tool to capture all aspects of the tool, perform an analysis on the images captured, and depending on the analysis, classify the tool as reusable, degraded, or scrap.

Abstract: Method and processor for time-domain processing of a waveform signal are disclosed. The method includes filtering, by employing one or more cut-off frequency values, the waveform signal for generating the first portion and the second portion, acquiring a frequency shift value, generating a modulated signal having a first frequency portion and a second frequency portion and where the one or more cut-off frequency values have been determined for ensuring that the first frequency portion and the second frequency portion are non-overlapping portions of the modulated signal, and generating the modified signal using the first frequency portion.

Abstract: A method of harmonizing a first inertial measurement unit and a second inertial measurement unit with each other includes the steps of: causing a control unit to compare the vectors measured by the inertial measurement units in order to determine a specific force difference and a rotation difference while taking account of the lever arms between the two measurement units; and causing the control unit to determine a harmonization value from the specific force difference and the rotation difference while taking account of the lever arms between the two measurement units. Navigation apparatus performs the method.

Abstract: A method for associating environmental data with map features is described. The method includes receiving sensor data and receiving position data. The sensor data is associated with each of a plurality of time intervals and is from at least one sensor on at least one mobile sensor platform. The position data is associated with the plurality of time intervals and is from the at least one mobile sensor platform. Trajectories and corrected locations of the mobile sensor platform are generated for the plurality of time intervals using the position data. A position of the mobile sensor platform is assigned to a corresponding map feature for each of the plurality of time intervals based on the trajectories and corrected locations. The sensor data is also processed to generate sensor data values for each of the plurality of time intervals. The sensor data values are assigned to the corresponding map feature of the position of the mobile sensor platform for each of the plurality of time intervals.

Abstract: A system for point cloud data compression including a LiDAR sensor and a compression circuit. The compression circuit receives data for rays from the LiDAR sensor, wherein the data is arranged in cells which map to corresponding rays, and each cell includes a range value. The compression circuit constructs a frame for the received data and, for each cell, determines a velocity associated with the range value for the cell, determines whether to compress the frame with respect to the cell based upon the velocity; and selectively compresses the frame with respect to the cell accordingly. Also disclosed is a system including a device and a server which optionally are co-located. The device gathers data about an environment which is used to generate a point cloud.

Abstract: The stress estimation device acquires the awakening degree of the subject and calculates the feature amount of the acquired awakening degree. The feature amount of the awakening degree is, for example, a ratio at which the temporal change of the awakening degree is within a predetermined range, information defining a histogram showing the distribution of the temporal change of the awakening degree, and the like. Then, the stress estimation device estimates the stress from the calculated feature amount using the stress model.

Abstract: A leak detection apparatus includes a test chamber and a vacuum source connected to the test chamber via a pneumatic line. A first pressure transducer is in communication with the test chamber. A controller is configured to collect and analyze data generated by the first pressure transducer at a predetermined frequency throughout an entire test cycle. The controller is also configured to convert specified collected data to logarithmic scale to accumulate a first set of data and apply a linear regression to the first set of data and determine regression parameters.

Abstract: A method for determining a direction and a distance of a metallogenic pluton of a skarn deposit with a garnet includes: collecting a sample; performing petrographic observation on the sample and designing an experimental area; computing a parameter; building a model; setting a parameter range; optimizing the parameters of the three models through a grid search method, and determining an optimal model and corresponding parameters a?, b and c through repeated circulative iteration and by taking a minimum R as a limit condition; and substituting data of all sampling points into the optimal model, computing D of each sampling point, drawing a circle with a corresponding sampling point as a center and D as the radius, determining an intersection point of all circles as coordinates of the metallogenic pluton, and performing delineation with R as a buffer area of the metallogenic pluton.

Abstract: The present invention provides a multi-wavelength spectral thermometry based on mobile narrow-band window and optimization and belongs to the field of thermal radiation temperature detection. A continuous spectrum of a thermal radiation object is collected by a spectrometer; the spectrum of the thermal radiation object is denoised, windowed and standardized; the whole detection wavelength range is traversed within an appropriate narrow-band window; through comparison with windowed and standardized black-body radiation spectra at different temperatures in a corresponding spectral window, the temperature and emissivity distribution of the thermal radiation object is calculated with high accuracy without depending on emissivity model estimation, and high universality and noise resistance are achieved.

Abstract: Devices, methods and systems for meter setup verification are provided. In one aspect, a device is provided including a communication interface and at least one processor. The communication interface receives a wiring setup configuration of at least one electronic power meter and at least one measured and/or calculated parameter from the at least one electronic power meter. The at least one processor determines if the at least one electronic power meter is wired correctly based on the wiring setup configuration of the at least one electronic power meter and the at least one measured and/or calculated parameter from the at least one electronic power meter. The device may be implemented in a separate client device or in the at least one electronic power meter.

Abstract: Systems and methods of controlling drilling operations including Sliding With Indexing For Toolface (SWIFT) and Variable Weight Drilling (VWD) techniques. The methods and systems may include systems and devices for controlling the drilling operations, including systems and devices capable of automatically determining drilling parameters and setting operating parameters for drilling in a wellbore. The systems and methods may also determine a change in weight on bit and/or toolface, determine a timeframe for a weight on bit to be delivered to the bit, and/or determine a spindle change to modify the toolface. The systems and methods may also send control signals to apply the spindle change and/or block velocity change to correct any detected or anticipated toolface error.

Abstract: A method for determining a water treatment plan for produced water includes receiving sample water analysis for the produced water, and receiving one or more key performance indicators (KPIs) that each indicate a selected treatment result for the produced water. In addition, the method includes providing the sample water analysis and the KPIs to a machine learning model and determining a water treatment plan for the produced water using the machine learning model, wherein the water treatment plan comprises one or more additives for the produced water that are to provide the produced water with the KPIs.

Abstract: A method of evaluating compliance of a component of an aircraft engine with flow requirements has: obtaining experimental data from experimental testing on a prototype of the component; obtaining a digitized model of a production model of the component, the digitized model including digitized apertures having geometrical data corresponding to that of apertures defined in the production model; computing a nominal mass flow rate through the digitized apertures using the geometrical data and flow parameters from the experimental data; correcting the nominal mass flow rate of the digitized model to obtain a computed mass flow rate of the production model; and assigning at least one parameter to the production model, the at least one parameter indicative of installation approval of the production model of the component for installation on the aircraft engine when the computed mass flow rate is determined to be within a prescribed range of the flow requirements.

Abstract: A method for determining a reasonable sampling interval with three-dimensional (3D) laser scanning includes: collecting rock joints; acquiring point cloud data of the rock joints with 3D laser scanning; performing preprocessing on acquired point cloud data; conducting indoor mechanical tests to determine rock mechanics parameters; calculating, with preprocessed point cloud data of the rock joints, joint roughness coefficients (JRCs) under different intervals obtained from statistical roughness parameters; fitting different relational curves according to a scatter plot between the different intervals and the JRCs to obtain a fitting equation; reversely calculating a JRC of the rock joint sample with the rock mechanics parameters to obtain a reversely calculated JRC; and substituting, according to a relational equation between the different intervals and the JRCs, the reversely calculated JRC into the fitting equation to determine a reasonable sampling interval for roughness evaluation.

Abstract: A method for predicting a dissolved oxygen level in treated seawater includes directing raw seawater from a fluid channel into a deaerator, directing an inert gas and an oxygen scavenger solution into the deaerator, thereby removing dissolved oxygen from the raw seawater such that the treated seawater exits the deaerator, receiving information about a plurality of input parameters comprising a raw seawater flow rate, an inert gas flow rate, and an oxygen scavenger flow rate, implementing a neural network trained to predict the dissolved oxygen level of the treated seawater based on the plurality of input parameters and predicting, with the neural network, the dissolved oxygen level of the treated seawater based on the plurality of input parameters.

Abstract: A wireless sensor for an associated machine or machine part which includes a communications module that wirelessly transmits data related to the associated machine or machine part. The communications module is mounted on the sensor and the sensor is disposed under the bottom side of the control circuitry. A sensor is configured to measure one or more properties of the associated machine or machine part.