Abstract: An aero-engine fault diagnosis method based on 5G edge computing and deep learning is provided. The method includes following steps: performing data acquisition, preprocessing, and storage based on a new 5th Generation Mobile Communication Technology (5G) cloud-edge-terminal network architecture; constructing a machine learning module in an edge cloud, where historical data stored in the aero-engine fault database management system is used as training samples of the machine learning module; and performing intelligent self-management of the aero-engine gear fault simulation platform and the aero-engine fault database management system.

Abstract: Hitherto, preprocessing for separating impurities and calculation processing, for example, a peak splitting method, are required in order to acquire information on test substances from spectral information. An information processing apparatus according to the present invention includes information acquisition means for acquiring quantitative information on a test substance estimated by inputting spectral information on a sample containing the test substance and impurities into a learning model.

Abstract: The method may comprise receiving historical data (e.g., mineralogy data, irrigation data, raffinate data, heat data, lift height data, geographic data on ore placement and/or blower data); training a predictive model using the historical data to create a trained predictive model; adding future assumption data to the trained predictive model; running the forecast engine for a plurality of parameters to obtain forecast data for a mining production target; comparing the forecast data for the mining production target to the actual data for the mining production target; determining deviations between the forecast data and the actual data, based on the comparing; and changing each of the plurality of parameters from the forecast data to the actual data to determine a contribution to the deviations for each of the plurality of parameters.

Abstract: A fully self-contained portable location tracking device autonomously compares a current location with a latitude-longitude map stored in memory. The latitude-longitude map stores guidance zone values indicative of a predetermined safe zone, progressive alert zones, and a predetermined reference point. The guidance zone values represent actions to be taken based upon current location. When initiated by some combination of current location or zone value, location history, and time, or when otherwise queried, the tracking device transmits the offset from reference location, rather than actual current location data, to at least one wireless communications monitoring apparatus. The monitoring apparatus also stores a copy of the latitude-longitude map and reference point. Using the received offset, the monitoring apparatus knows both the location of the location tracking device and the actions to be taken based upon current location.

Abstract: Methods may comprise: identifying a fault indicator associated with a physical system; collecting first data related to a state of the physical system; applying a surrogate model to the first data to produce a plurality of potential fault modes; applying an optimization algorithm to the plurality of potential fault modes using a similarity metric to produce an input and a plurality of outputs, wherein each of the plurality of outputs corresponds to one of the plurality of potential fault modes, wherein the input provides differentiation between each of the plurality of outputs; applying the input to the physical system; collecting second data from physical system in response to applying the input; identifying a true mode of the physical system based on a comparison of the second data and the plurality of outputs; and diagnosing a fault of the physical system based on the true mode.

Abstract: A system for providing a visual summary of a condition of a patient when traumatic brain injury (TBI) is suspected or diagnosed includes at least one patient condition sensor configured to sense data representative of a patient condition parameter of interest for a TBI patient; at least one airflow sensor configured to sense data representative of ventilations provided to the patient; at least one visual display for providing the visual summary to a user; and at least one controller. The at least one controller is configured to cause the visual display to provide the visual summary. The visual summary can include at least one visual representation of at least one patient condition parameter for each time interval of a plurality of time intervals, at least one visual representation of ventilation information, and a visual indication of when at least one patient condition parameter is outside of a target range.

Abstract: A computational method for training a neural network force field (NNFF) configured to simulate molecular and/or atomic motion within a material system. The method includes the step of receiving molecular structure data of a molecule in the material system. The method also includes optimizing a geometry of the molecule using the molecular structure data and a density functional theory (DFT) simulation to obtain DFT optimized geometry data. The method further includes optimizing the geometry of the molecule using the molecular structure data and a classical force field (FF) simulation to obtain FF optimized geometry data. The method also includes outputting NNFF training data comprised of the DFT optimized geometry data and the FF optimized geometry data. The NNFF training data is configured to train an NNFF for simulating molecular and/or atomic molecular and/or atomic motion within the material system.

Abstract: A method for detecting an accretion of ice on a rotor blade of a rotor of a wind turbine is provided. The can be operated at a variable rotational speed. The method includes recording a wind speed of a wind acting upon the rotor, recording an operating variable that is dependent on the wind speed and comparing the recorded operating variable or the recorded wind speed with a reference variable of a characteristic wind-speed-dependent operating-variable curve of the wind turbine. The characteristic operating-variable curve indicates an operating variable assumed to be optimal in dependence on the wind speed. The method includes detecting an accretion of ice on the rotor blade if the recorded operating variable or the recorded wind speed, deviates from the reference variable by at least a predetermined minimum deviation specified in dependence on the wind speed.

Abstract: A diagnostic device for a sensor for measuring the position of a motor-vehicle drive shaft. The sensor includes a first wired communication link and a second wired communication link, via which wired communication links the sensor sends the signal, and being characterized by an average reference voltage. The diagnostic device for a sensor being intended to be electrically connected between the first wired communication link and the second wired communication link and being configured to: a) receive a first voltage value corresponding to the average voltage in the first wired communication link and a second voltage value corresponding to the average voltage in the second wired communication link; b) detect a short circuit on the first wired communication link; or c) detect a short circuit on the second wired communication link.

Abstract: A thermal regulation system includes an inertial measurement unit (IMU), one or more temperature adjusting devices in thermal communication with the IMU, and configured to adjust a temperature of the IMU from an initial temperature to a predetermined temperature, a filler provided in a space between the IMU and at least one temperature adjusting device of the one or more temperature adjusting devices, and a shared substrate configured to bear a weight of the IMU and the one or more temperature adjusting devices. The shared substrate includes a metallic board.

Abstract: The invention relates to a weight and reference quaternion correction unscented quaternion estimation method, comprising: obtaining measurement data as quantity measurement through a gyro and a star sensor; establishing a quaternion-based discrete spacecraft nonlinear state space model; estimating an error quaternion, a gyro drift and a corresponding error covariance at a k moment by using an unscented quaternion estimator based on parameter and reference quaternion correction at a k?1 moment; and setting a filtering time as Ntime, if k<Ntime, then repeating the step 3, if k=Ntime, then finishing filtering, and outputting the attitude quaternion, the gyro drift and the corresponding error covariance.

Abstract: There are included a normal model building unit that builds a normal model of another device on the basis of normal data of the other device; a degradation determination model building unit that builds a degradation determination model of the other device on the basis of the normal data and degradation data of the other device; a normal model rebuilding unit that builds a normal model of a target device on the basis of the normal model of the other device and normal data of the target device; a degradation determination model rebuilding unit that builds a degradation determination model of the target device on the basis of the degradation determination model of the other device and the normal model of the target device; and a degradation determining unit that determines degradation of the target device on the basis of operation data of the target device and the degradation determination model of the target device.

Abstract: According to some embodiments, systems and methods are provided, comprising an Application Programming Interface (API) source; a cluster including a master node and at least one worker node; a memory storing processor-executable program code; and a processing unit to execute the processor-executable program code to cause the system to: receive, at the cluster, an API from the API source; receive, at the cluster, a customer usage value for the received API; determine a load test injection pattern for the received API based on the customer usage value; schedule execution of a load test for the received API based on the determined load test injection pattern; and execute the load test on the at least one worker node. Numerous other aspects are provided.

Abstract: A method and system for vacuum chamber integrity verification after chamber maintenance or venting. The method includes a computing system causing a measurement cycle that includes causing a pump to pump down pressure of the vacuum chamber for a set duration of time or to a target pressure; causing an isolation valve to isolate the vacuum chamber; receiving sensor data from an optical emission sensor; and analyzing the sensor data to determine whether the sensor data satisfies one or more sensor data criteria. The method further includes, the computing system, causing one or more repetitions of the measurement cycle until the sensor data meets the one or more sensor data criteria. The method further includes analyzing the sensor data that meets the sensor data criteria to determine at least one of vacuum chamber leak rate or vacuum chamber moisture content. The system includes the vacuum chamber, pump, isolation valve, optical emission sensor, and computing system.

Abstract: A farming machine is configured to identify and treat plants in a field. The farming machine includes one or more light sensors for measuring a characteristic of light. The one or more light sensors are coupled to the farming machine and are directed a substantially upwards orientation away from the plants. A control system adjusts settings of an image acquisition system based on a characteristic of light measured by the one or more light sensors. The image acquisition system captures an image of a plant using one or more image sensors coupled to the farming machine, the one or more image sensors directed in a substantially downwards orientation towards the plants. The control system identifies a plant in the image and actuates a treatment mechanism to treat the identified plant.

Abstract: The method may comprise receiving historical data (e.g., mineralogy data, irrigation data, raffinate data, heat data, lift height data, geographic data on ore placement and/or blower data); training a predictive model using the historical data to create a trained predictive model; adding future assumption data to the trained predictive model; running the forecast engine for a plurality of parameters to obtain forecast data for a mining production target; comparing the forecast data for the mining production target to the actual data for the mining production target; determining deviations between the forecast data and the actual data, based on the comparing; and changing each of the plurality of parameters from the forecast data to the actual data to determine a contribution to the deviations for each of the plurality of parameters.

Abstract: The EMERGENCY RESPONSE MANAGEMENT APPARATUSES, METHODS AND SYSTEMS (“ERMS”) transform emergency related inputs and sensor information into a threat indication category, which is distributed to individuals and/or first responders for managing the threat. In one implementation, the method includes an emergency management processor-implemented method that receives sensor readings from one or more sensor devices and generates risk factors for the at least one sensor device. The generated risk factors are then curve fitted to a plurality of statistical distribution curves including both non-extreme and extreme statistical distributions, wherein each of the statistical distribution curves is indicative of a threat category. The threat category is then determined based on the generated risk factors that provide a best fit with one of the plurality of statistical distribution curves.

Abstract: The present disclosure relates to a method and system for evaluating a grid condition of an AC power grid. A time series of voltage and current signals of the AC power grid is captured and a local frequency of the AC power grid is identified. The time series of the voltage and current signals is transformed at the identified local frequency of the AC power grid into transformed signals. Equivalent circuit parameters are estimated from the transformed signals based on a description of an equivalent circuit of the AC power grid. A value of a grid condition indicator is determined based on the calculated equivalent circuit parameters and the identified local frequency of the AC power grid and processed in a grid monitoring system for evaluating the grid condition of the AC power grid.

Abstract: A method of analysing seismic data from a geological structure. The method includes determining a set of tiles from a data cube of seismic data and determining which tiles of the set of tiles can be grouped into one or more patches of tiles.

Abstract: A power tool including a motor configured to rotatably drive an output shaft, a variable motor speed control input, a motor speed limit input, and a motor controller. The motor controller includes an electronic processor and a memory configured to store instructions. When executed by the motor controller, the instructions configure the motor controller to detect a motor speed limit from a setting of the motor speed limit input, and detect a variable speed control setting from the variable motor speed control input. The motor controller generates a motor speed control signal for driving the motor based on the detected motor speed limit and the detected variable motor speed control setting, and transmits the motor speed control signal to a motor driver circuit configured to drive the motor at a speed based on the motor speed control signal.