Abstract: Techniques for performing multi-sensor calibration on a vehicle are described. A method includes obtaining, from each of at least two sensors located on a vehicle, sensor data item of a road comprising a lane marker, extracting, from each sensor data item, a location information of the lane marker, and calculating extrinsic parameters of the at least two sensors based on determining a difference between the location information of the lane marker from each sensor data item and a previously stored location information of the lane marker.

Abstract: Techniques to facilitate synchronization of industrial assets in an industrial automation environment are disclosed herein. In at least one implementation, a computing system receives time-series industrial process data associated with a plurality of process subsystems of an industrial automation process. The time-series industrial process data is fed into a machine learning model associated with the industrial automation process to dynamically generate a process duration prediction for a first one of the process subsystems and responsively determine an updated set point for a second one of the process subsystems based on the process duration prediction for the first one of the process subsystems. The updated set point for the second one of the process subsystems is provided to an industrial controller associated with the second one of the process subsystems.

Abstract: The embodiments of the present disclosure provide methods and systems for natural gas data computation outside a gas IoT based on energy measuring, including establishing the gas IoT. The object platform obtains consumed gas volume data and location data of the smart gas meter as first data and second data, and sending them to the management platform through the sensor network platform. The management platform generates consumed gas preprocessing data based on the first data and the second data, and generates energy measurement data after performing the computation outside the gas IoT on the consumed gas preprocessing data by the cloud platform outside the gas IoT. The management platform sends the energy measurement data to the user platform configured in a regional pipeline network center through the service platform. The user platform performs gas energy measurement of the smart gas meter based on the energy measurement data.

Abstract: A computer-implemented method may include obtaining seismic data acquired in a time-domain for a subterranean region of interest. The method may further include obtaining a property model for the subterranean region of interest. The method may further include determining one or more time shifts using a segment dynamic image warping function based on the seismic data and the property model. The method may further include determining an adjoint source operator using the derived time shift and one-way wave equation. The method may further include updating the property model using a gradient solver in a data-domain reflection traveltime inversion. The method may further include outputting the updated property model for the subterranean region of interest. The method may further include generating a seismic image for the subterranean region of interest using the updated property model.

Abstract: There is provided a method of energising a solenoid of a valve assembly, comprising the steps of applying a positive over boost voltage to the solenoid to actuate a moveable plunger to open or close a flow path through the valve assembly, and then applying a negative braking voltage to brake the movement of the plunger during movement of the moveable plunger. There is also provided a method of energising a solenoid of a valve assembly, the method comprising the steps of receiving a demand signal to actuate the valve, applying a wait time after receipt of the demand signal, applying a positive over boost voltage across the solenoid to actuate a moveable plunger to open or close a flow path through the valve assembly, monitoring the solenoid closure time, and adjusting one or more input variables in order to control the solenoid closure time.

Abstract: Devices, systems, and techniques relating to steam trap monitoring are described. These include battery-less steam trap monitors that run on power harvested from their environments, systems for acquiring steam trap monitor data for the traps in a facility or across multiple facilities, and techniques for processing steam trap monitor data to reliably determine the status of individual steam traps and potentially other system parameters.

Abstract: Systems and methods are described for reducing lab-to-lab and/or instrument-to-instrument variability of Multi-Attribute Methods (MAM) analyses via run-time signal intensity calibration. In various aspects, multiple MAM-based instruments each have detectors and different instrument conditions defined by different instrument models or sets of settings. Each MAM-based instrument receives respective samples and a reference standard as a calibrant. Each MAM-based instrument detects, via its detector, sample isoforms of its respective sample and reference standard isoforms of the reference standard. The MAM-based instruments are associated with processor(s) that determine, via respective MAM iterations, correction factors and sample abundance values corresponding to the sample isoforms. The correction factors are based on the reference standard, and the sample abundance values are based on the correction factors.

Abstract: A method for processing an audio signal in accordance with a room impulse response is described. The audio signal is separately processed with an early part and a late reverberation of the room impulse response, and the processed early part of the audio signal and the reverberated signal are combined. A transition from the early part to the late reverberation in the room impulse response is reached when a correlation measure reaches a threshold, the threshold being set dependent on the correlation measure for a selected one of the early reflections in the early part of the room impulse response.

Abstract: A collection unit (111) collects a plurality of sensor values at a plurality of measurement points from a plurality of sensors provided to the plurality of measurement points, and per measurement point, accumulates environmental information data including a sensor value, in an accumulation unit (180). An interpolation unit (112) finds a sensor value at a virtual point based on one sensor value or more obtained by one sensor or more. A management unit (113) accumulates environmental information data including the sensor value at the virtual point, in the accumulation unit.

Abstract: Systems and techniques for navigation in a GPS-denied environment that do not rely on locations of known points. Instead, the operator can measure distance and/or inclination as well as azimuth to arbitrary points on the visual horizon (or sub-horizon) from their location. These observations can then be compared to precomputed distances and inclinations for corresponding azimuths to the visual horizon of a grid of points based on known surface terrain data. The closest grid point to the observer's location obtained in this way can be refined using a model of the surrounding environment, allowing for the operators position to be quickly and accurately determined.

Abstract: A control apparatus includes: a management unit that updates internal state values for each control period with a state value generated in a subject to be controlled; a feature quantity extraction unit that calculates a feature quantity from a change of a second internal state value for each unit section determined according to a value of a first internal state value; and an abnormality detection unit that generates detection results indicating whether any abnormality has occurred in a subject to be monitored included in the subject to be controlled, on the basis of the feature quantity. The feature quantity extraction unit and the abnormality detection unit output the values of the first internal state value used to determine the unit section, in correspondence with the corresponding unit section.

Abstract: Described herein is environmental sensors, sensor units, sensor systems and/or sensing methods. In particular, an agricultural or horticultural environment multi-sensor unit comprising a plurality of environmental sensors, including at least: an incident light sensor, a temperature sensor, a carbon dioxide sensor and a relative humidity sensor. The sensor unit may also comprise a wireless communication interface, the multi-sensor unit being configured to transmit data from the environmental sensors via the wireless communications interface.

Abstract: An experimental system for out-of-plane seismic performance of a masonry block wall, comprising: a static test bed (1), a lateral limiting system disposed on one side on the static test bed (1), and a transverse load system disposed on the other side on the static test bed (1), a masonry block wall to be tested (401) being disposed between the lateral limiting system and the transverse load system. The experimental system also comprises a vertical load system disposed above a wall.

Abstract: A method is described for inverting seismic data including obtaining well logs representative of subsurface volumes of interest; generating an amplitude variation with angle (AVA) database from the well logs by seismic modeling, wherein the seismic modeling is performed a plurality of times for all combinations of fluid substitutions of brine, oil, and gas and low porosity, mid-porosity, and high porosity; generating a trained AVA model using the AVA database; obtaining a seismic dataset; calibrating the seismic dataset; computing seismic attributes for the calibrated seismic dataset using statistics for AVA classification; and generating direct hydrocarbon indicators as a function of position in the subsurface volume of interest by applying the trained AVA model to the seismic attributes. The method is executed by a computer system.

Abstract: A machine tool includes: a display; a tool configured to machine a workpiece; a spindle configured to rotate the tool or the workpiece; a sensor configured to detect a vibration frequency of the spindle or the tool; and a processor configured to control the machine tool. The processor is configured to: detect a chatter vibration in the spindle or the tool based on the vibration frequency; based on a frequency of the chatter vibration, a rotation speed of the spindle, and the number of cutting edges of the tool, calculate an order corresponding to the number of vibrations of the tool during a period of time until a current rotation angle of a first cutting edge of the tool reaches a current rotation angle of a second cutting edge of the tool; and present order information on the display, the order information indicating a magnitude of the calculated order.

Abstract: Disclosed are a method and apparatus for estimating S-wave velocities by learning well logs, whereby the method includes a model formation step of forming an S-wave estimation model to output S-wave velocities corresponding to measured depth when the well logs are input based on train data sets including train data having values of multiple factors included in the well logs, the values being arranged corresponding to measured depth, and label data having S-wave velocities corresponding to measured depth as answers, and an S-wave velocity estimation step of inputting unseen data having values of multiple factors included in well logs acquired from a well at which S-wave velocities are to be estimated, the values being arranged corresponding to measured depth, to the S-wave estimation model to estimate S-wave velocities corresponding to measured depth.

Abstract: A method, system, and computer program product is provided for tracking the shape of a surface. The method includes generating a first plurality of surface models based on the surface, each surface model associated with surface parameter values and representing a different shape, determining an estimated position of the plurality of RF transponders on each surface model of the first plurality of surface models, communicating at least one activation signal to the plurality of RF transponders arranged on the surface, the surface comprising an unknown shape, receiving a plurality of response signals from at least a subset of the plurality of RF transponders, determining radio environment parameters for each surface model of the first plurality of surface models, and determining at least one selected surface model of the first plurality of surface models.

Abstract: A circuit includes a first communication interface configured to receive first sensor data from a stationary sensor. The first sensor data include a result of a first sensing of a local environment of the stationary sensor performed by the stationary sensor. The circuit may further include a second communication interface configured to receive second sensor data from an unmanned aerial vehicle. The second sensor data include a result of a second sensing of at least a portion of the local environment of the stationary sensor performed by a sensor of the unmanned aerial vehicle. The circuit may further include one or a plurality of processors configured to compare the first sensor data and the second sensor data and to classify the at least one stationary sensor based on a result of the comparison.

Abstract: Embodiments of the present disclosure generally relate to apparatus and methods for semiconductor processing, more particularly, to a system and method for monitoring a rotation-lift assembly of a process chamber. The rotation-lift assembly outputs a torque feedback signal which is processed by a controller to determine if the rotation-lift assembly has a fault or is near failure. The controller determines torque data from the torque feedback signal, compares the torque data to preexisting torque data, and, based on the comparison, issue a notice of a state of the rotation-lift assembly.

Abstract: An apparatus comprising a processor and memory including computer program code, the memory and computer program code configured to, with the processor, enable the apparatus at least to: generate, in respect of a road intersection, grouped probe data using probe data derived from probed vehicular movements through the road intersection, wherein the grouped probe data is generated by grouping together probe data comprising vehicle trajectories which have respective common heading angles at points of entry to and exit from the road intersection; and provide the grouped probe data for use in lane-level mapping of the road intersection.