Abstract: The present disclosure describes methods and systems, including computer-implemented methods, computer program products, and computer systems, for modeling angle domain common image gathers (ADCIG) from reverse time migration (RTM). One computer-implemented method includes calculating seismic source and receiver wavefields based on seismic data, calculating characteristic source and receiver wavefields from the seismic source and receiver wavefields, calculating propagation angles for the characteristic source and receiver wavefields, applying a wavefield decomposition algorithm on the characteristic source and receiver wavefields to obtain corresponding directional source and receiver wavefields, the wavefield decomposition algorithm decomposing wavefield amplitude of a wavefield in an angle interval centered on a propagation angle of the wavefield, and forming ADCIG by applying an image condition to the obtained directional source and receiver wavefields.

Abstract: An apparatus that identifies the type of a test cell based on a result obtained by performing mass spectrometry on the test cell includes a higher-level database, which contains mass lists that each list ion mass values of constituent components of a known cell, and a lower-level database, which contains partial mass lists that each list only strain-specific ion mass values out of the ion mass values. The higher-level database is first searched for a test mass list which is created from the result of the mass spectrometry performed on the test cell, and based on a result of the search, an organism species to be searched in the following search operation is determined. Mass values common to the organism species are subsequently deleted from the mass list for the test cell, and the mass list having undergone the deletion operation is used to search the lower-level database.

Abstract: A failure diagnostic device for performing a failure diagnosis on a multi-axis robot includes a position detector that detects a movement position of each of joint shafts included in the multi-axis robot, a torque detector that detects a disturbance torque applied to the joint shaft, a routine-operation determination circuit that determines whether or not the multi-axis robot is executing a predefined routine operation, from the movement position detected by the position detector, a reference-value calculation circuit that calculates a disturbance-torque reference value from the disturbance torque detected during execution of the routine operation, a torque correction circuit that corrects the disturbance torque detected while the multi-axis robot executes an operation different from the routine operation by using the disturbance-torque reference value, calculated by the reference-value calculation circuit, to thereby acquire a corrected disturbance torque, and a failure diagnostic circuit that performs a fai

Abstract: The purpose of the present invention is to provide an overlay error measuring device which measures an overlay error with high accuracy even when a lower layer pattern is disposed under a thin film and a sufficient signal amount cannot be ensured. The present invention proposes an overlay error measuring device provided with an arithmetic processing unit for measuring a pattern formed on a sample on the basis of a signal waveform obtained by a charged particle beam device. The arithmetic processing unit finds a correlation with the signal waveform using a partial waveform obtained on the basis of partial extraction of the signal waveform, forms a correlation profile indicating the correlation, and measures an overlay error using the correlation profile.

Abstract: A technique includes receiving seismic data indicative of measurements acquired by seismic sensors. The measurements are associated with a measurement noise. The technique includes estimating at least one characteristic of the measurement noise and deghosting the seismic data based at least in part on the estimated characteristic(s) of the measurement noise.

Abstract: A method for detecting a fault in a robot joint includes the steps of: performing a first torque measurement at the robot joint to thereby obtain a first set of torque values; calculating a first distribution characteristic reflecting a distribution of the first set of torque values; performing a second torque measurement at the robot joint to thereby obtain a second set of torque values; calculating a second distribution characteristic reflecting a distribution of the second set of torque values; and comparing the first and the second distribution characteristics to determine whether a fault is present or not. A difference in the distributions of torque measurements is a robust fault indicator that makes use of the repetitive behavior of the system.

Abstract: Systems, and methods for controlling a modular system for improved real-time yield monitoring and sensor fusion of crops in an orchard are disclosed. According to some embodiments of the invention, a modular system for improved real-time yield monitoring and sensor fusion may include a collection vehicle, a modular processing unit, a volume measurement module, a three-dimensional point-cloud scanning module, an inertial navigation system, and a post-processing server. As the collection vehicle travels through an orchard, the volume measurement module calculates volume measurements of the windrow, the three-dimensional point-cloud scanning module assembles point-clouds of each plant in the orchard, and the inertial navigation system calculates geodetic positions of the collection vehicle. The modular processing unit may fuse the collected data together and transmit the fused data set to a post-processing server.

Abstract: A system generates an estimated floor area measurement of a building based on the calculated estimated total roof area of the roof of the building. This is based on a correlation between the size of the building roof and the size of the building. Typically, the floor area of a single full floor of the building is roughly the size of the roof of the building if the roof were flat with no slope. This in effect is turning the roof into a floor to generate estimated floor area. With additional adjustments to area measurements to account for multiple floors, roof overhang, wall width, internal building features such as walls and staircases, and/or obstructed views of the building in the aerial image(s), etc., an even more accurate floor area estimation may be generated.

Abstract: The disclosure discloses a method, apparatus and a computer storage medium for improving performance of a relative position sensor, applied to a measurement apparatus. The measurement apparatus is configured to measure a relative position between a measured object and the measurement apparatus. A relative position sensor and a first auxiliary sensor are disposed on the measurement apparatus. A second auxiliary sensor is disposed on the measured object. The method includes the steps as follows. First measurement data measured by a relative position sensor is acquired, and second measurement data measured by a first auxiliary sensor and a second auxiliary sensor is acquired. An Extended Kalman Filter (EKF) is constructed on the basis of the first measurement data and the second measurement data. The first measurement data is corrected by using the EKF.

Abstract: A measuring device comprises an interface, adapted to acquire a measuring signal, a triggering unit, adapted to determine at least one condition of the measuring signal based on an initial triggering condition, and a storage unit adapted to store data words, comprising changes of the at least one condition of the measuring signal and instances in time at which the changes of the at least one condition occur. Moreover, the measuring device comprises a parameter determination unit, adapted to determine at least one parameter from the data words and a parameter histogram unit, adapted to determine a parameter histogram of the at least one parameter.

Abstract: A system and method for providing multivariate climate change forecasting are provided that obtain, from one or more climate model datasets, simulated historical and future climate model data, and from one or more climate observational datasets, historical observed climate data. A statistical distribution, using a Bayesian model, is provided of extremes or climate indices for one or more variable climate features using the simulated climate model data and the observed climate data. One or more metrics are determined, including a prediction of a future climate variable for a determined future time period, a confidence bound of the prediction of the future climate variable for the determined future time period, and a prediction bound for the future climate variable for the determined future time period. The metrics can be transmitted to a variety of applications in a variety of formats.

Abstract: A method and a system for monitoring an ephemeral event on a vane impeller of an aircraft engine are provided. The method includes: acquiring a time signal relating to movable vanes of the vane impeller; and detecting a disturbance in the time signal with respect to a reference time signal corresponding to a same flight phase, the disturbed time signal being indicative of an ephemeral event on said vane impeller. A system is provided to carry out this method.

Abstract: A method of frequency estimation. A clock output from a frequency synthesizer is received at an input of a ring encoder. The ring encoder generates outputs including a ring encoder output clock and an encoded output which represents LSBs of a clock cycle count of the clock output. A binary counter is run using the ring encoder output clock which provides an output count which represents MSBs of the clock cycle count. Using a reference clock, the encoded output is sampled to provide a sampled encoded output and the output count is sampled to provide a sampled output count. Error correcting is applied to the sampled encoded output to provide a corrected sampled encoded output. The corrected sampled encoded output and sampled output count are combined to provide a combined output which is used for estimating an instantaneous or average frequency of the clock output.

Abstract: A method and a system for calibrating a measuring arrangement on the basis of a 16-term error model determines a matrix (A) with measured scattering parameters (Sm) from different calibration standards (3) and with associated actual scattering parameters (Sa) of the calibration standards (3) and determines linear-in-T system errors (Ti) for the calibration of a network analyzer (1) by solving a linear equation system with the determined matrix (A). To solve the linear equation system, a first and a second linear-in-T system error (k, p) are freely selected in each case. With use of reciprocal calibration standards, the determined linear-in-T system errors are weighted with the freely selected first linear-in-T system error (Ti) or with a correct second linear-in-T system error pkor(k)) dependent upon the first linear-in-T system error (k).

Abstract: A method for evaluating the clogging of the passages of a tube support plate of a tube heat exchanger, in which an eddy current probe is passed through a tube of the exchanger and a measurement signal is measured with the probe to evaluate the clogging at the downstream edge of a tube support plate. A lower (upper, respectively) edge signal corresponding to the probe passing the downstream (upstream, respectively) edge of the tube support plate is determined from the measurement signal. The impulse response of the probe is estimated. The lower edge signal is deconvolved (530) by the impulse response estimation. The clogging is evaluated (533) by analyzing (532) the lower edge signal thus deconvolved.

Abstract: A computer monitoring system may predict near term and long term performance by comparing a segment of current time series data with previously observed time series to find matching segments. From a matching segment, a prediction of performance may be made by examining later observations in the time series. Each time series element may include a large number of parameters, and one mechanism for comparing segments may be treating the elements as multi-dimensional vectors and using cosine similarity for finding significant matches. A deployment mechanism may store time series segments in a searchable database, and search the database with a newly observed time series segment for matches.

Abstract: A method for predicting short-term cloud coverage includes a computer calculating an estimated cloud velocity field at a current time value based on sky images. The computer determines a segmented cloud model based on the sky images, a future sun location corresponding to a future time value, and sun pixel locations at the future time value based on the future sun location. Next, the computer applies a back-propagation algorithm to the sun pixel locations using the estimated cloud velocity field to yield propagated sun pixel locations corresponding to a previous time value. Then, the computer predicts cloud coverage for the future sun location based on the propagated sun pixel locations and the segmented cloud model.

Abstract: A thermographic non-destructive inspection method of a structure, comprising the steps of: generating a modulated thermal wave in the direction of the structure; generating a temperature signal identifying a phase shift between the modulated thermal wave and a return thermal wave emitted from the structure; processing the temperature signal to obtain a first sub-signal related to the phase of the first harmonic of the temperature signal; identifying a first dimension of said defect as a function of the phase of the first harmonic of the temperature signal; calculating a first and a second intermediate parameter by calculating the difference between the phase value inside the zone with a defect and the phase value, absolute or mean of a plurality of points, of the undamaged zone close to the defect; and identifying a second dimension of the defect as a function of the first dimension and of the intermediate parameters.

Abstract: Denoising seismic data can include extracting a first plurality of overlapping patches corresponding to a respective seismic data window selected from a plurality of seismic data windows, reshaping the first plurality of overlapping patches into patch vectors, and determining sparse approximations of the patch vectors based on a dictionary and a sparse coefficient vector. Denoising seismic data can also include reshaping the sparse approximations into a respective second plurality of overlapping patches, and constructing a denoised version of at least one of the plurality of seismic data windows using the respective second plurality overlapping patches.

Abstract: A sensing system includes a sensor assembly that is communicably connected to a computer system, such as a server or a cloud computing system. The sensor assembly includes a plurality of sensors that sense a variety of different physical phenomena. The sensor assembly featurizes the raw sensor data and transmits the featurized data to the computer system. Through machine learning, the computer system then trains a classifier to serve as a virtual sensor for an event that is correlated to the data from one or more sensor streams within the featurized sensor data. The virtual sensor can then subscribe to the relevant sensor feeds from the sensor assembly and monitor for subsequent occurrences of the event. Higher order virtual sensors can receive the outputs from lower order virtual sensors to infer nonbinary details about the environment in which the sensor assemblies are located.