Abstract: A method of context bouncing includes receiving, at a command processor of a graphics processing unit (GPU), a conditional execute packet providing a hash identifier corresponding to an encapsulated state. The encapsulated state includes one or more context state packets following the conditional execute packet. A command packet following the encapsulated state is executed based at least in part on determining whether the hash identifier of the encapsulated state matches one of a plurality of hash identifiers of active context states currently stored at the GPU.

Abstract: A method of localization for a non-transitory computer readable storage medium storing one or more programs is disclosed. The one or more programs comprise instructions, which when executed by a computing device, cause the computing device to perform by one or more autonomous vehicle driving modules execution of processing of images from a camera and data from a LiDAR using the following steps comprising: computing, in response to features from a 3D submap and features from a global map, matching score between corresponding features of a same class between the 3D submap and the global map; selecting, for each feature in the 3D submap, a corresponding feature with the highest matching score from the global map; determining a feature correspondence to be invalid if a distance between corresponding features is larger than a threshold; and removing the invalid feature correspondence.

Abstract: Techniques are described for estimating pose of a camera located on a vehicle. An exemplary method of estimating camera pose includes obtaining, from a camera located on a vehicle, an image including a lane marker on a road on which the vehicle is driven, and estimating a pose of the camera such that the pose of the camera provides a best match according to a criterion between a first position of the lane marker determined from the image and a second position of the lane marker determined from a stored map of the road.

Abstract: Systems and methods include a computer-implemented method for presenting interpretation results of synchronized seismic data and fracture treatment times. A standard format seismic dataset of sensor readings obtained from a three-component sensor is generated. Coordinates and recording times corresponding to the sensor readings are added to the standard format seismic dataset. Synchronized seismic data is generated from the standard format seismic dataset by synchronizing seismic recording times with fracture treatment times. Quality-controlled synchronized seismic data is generated by removing dead traces and abnormal data samples from the synchronized seismic data. A time-frequency analysis is performed on the quality-controlled synchronized seismic data, including performing short-time Fourier transforms to analyze variations of Fourier spectra over time. Based on the time-frequency analysis, resonance frequencies are extracted from each frequency spectrum at different time samples.

Abstract: Systems and methods include a computer-implemented method for presenting interpretation results of synchronized seismic data and fracture treatment times. A standard format seismic dataset of sensor readings obtained from a three-component sensor is generated. Coordinates and recording times corresponding to the sensor readings are added to the standard format seismic dataset. Synchronized seismic data is generated from the standard format seismic dataset by synchronizing seismic recording times with fracture treatment times. Quality-controlled synchronized seismic data is generated by removing dead traces and abnormal data samples from the synchronized seismic data. A time-frequency analysis is performed on the quality-controlled synchronized seismic data, including performing short-time Fourier transforms to analyze variations of Fourier spectra over time. Based on the time-frequency analysis, resonance frequencies are extracted from each frequency spectrum at different time samples.

Abstract: Disclosed are methods, systems, and computer-readable medium to perform operations including: generating, using a source wavelet and a current velocity model, modeled seismic data of the subterranean formation; applying a pre-condition to a seismic data residual calculated using the modeled seismic data and acquired seismic data from the subterranean formation; generating a velocity update using the source wavelet and the pre-conditioned seismic data residual; updating, using the velocity update, the current velocity model to generate an updated velocity model; determining that the current velocity model satisfies a predetermined condition; and responsively determining that the updated velocity model is the velocity model of the subterranean formation.

Abstract: A substrate processing system includes a plasma generator configured to supply (radio frequency) RF power to an electrode arranged in a processing chamber. A sensor is configured to sense a parameter of the RF power supplied to the electrode. A controller is configured to compensate variations in a rate of a plasma process due to variations in bulk resistivity of a substrate arranged on a substrate support by causing the sensor to sense the parameter at least one of prior to plasma processing of the substrate and after a predetermined period after the plasma processing of the substrate begins; and adjusting the parameter of the RF power for the substrate during the plasma processing of the substrate based on the parameter sensed for the substrate.

Abstract: Common transmission points can be used to monitor a seismic reservoir. First and second common transmission points (CTPs) are received. For each of the first CTP gather and the second CTP gather, the traces before the CTP can be aggregated, and the traces crossing the CTP can be aggregates. The aggregated before CTP traces from the first CTP gather can be compared with the aggregated before CTP traces from the second CTP gather to determine a first time difference. The aggregated cross CTP traces from the first CTP gather can be compared with the aggregated cross CTP traces from the second CTP gather to determine a second time difference. A third time difference can be determined based at least partially on the first time difference and the second time difference.

Abstract: A method may include obtaining an initial velocity model regarding a subterranean formation of interest. The method may further include generating various seismic migration gathers with different cross-correlation lag values based on a migration-velocity analysis and the initial velocity model. The method may further include selecting a predetermined cross-correlation lag value automatically using the seismic migration gathers and based on a predetermined criterion. The method may further include determining various velocity boundaries within the initial velocity model using a trained model, wherein the trained model is trained by human-picked boundary data and augmented boundary data. The method may further include updating, by the computer processor, the initial velocity model using the velocity boundaries, the automatically-selected cross-correlation lag value, and the migration-velocity analysis to produce an updated velocity model.

Abstract: A method for generating a geophysical image of a subsurface region includes defining a computational sub-volume for the geophysical image including a predetermined number of seismic traces of a plurality of seismic traces and a predetermined number of samples per each one of the plurality of seismic traces, generating a data matrix corresponding to a first sub-volume of the subsurface region based on the defined computational sub-volume, the data matrix comprising the predetermined number of samples for the predetermined number of traces of a portion of a seismic dataset corresponding to the first sub-volume. The method also includes performing a singular value decomposition and estimating a coherence between the predetermined number of traces of the data matrix by performing a weighted sum of a variance of a plurality of right singular vectors of the data matrix, and assigning the estimated coherence to a location in the geophysical image.

Abstract: A method includes sending, by an access point, a scheduling request to a first scheduling server according to a data transmission requirement, where the scheduling request includes frequency band bandwidth information of a contention frequency band that is applied for and frequency band use time information of the contention frequency band that is applied for. The method also includes receiving, by the access point, a contention frequency band that is allocated by the first scheduling server to the access point according to a spectrum list and the scheduling request, where the spectrum list includes at least frequency band use information and interference information of the access point. The method also includes performing, by the access point, scheduling transmission by using the allocated contention frequency band.

Abstract: The invention relates to a molecular sieve SCM-14, a preparation process and use thereof. The molecular sieve has a schematic chemical composition of a formula of “SiO2.1/nGeO2” or a formula of “kF.mQ.SiO2.1/nGeO2.pH2O”, wherein the molar ratio of silicon to germanium, n, satisfies n?30, and other values and symbols are defined in the specification. The molecular sieve has unique XRD diffraction data and can be used as an adsorbent or a catalyst.

Abstract: A process for seismic imaging of a subterranean geological formation includes generating a source wavefield from seismic data representing a subterranean formation. The process includes generating a receiver wavefield from the seismic data representing the subterranean formation. The process includes decomposing the source wavefield to extract a source depth component and decomposing the receiver wavefield to extract a receiver depth component. The process includes applying a transform to each of the source depth component and the receiver depth component. The process includes combining the source depth component and the receiver depth component to generate an imaging condition. The process includes extracting a low-frequency term from the imaging condition to generate a wave-path tracking data, generating a wave path from the wave-path tracking data, and rendering a seismic image of at least a portion of the subterranean geological formation from the generated wave path.

Abstract: A method for uplink multiuser data transmission and a system for uplink multiuser multiple input multiple output are provided. The method implemented by an access point (AP) includes: sending, indication information to at least two stations (STAs), wherein the indication information indicates that the at least two STAs perform an uplink multiuser data transmission; receiving, uplink data sent by the at least two STAs through channels, respectively; and demodulating, the uplink data using receiving beams corresponding to pre-estimated channels, respectively. According to the embodiments of the present disclosure, the AP receives the uplink data from multiple STAs through different channels from the STAs to the AP respectively, and demodulates data using the receiving beams corresponding to the channels respectively, thereby realizing that the AP performs separation and demodulation of the uplink data sent by multiple STAs and realizing the uplink multiuser data transmission.

Abstract: The present disclosure describes methods and systems, including computer-implemented methods, computer program products, and computer systems, for generating Angle Domain Common Image Gathers (ADCIGs). One computer-implemented method includes receiving, at a data processing apparatus, a set of seismic data associated with a subsurface region wherein the set of seismic data includes receiver signal data at a plurality of time steps; for each time step in the plurality of time steps: calculating a receiver wavefield based on the receiver signal data at the respective time step; separating a first direction receiver wavefield and a second direction receiver wavefield of the receiver wavefield using Hilbert transformation of the receiver signal data at the respective time step; and applying an optical flow process on the first direction receiver wavefield to calculate wavefield directions; and generating an Angle Domain Common Image Gather (ADCIG) based on the wavefield directions.

Abstract: A system for seismic imaging of a subterranean geological formation uses a two-way imaging condition. A seismic signal is emitted into a subterranean formation and recorded at receiver(s). Source and receiver wavefields are decomposed into respective right-down/left-up and left-down/right-up propagating waves. The right-down/left-up and left-down/right-up direction can be defined along the direction emitted from the source or receiver to corresponding direction in two dimensional (2D) case. An imaging condition for generating both a positive-dip structure image and a negative-dip structure image is the inner product of the wavefields. Applying the sample-by-sample multiplication imaging condition to the opposite dip images, the diffraction energy is retained while the reflection energy is significantly attenuated. The diffraction image can be used to detect faults and fractures in subsurface regions.

Abstract: The embodiments of the present disclosure disclose a method for uplink multiuser data transmission and a system for uplink multiuser multiple input multiple output. The method includes: sending, by an access point AP, indication information to at least two stations STAs, wherein the indication information is used for indicating that the at least two STAs perform an uplink multiuser data transmission; receiving, by the AP, uplink data sent by the at least two STAs through channels from the at least two STAs to the AP, respectively; and demodulating, by the AP, the uplink data sent by the at least two STAs using receiving beams corresponding to pre-estimated channels from the at least two STAs to the AP, respectively.

Abstract: The present disclosure describes methods and systems, including computer-implemented methods, computer program products, and computer systems, for generating Angle Domain Common Image Gathers (ADCIGs). One computer-implemented method includes receiving, at a data processing apparatus, a set of seismic data associated with a subsurface region wherein the set of seismic data includes receiver signal data at a plurality of time steps; for each time step in the plurality of time steps: calculating a receiver wavefield based on the receiver signal data at the respective time step; separating a first direction receiver wavefield and a second direction receiver wavefield of the receiver wavefield using Hilbert transformation of the receiver signal data at the respective time step; and applying an optical flow process on the first direction receiver wavefield to calculate wavefield directions; and generating an Angle Domain Common Image Gather (ADCIG) based on the wavefield directions.

Abstract: An all-optical Diffractive Deep Neural Network (D2NN) architecture learns to implement various functions or tasks after deep learning-based design of the passive diffractive or reflective substrate layers that work collectively to perform the desired function or task. This architecture was successfully confirmed experimentally by creating 3D-printed D2NNs that learned to implement handwritten classifications and lens function at the terahertz spectrum. This all-optical deep learning framework can perform, at the speed of light, various complex functions and tasks that computer-based neural networks can implement, and will find applications in all-optical image analysis, feature detection and object classification, also enabling new camera designs and optical components that can learn to perform unique tasks using D2NNs. In alternative embodiments, the all-optical D2NN is used as a front-end in conjunction with a trained, digital neural network back-end.

Abstract: The present disclosure describes methods and systems, including computer-implemented methods, computer program products, and computer systems, for image-guided velocity interpolation using a mask cube. One computer-implemented method includes generating a 3D array of velocities, generating a mask for the 3D array of velocities, each value in the 3D array of velocities associated with a corresponding value in the mask, calculating a 3D array of diffused velocities by applying structure oriented smoothing to the 3D array of velocities, calculating a diffused mask by applying the structure oriented smoothing to the mask, and calculating interpolated velocity values based on the 3D array of diffused velocities and the diffused mask.