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: Emails or other communications are labeled with a category label such as “spam” or “good” without using confidential or Personally Identifiable Information (PII). The category label is based on features of the emails such as metadata that do not contain PII. Graphs of inferred relationships between email features and category labels are used to assign labels to emails and to features of the emails. The labeled emails are used as a training dataset for training a machine learning model (“MLM”). The MLM model identifies unwanted emails such as spam, bulk email, phishing email, and emails that contain malware.

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 estimating a coherence between the predetermined number of traces of the data matrix by performing a sum of a variance of the predetermined number of samples of the data matrix, and assigning the estimated coherence to a location in the geophysical image.

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: The present application provides a channel access process method in a wireless local area network. The method includes: generating, by a station, a backoff counter value; then performing, by the station, a backoff operation after receiving a first trigger frame, where the backoff operation includes: deducting, from the backoff counter value, a quantity N of subchannels for random access, to obtain a new backoff counter value; and when the new backoff counter value is 0 or a negative number, randomly selecting, by the station, one subchannel from the subchannels for random access, and then accessing the subchannel to send an uplink frame. The present application further provides a corresponding channel access apparatus. Applying the method and the apparatus of the embodiments of the present application improves system access efficiency and avoids a waste of system resources.

Abstract: Methods and systems are disclosed for forming an image of a subterranean region of interest. The method includes receiving an observed seismic dataset and a seismic velocity model for the subterranean region of interest, and generating a simulated seismic dataset based on the seismic velocity model and the geometry of the observed seismic dataset. The method further includes determining a transformed observed seismic dataset by applying a nonlinear amplitude transform to the observed seismic dataset and determining a transformed simulated seismic by applying the same transform to the simulated seismic dataset. The method still further includes forming an objective function based on the transformed observed seismic and the transformed simulated seismic dataset, and determining an updated seismic velocity model based upon finding an extremum of the objective function.

Abstract: Methods and systems are disclosed for updating a seismic velocity model of a subterranean region of interest. The method includes receiving an observed seismic dataset and a seismic velocity model, and generating a simulated seismic dataset based on the seismic velocity model and the geometry of the observed seismic dataset, wherein each dataset is composed of a plurality of seismic traces. The method further includes determining a transformed observed seismic dataset and a transformed simulated seismic dataset by determining the instantaneous frequency of at least one member of the plurality of observed seismic traces; and at least one member of the plurality of simulated seismic traces. The method still further includes forming an objective function based on the transformed observed seismic dataset and the transformed simulated seismic dataset and determining an updated seismic velocity model based on an extremum of the objective function.

Abstract: Systems and a method are disclosed. The method includes obtaining a plurality of raw seismic datasets for a subterranean region of interest, wherein each raw seismic dataset is generated by a high-speed train traversing a train track at a unique speed. The method further includes determining a plurality of processed seismic datasets by processing each of the plurality of raw seismic datasets and determining a final seismic dataset by combining the plurality of processed seismic datasets. The method still further includes identifying subterranean features within the subterranean region of interest using the final seismic dataset.

Abstract: Systems and methods for picking seismic stacking velocity based on structures in a subterranean formation include: receiving seismic data representing a subterranean formation; generating semblance spectrums from the seismic data representing the subterranean formation; smoothing the semblance spectrums; and picking stacking velocities based on the smoothed semblance spectrums.

Abstract: Disclosed are devices, systems, apparatus, methods, products, and other implementations, including a method comprising obtaining, by a device, a combined sound signal for signals combined from multiple sound sources in an area in which a person is located, and applying, by the device, speech-separation processing (e.g., deep attractor network (DAN) processing, online DAN processing, LSTM-TasNet processing, Conv-TasNet processing), to the combined sound signal from the multiple sound sources to derive a plurality of separated signals that each contains signals corresponding to different groups of the multiple sound sources. The method further includes obtaining, by the device, neural signals for the person, the neural signals being indicative of one or more of the multiple sound sources the person is attentive to, and selecting one of the plurality of separated signals based on the obtained neural signals. The selected signal may then be processed (amplified, attenuated).

Abstract: Emails or other communications are labeled with a category label such as “spam” or “good” without using confidential or Personally Identifiable Information (PII). The category label is based on features of the emails such as metadata that do not contain PII. Graphs of inferred relationships between email features and category labels are used to assign labels to emails and to features of the emails. The labeled emails are used as a training dataset for training a machine learning model (“MLM”). The MLM model identifies unwanted emails such as spam, bulk email, phishing email, and emails that contain malware.

Abstract: A channel access process method in a wireless local area network is provided. The method includes: generating, by a station, a backoff counter value; then performing, by the station, a backoff operation after receiving a first trigger frame, where the backoff operation includes: deducting, from the backoff counter value, a quantity N of subchannels for random access, to obtain a new backoff counter value; and when the new backoff counter value is 0 or a negative number, randomly selecting, by the station, one subchannel from the subchannels for random access, and then accessing the subchannel to send an uplink frame. The present application further provides a corresponding channel access apparatus. Applying the method and the apparatus of the embodiments of the present application improves system access efficiency and avoids a waste of system resources.

Abstract: Methods of and systems for forming an image of a subterranean region of interest are disclosed. The method includes obtaining an observed seismic dataset and a seismic velocity model for the subterranean region of interest and generating a simulated seismic dataset based on the seismic velocity model and the source and receiver geometry of the observed seismic dataset. The method also includes forming a plurality of time-windowed trace pairs from the simulated and the observed seismic datasets, and forming an objective function based on a penalty function and a cross-correlation between the members of each pair. The method further includes determining a seismic velocity increment based on the extremum of the objective function and forming an updated seismic velocity model by combining the seismic velocity increment and the seismic velocity model, and forming the image of the subterranean region of interest based on the updated seismic velocity model.

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: Embodiments of the present invention provide a split-screen display method and an electronic device. The method includes: An electronic device displays a display interface corresponding to a first task on a display when running a first application to execute the first task; receives, on the display interface corresponding to the first task, a first operation used to enable a second task; and enables a split-screen display mode in response to the first operation. Compared with that in the conventional technology, in the embodiments of the present invention, the split-screen mode can be triggered without an additional manual operation of a user. This achieves a technical effect of triggering, based on a task, an electronic device to enter a split-screen display mode, so that intelligence of the electronic device is improved.

Abstract: Embodiments herein are generally directed to methods of forming high aspect ratio metal contacts and/or interconnect features, e.g., tungsten features, in a semiconductor device. Often, conformal deposition of tungsten in a high aspect ratio opening results in a seam and/or void where the outward growth of tungsten from one or more walls of the opening meet. Thus, the methods set forth herein provide for a desirable bottom up tungsten bulk fill to avoid the formation of seams and/or voids in the resulting interconnect features, and provide an improved contact metal structure and method of forming the same. In some embodiments, an improved overburden layer or overburden layer structure is formed over the field region of the substrate to enable the formation of a contact or interconnect structure that has improved characteristics over conventionally formed contacts or interconnect structures.

Abstract: A method may include obtaining seismic data regarding a geological region of interest. The method may further include obtaining a property model regarding the geological region of interest. The method may further include determining an adjoint migration operator based on the property model. The method may further include updating the property model using the seismic data and a conjugate gradient solver in a least-squares reverse time migration to produce a first updated property model. The conjugate gradient solver is based on the adjoint migration operator. The method may further include updating the first updated property model using a threshold shrinkage function to produce a second updated property model. The threshold shrinkage function comprises a sign function and a maximum function that are applied to the first updated property model. The method may further include generating a seismic image of the geological region of interest using the second updated property model.

Abstract: The present disclosure relates to compositions and methods for reversible fixation of biological samples using fixation reagents that form bis-carbamate crosslinks between amine-bearing moieties in biomolecules.

Abstract: A cold and/or hot compress system, comprising a water bag (101), an air bag (102), a water circulation assembly (2) in fluid communication with the water bag (101) and a pneumatic assembly (3) in fluid communication with the air bag (102). In the cold and/or hot compress system, the water circulation assembly (2) is independent from the pneumatic assembly (3). Therefore, during the delivery of a cooling or heating therapy, the independent pneumatic assembly (3) can be driven by an air pressure waveform defined by parameters pre-stored in a control panel (402) to cause the water bag (102) to apply cold/hot compress to a region of interest of a patient's body. Independent water and air circulation paths in the system avoid interference between water and air flows therein, allowing the system to applied more stable compress with minimized pressure errors. Moreover, a more constant water flow rate and a more uniform temperature distribution across the surface of the water bag are achievable.

Abstract: An acquisition system is configured to acquire seismic data representing a subsurface formation during a fracking process. The system includes at least one acoustic sensor that is configured to obtain vibration data representing vibrations relating to three orthogonal directions relative to the at least one acoustic sensor. The system is configured to receive the vibration data from the at least one acoustic sensor, identify one or more resonance frequencies represented in the vibration data, determine, based on the identified one or more resonance frequencies, a stage of a fracking process being performed, identify, based on the stage of the fracking process that is identified, a feature of one or more fractures in a borehole that is configured for the fracking process, and generate a seismic image of the subsurface formation based on the feature of the one or more fractures.