Abstract: Embodiments are directed to systems and methods of using a Rice code in video coding. In one embodiment includes a method of encoding or decoding video data, e.g., on a video encoder or decoder. In particular, embodiments are directed to determining a Rice parameter for encoding or decoding syntax elements related to coefficient levels.

Abstract: Disclosed are an EEG signal generation network, method and storage medium. The EEG signal generation network includes a real EEG signal input end, a real EEG signal labeling module, a generator, a sharing module, a discriminator, and a classifier. The EEG signal generation network is configured to minimize losses of the generator, discriminator and classifier, and to minimize a combined loss of the discriminator and classifier through training, and to generate a new event-related potential.

Abstract: A device for processing video data includes a memory configured to store video data and one or more processors implemented in circuitry. The one or more processors are configured to generate a coding unit for chroma components of a block of video data. The one or more processors are configured to split the coding unit for chroma components into a first triangle-shaped partition and a second triangle-shaped partition. The one or more processors are configured to apply pixel blending using a set of weights for a YUV 4:2:0 format to generate a predicted block for the chroma components of the block of video data when the one or more processors generate the coding unit for chroma components in the YUV 4:2:0 format and when the one or more processors generate the coding unit for chroma components in a YUV 4:4:4 format.

Abstract: Disclosed are a method for identifying P300 signal based on MS-CNN, device and storage medium, the method includes: collecting P300 signal; denoising the collected P300 signal; establishing MS-CNN network and setting network parameters thereof; receiving cross-subject data and performing feature extraction and classification to establish a cross-subject model via the MS-CNN network; receiving subject-specific data and establishing a subject-specific model via the MS-CNN network, based on a transfer learning technology and the cross-subject model.

Abstract: A method for quantitatively evaluating ablation-resistant properties of materials, comprising repairing a cathode sample, loading a sample into a test system, setting a minimum ablation time; conducting an arc ablation test on the sample for no less than the minimum ablation time, recording the arc ablation parameters; dividing the ablation volume by an ablation power to obtain an ablation loss rate, and taking the ablation loss rate as a quantitative evaluation index of ablation-resistant properties of electrode materials. The present invention is capable of quantitatively evaluating the arc ablation-resistant properties of electrode materials.

Abstract: A video decoder configured to receive a first syntax element indicating if any coding group (CG) of a plurality of CGs includes at least one non-zero coefficient, wherein the plurality of CGs includes a luma CG and at least one chroma CG; in response to the first syntax element indicating that a CG of a plurality of CGs includes at least one non-zero coefficient, receive, for each CG of the plurality of CGs, a flag indicating if a corresponding CG of the plurality of CGs includes at least one non-zero coefficient; and for a CG with a corresponding flag indicating that the CG includes at least one non-zero coefficient, receive additional syntax indicating values for coefficients of the CG.

Abstract: A multi-degree-of-freedom sample holder, comprising a housing and a rotating shaft, is disclosed. A frame is provided between the housing and the rotating shaft, and the frame is coaxial with the housing and rotating shaft. The present invention has multiple degrees of freedom such as high-precision translational freedom of the sample along the X-axis, Y-axis and Z-axis, and 360° rotation of the sample around the axis, etc. The sample is always aligned with the sample holder shaft during the rotation, and the static electricity accumulated on the sample can be led out.

Abstract: A training method for an electroencephalogram (EEG) pattern classification model, including: acquiring EEG data, pre-processing the EEG data, and labeling the EEG data to obtain a labeled training data set, wherein the training data set comprises the pre-processed and labeled EEG data; inputting each piece of EEG data in the training data set into an attention-mechanism-based convolutional neural network to extract pattern features of the EEG data; and modifying parameters for the EEG pattern classification model according to the pattern features and labels of the EEG data.

Abstract: Disclosed is a method for analyzing dynamic characteristics of EEG functional connectivity related to driving fatigue including: using independent component analysis and wavelet packet transformation to preprocess EEG data; constructing the preprocessed EEG data into a temporal brain network with dynamic characteristics based on a sliding window method; measuring a spatiotemporal topology of the temporal brain network based on a temporal efficiency analysis framework; and performing statistical analysis on the spatiotemporal topology of the temporal brain network to obtain a correlation between behaviors related to driving fatigue and dynamic characteristics of the temporal brain network.

Abstract: Disclosed is a magnetic encoder for determining a position of a first object relative to a second object. The encoder comprises a first magnetic member, a second magnetic member and a sensor member. The sensor member comprises a first sensor for measuring a change in magnetic field of the first magnetic member for deducing an unsigned absolute position of the first object relative to the second object, and a second sensor for measuring a change in magnetic field of the second magnetic member for deducing a sign for the unsigned absolute position. The first magnetic member and first sensor are coupled to respectively different ones of the first object and second object, and the second magnetic member and second sensor are coupled to respectively different ones of the first object and second object.

Abstract: An example video coding system may determine a first coding mode for a first block of video data of a plurality of blocks of video data in a processing area. The video coding system may compare a characteristic of the processing area to a threshold. The video coding system may determine whether to enable or disable use of a second coding mode for the remainder of the plurality of blocks of video data in the processing area based on the comparison. The video coding system may code the first block based on the first coding mode and code at least one block of the remainder of the plurality of blocks of video data based on the comparison.

Abstract: An example method of decoding video data includes determining a sum of absolute coefficient values of neighboring transform coefficients of a current transform coefficient of a current block of video data; determining, via performing arithmetic operations on the sum of absolute coefficient values and without using a look-up table that maps between sums of absolute coefficient values and rice parameters, a rice parameter for the current transform coefficient; decoding, using rice-golomb coding and using the determined rice parameter, a value of a remainder of the current transform coefficient; and reconstructing, based on the value of the remainder of the current transform coefficient, the current block of video data.

Abstract: An example device includes memory configured to store video data and one or more processors implemented in circuitry and coupled to the memory. The one or more processors are configured to determine whether transform skip mode is used for a current block of the video data. The one or more processors are configured to disable level mapping for residual coding based on transform skip mode being used for the current block. The one or more processors are configured to code the current block without applying level mapping.

Abstract: A video coder may determine a quantization parameter (QP) value for a block of video data, determine a residual coding method from a plurality of residual coding methods based on the QP value, wherein the plurality of residual coding methods include transform skip (TS) residual coding and regular residual coding, and code a residual of the block of video data using the determined residual coding method.

Abstract: A video coder selects a set of wide-angle intra prediction directions based on a size of a luma block of a picture having a YUV 4:2:2 chroma sampling format. Additionally, the video coder determines an intra prediction direction for the luma block. The intra prediction direction for the luma block is in the set of wide-angle intra prediction directions. The video coder also determines an intra prediction direction for a chroma block. The luma block is collocated in the picture with the chroma block. The chroma block has a different width/height ratio than the luma block. The intra prediction direction for the chroma block is guaranteed to have the intra prediction direction for the luma block. The video coder uses the intra prediction directions for the luma and chroma blocks to generate prediction blocks for the luma and chroma blocks, respectively.

Abstract: A driveline power transmitting component having a power transfer assembly disposed in a housing. The housing defines a vent aperture and a sump. A lubricating fluid is disposed in the sump and portions of the power transfer assembly travel through the lubricating fluid so that a lubrication surge zone and a splash lubrication zone are formed. The vent aperture is disposed in at least one of the surge zone, the splash lubrication zone and the sump when the driveline power transmitting component is disposed in at least one orientation in a predetermined range of operating positions in which the driveline power transmitting component can be operated. A breather relocation conduit is employed to permit air to be vented from the housing to the vent aperture without intaking lubricating fluid into the breather relocation conduit.

Abstract: A vehicle driveline component having a housing, a shaft received in the housing, a lubricant pathway coupled to the shaft for rotation therewith, a sleeve disposed coaxially about the lubricant pathway, and a fluid feed conduit coupled to the component housing. The lubricant pathway is disposed helically about an exterior surface of the shaft. The sleeve has a feed port. The fluid feed conduit having an outlet that is in fluid communication with the feed port. Lubricant in the lubricant pathway that has been discharged from the outlet of the fluid feed conduit travels in a predetermined axial direction along the rotary axis of the shaft when the shaft rotates about the rotary axis in a predetermined rotational direction.

Abstract: Embodiments are directed to systems and methods of using a Rice code in video coding. In one embodiment includes a method of encoding or decoding video data, e.g., on a video encoder or decoder. In particular, embodiments are directed to determining a Rice parameter for encoding or decoding syntax elements related to coefficient levels.

Abstract: Embodiments are directed to systems and methods of using rice code in video coding. In one embodiment includes a method of encoding or decoding video data, e.g., on a video encoder or decoder. The method includes determining available residual coefficients neighboring a current position in a transform unit of video data and determining a sum of the available residual coefficients. The method further includes modifying the sum based on the number of available residual coefficients and determining a rice parameter based on the modified sum. The method further includes encoding or decoding a syntax element of video data based on the determined rice parameter.

Abstract: A video decoder may be configured to determine whether a block of video data is to be further partitioned based on the size of the block of video data and a lossless coding flag. A video decoder may decode a lossless coding flag for a block of video data, wherein the block of video data is in a picture that includes both lossy coded blocks and lossless coded blocks, determine that the lossless coding flag indicates a lossless coding mode for the block, and partition the block into sub-blocks based on a size of the block and the determination of the lossless coding mode.