Abstract: A resonator (1), a filter, a radio frequency (RF) front-end module, and a method for manufacturing the resonator (1) are provided. The resonator (1) includes a piezoelectric substrate (10) and an interdigital transducer (IDT) (30). The first finger (351) includes a first connection portion (3511), a first intermediate portion (3513), and a first main body portion (3515). The second finger (353) includes a second connection portion (3531), a second intermediate portion (3533), and a second main body portion (3535). The potential distribution between an end of the first main body portion (3515) and the first busbar (31), and between an end of the second main body portion (3535) and the second busbar (33), is more uniform, thereby suppressing spurious modes and improving the quality factor (Q factor).

Abstract: Aspects presented herein relate to methods and devices for display processing including an apparatus, e.g., a GPU or a CPU. The apparatus may obtain a first frame and a second frame of a plurality of frames in a scene. The apparatus may also calculate a set of first motion vectors in the first frame and a set of second motion vectors in the second frame, where the set of first motion vectors and the set of second motion vectors are calculated based on a block matching procedure. Further, the apparatus may estimate at least one third frame in the plurality of frames based on the set of first motion vectors in the first frame and the set of second motion vectors in the second frame, where the at least one third frame is subsequent to the second frame in the plurality of frames.

Abstract: Disclosed are a resonator and a manufacturing method thereof, a filter, and an electronic device. The resonator includes a substrate, a Bragg reflection layer, and a piezoelectric layer that are sequentially stacked. A first electrode is disposed on a surface that is of the piezoelectric layer and that faces the Bragg reflection layer, a second electrode is disposed on a surface that is of the piezoelectric layer and that is away from the Bragg reflection layer, a border ring is disposed on a surface that is of the second electrode and that is away from the piezoelectric layer, and the resonator has a first resonance region and a second resonance region corresponding to the border ring.

Abstract: The current application discloses a method, apparatus, and electronic device for correcting base quality scores according to sequencing platform characteristics. This method extracts the overlapping bases, distinguishes sequencing errors from non-sequencing errors, and divides the extracted overlapping bases into different bins according to the read direction where the sequencing error base is located, the number of sequencing cycles, the dinucleotide in the sequencing direction, and the base quality score given by the sequencer. The sequencing error bases in each feature bin are counted, and the empirical quality value is calculated. A lowess model is used to perform polynomial fitting modeling on the RQS and EQS in the feature bins and to correct the original base quality score.

Abstract: The current application reveals a method, apparatus, device, and storage medium for detecting micro residual lesions, falling within the domain of medical detection technology. This method is based on differentiated deep whole-exome/targeted drug sequencing and tissue-blood cell-plasma co-capture technology, and 100,000× ultra-high depth personalized/high evidence hotspot combination panel sequencing to evaluate tiny residual lesions and tumor evolution/second primary in plasma samples. It resolves the challenges of existing techniques, such as elevated tissue detection thresholds, restricted tracking locations, inadequate detection sensitivity and precision, or elevated costs when ctDNA concentrations in the bloodstream are minimal. Furthermore, it surmounts the challenge of simultaneously achieving personalized tracking detection and monitoring tumor evolution or second/primary detection.

Abstract: The present disclosure relates to graphics processing. An apparatus of the present disclosure may determine visibility streams corresponding to a target and a set of bins into which the target is divided. The apparatus may select one of a first rendering mode or a second rendering mode for the target based on the first visibility stream and based on the set of second visibility streams. When the first rendering mode is select, the apparatus may configure each of the set of bins into a first subset associated with a first type of rendering pass or a second subset associated with a second type of rendering pass. The apparatus may then render the target based on the selected one of the first rendering mode or the second rendering mode and, if applicable, based on the first rendering pass type or the second rendering pass type.

Abstract: The present disclosure relates to graphics processing. An apparatus of the present disclosure may determine visibility streams corresponding to a target and a set of bins into which the target is divided. The apparatus may select one of a first rendering mode or a second rendering mode for the target based on the first visibility stream and based on the set of second visibility streams. When the first rendering mode is select, the apparatus may configure each of the set of bins into a first subset associated with a first type of rendering pass or a second subset associated with a second type of rendering pass. The apparatus may then render the target based on the selected one of the first rendering mode or the second rendering mode and, if applicable, based on the first rendering pass type or the second rendering pass type.

Abstract: A video processing system includes a graphics subsystem including a graphics processing unit (GPU) and a frame buffer. The GPU is configured to obtain a physical pixel layout corresponding to a display architecture of an electronic display, wherein the physical pixel layout is characterized by a non-uniform subpixel arrangement; receive image data, including a matrix of logical pixel chroma values; subsample the matrix of logical pixel chroma values according to the physical pixel layout to produce subsampled image data having a subpixel rendered format corresponding to the non-uniform subpixel arrangement; store the subsampled image data in the frame buffer; and enable transfer of the subsampled image data to a display processing unit (DPU) of the electronic display for composition of frames having the non-uniform subpixel arrangement.

Abstract: The present invention discloses connection systems and methods for cubic structures. The systems include structural members and connecting members, the structural members are configured to interconnect with another structural member by the connecting members, the structural members are provided with accommodating portions for accommodating the connecting members, the structural members include various structural members having different types of interconnection, and the connecting members include various connecting members adapted to the different types of interconnection of the structural members. The methods connect the cubic structures according to the systems. The present invention can be adapted to the connection of cubic structures in various scenarios, thereby promoting development of modular construction.

Abstract: Embodiments include methods and devices for per layer motion adaptive over-drive strength control for a display panel. Various embodiments may include determining motion information associated with a frame layer, determining an over-drive strength factor for the frame layer based at least in part on the motion information associated with the frame layer, and determining whether the over-drive strength factor is associated with computing a content difference. Various embodiments may include, in response to determining that the over-drive strength factor is associated with computing a content difference, performing fragment shading on the framebuffer object for the frame layer to generate an over-drive compensated framebuffer object for the frame layer based at least in part on the over-drive strength factor, and outputting the over-drive compensated framebuffer object for the frame layer to a default framebuffer for rendering on the display panel.

Abstract: Embodiments include methods and devices for per layer motion adaptive over-drive strength control for a display panel. Various embodiments may include determining motion information associated with a frame layer, determining an over-drive strength factor for the frame layer based at least in part on the motion information associated with the frame layer, and determining whether the over-drive strength factor is associated with computing a content difference. Various embodiments may include, in response to determining that the over-drive strength factor is associated with computing a content difference, performing fragment shading on the framebuffer object for the frame layer to generate an over-drive compensated framebuffer object for the frame layer based at least in part on the over-drive strength factor, and outputting the over-drive compensated framebuffer object for the frame layer to a default framebuffer for rendering on the display panel.

Abstract: Disclosed in the present invention is hyperspectral image classification method based on context-rich networks. The method comprises a training stage and a prediction stage, wherein the training stage comprises image pre-processing, sample selection and network training. Firstly, performing normalization on a hyperspectral image, and then randomly selecting an appropriate proportion of marked samples from each category to generate a label map, and performing training by using the designed network; in the prediction stage, directly inputting the whole image into the trained network and obtaining a final classification result. By means of the present invention, data pre-processing, feature extraction, the process of context-rich information capturing, and classification are taken into comprehensive consideration in the whole flow; and the classification of a hyperspectral image is realized by means of constructing an end-to-end network.

Abstract: The present disclosure relates to graphics processing. An apparatus of the present disclosure may determine visibility streams corresponding to a target and a set of bins into which the target is divided. The apparatus may select one of a first rendering mode or a second rendering mode for the target based on the first visibility stream and based on the set of second visibility streams. When the first rendering mode is select, the apparatus may configure each of the set of bins into a first subset associated with a first type of rendering pass or a second subset associated with a second type of rendering pass. The apparatus may then render the target based on the selected one of the first rendering mode or the second rendering mode and, if applicable, based on the first rendering pass type or the second rendering pass type.

Abstract: This invention proposes a pedestrian re-identification method based on virtual samples, comprising following steps: s1) obtaining virtual persons generated by game engine, and generating the virtual samples with person labels by fusing a background of a target dataset and a pose of real persons through a multi-factor variational generation network; s2) rendering the generated virtual samples according to lighting conditions; s3) sampling the rendered virtual samples according to person attributes of target dataset; s4) constructing a training dataset according to virtual samples obtained by sampling to train a pedestrian re-identification model, and verifying identification effect of the trained model.

Abstract: A person re-identification method based on a perspective-guided multi-adversarial attention is provided. The deep convolutional neural network includes a feature learning module, a multi-adversarial module, and a perspective-guided attention mechanism module. The multi-adversarial module is followed by a global pooling layer and a perspective discriminator after each stage of a basic network of the feature learning module. The perspective-guided attention mechanism module is an attention map generator and the perspective discriminator. The training of the deep convolutional neural network includes learning of the feature learning module, learning of the multi-adversarial module, and learning of the perspective-guided attention mechanism module. The proposed method uses the trained deep convolutional neural network to extract features of the testing images, and using an Euclidean distance to perform feature matching on images in a query set and images in a gallery set.

Abstract: The present disclosure relates to graphics processing. An apparatus of the present disclosure may determine visibility streams corresponding to a target and a set of bins into which the target is divided. The apparatus may select one of a first rendering mode or a second rendering mode for the target based on the first visibility stream and based on the set of second visibility streams. When the first rendering mode is select, the apparatus may configure each of the set of bins into a first subset associated with a first type of rendering pass or a second subset associated with a second type of rendering pass. The apparatus may then render the target based on the selected one of the first rendering mode or the second rendering mode and, if applicable, based on the first rendering pass type or the second rendering pass type.

Abstract: The present disclosure relates to filters and preparation methods of the filters. One example filter includes a substrate, a series resonator, a parallel resonator, and a series branch. The series resonator includes a first Bragg reflection layer and a first piezoelectric transduction structure that are sequentially stacked on the substrate. The parallel resonator includes a second Bragg reflection layer and a second piezoelectric transduction structure that are sequentially stacked on the substrate, and a structure of the first Bragg reflection layer is different from a structure of the second Bragg reflection layer. The series branch includes the series resonator, and the series branch is coupled between an input end of the filter and an output end of the filter.

Abstract: This invention proposes a pedestrian re-identification method based on virtual samples, comprising following steps: sl) obtaining virtual persons generated by game engine, and generating the virtual samples with person labels by fusing a background of a target dataset and a pose of real persons through a multi-factor variational generation network; s2) rendering the generated virtual samples according to lighting conditions; s3) sampling the rendered virtual samples according to person attributes of target dataset; s4) constructing a training dataset according to virtual samples obtained by sampling to train a pedestrian re-identification model, and verifying identification effect of the trained model.

Abstract: Disclosed in the present invention is hyperspectral image classification method based on context-rich networks. The method comprises a training stage and a prediction stage, wherein the training stage comprises image pre-processing, sample selection and network training. Firstly, performing normalization on a hyperspectral image, and then randomly selecting an appropriate proportion of marked samples from each category to generate a label map, and performing training by using the designed network; in the prediction stage, directly inputting the whole image into the trained network and obtaining a final classification result. By means of the present invention, data pre-processing, feature extraction, the process of context-rich information capturing, and classification are taken into comprehensive consideration in the whole flow; and the classification of a hyperspectral image is realized by means of constructing an end-to-end network.