Abstract: A superhydrophobic coating is provided and contains organosilane, an inorganic nanomaterial, and an emulsifying agent. A mass proportion of the components is controlled, so that the superhydrophobic coating can form a micro-nano mixed microstructure inside foam concrete. The organosilane first forms dense hydrophobic surface layers on the surface and in inner pores of the foam concrete, and the nanomaterial forms uniformly distributed nano-bulges on the hydrophobic surface layers formed by the silane. The superhydrophobic performance of the foam concrete can be effectively improved by combining the two microstructures. The foam concrete exhibits excellent superhydrophobic performance.

Abstract: Embodiments of this disclosure relate to a decoding method and a decoding apparatus for predicting motion information. The method comprises: parsing a bitstream to obtain a first identifier; determining a target element from a first candidate set based on the first identifier, where elements in the first candidate set comprise at least one first candidate motion information and a plurality of second candidate motion information, the first candidate motion information comprises first motion information, and the second candidate motion information comprises a preset motion information offset; when the target element is obtained based on the plurality of second candidate motion information, parsing the bitstream to obtain a second identifier, and determining the target motion information based on the second identifier and one of the plurality of second candidate motion information.

Abstract: A depth calculation processor, a data processing method, and a 3D image device are disclosed herein. The depth calculation processor includes: two input ports to receive a first image data, wherein the first image data comprises structured light image acquired under projection of structured light; an input switch connected to the input ports and to convey all or some of the first image data from the input ports; a data processing engine connected to the input switch and to process the first image data that is output through the input switch and to output a second image data, wherein the second image data comprises a depth map, wherein the data processing engine comprises a depth processing engine to process the structured light image to obtain the depth map; and one output port connected to the data processing engine and to output the second image data to a main device.

Abstract: Extrinsic calibration of a Light Detection and Ranging (LiDAR) sensor and a camera can comprise constructing a first plurality of reconstructed calibration targets in a three-dimensional space based on physical calibration targets detected from input from the LiDAR and a second plurality of reconstructed calibration targets in the three-dimensional space based on physical calibration targets detected from input from the camera. Reconstructed calibration targets in the first and second plurality of reconstructed calibration targets can be matched and a six-degree of freedom rigid body transformation of the LiDAR and camera can be computed based on the matched reconstructed calibration targets. A projection of the LiDAR to the camera can be computed based on the computed six-degree of freedom rigid body transformation.

Abstract: Techniques for data processing involve: determining, from a disk array, a target disk used for data reconstruction of the disk array; and sending, to an indicating apparatus associated with the target disk, an indication that the target disk is used for the data reconstruction. In this way, such techniques can indicate to the user that the target disk is being used for data reconstruction to remind the user not to remove or move the target disk, thereby ensuring completion of the data reconstruction. Such a technique may improve data storage equipment operation by preventing user interference.

Abstract: A method of preparing quantum dots and the quantum dots are provided. The quantum dots are doped with manganese ions and various kinds of halogen ions such that when the quantum dots emit light, they will have a dual luminescence system, one is intrinsic luminescence of perovskite quantum dots and the other is doping luminescence of the manganese ions. The intrinsic luminescence of perovskite is adjustable from 410 nm to 520 nm based on the ratio of the amounts of different substances having various halide ions, which increases the wavelength range of a quantum dot luminescence spectrum so that the application scenario of the quantum dots is wider.

Abstract: This application discloses a motion vector obtaining method and apparatus, a computer device, and a storage medium. In the method, an initial motion vector of a to-be-processed picture block is determined by using a location relationship between a reference block and the to-be-processed picture block. When the reference block and the to-be-processed picture block are located in a same coding tree block, a decoder uses an initial motion vector of the reference block as the initial motion vector of the to-be-processed picture block. When the reference block and the to-be-processed picture block are located in different coding tree blocks, the decoder uses a final motion vector of the reference block as the initial motion vector of the to-be-processed picture block.

Abstract: The present disclosure provides a structured light projection module comprising: a Vertical-Cavity Surface-Emitting Laser (VCSEL) array light source that includes a semiconductor substrate and at least two VCSEL sub-arrays arranged thereon. The at least two VCSEL sub-arrays include VCSEL light sources. The structured light projection module further includes a diffractive optical element (DOE) that includes at least two DOE sub-units. The DOE sub-units are respectively corresponding to the VCSEL sub-arrays and configured to project multiple copies of light beams emitted by the corresponding at least two VCSEL sub-arrays.

Abstract: A decoding method includes determining prediction motion information of a first decoding block, performing bidirectional prediction on the first decoding block based on the prediction motion information to obtain a first decoding prediction block, performing motion search of first precision on a prediction reference image block to obtain at least one second decoding prediction block, where a search location of the motion search is determined using a motion vector predictor and the first precision, calculating a difference between the first decoding prediction block and each second decoding prediction block to obtain a target motion vector predictor of the first decoding block, and updating the target motion vector predictor through motion search.

Abstract: Embodiments of the present disclosure are directed to calibrating an imaging and ranging subsystem. Sensor data indicative of one or more targets from the imaging and ranging subsystem, location data defining a geographical location of the imaging and ranging subsystem, orientation data defining an orientation of the imaging and ranging subsystem and stored translation and rotation values of the imaging and ranging subsystem are received. Estimated Doppler values for the target are provided by the sensor data and theoretical Doppler values for the targets are also calculated. The estimated Doppler values are compared to the theoretical Doppler values to determine if calibration of the imaging and ranging subsystem is required. If calibration is necessary, correction translation and correction rotation values are calculated in order to calculate updated translation and rotation values used to calibrate the imaging and ranging subsystem.

Abstract: A Fe43.4Pt52.3Cu4.3 heterogeneous phase structure polyhedron nanoparticle, a preparing method and an application as an efficient fuel cell oxygen reduction catalyst are provided. The Fe43.4Pt52.3Cu4.3 heterogeneous phase structure polyhedron nanoparticle, includes: three elements of Fe, Pt and Cu; wherein the Fe43.4Pt52.3Cu4.3 heterogeneous phase structure polyhedron nanoparticle has a heterogeneous phase structure in which face-centered cubic and face-centered tetragonal coexist; wherein the heterogeneous phase structure is a face-centered tetragonal phase shell and face-centered cubic core with a high crystal plane index; a surface of the polyhedron nanoparticle has 1 to 2 atomic layers of enriched with Pt; a diameter distribution of the nanoparticles is at a range of 4.5 to 14.5 nm, and an average size is 8.4 nm.

Abstract: According to embodiments of the disclosure, a method and an apparatus for processing a speech signal, and a computer-readable storage medium are provided. The method includes obtaining a set of speech feature representations of a speech signal received. The method also includes generating a set of source text feature representations based on a text recognized from the speech signal, each source text feature representation corresponding to an element in the text. The method also includes generating a set of target text feature representations based on the set of speech feature representations and the set of source text feature representations. The method also includes determining a match degree between the set of target text feature representations and a set of reference text feature representations predefined for the text, the match degree indicating an accuracy of recognizing of the text.

Abstract: The disclosure provides a speech recognition method, a device and a computer-readable storage medium. The method includes obtaining a first voice signal collected from a first microphone in a microphone array and a second voice signal collected from a second microphone in the microphone array, the microphone array including at least two microphones, such as two, three or six microphones. The method further includes extracting enhanced features associated with the first voice signal and the second voice signal through a neural network, and obtaining a speech recognition result based on the enhanced features extracted.

Abstract: A network fabric storage system includes a chassis housing primary storage devices and one or more cache devices that re separate from each of the primary storage devices. A Link Control Card (LCC) is housed in the chassis and coupled to each of the primary storage devices and the cache device(s) via a mid-plane. The LCC includes a translation layer processor that receives first data from a host device, and processes the first data for storage in the cache device(s) such that the first data is stored in the cache device(s). The translation layer processor then determines that the first data should be stored in a first primary storage device and, in response, causes the first data to be moved from the cache device(s) to the first primary storage device such that the first data is stored in the first primary storage device.

Abstract: Data is classified using semi-supervised data. A decomposition is performed to define a first decomposition matrix that includes first eigenvectors of a weight matrix, a second decomposition matrix that includes second eigenvectors of a transpose of the weight matrix, and a diagonal matrix that includes eigenvalues of the first eigenvectors. Eigenvectors are selected from the first eigenvectors to define a reduced decomposition matrix. A linear transformation matrix is computed as a function of the first decomposition matrix, the reduced decomposition matrix, the diagonal matrix, and a penalty matrix. When a rank of the linear transformation matrix is less than a number of rows of the penalty matrix, a classification matrix is computed by updating a gradient of a cost function. When the rank of the linear transformation matrix is equal to the number of rows of the penalty matrix, the classification matrix is computed using a dual formulation.

Abstract: Embodiments of the present disclosure are directed to providing scene perception display requiring reduced processing capabilities. Sensor data indicative of one or more targets from an imaging and ranging subsystem, location data from a positioning subsystem defining a geographical location of the imaging and ranging subsystem and orientation data from an orientation subsystem defining an orientation of the imaging and ranging subsystem are received. Doppler point cloud data is generated based on Doppler information and point cloud data from the sensor data, the location data and the orientation data. The targets are classified as either a static or dynamic target. Afterwards, the Doppler point cloud data is filtered by removing either the dynamic or the static targets from the Doppler point cloud data. The Doppler point cloud data of either the dynamic or the static targets are further processed and the further processed Doppler point cloud data is rendered.

Abstract: A plurality of mobile devices is provided including a first mobile device of the plurality of mobile devices that serves as a relay for communication between a second mobile device of the plurality of mobile devices and a third mobile device of the plurality of mobile devices. The first mobile device is identified as the relay based on a social trust relationship formed between the first mobile device and the second mobile device. A D2D network is formed between the first mobile device and second mobile device. A communication channel is provided to the second mobile device from a second cellular network. A portion of the communication channel is allocated to the second mobile device using the D2D network to improve cellular transmission between the second mobile device and the third mobile device.

Abstract: The present disclosure discloses an interactive voice-control method and apparatus, a device and a medium. The method includes: obtaining a sound signal at a voice interaction device and recognized information that is recognized from the sound signal; determining an interaction confidence of the sound signal based at least on at least one of an acoustic feature representation of the sound signal and a semantic feature representation associated with the recognized information; determining a matching status between the recognized information and the sound signal; and providing the interaction confidence and the matching status for controlling a response of the voice interaction device to the sound signal.

Abstract: A group of state data of storage space in a storage system is collected according to a predetermined time interval, the group of state data being collected at a group of time points, respectively, and the group of time points being divided according to the predetermined time interval. The group of state data is compared with a threshold condition of the storage system, the threshold condition representing that storage space in the storage system is to be exhausted. An association relationship between a state of storage space in the storage system and a future time point is generated based on the group of state data in accordance with determining at least one state data in the group of state data satisfies the threshold condition. A state estimate of storage space in the storage system at a specified future time point is obtained based on the generated association relationship.