Abstract: A decoding method, an encoding method, a decoder, and an encoder are provided. The decoding method includes the following. A bitstream is decoded to obtain a first transform coefficient of a current block. A first transform is performed on the first transform coefficient of the current block to obtain a second transform coefficient of the current block. A second transform is performed on the second transform coefficient to obtain a residual block of the current block. The current block is predicted based on a first prediction mode and a second prediction mode which correspond to a geometric partitioning mode (GPM) to obtain a prediction block of the current block. A reconstructed block of the current block is obtained based on the prediction block of the current block and the residual block of the current block.

Abstract: A decoding method, an encoding method, an encoder, and a decoder are provided. The decoding method includes that: determining, by parsing a bitstream, last significant coefficient location reverse identification information of a current slice, and coordinate information of a last significant coefficient of a current block of blocks in the current slice; in response to the last significant coefficient location reverse identification information indicating that last significant coefficient location reverse is applied to the blocks in the current slice, obtaining a location of the last significant coefficient of the current block by performing calculation on the coordinate information of the last significant coefficient; and determining coefficients of the current block by decoding coefficients located above the location of the last significant coefficient in a preset scanning order.

Abstract: Provided are articles and membranes, which may be functional membranes, that address the limitations of membranes known in the art. The membranes can be formed from porous substrates, carbon nanotubes, CO2-philic components, and quantum dots and provide much higher selectivity than other membranes previously reported, which is at least an order of magnitude higher than commercial membranes, and thus can enrich CO2 from 4% to 97% in one step. Also, the membranes of the present disclosure are stable under high vacuum operation and can maintain high CO2 separation performance for at least 100 hours. For example, highly permeable membranes or highly selective membranes can be obtained by manipulating nano-confined frameworks and active CO2-philic components.

Abstract: A method for temporal motion information prediction is provided. The method includes the following. At least one non-adjacent position of a current block is determined. First temporal motion information of the current block is determined according to motion information of the at least one non-adjacent position in a coded picture. The coded picture is a reference picture of the current block, and the first temporal motion information of the current block is determined according to the motion information of the at least one non-adjacent position in the coded picture as follows. A collocated block corresponding to the non-adjacent position in the reference picture is determined. Motion information of the collocated block is obtained. The first temporal motion information of the current block is obtained by scaling a motion vector in the obtained motion information.

Abstract: The present disclosure provides a method for training a model, a method and an apparatus for generating molecules, and relates to the technical field of computer technology, particularly the technical field of artificial intelligence. The particular implementation may include: obtaining first molecular samples and second molecular samples; determining molecular difference information based on the first molecular samples and the second molecular samples; training an initial encoding module and an initial generation module based on the molecular difference information to obtain a target encoding module and a target generation module; and determining a molecule generation model based on the target encoding module and the target generation module.

Abstract: In one embodiment, a method includes receiving a first input by a user from a client system associated with the user, wherein the first input is in a voice modality, analyzing the first input to generate one or more candidate hypotheses, determining one or more modalities for presenting output generated by the one or more computing systems to the user at the client system, and sending instructions to the client system for presenting one or more suggested auto-completions corresponding to one or more of the candidate hypotheses, respectively, wherein each suggested auto-completion comprises the corresponding candidate hypothesis, and wherein the one or more suggested auto-completions are presented in the one or more determined modalities.

Abstract: Intra prediction methods, an encoder, and a decoder are provided. In the method, a template of a current block is divided into sub-templates; a prediction mode is determined according to costs of candidate modes on the sub-templates of the current block; an intra prediction value of a current frame can then be determined according to the prediction mode.

Abstract: A video coding method and apparatus are provided in the disclosure. In the disclosure, a weight derivation mode and K prediction modes are used as a combination, so that a weight derivation mode and K prediction modes used by a current block are indicated in the form of a combination in a bitstream. In this case, at a decoding end, a first index is obtained by decoding the bitstream, the first index indicates a first combination consisting of one weight derivation mode and K prediction modes, a first weight derivation mode and K first prediction modes included in the first combination are determined according to the first index, and a current block is predicted according to the first weight derivation mode and the K first prediction modes to obtain a prediction value of the current block.

Abstract: Provided is a method and system for predicting building heating and cooling electrical loads. The method includes: obtaining actual and simulated heating and cooling electrical data of a plurality of source domain buildings as well as simulated heating and cooling electrical load data of a target domain building; calculating temporal errors of heating and cooling electrical data of the plurality of source domain buildings; calculating correlation of the target domain building with the plurality of source domain buildings, and on this basis, calculating weighted errors; transferring the weighted errors to the simulated heating and cooling electrical load data of the target domain building, using heating and cooling electrical load data after the transfer as historical heating and cooling electrical load data of the target domain building; constructing and training a prediction model; and predicting heating and cooling electrical load data of the target domain building through the trained prediction model.

Abstract: The present disclosure relates to an entity for generating a signal. The entity is configured to generate the signal by precoding a vector, the vector comprising a group of real elements and an offset. The entity is configured to obtain the group of real elements from an orthogonal frequency-division multiplexing (OFDM) signal, and the offset from the group of real elements. Further, the present disclosure relates to an entity for generating an orthogonal frequency-division multiplexing (OFDM) signal. The entity is configured to generate the OFDM signal by grouping samples of a signal in multiple groups, and postcoding each group of the multiple groups to generate postcoded samples of the signal.

Abstract: A multi-modal, reconfigurable, and adaptive gripper system may include a suction cup assembly, a static finger assembly, and at least two reconfigurable finger assemblies that are controlled by a pressure-regulated actuation assembly. In order to grasp an item, a grasp mode, a finger configuration, and/or force(s) to apply to the item may be selected or determined. Various combinations of the suction cup assembly and finger assemblies may be used, with various finger configurations, and with various air pressures or differentials supplied by the pressure-regulated actuation assembly, in order to apply the selected force(s) to portions of the item and reliably grasp, transport, and release the item as part of various automated material handling processes.

Abstract: Provided are a coefficient coding/decoding method, an encoder and a decoder.

Abstract: A TOF sensor module is disclosed. The TOF sensor module includes a light source, a beam adjustment assembly, and a detection assembly. The light source is configured to emit m first beams at each of M moments, and transmit the m first beams to the beam adjustment assembly. The beam adjustment assembly is configured to: adjust the received m first beams to generate S second beams, project the S second beams to S regions of a detection surface, where projection is performed to M projection points on the detection surface at the M moments respectively, the M projection points are in a same region of the detection surface and have different locations. The detection assembly is configured to receive S optical echo signals from the detection surface at each of the M moments, and convert the S optical echo signals into S electrical echo signals for storage at each moment.

Abstract: The present application discloses an occluder, including a distal disc, a waist portion, and a proximal disc which are formed in sequence. The proximal disc includes a proximal disc surface. A proximal bending area is formed at a circumference of the proximal disc surface and bent towards the distal disc, where the proximal bending area surrounds an edge of the distal disc, and a stabilizing wire is further threaded through a free end of the proximal bending area and may tighten the free end of the proximal bending area towards the waist portion.

Abstract: According to an embodiment of the disclosure, a method of processing a video, the method being performed by an electronic device may be provided. The method may include determining a first motion trajectory of pixels between at least two first images of the video. The method may include determining motion trajectory points corresponding to at least one second image of the video based on the first motion trajectory. The method may include obtaining a second motion trajectory based on the motion trajectory points, a blurriness of the at least one second image being greater than a blurriness of each of the at least two first images. The method may include performing a deblurring processing on the at least one second image based on the second motion trajectory.

Abstract: A communication apparatus determines a first sequence group, where the first sequence group includes N sequences, where N is greater than 2 and is a power of 2, the N sequences include at least one Golay complementary sequence pair, each of the N sequences includes a plurality of symbols, and symbols in at least two sequences are arranged in opposite orders. The communication apparatus sends a pulse train, where the pulse train is obtained based on the first sequence group, and one pulse in the pulse train corresponds to one of the N sequences.

Abstract: This disclosure relates to a silicon based power device with an integrated optomechanical temperature sensing system. The device, in some examples, comprises a silicon die with a photonic crystal cavity, a photodiode, and a photodetector monolithically embedded within. Positioned at ends of the photonic crystal cavity, the photodiode emits photons, while the photodetector detects photon intensity. A silicon based mechanical component located within the cavity deforms in response to temperature changes, modulating the reflection of the photons. This deformation allows for the measurement of junction temperature by analyzing the intensity of the reflected photons.

Abstract: Methods for video encoding/decoding and bitstream transmission are provided. A weight of a template is determined according to a weight derivation mode. At least one number of K prediction modes for a current block is determined. A prediction value is determined according to the K prediction modes and the weight derivation mode. That is, in the disclosure, a template is simulately partitioned according to the weight.

Abstract: A video decoding method includes: determining first motion information of a current block; refining the first motion information based on motion information of a reference picture of the current block to obtain second motion information of the current block; and determining a prediction value of the current block based on the second motion information.

Abstract: Embodiments of the present disclosure provide a coefficient coding method and a storage medium. The method includes the following. A bitstream is parsed to obtain a video flag. When the video flag indicates that a video satisfies a preset condition, the bitstream is parsed to obtain a last-significant-coefficient position-reverse flag and coordinate information of a last significant coefficient. When the last-significant-coefficient position-reverse flag indicates that a position of the last significant coefficient is reversed for a current block, the position of the last significant coefficient is determined by calculation with the coordinate information of the last significant coefficient. According to a preset scanning order, all coefficients before the position of the last significant coefficient are decoded to determine coefficients of the current block.