Abstract: A wireless communication method and a terminal device are provided. The method includes: receiving, by a first terminal, a sidelink data channel and/or a sidelink reference signal transmitted by a second terminal; transmitting, by the first terminal, a first sidelink feedback channel to the second terminal, the first sidelink feedback channel carrying sidelink feedback information of the sidelink data channel and/or a measurement result of the sidelink reference signal, and the first sidelink feedback channel carrying information of more than one bit.

Abstract: Provided is a method for providing a time synchronization service for an external application service of a 5G system (5GS). A method may include: receiving, by a Network Exposure Function (NEF) from an Application Function (AF), a request for a capability for a 5GS time synchronization service; and in response to the request for the capability, transmitting, by the NEF to the AF, a time synchronization parameter including the capability.

Abstract: Disclosed herein is a video decoding method including: obtaining a transform skip mode flag indicating whether or not a transform skip mode is applied to a current block; based on the transform skip mode flag, when a transform skip mode is applied to the current block, determining that secondary transform/inverse transform is not applied to the current block; and, according to the transform skip mode flag, when a transform skip mode is not applied to the current block, obtaining a transform matrix index for secondary transform/inverse transform of the current block and, according to the transform matrix index, determining whether or not secondary transform/inverse transform is applied to the current block.

Abstract: Provided are a system and method for controlling a workflow across domains on the basis of a hierarchical engine framework. Inventive workflow control makes it possible to configure a flexible hierarchical engine framework and provide a workflow service with low latency. Also, the system and method make it possible to control a workflow by building an engine and a data pipeline across domains.

Abstract: A method for sharing channel occupancy time (COT), a terminal device, and a network device are provided. The method includes that: a terminal device sends first indication information to a network device, the first indication information indicating whether a first COT initiated by the terminal device is allowed to be shared with the network device.

Abstract: This invention provides a method of detecting a photon in a first frequency range, the method comprising the steps of: exciting a first transmission medium by a first probe signal at a first probe frequency, wherein the first probe signal excites electrons of the first transmission medium from a ground state of the first transmission medium to a first excited state of the first transmission medium; exciting the first transmission medium by a first coupling signal at a first coupling frequency, wherein the first coupling signal overlaps with the first probe signal in the first transmission medium and excites electrons of the first transmission medium to a predetermined excited state of the first transmission medium such that a first photon in the first frequency range and having a first polarisation incident upon the first transmission medium excites an electron in the predetermined excited state of the first transmission medium to a further excited state of the first transmission medium, wherein a first photo

Abstract: The present invention relates to a decoding method for a bit stream that supports a plurality of layers. The decoding method may include receiving information on a set of video parameters that includes information on the plurality of layers, and parsing the set of video parameters to 5 grasp information on the layers in the bit stream.

Abstract: Disclosed are a traffic prediction method for a metropolitan optical network and related devices. The traffic prediction method may include: classifying nodes in the metropolitan optical network into multiple node sets based on locations of the nodes; for nodes in each node set, inputting temporal traffic data of the nodes into a traffic prediction model corresponding to the node set to obtain traffic prediction results of the nodes in the node set. In the method, the traffic prediction model is obtained by deep learning using historical time-series traffic data of the node sets as a training set.

Abstract: The present invention relates to an image encoding/decoding method and apparatus. An image encoding method according to the present invention may comprise generating a transform block by performing at least one of transform and quantization; grouping at least one coefficient included in the transform block into at least one coefficient group (CG); scanning at least one coefficient included in the coefficient group; and encoding the at least one coefficient.

Abstract: Disclosed is an optimization method for resource allocation in a perception-enhanced cognitive radio network based on an IRS (intelligent reflecting surface).

Abstract: Disclosed herein are image encoding/decoding method and apparatus. The image decoding method according to the present invention includes: obtaining prediction mode information of a neighboring block for a current block from a bitstream; by using the obtained information, deriving a prediction mode of the neighboring block; and, based on the prediction mode of the neighboring block, reconstructing the current block.

Abstract: The present invention relates to a method and apparatus for re-training model by recognizing uncertainty in online user behavior detection. A method for training a model related to user behavior detection according to an embodiment of the present disclosure may comprise: detecting one or more behavior instances having a type of user behavior and a time interval of the user behavior; calculating at least one of a first uncertainty value for the type of user behavior or a second uncertainty value for the time interval of the user behavior; generating a first data newly labeling the type of user behavior or a second data newly labeling the time interval of the user behavior; and training a model that recognizes the user behavior information on a frame-by-frame basis.

Abstract: The present invention relates to a method for encoding and decoding an image. For this, a method for decoding an image may include: entropy-decoding a bitstream; determining a scanning unit and a scanning order of the transform coefficients of the current block; scanning and aligning the transform coefficients of the current block based on the determined scanning unit and scanning order; and performing inverse-transform for the aligned transform coefficients.

Abstract: The present application relates to a federated learning method and a first device, and a third device. The method includes: sending, by a first device, a first key to a second device, wherein the first key is configured to encrypt inference information of a second model in the second device to obtain first encrypted inference information; and obtaining, by the first device, target information based on inference information of a first model in the first device and second encrypted inference information corresponding to the first encrypted inference information, in response to receiving the second encrypted inference information.

Abstract: Embodiments of this application provide a wireless communication method and a device. The wireless communication method includes: determining, by the first communications device, an RRM measurement state based on first information, where the first information is one of following: a WUR signal and an RLM result. The communications device includes a first communications device and a second communications device.

Abstract: A device for decoding a feature map according to the present disclosure comprises an image decoding unit to decode an image from a bitstream; an inverse format conversion unit to restore a feature map latent representation by converting a formation of a decoded image; and a feature map restoration unit to restore a multi-layer feature map from the feature map latent representation. Here, the feature map restoration unit restores the multi-layer feature map based on a learned neural network parameter.

Abstract: The present invention provides a system and method for high-precision fire simulation-based virtual fire training interaction that features a fire suppression support virtual fire training interaction that combines a scientific fire simulation (FDS) result expression technology used for fire situation analysis and a real-time interaction technology processing dynamic changes in order to have more realistic training in virtual fire training such as fire suppression.

Abstract: The embodiments of the present application provide a wireless communication method, including: receiving, by a terminal device, first information broadcast by a first network; wherein the first information includes a capability level threshold and/or a type of a device prohibited or allowed to access the first network; the first information is configured to restrict access to the first network.

Abstract: A method and apparatus for inter prediction. According to the position of a current block in a video picture, first motion information and second candidate motion information is determined, the motion information at least includes a motion vector; it is determined whether the distance between the motion vector of the first motion information and the motion vector of the second candidate motion information is greater than a first threshold; if the determination result is that the distance is less than or equal to the first threshold, the second candidate motion information is updated to obtain second motion information; if the determination result is that the distance is greater than the first threshold, the second candidate motion information is taken as the second motion information; and inter prediction is performed on the current block by using the first motion information and the second motion information.

Abstract: A method and apparatus for configuring mesh peer link and a method and apparatus for switching channel in wireless mesh network are provided. A method of configuring a mesh peer link in a wireless mesh network includes a first mesh station transmitting a mesh peering open frame to a second mesh station, and the first mesh station receiving a mesh peering confirm frame from the second mesh station in response to the mesh peering open frame, wherein the first mesh station and the second mesh station support a very high throughput (VHT), and wherein the mesh peering open frame and the mesh peering confirm frame comprise a VHT capability information element.