Abstract: A positive electrode material, a preparation method therefor, and an application thereof are disclosed. The cathode material is composed of secondary particles agglomerated by primary particles; wherein individual secondary particle contains an inner core structure, a middle layer, and a shell layer, in this order, along a direction from a center to a surface of the secondary particle; wherein the middle layer is distributed in a circular ring shape; and wherein the secondary particle has a structure of close packing of an inner core structure, loose and porous middle layer, and close packing of the shell layer.

Abstract: Provided in the present application are a method and apparatus for training a visual language pre-training model, and a device and a medium. The method includes: acquiring pairing groups respectively corresponding to N images, wherein the pairing group of a first image includes: a first pairing group which is composed of the first image and description text of the first image, and a second pairing group which is composed of a local image of the first image and description text of the local image, N is an integer greater than 1, and the first image is any one of the N images; and training a visual language pre-training model according to the pairing groups respectively corresponding to the N images.

Abstract: The embodiments are directed towards providing personalized federated learning (PFL) models via sharable federated basis models. A model architecture and learning algorithm for PFL models is disclosed. The embodiments learn a set of basis models, which can be combined layer by layer to form a personalized model for each client using specifically learned combination coefficients. The set of basis models are shared with each client of a set of the clients. Thus, the set of basis models is common to each client of the set of clients. However, each client may generate a unique PFL based on their specifically learned combination coefficients. The unique combination of coefficients for each client may be encoded in a separate personalized vector for each of the clients.

Abstract: A machine learning model classifies points of interest in a parallel reality game hosted by a server. The server generates training data sets that include verified properties for points of interest. The machine learning model may predict unverified properties for points of interest. Players in the parallel reality game may input properties for the points of interest. The machine learning model use the received properties from players as inputs to the machine learning model to verify unverified properties or generate new properties for the points of interest. The server may classify the points of interest as suitable for particular activities, and the server may use the classifications for future activities within the parallel reality game.

Abstract: A method of implementing a computing service on edge nodes of a communication network, where the computing service is made from a plurality of service functions, each of which is connected to another service function by a communication routine. Service functions and routines can be deployed on edge nodes and communication between any two service functions can be performed via a routine and a privacy router, with coordination from a routine manager. Service functions and routines can be grouped into tasks, which can be coordinated with task managers. Tasks can be grouped into works, which can be coordinated with work managers. Because a privacy router can perform encryption on routine communications, any of the entities implementing the computing service can be deployed on edge nodes of a communication network, and a service manager can interface with external entities.

Abstract: The present application provides a precise ion implantation type modified geopolymer and an efficient preparation method thereof, wherein the precise ion implantation type modified geopolymer comprise: a geopolymer source material with a specific size, which implanted by Si and Al ions with a designated dose by an ion implanter. The geopolymer source material consists of a mixture of solid waste, alkali activator, and water.

Abstract: The present invention relates to the technical field of display, and relates to a display device, a touch display panel, and a touch panel and a manufacturing method therefor. The touch panel of the present invention may comprise a substrate, a touch layer, and a light shielding layer, the touch layer being provided on one side of the substrate. The light shielding layer and the touch layer are provided on the same side of the substrate; the light shielding layer is annular and surrounds the touch layer.

Abstract: The present invention provides systems and methods and apparatuses for user plane handling. An aspect of the disclosure provides a method of user plane handling. Such a method includes sending, by a first user plane entity, to a second user plane entity, a trigger message for changing the user plane handling for a protocol data unit (PDU) session. Another aspect of the disclosure provides a method of using a shared tunnel. Such a method includes receiving from a reception tunnel by a first user plane entity a tunnel packet including a tunnel header and a data packet. Such a method further includes routing, by the first user plane entity to a second tunnel using information in the tunnel header without processing the data packet.

Abstract: Disclosed is a fusion network-based method for image super-resolution and non-uniform motion deblurring. The method achieves, for the first time, restoration of a low-resolution non-uniform motion-blurred image based on a deep neural network. The network uses two branch modules to respectively extract features for image super-resolution and non-uniform motion deblurring, and achieves, by means of a feature fusion module that is trainable, adaptive fusion of outputs of the two branch modules for extracting features. Finally, an upsampling reconstruction module achieves a non-uniform motion deblurring and super-resolution task. According to the method, a self-generated set of training data is configured to perform offline training on a network, thereby achieving restoration of the low-resolution non-uniform motion-blurred image.

Abstract: The present application relates to a distributed antenna system, a method and an apparatus. The distributed antenna system comprises a digital-analog expansion unit and a remote cascade chain, the remote cascade chain comprising multiple remote units cascadingly connected by means of radio frequency cable, and a first remote unit of the remote cascade chain being connected to the digital-analog expansion unit by means of radio frequency cable. The digital-analog expansion unit is used to perform a baseband processing operation on a received external signal, and to perform interconversion of an analog RF signal and a digital RF signal.

Abstract: This application relates to the field of battery technology, and in particular, to a box assembly, a battery module, a battery, and an electrical device. The box assembly may include at least a partition piece and two end plates. In the box assembly disclosed herein, a stress relief piece may be disposed at two ends of a main body of the partition piece. The main body may be connected to the end plate by use of the stress relief piece. A corner may be formed between the stress relief piece and the main body. In this way, when the battery module is subjected to stress, at least a part of the stress can be relieved through the corner formed between the stress relief piece and the main body.

Abstract: A capsule endoscope image recognition method based on deep learning, and a device and a medium is provided. After a plurality of frames of continuously captured images are processed to form an image sequence of a specific format, multi-channel recognition is performed on the plurality of frames of images by means of a 3D convolutional neural network model, and a recognition result is then output in combination with a recognition probability of each channel, such that the image recognition precision is improved.

Abstract: The present disclosure relates to a radar ranging system based on a true random generator and a ranging method thereof The present disclosure adopts the following technical scheme: the system comprises a radar signal modulation and transmission unit and a radar signal receiving and processing unit, wherein the radar signal modulation and transmission unit inputs and stores a true random binary sequence generated by the true random generator in a memory, and cyclically outputs the true random binary sequence to a BPSK modulator for phase modulation. The receiving and amplifying unit receives the reflected radar signal. The down-sampling unit down samples the intermediate frequency signal generated by the mixers. The data processing unit converts the sampled analog signal into a digital signal and cross-correlates the signal with the true random binary sequence in the memory, so as to obtain the distance to the object side to be measured.

Abstract: The present invention provides a three-dimensional reconstruction method of a capsule endoscope image, an electronic device, and a readable storage medium, which combines two algorithms for obtaining image depth information values to improve the calculation accuracy of image depth information values, and thus to increase the image three-dimensional reconstruction rate and improve the image identification precision.

Abstract: There is provided a system, a method and an apparatus for managing network resources. The system includes a plurality of wireless entities including a mobile wireless entity and a fixed location wireless entity. The system further includes a plurality of computing devices, each of the plurality of computing devices including a processor and a memory storing instructions, the instructions when executed by the processor cause the plurality of computing devices to provide a location based media access (LOMA) map manager and a LOMA path manager, the LOMA map manager configured to generate and maintain a plurality of LOMA map, each of the plurality of LOMA maps including a plurality of LOMA zones, wherein a plurality of wireless communications resources used for communication between the plurality of wireless entities are associated with each of the plurality of LOMA zones, the LOMA path manager configured to manage communications using the wireless communications resources between the wireless entities.

Abstract: Application Function (AF) influenced routing for peer-to-peer (P2P) communications is provided. Core network elements correlate PDU sessions and optimize the UP path for peer-to-peer traffic. UP selection, reselection, configuration or reconfiguration can be performed in support of P2P traffic routing. P2P traffic between a pair of UEs is routed or rerouted through a bridge. The bridge may be established between the first UP and the second UP, and/or between associated RAN nodes. One or more application functions can be included along the bridge path. A policy control function (PCF) directs underlying resources to route P2P traffic via the bridge, for example in response to a trigger from the AF. A session management function (SMF) directs underlying resources to configure or reconfigure user plane data paths to route P2P traffic via the bridge. First and second SMFs of the first and second UPs can cooperate to establish the desired traffic routing.

Abstract: Methods and systems are provided for allocating resources including VoIP (voice over Internet Protocol) and Non-VoIP resources. In some embodiments, multiplexing schemes are provided for use with OFDMA (orthogonal frequency division multiplexing access) systems, for example for use in transmitting VoIP traffic. In some embodiments, various HARQ (Hybrid Automatic request) techniques are provided for use with OFDMA systems. In various embodiments, there are provided methods and systems for dealing with issues such as Handling non-full rate vocoder frames, VoIP packet jitter handling, VoIP capacity increasing schemes, persistent and non-persistent assignment of resources in OFDMA systems.

Abstract: Embodiments of the invention provide methods and systems to support QoS for unicast and groupcast casting types using sidelink radio bearers over the NR PC5 interface. Embodiments of the invention provide methods and systems to configure and activate sidelink radio bearers using AS-level signaling between the Tx UE and Rx UEs over the NR PC5 interface. Embodiments of the invention provide methods and systems to perform resource allocation and resource reservation in a platoon for sidelink transmissions.

Abstract: A referenceless image evaluation method for a capsule endoscope, an electronic device, and a medium. The method comprises: acquiring image quality evaluation scores and image content evaluation scores corresponding to respective original images; and determining, according to weights of the image content evaluation scores and weights of the image quality evaluation scores, a comprehensive score for each image currently being evaluated. The referenceless image evaluation method for a capsule endoscope employs various evaluation models to evaluate the image quality and content of a number of original images taken in the same detection region. The results of these evaluations are then combined to produce comprehensive scores for the numerous original images of the same region. Through the comprehensive scores, high-quality images can be quickly screened out, and thus the screening of the original images can be accelerated and the identification accuracy be improved.

Abstract: A method and apparatus for delivering a service to an end point, such as a UE or server, via a communication network, is provided. A virtual network is pre-configured to handle service packets and includes virtual routers for routing packets via logical tunnels. The end point pre-registers with the virtual network and/or service and receives operating parameters for use in service access. The end point location may be tracked following pre-registration. The end point subsequently transmits and/or receives service packets using the operating parameters via an edge node, such as an access node or gateway. The edge node transmits service packets using the operating parameters and, upon detecting operating parameter usage by the end point, forwards received service packets to the virtual network. Operating parameters may include an identifier included in the packet. The end point may use multiple different edge nodes to access the service.