Abstract: A method and a network device for determining the type of scheduling information. The method is performed by a network device and includes: obtaining at least one of indicators reflecting a signal situation of a terminal device within a sliding time window, and a movement state of the terminal device; and determining the scheduling information type according to the at least one of the indicators reflecting the signal situation within the sliding time window and the movement state of the terminal device; wherein the scheduling information type is either cross-slot scheduling or within-slot scheduling.

Abstract: Disclosed herein are a multi-style transformation apparatus and method. The multi-style transformation apparatus may include a region segmentation unit configured to segment a region, a style of which is to be transformed, in a content image, a style transformation mask generation unit configured to generate a multi-channel mask for style application to each segmentation region, and a multi-style transformation model implemented as a pre-trained deep neural network in order to receive the content image and the multi-channel mask and output a multi-style transformed image.

Abstract: Provided are a communication method and a communication apparatus. The method comprises: a terminal device performs backscatter communication; and when a preset condition is satisfied, the terminal device switches to active transmission communication. According to the method in embodiments of the present application, the power consumption of the terminal device can be reduced while the transmission delay is ensured.

Abstract: Disclosed herein is an apparatus and method for providing a multi-party computation service. The apparatus prepares a preconfiguration in response to a request from a user device to execute a multi-party computation service, requests multi-party computation player servers participating in the multi-party computation service to perform a preconfiguration based on multi-party computation runtime environment data, executes multi-party computation with the multi-party computation player servers depending on the preconfiguration, and replies to the user device with a result of execution of the multi-party computation service based on a result of executing the multi-party computation.

Abstract: Provided are an information processing method, a terminal device, a chip, a computer-readable storage medium, a computer program product and a computer program. The method includes that: a terminal device receives a handover command which is used for configuring the terminal device to perform handover during which connections with a source network device and a target network device are both maintained; and the terminal device does not send uplink control information to the source network device.

Abstract: A method for selecting a consensus node in an apparatus for generating a blockchain includes reading a nonce from the nonce chain of a node, performing an operation on the read nonce and previous height information, and comparing the result of the operation with a reference value in order to select the node as a consensus node.

Abstract: Disclosed is a time-series data processing device that includes a preprocessor, a learner, and a predictor. The preprocessor generates time-series interval data based on a time interval of time-series data, generates feature interval data based on a time interval of each of features of the time-series data, and preprocesses the time-series data. The learner generates a weight group of a prediction model for generating a prediction result based on the time-series interval data, the feature interval data, and the preprocessed time-series data. The predictor generates a time-series weight, which depends on a feature weight of each of the features and a time flow of the time-series data, based on the time-series interval data, the feature interval data, and the preprocessed time-series data and generates a prediction result based on the feature weight and the time-series weight.

Abstract: Provided in embodiments of the disclosure are a communication method and device. A terminal device receives configuration information from a network device, and transmits timing advance (TA) information to the network device according to the configuration information. The TA information is configured to indicate a TA value determined by the terminal device.

Abstract: The disclosure is related to a method for allocating frequency resources in a wideband system, performed by a user equipment, wherein the wideband system comprises a bandwidth part (BWP) containing a plurality of subbands (N; SB0, SB1), each subband (SB) being formed by resource blocks (RB), the method comprises the steps of: obtaining an interlace structure determined by a set of always-valid RB (AV-RB) starting from a starting AV-RB and containing a number of consecutive RB corresponding to a pre-defined number (T) of RB forming an interlace; and a set of potential-valid RB (PV-RB) as all RB other than the AV-RB; obtaining at least one interlace index (#i) and at least one SB index (SB); determining the frequency resources based on the at least one interlace index, the at least one SB index and the interlace structure.

Abstract: A prediction decoding method, a prediction decoding apparatus, and a non-transitory computer storage medium are provided. The method includes the following. First multiple neighbouring reference samples of a coding block are determined, where the first multiple neighbouring reference samples include reference samples in a reference row or a reference column neighbouring the coding block. Positions corresponding to K reference samples are determined from a starting position of the reference row or the reference column, where K is a positive integer. Second multiple neighbouring reference samples are determined according to the determined positions corresponding to the K reference samples, where the second multiple neighbouring reference samples include neighbouring reference samples among the first multiple neighbouring reference samples. Prediction decoding is performed on the coding block according to the second multiple neighbouring reference samples.

Abstract: A multi-view fine-grained identification method, apparatus, electronic device and medium. By applying the technical scheme of the application, an initial classification model can be trained by using a sample data set consisting of multi-view images of a plurality of multi-view samples. Thus, an efficient fine-grained identification model can be obtained, and this model can actively select the next view image of the same sample for image identification. On the one hand, by aggregating information of multi-view images of the same sample, the limitation of traditional fine-grained image identification methods that only rely on a single picture to provide clues for discrimination is solved. On the other hand, by predicting view images for discrimination, identification efficiency based on multi-view fine-grained identification is improved.

Abstract: A communication method for communicating with a telecommunication system is provided, with a network node, a base station and a UE coordinately implementing the method. The telecommunication system transmits a control message comprising a channel occupancy duration COD field configured to indicate a duration candidate, such that the UE is configured with control message and enabled to perform transmission and/or reception over the unlicensed spectrum within a remaining channel occupancy duration RCOD determined from the control message.

Abstract: A time domain position determination method includes: obtaining, by a terminal, first indication information and second indication information, the first indication information indicating a starting position of a Fixed Frame Period (FFP), the second indication information indicating a time domain length of the FFP; and determining time domain positions of the FFP based on the starting position of the FFP and the time domain length of the FFP. Embodiments of the present disclosure further disclose a time domain position determination apparatus, a terminal, a computer-readable medium, a chip, and a computer program product.

Abstract: Provided are a method and device for identifying an individual appliance through analysis of a harmonic component of a power signal. An operating appliance identification method includes collecting a mixed load signal from a home power distribution network, generating a first candidate appliance list by selecting first candidate appliances among individual appliances registered in an individual appliance harmonic analysis information table based on a ratio of a harmonic component value included in the mixed load signal, generating a second candidate appliance list including second candidate appliances by filtering the first candidate appliances based on a magnitude of the harmonic component value included in the mixed load signal, and identifying an operating appliance among a plurality of appliances connected to the home power distribution network by using the second candidate appliance list.

Abstract: Provided is a waveguide-stripline feed transition element having a radiation function. The waveguide-stripline feed transition element includes a lower element in which a waveguide feed port is arranged, an upper element including a slot opening configured to radiate a portion of input power transmitted through the waveguide feed port to a free space, and a circuit board including a strip feed port configured to transmit remaining input power except for the portion of the input power radiated through the slot opening, the circuit board being arranged between the upper element and the lower element.

Abstract: The present disclosure provides a wireless communication method applied in a User Equipment (UE). The method includes: obtaining a first indication from a network device, the first indication being used for indicating a transmission mode; and determining the transmission mode based on the first indication. The transmission mode is used for communications between the network device and the UE, and is a first transmission mode or a second transmission mode. In the first transmission mode, the network device performs transmission in a Bandwidth Part (BWP) including a plurality of BWP parts, to which Listen Before Talk (LBT) is to be applied, after an entirety of the BWP has passed Clear Channel Assessment (CCA). In the second transmission mode, the network device performs transmission in one or more BWP parts of the plurality of BWP parts that have passed CCA.

Abstract: The embodiments of the present application provide a measurement method and apparatus, a terminal device, and a network device. The method comprises: a terminal device receives first instruction information sent by a network device, the first instruction information being used for instructing to activate a first measurement gap configuration; the terminal device determines frequency domain information associated with the first measurement gap configuration, and performs a measurement on the basis of a measurement configuration and the frequency domain information associated with the first measurement gap configuration.

Abstract: Provided are nanoparticles for sensing phosphate, a method for manufacturing the same, and a membrane for sensing phosphate including the same. The nanoparticles for sensing phosphate include a coordination polymer in which lanthanide metal ions and ligands are coordinated, and a polymer.

Abstract: A framework for an Internet of things (IoT) service is provided. The framework includes a first device configured to obtain user-related data for the IoT service and control an IoT device based on control data that is generated using the user-related data and a second device configured to generate the control data by analyzing the user-related data. The first device and the second device are configured to share, using a blockchain, the user-related data and the control data.

Abstract: Methods for determining a prediction value, an encoder and a decoder are provided. A bitstream is parsed to obtain a size and a coding mode of a current block. Reconstructed values of neighboring samples are acquired and the reconstructed values of the neighboring samples are filtered. A second constant value is calculated according to a bit depth value of a luma component of a sample in the current block. A difference between the second constant value and a first reference value in the reference value set is assigned as a first prediction input value in a prediction input value set. Other prediction input values in the prediction input value set other than the first prediction input value are determined. Prediction values of samples at specific positions in the current block are calculated. The prediction values are filtered to obtain prediction values of all samples in the current block.