Abstract: A training data effectiveness evaluation method includes: acquiring a training set, where the training set is acquired by uniform downsampling from target data; acquiring a test set, where the test set includes at least one benchmark test set and at least one correlated test set; training a probe model based on the training set; testing the probe model based on the test set, and recording test metrics; generating an observation plot based on the test metrics, where the generating the observation plot includes: establishing a Cartesian coordinate system with a test metric of the benchmark test set as a horizontal axis and a test metric of the correlated test set as a vertical axis, and plotting key points in the Cartesian coordinate system based on the test metrics; and evaluating effectiveness of the target data based on the observation plot. The present disclosure has the following advantages.

Abstract: A method, a device, computer equipment and a storage medium for identify an illegal commodity. The method comprises: firstly, constructing a multi-modal knowledge graph according to a multi-modal knowledge graph data set, and extracting visual features of all visual modality entities and text features of all text modality entities in the knowledge graph; then obtaining a commodity image and a commodity text according to a database; then, generating commodity visual feature according to the commodity image; then generating the commodity text feature according to the commodity text; secondly, according to the visual features and text features, as well as the commodity visual feature and the commodity text feature, linking the commodity image and the commodity text to the knowledge graph by using an entity linking method; finally, obtaining the correlation between the commodity image and the commodity text according to the linked knowledge graph to determine the illegality of the commodity.

Abstract: A mobile station is a mobile station configured to transmit data to a base station by performing priority control, and includes a memory and a processor coupled to the memory and configured to be capable of transmitting a plurality of pieces of data having different requirements corresponding to a plurality of channel groups, and be capable of, when performing the priority control, applying a radio resource specified by the base station to a channel group specified by the base station out of the channel groups and controlling transmission of the data.

Abstract: A communication apparatus that supports sidelink communication includes: processor circuitry configured to: determine a first threshold based on information regarding sidelink communication, the first threshold is a threshold for a percentage of available resources in the resource pool, when the percentage of available resources are smaller than the first threshold, increase a second threshold for reception energy, perform an exclusion process to exclude resources from the resource pool, and repeat the exclusion process until the percentage of available resources being equal to or higher than the first threshold; and a transmitter configured to transmit control information and data by using a resource selected by the processor, wherein the information regarding sidelink communication is a priority requested when the data is transmitted via sidelink communication.

Abstract: A communication apparatus that supports sidelink communication, the communication apparatus includes, a scheduler configured to select one resource pool from a plurality of resource pools based on a selection criterion set for an individual one of the plurality of resource pools and information regarding sidelink communication, and a transmission unit configured to transmit control information and data by using a resource included in the resource pool selected by the scheduler, wherein the information regarding sidelink communication is a QoS (Quality of Service) condition requested when the data is transmitted via sidelink communication.

Abstract: Predicting parking space vacancy rate methods and apparatuses, storage media and devices, acquiring parking space vacancy rates of each of parking lots in the area to be predicted at a plurality of moments before the moment to be predicted as historical vacancy rates of each of the parking lots; obtaining a first feature by inputting the historical vacancy rates of each of the parking lots into the feature extraction network, wherein the first feature is used to characterize a relationship between the historical vacancy rates of each of the parking lots and time; obtaining a fusion feature by inputting the spatial relationship diagram and the first feature into the graph fusion network; and obtaining a parking space vacancy rate of each of the parking lots in the area to be predicted at the moment to be predicted by inputting the fusion feature into the result prediction network.

Abstract: The present application discloses a method and a system for analyzing and predicting a vehicle stay behavior based on multi-task learning, and the method includes the following steps: acquiring vehicle GPS and OBD data including a vehicle ID, a travel start time, a start longitude, a start latitude, an end time, an end longitude, and an end latitude after desensitization; preprocessing vehicle GPS and OBD data to obtain vehicle stay behavior data including stay location and stay duration; extract a spatial-temporal characteristic of the preprocessed vehicle stay behavior data by a deep recurrent neural network; inputting the spatial-temporal characteristic into a multi-task learning and predicting network, and obtaining the correlation between a stay location prediction task and the stay duration prediction task based on the historical stay behavior of the vehicle through the multi-task learning and predicting network to predict the stay location and stay duration.

Abstract: The present application discloses a method and a system for analyzing and predicting a vehicle stay behavior based on multi-task learning, and the method includes the following steps: acquiring vehicle GPS and OBD data including a vehicle ID, a travel start time, a start longitude, a start latitude, an end time, an end longitude, and an end latitude after desensitization; preprocessing vehicle GPS and OBD data to obtain vehicle stay behavior data including stay location and stay duration; extract a spatial-temporal characteristic of the preprocessed vehicle stay behavior data by a deep recurrent neural network; inputting the spatial-temporal characteristic into a multi-task learning and predicting network, and obtaining the correlation between a stay location prediction task and the stay duration prediction task based on the historical stay behavior of the vehicle through the multi-task learning and predicting network to predict the stay location and stay duration.

Abstract: A method, a device, computer equipment and a storage medium for identify an illegal commodity. The method comprises: firstly, constructing a multi-modal knowledge graph according to a multi-modal knowledge graph data set, and extracting visual features of all visual modality entities and text features of all text modality entities in the knowledge graph; then obtaining a commodity image and a commodity text according to a database; then, generating commodity visual feature according to the commodity image; then generating the commodity text feature according to the commodity text; secondly, according to the visual features and text features, as well as the commodity visual feature and the commodity text feature, linking the commodity image and the commodity text to the knowledge graph by using an entity linking method; finally, obtaining the correlation between the commodity image and the commodity text according to the linked knowledge graph to determine the illegality of the commodity.

Abstract: A method and a device for predicting gene coding breeding based on graph clustering. According to the present disclosure, a gene map is constructed based on inter-gene correlation strength; the gene map is subjected to clustering solution to obtain a number of co-regulated genomes and a genome cluster number information of each gene; gene allelic information and genome cluster number information are fused to obtain the gene cluster code of the sample; based on gene cluster code information and biological phenotype information to be predicted, a deep convolutional neural network is constructed to optimize the prediction performance of genetic breeding.

Abstract: Disclosed are a method and system for predicting spatio-temporal perception information based on a graph neural network. The method includes the following steps: step S1: constructing a perception data monitoring network, and acquiring original perception data through data acquisition nodes in the perception data monitoring network; step S2: pre-processing the original perception data and converting the same into spatio-temporal graph perception data; step S3: constructing a graph neural network model, and training parameters of the graph neural network model by using the spatio-temporal graph perception data; and step S4: inputting given spatio-temporal graph perception data to the trained graph neural network model and outputting a predicted value, and sending early warning information when the predicted value exceeds a preset threshold.

Abstract: This application discloses a sound acquisition component array, including: two first sound acquisition components, two second sound acquisition components, and two third sound acquisition components. The two second sound acquisition components are located at a first side of a line connecting the two first sound acquisition components, and the two third sound acquisition components are located at a second side of the connecting line that is opposite to the first side of the connecting line; the two second sound acquisition components are symmetrical about a perpendicular bisector of the connecting line, and the two third sound acquisition components are symmetrical about the perpendicular bisector; and a distance between the two first sound acquisition components, a distance between the two second sound acquisition components, and a distance between the two third sound acquisition components are respectively different from one another along a direction defined by the connecting line.

Abstract: A communication device that supports D2D (Device-to-Device) communication includes a processor configured to determine a sensing section for performing sensing based on a position of a first slot in a candidate selection slot set and information regarding a transmission of an aperiodic traffic, the sensing section being formed by a plurality of consecutive slots in a sensing window, the candidate selection slot set including a slot that is configured to transmit a D2D signal; and a sensing unit configured to perform sensing in the sensing section determined by the processor. The processor determines a resource for transmitting the D2D signal in the candidate selection slot set based on a result of the sensing by the sensing unit.

Abstract: A communication system includes a first terminal and a second terminal. The second terminal is configured to reserve a resource within a resource group that may be allocated for a data transmission, and broadcast a notification signal including reservation information on the resource. The first terminal device is further configured to receive the notification signal, select a resource to be used from the reserved resource based on the reservation information included in the notification signal, and transmit a feedback signal including radio layer information by using the selected resource to the second terminal device. The second terminal device is further configured to receive the feedback signal including the radio layer information from the first terminal device, allocate a resource for data transmission to the first terminal device, and releases, when the feedback signal is received, reservation of the resource used for the feedback signal.

Abstract: A communication apparatus that supports sidelink communication, the communication apparatus includes, a scheduler configured to select one resource pool from a plurality of resource pools based on a selection criterion set for an individual one of the plurality of resource pools and information regarding sidelink communication, and a transmission unit configured to transmit control information and data by using a resource included in the resource pool selected by the scheduler, wherein the information regarding sidelink communication is a QoS (Quality of Service) condition requested when the data is transmitted via sidelink communication.

Abstract: A communication device includes a processor that divides a first section including a plurality of resources into a plurality of second sections; provides, for each of the second sections, a first evaluation value related to a channel usage rate; calculates, for each of selectable resources included in the first section, a second evaluation value according to the first evaluation value; and selects one or a plurality of resources to be allocated to transmission data from the selectable resources according to the second evaluation value.

Abstract: This application discloses a sound acquisition component array, including: two first sound acquisition components, two second sound acquisition components, and two third sound acquisition components. The two second sound acquisition components are located at a first side of a line connecting the two first sound acquisition components, and the two third sound acquisition components are located at a second side of the connecting line that is opposite to the first side of the connecting line; the two second sound acquisition components are symmetrical about a perpendicular bisector of the connecting line, and the two third sound acquisition components are symmetrical about the perpendicular bisector; and a distance between the two first sound acquisition components, a distance between the two second sound acquisition components, and a distance between the two third sound acquisition components are respectively different from one another along a direction defined by the connecting line.

Abstract: A communication device supports device-to-device (D2D) communication and includes a processor, a transmitter, and a receiver. The processor generates control information that pertains to D2D data and requests a resource for transmitting the D2D data. The transmitter transmits the control information to a base station. The receiver receives, from the base station, information indicating resource allocation for transmitting the D2D data via D2D communication. The transmitter transmits the D2D data to a destination device via D2D communication according to the information indicating the resource allocation.

Abstract: A system includes: a terminal; another terminal; and a base station that performs terminal-to-base station communication with the terminal and the other terminal using a first radio resource, wherein: when the terminal has first data to be transmitted to the other terminal within a specified time period in terminal-to-terminal communication with which the terminal communicates with the other terminal using a second radio resource, the terminal transmits, to the base station, a change request for changing the first radio resource into the second radio resource; in response to the change request, the base station changes the first radio resource into the second radio resource, notifies the terminal and the other terminal of information on the second radio resource, and permits the terminal to use the second radio resource; and the terminal transmits the first data to the other terminal by using the second radio resource.

Abstract: A mobile station is a mobile station configured to transmit data to a base station by performing priority control, and includes a memory and a processor coupled to the memory and configured to be capable of transmitting a plurality of pieces of data having different requirements corresponding to a plurality of channel groups, and be capable of, when performing the priority control, applying a radio resource specified by the base station to a channel group specified by the base station out of the channel groups and controlling transmission of the data.