Abstract: Disclosed is a two-phase access authentication method integrating spatial-temporal features in space-air-ground integrated networks. In the method, an access authentication is divided into two phases: a primary authentication phase and a continued authentication phase. In the primary authentication phase, a user equipment and a satellite are respectively initialized and registered through a ground network control center. In the authentication phase, a fast and secure access is achieved by using a user ID, facial features, and other authentication factors. In the continued authentication phase, data of a user flow and behavior features are acquired, and feature comparison is performed by using historical user data; and a security level and an authentication decision are output.

Abstract: A system for precisely locating abnormal areas of brain fiber bundles. The system extracts fiber connections of the whole brain from diffusion magnetic resonance data, and fiber bundle pathways extracts through self-defined fiber bundle pathways or based on brain fiber bundle templates. A selected fiber bundle pathway is projected on a fiber connection result of the whole brain and finely segmented. The imaging indexes such as fractional anisotropy, mean diffusivity, intra-neurite volume fraction and orientation dispersion index are calculated from diffusion magnetic resonance data, so as to obtain the imaging index of each node of each fiber bundle pathway. These imaging indexes are configured to classify the disease group and the healthy group by a machine learning method, and which nodes on which fiber bundle pathways have abnormal changes with different diseases can be precisely located.

Abstract: Disclosed are a method and apparatus for constructing a three-dimensional data set of a pedestrian re-identification based on a neural radiation field. The method includes the following steps: S1: capturing images of pedestrians to be entered by a group of cameras at different viewing angles; S2: generating a three-dimensional spatial position point set by sampling through camera rays in the scenario, and converting observation directions of the cameras corresponding to the three-dimensional spatial position point set into three-dimensional Cartesian unit vectors; and S3: inputting, into a multi-layer sensor, the three-dimensional spatial position point set and the observation directions converted into the three-dimensional Cartesian unit vectors, to output corresponding densities and colors. The method and apparatus of the present disclosure gives a brand-new method for constructing a pedestrian re-identification data set, and provides a new idea of data set construction.

Abstract: A thermally-driven full-ocean-depth lens wiping device and a method. The device includes a wiper hingedly mounted on a housing, a shape memory alloy wire mounted on the housing and configured to connect and drive the wiper to perform a wiping motion, and a fixing component configured to position and arrange the shape memory alloy wire, and further includes the housing mounted on a full-ocean-depth lens and a waterproof connector electrically connected to the shape memory alloy wire; in the method, the shape memory alloy wire is electrically heated to be extended and contracted, thereby pulling the wiper to rotate, and wiping of the lens is completed.

Abstract: A method for data processing is provided, and includes: obtaining each piece of to-be-processed data, determining whether a set amount of the to-be-processed data is capable to be processed under a current processing process by a data processing model, if not, obtaining data processing periods of the data processing model under multiple configuration combinations; for a data processing period of each of the multiple configuration combinations, determining an amount of data that is capable to be processed by the data processing model within the data processing period, as a target data amount; by taking the data processing model to be capable to process the set amount of the to-be-processed data as a target, according to the target data amount for a data processing period of each of the multiple configuration combinations, selecting a target configuration combination from the multiple configuration combinations.

Abstract: The present disclosure discloses a method and an apparatus for training a distributed model based on node fault perception, a storage medium, and an electronic device. During model training, a backup node can be assigned to each device node used during model training, such that in response to monitoring that a device node is faulty, the backup node corresponding to the faulty device node can take over the model training task, thereby ensuring the efficiency of the model training task.

Abstract: The present disclosure provides methods and apparatuses for improving user security of satellite-ground integrated network systems. On the basis of the satellite-ground integrated network pipeline only authenticates a terminal in a satellite-ground integrated network, a two-stage authentication based on CA digital certificates and user characteristic information is put forward for users and services using the terminal.

Abstract: The present disclosure discloses a time-sensitive network switch including a plurality of multi-core CPUs. In the time-sensitive network switch, by the parallel data processing method with multi-core system-on-chips (SoC), industrial real-time data are distributed to multi-core SoCs for processing in parallel. The processed data are scheduled according to the identified priority, and are arranged to the different priority queues of the port in order to process the high-priority data first, which reduces the processing time for the data in the device. The data passes through the security encryption engine in the time-sensitive network switch, which ensures the security for processing data in the device. The reliability, real-time and stability of the data transmission in the time-sensitive network are improved.

Abstract: The present disclosure discloses a method and system for automatically and quickly deploying a front-end processor based on gray release. The system includes a user management module, a front-end processor engineering configuration module, a version iteration module and an engineering code version management repository, where the version iteration module is connected with the engineering code version management repository, the user management module and the front-end processor engineering configuration module, a code is obtained through the engineering code version management repository to perform updating or rollback of a current code, an operating permission of the front-end processor is obtained by using the user management module, an engineering configuration parameter is obtained from the front-end processor engineering configuration module for engineering gray release of a plurality of front-end processors, and a task scheduling function therein is called.

Abstract: A system for predicting disease with graph convolutional neural network based on multimodal magnetic resonance imaging, which extracts the radiomics information of multiple brain regions across modals as the features of nodes from multimodal magnetic resonance data, and extracts the connectomics information between brain regions to form an adjacency matrix. T1-weighted structural images extract cortical information through cortical reconstruction, and resting-state magnetic resonance data are used to calculate amplitude of low frequency fluctuations, regional homogeneity and functional connectivity. Through multimodal data preprocessing, image index extraction and structured data integration, multimodal unstructured magnetic resonance image data are integrated into unified graph-structured data, and the disease is predicted by a graph convolutional neural network method.

Abstract: A converged data exchange method and a time-sensitive network switch are provided in the present disclosure. The network switch device performs sensitivity identification for the data to be forwarded. For the switching transmission of non-time-sensitive data, the push port queue and the pop port queue perform cut-through switching for the data, which reduces the residence time of the data packet in the switch device. For time-sensitive data, the push port queue and pop port queue forward the data according to the corresponding priority scheduling policies.

Abstract: The present disclosure discloses a data transmission method and system in time-sensitive network, which relates to the technical field of time-sensitive network of industrial Internet. The devices include multiple industrial end stations, multiple time-sensitive network switches and a network configuration operating system. In the present disclosure, the method and system can effectively reduce the processing time overhead of time-sensitive data in devices and is compatible with traditional Ethernet data transmission.

Abstract: The present disclosure provides a method and device for performing signal communication based on a levitated particle. In one example, the method includes: preparing a levitated state of the particle; regulating and measuring a net charge quantity carried by the levitated particle; calibrating electromagnetic response characteristics of the levitated particle; applying an electromagnetic communication signal; obtaining and demodulating the electromagnetic communication signal.

Abstract: An incremental compiling method and an incremental compiling system based on a heterogeneous device. The method comprises: a user using P4 to develop a network program, checking the syntax and semantics of the network program and converting into an intermediate representation; allocating intermediate representation files according to constraints such as the functions and resources of the heterogeneous device; then, transforming the network program into different rule expressions of the heterogeneous device according to the constraints of the heterogeneous device, flow table entries and the like, and loading the on different rule expressions to a target device; when the user needs to deploy network functions incrementally, the user only needs to write new network programs and regenerate rule expressions; by comparing and analyzing the old and new rule expressions, a rule expression that can be loaded on heterogeneous device is formed, and the incremental deployment of network functions is realized.

Abstract: The present disclosure provides a data storage system, including data cache module, data processing module, and a persistent memory. The data cache module includes an on-chip mapping data cache and an on-chip counter cache, where the mapping data cache is configured to cache mapping data, and when the free space of the mapping data cache is less than a preset threshold, the least recently used mapping data cache line will be evicted from the cache and written back to the persistent memory. The data processing module encrypts/decrypts persistent memory data by using their counters, and accesses the persistent memory blocks indicated by their corresponding mapping data. The persistent memory comprises the first and second storage regions for the latest checkpoint data and modified working data in the current checkpoint interval respectively.

Abstract: The present invention relates to a dynamic memory management apparatus and method for HLS, the apparatus has several searching and caching modules and several modifying and writing-back modules, the searching and caching modules are in connection with a DRAM storing module and a BRAM buffer, respectively, and the modifying and writing-back modules are in connection with the DRAM storing module and the BRAM buffer, respectively, the BRAM buffer is for caching information about nodes on a search path and registering information about modification made to the nodes. To remedy the defect that the traditional operating system is directly transplanted to the FPGA and has low execution efficiency, the present invention utilizes the advantage of the large capacity of the DRAM on the FPGA to realize efficient dynamic memory allocation and deallocation, and improve the usability and code reusability of HLS.

Abstract: A content caching method for a satellite terrestrial integrated network with differentiated interests and access modes, including: collecting user proportion information, content popularity distribution information, cache capacity information, and link delay information in the satellite terrestrial integrated network; determining a content caching problem of the collaboration of base stations and a satellite for a delay optimization based on differentiated user interests and differentiated access modes; solving the content caching problem to obtain a content caching strategy of the collaboration of the base stations and the satellite; and based on the obtained content caching strategy, caching contents in the base stations and the satellite to provide a content service for base station access users and satellite access users in the satellite terrestrial integrated network.

Abstract: Disclosed is an optical trap calibration apparatus and method based on variation of electric field by optical imaging of a nanoparticle. By means of a direct optical imaging method, a linear nanoparticle equilibrium position displacement under the action of a constant electric field is measured to realize calibration, thereby avoiding the introduction of error signals, and improving the reliability of differential calibration. The specific calibration method and apparatus of the present invention are not only suitable for calibration of electric field quantity, but also suitable for the calibration of other magnetic forces and the like. By means of the accurate calibration of mechanical quantity in the present invention, the development and application of the vacuum optical trap sensing technology can be promoted.

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 provides an integrated antenna and an antenna apparatus. The integrated antenna includes an antenna substrate, a photodiode and an antenna radiating body. The photodiode is disposed on the antenna substrate and includes two electrodes. The antenna radiating body is disposed on the antenna substrate and connected with the two electrodes. The antenna radiating body is disposed on an upper surface of the photodiode.