116 results about "Data function" patented technology

A method, network device, system, and non-transitory computer-readable storage medium are described in relation to priority-based service authorization, including receiving, via an application service, a session request from a user equipment device (UE), wherein the session request includes a priority service subscription indicator associated with invoking a priority service session with the UE; determining, based on an applicable policy, a first authorization of the application service for the priority service; obtaining, from a user data function and based on the first authorization, a subscriber profile associated with the UE; sending, to an authenticator, a request for a second authorization of the UE for the priority service based on a verification of the priority service subscription indicator to the subscriber profile; receiving, from the authenticator, a verification message of the second authorization; and notifying, based on the verification message, the application service of the invoking of the priority service session.

The invention discloses an SATA (Serial Advanced Technology Attachment) bus system based on an FPGA (Field Programmable Gate Array) and an implementation method thereof, and the SATA bus system comprises a hierarchical protocol processing unit which is used for realizing command analysis, data encapsulation, channel coding and signal conversion functions; the control module is used for receiving a read-write command and read-write parameters sent by the host, and then controlling the hierarchical protocol processing unit to read target data of the storage device according to the read-write command and the read-write parameters, or controlling the hierarchical protocol processing unit to write the target data into the storage device; the command and data processing module is used for caching read-write commands, read-write parameters and upper computer data in FIFO (First In First Out) in a layered manner; and the test data processing module is used for testing whether the storage equipment reads and writes the data normally to obtain a test result. According to the method, the interface design is simple and clear, the delay is low, the data reading and writing function of the storage medium can be tested without intervention of a host or a CPU, and the method can be widely applied to the technical field of serial advanced technology accessory interface control.

The invention belongs to the technical field of network security, and provides an RDMA traffic DDoS attack detection method and system in an edge computing power network environment, and the method comprises the steps: extracting the traffic feature data of RDMA traffic through a PCC function module in a DPU network card; the PCC function module transmits the extracted flow characteristic data to an edge computing node for preprocessing; performing time sequence analysis on the preprocessed flow characteristic data by using a GRU algorithm model in the DPU network card, and judging whether the current RDMA flow belongs to a normal mode or not; and uploading the abnormal flow characteristic data to a cloud end, carrying out deep analysis by a cloud end server, and carrying out accurate identification on an attack type. According to the method and the device, the PCC module in the DPU network card is combined with the GRU algorithm model in the edge computing environment, so that efficient RDMA traffic DDoS attack detection is realized.

The invention discloses a precision machine tool thermal error compensation system based on digital twinning and an MSIFN network. The precision machine tool thermal error compensation system comprises a perception control layer, a function layer and an application layer. The sensing control layer is used for collecting temperature and displacement data of the machine tool in real time; the function layer comprises an edge layer and a cloud layer, and the edge layer is embedded into an MSIFN model and is used for predicting thermal errors based on real-time short-time thermal data; the cloud layer is used for training and updating the MSIFN model through long-time historical hot data; the application layer comprises a decision support module which is used for generating a compensation strategy according to the predicted thermal error and controlling the numerical control system to execute compensation; the MSIFN model comprises the following modules: an EMSENet module enhances key features and inhibits noise through a multi-scale channel attention mechanism; the SGCN module models a space relationship across timestamps through a full-connection sensor network and an attenuation matrix; the GRU-TCN module fuses the short-term dependency capture capability of the GRU and the long-term dependency modeling capability of the TCN, and integrates the spatial-temporal features through the feature fusion block.

The invention belongs to the technical field of aerospace, and discloses an aviation electrical system insulation detection device which comprises a shell and an overall frame serving as the insulation detection device. The display screen is used for displaying measurement data in real time; the function key group integrates the functions of measurement mode switching, data retention and insulation test starting; according to the conversion assembly, through the linkage design of the rotating disc and the rotating switch, the problem that functions cannot be switched when the two hands of a traditional insulation detection device are occupied is thoroughly solved, a worker only needs to rotate the rotating disc with the hand of supporting equipment, the rotating switch can be driven through the driving mechanism, switching of insulation test voltage gears is completed with one hand, and the working efficiency is improved. Compared with a traditional device which needs to frequently put down a connecting line and manually rotate a switch, the design simplifies the operation steps from three steps to one step, shortens the single function switching time, and remarkably improves the efficiency and safety of high-altitude operation or narrow space detection.

The invention discloses a nerve regulation and control method, device and equipment based on electrical stimulation and a storage medium. The method comprises the steps that metabolism image data, functional image data and anatomical image data of a detected person are acquired; based on the metabolism image data and the functional image data, respectively calculating the standardized uptake value ratio of each brain region of the detected person and the functional connection strength between each brain region and all other brain regions; on the basis of the standardized uptake value ratio of each brain region of the detected person and the functional connection strength between each brain region and all other brain regions, determining the abnormal characteristics of the brain of the detected person and the position data of a target spot; and time domain interference electrical stimulation parameters are set based on the position data of the target spot, the brain abnormal characteristics of the detected person and the anatomical image data. According to the method, the PET image data and the rs-fMRI image data can be combined and analyzed, the metabolism and function state of the brain of the detected person can be evaluated more comprehensively, and corresponding nerve regulation and control can be carried out based on the time domain interference electrical stimulation parameters.

A method includes ingesting by a set of computing nodes of a parallelized database, a dataset for storage therein. The method further includes formatting, by a lead computing node of the set, the dataset in a primary data format to produce a primary data formatted dataset, and storing the primary data formatted dataset in system state data. The method further includes receiving, by a first computing node of the set, a query request involving the dataset and a first data function, determining that the first data function triggers a first data conversion optimization, accessing the primary data formatted dataset from the system state data, converting the primary data formatted dataset from the primary data format to a secondary data format to produce a secondary data formatted dataset, and processing the secondary data formatted dataset in accordance with the first data function to produce a first function output.

The invention relates to a deadlock-free core grain routing architecture construction method and device and a processor, and the method comprises the following steps: constructing a multi-data flow network structure in a core grain: constructing an internal subnet which is used for transmitting data in the core grain, does not interact with the outside of the core grain, and comprises at least one routing node and a function module capable of receiving and transmitting data; an outbound subnet is constructed, is used for data transmission in the direction away from the core particles, and comprises at least one routing node, a data transceiving function module and a boundary router; constructing an inbound subnet which is used for data transmission in a core particle direction and comprises at least one routing node, a data transceiving function module and a boundary router; a transmission subnet is constructed, is used for data transmission of which the starting point and the terminal point are other core particles, and comprises at least one routing node, a transmission module and a boundary router; and preventing data transmission from deadlock in the core particles and / or among the core particles according to the multi-data flow network structure through a core particle interaction protocol.

Systems and methods for authenticating telecommunication network-based digital tokens are disclosed herein. For example, the system can receive a first token associated with a user of a first user device. The system can extract, from a unified data function, first profile information for the user. The system can store, via a network exposure function, the first token and the profile information. The system can obtain, from a second user device, a second token and second profile information. The system can determine whether the first token matches the second token. The system can determine whether the first profile information matches the second profile information. Based on determining that the tokens and the profile information match, the system can transmit, to the second user device, a token authentication message. Based on determining that the tokens and the profile information do not match, the system can transmit an authentication failure message.

The invention relates to the technical field of building information model optimization, in particular to a large-volume BIM model optimization system based on intelligent loading, which comprises a model analysis unit, a function identification unit, a simplified execution unit and a model recombination unit, and is characterized in that the model analysis unit reads an IFC file and separates component data; the function identification unit outputs a decoration component (first class) set, a non-bearing structure (second class) set and a bearing component (third class) set through geometric and semantic dual-channel analysis, the simplified execution unit performs edge folding on the first class, performs vertex clustering on the second class and skips simplification on the third class, and the model recombination unit binds metadata and constructs a dynamic octree index. The problems that a traditional simplification strategy is single and core information is lost are solved, the model loading efficiency and application precision are improved, and the method is suitable for complex building scenes.

The invention discloses a light and shadow scheme optimization method and system based on digital twinning and artificial intelligence, and belongs to the technical field of data processing, and the method comprises the steps: converting a user demand into a semantic vector, mapping a user intention vector to obtain a light and shadow control parameter, carrying out the simulation calculation of the light and shadow control parameter, and outputting a simulation image and a light and shadow physical index. Extracting key physical quantities in a light and shadow state from the simulation image, integrating to form a simulation feedback index, calculating a difference between a simulation semantic vector and a user intention vector, obtaining a semantic error vector, inputting the semantic error vector and a light and shadow control parameter, outputting an update quantity of the light and shadow control parameter, establishing a convergence data function, and obtaining a simulation result; and judging an optimization condition, terminating the operation when a preset scene is obtained, and outputting a final result. According to the light and shadow scheme optimization method and system based on digital twinning and artificial intelligence, a closed-loop adaptive optimization process is realized by constructing a linkage mechanism from semantic understanding and parameter reasoning to feedback correction.

The invention provides an interconnection system, an interconnection system data synchronization method and an electronic device, the interconnection system comprises a plurality of resource groups and a function convergence unit, and interconnection among the plurality of resource groups is established; each resource group comprises a plurality of data processing modules and a plurality of access units with different functions, and the plurality of data processing modules are interconnected and perform data interaction based on an interconnection relationship; the plurality of access units with different functions are respectively interconnected with the target data processing module according to a preset topological relation; and in response to the received data sent by the plurality of access units with different functions, the function aggregation unit manages the target data processing module based on the data. Compared with the prior art, the embodiment of the invention can realize the efficient integration and management of resources through the architecture of the plurality of resource groups and the function convergence unit, and improves the data processing efficiency and the resource utilization rate.

The invention discloses a computer software development data processing system based on big data, relates to the field of software development, and solves the problem that the computer software development data processing system is poor in application effect. Comprising a development data module used for obtaining the function resource occupancy rate and the function static complexity corresponding to each software function to obtain software development function data, and a resource investment module used for obtaining the fund investment degree corresponding to each software function to obtain fund investment data, the function concurrence module is used for obtaining function concurrence complexity corresponding to each software function to obtain function concurrence data, and the software deployment module is used for performing server selection and deployment on the computer software according to the software development function data, the fund investment data and the function concurrence data. According to the method, the scientificity and applicability of a computer software deployment result can be improved.

A government data analysis system that may aggregate the data of government entities in state and local education (SLED), such as K-12 schools, K-12 school districts, and higher education institutions, and process and store the data. The government data analysis system may provide, enable, or facilitate various functionality for the data, such as artificial intelligence-assisted research, analysis, procurement, compliance and other functionality. The government data analysis system may generate workspaces for users that combine data for numerous government entities in SLED that would otherwise be separate. Such data may include strategic plans, meeting materials (for example, school board agendas or meeting minutes), budgets, and contact information of the government institutions. The government data analysis system may analyze the data using artificial intelligence systems that include large language models (LLMs) in order to surface actionable insights, signals, and other information to users.

A system is provided.SOLUTION: This food management device is provided with a means for recognizing the kind, quantity and best-before date of food, a means for transmitting the recognized food data, a means for preserving the transmitted data and tracking the best-before date or preservation period, a means for generating a recipe based on the taste, physical condition, season, weather and economical conditions of a user, and a means for transmitting the generated recipe. The system includes a notification means, a means for confirming a deficient food material and automatically placing an order, a means for analyzing the nutrition balance of the user and generating advice for supporting healthy eating habits, a means for transmitting the generated advice, and a means for collecting the feedback of the user and updating data.SELECTED DRAWING: Figure 1

The utility model discloses a debugging and monitoring system for a power amplifier, and relates to the field of communication. The system comprises a signal acquisition module, an analog-to-digital conversion module, a data processing module, a function control module and a fault alarm module. The signal acquisition module is used for acquiring a working condition analog signal of the power amplifier; the analog-to-digital conversion module is connected with the signal acquisition module and is used for converting the working condition analog signal into a working condition digital signal; the data processing module is connected with the analog-to-digital conversion module and is used for receiving the working condition digital signal and outputting working condition detection data; the function control module is connected with the data processing module and used for controlling the working state of the power amplifier according to the working condition detection data; and the fault alarm module is connected with the data processing module and is used for controlling the power amplifier to stop working and sending a fault code to a lower computer. The power amplifier debugging system can realize automatic debugging of the power amplifier, reduce debugging workload and improve debugging efficiency.

A method for transmitting configuration data for a secure element is provided. The configuration data is generated in a secure element manager, and the method includes: protecting the configuration data using a set of over-the-air (OTA) keys associated with the secure element; and transmitting the configuration data using a second interface to a second server, the second server being configured to transmit the configuration data via a non-SMS communication channel. A communication network corresponding to the method is also provided. A method for receiving configuration data for a secure element at a host device is also provided. The method includes: receiving the configuration data using a data function for receiving the configuration data via a non-SMS communication channel; processing the configuration data using a SIM application toolkit; and forwarding the processed configuration data to the secure element. A host device according to the method is also provided.

The invention relates to the technical field of intelligent terminals, and discloses a smart phone and a method, and the smart phone comprises an interactive sensing module, a data fusion module, a function mapping module, a scene adaptation module and a strategy execution module. The interactive sensing module acquires touch pressure data (including contact area and the like), voice instruction data (including voiceprint features and the like) and gesture track data (including moving speed and the like) through multi-type sensors which are optimally deployed; the data fusion module obtains multi-modal interaction data through processing; the function mapping module analyzes the data to obtain a target function identifier and parameters; the scene adaptation module predicts a future scene type in combination with ambient light, a device position and user biological characteristic data; and the strategy execution module generates a function execution strategy and calls the hardware execution unit. According to the invention, the interaction accuracy and the intelligent level are improved, and the user experience is optimized.

The invention provides a software effectiveness measurement method and device, equipment and a storage medium, and belongs to the technical field of software development. The method comprises the following steps: processing data generated in a software research and development process into efficiency measurement data; identifying a data function and an interaction function of a reconstruction system associated with the demand of the software according to the efficiency measurement data; analyzing the data function and the interaction function to obtain the number of required function points, and determining the contribution proportion of the data function to the required function points according to the total number of newly added and transformed fields required for realizing the data function; determining the contribution proportion of the interaction function to the required function points according to the number of logic processing units for realizing the interaction function; calculating an efficiency evaluation index value changing along with the function point number according to the required function point number; and generating an efficiency measurement result of the software based on the efficiency evaluation index value. According to the method, more accurate software effectiveness measurement is realized.

This arithmetic system comprises an acquisition unit, a calculation unit (processing shape calculation unit), and a function unit. The acquisition unit acquires processing data obtained during processing of a workpiece by a tool included in a processing machine. The calculation unit (processing shape calculation unit) calculates shape data pertaining to the processing shape of the workpiece on the basis of the processing data acquired by the acquisition unit. The function unit performs a signal analysis on the processing data and the shape data.

The application relates to the technical field of communication equipment, and discloses a communication equipment twin modeling method, which comprises the following steps: acquiring running data, function data, environment data, communication data and abnormal data; constructing a first twin model; constructing a second twin model; constructing a third twin model; and self-checking the second twin model. According to the application, the running data, the function data, the environment data, the communication data and the abnormal data provide a data basis for constructing the first twin model and the second twin model; the first twin model is used for monitoring a single communication equipment; the second twin model is used for monitoring a set of equipment; the third twin model is used for integrating the monitoring data in the model; the second twin model is used for self-checking the equipment to update the single communication equipment that is not conducive to overall communication in the set of equipment. Finally, the communication equipment twin modeling is realized.

System and method secures critical data on distributed ledger (DL) or blockchain (Bchn) or linked memory cell (LCM) data construct. Each cell in DL / Bchn / LCM has cellular immutability and cellular connectivity characteristics. System randomly stores critical data in the DL / Bchn / LCM based with initial state function and stores nonsensical data in other cells based upon nonsensical initial state function which is inferior to the critical data function. The DL / Bchn / LCM has a stem, with stem cells, forking cells and branches with branch cells created by forking initial state function (sometimes triggered by cyber attacks, sometimes by new growth). Trees of DL / Bchn / LCM are formed as are forests of DL / Bchn / LCM trees. automatic information search operations (AISO) through data collections also grow stems and branches on the DL / Bchn / LCM trees. The AISO generates supplemental (Supple) data based on supple initial state function. Supple data is further dispersed and randomly stored in the DL / Bchn / LCM trees and / or forest.

The present invention discloses a blockchain-based IoT data acquisition system and method, comprising a gateway, a blockchain network, and on-chain users. The gateway is deployed with a decentralized oracle network node, an adapter, an IoT data analysis tool, and an edge computing microservices architecture. A management contract is deployed on the blockchain network. On-chain users deploy consumer contracts containing predefined variables to the management contract address, initiate requests to the management contract, write the request information to the blockchain event log, and receive IoT data aggregated according to aggregation rules. The present invention organically combines a decentralized oracle with an edge computing framework, enabling interconnection and batch deployment between blockchain and IoT. While expanding the data acquisition capabilities of on-chain smart contracts, it can also diversely connect existing blockchains with IoT, rapidly acquire off-chain data, and ensure data credibility.

A method for distributing communication resources between subfunctions of a function, executable on two or more executability levels, of a communication system for a vehicle. The method includes ascertaining a communication resource requirement of the function on a first executability level, provided by subfunctions of the function; checking whether the communication resource requirement is able to be met with available communication resources; if not, determining at least one of the subfunctions that is able, with the available communication resources, to provide only a second executability level that is restricted in relation to the first executability level; distributing available communication resources between the two or more subfunctions comprising restricting the available communication resources for one or more other subfunctions that differ from the at least one subfunction, so that the two or more subfunctions provide the second executability level of the function following the restriction.

The invention relates to an aero-engine design model updating method and device, equipment, a medium and a product. The method comprises the following steps: acquiring demand data corresponding to an aero-engine design; establishing a mapping relationship among the demand data, the function data, the physical model and the performance model corresponding to the aero-engine design process; and updating the function data, the physical model and the performance model based on the performance parameters output by the performance model, the preset performance index and the mapping relation. By adopting the method, the design efficiency of the aero-engine can be ensured.

The utility model provides a wireless ultrasonic device based on hardware image compression solves the problem of inconvenient transmission, low image data processing efficiency of traditional ultrasonic equipment. It includes probe, transceiver module, data acquisition module, FPGA treater, hardware compression module, wireless transmission module, mobile terminal, the FPGA treater is connected with transceiver module, data acquisition module, hardware compression module, wireless transmission module and mobile terminal electricity respectively, the probe is connected with transceiver module electricity, transceiver module is connected with data acquisition module electricity, mobile terminal carries out data transmission with FPGA treater through wireless transmission module, the hardware compression module has the compression processing function of ultrasonic image, mobile terminal has the decompression data function, decompression ultrasonic image and display. The utility model discloses through hardware compression module and wireless transmission module guarantee high speed, stable transmission of data, show ultrasonic image through mobile terminal simultaneously, improve the convenience of medical equipment.

Various systems and methods are described implementing a multi-access edge computing (MEC) based system to realize MEC application registration and application data functions for MEC frameworks. In an example, operations are performed at a MEC orchestrator to maintain a registry of applications within a MEC system or among a federation of MEC systems, with the MEC orchestrator performing operations including: identifying, based on the communications with a plurality of MEC hosts, a plurality of applications provided by the MEC hosts in the MEC system (or, by applications provided by a plurality of MEC hosts in a federation); storing and synchronizing application information for the plurality of applications in a registry; and communicating the application information from the registry to an entity of the MEC system or to an entity federated with the MEC system.

The invention discloses a configuration calibration method, device and equipment for low-speed unmanned vehicle chassis software and a medium. The method comprises the following steps: under the condition that the low-speed unmanned vehicle is electrified, if a whole vehicle configuration state calibration instruction sent by a controller local area network bus is received; analyzing the whole vehicle configuration state calibration instruction through a chassis controller to determine a function configuration state corresponding to the whole vehicle configuration state calibration instruction; wherein the whole vehicle configuration state calibration instruction comprises configuration state identification data, function configuration item mapping association data and instruction validity verification data; and controlling the low-speed unmanned vehicle to execute corresponding function configuration based on the function configuration state. The technical effects of simplifying the configuration calibration operation, reducing the number of software versions, reducing the development and maintenance cost and guaranteeing the configuration accuracy are achieved.

This disclosure provides a method and related products for genome sequence generation and model training. During the training phase, pre-trained multimodal data, including sequence data, functional annotation data, omics data, and species evolution information, is acquired. A fused representation is obtained through heterogeneous coding and multimodal fusion, and input into the sequence generation model for feature calculation, outputting the predicted base probability distribution for each base position to be generated. The model is optimized by combining a multi-task training mode of autoregressive generation and intermediate padding, and a weighted loss function based on biological annotation. During the inference phase, sequences are generated progressively based on multimodal generation context information. Candidate bases are obtained through sampling and evaluated using biological constraints, omics validation, structural validation, and functional validation. Resampling is performed when conditions are not met until preset conditions are satisfied. This method can improve the biological rationality and application value of the generated sequences.

The invention provides a multi-mode service cooperative communication method and device, electronic equipment and a storage medium, and relates to the technical field of communication, the method comprises the following steps: sending a first message to a user plane data function (UPF), the first message comprising quality of service (QoS) policy information; the QoS strategy information is used for indicating a link transmission strategy for transmitting at least one service flow in a multi-mode service to an augmented reality XR terminal, so that the XR terminal obtains the link transmission strategy for transmitting the at least one service flow in the multi-mode service based on the QoS strategy information, converged communication of XR multi-mode service cooperation is realized, and XR user experience is improved.