226 results about "Data function" patented technology

The invention relates to the technical field of chip design, in particular to a system-on-chip design method and system and a medium. The method comprises the following steps that a chip design target and basic parameters are collected, a constraint condition set is generated through demand constraint analysis, the basic parameters of a system are subjected to parallel recombination, functional prototype data are generated, the functional prototype data are used for chip behavior design, functional unit groups are generated, a network architecture is reconstructed to form a functional module network, and the functional module network is used for chip behavior design. And carrying out clock domain mapping and competition compensation processing based on the network to obtain a function scheduling sequence, carrying out resource matrix remapping on the basic parameters according to the function scheduling sequence, generating hardware abstract data, carrying out chip layout simulation, and finally generating a simulation chip blueprint. According to the system-on-chip design method, the more efficient system-on-chip design method is achieved.

An apparatus includes a memory and processing circuitry in communication with the memory. The processing circuitry is configured to apply, based on a positional encoding model, a first feature conditioning module to a set of bird's eye view (BEV) position data features corresponding to position data to generate a set of conditioned BEV position data features, and apply, based on the position encoding model, a second feature conditioning module to a set of perspective image data features corresponding to image data to generate a set of conditioned perspective image data features. The processing circuitry is also configured to generate, based on the positional encoding model, the set of conditioned BEV position data features, and the set of conditioned perspective image data features, a weighted summation. Additionally, the processing circuitry is configured to generate, based on the weighted summation, a set of BEV image data features.

A set of program instructions causes a computer to perform acquiring target image data indicating a target image including an object of an inspection target, inputting the target image data into an image generation model to generate first reproduction image data, generating first difference image data indicating a difference between the target image and a first reproduction image by using the target image data and the first reproduction image data, inputting the first difference image data into a feature extraction model to generate first feature data indicating a feature of the first difference image data, the feature extraction model being a machine learning model including an encoder configured to extract a feature of image data that is input, and detecting a difference between the object of the inspection target and an object of a comparison target by using the first feature data.

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 utility model discloses a DBC automatic test workstation, which comprises a test mechanism, a movable truss and a machine table, the test mechanism comprises a first test station, a second test station and a third test station, and the first test station, the second test station and the third test station are all installed on the machine table. The two ends of the movable truss are installed on the two sides of the machine table, the moving path of the movable truss is arranged above the first testing station, the second testing station and the third testing station, the movable truss is used for testing the bonded DBC module, the equipment can integrate various testing machines, and the testing efficiency is improved. Detection items such as safety testing, static testing and dynamic testing are automatically completed according to program setting, different testing processes can be achieved by calling testing programs, meanwhile, the equipment has the function of recording and storing testing data, the testing items are flexibly configured, and the testing efficiency is remarkably improved.

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 web application automatic testing method, which comprises the following steps: step 1, constructing an intelligent agent, processing a natural language request into standardized output through a prompt function, and enabling the standardized output to comprise an interface calling address; 2, the standardized output is sent to a textToAP I service, and the textToAP I service requests the interface calling address and obtains a state code of successful request; 3, after the node service receives the calling request, corresponding logic is executed, and meanwhile, a puppeteer component is called to achieve the needed function; and step 4, executing the operation of simulating the user by the puppeteer component, monitoring all xhr requests and recording the obtained data, and completing the automatic test of the web application. According to the method and the device, by understanding semantics and combining an existing AI field technology, web automatic access, test and data crawling functions are 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 provides an ammeter data VEE function implementation method and system based on a big data framework. The method comprises the following steps: pre-configuring a VEE rule table comprising more than two VEE rules; associating an electric meter with a VEE rule selected from the VEE rule table; and the Spark distributed computing framework verifies and estimates the current ammeter data according to a VEE rule associated with an ammeter corresponding to the current ammeter data, stores a result in a VEE result table, and writes alarm information into an alarm information table if the alarm information exists. According to the method, a big data technical framework is fully utilized, and VEE verification, estimation and data editing are synchronously carried out by adopting a distributed calculation mode, so that the efficiency, accuracy and reliability of ammeter data processing are remarkably improved; particularly, the flexibility of VEE rule configuration can be improved.

The invention discloses a control system for automatically wrapping a coil with an insulating tape, which relates to the field of power systems and comprises an image acquisition and processing module, a tape wrapping mechanism sensing module, an operation control module, a safety monitoring module, a data interaction module and a memory module. A multi-sensor network is combined to monitor the state of a taping mechanism in real time, track optimization and active-disturbance-rejection closed-loop control are utilized to ensure that taping is accurate and efficient, big data analysis is introduced to rapidly recognize and call control instructions of similar historical events, the control efficiency and accuracy are improved, and the taping accuracy is improved. The system also has visual monitoring and remote parameter adjustment functions and a cloud database historical data storage function; the limitation problem that a traditional automatic packaging system is only suitable for coils in regular shapes is solved, the efficiency, precision and safety of automatic insulating tape wrapping of the coils are improved, and intelligentization and automation of the production process are achieved.

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 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.

A data fusion system and a data fusion method that may effectively reduce redundancy and complexity after data amplification. The data fusion system includes a storage device and a processor. The storage device is configured to store a feature extraction module, a model building module, a model disassembly module and a data fusion module. The processor is electrically connected to the storage device. The processor is configured to execute the feature extraction module, the model building module, the model disassembly module and the data fusion module, and is configured to receive multiple form data. The feature extraction module extracts multiple feature data from the form data. The model building module performs a preprocessing operation on the feature data, and builds a prediction model. The model disassembly module disassembles the prediction model into multiple triples data. The data fusion module fuses the triples data into knowledge graph data.

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.

A data processing system for generating predictive maintenance models is disclosed, including one or more processors, a memory, and a plurality of instructions stored in the memory. The instructions are executable to receive a historical dataset relating to each of a plurality of systems, including maintenance data and operational data. The instructions are further executable to display one or more algorithm templates and one or more data features calculated from the operational data, in a graphical user interface. The instructions are further executable to receive a selection of an algorithm template, a data feature, and a value of a parameter associated with the algorithm template, and to train and evaluate the selected algorithm template on the selected data feature according to the received value. The instructions are further executable to display a result of a metric of the evaluation, and generate a predictive maintenance model using the selected algorithm template.

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.

The present disclosure involves systems, software, and computer implemented methods for transaction auditing. One example method includes receiving receipt data associated with an entity. Policy questions associated with the entity are associated with at least one policy question answer that corresponds to a conformance or a violation of a policy selected by the entity. For each policy question, a machine learning policy model is identified for the policy question that includes, for each policy question answer, receipt data features that correspond to the policy question answer. The machine learning policy model is used to automatically determine a selected policy question answer to the policy question by comparing features of extracted tokens to respective receipt data features of the policy question answers that are included in the machine learning policy model. In response to determining that the selected policy question answer corresponds to a policy violation, an audit alert is generated.

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.

Disclosed in the present invention are a post-quantum cryptographic algorithm processor and a system-on-chip comprising same. The post-quantum cryptographic processor comprises an instruction fetch unit, a decode unit, an execute unit and a write-back unit; the execute unit comprises a parallel computing unit module, and the parallel computing unit module uses a part recomposition technology and an operator fusion technology and thus can use a same part to realize core operation of different computing types and bit widths of a post-quantum cryptographic algorithm; the system-on-chip for running the post-quantum cryptographic processor comprises: a system bus, the post-quantum cryptographic processor connected to the system bus, a storage unit connected to the post-quantum cryptographic processor, an external device interface connected to the system bus and a cache active prefetching / pre-storing data functional module which is connected to the post-quantum cryptographic processor and is combined with a DMA; and the post-quantum cryptographic processor communicates with an external device by means of the external device interface, and performs data and instruction read / write on the storage unit. The present invention reduces the power consumption and resource overhead of systems, and improves the running speed of a post-quantum cryptographic algorithm.

Raw sensor data from a device of a user is collected. Trips from the sensor data are identified as raw trip data. Metadata for the trips is identified, linked to the trips, and maintained separately from the trip data. The trips are staged, and the corresponding trip data normalized when obtained from a storage or memory location. Normalized trip data is piped or made accessible to feature enhancing applications (apps), each app associating one or more features and events with a given trip. The features and events are maintained for the trips in event and feature level of detail tables. The tables are processed by consuming apps for purposes of updating user-level attributes associated with the user. In an embodiment, custom apps process the raw trip data to add additional features and events, which are directly integrated and updated in the tables for access by the consuming apps.

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 a charging method for a perception service, a communication device and a system, and relates to the technical field of perception. In the method, after a perception service control network element determines charging configuration information, the charging configuration information can be issued to a data function network element, and the data function network element performs charging processing on the perception service according to the charging configuration information, so that charging processing on the perception service can be supported.

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 utility model discloses an advertisement playing system based on a mobile power supply, which relates to the mobile power supply and comprises the mobile power supply and mobile power supply leasing equipment communicated with a server. The mobile power supply comprises a shell, a main control board and a display screen, the main control board is arranged in the shell, the main control board is a control board with a data caching or storing function, and the display screen is connected with the main control board and is exposed out of the shell; a main control unit, a cabinet storage unit, a wireless communication unit II and a data transmission unit I are arranged in the mobile power supply leasing equipment; the mobile power supply leasing equipment performs communication transmission with the server through a wireless communication unit II, and downloads and receives image and / or video data on the server; and the mobile power supply leasing equipment downloads and receives the image and / or video data and then stores the image and / or video data through the cabinet storage unit. According to the utility model, not only can pre-stored information be played, but also real-time information can be played, so that more choices are provided for a user, and the use impression of the user is improved.

The invention provides a data processing optimization method and device for a database, electronic equipment and a storage medium, and can be applied to the technical field of databases and big data. The method comprises the following steps: determining an original data set for grouping and aggregating each storage node, and screening out a target data subset from the original data set by using a hybrid sampling method; carrying out independent fragmentation on the target data subset by utilizing a Hash fragmentation algorithm, taking independent fragmentation results mapped to different processing nodes as independent data blocks, and carrying out initial data fragmentation on other data subsets in the original data set; calculating the average data volume of the initial data slicing results, re-fragmenting the initial data slicing results meeting a preset re-fragmenting condition on the basis of the average data volume, and taking the re-fragmenting result as a common data block; and performing mixed sorting on the independent data blocks and the common data blocks, and performing concurrent execution on a mixed sorting result through a multi-thread data function of the distributed database.

Embodiments of the present disclosure provide systems and methods for matching data entities across disparate datasets. One method may include generating a reference numeric vector for a reference data object and generating a plurality of match candidate numeric vectors for a plurality of match candidate data objects. The method may also include identifying a subset of match candidate data objects from the plurality of match candidate data objects and generating a plurality of data features based on a comparison between one or more reference object attributes corresponding to the reference data object and one or more matching object attributes corresponding to the subset of match candidate data objects. The method may also include identifying a match between the reference data object and a match candidate data object of the subset of match candidate data objects based on the plurality of data features.

A method for managing wireless device communications includes establishing active, persistent, and repetitive communications with a wireless device operating in a coverage area of a local wireless network. In an example, the local wireless network is an overlay to a portion of a macro wireless network. The repetitive communications include placing a call to the wireless device, completing a call connection to the wireless device, sending a message to the wireless device, receiving and processing a response to the message from the wireless device, and persistently repeating a call function of the placing a call, completing a connection, sending a response, and receiving and processing the response until a specified termination event. In an example, the termination event is a power off of the wireless device.A restricted device category may change dynamically. For example, a device 20 that incorporates a camera may be classified in the restricted category in some local wireless network applications (e.g., an operatic performance where photographs and video are prohibited) but classified as an allowed device in other local networks. Alternatively, a device having a camera may have its data functions locked to the local wireless network 10 but other functions (voice and text) are allowed.