231 results about "Data request" patented technology

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for controlling data access. One of the methods includes receiving, from a user device associated with an account, a request for data; accessing data from one or more data sources that includes, for each of a plurality of data types, corresponding data values; selecting, from the plurality of data types and using permissions data for the account, one or more data types that the account has permission to access; and providing, to the user device and for each of the one or more data types that the account has permission to access, the corresponding data values.

A first large language model (LLM) instance may be instructed to request data while being prevented from performing calculations using the data. A second LLM instance may be instructed to provide a response to the request for data based on a known complete data set. The response may be translated into a machine-readable response in a format configured for processing by a calculation engine. The calculation engine may process the machine-readable response, thereby generating a calculation engine output. A mismatch between the calculation engine output and a known result obtained using the known complete data set may be identified, and the instruction to the first LLM may be modified in response.

The application provides an industrial Internet of Things method and system based on edge computing, and relates to the technical field of industrial Internet of Things.The method comprises the following steps: through a historical welding data request of a welding robot edge node, including vibration, temperature and current parameter acquisition frequency, time period dynamic acquisition and statistical distribution rule analysis are carried out, and the number distribution of requests of welding quality analysis services and equipment state monitoring services in the next period is predicted.The application realizes real-time response of welding quality analysis through multi-dimensional data prediction and dynamic resource scheduling, generates a service deployment scheme of adaptive load change under the guarantee of millisecond delay and energy efficiency constraint by combining horizontal cooperation unloading and multi-objective optimization algorithm, and improves the edge computing reliability and service continuity of the industrial welding scene.

Provided are a method and apparatus for providing a network switching service to a user equipment. A method of a network apparatus for enabling a user equipment to switch a communication network between a public network and a private network by communicating with a subscriber apparatus, where the subscriber apparatus stores subscribed Network Slice Selection Assistance Information (NSSAI) of the user equipment and a network selection discriminator (NSD) at a subscriber profile, the network selection discriminator (NSD) indicates a network selected by the user equipment, the method may include receiving a registration request from the user equipment and transmitting a slice selection subscription data request to the subscriber apparatus; receiving the subscribed NSSAI from the subscriber apparatus, wherein as the subscribed NSSSAI, subscribed single (S)-NSSAI with at least one value is received; transmitting a registration response including allowed S-NSSAI based on the received subscribed S-NSSAI; and receiving a session establishment request including the allowed S-NSSAI from the user equipment and creating a session to one of the public network and the private network according to the allowed S-NSSAI included in the session establishment request.

The invention relates to a computer-implemented method for providing a medical finding to a requesting entity, the method comprising a plurality of steps. A step is directed to obtaining at an evaluating entity, medical image data from a requesting entity, the requesting entity being remote from the evaluating entity. Another step is directed to determining, at the evaluating entity, at least one medical finding based on the obtained medical image data. Another step is directed to generating transmission image data. Another step is directed to embedding at least one of the determined medical findings as text in the transmission image data. Another step is directed to providing the at least one medical finding to the requesting entity by means of transmitting the transmission image data to the requesting entity.

A dynamic data loading method, a graphics processor, and a readable storage medium are disclosed. The dynamic data loading method includes: responding to a received data request, detecting the current operating mode of the caching module; the current operating mode is either a first mode or a second mode, where in the first mode the data request reads data in units of cache lines, and in the second mode the data request reads data in units of sub-blocks within a cache line; performing cache line miss detection based on the data request; in the current operating mode, determining whether to perform a cache line swapping operation based on the miss detection result; responding to the determination that a cache line swapping is triggered, performing the cache line swapping operation, and determining whether there is a need to switch operating modes; and determining whether to switch the current operating mode based on the number of times the cache line swapping operation is performed in the current operating mode and the number of times there is a need to switch operating modes. This solution can improve the performance and hit rate of the caching module.

A memory system includes at least one memory device and a controller. The controller includes an input path for transferring a data input / output (I / O) request input from an external device to the at least one memory device and an output path for transferring a response corresponding to the data I / O request. The controller is configured to selectively couple the output path to the input path for a post package repair (PPR) operation.

The present application relates to a kind of firmware upgrade method and firmware upgrade device, the method includes: receiving upgrade instruction and responding, current firmware offset is set to initial value, and sends firmware data request to first base station;Upgrade instruction carries the firmware identifier and firmware data amount information of the firmware to be upgraded;Firmware data request carries firmware identifier and current firmware offset;Receive firmware data block;Firmware data block is written into corresponding storage area, and current firmware offset is updated based on firmware data block;Updated current firmware offset is not less than firmware data amount information, based on all firmware data that has been written, execute firmware integrity check;And in check success executes restart operation to load and run new firmware, realize the orderly, continuous, reliable firmware upgrade of large-scale terminal in mobile scene, significantly improve upgrade efficiency, success rate and system overall resource utilization.

The application provides a computer network monitoring system and method. First, a network security risk graph integrating logical dependencies and vulnerability attributes is constructed, and potential attack chains are deduced and their dynamic risks are evaluated based on the network security risk graph; then, data request sequences of key nodes on the potential attack chains are monitored to identify suspicious behaviors based on dynamic behavior portraits. Then, the identified suspicious behaviors are combined with the dynamic risks of the corresponding attack chains to determine the attack stages of attack activities; finally, based on the determined attack stages, enhanced monitoring is started on related network links and decoy nodes are deployed, and hierarchical alarms are triggered according to attack interaction features captured by the decoy. The above scheme can realize dynamic evaluation and hierarchical response of potential attack chains based on a network security risk graph.

Embodiments of the present disclosure relate to the field of processor hardware architecture, and provide an artificial intelligence chip and a computing system. The artificial intelligence chip comprises a first computing core, a shared memory device corresponding to the first computing core, and a data synchronization device. The first computing core is configured to issue a first data request instruction. The data synchronization device is configured to perform a read operation on first data, a flag detection operation, and a synchronization operation according to the first data request instruction. The first data is stored in a global memory device coupled to the artificial intelligence chip. The synchronization operation comprises sending the first data to the shared memory device. The shared memory device is configured to store the first data sent by the data synchronization device for reading by the first computing core. Embodiments of the present disclosure hardwareize data synchronization and retry, significantly reduce communication delay, and release core computing resources of the artificial intelligence chip.

The disclosure provides an apparatus, system, and method that augments the typical processing by a storage controller for obtaining data. An augmented data controller is disclosed that provides augmented instructions to a storage controller to improve the processing of data requests, such as fine-grained data requests. The augmented data controller provides improved features for processing data requests, such as a request format that groups a set of commands from a requesting agent to the storage controller, and / or groups a set of responses from the storage controller for the requesting agent to process. Semantic guidance for data storage is provided and interaction with the storage controller is extended to support a hierarchical protocol that aggregates across multiple requests. With the augmented storage controller, additional information can be tracked, such as a set of memory regions and sets of data requests.

This invention provides a method, apparatus, and electronic device for sharing structured agricultural government data, belonging to the field of trusted data sharing. The method includes: a first agricultural department generating an enhanced content identifier for the structured agricultural government data; when a second agricultural department initiates a data request for the structured agricultural government data, parsing the enhanced content identifier to obtain agricultural government attribute data and content hash data; performing management attribute verification on the second agricultural department based on the agricultural government attribute data; and, if the management attribute verification passes, using the content hash data to perform integrity verification on the structured agricultural government data. Only legitimate requesters who pass the management attribute verification can continue with subsequent data integrity verification and access, achieving secure and controllable data sharing.

Methods and systems for managing data are disclosed. Data may be stored in a database based on a likelihood that the data is to be read from the database. Data may be stored as a reduced-size representation of the data if the data is unlikely to be read from the database. Some requests for data may be associated with timeliness requirements. If data associated with a timeliness requirement is stored as a reduced-size representation, a likelihood of violating the timeliness requirement while reconstructing the data may be increased. Therefore, data that is likely to be requested may be stored in a reconstructed full-size form in a cache of the database. By doing so, the reconstructed full-size forms of the data may be retrieved from the cache and used for providing computer-implemented services in compliance with timeliness requirements for the data.

Systems and techniques are described for wireless communications. For example, a first device can receive, from a second device, a request for data. The request includes an indication of an extended amount of time for responding to the request with a response comprising an acknowledgement of receiving the request and the data. The first device can determine, based on receiving the request, whether the response comprising the acknowledgment and the data can be transmitted by the first device within the extended amount of time.

This invention provides a method, apparatus, and electronic device for proactive data push, applied in the field of media data transmission technology. In response to a client's media resource request, this invention generates a security authorization token containing media data version information and sends it to the client. During the connection handshake phase, it receives and parses an early handshake message carrying the authorization token. After verifying the token's validity, it retrieves the corresponding first frame data from a local read-only cache based on the version information, encapsulates it into an application-layer payload with an early data identifier, and proactively sends it to the client via a streaming frame during a zero round-trip latency phase. This advances the media data request process to the connection handshake phase, eliminating at least one round-trip delay, effectively improving the opening speed of the first frame of the media stream, and optimizing the user experience.

Systems, methods, and devices for zero-extraction transform load (ETL) based data analysis are provided. In one or more examples, the systems, devices, and methods include generating a data request for at least a subset of data stored in a database; converting the data request to an object storage request; based on parsing the object storage request, determining that the object storage request includes an extraction transform load (ETL) request; creating an ETL command based on the object storage request; routing the ETL command to a storage device based on the storage device including at least one ETL function requested in the data request; and determining information from result data received from the storage device in response to routing the ETL command to the storage device.

The invention is a computer implemented method for providing either anonymously or in a person-attributed manner personal data, offered by data subjects (10), to data requesting entities (20). The method comprising the following: making available anonymous data records (100) to the data requesting entities (20) by collecting, in a data store (30), the anonymous data records (100) generated by the data subjects (10), making available data request records (101) to the data subjects (10) by also collecting, in a data store (30), the data request records (101) generated by the data requesting entities (20), and making available data provision records (102) to the data requesting entities (20), by also collecting, in a data store (30), the data provision records (102) generated by the data processing systems (11) . The invention is furthermore a computer system carrying out the above method, a computer program, and a computer-readable storage medium.

This invention belongs to the fields of computer technology and on-demand delivery technology, and provides a method, device, and electronic device for analyzing rider learning curves based on causal inference. The method includes: sending a data request carrying rider identification to an on-demand delivery platform via a data interface, and receiving multiple completed order data for riders corresponding to the rider identification; constructing a theoretical rider learning curve model, wherein the theoretical rider learning curve model uses the total delivery time in the completed order data as the dependent variable, the cumulative number of orders as the independent variable, and at least one of seven factors—delivery distance, order price, restaurant waiting time, temperature, humidity, visibility, and wind speed—as control variables; solving for the model parameters of the theoretical rider learning curve model using multiple completed order data and storing them in a database in association with the rider identification; calculating and outputting the rider's learning rate based on the model parameters. The introduction of a learning curve effectively depicts the growth trajectory of the rider's learning process.

Embodiments of the present application provide an information processing method, device, electronic equipment and storage medium. The method comprises: providing a navigation panel on a graphical user interface; displaying a multi-level navigation list generated according to a focus item in the navigation panel, the focus item including content items of different levels set in advance; obtaining lower-level content items of the focus item or interaction data of the focus item based on the level to which the focus item belongs; displaying prompt information for the focus item based on the interaction data, the prompt information being used to indicate an interaction trend and / or real-time interaction dynamics of the focus item; and displaying a function interface corresponding to a target focus item in the multi-level navigation list in response to a triggering operation on the target focus item. Through the disclosed scheme, the problem of low positioning efficiency in a multi-level list is effectively solved, the human-computer interaction efficiency is improved, and the resource occupation and data processing pressure of the terminal and server are reduced due to the reduction of unnecessary interface rendering, data request and processing.

This application provides an oil and gas exploration spatial database system and a spatial data management method, relating to the field of database management technology in petroleum seismic exploration. The system includes: a data interface that receives various data requests from the oil and gas exploration business system; a unified object wrapper that encapsulates different types of spatial objects, identifies and parses the attribute information of each spatial object, converts it into a database-recognizable format, and restores it to the original spatial object type during data output; a data driver that interacts with the underlying database and executes data operation instructions; storage and retrieval of spatial data based on attribute information; a model object table structure that stores oil and gas exploration spatial data; an extended database that uses PostgreSQL as the underlying database and integrates PostGIS extensions; and a feature synchronization process that synchronizes spatial data features from the original table to a feature table, monitors changes in spatial data in the original table in real time, and updates corresponding information in the feature table in a timely manner, significantly improving the efficiency and quality of seismic exploration data synchronization and management.

A system for monitoring server and application events, metrics or topology of an airport management system in a cloud infrastructure environment. The adapter can be coupled to a vROPS API of the cloud infrastructure environment and arranged to issue requests for data to the network via the vROPS API. The adapter can include a means for issuing multiple initial requests. The adapter can include a means for receiving initial responses to the multiple initial requests. The adapter can include a means for issuing multiple subsequent requests in response to each initial response. The adapter can include a means for receiving subsequent responses to the subsequent requests. The adapter can include a means for processing the subsequent responses related to each resource ID to provide events, metrics or topology information. The adapter can include a means for delivering the events, metrics or topology information to a user display system.

The application relates to the computer technical field, in particular to a data privacy protection method and device, a storage medium and computer equipment.The method comprises the following steps: receiving a data query request sent by a data request subject; extracting a multi-dimensional risk feature vector of the data query request; obtaining a risk score of the data query request by a target risk prediction model corresponding to a subject category to which the data request subject belongs based on the multi-dimensional risk feature vector; generating an original query result according to the data query request; performing different deformation processing on the original query result based on the risk score, and sending the original query result after the deformation processing to the data request subject.The application balances data privacy protection and data availability through dynamic risk scoring and different data deformation strategies.

A method, computer program product, and computer system for receiving, at a computing device, a request for data from a client electronic device. It may be determined that the data is not currently available upon receiving the request for the data. It may be determined that an event associated with the data has been triggered, wherein the event indicates availability of the data. A message containing the data may be transmitted to the client electronic device, wherein the message containing the data is asynchronously transmitted to the client electronic device based upon, at least in part, triggering of the event.

The application relates to a network abnormal behavior protection method and device, computer equipment, a storage medium and a computer program product. The method can be applied to the field of cloud security technology, for example, to a scenario of protecting a customer server through a cleaning center and a cloud server; the method comprises the following steps: receiving a data request corresponding to a target network segment forwarded by a network operator; obtaining protection information corresponding to a network address and generated by the customer server according to business requirements; performing data cleaning on the data request based on the protection information to obtain a cleaned data request; sending the cleaned data request to the cloud server to instruct the cloud server to perform data filtering on the cleaned data request according to the protection information, obtain a target data request after filtering out data requests of an abnormal behavior type, and send the target data request to the customer server. The method can improve the protection effect of network abnormal behavior.

This application proposes a data request processing method and an electronic device, relating to the field of application multi-version compatibility technology. The data request processing method includes: first, determining the application version information based on a received client data request; then, obtaining a target DSL configuration file for the application matching the version information; and finally, executing the data request using the target DSL configuration file to obtain the target data and return it to the client. This technical solution can improve the development speed of new versions and reduce the maintenance burden of multiple version applications within the server in scenarios requiring application multi-version compatibility.

This invention discloses a method and device for multi-target data storage in a fast interference DRFM system, relating to the field of radio frequency digital signal storage equipment technology. Based on the data read request issued by the DRFM system, the method first outputs the pre-stored data segments in the Block RAM storage space, then sequentially outputs the pre-stored data segments in the FIFO storage space. After the pre-stored data segments in the FIFO storage space are read and output, the remaining data segments are read from the DDR module and output to the FIFO storage space until all data segments of the target data are read. The method uses the FPGA's internal Block RAM and FIFO storage space as a two-level delay buffer for data, and dynamically prioritizes the target data, effectively solving the problems of simultaneous multi-target data storage and fast interference response time in the DRFM system.

The application discloses a data processing device for LDPC code layered decoding, which comprises a configurable computing unit capable of switching between row update mode and column update mode, a storage system physically divided into multiple independent storage banks, an address generation unit and a control unit. The address generation unit is configured to map access addresses of parallel data requests to different independent storage banks, and the control unit is configured to schedule column update tasks to be performed first and then closely related row update tasks in a decoding layer, wherein the row update tasks directly read the latest variable node messages generated by the column update tasks. The application guarantees the immediate reuse requirement of the layered decoding algorithm for the latest messages by constructing a high-bandwidth parallel data access path, eliminates the memory access bottleneck, and thus can fully exert the performance advantage of the layered decoding algorithm to realize high-throughput decoding processing.

The present disclosure relates to systems, methods, and devices for providing a centralized data store that receives and transmits data via agents that operate independently of one another. In some implementations, the agents transform data prior to transmission to the centralized data store. In some implementations, the centralized data store is configured to transform data. The centralized data store can evaluate, route, score, and otherwise manipulate and select received data. The centralized data store can respond to data requests based at least in part on its evaluation of received data.