65 results about "Data Property" patented technology

The present application relates to the technical field of federated learning, in particular to a federated learning-based information big data privacy protection collection method and system, comprising the following steps: calculating a privacy sensitivity coefficient according to data attributes, perturbing and recombining a privacy gradient according to the coefficient, calculating gradient bias variance to construct a node contribution table, performing secure weighted aggregation based on the contribution table and the privacy gradient, calculating an encryption parameter to generate a global ciphertext parameter set, updating a global model and constructing a privacy feedback table.In the present application, the sensitive coefficient is used to replace the original feature field operation by regulating the perturbation limit in the training stage, the underlying sample hidden distribution is maintained to completely block the security collapse caused by the aggregation of plaintext, the evaluation system is constructed by calculating the cross-period bias variance to perform weighted aggregation, the weight of the heterogeneous terminal is balanced to correct the evolution direction deviation, the dynamic encryption parameter is injected into the global sequence to establish a ciphertext lossless defense line to resist flow disassembly interception and monitoring.

The application discloses a system construction method for realizing CAD model security and data property right identification management, and realizes automatic identification management of UG / NX model security and data property right classification based on a PLM system.The technical scheme comprises the following steps: step 1: security classification label, that is, determining the security label of the model through a security review process node; step 2: intellectual property right classification label, that is, determining the intellectual property right label of the model through an intellectual property right review process node; step 3: specifying the corresponding label based on an improved document review process of product life cycle management of an enterprise; step 4: remotely transmitting the label information embedding program to a task queue server, that is, triggering the embedding program to remotely transmit the label information and related model information to the task queue server after the review is completed; and step 5: automatically writing the label into the server based on UG / NX secondary development technology, so as to write the label information into the UG / NX model.

The present application relates to the field of computer data security and encryption technology, and particularly relates to a cloud government affair sensitive data encryption protection method.A cloud government affair sensitive data encryption protection method comprises the following steps: S1: obtaining a full-amount data asset composition original data set in a target cloud government affair environment, and determining a data attribute combination set according to the original data set; S2: constructing a data set for statistical analysis based on the original data set, and performing sensitivity calculation on the data attribute combination set according to the data set to obtain a sensitivity calculation result.The present application realizes accurate classification and encryption of government affair data by dynamic sensitivity evaluation and file classification, and constructs a joint sensitive probability model; and the present application combines a basic protection and a strategy inheritance double architecture, dynamically adjusts a key, and effectively improves the protection capability of temporary and time-effective files and cloud self-adaptability.

Embodiments can relate to techniques for comparing and evaluating data from disparate data sources and / or data streams. The technique can involve receiving data from at least two disparate data sources and / or data streams (the data including object movement information). The technique can involve abstracting data and generating data sets representative of an attribute of an object, generating normalized data sets, aggregating normalized data sets based at least in part on time windows spanning between attributes of abstracted data, which can be stored. The method can involve retrieving data from the aggregated data sets and comparing the retrieved data to benchmark data representative of at least one or more of a standard, a pattern, or a statistic of an attribute of at least one or more objects. An output representative of the comparison can be generated.

The present application relates to a multi-modal identification method and apparatus for a hazardous liquid, and a computer program product. The multi-modal identification method for a hazardous liquid comprises: for image data of CT imaging, generating text data describing attributes of a hazardous liquid, the attributes comprising at least a liquid composition and a container material; using an image encoder to encode the image data to obtain a visual vector; using a text encoder to encode each attribute in the text data to obtain a text vector, and storing the text vector in a text vector library; and, for image data for training, using the visual vector and the text vectors to train a multi-modal model for identifying a hazardous liquid. The multi-modal identification method and apparatus for a hazardous liquid of the present application can take into account the influences of container material, liquid composition, etc., in a CT scan image, thereby improving the accuracy of identifying a hazardous liquid.

A tree database includes nodes organized as one or more tree data structures. The nodes contain both function and data properties in the form of script files in an interpreter environment. The database is event-driven. Responsive to an event, a node can spawn a new child node in the tree, which contains a data item associated with the event, enabling the tree database to grow as events and data arrive. Query events, initialization, and purging are also supported. Example applications of a communication appliance, an educational quiz, and a music database are provided.

A natural language processing system may use system response configuration data to determine customized output data forms when outputting data for a user. The system response configuration data may represent various output attributes the system may use when creating output data. The system may have a certain number of existing profiles where a profile is associated with certain settings for the system response configuration data / attributes. The system may also use various data such as context data, sentiment data, or the like to customize system response configuration data during a dialog. Other components, such as natural language generation (NLG), text-to-speech (TTS), or the like, may use the customized system response configuration data to determine the form, timing, etc. of output data to be presented to a user.

------18 / 05 / 2565------(OCR) This invention provides a system for processing and analyzing data by a component analysis (CAC) configurator for generating system reports, including an electronic user interface configured for receiving a set of information from the user, a large data repository storing a number of data attributes, layers of base data sets defining essential elements embedded throughout data structures that emphasize that a number of data attributes and data structures are specified using functional objects, thus enabling the user to define a number of components where the base data set is specified from the large data repository based on the information, a processor configured for processing information using at least one decision tree data model to extract a number of data attributes from the large data repository, and a controller connected to the processor and encoded with instructions that enable the controller to function as a bot for controlling various system components for data processing and analysis;A definition processor configured for collecting data definitions related to a number of attributes and storing these data definitions in a data definition database; and an execution processor configured for generating at least one query based on the data definitions and extracting a number of reports based on these queries from a large data repository, where at least one report is generated based on the extracted data (Figure 1). ------------ This invention provides a system for processing and analyzing data using a data arranger. The component analysis (CAC) model for building system architectures includes interfaces. An electronic user configured to receive a set of information from users, storage area. Big datasets store a number of data characteristics, layers of base data sets for definition. The essence is embedded throughout the data structure, emphasizing the importance of data characteristics. Numbers and data structures are specified using functional objects, thus enabling users to... This will define a number of components where the base dataset has been specified from a large data storage area. Based on the information, the processor is configured for processing information using... At least one decision tree data model is needed to extract a number of data features. From the large data storage area, the system also includes a controller that is made to connect to the processor and... It is encoded with commands that allow the controller to function as a bot for various control purposes. System components for data processing and analysis; data processors. A structured definition for collecting data definitions related to a number of attributes. And the storage of data definitions in a database of data definitions; and the processing unit for performing the actions. It is structured for constructing at least one question based on data definitions and data separation. In a number of reports, based on queries from large data archives, at least according to... The report was created based on the extracted data. Figure 1;

The application relates to the field of data analysis, and provides a data sampling method based on data modeling, a device and a storage medium.The method comprises the following steps: obtaining a data sampling requirement, the data sampling requirement comprising data attributes and a sampling quantity; comparing the data attributes with preset statistical attributes to obtain target attributes and non-statistical attributes; extracting target data corresponding to the sampling quantity from a preset bitmap index according to the target attributes; randomly generating virtual data of the sampling quantity according to the non-statistical attributes; and combining the target data and the virtual data to obtain sampling data, each piece of the sampling data comprising target data corresponding to the target attributes and virtual data corresponding to the non-statistical attributes. The target attribute data meeting the data sampling requirement is quickly generated in the form of the bitmap index, and the data of the non-statistical attributes is generated in a random manner, so that the data requirement and the quantity requirement of the data sampling are met, and the sampling efficiency is effectively improved, and the reliability of the sampling data is ensured.

Apparatus for ensuring data accuracy and related methods include a processor and a memory connected to the processor, wherein the memory contains instructions configuring the processor to receive a data structure with a plurality of data attributes, validate the data structure, using a validation machine-learning model, by comparing each data attribute of the plurality of data attributes against at least a validation metric, identify an error by identifying at least an erroneous data attribute as a function of the validation, display, using a user interface, an annotation as a function of the error, wherein the annotation comprises an indication of rationale, generate at least a substitute data attribute for replacing the at least an erroneous data attribute, receive supplemental input in response to the at least a substitute data attribute, and update the data structure by resolving the error as a function of the supplemental input.

This invention discloses a method and system for inserting and displaying inline checkboxes based on Tipta. The method includes: S1: Registering a custom inline node as a checkbox node with data attributes in the ProseMirror Schema of the Tipta editor; S2: Defining a NodeView rendering function to render the checkbox node as an HTML checkbox element containing data attributes and binding a state change event; S3: Calling a command in the Tipta editor to update the checked state attribute of the checkbox node atomically through the ProseMirror Transaction mechanism and adding the state change to the undo stack; S4: Registering addNodeView() to map the checkbox node to an interactive NodeView rendering function; S5: When exporting HTML, exporting the NodeView rendering function to generate an HTML string containing custom data attributes; S6: When displaying, using addProseMirrorPlugins to identify the checkbox element in the HTML, converting it back to a checkbox node, and restoring it to the checked state, thus achieving inline embedding of the checkbox.

The application discloses a data table partition method and device, a storage medium and a computer device, relates to the technical field of databases and the financial field, and mainly aims to solve the problem of high data table partition time and resource cost. Mainly comprising the following steps: in response to a data table partition request of target business data, a first data table in which the target business data is located is determined from a database; a second data table is created based on target business data attribute information, preset business data partition attributes and preset partition parameters, the second data table comprises a target table partition and at least one non-target table partition; a partition exchange process is performed on the target table partition in the first data table and the second data table, the second table name of the second data table after the partition exchange process is updated to the first table name of the first data table, and a target partition data table of the target business data is obtained. The application is mainly used for converting a non-partition table into a partition table.

This invention discloses a data transmission method, system, and apparatus based on neural networks, applied in the field of computer data transmission technology. The method includes: determining an environmental parameter set for a transmission scenario between a sending end and a receiving end in response to a transmission request signal; scoring multiple preset candidate encoding schemes based on the environmental parameter set and a data attribute table, and determining a target encoding scheme from among the candidate schemes; encoding the target data according to the target encoding scheme to obtain a first encoded image; displaying the first encoded image through a display component, enabling the receiving end to scan the displayed first encoded image using a scanning component to obtain the target data, and then sending the target data to a second-level network terminal. This achieves dynamic determination of the encoding scheme to complete the data transmission process, achieving adaptation between the encoding scheme and the target data, and improving data transmission capability and anti-interference capability.

This disclosure relates to the technical field of computers, and in particular to a business management system, method, apparatus, device, storage medium, and product. The system includes an RFID tag, an RFID acquisition module, and a data processing module. The RFID tag is attached to the pigtail of a dummy resource. The RFID acquisition module is connected to the pigtail of at least one dummy resource with an RFID tag via an interface. The RFID acquisition module and the data processing module are connected. The RFID tag is used to acquire and record attribute data of the dummy resource. The attribute data is used to indicate the service information and optical path activity information executed by the dummy resource. The RFID acquisition module is used to read the status data of the connected dummy resource and the attribute data through the transmission channel between the interface and the pigtail, and to mark the status data based on the attribute data, and send the marked status data to the data processing module. The data processing module is used to process the marked status data to obtain the target status data of the dummy resource.

This invention relates to the field of data risk classification and control technology, specifically to a data verification method, device, and system for a risk classification and control system. The method analyzes the historical changes of multidimensional risk classification data acquired from the same area of ​​responsibility to obtain the anomaly rate of the multidimensional risk classification data. Then, it analyzes the consistency of the anomaly rates of multidimensional risk classification data acquired from different sources within the same area of ​​responsibility and at the same time, verifying the multidimensional risk classification data. Finally, it adjusts and corrects the multidimensional risk classification data based on the verification results, and performs risk classification and control based on the adjusted multidimensional risk classification data. This method uses cross-validation based on the consistency of the anomaly rates of multidimensional risk classification data from different sources to avoid data anomalies caused by inconsistent attributes of multidimensional risk classification data from different sources for the same event, thus improving the accuracy of the verification results.

The present disclosure provides a method, device and equipment for establishing a data contributor based on joint learning. The method comprises: determining the number interval range of the contributors according to the received data of the participants, and constructing a plurality of data contributors according to the number interval range of the contributors; based on the data of the participants, calling the data attribute range matched with the data, using the data attribute range to generate corresponding configuration information for each data contributor, and constructing the behavior strategy corresponding to each data contributor; when executing a data regulation task, establishing a communication channel between the data contributor and other participants, and generating a contributor object corresponding to each data contributor according to the configuration information and the behavior strategy, and executing the data regulation task based on the contributor object. The present disclosure can simplify the creation process of the contributor, reduce the labor cost, and improve the creation efficiency of the contributor in the simulation platform.

The application provides a system and method for multi-angle examination and evaluation of engineering contractors and employees, which can instantly manage and record multi-aspect data related to the examination of the contractors and employees, determine examination results by using corresponding examination models according to examination requirements, provide data display services and examination result output services matched with instructions in response to the operation of users, identify data attributes and decide storage paths based on received data, decide management action signals based on received instructions, distribute and store multiple data, support real-time data state updating in response to management action instructions, and form prompt instructions according to set rules on data state information. The system can overcome the defects of the prior art, such as complicated data entry, limited application range of evaluation and analysis, and insufficient reliability, form a comprehensive business data examination and management system for engineering contractors and employees, and provide business monitoring and credit repair and update services based on examination data.

This application relates to a traffic detection method, apparatus, device, and medium based on graph convolutional networks. The method includes: determining at least two directed edges and corresponding data packets based on the source and destination addresses of data packets in the target network within the current time window; for each directed edge, determining its directed edge features based on the data attribute information of the corresponding data packets; constructing a current directed graph based on these features; and processing the current directed graph using a target inference model to obtain the target traffic detection result. The starting point of each directed edge is the source address, and the ending point is the destination address. The target inference model is obtained by training a graph convolutional network using sample directed graphs and the corresponding actual traffic detection results. This method can improve the security of network operation.

The present application relates to the technical field of data security encryption, in particular to a data security encryption method based on a smart campus cloud platform, which comprises the following steps: receiving a data processing request carrying an original data file and preset metadata tags thereof; matching a target encryption security level and encryption control parameters based on a tag query security policy library; starting a multi-channel encryption key generation engine to generate a core working key, a data integrity check key and an access session key after verifying that a user identity attribute meets an access condition; using the core working key to block and obfuscate encode the original file to form a timestamped intermediate encrypted data block; using the integrity check key to calculate an overall hash value and generate a to-be-encapsulated ciphertext package; and finally using the access session key to perform secondary encapsulation to form a final ciphertext stream. The present application realizes dynamic adaptation of encryption strength according to data attributes, and completes integrated security processing of encryption, integrity protection and session control through multi-key cooperation.

The system uses a generation AI to modify document data and generate a database. The information processing device includes: an identification unit that identifies a search range for the database based on the attributes of the document data to be processed or the analysis results obtained by analyzing the content of the document data to be processed; a search unit that searches for document data corresponding to the document data to be processed from the identified search range; a modification unit that instructs the generation AI to modify the document data to be processed using prompts that designate the document data to be processed as the document data to be modified and the reference document data generated based on the searched document data as the document data to be referenced during modification; and a storage unit that updates the database by adding information based on the analysis results to the document data to be processed modified by the generation AI and storing it in an area within the database corresponding to the attributes of the document data to be processed.

This invention discloses a data security processing method, system, device, and storage medium, relating to the field of information security technology. The method includes: performing semantic analysis on the data to be processed to extract feature information characterizing data attributes; calculating a risk quantification result of the data to be processed based on the feature information and preset risk assessment parameters; generating corresponding security control instructions based on the risk quantification result; and performing risk-matching security processing on the data to be processed before persistent storage according to the security control instructions, to obtain securely processed data. By performing risk assessment, security marking, and encryption decisions at multiple stages during data persistence, this invention ensures that the data is always protected on the storage medium; and systematically solves the shortcomings of existing technologies in terms of protection accuracy, real-time processing security, and dynamic policy adaptability.

This invention relates to the field of artificial intelligence technology, providing a method for multi-agent collaboration and dynamic UI interaction based on a streaming protocol. The method includes: a backend multi-agent orchestration layer coordinating at least two agents with different roles to execute tasks; encapsulating the interactive content output by each agent into AG-UI protocol data packets; and pushing these packets to the frontend in the order of task execution via a streaming protocol. Upon receiving the AG-UI protocol data packets, the frontend parses the component identifiers and data attributes within them, dynamically loads and renders the corresponding UI components, and listens for user interactions on the UI components. The frontend encapsulates the modified component state data and corresponding action identifiers together into structured feedback data and sends it back to the backend. The backend then converts the user's interactions into context information for the agents based on the structured feedback data. This invention enables visualization of the multi-agent collaboration process, dynamic backend control of frontend UI components, precise structured human-machine closed-loop feedback, and dynamic decoupling of agent roles from UI components.

The present application relates to the technical field of Internet of Things data security storage, in particular to a conference data security storage method and system based on Internet of Things, comprising: collecting heterogeneous conference data streams through an Internet of Things gateway, generating a single data sensitivity classification mark through multi-dimensional security sensitivity analysis, completing hierarchical preprocessing to obtain a conference data block set according to the mark, dynamically fragmenting according to data attributes and classification marks and generating description information, completing encryption by using a multi-factor hybrid encryption algorithm component in combination with classification marks and fragmentation information to select encryption combinations and key strengths, constructing a distributed storage path planning model with encrypted fragments, sensitivity classification and storage node security performance matrix as inputs, calculating optimal storage node addresses to generate a storage routing table, and distributing encrypted fragments to corresponding nodes for storage according to the routing table. The method realizes conference data sensitivity classification processing and precise adaptation of storage nodes, and improves the security and adaptability of Internet of Things conference data storage.

This application relates to a three-dimensional modeling method and apparatus for spatiotemporal information fusion of metal components in thermal power units. The method includes: determining the categories and data attributes of multidimensional data for the metal components of the thermal power unit; generating a data structure for the multidimensional data based on the data attributes to construct a three-dimensional digital model of the full-space information of the metal components; generating and managing an image library of various three-dimensional component models; and fusing multi-source spatiotemporal data of the metal components based on the image library to obtain unified spatiotemporally fused data, and inputting the unified data into the three-dimensional digital model of the full-space information of the equipment to generate three-dimensional visualization information of the metal components. This solves the problems in related technologies, such as the large number and complex structure of metal components in large thermal power units, and the numerous and varied specifications and quantities of design, installation, and maintenance data related to each component, leading to a lack of systematic organization and analysis, and the absence of a unified, user-friendly management platform.

A current topography data creation system for a work site includes: a current topography data reception unit that receives first current topography data of a work site detected by a three-dimensional sensor included in each of a plurality of work machines; an attribute data reception unit that receives attribute data given to the first current topography data; a current topography data creation unit that creates second current topography data of the work site based on the first current topography data; a priority storage unit that stores priority related to attribute data given to the second current topography data; and an attribute data update unit that, in a case where a plurality of pieces of attribute data of a certain point of the first current topography data is received within a predetermined time, gives attribute data to the point of the second current topography data based on the priority.

The present application relates to the technical field of unmanned aerial vehicle, and specifically provides a multi-dimensional flight data hierarchical storage management method, system, device and storage medium, comprising: firstly, real-time monitoring of hierarchical storage system resource state, when the node meets the downgrade trigger condition, determining the source node to be downgraded; based on the access frequency, value and data classification label of data fragmentation, sensitive level and compliance rules, screening out target downgrade data. Further, planning a downgrade path for it: first, excluding non-compliant paths according to compliance rules to obtain a candidate set, and then using a downgrade decision model, combining the real-time state of source and target nodes, data attributes and migration cost benefit model, determining the optimal downgrade path from the candidate set. Finally, migrating data according to the path and updating the access route, so as to ensure that the downgrade decision can dynamically adapt to the rapid conversion of unmanned aerial vehicle tasks.

The application relates to the technical field of municipal infrastructure planning, and discloses a green and safe intelligent municipal infrastructure planning index system construction system, which comprises a framework reorganization module that receives multi-source municipal infrastructure original data, divides and constructs a directed spatial topology network according to physical properties; a double-evaluation diagnosis module that divides a city space into a calculation grid and calculates a present situation gap value; an index system configuration module that configures a quantitative index set containing a constraint subset and an expected subset and corresponding threshold values; a double-control strategy generation module that generates a planning strategy according to a comparison between the present situation gap value and the threshold values and converts the planning strategy into an initial spatial coordinate set; a conflict resolution module that detects three-dimensional space conflicts, generates an alternative space displacement scheme, calculates a score in combination with a dynamic weight, selects a highest-score scheme to update three-dimensional coordinates and a network; and a spatial data convergence and output module that binds data attributes and generates a management and control data model. The application realizes three-dimensional space overall planning of cross-professional facilities and automatic conflict avoidance.

This invention discloses a data processing method, apparatus, and system. By receiving a data stream and determining its data attribute information and corresponding configuration information, the method queries a data cache based on the data attribute information and configuration information to determine the matching progress of the data stream. Data matching is then performed according to the matching progress, and upon successful matching, a message corresponding to the data stream is sent to a target message queue. Therefore, this embodiment can improve data processing efficiency while achieving real-time data processing by caching historical matching results of behavioral data and performing data matching processing based on the current matching progress.