98 results about "Data documentation" patented technology

Disclosed are various approaches for facilitating verifier integrations using computer models. An exemplary system of the present disclosure comprises a computing device comprising a processor and a memory; and machine-readable instructions stored in the memory that, when executed by the processor, cause the computing device to at least: receive an unstructured claim query for a data document from an entity computing device, wherein the data document is structured in accordance with a data document schema; parse the unstructured claim query to identify attributes that are then converted to a machine-understandable representation of the unstructured claim query; prepare, using a predictive model that is trained to understand data documents that are structured in accordance with the data document schema, a query response to the machine-understandable representation of the unstructured claim query by evaluating contents of the data document; and transmit the query response to the entity computing device.

The invention relates to the technical field of information retrieval, and provides a privacy information retrieval system and method based on a block chain and function secret sharing, and the method comprises the steps: carrying out the encryption and keyword extraction of a data document; generating a Bloom filter index table between the keyword and the document based on the keyword trap door; uploading the encrypted file and the Bloom filter index table to a DSSP end, and transmitting the hash value of the encrypted file and the Bloom filter index table to a block chain for on-chain storage; storing the encrypted file in a distributed storage node under the chain according to the divided share; and the block chain calculates data of each column of the Bloom filter index table through consensus to obtain a message verification code, and the message verification code is stored on the block chain. According to the method, the index is constructed through symmetric encryption and the Bloom filter, and block chain evidence storage and FSS distributed storage are combined, so that data privacy protection and index credibility are realized. Through verification and tampering prevention, the problem that the existing FSS lacks verification and auditing mechanisms is solved.

The invention discloses a SysMLv2.0 model library multiplexing method based on definition driving. The method comprises the following steps: S1, constructing a model definition library containing structures, behaviors, interfaces, constraints and semantic attributes; s2, analyzing a modeling demand, identifying a to-be-multiplexed module, and determining a definition unit identifier; s3, calling the target definition unit and inserting the target definition unit into the current model in a reference mode; s4, performing context adaptation to generate a binding relationship; s5, setting a version identification mechanism, and establishing a version mapping index between the use unit and the definition unit; s6, registering a reference relationship and an adaptation rule, and generating a modeling metadata document; s7, automatically updating the content of the use unit according to the metadata document in the modeling process; and S8, executing consistency verification after use unit integration is completed, and ensuring correct interface connection, conflict-free constraint logic and complete version binding. According to the method, a definition-driven model system is constructed, and cross-context semantic multiplexing and version consistency modeling management are realized.

The invention provides a medical triage method and system based on a multi-modal model, and relates to the field of intelligent medicine.The medical triage method and system based on the multi-modal model are based on a large language model base, the RAG technology is adopted to retrieve a local knowledge base, access of different large models such as DeepSeek or local off-line deployment of the large language model can be supported, the safety and confidentiality of data are guaranteed, and the method and system are suitable for large-scale popularization and application. And the knowledge base can be updated and expanded according to the types of the cases and the update of the doctor knowledge. Multi-modal model analysis is combined with priori knowledge of a hospital, a cue word system and a data document are flexibly adjusted, and the accuracy of triage and hospital guidance is improved.

The invention discloses a bridge engineering knowledge base construction method and system, and the method comprises the steps: classifying the multi-modal data of each project in the bridge engineering field according to the data type, carrying out the structural conversion, forming a structural data document corresponding to each project, and constructing a modular parallel workflow; the data types comprise texts, images and voices; splitting each structured data document into document segments according to semantic features, and generating document segment vectors by using an embedded model; forming double indexes by using all document fragment vectors and an entity-relationship-attribute triple of the bridge knowledge graph, and constructing a structured data document library-document fragment vector library-knowledge graph three-layer knowledge base; and training a bridge large model based on implicit rule coding, explicit engineering constraint and a rule activation mechanism, and embedding the trained bridge large model into the three-layer knowledge base to complete construction of the bridge engineering knowledge base. Data are fully utilized, the coverage range of the knowledge base is expanded, a multi-dimensional evidence source is provided, and question and answer credibility is improved.

The invention discloses a bidder association mode identification method oriented to a collection flow, and belongs to the technical field of collection supervision, and the method comprises the following steps: S100, bidder data uniform characterization: employing an interface butt joint mode, static information data, dynamic information data, document information data and the like of different bidders participating in the same bid packet are collected from the collection system; s200, bidder data preprocessing is carried out; s300, analyzing static data of the bidder; s400, analyzing the dynamic data of the bidder; s500, bidder document data analysis is carried out; and S600, identifying the association mode between the bidders. According to the method, the abnormal behaviors can be quickly identified by analyzing the behavior modes of the bidder in different bid invitation stages, so that the monitoring efficiency of a supervision mechanism on the bid invitation process is improved, the compliance of bid invitation activities is ensured, unauthorized competitive behaviors such as bid enclosing, bid confusion and the like are disclosed and prevented, and the fairness of a bid invitation market is maintained.

Techniques for webhook registration are disclosed, including: receiving, by an integration platform, a metadata document associated with a producer, wherein the metadata document describes (a) a set of conditions for identifying webhook validation requests and (b) a set of one or more operations for validating webhook validation requests; instantiating, by the integration platform, an adapter based on the metadata document; determining, by the integration platform using the adapter, that a request from a producer satisfies the set of conditions for identifying webhook validation requests; responsive to determining that the validation request satisfies the set of conditions for identifying webhook validation requests: executing the set of one or more operations for validating webhook validation requests, to validate a registration of a consumer with the producer.

A method enables identification of a similarity level between a user-provided data item and a data item within a set of data documents. The method includes a representation generator determining, for each term in an enumeration of terms, occurrence information. The representation generator generates, for each term, a sparse distributed representation (SDR) using the occurrence information. The method includes receiving, by a filtering module, a filtering criterion. The method includes generating, by the representation generator, for the filtering criterion, at least one SDR. The method includes generating, by the representation generator, for a first of a plurality of streamed documents received from a data source, a compound SDR. The method includes determining, by a similarity engine executing on the second computing device, a distance between the filtering criterion SDR and the generated compound SDR. The method includes acting on the first streamed document, based upon the determined distance.

The invention provides a server and a knowledge base construction method, and relates to the technical field of database processing. The server obtains medium resource information and a query category set, the medium resource information comprises a plurality of medium resource labels and medium resource information contents corresponding to the plurality of medium resource labels, and the query category set comprises a plurality of query categories; determining at least one media asset label combination of the query category; wherein the media asset label combination comprises one or more media asset label categories; determining at least one prompt template corresponding to the media asset label combination, wherein the prompt template is used for indicating the number of data documents corresponding to the query category and media asset information content corresponding to media asset labels in the media asset label combination; inputting the prompt template into a first preset training model to obtain a data document; wherein the data document is used for representing to-be-queried data corresponding to the prompt template; and constructing a knowledge base according to the data document. According to the server provided by the embodiment of the invention, the knowledge base meeting the fuzzy query requirement can be constructed, and the user experience of a user during fuzzy query is improved.

The invention relates to the technical field of industrial data management, in particular to a supply chain data real-time integration processing method and system based on multi-source heterogeneous data, and the method comprises the steps: obtaining an external compliance data document, calling a document layout analysis model based on a multi-modal converter, extracting a text semantic vector, fusing the text semantic vector with a two-dimensional space coordinate feature to generate a composite index key, and carrying out the real-time integration processing of the supply chain data. Executing clustering analysis to recognize the text blocks and generating structured metadata; carrying out discretization processing on the business transaction data flow, and constructing an associated database with production environment and logistics data as attributes; executing cross-modal entity alignment by using the structured metadata, and establishing a bidirectional pointer link between the unstructured document index and the associated database; receiving a query vector, executing a recursive traversal algorithm based on a bidirectional pointer link, calculating a cascade influence probability as a correlation sorting score, and outputting a retrieval result; through multi-modal feature fusion and cross-modal entity alignment, deep integration and risk linkage retrieval of supply chain heterogeneous data are realized.

The invention provides a data generation method and device, electronic equipment and a storage medium. According to the method, a large amount of question instruction data and answer instruction data can be automatically generated by utilizing a large model only by utilizing a small number of seed data documents, that is, the reference text document can be automatically converted into the QA instruction data by utilizing the large model, and compared with manual mode change, the generation efficiency of the QA instruction data can be remarkably improved. Besides, the problem instruction data with the similarity not meeting the requirement is filtered in the embodiment, so that a favorable basis is provided for subsequent generation of accurate answer instruction data, namely, the generation accuracy of the QA instruction data can be improved. Besides, compared with a conventional filtering mode, the screening mode of the pairwise pairing principle adopted in the embodiment can reduce the data transmission amount in the screening process, and therefore the screening efficiency can be improved.

The invention belongs to the technical field of building information models (BIM) and digital construction, and discloses a building decoration suspended ceiling design method and system based on a BIM technology. The method comprises the following steps: acquiring main body structure data through laser scanning, reconstructing a three-dimensional model, and extracting connecting piece coordinates to generate a standardized data document; total station calibration and welding positioning are conducted on the basis of the coordinate data, and keel installation leveling and aluminum plate preprocessing are completed; and precise embedding of the aluminum plates is achieved by planning the installation sequence, and finally quality acceptance is conducted and fed back to the BIM model to form closed-loop optimization. According to the method, dynamic modeling driven by curvature characteristics and a differential geometric optimization algorithm are adopted, the problem of accumulated positioning errors of the suspended ceiling connecting piece under a complex building structure is solved, millimeter-level construction precision is achieved, construction efficiency is improved, material waste is reduced, and the method is particularly suitable for decorative suspended ceiling engineering of a large-span cantilever structure.

The invention relates to the field of computer document conversion and provides a method for converting an XML Schema document into an SCORM document in order to solve the problems that an existing XML conversion method is large in manual interaction amount and algorithm calculation amount and often not ideal in division result, and the method comprises the steps that 1, a temporary directory and subdirectories of the temporary directory under an SCORM data packet directory are emptied; 2, clearing a directory where the XML data packet is located and a subdirectory of the XML data packet after the XML data packet is decompressed; step 3, decompressing the XML data packet; step 4, obtaining a plurality of data source packets after the source data packet is decompressed, and storing the data source packets into Listt; the method comprises the following steps of: carrying out extraction and purification on Pu < {EN0} > Modulet; middle; 5, traversing the source data packet in the List to obtain a current source data packet; 6, analyzing the xml file in the source data packet, extracting data from the XML file, and constructing a data structure; constructing directory structure information according to an analysis result; and step 7, packaging the data packet, and publishing the data packet as an SCORM data packet. According to the method, a plurality of xml files are analyzed by using an open source framework VTD-XML, and rapid analysis, traversal and the like are also provided.

Data processing device for the recognition of handwritten characters, comprising: an image acquisition interface for receiving image data of a handwritten document, a document structure unit for determining a handwritten area and a document field assigned to this area, a writing profile generation unit for generating a document-related writing profile from characters whose recognition value reaches a predetermined first threshold, a character evaluation unit for determining at least one character candidate based on the image data, the document field and the writing profile, an uncertainty determination unit for determining an image sub-area if a character candidate's recognition value is below a predetermined second threshold.a post-capture control unit for generating a control signal for re-capturing the specific image area under different recording conditions compared to the first image capture, and a fusion unit for combining the image data of the first image capture and the re-capture for the final determination of the handwritten character.

The embodiment of the invention discloses a cloud CAD data synchronization method and device and a medium, relates to the technical field of data synchronization, and is used for solving the problem that data synchronization between models is difficult to realize by the existing cloud CAD. The method comprises the steps of determining whether a modeling service corresponding to a model data document exists or not based on the model data document corresponding to current Top-Down editing information uploaded by a browser side; if yes, starting of the current modeling operation is controlled according to the concurrency conflict operation process of the corresponding modeling service, and the corresponding modeling service is reused; if not, creating a copy of the modeling service of the current assembly data document as the modeling service corresponding to the model data document; executing the current modeling operation based on the corresponding modeling service, and obtaining incremental data corresponding to the current modeling operation; and according to the Top-Down editing state of the browser side, performing data synchronization on the incremental data based on the corresponding push strategy.

The application provides a method and system for updating multiple indexes, an electronic device and a storage medium, and the method comprises the following steps: an index updating node of an index updating system submits a constructed target data document to a search engine node of the index updating system; wherein the target data document comprises an index identifier, and the index identifier comprises a document identifier and a global identifier; the search engine node searches a local data document according to the document identifier, and if the local data document is found, it is judged whether the global identifier of the target data document is greater than the global identifier of the local data document, and if yes, the local data document is updated with the target data document. According to the scheme, the global identifier is constructed, the phenomenon that the data is covered and repeatedly updated in the updating process is effectively avoided, and resource waste is reduced.

A method and system of classifying documents is disclosed. The method includes determining line-text data for each of a plurality of lines of the document image using a text extraction technique. A set of unique keywords in the document image is determined based on a predefined list of keywords in the line-text data for each of the plurality of lines. For each keyword, two forward nodes are determined as next two subsequent keywords in the set of unique keywords based on determination of a shortest distance between the corresponding keyword and the next two subsequent keywords and based on the pre-defined reading sequence. Weights of each of the two forward nodes are determined based on the shortest distance and an angle of each of the two forward nodes with the corresponding keyword. A cluster is determined based on the feature matrix using a machine learning clustering model.

A system, apparatus, method, and non-transitory computer readable medium for providing an omni-channel content mapper framework may include a server caused to receive a content request from at least one user device, the content request including a unique content identifier associated with the requested content and desired content type information corresponding to the requested content, determine a desired content mapper (CM) plugin corresponding to the desired content type information from a plurality of CM plugins, obtain content data corresponding to the unique content identifier from a content database, generate an application-agnostic structured data document using the determined content mapper plugin, the application-agnostic structured data document including the obtained content data, and transmit the application-agnostic structured data document to the at least one user device in response to the content request.

The embodiment of the present application provides a deep learning-based video call method and system, which obtains pre-communication information between the target user and the pre-communication agent, and the user information of the target user in the pre-communication stage. According to the pre-communication audio, the business demand information of the target user is obtained. According to the business demand information, a text message link for triggering the video call address of the video agent is constructed. If a call request for a video call to a video agent is received, the video agent is called to establish a video call between the terminal device of the target user and the video agent in the formal communication stage, and the formal communication interaction between the video agent and the target user is realized based on a specific video mode and a pre-filled business data document generated based on the business demand information, thereby utilizing the processing of the pre-communication information to pre-provide the key content of the pre-communication information to the video agent in the formal communication stage, thereby reducing the situation of repeated description and improving the processing efficiency of business processing.

This invention belongs to the field of underwater acoustic engineering technology, and specifically relates to a method for cleaning and organizing multi-element heterogeneous sonar data. It includes: classifying multi-element heterogeneous sonar data according to storage format into audio data, image data, document data, and video data; classifying sonar data in each storage format into active sonar data and passive sonar data according to operating mode; classifying sonar data in each operating mode into array carrying method into bow hull mounting, stern towed mounting, side mounting, dangling mounting, and sonar buoy mounting; and sequentially performing quality assessment and screening, data preprocessing and cleaning, data organization and annotation, quality verification and storage, and archiving and distribution for each sub-category of sonar data in each storage format. This invention, through systematic cleaning, effectively removes redundant and erroneous data, improves data consistency and accuracy, saves storage space, and enhances data processing efficiency.

A problem extraction and answer generation method, device, medium and equipment are disclosed, which segment and vectorize text information in a bank data document to obtain multiple text vectors of each page; summarize each text vector to obtain multiple target summaries; use a preset question format for each target summary and input the target summary into a natural language processing model to obtain multiple initial questions and answers; and remove duplicates and sort the initial questions and answers to output a target question and answer corresponding to each target summary. The present application can analyze the bank data document, automatically generate relevant questions and answers, help users quickly understand the document content, and timely grasp industry information dynamics.

The application discloses a kind of non-relational database cipher data retrieval methods, comprising: step one, obtaining the plaintext retrieval request that data user submits to database system, extract the plaintext keyword in the plaintext retrieval request;Step two, according to the plaintext keyword according to the proposed cipher data retrieval algorithm based on key characteristic value, generates cipher retrieval characteristic value by feedback reinforcement training learning, and executes cipher data retrieval in database to obtain cipher data;Its step three, the obtained cipher data is decrypted operation to restore plaintext data document.The application has the advantages that the encrypted data in non-relational database can be retrieved, it is convenient for user to find encrypted data in database, and can support non-relational database field-level encrypted data retrieval.

The invention discloses a structured data storage method based on incremental synchronization. The method comprises the steps of obtaining change data related to a data change event and associated information to which the change data belongs by responding to the data change event of at least one database; converting the change data into a data document which can be retrieved from the vector database, and determining a document identifier of the data document and document content written into the data document based on the associated information; according to the change data, document index information used for retrieving the data document is determined; wherein the document index information comprises sparse features, vector features and metadata features corresponding to the change data. According to the method and the device, the change data is synchronously updated to the corresponding vector database, so that computing resources are saved, the real-time performance of data synchronization is improved, and feedback response corresponding to the latest data is conveniently given subsequently based on the index information in the vector database.

The invention discloses a clinical test data intelligent processing method and device, equipment and a medium, and the method comprises the steps: generating a verification value through extracting a key field of a subject, comparing and triggering cross-system data updating, generating an audit log based on a document operation event, and driving document synchronization, collecting the context of a writing interface to generate a semantic vector, matching historical fragments to complete report content, analyzing the content by using an intelligent verification engine to generate a correction suggestion, and predicting a notification time point by combining service conditions and user behaviors to trigger an early warning message so as to realize automatic processing of test data, documents and reports. Through linkage data synchronization, document updating, content generation and task notification, the information consistency in the test process is improved, the generation efficiency is improved, and reminding is timely, so that the clinical test collaboration quality and execution efficiency are enhanced.

The invention relates to a flight test telemetering data processing method, which belongs to the technical field of flight test data processing, and comprises the following steps of: firstly, loading and preprocessing a flight test telemetering data file, drawing a curve of a measurement value of each measurement channel along with time change, and outputting a resolving data file; specifying an interpolation method and a time sequence, and outputting an interpolation table; the time sequence of the interpolation table is converted into a monotone sequence, preprocessing is carried out, timestamp verification is carried out, outlier data are marked, 3 sigma verification is carried out, abnormal data are eliminated, interpolation is carried out on the eliminated abnormal point data according to previous and later data, and recalculation is carried out on the obtained interpolation table according to existing telemetry data; a data cleaning rule is given, and a result is output after data cleaning. According to the method, accurate synchronization of the time sequence of the heterogeneous system can be realized, multi-mode abnormal data cleaning is supported, and the defects of high-frequency information loss, poor abnormal value detection adaptability and low processing efficiency during multi-source telemetry data time sequence alignment in the prior art are overcome.

A reference map generator clusters, into a semantic map, a set of data documents selected according to at least one criterion and associated with a medical diagnosis. A parser generates an enumeration of measurements occurring in the set of data documents. A representation generator generates for each measurement in the enumeration, a sparse distributed representation (SDR). The method includes storing, by a processor on a second computing device, in each of a plurality of memory cells on the second computing device, one of the generated SDRs. A diagnosis support module receives a document comprising a plurality of measurements. The representation generator generates a compound SDR for the document. Each of the plurality of bitwise comparison circuits determine a level of overlap between the compound SDR and the stored generated SDR. The diagnosis support module provides an identification of the medical diagnosis associated with a stored SDR.

Systems and methods of the present disclosure include processors configured to perform steps to receive a tag data from a contactless communication tag, execute an applet associated with the contactless communication tag, and receive document data associated with an applet-linked document, including a document identifier, a document content data, a document recipient identifier, and a document sender identifier. The processors are configured to further generate an account link linking the document data to a user account associated with the document sender, generate a document entry in the user account based on the account link, generate a webpage from the applet to record the document data such that the document data is accessible upon subsequent reception of the contactless radio signal data, and display the document data and a current status of the applet-linked document on a display of the computing device associated with the contactless reader.

The embodiments of this specification disclose a data synchronization method, device, and medium for cloud CAD, which relate to the technical field of data synchronization and are used to solve the problem that it is difficult to achieve data synchronization between models in existing cloud CAD. The method includes: determining whether there is a modeling service corresponding to the model data document based on the model data document corresponding to the current Top-Down editing information uploaded by the browser side; if so, controlling the start of the current modeling operation according to the concurrent conflict operation process of the corresponding modeling service and reusing the corresponding modeling service; if not, creating a copy of the modeling service of the current assembly data document as the modeling service corresponding to the model data document; performing the current modeling operation based on the corresponding modeling service to obtain incremental data corresponding to the current modeling operation; and synchronizing the incremental data based on the corresponding push policy according to the Top-Down editing state of the browser side.

A reference map generator clusters, into a semantic map, a set of data documents selected according to at least one criterion and associated with a medical diagnosis. A parser generates an enumeration of measurements occurring in the set of data documents. A representation generator generates for each measurement in the enumeration, a sparse distributed representation (SDR). The method includes storing, by a processor on a second computing device, in each of a plurality of memory cells on the second computing device, one of the generated SDRs. A diagnosis support module receives a document comprising a plurality of measurements. The representation generator generates a compound SDR for the document. Each of the plurality of bitwise comparison circuits determine a level of overlap between the compound SDR and the stored generated SDR. The diagnosis support module provides an identification of the medical diagnosis associated with a stored SDR.