108 results about "Document model" patented technology

The invention relates to a method and device for generating a unified bid inviting file, electronic equipment and a storage medium. The method for generating the unified bid invitation file comprises the following steps: S1, designing a bid invitation file structured processing model, and setting the bid invitation file according to a model structure of modules and attributes; s2, designing an intelligent learning model of the bid invitation file, extracting feature vectors from the preprocessed data by utilizing a machine learning model, establishing a rule base conforming to business logic, integrating rules and policies of bid invitation parties, ensuring the compliance of the bid invitation file, and following corresponding laws and regulations and standards; and S3, designing a bid invitation file intelligent generation model, and generating a bid invitation file according to a purchase demand, a technical specification book and the like. According to the method for generating the unified bid invitation file, different types of bid invitation file model libraries can be established according to different types of projects; common problems and terms in the historical bid invitation file are analyzed through artificial intelligence, intelligent prompting and early warning are performed in the new bid invitation file, and benefits of enterprises are guaranteed.

The invention discloses a three-dimensional BIM (Building Information Modeling) and GIS (Geographic Information System) model-based integrated city district-level data management platform and method, and the platform forms a three-dimensional information integrated data management platform, collects geographic information data and basic data through an information data collection module, and converts the geographic information data and basic data into a BIM model file; the BIM model building module is used for making a BIM model based on three-dimensional software; the GIS model building module is used for building a GIS model and integrating a development environment and a database environment at the same time; the BIM model lightweight processing module is used for optimizing the BIM model and performing lightweight processing on the BIM model; the platform management module is used for constructing a BIM model management platform based on the cloud GIS, the BIM model management platform based on the cloud GIS is constructed in combination with the cloud GIS technology, visual display and automatic integration of the BIM model can be carried out, and centralized collection and analysis of more related data are achieved.

The invention provides a general document data conversion method and device, and the method comprises the steps: carrying out the business scene analysis and rule field extraction of an input text of a user through a large model business flow processor and an intelligent agent, generating a recommendation rule template, and carrying out the processing of the recommendation rule template; updating a configuration field of the recommendation rule template according to an adjustment requirement text input by a user to generate a target document conversion rule template; and according to the target document conversion rule template, performing general data mapping conversion on the source document data to generate a document data model of the target document, and realizing dynamic code-free automatic configuration by configuring the document conversion rule template, so that the reusability is improved, and the user experience is improved. Automatic conversion of isomorphic data and heterogeneous data to a general document model in a complex scene can be met, the delivery period is shortened, and the delivery cost is reduced; multiple cancel-after-verification relationships can be recorded according to the cancel-after-verification relationship table, an arbitrary cancel mechanism is supported, the bill redundancy is reduced, and the flexibility of cancel-after-verification relationship processing in bill conversion is improved.

The invention discloses a simulation scenario system and method. The system comprises a scenario editing module, a scenario simulation module, a model assembly database and a scenario evaluation module. The scenario editing module is in data connection with the scenario simulation module and the model assembly database and is used for generating a simulation scenario file; the model assembly database is in data connection with the scenario editing module and is used for managing the simulation scenario model; the scenario simulation module is in data connection with the scenario editing module and the scenario evaluation module and is used for processing the simulation scenario file to obtain a simulation scenario result; and the scenario evaluation module is in data connection with the scenario simulation module and is used for evaluating the simulation scenario result. The method comprises the following steps: analyzing scenario demand information to obtain scenario key information; according to the scenario key information, processing a model assembly database to obtain a configuration database; the configuration database is processed through the scenario editing module, and simulation scenario is achieved.

The invention discloses a laser-based surface treatment method and equipment, and the method comprises the steps: obtaining drawing document data of a to-be-treated metal material, carrying out the graphic layering processing of the drawing document data, and generating a multi-layer drawing document model; generating a first laser processing parameter set by combining the type, thickness and surface characteristics of the metal material; the metal material is placed on a jig provided with an automatic adjusting device, and the position of the jig is sequentially adjusted; the metal material is marked through a first laser according to the multi-layer drawing and document model, and machining feedback information of the metal material is collected through a sensor in the marking process; according to the difference between the processing response data and the drawing file data, generating a single-layer drawing file for correcting the processing deviation through an image processing and neural network identification method; the laser marking process and data feedback analysis are deeply fused, so that the precision and consistency of pattern forming are effectively improved; and meanwhile, the machining deviation can be remarkably reduced, so that the overall surface treatment quality and the product yield are improved.

System, method, and apparatus for transforming computer files are provided. The method, implemented by one or more processors, comprises: inputting a source file and a source file specification, the source file including one or more source data items, the source file specification defining formats of the one or more source data items; generating, using a generative AI model based on the source data and the source file specification, a source file model including one or more source nodes, each of one or more source nodes associated with a respective data item of the one or more source data items; generating, using the generative AI model, a transform map mapping the one or more source nodes to one more target nodes of a target file model; invoking, a semantic model-based transformation service to generate an output file; and invoking a comparison module to compare the output file to an output sample.

The invention provides a data processing method and device based on a distributed file model and electronic equipment. Comprising the steps of obtaining source data, determining a current operation type, and configuring target parameters of a data warehouse and parameters of a memory calculation engine; screening the source data to obtain a data field, and establishing a mapping relationship between the HBase data table and the data field; processing the data file to form an original distributed data set, obtaining a storage unit interval in the HBase data table, and performing re-partitioning processing on the original distributed data set partition according to the storage unit interval to obtain a partitioned distributed data set; and mapping key value pairs in the partition distributed data set into a data storage basic unit of the HBase, inputting the source data into the data storage basic unit, marking the data storage basic unit to obtain a marked storage basic unit, and executing writing or deleting operation on the source data. The problem of high response delay caused by low system throughput when the data volume is large in the prior art is solved.

The invention discloses a credit card propaganda image-text generation method and device, and relates to the technical field of finance, and the method comprises the steps: screening a plurality of historical credit card propaganda prompt words according to the latest supervision requirements, and obtaining a plurality of compliant credit card propaganda prompt words; obtaining information of a plurality of credit card products, and determining a propaganda prompt word corresponding to each credit card product; inputting the basic information of the user into a credit card recommendation model, and outputting target credit card product information suitable for the user; inputting the character information of the target credit card product and the propaganda prompt word corresponding to the target credit card product into a financial document model, and outputting credit card propaganda document information; and inputting the basic information of the user, the target credit card product information and the credit card propaganda copywriting information into the text graph model to obtain a credit card propaganda image-text. According to the invention, high-quality and compliant credit card propaganda images and texts can be generated, and the efficiency of generating the credit card propaganda images and texts is improved.

Systems and methods are provided for creating a machine learning (ML) model staging repository, where ML models are stored as an open container image (OCI). The OCI comprises layers or portions of the complete ML model, so that the model can be stored separately and as a smaller files. The ML models may be pre-packaged for automated downloads and integration at the customer site. In some examples, the OCI can identify / store the model in a directory structure that defines the model and its profile. The OCI can comprise a combination of layers and profiles that allows the AI platform to optimize the storage and simplify the process of downloading or updating the given user namespace instead of downloading a single large file for the model.

A method may include detecting one or more selection boxes and one or more text lines in a primary document. The method may include determining respective vectors associated with the selection box and adjacent text lines to the selection box in a plurality of directions. The method may include determining a set of respective vectors associated with a unique selection box. The method may include determining a variance between respective vectors in the set of respective vectors and identifying a particular direction corresponding to a minimal variance between the respective vectors in the set of respective vectors as compared to a variance of other sets of respective vectors. The method may include generating a key-value pair based on the set of respective vectors characterized by the minimal variance. The method may include generating a document model, including the key-value pair, and extracting data according to the document model.

The invention relates to a document generation method and device, a storage medium and electronic equipment, and relates to the technical field of medical health management.The method comprises the steps that in response to a document generation instruction, template configuration information used for generating a target PDF document is obtained, chart drawing is conducted according to the template configuration information and a document data model, and the target PDF document is generated; and generating a target picture in a preset coding format, replacing the parameters, recorded in the document data model, of the target number with the target picture corresponding to the target number, obtaining a target document, performing format conversion on the target document, and generating a target PDF document. Therefore, the picture corresponding to the document model and the chart is generated by directly acquiring the template configuration information for generating the PDF document, so that the problem that the picture display quality is reduced due to the influence of the screenshot resolution can be avoided, and the text content in the generated PDF document can be captured and independently selected; and the content definition and accuracy in the generated PDF document are improved.

Techniques for cycle management including: determining, based on historical unstructured CRM data, a document model to determine document attributes of a set of documents; determining, based on historical structured CRM data, a stage prediction model to determine attributes of a current sales cycle based on a current sales cycle stage and current document attributes; determining, based on current sales cycle structured data, a current stage of the current sales cycle; determining, based on application of current sales cycle unstructured data to the document model, a current set of attributes for the current sales cycle; and determining, based on application of the current stage of the current sales cycle and the current set of attributes for the current sales cycle to the stage prediction model, a predicted outcome for the current sales cycle.

The invention provides a document processing method and device, electronic equipment, a computer readable storage medium and a computer program product. The method is applied to an online document program. The method comprises the steps that in response to an opening operation for a first document, a first editing tool corresponding to the document type of the first document is inquired from at least one editing tool, and the first editing tool is called to display the content of the first document; in response to an editing operation for any page in the first document, calling a first editing tool to obtain an editing parameter corresponding to the any page, and updating a first document model set corresponding to the first document based on the editing parameter to obtain a second document model set; calling a first editing tool to display an editing result of any page based on the second document model set; and calling the first editing tool to generate a second document based on the second document model set in response to meeting the saving condition of the document. According to the method and the device, the contents of the documents of different document types can be edited quickly.

The invention provides an underwriting billing algorithm based on a general insurance product model, and the algorithm comprises the steps: S1), designing a unified product baseline and a file model for the characteristics of insurance types of non-vehicle insurance lines; s2) designing a unified document model for the insurance slip and the approval slip; s3) developing a business factor library capable of dynamically expanding on the basis of the unified document model to adapt to business characteristic index expression and calculation rules with changeable scenes; s4) under the support of the unified document model and the business factor library, defining an insurance amount and insurance premium structure, and designing a unified insurance premium calculation engine to execute a charging task, the insurance premium calculation engine generating an insurance premium by applying a business factor calculation rule, and charging by superposing a business adjustment coefficient; and S5) executing rate base line rule constraint on a charging result, and prompting a charging risk. According to the invention, convenient and flexible charging, supervision, backtracking and auditing support can be provided for complex and changeable non-vehicle insurance product insurance, and the delivery efficiency is improved.

The invention provides an online labeling, training and reasoning platform and method for identifying an AI model of a 3D point cloud, and belongs to the technical field of artificial intelligence. The system comprises a file management module, an online labeling module, an online training module and an online reasoning module. The file management module is used for managing a point cloud file, an algorithm file, an AI model file and a classification label file; the online labeling module is used for performing category labeling on the point cloud file and storing a labeling result back to the file management module; the online training module is used for training the AI model and storing the trained AI model in the file management module; and the online reasoning module performs reasoning classification on the point cloud file by using an AI model to obtain a point cloud classification result. According to the invention, the implementation difficulty of 3D point cloud marking, training and reasoning can be reduced, and the 3D point cloud deep learning efficiency is improved.

The embodiment of the invention relates to a multi-system AI repository controller. Systems and methods are provided for creating a hierarchical repository of machine learning (ML) models in which ML models are stored as open container images (OCIs). The OCI includes a layer or portion of a complete ML model so that the model can be stored separately and as a smaller file. The ML model may be pre-packed for automated downloading and integration at the customer site. In some examples, the OCI may identify / store the model in a directory structure defining the model and its configuration files. The OCI may include a combination of layers and configuration files that allow the AI platform to optimize storage and simplify the process of downloading or updating a given user namespace rather than downloading a single large file for the model.

A computer-implemented method includes generating a user interface; receiving a set of object models; processing the received object models; and rendering the document model via a viewport. A non-transitory computer readable medium contains program instructions that when executed, cause a computer to generate a user interface; receive a set of object models; process the received object models; and render the document model via a viewport. A computing system includes a processor and a memory having stored thereon instructions that when executed by the process, cause the computing system to generate a user interface; receive a set of object models; process the received object models; and render the document model via a viewport.

Techniques for detecting file similarity based on the characteristics and semantics of files are disclosed. A machine learning (ML) model may be trained to recognize and group files based on a hierarchy of file characteristics. The trained ML model may be used to process a set of files to generate a feature vector database comprising a set of feature vectors that are grouped based on the hierarchy of characteristics. In response to receiving a query file to be compared to the set of files, the ML model may be used to process the query file to generate a query feature vector. The query feature vector may be used to search the feature vector database to identify feature vectors that are similar to the query feature vector. A file corresponding to each feature vector that is similar to the query feature vector may be retrieved and presented to a user.

The embodiment of the invention discloses a retrieval enhancement generation method and device, equipment and a storage medium. According to the technical scheme, firstly, type classification is carried out on received initial query questions, target question types are determined, the target question types comprise at least one of document questions and non-document questions, then target models corresponding to the target question types are used, target answers corresponding to the initial query questions are output, and the target answers corresponding to the initial query questions are obtained. The target model is one of preset models, the preset models comprise a document model and a non-document model, the document model is used for obtaining answers to document questions, and the non-document model is used for obtaining answers to non-document questions. According to the retrieval enhancement generation method, the initial query question is subjected to type classification, and then the target answer corresponding to the initial query question is output by using the corresponding target model, so that the accuracy of the answer generated by retrieval enhancement can be improved, and the user experience is improved.

This application provides an AR application method and system based on CATIA software modeling. The method utilizes the secondary development environment of Navisworks software to convert the CATProduct file (CATIA's unique output format) into an NWC file. Then, Navisworks' secondary development is used to extract the geometric, material, and attribute data from the NWC file model, outputting the analytical results, which are then loaded into the AR application. This application uses a low-cost and lossless analytical method to convert CATIA data into a data type recognizable by AR applications, helping AEC-related enterprises reduce costs and increase efficiency, expand AR application scenarios, and improve user satisfaction with model AR applications.

A document management system utilizes document models for querying, validating, and customizing electronic agreement documents. Document models can be a data structure including document attributes that represent an agreement document. Examples of document attributes include customizable data values, conditions related to the operation of the agreement document and satisfiable by certain values of the customized data values, and rendering parameters for the appearance of the electronic agreement document. The document management system enables a user to create custom document models for generating electronic agreement documents that can be queried, validated, and customized through querying, validating, and customizing the corresponding document models.

The one or more embodiments of the specification provide a method for collaborative editing of a mixed document, applied to a client in a document collaborative editing system for collaborative editing of the mixed document, the mixed document including document content objects corresponding to multiple types of document editors; the method includes: creating a corresponding collaborative document instance for each document content object in the mixed document, the collaborative document instance participating in collaborative editing through a collaborative document model; determining a corresponding original atomic operation of a collaborative editing instruction for the collaborative document instance in the mixed document; expanding the original atomic operation into an expanded atomic operation for the mixed document; and sending the expanded atomic operation to a server of the document collaborative editing system for sharing to other clients for collaborative editing of the mixed document.

A passive Multi-Factor Authentication (MFA) system includes a passive MFA server that receives, from a user computing device, passive biometrics data and device data collected during a current session on a remote site; submits the passive biometrics data to a user profile model, and in response receives a user authentication confidence score; and submits the device data to a device profile model, and in response receives a device authentication confidence score. The passive MFA server is also configured to receive a user authentication request for a current payment transaction associated with the current session on the remote site, and transmit the user authentication confidence score and the device authentication confidence score to an Access Control Server (ACS) configured to determine that the scores satisfy a predefined threshold for passively authenticating a user of the user computing device during the current session, without conducting an active authentication process with the user.

The invention belongs to the technical field of artificial intelligence, and relates to a data management method and device, computer equipment and a storage medium, and the method comprises the steps: receiving a model uploading request triggered by a user; wherein the model uploading request carries a model file, file information of the model file and authentication information of a user; verifying the model file based on the file information; if the model file passes the verification, authenticating the user by using a multi-factor authentication strategy based on the authentication information; if the user passes the authentication, the user is authenticated based on the authentication information; if the user passes the authentication, generating target version information of the model file; obtaining metadata information of the model file; and based on the target version information and the metadata information, performing storage processing on the model file. In addition, the invention also relates to a block chain technology, and the model file can be stored in a block chain. The method can be applied to model management scenes in the medical science and technology field and the financial field, and the processing efficiency of model data management is improved.

The application discloses a kind of offshore task planning and deduction simulation analysis method, and the knowledge data of war knowledge base is set war ontology knowledge base, and the model based on event ontology is designed in combination with ontology modeling language, the class of sea battlefield event ontology and the hierarchical structure setting of class are determined, and the sea battlefield rule file model is established to describe sea battlefield combat event, and the sea battlefield combat rule of the sea battlefield rule file model is obtained based on war semantic net rule;Sea battlefield combat rule is inferred according to BN reasoning engine module to obtain the execution event of sea battlefield combat rule;And the execution event is visualized by man-machine interactive system, and the expression of battlefield combat rule based on offshore task planning and deduction simulation is realized.

1. Name of the design product: Graphical user interface for file model view analysis of electronic equipment. 2. Purpose of this design product: for use in an electronic device. 3. The key design point of this design product lies in the graphical user interface. 4. The picture or photo that best illustrates the key points of the design: main view. 5. Purpose of the graphical user interface: to provide users with view analysis services related to file models. 6. Description of the change status of the graphical user interface: The main view is the graphical user interface displayed in the file model view analysis interface; in the main view, click the bar chart in the upper right corner to enter the interface change status diagram 1. In the interface change state diagram 1, click the "XXX" text content in the "Number of Clauses" table to enter the interface change state diagram 2. 7. Other situations requiring explanation: “XXX” in the graphical user interface is variable text, numbers or letters.

Systems and methods for controlling the exposure of data privacy elements are provided. The systems and methods may generate an artificial profile model. The artificial profile model may include a constraint for generating new artificial profiles. A signal may be received indicating that a computing device is requesting access to a network location. One or more data privacy elements associated with the computing device can be detected. An artificial profile can be determined for the computing device. The artificial profile may be usable to identify the computing device. The one or more data privacy elements may be automatically modified according to the constraint included in the artificial profile model. The method may include generating a new artificial profile for the computing device. The new artificial profile may include the modified one or more data privacy elements. The new artificial profile may mask the computing device from being identified.

The present invention relates to the technical field of data synchronization, and provides a method and device for converting document model data into relational model data. The present invention dynamically updates mapping configuration information according to historical document model data, uses the mapping configuration information as a reference, extracts data from current document model data to obtain row data, and loads the row data into a corresponding relational table to obtain relational model data; wherein, the mapping configuration information is obtained based on historical document model data in the evolution process of the current document model data, so that the mapping configuration information covers as much of the table structure and dependency relationship in the current document model data as possible, thereby ensuring that there is no large amount of data redundancy or unclear table structure in the row data obtained by matching the mapping configuration information, which greatly improves the practicality of the data synchronization system and solves the problem of affecting upper-level applications due to data redundancy and unclear table structure.

Systems and methods for periodically modifying data privacy elements are provided. The systems and methods may identify a set of data privacy elements. A data privacy element can characterizes a feature of a computing device and can be detectable by a network host. A first artificial profile can be generated by modifying a first data privacy element based on an artificial profile model that defines a relationship associated with one or more constraints between the set of data privacy elements. Subsequent to generating the first artificial profile, a second artificial profile can be generated by periodically modifying a second data privacy element in accordance with the relationship defined by the artificial profile model. The computer device can be masked from being identified by the network host by sending the second artificial profile including the second data privacy element to a requested network location.

The invention provides a document object model updating processing method, electronic equipment and a storage medium. The method comprises the steps of obtaining a node sequence of a new document model tree; according to the text content of each new node and an update time difference, determining the priority of each new node, the update time difference being used for indicating the time difference between a new document model tree and the current time; traversing the new nodes in sequence according to the priorities of the new nodes, and for the traversed current new node, determining a target node matched with the current new node from an old document model tree; determining a multi-dimensional distance between the current new node and the target node, and determining a target updating strategy according to the multi-dimensional distance; and updating the target node according to the target updating strategy and the current new node. And the real-time performance and the accuracy of updating processing of the document object model are improved.