260 results about "Document transformation" patented technology

The invention provides a semi-structured file processing method based on an LLMs (Language Language Model), which is used for efficiently analyzing a semi-structured file and converting the semi-structured file, and belongs to the technical field of intelligent document processing and multi-modal learning. The method is characterized by comprising the following steps: multi-modal fusion analysis: adopting a hierarchical cross-modal attention mechanism HCMA, and combining a multi-head attention mechanism with a graph neural network GNN to realize multi-level feature fusion of a text and an image; adaptive structured conversion: adopting a dynamic structure analysis network DPN, and combining reinforcement learning and a generation model to realize adaptive analysis of a document structure; and model generation and multi-modal reasoning: adopting a multi-modal generation reasoning network MGRN, and combining a diffusion model and neural symbol reasoning to realize joint generation and reasoning of the text and the image. According to the method, a remarkable technical breakthrough is brought to the aspects of document analysis, information extraction and intelligent reasoning, and powerful support is provided for data-driven innovation of various industries.

The invention provides a file conversion method and device, equipment and a program product, and the method comprises the steps: obtaining a to-be-converted file which is an image file or a portable document format file, i.e., a PDF file; identifying elements in the to-be-converted file, determining attributes of the identified elements based on an identification result, and performing logic layering on the identified elements; the elements comprise texts; generating a structured document based on the logical layering result and the attributes of the identification elements; and converting the structured document or the edited structured document into an editable file in a portable document format, so that the PDF can be edited. According to the method and the device, the automatic conversion from the image or the PDF to the editable PDF is realized, and in the conversion process, through the structured document generated in the middle, while the logic level of the document is improved, a user is supported to carry out instant editing, and the editing efficiency and convenience are improved.

The invention discloses an intelligent auditing method, apparatus and device, and a storage medium. The method comprises the steps of collecting a financial auditing document file; converting the financial audit document file into a structured text by using an OCR model; classifying the structured text through a classification model to obtain a classification result; based on a classification result, key fields are extracted from the structured text through a large language model and a multi-modal model; obtaining an auditing rule and constructing a knowledge graph system based on the auditing rule; and inputting the key field into a knowledge graph system for auditing and decision making to obtain an auditing result. According to the method, the document text is accurately identified through the OCR model, the documents are intelligently classified through the classification model, the document content is deeply analyzed through the large language model and the multi-modal model, and meanwhile, the knowledge graph system is combined for automatic auditing, so that automatic auditing of the documents is realized. The auditing efficiency and accuracy are greatly improved, and the labor cost is reduced. And objectivity and consistency of examination and approval decisions are ensured.

The invention belongs to the technical field of electric digital data processing, and particularly relates to a method for analyzing a table in a pdf document under an RAG scene, which comprises the following steps of: analyzing the pdf document, extracting the table in the pdf document page by page, storing the table as an Excel file and positioning information, converting the Excel file into a Markdown format table, and storing the Markdown format table into a server; the content of a Markdown format table is summarized through a large language model, a descriptive text is generated, context of the table is extracted through generated descriptive text positioning information and stored as a relevance text, and the extracted context information is combined with the descriptive text to generate a summarized text. According to the method, the descriptive text, the relevance text and the summary text are subjected to vectorization processing to generate a vectorized file, the vectorized file is stored in a vector database, the Markdown format table and the generated vectorized file are subjected to associative storage, complex PDF analysis can be processed only through the combination of the large language model and the Markdown format table, the deployment cost is low, and meanwhile, the method is easy to implement. The information generated by retrieval is more accurate, and the displayed content is more intuitive.

System and methods are provided for automated SKU management. Embodiments include a user interface for receiving diverse catalog files, a Catalog Transformation module, a Real-Time Data Mesh (RTDM) module, a Master Data Governance (MDG) module, a Global Data Repository (GDR), and a Search Platform. The Catalog Transformation module, through iterative learning, transforms catalog files to a standard format and predicts categorization and attribute mapping. The RTDM module is configured to perform real-time data exchange. The MDG module validates the transformed catalogs. The GDR stores validated catalogs. Embodiments can include a Dynamic SKU Creation module and a Global Pricing Engine for real-time pricing. Embodiments improve data accuracy and SKU management, facilitating integrated order processing and fulfillment.

The invention discloses an interface dynamic implementation method, a medium and equipment. The method comprises the following steps: converting a source code interface file into a structured description file; constructing a mapping relation library of the interface components and the implementation codes; storing the structured description file as an independent interface structure data instance, storing external business data as an independent business data instance, and establishing a separated storage system of the interface structure data and the business data; and analyzing the structured description file, judging whether the attribute value of the interface component is a business data type, and if yes, replacing the business data instance with the business data to generate a final interface. According to the method, the component instance is matched based on the mapping object, the interface is dynamically generated, an exclusive analyzer does not need to be developed for a single component, and the dynamic efficiency and maintainability of the interface can be remarkably improved.

The invention discloses a lightweight three-dimensional data format generation method suitable for ship model labeling, which comprises the following steps of: exporting a three-dimensional model file from ship design software, extracting a model attribute information file of the three-dimensional model file, analyzing the three-dimensional model file and the model attribute information file, and calculating to obtain attribute value information of a geometric body model in a model; the attribute value information of the geometry model is integrated and then converted into a lightweight data exchange format, a lightweight data exchange format file is converted into a binary format, and a lightweight three-dimensional data format file is obtained through transcoding and compression; and the lightweight three-dimensional data format file is stored in a database after being subjected to name matching based on the model attribute information. The volume of the lightweight three-dimensional data format file is small, only key data of the reduced model are reserved according to the characteristics of the ship model, and binary coding conversion and compression are performed on the file, so that the volume of the lightweight three-dimensional data format file is much smaller than that of a model file in a general format, and storage and network transmission are greatly facilitated.

The invention discloses an application migration method and device, equipment, a readable storage medium and a program product, and relates to the technical field of artificial intelligence, and the application migration method comprises the steps that self-defined resources corresponding to reasoning applications are managed through a self-defined controller, so that automatic execution of a driving migration task is achieved. Specifically, on the basis of file conversion resources, an original model file is transformed; transforming an application mirror image based on the mirror image conversion resource; and migrating the reasoning application to a target resource pool corresponding to the target environment based on the application program migration resource. Namely, the migration process of the whole reasoning application is driven by a user-defined controller, and model transformation, mirror image adaptation, data migration and application deployment are automatically completed, so that efficient migration of the reasoning application among different environments is ensured. Therefore, the technical problem of cross-heterogeneous resource pool migration of the inference application can be solved, and the technical effects of getting rid of the dependence of cross-heterogeneous resource pool migration on manpower and guaranteeing the continuity and stability of services are achieved.

Disclosed is a video summarisation method that includes converting an input video file to a video transcript using speech recognition, segmenting the video transcript into a plurality of paragraphs using a transformer based model, performing relevance ranking of the plurality of paragraphs by assigning a paragraph importance score to each paragraph, based on relevance of each paragraph to an overall content of the video transcript, creating a plurality of candidate summaries from the plurality of paragraphs, each candidate summary comprising two or more paragraphs, performing coherence reranking of the plurality of candidate summaries based on a combination of coherence and relevance of each candidate summary, and selecting a summary based on the coherence reranking.

The invention discloses a data intercommunication method and device based on a prototype file and a design file, and the method comprises the steps that a design file layer is converted into a combination of an instance and a component set, the instance is a copy of the component set, and the instance retains the basic attribute and state information of the component set; a team sharing library is established, editing and deleting operation is carried out on the combination of the instance converted from the design file in the prototype file and the component set, newly-added operation is forbidden, and the prototype file and the design file share element resources and design assets; in the mutual copying and pasting operation, layer data of the prototype file and the design file are kept consistent, and editing operation is supported; the layers are pasted into the synchronization blocks in a cross-file mode, the layers are modified in the source file, the associated synchronization blocks automatically prompt updating, and design consistency is ensured. According to the method, the prototype file and the design file are mutually copied and pasted to exchange data, so that unified management and reuse of resources are realized.

The invention relates to a Python-based Web system automatic test method, which comprises the following steps of interface test data capture, page element acquisition, test framework establishment and establishment of a visual test platform by combining a UI (User Interface) and an interface case, in the interface test data capture, a charls tool is used for data capture, agent setting and SSL (Secure Socket Layer) certificate installation; after packet capturing is completed, file conversion in a yaml format is carried out; in the step of page element acquisition, related information of elements is acquired by using a method provided by Selenium, and a page is analyzed, processed and packaged. According to the method, the Web automatic test execution efficiency can be improved, the problem that the use threshold is too high is avoided, and the project risk and the labor cost are reduced.

The invention discloses a three-dimensional geologic model creation method based on Python and BIM, and the method comprises the steps: converting a PDF file of a borehole histogram into an Excel file or a CSV file through a Python library, and rapidly and efficiently extracting a large amount of corresponding data information in the borehole histogram; according to the method, Civil3d and Revit software are combined through Dynamo visual programming, and a three-dimensional geologic model capable of being edited is manufactured; after the three-dimensional geologic model is created, the three-dimensional geologic model is an editable model and is a family file in Revit, and a designer can create basic construction and design in the three-dimensional geologic model.

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.

Various embodiments of the present disclosure provide a method for group message delivery. The method which may be performed by a user equipment comprises: obtaining meta data information of a group message from an application server. In accordance with an exemplary embodiment, the method further comprises: receiving a file from a multicast / broadcast service entity. The file may be transformed from the group message. In accordance with an exemplary embodiment, the method further comprises: transforming the file into the group message, according to the meta data information.

The invention relates to the technical field of data processing, and discloses a test case file conversion method and device, computer equipment and a storage medium. The test case file conversion method comprises the steps of obtaining a to-be-converted file, and analyzing the to-be-converted file according to a file type of the to-be-converted file to obtain file analysis data; performing conversion processing on the file analysis data according to a preset intermediate conversion rule to obtain an intermediate conversion file; obtaining format selection information, and determining a target file format and a target file template corresponding to the target file format according to the format selection information; and according to the intermediate conversion file and the target file template, generating a target conversion file corresponding to the target file format. According to the embodiment, a unified intermediate file processing mechanism is established, meanwhile, automatic processing of file conversion is achieved, the file conversion efficiency and accuracy are improved, and different scene requirements can be met.

The invention provides a multi-language compatible algorithm scheduling platform and method, and the platform comprises a data collection module which is used for receiving basic information and algorithm files of different language algorithms based on an API interface, and converting the algorithm files into mirror image files according to the basic information based on a preset method; the algorithm deployment module is used for carrying out environment configuration on the algorithm container based on the basic information, carrying out isolated deployment on the mirror image file in the algorithm container based on an environment configuration result, and carrying out multi-dimensional management on different language algorithms subjected to isolated deployment; and the algorithm scheduling module is used for receiving a service demand based on the multi-dimensional management result, locking a target language algorithm based on the service demand, and performing scheduling operation on the target language algorithm based on an API interface. According to the method, different language algorithms can stably and reliably run in a deployment environment, the reliability of cross-language deployment is improved, and the reliability, stability and accuracy of multi-language algorithm scheduling are improved.

The invention discloses a report generation agent method, system and device driven by a large language model and a medium, and the method comprises the steps: constructing an agent execution framework independent of a native interface, outputting a decision through a cue word constraint model in a JSON structure, and scheduling a local tool function; analyzing the reference data and constructing a local vector knowledge base supporting semantic retrieval; the intelligent agent autonomously plans and generates a report directory structure based on a local vector knowledge base, stores the report directory structure as a structured intermediate file as a persistent intermediate representation, generates chapter content in parallel by utilizing a concurrent flow control and exponential backoff retry mechanism and combining a mixed retrieval strategy, and serializes and updates the chapter content to the intermediate file in real time; and finally, converting the intermediate file into a target format report according to a mapping rule. The system, the equipment and the medium are used for implementing the method. According to the method, the efficiency and the accuracy of complex report generation are remarkably improved through agent whole-process autonomous driving and combination of persistent intermediate representation, retrieval enhancement and concurrency control technologies.

The invention provides a cross-file semantic association analysis system based on a hierarchical rule engine. The cross-file semantic association analysis system comprises a plurality of modules, wherein a code compilation analysis module is used for converting an input code file into an AST object and executing cross-file dependency and reference analysis; the semantic fact construction module generates an initial fact set according to the data output by the code compiling and analyzing module; the rule interpreter receives the rule set of the hierarchical rule base and constructs a corresponding hierarchical rule network; the rule matcher injects the initial fact set into the hierarchical rule network in a streaming mode to execute rule matching; the condition verification module verifies a rule matching condition according to the input fact data and returns a result; when rule matching succeeds, the rule executor executes corresponding processing logic and updates the fact base; and the result analyzing and processing module analyzes and integrates the final reasoning fact data and writes a result into a conclusion library. The method can be used for constructing a universal cross-file code context analysis system, and the code static analysis performance is improved.

The invention discloses a complex text analysis and processing system and method based on a large language model, and relates to the technical field of text analysis and processing, and the system comprises a preprocessing module, a multi-modal analysis module, a large language model arrangement module, an entity extraction module and a database storage module. Wherein the preprocessing module receives a complex text, performs format detection, determines whether the complex text is in a coding format, and converts the complex text in a non-coding format into a picture file; the multi-modal analysis module uses a multi-modal large model to identify and extract text information in the picture file, and converts the picture file into text data in a coding format; the large language model sorting module uses a large language model to perform semantic analysis and error correction to obtain an output text, and sorts the format and layout of the output text; the entity extraction module extracts entity information from the output text; and the database storage module stores the entity information into a database to realize structured storage.

The embodiment of the invention provides a code conversion method and device, a storage medium and a program product. The method comprises the following steps: segmenting a to-be-converted code file into a plurality of code snippets, retrieving a conversion rule matched with each code snippet from a preset conversion rule library, and retrieving a knowledge fragment matched with each code snippet from a user private knowledge base; based on the multiple code snippets, the conversion rules matched with the code snippets and the knowledge snippets matched with the code snippets, target cue words are generated, the code conversion model is guided through the target cue words, and the code snippets to be converted are recognized from the multiple code snippets; the to-be-converted code snippets are rewritten on the basis of the conversion rules matched with the to-be-converted code snippets and the knowledge snippets matched with the to-be-converted code snippets, so that the to-be-converted code file can be converted into the target code file under the target version more accurately by the code conversion model; and the accuracy of a code conversion result between different versions is improved.

The embodiment of the invention provides a CAD-based model file conversion method and device, electronic equipment and a storage medium, and belongs to the technical field of data conversion. The method comprises the steps that a first model file input by a user is received, and first CAD software corresponding to the first model file is determined; determining a deformation parameter corresponding to the first model file, and generating a corresponding parameter mapping table based on the deformation parameter; and generating a deformation request based on the first model file, the first CAD software and the parameter mapping table, and outputting a second model file corresponding to second CAD software based on the deformation request. According to the embodiment of the invention, model data conversion and sharing can be carried out among different CAD software, the accuracy and efficiency of model file conversion are improved, and then the efficiency of part type selection and reuse is improved.

The invention relates to the technical field of databases, in particular to a database mapping file conversion method and system based on a large model, and the method comprises the steps: recursively traversing files under a target project path to obtain a file path list; according to a path sequence in the file path list, circularly executing the following steps S1-S5; s1, reading to-be-converted file content of the Nth to-be-converted file; s2, constructing a target cue word based on the read to-be-converted file content, and inputting the target cue word and the to-be-converted file content into the large model; the target cue word is used for guiding the large model to convert an SQL statement in the to-be-converted file content into a target statement conforming to the target grammar; s3, analyzing an output result of the large model to obtain to-be-written file content in a preset format; s4, generating an output path; and S5, writing the to-be-written file content into the target file under the output path. In this way, the efficiency and accuracy of database adaptation conversion can be improved.

The invention discloses a webshell security detection analysis method and system based on a semantic analysis engine, and relates to the technical field of security detection.The webshell security detection analysis method comprises the steps that lexical analysis and grammatical analysis are conducted on a to-be-detected file, the file is converted into a language fragment, and an abstract syntax tree is constructed; extracting the stain subtree, identifying and marking the part containing the potential danger node, and evaluating the risk level of the potential danger node; malicious code behavior characteristics are extracted, and a standard definition BNF is used to construct a characteristic graph; and matching the potential danger nodes with the constructed feature graph, calculating a matching value to evaluate the risk of each potential danger node, and outputting the specific risk value of the node. According to the webshell security detection analysis method based on the semantic analysis engine provided by the invention, the limitation of a traditional detection method is effectively solved. According to the method, potential malicious code behaviors can be accurately identified, and the risk level of each node can be dynamically evaluated, so that more accurate security detection is realized.

The invention discloses a multi-modal automatic teaching video generation method and system based on an intermediate file. The analysis module is used for extracting texts and pictures from documents input by a user and constructing a searchable knowledge base. The content generation module retrieves related teaching content texts according to knowledge points specified by a user through calling of a two-stage large language model, and generates an explanation first draft in a free format; and retrieving related pictures, performing format conversion, and combining with the explaining first draft to generate a structured JSON file. The format conversion module is used for converting the JSON file into an intermediate file which can be read by human and can be analyzed by a machine through a predefined template engine; the collaborative review module presents the intermediate file to a user and receives a modification instruction; and the synchronous updating module performs reverse analysis and grammar verification, and updates the original structured data according to the changed content. The material generation module generates corresponding audio and image materials; and the video synthesis module synthesizes the materials into a video file and outputs the video file.

Systems and methods for document transformation and recordation are provided. Documents for a transaction of real property are identified based on a jurisdiction in which the real property is located. Each document includes a plurality of data fields and each data field is associated with a data field identifier. A data value is received in at least one of the data fields of one or more of the documents. The data fields in the documents associated with the data field identifiers that match the data field identifiers of the data fields in which the data values are received are identified. The identified data fields are automatically populated with the data values based on the data field identifiers. Completeness rules are applied to the documents by verifying all required documents for completing the transaction in the jurisdiction are satisfied. Documents or information pertaining the documents can be stored in a blockchain.

A cross-modal collaborative analysis method based on a multi-modal bid invitation file comprises the following stages: a data analysis stage: converting the multi-modal bid invitation file into a picture format, then identifying a content type and cutting to obtain fragment information; processing the table fragment information to obtain structured table data, and processing the picture fragment information to obtain structured picture data; then associating the text fragment information, the table fragment information and the picture fragment information to obtain integrated multi-modal data; a target item extraction stage: extracting a target item in the bid invitation file; and a consistency verification stage: generating a structured analysis result. According to the method, automatic analysis and association of multi-modal information of texts, tables and drawings in the bid invitation file and consistency check conflict detection work are realized, and the problems of splitting of the multi-modal information of the texts, the tables and the pictures, low efficiency and easiness in making mistakes in traditional manual analysis are solved.

The invention belongs to the technical field of vehicle software development, and particularly relates to a method for converting a form file into a graphic program, which is used for converting the form file into the graphic program and comprises the following steps of: reading the form file so as to read text contents and coordinate information of all cells in at least one page of the form file into a corresponding two-dimensional object array, the name of each two-dimensional object array is set as a corresponding page name; analyzing each two-dimensional object array into a flow chart area and an attribute area in sequence according to pages; constructing a graphic program according to an analysis result; and / or converting the graphic program into a table file, including creating table empty pages, the number of the table empty pages being equal to the sum of the number of the main program and the number of the nested subprograms of the graphic program; corresponding table pages are sequentially constructed according to program categories in the graphic program, one page corresponds to the main program, and the other pages correspond to the corresponding nested subprograms; and storing the constructed form file.

The present invention provides a method for digitizing high-speed railway subgrade cross-section design information based on graphic element features. By converting DWG files into DXF format files, basic graphic element information is extracted, and line and arc information and text information are obtained and processed. The extracted object information that may be included in the railway subgrade cross-section drawings is identified and matched based on railway design specifications and the graphic features of each extracted object. Finally, the extracted object information is stored in a database based on the name, type, attribute, and coordinates of the railway line position. The present invention can parse digital drawings of high-speed railway subgrade cross-section designs and extract the required information. The digitized information can be used to verify the drawing information and calculate the engineering quantities in the drawings. It can also provide basic data for further design.

The disclosure provides a software management system and method, relates to the field of artificial intelligence, in particular to cloud computing, cloud operation, edge computing technology, and can be applied to an intelligent cloud scene. A specific implementation scheme is as follows: a software management system, comprising: a center node configured to obtain a service description file, convert the service description file into service data, and determine a mapping relationship table of machine labels and services based on the service data, and allocate machine labels for accessed edge nodes according to a preset label management table; at least one edge node, each edge node being configured to obtain the machine label allocated to the edge node, the mapping relationship table and the service data from the center node, and query the target service corresponding to the allocated machine label from the mapping relationship table, and download and install the file according to the file package information of the target service in the service data. The embodiment realizes the maintenance and construction of service software in advance before the start of the software management service, and decouples the service and the machine.

The invention discloses a protocol decoding method and device, relates to the technical field of computers, and mainly aims to quickly realize protocol decoding on a specified network system. According to the main technical scheme, the method comprises the following steps: presetting a protocol description file corresponding to at least one communication protocol, wherein the protocol description file is used for describing the corresponding communication protocol; determining a target communication protocol and a target programming language adopted by the target system in response to determining to perform protocol decoding on the traffic data of the target system; selecting a first protocol description file corresponding to the target communication protocol from preset protocol description files; based on the target programming language, converting the first protocol description file into a second protocol description file which can be identified by protocol decoding; and based on the second protocol description file, performing protocol decoding on the traffic data of the target system.