104 results about "PageRank" patented technology

The invention discloses a document understanding and question-answering method and system based on multiple modes and multiple agents, and the method comprises the steps: firstly carrying out the preprocessing of a document, generating a text paragraph and a page image, and then employing a retrieval enhancement generation frame to retrieve and query related contexts from two channels of a text and the page image, obtaining a text candidate set and an image candidate set; performing preliminary fusion by using five types of functional agents and forming a candidate conclusion, forming cross-modal key information to limit a subsequent analysis range, performing fine-grained examination and analysis in text and image modalities, and outputting intra-modal conclusions with position indications such as page numbers, paragraphs and regions; and finally, performing consistency analysis and weighted fusion on the multi-source result to generate a final answer. According to the method, the text and the visual clues can be integrated at the same time, the complex multi-modal reasoning capability is improved, and the accuracy in tasks such as document question and answer is improved.

The invention discloses a PDF contract file identification method and system, a medium and a program product, and relates to the technical field of information identification, and the method comprises the steps: carrying out the image analysis of an obtained PDF contract file through employing a deep learning model, generating an editable text, and synchronously identifying the page layout of the document, outputting structured data including page numbers, text paragraphs and coordinate information; performing multi-dimensional feature matching on the text paragraphs according to an adaptive semantic analysis algorithm, a preset contract template library and a dynamic keyword library, and positioning contract core element information; performing entity relationship verification on the content of the contract core element information, correcting an extraction error through dependency syntactic analysis and semantic role labeling, and establishing a contract element data set containing a confidence coefficient weight; and performing serialized packaging on the verified contract element data set to generate a contract element list conforming to electronic signature authentication. According to the invention, the processing efficiency and recognition precision of the PDF contract file are improved.

The invention relates to an intelligent procurement collaboration method and system, and the method comprises the following steps: S1, building a supplier knowledge graph based on multi-source heterogeneous data fusion through employing a graph embedding algorithm, achieving the associated storage of industrial and commercial information, performance records and quality reports through a Neo4j graph database, calculating the weight of a supplier node through employing a PageRank improved algorithm, and carrying out the calculation of the weight of the supplier node; s2, based on the three-dimensional supplier portrait matrix, using an improved collaborative filtering algorithm to carry out demand matching, analyzing a purchase demand document through an ElasticSearch semantic analysis engine, combining TF-IDF weighted cosine similarity calculation to realize intelligent recommendation, and generating a purchase demand scheme with a weight score. The supplier knowledge graph is constructed through the multi-source heterogeneous data fusion and graph embedding algorithm, the scattered industrial and commercial information, performance records and quality reports are stored in an associated mode, traditional data island limitation is broken through, and effective integration of supplier multi-dimensional features is achieved.

The invention discloses a question answering method for low-altitude multi-modal fusion retrieval, which comprises the following steps of: extracting visual information of a document, generating structured description by utilizing a fine-tuning multi-modal visual language model, and performing semantic alignment to form a context enhancement fragment; inputting the fragments into an embedded coding model to construct a high-dimensional semantic vectorization library, and establishing a keyword retriever based on BM25; when a user inquires, vector and keyword retrieval results are weighted through a weight adaptive fusion device, reordering is carried out through a pre-trained expert model, and Top-k high-correlation evidence fragments are screened; top-k fragments are injected into a question and answer template, a large language model is called to generate a final answer, a document name and a page number are attached, evidence traceability is achieved, and meanwhile dynamic retrieval and parameter adjustment in a multi-session and multi-task environment are supported.

The invention provides a PDF analysis method and system based on image-text semantic alignment, and belongs to the technical field of document processing. The method comprises the following steps: reading PDF or picture file byte data, and converting pictures into PDF byte data in a unified format; creating an image and a Markdown directory according to the output directory, the PDF name and an analysis method; extracting byte data of a specified page of the PDF according to starting and ending page numbers; selecting a back end to analyze PDF byte data to obtain a reasoning result, an image list and the like; generating an intermediate JSON containing PDF detailed information according to an analysis result; analyzing the positions of the text and the picture, and associating information to realize semantic alignment of the picture and the text; and generating multiple types of machine readable files according to the intermediate JSON and storing the files in a specified directory. According to the method, the PDF multi-mode content can be accurately extracted and subjected to semantic alignment, the PDF multi-mode content is efficiently converted into a machine readable format, the analysis accuracy and usability are improved, and the method is suitable for PDF analysis of multiple image-text tables such as scientific and technical literatures.

The invention relates to the technical field of parameterization modeling, in particular to a construction drawing intelligent design optimization method and system based on parameterization, and the method comprises the following steps: extracting boundary and annotation information, judging the orientation and affiliation relation of components, analyzing the coordinates of end points, adjusting the order of side lines, calculating the occupation offset, comparing the positions of intersection points, recognizing preorder nodes, and sorting. Extracting junction point distribution to judge a contact range and a connection relation, and determining a drawing page number by combining a component starting point and a path direction. According to the method, the spatial affiliation relation of the components is established through geometric boundaries and labeling information, the trend is adjusted according to the included angle difference value of side lines, the connection strength is recognized by combining the joint angle and the contact range, the drawing sequence is deduced according to the serial number sequence and the intersection point sequence, and the component combinations are continuously divided through attachment sections. The drawing page distribution is positioned based on the starting point of the component and the path direction, dynamic cooperation of component arrangement, sequence organization and drawing splicing is achieved, and the accuracy of component structure expression and the integrity of construction drawing generation are improved.

The invention discloses an electronic archive intelligent data management method and system based on a large model. The method comprises the following steps: firstly, acquiring an electronic archive file, performing unified access, identifying a text through an OCR (Optical Character Recognition) technology, and reserving original layout coordinate information; analyzing the document page by page to generate a page-level structured object containing text and position mapping; then, on the basis of a preset domain prompt template, calling a large language model to extract file metadata from the page-level object, recognizing entities and relationships in combination with file knowledge ontology, and generating a semantic triple containing an evidence source page number; and finally, fusing the metadata and the triple to construct an electronic archive knowledge graph with a page-level traceability function. According to the invention, through a whole-process semantic governance mechanism from access, analysis to knowledge generation, the problems of difficult analysis of unstructured data, weak semantic understanding and lack of traceability in traditional archive management are effectively solved, and the intelligent level and data credibility of archive governance are significantly improved.

The invention provides a content awareness and intelligent routing document analysis method and device, equipment and a medium, and relates to the technical field of artificial intelligence and natural language processing. The method comprises the steps of performing content perception on a to-be-recognized multi-modal document, and extracting a multi-dimensional feature vector of each page of the to-be-recognized multi-modal document; a preset routing decision model is adopted to route the multi-dimensional feature vectors, and a document analysis tool of each page of document is determined; carrying out statistics on document analysis tools of multi-page documents of the to-be-identified multi-modal document to obtain analysis page numbers of the document analysis tools; according to the analysis page number of each document analysis tool, calling each document analysis tool to analyze a document corresponding to the analysis page number to obtain a local analysis result; and integrating all the local analysis results to generate a target analysis result of the to-be-identified multi-modal document. According to the method, the selection and use threshold of a document analysis tool can be reduced, and the efficiency, quality and automation degree of document analysis are improved.

The invention provides an intelligent file evaluation method and system based on cooperation of a multi-modal large model and a rule engine, and the method comprises the steps: carrying out the multi-modal content analysis of a file file, and generating an analysis result set containing a content segment, a page number identifier, a region position identifier, layout type information and a credibility score; combining the field description text with the anchor point description text to generate a structured evaluation fact set; inputting the set into a rule engine, executing normative rule judgment and generating a verification result with a judgment score; and finally, according to an evaluation dimension aggregation rule result, outputting a dimension score, an overall evaluation score and a question detail item. The system comprises a multi-modal content analysis module, an evaluation fact generation module, a rule engine module and an evaluation result output module. According to the method, high-precision automatic evaluation of complex file documents is realized, the evaluation efficiency and consistency are improved, and the method is suitable for smart office scenes.

The application discloses a code defect automatic repairing method based on code attribute graph and large model, comprising the following steps: collecting code samples, analyzing source code, generating code attribute graph fusing abstract syntax tree, control flow graph and data flow graph, then performing dynamic pruning according to node importance calculated based on node degree, PageRank and data propagation dependency degree, and retaining key nodes to improve graph learning efficiency; extracting features of the optimized graph through GAT, introducing multi-scale coding, and generating graph embedding vectors; combining node importance, screening high-value Token, performing structure-aware semantic embedding, and obtaining more accurate text representation; fusing graph and text vectors to generate comprehensive features, then inserting masks at weakly dependent or high-risk positions; fine-tuning and optimizing the mask positions; inputting the comprehensive features and the mask source code into a pre-trained language model to generate patches, performing multi-task evaluation and reordering, and selecting the optimal patch to complete the repairing.

The invention discloses a semantic structure feature-based ancient book content integrity detection method and system, and relates to the technical field of information processing, the system comprises a data acquisition unit, a chapter integrity analysis unit, a paragraph integrity analysis unit, an integrity comprehensive analysis unit, a result feedback unit and a display terminal; structural features of chapters and paragraphs are accurately extracted by utilizing a semantic structure recognition technology, and the content integrity of the ancient books is comprehensively detected from the aspects of chapters and paragraphs in combination with an integrity analysis model, so that the defect that a traditional means depends on manual proofreading or simple page number comparison and keyword extraction, and the efficiency is high is effectively overcome. According to the method, the problems of typesetting confusion, chapter page missing, quotation omission and fuzzy paraphrasing which are common in the ancient books are difficult to deal with, automatic and multi-level analysis of the structural content and semantic level content integrity of the ancient books is realized, and the detection and recognition efficiency of the content integrity of the ancient books is improved.

A system is provided.SOLUTION: A system comprising: means for inputting a page number read by a user; means for transmitting the input page number to a server; means for analyzing contents based on the page number and generating information of a synopsis, a line of sight, and characters by the server; means for receiving and displaying information from the server; means for inputting a user's question and transmitting the question to the server; means for generating and transmitting an answer based on the question by the server; and means for generating and transmitting an illustration using a AI model by the server.SELECTED DRAWING: Figure 1

The application discloses a document analysis and export method and device based on a multi-modal large model, equipment and a storage medium, and relates to the technical field of computers, which comprises the following steps: generating a task object based on the original file name of a to-be-processed document, determining a to-be-processed task; rendering the current page into a raster image, setting the text content of the current page as a page text clue, determining the to-be-processed analysis main text of the current page based on a prompt word template and in combination with the raster image and the page text clue, obtaining an update request for the analysis main text, calling a multi-modal large model based on the request, the to-be-processed analysis main text and the prompt word template to generate target analysis main text, marking the current page as confirmed based on a confirmation instruction, and storing the corresponding target analysis main text and raster image, generating a document file according to a merging and exporting instruction, and sequentially writing the original file name row, the page number row, the raster image and the target analysis main text into each confirmed page, so that the efficiency of document analysis and export is improved.

This invention discloses a multi-task operation ticket continuous printing system and method. The system includes: a status management module for centrally maintaining and managing the status of tasks, steps, and page numbers during the printing process; a dynamic layout calculation module for real-time measurement and pagination decisions on the operation ticket content, including a paginator unit to determine whether drawing is allowed based on the real-time remaining space on the page; and a structured drawing module for executing page drawing based on the layout calculation results, with its drawing cycle following a "measurement, decision, execution" process and synchronously updating the status. The method, based on the above system, forms a closed-loop control process through four steps: initializing the printing status, performing dynamic layout calculation, performing structured page drawing, and updating the printing status, which is executed cyclically until all tasks are completed. This invention achieves accurate dynamic content adaptation, intelligent pagination, globally continuous page numbers, and unified format output for multi-task, multi-step operation tickets, solving the problems of chaotic layout and difficult status management in existing technologies. The system architecture is clear and easy to maintain and expand.

This invention provides a drug interaction prediction method based on a bidirectional cross-view attention network, belonging to the field of drug interaction prediction technology. The method first constructs a Morgan fingerprint similarity view of the drug, an original DDI view, and a multi-scale diffusion view based on personalized PageRank. Then, a graph convolutional network with shared weights is used to co-encode the multiple views, generating a unified drug embedding representation. Finally, a bidirectional cross-view attention mechanism is used to achieve fine-grained interaction and alignment between the structural and attribute views, and interaction prediction is completed via a multilayer perceptron. This invention effectively alleviates the sparsity problem of the DDI network through multi-scale topology enhancement and achieves complementary enhancement between views using bidirectional cross-view attention, significantly improving the accuracy and generalization ability of drug interaction prediction. It can provide reliable technical support for drug development screening and clinical combined drug safety assessment.

This invention relates to the field of data processing technology, specifically to an intelligent proofreading system and method for electronic document formats based on multi-dimensional verification rules. It includes: a document structure parsing unit; a dynamic verification rule generation unit; an intelligent verification execution unit; and a verification result output unit. This invention eliminates differences in electronic document parsing. After extracting semantic blocks such as titles and body text by a paragraph-level semantic block recognition module, the intelligent verification execution unit calls a multi-dimensional rule set to verify core format elements. The verification result output unit accurately locates the page numbers, paragraphs, and character positions of deviations, generating correction guidelines and multi-format reports containing problem descriptions and compliance examples. This invention solves the problem of the lack of a formal, dedicated proofreading system for core document formats in existing technologies. It can comprehensively identify deviations and clarify the direction of correction, ensuring compliant document circulation while reducing labor costs and improving proofreading efficiency and convenience.

The application provides a method, system, device, medium and electronic equipment for completing a list after deleting a paging list. The application receives a user's request for deleting a target data item in a current paging list, sends a deletion instruction for the target data item to a server, removes the target data item from locally cached list data, acquires the number of locally cached list data after deletion, judges whether the current page number meets a completion trigger condition, wherein the completion trigger condition includes that the number of locally cached list data after deletion plus 1 is less than the number of total list data of the server, calculates a target offset position in response to meeting the completion trigger condition, sends a paging query request to the server according to the target offset position to determine completion data, receives the completion data returned by the server, and appends the completion data to the end of the local list to complete the list. Thus, the application provides a list completion method with low delay, high consistency and no inductance.

The invention provides an engineering specification document processing method and system, and relates to the field of data set production, and the method comprises the steps: generating a chapter index sequence based on the hierarchical number characteristics of an engineering specification document; the method comprises the following steps: converting an engineering specification document into a high-resolution image, identifying text content based on an OCR technology, extracting a numbering mode from the OCR identification content through a regular expression, and accurately matching the numbering mode with a chapter index sequence so as to obtain page numbers and coordinate information of identified chapters; the missing position is calculated according to the coordinate information of the adjacent chapters, and interpolation completion is carried out on the missing coordinate information; calculating the image boundary of each chapter according to the complemented coordinate set, cutting the picture of the engineering specification document according to the image boundary, setting a boundary protection mechanism in the cutting process to maintain the integrity of the text content of each chapter, and finally forming a structured image library which can be directly used for knowledge management and intelligent retrieval. And the engineering specification retrieval efficiency and accuracy are improved.

The invention discloses an intelligent brief report merging method and system based on a large language model. Aiming at the problems of content conflicts, data calculation missing and non-uniform formats in multi-source brief report merging, a man-machine cooperative processing architecture guided by a tree-shaped directory is provided. The method comprises the following steps: structured preprocessing: analyzing to-be-merged brief reports to generate a standard directory tree, and extracting main body unit tags in a character string matching manner; content grading fusion: text type chapter: adding a main body unit identifier to the same-level content of each brief report, and integrating the same-level content into a coherent paragraph by a large language model; according to the data type chapter, entity data is extracted through a large language model, calculation is executed through a Python script, and an analysis text is generated through the large language model; and automatic output: automatically arranging the head, the tail, the font and the page number of the official document by utilizing an automatic generation engine, and generating a downloadable document. Compared with a traditional manual merging mode, the method has the advantages that the efficiency is obviously improved by more than 50%; on the premise that entity extraction is correct, the data calculation accuracy is gt; 99%; and the format compliance of the output document reaches 100% and strictly meets the standard.

This application discloses a method and system for intelligent page number indexing of bidding content based on a large language model, relating to the field of computer data processing technology. The method includes: extracting structured review item information from the bidding documents; extracting text from each page of the bidding documents according to document type to generate a structured text set; extracting the title information of each page; establishing a correspondence between each title and physical page number based on their physical page number position in the bidding documents to obtain the document directory structure; inputting the structured review item information and the document directory structure into a pre-trained first large language model to establish a mapping relationship and obtain the confidence score of the mapping relationship; and obtaining the page number indexing result of the bidding content, including the physical page number range and the confidence score of the mapping relationship. This solves the technical problems of low efficiency, inaccurate page number positioning, and severe failure of traditional keyword mapping methods in existing technologies.

1. Name of the product in this design: Bookmark. 2. Purpose of this design: This design is used to fix page numbers in books. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model. 5. Other situations requiring explanation: Other explanation: The extended and bent parts in the view are made of transparent material.

The application discloses a kind of based on vision's document analysis method and system, applied to intelligent identification technical field, method includes: first artificial intelligence model is split into multiple fragment documents with target source document, and obtains the meta-information corresponding to fragment document;Second artificial intelligence model is parsed according to meta-information to all fragment documents to generate corresponding analysis fragment and join pagination anchor in analysis fragment, third artificial intelligence model is abnormal analysis and repair to analysis fragment;Pagination anchor is the page number identification corresponding to each fragment document;The final analysis fragment obtained is spliced to form the complete analysis document of target source document.This application is combined by intelligent splitting and parallel analysis, and is supplemented with comprehensive abnormal monitoring and recovery mechanism, effectively overcome the context length limit of existing large artificial intelligence model, guarantee the semantic and structural integrity of content unit after splitting, improve processing efficiency and system stability.

The invention discloses a medical review system document uploading quality control method and device, and the method comprises the steps: obtaining a hospitalization expense list document picture to be uploaded to a medical review system, carrying out the OCR recognition of the hospitalization expense list document picture, and obtaining a picture character recognition result; page number extraction is carried out on the picture character recognition result, wherein the page number extraction comprises the current page number and the total page number; judging whether the number of the hospitalization expense list document pictures to be uploaded is the same as the total page number; if the number of the hospitalization expense list document pictures to be uploaded is smaller than the total page number, performing incomplete uploading prompt to the user; if the number of the hospitalization expense list document pictures is equal to the total page number, the current page number of the hospitalization expense list document pictures is judged repeatedly, and if the current page number of the hospitalization expense list document pictures is not repeated, a correct prompt is uploaded to a user. According to the invention, the situation that the medical examination and verification effect is not ideal due to the fact that individual data is forgotten to be uploaded is avoided, and later maintenance can be quickly and accurately carried out.

The application provides a page turning broadcast regulation method and device, computer equipment and a storage medium. The method comprises obtaining a page turning touch state parameter of a book page turning shaft sleeve; performing page turning equivalent normalization processing on the page turning touch state parameter and a preset touch state parameter to obtain a page turning touch normalization quantity; and sending a page number signal to a book page broadcast system according to the page turning touch normalization quantity to adjust the page number corresponding to the selected book page content. The current turning triggering condition of the book page turning shaft sleeve is collected by obtaining the page turning touch state parameter, the page turning touch state parameter and the preset touch state parameter are processed correspondingly to obtain the turning book page state difference degree between the two, and finally, the page number signal is sent according to the turning book page state difference, so as to adjust the page turning number of the book page card and effectively improve the reading content broadcast accuracy.

The invention discloses an actuator distributed fault diagnosis method and device based on Spark graph calculation, relates to the technical field of industrial automatic control system fault diagnosis, particularly discloses an actuator distributed fault diagnosis method and model based on Spark graph calculation, and solves the problems of high fault concealment, fast propagation and high fault diagnosis efficiency of an actuator under complex working conditions. And a traditional diagnosis method is low in precision and poor in real-time performance. According to the scheme, the dependency graph model is constructed, and efficient fault positioning is realized in combination with a Spark distributed computing framework. On the basis, an algorithm fusing similarity analysis and PageRank is provided, the node importance in the graph is quantified, and the tracking efficiency of a fault propagation path is optimized. According to the method, through Damadics data set verification, the accuracy and efficiency of valve fault diagnosis can be effectively improved. According to the system, the detection of the actuator and the application of a graph calculation algorithm are realized, and the fault diagnosis capability of the actuator is remarkably improved.

This invention relates to the field of parametric modeling technology, specifically to a parametric-based intelligent design optimization method and system for construction drawings. The method includes the following steps: extracting boundary and annotation information to determine component orientation and attribution; analyzing endpoint coordinates to adjust edge line order and calculate occupancy offset; comparing intersection positions to identify and sort preceding nodes; extracting intersection point distribution to determine contact range and connection relationship; and determining drawing page numbers based on component start point and path direction. In this invention, spatial attribution relationships of components are established through geometric boundaries and annotation information; the orientation is adjusted based on the difference in edge line angles; connection strength is identified based on intersection angles and contact ranges; the drawing order is derived according to numbering order and intersection sequence; component combinations are divided using the continuity of fitting segments; and drawing page number distribution is located based on component start point and path direction. This achieves dynamic coordination of component arrangement, sequential organization, and drawing splicing, improving the accuracy of component structural expression and the completeness of construction drawing generation.

This invention discloses a multimodal document question answering method, medium, device, and product based on graph structure, relating to the field of document question answering technology. The method includes: slicing a PDF document to extract data blocks; semantically aggregating the text content of all text blocks on the same page to generate a page summary; identifying the logical structure of the PDF document and extracting workflow nodes; constructing a directed graph, whose nodes include data block nodes, workflow nodes, and page summary nodes; dividing the three types of nodes into three levels according to the directed graph; performing a progressive retrieval strategy based on user queries to obtain a candidate context set; and generating an answer based on the candidate context set. This invention can achieve precise navigation of the document's physical structure, improve the accuracy of understanding complex documents, and filter out high-similarity noise.

The application discloses a component data manual query method, device and equipment and a storage medium, and the method comprises the following steps: obtaining a query field input by a user, and obtaining a target component data manual based on the query field; traversing a preset keyword dictionary, and judging whether the query field exists in the preset keyword dictionary; if the query field exists, obtaining a target mark code corresponding to the query field; obtaining and displaying a target data page page code corresponding to a target keyword in the target component data manual based on the target mark code, so that the user can quickly locate a target data page based on the displayed target data page page code. Different from the existing component data manual query method, the application can obtain the target component data manual based on the query field input by the user, and quickly locate the target data page page containing the component attribute required by the user based on the query field and the preset keyword dictionary, so that the efficiency of the user inquiring the component attribute is improved.

The invention discloses a data query control method and related equipment, and relates to the field of databases, and the method comprises the following steps: obtaining to-be-queried page number information and data size information of each page of a user; based on the to-be-queried page number information and the data size information of each page, determining sorting sequence number information of the to-be-queried data; to-be-queried data is obtained from a cache unit and / or an original storage unit of a target database according to the sorting sequence number information, all data information of the target database is stored in the cache unit and the original storage unit, and the cache unit and the original storage unit do not store data repeatedly; the target database comprises a plurality of storage table units, each storage table unit comprises at least one cache unit and at least one original storage unit, and data stored in the cache units are generated based on data history query information.