241 results about "Document Object Model" patented technology

The invention provides a multi-feature information hidden document integrity verification and tampering positioning method, and relates to the field of network security and digital document protection. The multi-feature information hidden document integrity verification and tampering positioning method comprises the following steps: S1, document multi-dimensional feature extraction and encryption: based on an original Word document, adopting an SHA-3 algorithm to calculate a full-text hash value as a content feature, and extracting document object model features such as paragraph hierarchy, table structure and the like through a DOM tree analyzer; after the two types of features are combined into a feature matrix, a dynamic secret key is generated through Logistic chaotic mapping for XOR encryption, and an encrypted document feature matrix is generated. A dynamic key is generated by combining Logistic chaotic mapping encryption through a multi-dimensional extraction technology fusing document content hash values and structural features, so that the anti-cracking capability of a feature matrix is remarkably improved, the confidentiality of document features in open network transmission is ensured, the block information retention rate is simulated and predicted by adopting Monte Carlo, and the watermark embedding weight is dynamically allocated.

The invention belongs to the field of data processing, and particularly discloses a method and system for automatically generating a document according to a template and structured data, and the method comprises the steps: processing an archive template file according to a document object model analysis method, extracting the position, the type and the associated tag of a placeholder, and obtaining a placeholder metadata set; according to the placeholder metadata set, traversing a document hierarchical nesting relationship by adopting a depth-first search algorithm to obtain a hierarchical placeholder mapping table; obtaining the structured data of the document repair record through an external data source, judging whether the structured data field corresponds to the tag in the mapping table according to the hierarchical placeholder mapping table, and if so, generating a matching pair list from the field to the placeholder to obtain a preliminary matching data set; the objective of the invention is to solve the problem of a business scene in which complex nested data and file template placeholders cannot be accurately matched in a document repair record in the prior art.

The invention relates to the field of document processing, and particularly provides a document format processing method, system, terminal and medium based on a large language model.The method comprises the steps that a generation instruction containing a target document type and a source material are received, and original text content is generated through the large language model integrating domain knowledge; obtaining a matched structured format template, and analyzing the style rule into a format instruction set; identifying logic elements and hierarchical relationships thereof in the original text based on a natural language processing technology; performing association mapping on the format instruction and the logic element, and performing automatic style rendering by calling a document object model interface to generate an intermediate document with a standard format; and finally, outputting after quality verification. According to the method, an automatic process of content generation and intelligent formatting is constructed, and the document writing efficiency and normalization are improved.

Systems and methods for page load timing with visible element detection are disclosed herein. In some embodiments, a method includes detecting an outgoing communication from a browser, detecting a change in one or more document object models (DOMs) visible to a user, automatically logging a start of a span based on the detection of both the outgoing communication and the change in the one or more DOMs, executing operations relating to the one or more DOMs, determining at least one of: attaining a calm state of the one or more DOMs; or a user interaction causing an additional change to one or more DOMs, and automatically logging an end of the span based upon the determining.

The invention provides a VMI warehouse inventory dynamic regulation and control method and system based on the industrial internet. The method comprises the steps that a warehouse digital twinborn model is constructed based on warehouse state information of VMI entity warehouse; constructing an initial DOM (Document Object Model) task structure tree by a plurality of sub-tasks obtained by disassembling the received material warehouse-in and warehouse-out order information according to task execution sequence logic; based on the initial DOM task structure tree, simulating an execution process of a material warehouse-in and warehouse-out task in a warehouse digital twin model, and obtaining an abnormal conflict task; performing task optimization based on the task node and the task type of the conflict task to obtain an optimized execution strategy, and updating an initial execution strategy corresponding to the conflict task in the initial DOM task structure tree based on the optimized execution strategy to obtain a target DOM task structure tree; and carrying out warehouse stock regulation and control on warehouse-in and warehouse-out of the materials in the VMI entity warehouse based on the target DOM task structure tree. The overall warehousing operation efficiency is improved.

The invention relates to a component memory leak detection method and device, computer equipment and a storage medium. The method comprises the following steps: when a component creation event of a to-be-detected component is detected, generating a first heap snapshot corresponding to the component creation event of the to-be-detected component, and when a component destruction event of the to-be-detected component is detected, generating a second heap snapshot corresponding to the component destruction event of the to-be-detected component; analyzing the first heap snapshot and the second heap snapshot, and determining target structured data; component instance nodes are determined, and an information mapping table between node unique identifiers and node information of the component instance nodes is constructed; determining candidate memory leak components according to the information mapping table; and determining a target memory leak component from the candidate memory leak components according to the component-created document object model and the component-destroyed document object model of the candidate memory leak components. And the identification precision of the component memory leak scene is improved.

The invention relates to the field of variable replacement, and discloses a short message variable replacement method based on dynamic template editing, which comprises the following steps of: changing a region into an editable state by using a contentEdible attribute of an HTML (Hypertext Markup Language), and presetting a variable label style in an editing region; a configuration person inserts a variable by clicking a variable tag on an interface, dynamically creates a virtual node by using a creature DocumentFragment method of a DOM (Document Object Model), and inserts the corresponding variable tag into a position where a cursor is located in a special style; when a user clicks or inserts the variable label, using window.getSelection to obtain the position of a cursor in real time; after finishing editing, the configuration personnel click a saving button; the system replaces variable labels in a template with actual content according to a stored variable mapping relation through a template text extracted through code analysis in the background, and the replaced complete short message content is transmitted to a short message service module and is ready to be sent to a target user. The method has the advantage of improving the overall working efficiency and accuracy.

The invention provides a voice interaction control method and device of a browser, electronic equipment and a storage medium, and the method comprises the steps: obtaining a voice control instruction input by a user, and determining a target control intention based on the voice control instruction; obtaining a target document object model tree corresponding to the current webpage of the browser; sending the target control intention and the target document object model tree to a server, and receiving at least one control instruction generated by the server based on the target control intention and the target document object model tree; and executing the at least one control instruction, and controlling the webpage to render an interaction result corresponding to the voice control instruction. In this way, the steps of maintaining and developing each website and exhausting all webpage functions to generate the instruction set can be reduced, and the control efficiency of browser voice interaction control can be improved.

Systems and methods for implemented by a user device for Real User Monitoring (RUM) include operating an add on for a web browser; receiving a list of domains or Uniform Resource Locators (URLs) to calculate RUM data thereon; responsive to the web browser accessing any of the domains or URLs in the list, calculating and storing RUM data; and periodically sending the stored RUM data to a cloud-based system. The RUM data can include statistics, metrics, and errors that are detected based on any of start of navigation, redirects, Domain Name System (DBS), connection establishment and teardown, Hypertext Transfer Protocol (HTTP) request and response start and end, Document Object Model (DOM) load time, page load time, and Java Script and AJAX error detection.

A method for automatically identifying a transactions table in a document includes obtaining a document object model of the document. The document object model includes a plurality of nodes and a plurality of edges, with each of the nodes corresponding to a respective element of the document. The method includes generating a plurality of hash values, with each of the plurality of hash values corresponding to a respective node of the plurality of nodes. The method includes determining the document includes a candidate table based on the plurality of hash values. The method includes generating a textual table based on the candidate table. The method includes analyzing one or more columns of the textual table to determine whether the textual table satisfies one or more criteria. The method includes determining the textual table is the transactions table based on determining the textual table satisfies the one or more criteria.

The invention particularly relates to a Word document format conversion method based on Java. The Word document format conversion method based on Java comprises the following steps: analyzing the content of an original. Doc file, and extracting text paragraphs, tables, pictures, style information and document metadata; the extracted content is divided into different categories, and the XML node type corresponding to each category of elements in the target. Docx document is established; the method comprises the following steps of: constructing a pattern mapping rule base, constructing a new. Docx document structure by using an XWPF Document object model according to an Office Open XML (Extensible Markup Language) specification, sequentially inserting paragraphs, tables and pictures, and applying corresponding pattern configuration; and outputting and generating a. Docx file, detecting and processing abnormal conditions, and recording a conversion log at the same time. The Word document format conversion method based on Java is efficient and accurate, has good compatibility, expandability and cross-platform capability, is suitable for enterprise-level document management systems, cloud services and batch document processing scenes, and remarkably improves document compatibility and processing efficiency of office automation systems.

The invention discloses a visual layout method of business data, a program product, equipment and a medium, and relates to the technical field of visualization, the business data and a component template are decoupled and bound, an arrangement result of a target component is generated based on a sequencing weight and coordinate mapping relation, and a flexible layout and a virtual DOM (Document Object Model) mechanism are combined, so that the visual layout of the business data is realized. According to the method, a user is supported to adjust the sequence of the components in real time through dragging operation, local rendering processing is only executed on the changed components, and the dynamic adaptive capacity and rendering efficiency of the layout are improved while data display consistency is ensured, so that the problems of fixed layout structure, slow response and poor interactivity in the prior art are solved, and the user experience is improved. The technical effects of efficient layout updating, component level multiplexing and low-overhead rendering optimization are achieved.

The invention discloses an intention recognition and multi-path recall dynamic weighted fusion retrieval method and system, and the method comprises the steps: processing heterogeneous data such as PDF and pictures through a fruit industry unified document object model, and constructing a multi-type index through semantic adaptive slicing; after user query is preprocessed, intention categories and confidence coefficients are recognized through a fruit industry fine tuning model; performing keyword, vector and map retrieval in parallel, and dynamically distributing fusion weights based on intentions; performing authority, timeliness and consistency voting arbitration on conflict results; and after the answer is generated, the illusion is inhibited through entity and numerical value verification. According to the method, the problems of poor adaptation, model illusion, data islands and conflict arbitration-free of existing single retrieval are solved, the fruit industry retrieval accuracy and reliability are improved, the agricultural production risk is reduced, and the method is suitable for large-scale fruit industry knowledge service.

The invention discloses a method and equipment for automatically testing a webpage based on a multi-modal large model, and the method comprises the steps: navigating to a target webpage according to an input instruction of a user task, and obtaining a webpage screenshot and a webpage structure; according to the layout information of each element in the webpage screenshot, identifying and marking each interactive element according to the identification position; obtaining interactive nodes and text elements in the webpage structure, and constructing a document object model tree; associated text elements corresponding to the interactive nodes are screened out from the text elements, and page description information is generated; and inputting the user task, the marked webpage screenshot and the page description information into a multi-modal large model to obtain structured operation content, converting the structured operation content into an automatic script, and testing the target webpage, so that manual intervention is reduced through full-process automation, the test coverage, the adaptability and the execution efficiency are improved, a test result is ensured to be more reliable, and the test efficiency is improved. The method is especially suitable for a complex webpage structure and a high-frequency iteration test scene.

The invention discloses a construction method for replacing an iframe embedded page, which comprises the following steps of: replacing an original iframe component with a common component under a front-end framework, and mounting the common component on a DOM (Document Object Model) tree of a main page; obtaining an src link character string which is originally transmitted to the iframe component; analyzing the src link character string, extracting a query character string, and converting the query character string into a parameter object; transmitting the parameter object as an attribute to a common component; and acquiring data in the parameter object by monitoring the change of the attribute in the common component, and driving business logic execution by using the data. Under the condition that routing configuration is not changed, complex control logic is reduced, and the page rendering speed is greatly increased.

Embodiments of the invention relate to the technical field of data processing, and disclose a PDF document generation method and apparatus, an electronic device and a storage medium, the method comprising: obtaining first page data, the first page data being determined by first HTML data input by a user on a target layout style; according to the first page data, a double linked list is constructed, and nodes in the double linked list are used for storing types, contents and styles of HTML elements; converting nodes in the double linked list into document object model (DOM) elements; and generating the PDF document according to the DOM element. By applying the technical scheme, the accuracy of exporting the HTML data into the PDF document can be improved.

The invention relates to the technical field of medical literature translation, in particular to a medical literature translation method based on a large language model and a term library. Comprising the following steps: S1, reading a to-be-translated document to obtain a document object model (DOM); s2, screening out a special format in the document object model; s3, a translation database is constructed, the translation database comprises a term library, a memory library and an abbreviation library, an Aho-Corasick automaton and a vector index technology are used, the document to be translated is matched with the translation database, and a corresponding matching result is obtained for each translation database; s4, using an AI system to provide a matching result in the step S3 for the AI system as a reference, and completing translation of the to-be-translated document to obtain a translated text; s5, in the translated text translated in the step S4, the special format screened out in the step S2 is restored, and the accuracy and specialty of medical literature translation can be improved.

The invention discloses a large language model XPath generation method based on hierarchical composite reward reinforcement learning, and the method specifically comprises the following steps: 1, obtaining HTML (Hypertext Markup Language) source codes and page element information of a target webpage, carrying out the data cleaning, and obtaining structured data containing a DOM (Document Object Model) hierarchical sequence structure and an element attribute value; performing data annotation on the structured data after data cleaning to obtain an annotated data set; 2, selecting a basic model, performing supervision and fine tuning on the basic model by using the annotation data set, and taking the basic model subjected to supervision and fine tuning as a strategy model; constructing a layered composite reward function to perform reinforcement learning fine tuning, so that the output hierarchy of the strategy model is aligned with the input DOM hierarchy, and obtaining a final model subjected to two-stage fine tuning; and 3, generating a standard XPath character string, and outputting structured data matched with the input DOM hierarchy to display layer-by-layer construction logic of the standard XPath character string. According to the method, the stable XPath can be generated, and the generation process is completely transparent and traceable.

The invention relates to the technical field of data processing, and discloses an HTML (Hypertext Markup Language) content intelligent rendering method, device, electronic equipment and system.The method comprises the following steps: acquiring a to-be-rendered HTML code, and constructing a DOM (Document Object Model) tree corresponding to the HTML code according to the HTML code; determining target style information corresponding to the DOM tree based on a preset style analysis algorithm; according to the DOM tree and the target style information corresponding to the DOM tree, constructing a Widget tree corresponding to the DOM tree; based on a preset layout optimization algorithm, performing layout optimization operation on the Widget tree to obtain a target Widget tree; and based on a preset loading strategy, rendering the target Widget tree so as to display page content corresponding to the HTML code in the application program. Therefore, the rendering performance and the rendering accuracy of the HTML content in the mobile application can be improved by implementing the method and the device, so that the user experience of browsing and interacting the HTML content in the mobile application is improved.

The invention discloses a system browser page comparison method and system based on a DOM (Document Object Model) superposition algorithm, and relates to the technical field of webpage structure dynamic analysis, and the method comprises the following steps: carrying out structure analysis on an interaction diagram of an initial DOM structure, constructing an interaction behavior sequence, and obtaining a DOM structure snapshot corresponding to a current page state; constructing a DOM (Document Object Model) snapshot sequence in space-time alignment with the interactive behavior sequence; performing structure preprocessing on the DOM snapshot sequence, extracting common node features of all snapshots, and constructing an aggregated DOM structure; evaluating nodes in the aggregated DOM structure, and filtering invalid nodes according to an evaluation result to generate a purified DOM structure; performing DOM superposition comparison on the purified DOM structure, and identifying a substantive structure change area through hierarchical topology matching; according to the page comparison method and device, by constructing the interaction behavior sequence, generating the DOM snapshots and evaluating the effectiveness of the nodes, in combination with a DOM superposition comparison method, structural variation is extracted, invalid nodes are efficiently filtered, and the problems that in existing page comparison, dynamic interaction change perception is insufficient, structural redundancy interference is large, and the comparison precision is low are solved.

The invention discloses a method and system for packaging a webpage embedded sign language translation JS library, and belongs to the field of electrical digital data processing.The method comprises the steps that by constructing an ECS core architecture with perception feedback, a bidirectional data flow between modules is established to achieve dynamic collaboration of rendering and grammar; predictive streaming resource management is adopted, and resources are intelligently preloaded based on gesture sequence contexts; multi-instance physical isolation is realized by utilizing a sandboxed container and a ShadowDOM (Document Object Model); implementing multi-level adaptive rendering, and dynamically switching a rendering path and a frame rate according to equipment performance; and finally, shielding the bottom layer difference through cross-end unified rendering of the abstraction layer. According to the method, the problems of animation and semantic dislocation, resource loading conflict and poor equipment compatibility in a multi-user concurrent scene are effectively solved, and high-fidelity, low-delay and cross-end consistent experience of sign language translation animation is realized.

A method includes receiving a request to generate one or more test cases, wherein the request specifies a component of a graphical user interface (GUI). The method also includes identifying additional components associated with the component based on the request and a document object model (DOM) associated with the GUI, determining one or more properties associated with the specified component and each additional component of the additional components based on the DOM, generating one or more test cases for the component and each additional component of the additional components based on the one or more properties, and providing instructions to update the GUI. The instructions cause the GUI to indicate the one or more test cases.

Webpage integrity is monitored using hash verification. A hash verification process is implemented to detect unauthorized changes to value field(s) in a webpage's source code and, while the user is conducting an active web session on the webpage, an alert, which may be communicated via the webpage, is generated and communicated to a user in response to determining that there was an unauthorized change.

Apparatus and method for predictive protection of cloud-based applications and services. For example, a web application firewall (WAF) detects vulnerabilities in the data traffic and collects relevant information including, for example, the payload type, structure, and specific vulnerability information. For certain vulnerabilities associated with views, the view document object model (DOM) and history of views may be collected. For vulnerabilities related to API calls, the corresponding the API path and history of API calls may be retrieved. The WAF includes a signature controller which decodes the payload (e.g., the JavaScript Object Notation (JSON) structure) and creates a signature of the vulnerability based on the relevant information including, but not limited to, the API path, the web application domain, and / or the URL path. The WAF distributes collected and generated vulnerability information to web browser extensions of the web application which perform mitigations such as generating notifications when a vulnerability is encountered.

The present disclosure describes a method and apparatus for an error remediation recommendation process based on multiple data sources. Aspects of the disclosure may provide for processing of a knowledgebase to identify error remediation recommendations, processing of a chat log to identify error remediation recommendations, identification of errors from log data, determination of a corresponding error remediation recommendation from the knowledgebase and / or the chat log, and causing display of output indicating a corresponding error remediation recommendation. Further aspects described may also provide for training of an artificial neural network to determine a corresponding error remediation recommendation. Further aspects described may also provide for a browser extension which scrapes the Document Object Model (DOM) of a web page to identify errors.

The invention discloses a multi-modal document processing system and method based on a WPS COM interface, belongs to the technical field of document processing, and aims to solve the technical problem of how to break through semantic limitation of a rule engine and realize deep operation of a document object model. Comprising a WPS COM interface interaction layer, a multi-mode analysis engine, a large model agent module and a conversion execution engine, atomic-scale operation on a document object model DOM is achieved, and document loading, element analysis, format modification and conversion are included; carrying out modal classification and feature extraction on the input data, and carrying out association relationship construction based on the extracted features to generate a standardized structured DOM (Document Object Model) tree; taking the structured DOM tree as input, performing semantic understanding, format mapping and anomaly detection and repair on a document, and generating a document conversion strategy; and converting the strategy generated by the intelligent agent into an executable WPS COM interface instruction sequence.

An AI-driven, self-healing test automation system for WebDriverIO (WDIO), comprising: a. an error catching layer configured to detect when a test step fails due to a missing, moved, or modified UI element; b. an AI-based detection engine configured to analyze the current Document Object Model (DOM), historical test execution data, and element attributes including XPath, CSS selectors, labels, and inner text to identify and evaluate potential alternative UI elements; c. a predictive recovery module that uses pre-trained models such as Long Short-Term Memory (LSTM) networks or transformer-based architectures to predict and select an appropriate recovery action based on the current test context, including repeating the operation, jumping to the next logical step, or redirecting the test flow; d. a dynamic healing process that automatically applies the selected recovery action without requiring manual updates to the test code; e. a feedback learning loop configured to update and retrain the detection and prediction models based on user validation, success metrics, and execution results, thereby improving the accuracy and adaptability of the system over time.

Systems and methods are provided for delivering context-aware assistance through an overlay interface. An overlay rendered on a user device captures content of a host application underlying the overlay via a scan-snap process. Captured content is filtered by privacy controls, transmitted securely to a server, analyzed to determine contextual meaning, and used to generate a response displayed in the overlay. In certain embodiments, capture includes document object model (DOM) snapshots, pixel-buffer screenshots, or fusion of DOM and bitmap data, optionally preceded by lightweight on-device optical character recognition. Mobile embodiments invoke the overlay through gesture inputs, while desktop embodiments employ a clipping interface with live preview of the selected capture region. Enterprise-oriented embodiments enforce policy restrictions, mask sensitive fields, and maintain audit logs, while multi-device embodiments synchronize responses across mobile and desktop sessions. The system thereby enables accurate, privacy-preserving contextual assistance without requiring remote access or manual user explanation.