52 results about "HTML5" patented technology

The invention discloses an intelligent document writing system based on a large language model, belongs to the technical field of natural language processing and intelligent office crossing, and aims to solve the technical problems of how to realize intellectualization, standardization and high efficiency of a whole document writing process and improve document writing efficiency and accuracy. According to the technical scheme, the system comprises an input layer, a core layer and an output layer; the input layer comprises a multi-modal input interface and a demand analysis engine; the multi-mode input interface is used for voice input and text input; the demand analysis engine is used for text recognition and automatic element providing, and only subject fields can be filled and document unit fields can be received; the core layer is used for adopting a mixed training strategy of comparative learning and curriculum learning, improving professional field content generation capability, integrating format verification and an OCR feedback mechanism, ensuring document format compliance and supporting a quick response mechanism of standard updating; and the output layer is used for realizing export and version management of documents in standard DOCX, signature PDF and HTML5 formats.

The invention provides a method for generating a system architecture diagram by automatically optimizing a cue word-driven reasoning large model. The method comprises the following steps of: preparing a multi-mode and reasoning large model and a sample data picture; generating content description and an initial layout requirement text; inputting the combined cue words into a large reasoning model, generating an HTML5 code, and converting the HTML5 code into a target picture; comparing the similarity between the target picture and the sample layout by the multi-modal model, and outputting a difference if the similarity does not reach a threshold value; and optimizing the layout requirement text based on the difference, and iterating until the similarity reaches the standard. Through cross-modal model collaboration, cue word closed-loop optimization, multi-role expert simulation and other technical innovations, the core pain points of strong manual dependence, insufficient flexibility and limited accuracy in traditional system architecture diagram generation are effectively solved, the technical spanning from passive auxiliary drawing to active intelligent generation is realized, and the system architecture diagram generation efficiency is improved. And the method has remarkable advantages in the aspects of automation degree, adaptability and generation quality.

The invention discloses a visual cabinet based on JavaScript and Vue.js. A modularized architecture based on Vue is adopted to split a cabinet, equipment and a U bit into reusable UI components, the UI components comprise a cabinet component, an equipment component and a functional module, and the cabinet component is formed based on Rack.vue; the equipment component is formed based on Server Unit.vue, and is used for rendering different icons and status indicator lamps according to equipment types and supporting dragging to adjust the position of a U bit; the function module comprises a front-end framework, a UI (User Interface) library, a state management sub-module, a dragging library and a rear-end interaction sub-module; the front-end framework is Vue 3 Compression API (Application Program Interface) composite TypeScript, the UI library is composed of an Element Plus basic component and SVG / D3. Js used for customizing graphs, the state management sub-module is Pinia, and the drag library is Vue Dragable or native HTML5 dragmp; and the Drop API and the rear-end interaction sub-module are formed by compounding Axios with a WebSocket used for pushing real-time data. The invention further discloses a creation method. The method comprises the following steps: creating an overall skeleton based on HTML; rendering and beautifying the style based on the CSS; various operations are performed, the remaining capacity is automatically calculated, and machine information is displayed for verification.

The invention provides a list item anchor point positioning method and system based on bidirectional loading, a program product, equipment and a storage medium, and relates to an anchor point positioning technology in a mobile equipment Html5 long list loading scene. The method comprises the following steps: receiving an anchor point identification request in response to user operation; a bidirectional loading strategy is adopted, and data blocks containing anchoring list items and front and back preset ranges of the anchoring list items are requested; rendering a list page, and rolling to an anchoring list item to complete anchor point positioning; and monitoring the rolling operation of the user, continuously triggering bidirectional loading, and supporting the user to seamlessly browse a complete list. According to the method and the device, the technical problem that anchor point positioning cannot touch the list item before the initial loading range due to a one-way loading mechanism in the prior art is effectively solved, accurate anchor point positioning of the list item at any position in the Html5 long list is realized, a user is supported to seamlessly browse the complete list content after anchor point positioning, and the user experience is improved. And the anchor point positioning browsing experience of the user under the scene of the long list of the Html5 page of the mobile equipment is obviously improved.

A method for implementing an HTML5-based motion sensing game includes: in response to determining, upon a client is started, that a main program of the HTML5-based motion sensing game is not buffered locally in a user terminal, the client establishing web-view communication with the main program in a server; the client obtaining user's motion pose data from the user terminal and converting the motion pose data into a game operation instruction based on a preset algorithm; the client sending the game operation instruction to the server for execution thereof; the client buffering the main program from the server to the user terminal locally while accessing the main program in the server; and in response to determining that the buffering of the main program cache is completed, the client disconnecting from the server and accessing the main program locally to send the game operation instruction thereto.

A terminal access control system uses HTML5-based graphic acceleration for the secure retrieval and transmission of image data. The system detects a Remote Desktop Protocol (RDP) access attempt and identifies an acceleration target by checking if the category of retrieved information corresponds to an HTML5-transmittable image. A Graphic Acceleration Processing Unit (GPU-equipped) performs the HTML5-based acceleration process, analyzes image frames, and generates processed image information for secure transmission. A Viewing Access Control Unit then verifies the processed data against security policies received from a linked policy server. If the security policy is satisfied and the user is logged in, an Image Restoration and Output Unit performs a decryption and restoration process on the received information, outputting the final image content based on the original request.

The application discloses a mobile terminal HTML5 picture display and uploading method based on VUE3 development, and comprises the following steps: a picture display screen is written by using a native HTNL language, and a picture address is judged by a urlGet method; a local mode is used when a picture is selected for the first time, and an online mode is preferentially used in other cases, and display verification is carried out through a urlVality module; after address verification, picture information is acquired in an evenlyView function, layout calculation is carried out on multiple pictures, and finally the selected pictures are displayed in a waterfall mode; by clicking the displayed pictures, an imgPreVicw component is entered to display in full screen; on the basis of a public component axios, a picture reading function imgFileGet is encapsulated, a picture local address is read, and a Blob stream form is returned, and a picture format suffix is uniformly modified and uploaded.

According to the Konva-based design method for adapting to the Html5 page of the mobile terminal provided by the invention, a part of entity classes are packaged on the basis of Konva, so that the Konva-based design method has a business strong correlation method; in the serialization process, an original serialization method of Konva is expanded, a metadata set is constructed for each element node, and specified service association attribute data is stored in the metadata set; according to the method, a method for generating a Canvas canvas from JSON data in an original deserialization method of Konva is abandoned, a deserialization method for mobile terminal adaptation is reconstructed, and in the deserialization method for mobile terminal adaptation, each element node in a design drawing is described by a virtual DOM node; and a real DOM structure is generated and hung on the HTML container mounted on the mobile terminal, so that the webpage based on the Konva design can be normally and accurately displayed on the mobile terminal.

This invention discloses a virtual physics experiment method and system based on a lightweight front-end architecture. It employs a lightweight front-end architecture using a Python backend combined with JavaScript, HTML5 Canvas, and CSS. Through standardized operation parsing and real-time communication via WebSocket, it calls multi-dimensional physical models for frame-by-frame calculation at 60fps. Layered collaborative rendering using Canvas and CSS enables physics-driven vector drawing, and parameterized vector scale generation solves the problem of magnification blurring. A semantic control mechanism for experimental specifications is constructed, supporting incremental circuit topology recognition and free construction. A multi-model instance pool reuse scheduling mechanism enables rapid switching between multiple scenarios. This invention can run smoothly on multiple terminals without plugins, balancing simulation realism with teaching interactivity.

The invention relates to the technical field of information, and discloses a digital marketing platform construction method and device, equipment and a storage medium, and the method comprises the steps: integrating data from a plurality of data sources in a preset integration environment, and obtaining integrated data; establishing an extensible data index library according to the business requirements and the integrated data, wherein the data index library defines and classifies a series of quantitative indexes according to the business requirements; developing a cross-platform adaptive HTML5 template library based on business requirements and integrated data; calling a plurality of data analysis and visualization tools; an automatic workflow is deployed, a digital marketing platform is constructed through a data index library, an HTML5 template library and a plurality of data analysis and visualization tools according to the automatic workflow, an extensible data index library is established according to business requirements, and a cross-platform adaptive HTML5 template library is developed, so that marketing activities can quickly adjust strategies according to market changes, and marketing efficiency is improved. And the flexibility and adaptability of marketing work are enhanced.

A method and apparatus for streaming media without installing a plug-in in a web browser are provided. When a JavaScript decoder is used to stream media without installing a plug-in, it is difficult to support decoding of high framerate and high resolution video due to the limitations of JavaScript. When streaming media using a video element of HTML5 without installing a plug-in, a compatibility issue with a conventional video capturing apparatus using RTSP / RTP and an initial delay problem due to a container of MPEG-DASH are inherent. The present disclosure presents an adaptive media streaming method and apparatus capable of performing streaming of high framerate and high resolution video without an initial delay and compatibility issues by addressing these drawbacks.

The invention discloses a fragmented streaming multi-format collective lesson preparation method, and belongs to the field of education informatization. According to the method, a lesson preparation book is created in a lesson preparation center, fragmentation management of class hour content is achieved, and multi-role cooperation of main and standby teachers, teaching and research groups and the like is supported in combination with visual adjustment and permission allocation. And a CRDT algorithm is adopted to realize multi-user real-time collaborative editing, and uploading and online processing of multi-format resources such as fusion texts, audios and videos, PDF, PPT and the like. The system has the functions of version tracking, change monitoring and keyword early warning, and related teaching content is intelligently recommended through a knowledge graph. And one-key export of formats such as SCORM, HTML5, PDF and the like is supported, and the formats are pushed to a third-party platform, so that the standardization, flexibility and intelligent level of collective lesson preparation are effectively improved.

A system and method for transferring host data from a host server to a user device during a KVM session using an HTML5 KVM / virtual media client running in a web browser on the user device is disclosed. The user device can run a web browser that allows the user to select an image file, which then appears as a new drive letter (e.g., a virtual drive) on the server system to be managed. The system and method circumvents the problem of a read-only virtual drive being unable to transfer files back to the user device's HTML client by modifying the original files received from the user device. These files are packaged and sent back to the user device via a persistent sandbox. In this way, important log files and other data files generated from the host server can be received by the user device through a user-friendly web browser.

The invention provides an HTML5 page processing method and device, equipment and a storage medium, and the method comprises the steps: determining an original page language of an HTML5 page, and triggering automatic translation of an original page text of the HTML page and accurate target language translation text replacement when it is detected that the original page language is inconsistent with a system language and meets a preset triggering condition, so that the HTML5 page is automatically translated. According to the method, efficient translation of HTML5 page content is achieved, user operation is reduced, the experience of a user in cross-language interaction is improved, and the user operation experience feeling is improved.

The application discloses a short video generation method, and belongs to the technical field of video production. The method comprises the following steps: setting a webpage editor, performing user information registration verification, uploading video materials in the webpage editor when the verification is successful, performing target video production, producing webpage animation in the webpage according to a time axis through the rendering function of HTML5, rendering the obtained webpage animation through a browser, rendering each frame of picture in the webpage animation to the display memory of a display card, and generating a video in a corresponding format according to the rendered picture and corresponding audio. The method can produce a short video through drawing webpage animation in a general browser. The method does not need professional software, and can directly use the browser to render and generate a short video. Moreover, a template library is established, the user can conveniently produce a video, the template library is dynamically updated according to the use data of the user, and the template library gradually becomes more in line with the use habit of the corresponding user.

The invention is suitable for the technical field of interactive page optimization, and particularly relates to an intelligent interactive page optimization method and system combining HTML5 and AI technologies, and the method comprises the steps: obtaining a button list of an interactive page; determining all operation paths reaching the target button; obtaining sub-complexity according to all the operation paths of the target button and the button attributes of the buttons of the paths in the operation paths; and obtaining the total complexity according to the sub-complexities of all the buttons. In the method, all buttons of an interaction page and attributes of the buttons are obtained firstly, then an operation path reaching a target button is determined, then sub-complexity of the target button is obtained through analysis in combination with the operation path and the button attributes of an operation path path button, and finally sub-complexity of all the target buttons is obtained in combination with the sub-complexity of all the target buttons. The total complexity of the whole combined page is obtained, and the optimization of the whole interactive page can be effectively quantified or described.

The present application discloses a PDF file processing method and system, which obtains the number of pages of a PDF file to be previewed, and creates a canvas container according to the number of pages of the PDF file to be previewed; the number of canvas containers is consistent with the number of pages of the PDF file to be previewed, and the canvas container is rendered through predefined elements, the PDF file to be previewed is associated with the rendered canvas container, the PDF file to be previewed in the canvas container is read, and the PDF file to be previewed is loaded into a preset page. Through the above scheme, a canvas container is created according to the number of pages of the PDF file to be previewed, and the number of canvas containers is consistent with the number of pages of the PDF file to be previewed, so that the canvas container can store the PDF file to be previewed, and the PDF file to be previewed is loaded and displayed through the HTML5 framework, which can maintain the output of the PDF file while being compatible with cross-screen, so that the user can preview the content of the PDF file, improving the user experience.

The invention discloses a database fortress resource management and control method based on an HTML5 technology, and relates to the technical field of database fortress resource management and control, a user network segment, a fortress machine network segment and a database network segment are constructed, the database network segment and the user network segment are isolated by the fortress machine network segment, and a user can only access the fortress machine network segment and access the database network segment through the fortress machine network segment; setting a management and control strategy, dynamically intercepting the high-risk operation, and dynamically desensitizing the sensitive data; auditing analysis is carried out through a decision analysis system, and a popularity database and resource demand prediction are analyzed.

The application provides a method and system for user information communication synchronization, which can be applied to the technical field of data processing. A user terminal receives a login request sent by an html5 terminal, performs a user login operation, and the login request includes a uniform resource locator to be accessed after the user login is successful; login credential information of the user login operation is obtained, the login credential information is spliced with the uniform resource locator to obtain a target uniform resource locator; and the target uniform resource locator is sent to the html5 terminal; the html5 terminal receives the target uniform resource locator, extracts login credential information from the target uniform resource locator, and obtains user information based on the login credential information. In this way, the login credential information of the user login operation is carried in the uniform resource locator and sent to the html5 terminal, the login credential information is extracted by the html5 terminal, and the user information is obtained based on the login credential information, so that the communication efficiency of the user terminal and web service can be improved.

The invention discloses a work display adaptive typesetting method and system based on big data, and relates to the technical field of adaptive typeset.The method comprises the following steps that a first word vector and a second word vector corresponding to work information are matched according to the work information, dominant features and implicit features of a work block are generated, and the dominant features and the implicit features of the work block are obtained; and regulating and controlling the first typesetting information according to the dominant features and the recessive features. Elements such as fonts, colors and blank spaces are ensured to be aligned with the work block labels through the dominant features, typesetting and content sublines are synchronized through the recessive features, the sense of violation is remarkably reduced, the same system can seamlessly process various styles such as images and texts, plain texts, interactive HTML5 and short video covers, a template library does not need to be manually preset, and the method is simple and convenient to operate. Interacting data such as user staying duration, hot area clicking and scrolling depth are subjected to online backflow, the word vector and feature extraction model is continuously and finely adjusted, and the typesetting effect is automatically optimized along with data accumulation.

An optimized personalized advisor digital twin training engine employs a custom-configured LSTM neural network and BERT-based natural language processing to create advisor-specific digital twins, simulating real-time client interactions in wealth management. Adaptive refinement using a proprietary Q-learning-based reinforcement learning algorithm ensures at least 95% behavioral accuracy with latency below 5 milliseconds, while proprietary rule-based templates embed financial compliance requirements. Delivered via a Moodle-compatible HTML5 platform with performance analytics achieving at least 90% scoring accuracy, and logged in a Corda blockchain with a custom protocol for auditability, the system enhances training effectiveness and supports cross-firm scalability as of Dec. 2, 2025.

This application relates to the field of interactive page optimization technology, and particularly to an intelligent interactive page optimization method and system combining HTML5 and AI technologies. The method includes: obtaining a list of buttons on an interactive page; determining all operation paths to a target button; obtaining sub-complexities based on all the operation paths to the target button and the button attributes of the buttons along those operation paths; and obtaining the total complexity based on the sub-complexities of all the buttons. In this method, all buttons on the interactive page and their attributes are first obtained, then the operation paths to the target button are determined. Subsequently, the sub-complexities of the target button are analyzed by combining the operation paths and the button attributes of the buttons along those operation paths. Finally, the total complexity of the entire interactive page is obtained by combining the sub-complexities of all the target buttons, which can effectively quantify or describe the optimization quality of the entire interactive page.

The invention provides an arc-shaped character rendering method and system based on HTML5 Canvas, and relates to the technical field of electric digital data processing. The method comprises the following steps: performing all complex layout calculation in a virtual canvas which is independent of a real canvas size and is created according to a preset multiplying power, accurately calculating the total arc length required for expanding a character along an arc line according to text content and configuration, and determining the accurate position and posture of each character on the arc line, so as to improve the accuracy of the layout calculation. Therefore, a high-precision initial arc-shaped character image is generated. Dynamically calculating a tight virtual bounding box for the initial image; and comparing the size of the bounding box with the size of the virtual target display range to obtain a global adaptive scaling, applying the scaling to the initial arc-shaped character, performing final adjustment in combination with a preset magnification, rendering the initial arc-shaped character to a real canvas in a high-fidelity manner, and outputting a final image. The complete and undistorted rendering effect of the characters along the arc-shaped path in a non-preset and diversified canvas scene is realized.

The invention relates to the technical field of research and development management, and discloses a file previewing method and device, computer equipment and a storage medium, and the method comprises the steps: analyzing a link of a to-be-previewed file, and determining a target file structure and a target parameter of the to-be-previewed file; and through the HTML5 blank page, the target structure and the target parameter, generating a target file preview page corresponding to the to-be-previewed file. By means of the mode, the to-be-previewed file link is analyzed, the target file structure and the target parameters are determined, and self-defined styles and tools are provided for different files. In view of the fact that the HTML5 technology has high application compatibility, corresponding preview pages are flexibly generated according to different file structures and parameters, file preview requirements of various different formats and contents are met, the method has high universality and adaptability, and the method can be applied to the field of financial science and technology services and has wide application prospects. And the flexibility of the file previewing function in the financial science and technology business field is improved.

The invention relates to the technical field of computer software, in particular to a multi-task uploading method and system based on JavaScript, comprising creation and management of multi-task uploading tasks, server task processing and state updating, file fragmentation, concurrent uploading and progress monitoring, merging and subsequent processing of uploading results, and an error processing and fault-tolerant mechanism. The method has the beneficial effects that a multi-task uploading function is realized through the JavaScript code, a user is allowed to upload a plurality of files at the same time, and the uploading efficiency is improved; a file is read and uploaded by using a File API (Application Program Interface) of the HTML5; the Ajax technology is used for communicating with a background server, and file content is transmitted to the server for storage; processing feedback when uploading succeeds or fails is achieved through a callback function; the multi-task uploading function which is simple, easy to use, efficient and fast is achieved.

The invention relates to an HTML5 page debugging system, method and device and a storage medium. The system comprises a debugging subsystem and at least one debugging platform, and the debugging subsystem is used for creating a debugging container corresponding to the debugging platform according to a debugging template configured for the debugging platform in advance and address information of a to-be-debugged HTML5 page. The debugging subsystem is further used for obtaining information of the debugging container in response to an information obtaining request of the debugging container and sending the information to the debugging platform, the debugging platform is used for obtaining address information of the HTML5 page according to the information of the debugging container and opening the HTML5 page according to the address information of the HTML5 page, and the debugging platform is further used for debugging the HTML5 page according to the debugging template. By the adoption of the method and device, cross-platform HTML5 page debugging can be achieved.

The invention provides a generating method based on power grid data topological graph rendering and alarm display. The generating method comprises the steps of receiving power grid topological data; calling HTML5 to generate a canvas and a data container; analyzing the topological data of the power grid and analyzing data types, wherein the data types comprise a node data type and a connection data type; if the data type is the node data type, binding nodes and displaying node states; if the data type is the connection data type, generating a connection according to the direction and displaying a connection state; and based on the node state and the connection state, rendering a power grid topological graph in real time and displaying alarm information. The development and maintenance workload can be reduced, and the deployment and use range of the system is widened.

Methods and apparatus for a flexible Deterministic Finite Automata (DFA) tokenizer for AI-based malicious traffic detection. A DFA compiler is used to process profiles, such as SQLi, HTML5 and XSS profiles, as well as user-defined profiles, to generate corresponding DFA transition tables. The DFA tokenizer includes a DFA engine that employs the DFA transition table(s) to generate token sequences derived from input strings. The token sequences are converted into feature vectors using a feature extraction engine, and the feature vectors are used for training a machine learning / Artificial Intelligence (AI) model configured to perform binary classification (benign or malicious). During run-time, strings are extracted from input received via a network and tokenized with the DFA tokenizer to generate token sequences that are converted into feature vectors. The feature vectors are then classified using the AI model to determine whether the input is benign or malicious.

The invention discloses a method and system for drawing a target object based on HTML5Canvas, and the method comprises the following steps: collecting a to-be-drawn target object set, and constructing the to-be-drawn target object set as a node; performing feature coding on each node, constructing a corresponding feature vector, inputting the feature vector to an improved dependency relationship model, and outputting a dependency judgment result and a dependency strength score between the node pairs; if the dependency judgment result shows that the dependency relationship exists between the node pairs, establishing a dependency edge in the dependency graph; performing topological sorting on the dependency graph to obtain a drawing scheduling sequence; drawing instructions are submitted to the HTML5Canvas in sequence, and associated pixel areas are recorded; whether local topology rearrangement is executed or not is judged; and if the pixel region which is not covered by the updated drawing instruction exists, extracting image data from the previous frame of image, and executing a frame-complementing drawing operation. According to the method, the rendering efficiency and response performance of multi-layer dynamic drawing are improved, and the method is suitable for a high-response drawing system in a complex scene.

The invention provides a cross-platform poster generation method and device, computing equipment and a computer readable storage medium. According to the method, a headless browser and Canvas drawing are combined and applied to the field of game poster automatic generation. Firstly, a headless browser is used for rendering at a server side, complete support of HTML5, CSS3 and Canvas is ensured, and the consistency of display effects of the design at all terminals is ensured; and in combination with a template engine and a Canvas API, poster generation driven by dynamic data is supported. A developer can use an HTML / CSS design template, different user and activity data can be automatically filled through placeholders, flexible layout is achieved, and hard coding of layer coordinates is not needed. All clients call the generation service through a unified back-end interface, and different templates or rendering parameters are automatically selected without repeated implementation for each platform. The scheme of the invention does not depend on a specific platform, is suitable for all environments supporting Chrome / Node. Js, and ensures the consistency of poster styles output by multiple terminals.