19 results about "HTML5" patented technology

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.

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.

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.

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 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 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.

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 discloses a gamification man-machine cooperation drawing creation system, and belongs to the field of artificial intelligence, man-machine interaction and gamification systems. The problems that an existing AI drawing platform is limited in user interaction, passive in creation process and insufficient in participation degree are solved. According to the technical scheme, the method is characterized by comprising the following steps of: realizing progressive cooperation between a user drawing one by one and an AI (Artificial Intelligence) through a Stroke-based Painting technology; according to the system, a front-end and rear-end separation framework is adopted, a drawing engine and a modularized interface are constructed at the front end based on HTML5 Canvas, a StrokeGAN model is integrated at the rear end to serve as an AI stroke-by-stroke drawing engine, and real-time transmission and feedback of drawing data are achieved; and meanwhile, a user-dominated guidance mode interaction mechanism and a multi-dimensional gamification achievement system are introduced. According to the method, the participation degree and the dominant right of the user in the AI creation process are improved, man-machine seamless cooperation is realized, and the creation immersion and achievement sense are enhanced through gamification design.

The invention discloses a real-time video playing method and system based on HTML5 (Hypertext Markup Language 5), a medium and equipment, and the method comprises the following steps: a server collects original video data from a video source, carries out the initial coding of the original video data to obtain a coded data stream, and recognizes key frame data and non-key frame data in the coded data stream; dynamically compressing the non-key frame data, preferentially transmitting the key frame data to the client, and then transmitting the dynamically compressed non-key frame data to the client; by identifying the key frame and the non-key frame and respectively adopting different transmission strategies, high playing fluency can still be kept under the condition that the network bandwidth is limited. Furthermore, the technical means of dynamically compressing the non-key frame data enables the system to flexibly adjust the data transmission quantity according to the network state, so that the balance between the real-time performance and the bandwidth adaptability is achieved.

The application discloses a plug-in service framework for a reconfigurable comprehensive terminal, which comprises an application layer, a forwarding layer, a native support layer and a plug-in service layer, wherein the application layer is a front-end page of H5 standard, is responsible for interaction with a user and display and update of an interface; the forwarding layer is mainly used for receiving and forwarding of user requests and service responses; the native support layer mainly comprises two components, namely a rendering engine and an eTS engine; and the service layer mainly comprises a plug-in service engine and various peripheral service devices; and the plug-in service engine is constructed between an application program and an operating system, supports the HTML5 standard, can shield differences of underlying operating systems and provide stable and usable peripheral service devices for upper-layer applications.

This invention discloses a big data platform for realizing the value of agricultural tourism ecological products at the district / county level. It adopts an MVVM architecture, with the backend developed based on .NET and the frontend using Vue, HTML5, CSS3, and integrated Echarts. The database uses PostgreSQL with PostGIS, relying on ArcGIS Server for GIS services and implementing map integration through the ArcGIS API for JavaScript. The platform incorporates core accounting models for GEP (Gross Ecological Product) total value, water conservation, and ecological vouchers, including agricultural tourism ecological product surveys, ecological product value calculation, automatic value calculation, ecological voucher agricultural tourism value conversion, database updates, and user management. The platform enables visualization of various agricultural tourism ecological data charts, display of resource survey map data, and GIS spatial statistics of value and functional quantities. It supports multi-scope calculations for administrative regions, scenic areas, and custom areas, and can perform comparisons of two phases of land use data and visualized calculations of ecological vouchers. It also features ecological data year management, editing and updating, and user hierarchical permission control functions. This platform improves the standardization and intelligence of agricultural tourism ecological value management at the district / county level.

Embodiments of the present application disclose a video stream split-screen display method, device, system, streaming device and storage medium. The streaming device obtains a video stream pushed by a push streaming client on a streaming media server through a WebRTC protocol in a local browser, converts the video stream into a WebRTC video stream, and then plays the WebRTC video stream in real time by using multiple VIDEO tags in HTML5. The technical solution of the present application combines the WebRTC protocol with a traditional push-pull streaming media system based on the ultra-low delay characteristic of the WebRTC protocol, and achieves the technical purpose of playing a video stream on multiple screens within a delay of 35-70 ms in a scene where the streaming media server relays the push streaming video stream. Thus, the delay is reduced, and the user experience during real-time multi-screen video playing is improved.

The invention relates to the technical field of networks, in particular to an internal and external network security collaborative design system and method for high-end equipment manufacturing. The system comprises an access layer configured to support isolated access of an intranet user terminal and an extranet user terminal through a gateway and a firewall; the display layer is connected with the access layer, is developed based on HTML5, CSS3 and JavaScript, and is used for providing a responsive user interface; the business layer is connected with the display layer, adopts a micro-service architecture and comprises a user authentication module, a task management module, a process management module and a change management module; and a data layer. Through an internal and external network separated architecture and multi-system deep integration, the design period is greatly shortened, and the design response speed is greatly improved. And through a unified PDM data source, a standardized task template and a numbering rule, the error rate of drawing production is reduced. And the cost is saved and the safety is improved due to the automation of the process.

The application discloses a kind of application development method and system facing TVOS system and supporting the development of multiple service interfaces, by obtaining application demand and carrying out demand analysis, according to reference GB / T 9385-2008 "computer software requirement specification description specification" and GB / T32279-2019 "intelligent mobile terminal application software (APP) technical requirements" to application demand classification obtains service interaction demand and user interaction demand;The service interaction demand and user interaction demand obtained in step S1 are decoupled to obtain functional component module and general function module;General function module obtained in step S2 is implemented using application front-end application source code and application interaction interface file with application back-end, functional component module obtained in step S2 is implemented using application front-end HTML5 page, application library file, and the functional component module and general function module realize data interaction through HTML5 page calling interface, the advantages of native application and H5 application are considered, and a variety of applications can be provided on the TVOS terminal with limited memory performance.

The application provides an arc-shaped text 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 calculations in a virtual canvas created according to a preset magnification and independent of the size of a real canvas, accurately calculating the total arc length required for text to develop 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 generate an initial arc-shaped text image with high precision. A close virtual bounding box is dynamically calculated for the initial image. By comparing the size of the bounding box with the size of a virtual target display range, a global adaptive scaling ratio is obtained, the ratio is applied to the initial arc-shaped text, a final adjustment is performed in combination with the preset magnification, the arc-shaped text is accurately rendered onto the real canvas, and a final image is output. The complete and distortion-free rendering effect of text along an arc-shaped path is realized in a non-preset and diversified canvas scene.