421 results about "JavaScript" patented technology

The invention relates to the technical field of operation and maintenance management and control, and discloses an intelligent building remote operation and maintenance management and control system based on a large model and a cloud edge collaborative architecture, and the system comprises a configuration subsystem which is used for carrying out the reverse proxy and persistent connection configuration of edge gateway equipment in an intelligent building, and obtaining a TLS encryption bidirectional communication channel; the construction subsystem is used for constructing a cloud-edge-end three-layer cooperative computing architecture; the conversion subsystem is used for performing unified semantic abstraction and conversion on the heterogeneous protocol data to obtain semantic data in a standard JSON (JavaScript Object Notation) format; the rule processing subsystem is used for performing rule processing through a near-end decision engine of the edge gateway to obtain a local intelligent response result; the multi-dimensional analysis subsystem is used for carrying out multi-dimensional analysis through a cloud large model engine to obtain an equipment health score, a fault prediction result and an energy optimization strategy, seamless fusion and interoperation of heterogeneous system data are achieved through the system, and then global optimization and linkage control of the intelligent building are achieved.

The invention provides an enterprise process intelligent analysis system based on a large language model. The enterprise process intelligent analysis system comprises a master control scheduling module, a data preprocessing module, a hierarchical analysis module, an insight extraction module, a report generation module and a knowledge retrieval module. The master control scheduling module generates a scheduling plan based on chain thinking reasoning, and dynamically calls each module; the data preprocessing module carries out cleaning and structured conversion on the enterprise event logs and outputs standardized JSON (JavaScript Object Notation) data; the knowledge retrieval module is combined with an RAG technology and a vector database to provide context support for a large language model; the hierarchical analysis module drives a model to execute process discovery and bottleneck identification through a structured cue word template; the insight extraction module converts an analysis result into a commercial insight text containing reasons, influences and suggestions, and has a self-repairing mechanism to guarantee consistency; and the report generation module automatically generates an image-text report. The system can improve the efficiency and accuracy of process analysis.

The invention provides a business process construction method combining a workflow engine and a dynamic form, which relates to the technical field of low-code platforms, and comprises the following steps of: establishing a data table according to a business, selecting and importing the data table in a code generation module, generating a basic code package, re-operating a main program compiling code package and loading the code package to a JVM (Java Virtual Machine) operating environment; creating a dynamic form on the basis of the entity class information of the code package through a visual form designer of the dynamic form module, and outputting dynamic form configuration in a JSON (JavaScript Object Notation) format; according to the method, the dynamic form and the process engine are combined, highly flexible business process design can be realized, a user can dynamically design the form and the process model as required to meet different business requirements, and the user-defined component can be designed according to a business data structure and common functions, so that the form can better adapt to a specific business scene, and the user experience is improved. And the user experience and the working efficiency are improved.

The invention belongs to the technical field of information extraction, and discloses a text structuring method and system based on a large language model. The method comprises the following steps: performing training data processing by analyzing a JSON format of a large language model; performing training and fine tuning on the large language model, performing training by using vLLM, and deploying the fine-tuned large language model; and performing text structuring on the deployed large language model by adopting a CoT prompt mode, and further improving the structured output capability of the large language model by adopting a reflection strategy of a JSON analysis result for wrong JSON format data. According to the method, the problem that JSON character strings generated by a large model in a knowledge extraction task do not meet requirements is solved through combination of fine adjustment and instructions; and the large model generates a JSON (JavaScript Object Notation) of a knowledge graph specification according to a schema. Org requirement, so that end-to-end text structuring is realized, further knowledge processing is not needed, and the workload of subsequent knowledge processing is saved.

The invention discloses a low-code development platform event arrangement method and device based on native JS, and relates to the technical field of visual programming, and the method comprises the steps: responding to an event arrangement request sent by a user through a visual development interface, calling a visual framework, and presenting an event arrangement canvas in the visual development interface; configuring event nodes and event process connections in the event arrangement canvas; generating event flow configuration data based on the event node and the event flow connection; converting the event flow configuration data into a native JavaScript code, calling a rendering engine, and rendering a page style and page data of the visual development interface according to the native JavaScript code; and in response to an interactive operation of a user on the visual development interface, triggering the corresponding native JavaScript code to execute a corresponding event process. The development efficiency can be effectively improved, and the development period is shortened.

The invention belongs to the technical field of artificial intelligence, is applied to the field of financial science and technology and the field of medical health, and discloses a rule engine configuration method, device and equipment based on machine learning and a storage medium. The method comprises the steps that historical calculation data and performance indexes in historical calculation tasks are collected, and a training data set is constructed; a machine learning model is trained, and algorithm parameters of the rule engine are dynamically optimized through the training data set; configuring an expression and a user-defined function of a rule engine, and realizing analysis and execution of scripts through JEXL (JavaScript Exchange Library); establishing a dynamic mapping relationship between the algorithm configuration library and the business variables, mapping algorithm variable names and business variable names, and generating configurable algorithm rules; and analyzing task load and resource requirements based on a pre-trained machine learning model, distributing system resources, and repairing abnormal behaviors in a calculation process. According to the invention, the problems of low processing efficiency, high maintenance cost, unreasonable resource allocation and poor expandability in the prior art are solved.

The present technology relates to a computer-implemented method for enhancing enterprise-wide security when using Artificial intelligence (AI) models. Embodiments involve a JavaScript injection process facilitated by a proxy server. This process does not require manual installation as it is automatically injected during operation. The JavaScript injection process operates by intercepting unsecured AI input and output data provided by users interacting with AI websites. The input and output data are sent to a security Application Programming Interface (API) which applies an enterprise security policy to the data in real-time, thereby transforming unsecured input and output into secure data. Embodiments provide a robust framework for safe interaction with Artificial intelligence models while mitigating the risks associated with the transmission of sensitive information over the internet.

The invention discloses a Web end-based primitive real-time data binding and dynamic rendering method, which comprises the following steps of: providing a basic primitive through a set editor, expanding by a user by inheriting a basic graph, generating a primitive by providing a converter aiming at a complex primitive, instantiating the primitive to an editing area through dragging to form a node, and connecting, the method comprises the following steps of: storing data of a driving editor in a JSON (JavaScript Object Notation) form, initializing the data, adapting a rendered graph to the size of a container by calculating position information, analyzing the JSON by a runner, extracting an attribute mapping rule of node configuration, and establishing mapping from a data source to node rule information; after the data source is updated, the nodes are found through rule matching, and the node variables bound in the rules are updated, so that the graph becomes dynamic. According to the invention, the configuration and monitoring process of the system is simplified through the graphical interface, so that non-professional programmers can also participate in the design and maintenance of the automatic system. The development cycle of product customization is shortened, and the expansibility of products is improved.

The invention relates to the technical field of OA examination and approval, in particular to a multi-modal file intelligent examination and approval method and system based on a large language model, and the method comprises the steps: configuring exclusive examination and approval templates for different examination and approval roles, and generating a role exclusive intelligent examination model; the method comprises the following steps: receiving a to-be-approved multi-modal file, analyzing file content, and outputting structured JSON (JavaScript Object Notation) data; inputting the structured JSON data and a configured approval template into a corresponding intelligent review model, performing step-by-step reasoning through a thinking chain prompt strategy, and outputting a structured review intermediate result; encoding the review intermediate result into a semantic vector, and retrieving Top-K similar historical approval cases from a knowledge base module based on a vector database to generate a reference suggestion set; fusing the review intermediate result with the reference suggestion set to generate a review result; based on the review result and the feedback of the approver, the standardized approval opinions are generated, and the accuracy and consistency of review are improved.

The invention provides a JSON (JavaScript Object Notation) data dynamic addition and management method based on a target keyword, which relates to the technical field of data processing, and comprises the following steps of: generating a keyword affinity matrix through grammar dependency analysis for clustering, establishing a mapping relationship between semantic identifiers and JSON nodes to form a semantic addressing table, constructing a dependency topological graph to determine a data block, and establishing a database; and accurate data addition and management based on keywords are realized. According to the method, the retrieval efficiency of the JSON data is improved, the data relevance is enhanced, the storage structure is optimized, and intelligent organization and maintenance of the data are realized.

The invention provides a front-end logic execution system based on a canvas flow, and the system comprises an editor end which comprises an item switching module which is used for providing an item menu tree and a visual page; the page building module is used for storing a menu component; the action flow arrangement module is used for connecting the menu components according to the running sequence and configuring execution conditions, preposed actions, delay events and loop events to form a low-code data packet; the running device end comprises a data packet analysis module which is used for loading a low-code data packet and restoring the low-code data packet into JSON (JavaScript Object Notation) configuration; the rendering module is used for converting the JSON configuration into HTML (Hypertext Markup Language) elements and JS (JavaScript) codes and rendering the HTML elements and the JS codes to a browser And the event execution module is used for executing each action after the browser component is triggered. The method has the beneficial effects that the generation convenience of the business logic execution link can be improved, the technical threshold of front-end business logic development is reduced, and the flow visualization of the whole link generation and execution links is realized.

Data structures and applications are defined with an application development environment which employs the use of a natural language artificial intelligence interface and recorded metadata descriptions, which are converted at runtime to generate underlying software code (e.g., C#, SQL, JavaScript, etc.) to implement the application. The data structures include application data elements described in a data serialization format. Each application data element includes fields that each represent an individual value. Each field is defined with a label, a data type, and attributes. The data structures also describe relationships or links between application data elements, as well as data-driven or time-based rules that drive further data manipulation and interactions within and external to the programming development environment through a variety of interfaces (e.g., HTTP, SMTP, SMS).

The invention discloses a multi-level front-end page layout and state linkage management method and a multi-level front-end page layout and state linkage management system, which belong to the technical field of front-end development, and are characterized in that page layout is configured in a declarative manner through a JSON (JavaScript Object Notation) format, and component states are automatically managed by adopting a multi-level linkage mechanism to realize front-end The JSON configuration comprises an id field definition business logic module identifier and a struct field definition layout rule; dynamic rendering and state linkage are realized by separating the business logic and the layout structure of the component and combining a hierarchical data binding mechanism; and the child hierarchy automatically triggers state emptying or data loading operation by monitoring data change of the parent hierarchy. According to the method, the problems of high page and logic coupling degree, complex state management and poor expansibility in the prior art can be solved, clear decoupling and automatic linkage are realized, and the method is easy to expand.

The invention relates to a point-to-point access verification method and device, electronic equipment and a medium. The method comprises the steps of obtaining configuration information of a to-be-verified module; writing the configuration information of the to-be-verified module into a verification document, and storing the verification document as a JSON (JavaScript Object Notation) file; the verification document comprises at least one verification test item; each verification test item comprises a plurality of verification test paths; the JSON file is analyzed, and configuration information of the module to be verified is extracted; generating a plurality of universal verification methodology UVM components and UVM excitation files according to the configuration information based on a preset configuration script; establishing a script based on a UVM environment, and integrating the UVM component and the UVM excitation file to a UVM verification platform; in response to a target verification test command, performing test verification on a plurality of to-be-tested paths of a target verification test item on the UVM verification platform; the number of the target verification test items is greater than or equal to 1.

The invention provides a webpage skeleton screen generation method and device and electronic equipment. The method comprises the steps of obtaining a hypertext markup language (HTML) source code, a cascading style sheet and a JavaScript code of a target webpage; analyzing the HTML source code to obtain main structural elements of the target webpage, analyzing the cascading style sheet to obtain visual style information of the target webpage, analyzing the JavaScript code to determine a dynamic content area of the target webpage; generating a skeleton screen of the target webpage based on the main structural elements, the visual style information and the dynamic content area; and injecting the skeleton screen of the target webpage into the code of each business item, calling a skeleton screen generation service in each business item, and generating the skeleton screen of each business item. According to the method, the skeleton screen can be automatically generated and injected, the efficiency is high, the dynamic content of the webpage can be adapted, and the user experience is improved.

Automated test case validation execution is presented herein. A system obtains image data representing a test result of a test step of a validation process; extracts the test result from the image data; derives an expected result from an expected result sentence that has been obtained from a first cell of a row of a table of a document, in which the row corresponds to the test step; based on the test result and the expected result, determines a test status of the test step; generates a result sentence comprising the test result and a portion of the expected result sentence; generates a javascript object notation (JSON) data structure comprising the result sentence and the test status; and populates, using the JSON data structure, a second cell of the row with the result sentence and a third cell of the row with the test status.

The invention discloses a JavaScript language security reinforcement method based on a virtual machine technology, and belongs to the field of JavaScript languages. The method comprises the following steps: firstly, building a test system comprising a compiler, an assembler, a virtual machine and a packer; then, a developer submits the JavaScript program or the function requirement to be tested to the test system; a test system constructs a to-be-tested program by using a Yarn environment, and a compiler compiles a JavaScript source code and analyzes and converts the JavaScript source code into an intermediate representation IR; the assembler converts the IR into byte codes, and converts the relative reference address into an absolute address by generating a character string table and a lookup table; and the generated byte code is optimized. The test system submits the optimized byte code to the virtual machine, the virtual machine runs a byte code program, and after execution is completed, the test system collects an execution result of the virtual machine and compares the execution result with an expected result; and finally generating a test report and delivering the test report to developers for confirmation. According to the method, the security of the JavaScript code is enhanced through a virtualization technology, and malicious access and analysis are prevented.

The invention belongs to the technical field of code-free development, and particularly relates to a Web3D zero-code interactive design platform and method based on a unified model, and the platform comprises a unified business logic model UBLM and a platform-independent, self-described and structured data container which is used for completely defining all behavior logics in 3D interactive application, including events, conditions, actions, parameters, variables and flow relations; the dual-mode editor comprises a form-type editor and a blueprint-type editor, and the form-type editor and the blueprint-type editor can be used for completely creating, editing and visualizing the same UBLM and realizing real-time state synchronization; and the interpreted rule execution engine IREE is a lightweight engine running in a JavaScript environment of a browser and is responsible for analyzing the UBLM during running and converting the declarative logic into an executable instruction in a 3D scene through a rule matching and function registration mechanism. According to the invention, the development and cooperation efficiency can be improved, and the iterative maintenance process is simplified.

Systems and methods for Generic Data Parsing (GDP) applications may automatically parse unstructured and / or semi-structured data sources (e.g., extensible Markup Language (XML), JavaScript Object Notation (JSON), and / or Common Business-Oriented Language (COBOL)) and generate a normalized and / or structured (e.g., relational) data schema, and load the parsed data into the structured data schema, which may then be readily queried utilizing known end-user tools.

The invention discloses a method and a system for asynchronous execution of JavaScript at a server side, and relates to the technical field of computer software, the method comprises the following steps: constructing a multi-language runtime context pool on the server side based on GraalVM, and pre-compiling a script and a core class; when the script is loaded, asynchronous execution strategy parameters are injected into the corresponding isolation context; calculating the fragmentation number of the overall task submitted by the script, and carrying out overall task fragmentation; mapping the fragments to the corresponding isolation assembly lines according to the fragment execution categories, constructing feature vectors according to the fragments in the isolation assembly lines, calculating fragment priorities, and executing in sequence; after fragment execution is completed, execution time delay is collected, historical time delay prediction is updated, and when conditions are met, isolation retry is carried out, and compensation fragments are generated. Through pre-compilation, asynchronous execution strategy, adaptive fragmentation and priority scheduling, and compensation fragmentation generation, fault self-recovery and service continuity guarantee with low time delay response, high scheduling flexibility and controllability and automation are realized.

A method for managing data includes: receiving a file analysis request from a user, in which the request includes merging criteria, a first data path to access a first file, a second data path to access a second file, and a third data path to access a third file; obtaining the first file using the first data path, the second file using the second data path, and the third file using the third data path; analyzing the merging criteria; inferring, based on a determination, that the second file is suitable to be merged with the first file and the third file is not suitable to be merged with the first file; merging, based on the merging criteria, the first file and the second file to generate an output file; and initiating, via a graphical user interface (GUI), displaying of the output file to the user.

The invention provides a front-end general multi-language switching method, device and equipment and a medium, and the method is based on a frame-independent post-processing principle, translating logic is executed in the last stage of a construction process, and JavaScript codes compiled by various front-end frames are directly processed. The method comprises the following steps: identifying a to-be-translated text based on AST analysis in a compiling stage by constructing a tool plug-in; generating a unique hash identifier for the text and replacing the unique hash identifier with a translation function call; integrating a plurality of third-party translation services to realize batch automatic translation; and generating a language package mapping table, and providing a global t translation function to realize language switching during operation. The method acts on an ending link of a construction process through configuration, and realizes non-inductive support for any front-end technology stacks such as Vue, React, pure JS and the like. The method is suitable for front-end project multi-language reconstruction of medium and large projects, and the development and maintenance efficiency of multi-language projects is greatly improved.

The invention discloses a distributed computing power scheduling method and system based on AIGC, and relates to the field of computing power scheduling, first, GPU index flow and request index flow are obtained in real time, time sequence alignment and feature engineering are carried out on the GPU index flow and the request index flow, and meanwhile semantic feature extraction is carried out on a business intention text; and fusing the processed features into a vectorization system state, inputting the vectorization system state into a generative AI scheduling agent to predict a future model demand, and outputting a model demand prediction JSON (JavaScript Object Notation). Then, the planner module generates an optimized cache action plan according to the prediction and the current cache state, and instructs a scheduling executor to pre-load or intelligently replace the model. And finally, when the request router receives a new request, the updated cache state can be queried, and the request is directly distributed to the GPU node loaded with the target model, so that the cold start delay is remarkably reduced, and the computing power resource utilization efficiency and the user experience are improved.

The invention discloses a Flash animation media playing system and method based on WASM, belongs to the technical field of webpage playing, and aims to solve the technical problem of how to realize compatible playing of an original Flash file on the premise of not modifying the original Flash file so as to guarantee sustainable use of original educational resources. The analyzer module is used for analyzing the format content of the Flash file and sending the analyzed data to the ActionScript virtual machine and the rendering engine module; the ActionScript virtual machine is used for explaining and executing the ActionScript byte codes, interacting with the JavaScript environment of the browser through the API bridging module, and sending a rendering command to the rendering engine module; and the rendering engine module is used for interacting with a Javascript execution environment to complete display of a rendering result.

The invention discloses a system and method for developing and debugging Javascript at a server side, and relates to the technical field of computer software, and the method comprises the following steps: deploying a GraalVM operating environment, configuring an isolation sandbox, and establishing a two-way communication channel; calculating a difference coverage rate, and performing thermal difference injection or reloading of the script file; constructing a high-order tensor model based on the multi-dimensional data, extracting breakpoint candidate positions, and mapping and registering the breakpoint candidate positions to a debugging engine; monitoring an execution conflict in real time and rolling back to a stable snapshot based on entropy increase; verifying the repair patch candidates, implanting a probe to dynamically adjust the breakpoint weight, calculating a debugging comprehensive score, quantifying the debugging quality, and when the debugging comprehensive score is greater than a preset threshold value, ending debugging, disconnecting a debugging session and releasing resources. Safe and efficient updating is achieved through a GraalVM sandbox and a difference drive hot patch, reliable debugging is guaranteed through tensor breakpoints and entropy increase rollback, and automatic and efficient server side JavaScript debugging is achieved through quality quantification of a dynamic probe.

A method may include receiving, using a first application programming interface (API) endpoint of an API system, an API request from a computing device. The API request may represent a request for a video that is associated with a digital rights management technology and that includes an image frame representing a content element. The method may include fetching, using the first API endpoint, the content element. The method may include forming, using the API system, a JavaScript Object Notation (JSON) object including the content element and formatting information associated with the content element. The method may further include transmitting, using a second API endpoint of the API system, the JSON object to an application server configured to generate the video based on the JSON object.

The invention discloses a Web-based visual editing method, belongs to the technical field of industrial configuration, and aims to solve the problems of complex deployment of traditional configuration software and insufficient Web scheme performance. The method comprises the following steps: constructing a front-end architecture (Vue. Js + Konva.js) containing a graphic element module, a canvas management module and the like; the primitive adopts JavaScript prototype chain inheritance + SVG / Canvas double-layer rendering, and a canvas is divided into four layers and is provided with a quadtree index; an editor and an expression engine are generated by using a factory pattern for attribute configuration; page management supports state capture recovery; real-time communication is based on WebSocket + PubSub, and data aggregation and incremental updating optimization are combined. Cross-platform zero deployment and Web environment near-desktop performance are achieved, editing efficiency is improved, industrial protocols such as OPC UA are compatible, and the method is suitable for the field of energy and intelligent manufacturing.

The present invention provides a method and system for automatically and seamlessly processing clinical trial source data into electronic data capture (EDC) systems. In one embodiment, a file structure is defined for an electronic binder system (eBinder); source data is uploaded to the eBinder; the source data is encrypted, Patient Identifiable Information in the source data is masked; the source data is converted into machine readable plain text in the JavaScript Object Notation (JSON) format using Natural Language Processing (NPL) technologies; the JSON data is converted into tabulated machine readable data in the HyperText Markup Language (HTML) format using NPL technologies; the HTML data is converted into machine understandable data using NPL technologies; the machine understandable data is populated into EDC datasets using NPL technologies; the source data and converted data are displayed side-by-side for source data verification; and a platform is provided for regulatory data verification or auditing.

The invention belongs to the technical field of path planning, and particularly relates to an intelligent path planning method for a four-way shuttling robot, which comprises the following steps of: generating an initial path by adopting a JPS (JavaScript Pattern Scheduling) algorithm and extracting key anchor points; the system responds through an innovative hierarchical decision-making mechanism: firstly, the stability of anchor points behind conflict points is evaluated, and if the stability is high, a minimum repair window is adopted; and if the stability is uncertain or low, topological influence depth verification is started to dynamically define an optimal local repair window, finally, local path replanning is performed in the window, and a generated new path section is seamlessly spliced with an original path. According to the method, efficient and low-overhead path updating in a dynamic environment is realized through a self-adaptive local repair strategy, and the stability and efficiency of robot operation are ensured.

The invention relates to the technical field of computer software, in particular to a communication method and system based on a JavaScript environment and an unreal engine 5, and the method comprises the following steps: using Vue3 as a front-end interface core, capturing user interaction behaviors by monitoring user input events, and managing states by using a combined API (Application Program Interface) to ensure the consistency and predictability of the states; state management is carried out in the Vue3 by using an API provided by Pinia, and the view state is ensured to be updated in time through a response type system; the communication method and system based on the JavaScript environment and the unreal engine 5 have the beneficial effects that the front-end Vue3 application can process user interaction logic and communicate with the unreal engine 5 through an asynchronous event broadcasting and monitoring mechanism. And the unreal engine 5 is responsible for rendering the three-dimensional model, receiving a front-end message through the mechanism and making a response, so that the consistency of a front-end interface and a three-dimensional model scene state is ensured, and smooth user experience is provided.