208 results about "JavaScript" patented technology

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 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 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 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 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.

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 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 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 relates to the technical field of information security, and particularly provides a JavaScript component vulnerability reachability analysis and detection system based on call link analysis, which comprises an acquisition unit, a risk assessment unit, a feature analysis unit, an analysis unit, a control unit and a self-adaptive detection unit, the system can accurately describe the operation base line of the platform in a normal state by acquiring key characteristic parameters such as the length of a historical calling link of the target platform, the execution frequency and the proportion of branch nodes, and the analyzed key characteristic characterization factors can judge the security risk tendency of the platform. And comparing the risk characteristic parameters extracted by the test platform in real time, wherein the risk characteristic parameters comprise an unverified input node proportion, an error triggering rate and a calculated risk characteristic characterization value with a preset threshold value. Through'historical data-risk quantitative analysis-standard judgment-problem tracing ', the efficiency and precision of JavaScript component vulnerability accessibility detection are improved.

The invention provides a front-end high-frequency data security interaction method and system based on a Wasm, and relates to the technical field of network programming, network front ends and brain-computer interfaces, and the method comprises the following steps: securely storing protocol decoding parameters of Internet of Things equipment in a Wasm isolation environment; a composite authentication mechanism of JWT verification logic, domain name IP check and API authentication is provided in the Wasm through the closed characteristic of network assembly; parallel iterative processing is carried out on the multi-channel biological data in the wasm virtual environment, and analysis operation is executed; dynamically calculating a data time scale through a timestamp generation function, wherein the function comprises an index rewinding compensation mechanism; and each piece of parsed plaintext data is returned to the JavaScript calling end through an asynchronous data stream. According to the method, an authentication and authorization mechanism of the Wasm and the rear end, authentication and authentication in a Wasm isolation environment, analysis and a bridging architecture of the Wasm and the JavaScript are provided, so that the Wasm module is not called by the unauthorized Javascript.

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 invention relates to the technical field of front-end application error repair, and provides an intelligent front-end error repair method based on a large model, which comprises the following steps of: calling a JavaScript global error monitor to capture context information during abnormal operation and performing structured packaging; converting a structure field in the context data packet into a corresponding error description text, inputting the corresponding error description text and an error pattern label generated based on historical error case clustering into a large language model for fine tuning of a front-end error repair task, and generating a JavaScript repair patch matched with the running exception; and verifying the repair patch in the sandbox environment, and deploying the repair patch in a hot update mode after the repair patch passes the verification. According to the invention, the integrity of key data required by fault positioning is ensured, and the security of user data is also ensured; in the patch generation stage, clustering analysis is conducted on historical error cases, error pattern labels are generated, the labels serve as prompt prefixes to be injected in the large language model fine adjustment process, and the repair accuracy under a specific error scene is effectively improved.

The invention relates to the technical field of electronic design automation and artificial intelligence, in particular to an AI-assisted multi-target PCB automatic design system and method, and the system comprises a user interface layer which is used for a user to input a request through a Web-based interface; the natural language analysis module is used for processing the request and generating a JSON (JavaScript Object Notation) containing function requirements; the device selection module queries an internal device database and suggests an ESP32-C3 MCU (Microprogrammed Control Unit), a compatible relay and a support circuit; the circuit generation module is used for creating a netlist and a schematic diagram file and comprises an MCU (Microprogrammed Control Unit), a relay driver and related passive elements; the layout optimization module runs a multi-target algorithm and is integrated with PCB design software; experimental verification shows that compared with a traditional one-way process, by means of the method, the requirement interpretation accuracy can be improved to 94.2% from 76.3%, the design intention preservation rate is improved to 89.5% from 42.7%, the requirement change adaptation time is shortened to 2.1 h from 8.4 h on average, and the requirement interpretation efficiency and accuracy are improved.

Methods, systems, and computer-readable storage media for receiving an input, generating a bias-detection prompt based on the input, the bias-detection prompt including context representative of bias relevant to the input and to be applied in processing of the bias-detection prompt, prompting a LLM using the bias-detection prompt to receive a first response, the first response representative of bias responsive to the input and being in a Javascript object notation (JSON) format defined in a JSON schema of the bias-detection prompt, modifying the input based on the first response to provide modified input, generating a prompt at least partially based on the modified input, prompting the LLM using the bias-detection prompt to receive a second response, the second response representative of at least a portion of a task related to an operation of an enterprise, and executing the task using the second response.

The invention is suitable for the technical field of anti-obfuscation processing, and provides an anti-obfuscation processing method, device and equipment, a medium and a computer program product, the method comprises the following steps: obtaining a target obfuscation code, the target obfuscation code being a code obtained after obfuscation processing of a source code; calling a reasoning component to generate a reasoning prompt corresponding to the target obfuscated code, wherein the reasoning prompt is used for indicating a reasoning process for performing anti-obfuscation on the target obfuscated code; calling a sample component to inject at least one sample pair into the target large language model, wherein the sample pair comprises a sample code and a sample obfuscation code corresponding to the sample code; and based on the reasoning prompt and the sample pair, calling a target large language model for performing anti-obfuscation processing operation on the target obfuscated code to obtain a target restored code corresponding to the target obfuscated code. The anti-obfuscation success rate and the anti-obfuscation accuracy of JavaScript codes of different obfuscation types can be improved.

The invention discloses an RPA automatic live broadcast system based on a WebView module embedded in a mobile device, the RPA automatic live broadcast system comprises the mobile device and a Web end, the mobile device comprises a pushing end and a watching end, and the WebView module is embedded in the pushing end; the WebView module is used for loading a customized JS script and calling a required JS method, can receive various data and instructions transmitted by the pushing end, and feeds back an execution result of the Web end to the pushing end; the Web end is provided with an RPA function module and has a live broadcast platform function; and the RPA function module can realize automatic simulation operation of account authorization, commodity popup and bullet screen sending. The invention also discloses a method of the live broadcast system. The method comprises the following steps: S1, initializing; s2, authorizing login; s3, live broadcast operation (including commodity pushing and bullet screen replying) is carried out; and S4, ending live broadcast. The method improves the live broadcast efficiency, reduces manual errors, improves the live broadcast quality, enhances the live broadcast flexibility, can be customized and developed according to different platforms, and is wide in application range.

The invention relates to the technical field of real-time cooperation of agricultural and pastoral products-food supply chains, in particular to an agricultural and pastoral supply chain voice interaction system and model driving method based on enterprise WeChat, and the system comprises an enterprise WeChat interaction module which is used for obtaining voice, pictures, position information, WeChat numbers and mobile phone numbers inputted by a user; the large model (LLM) service module is used for analyzing the input information according to a preset scenarized cue word template and outputting structured JSON (JavaScript Object Notation) data; the scene event agent is used for storing a service event configuration library in a JSON format, outputting a matching event definition according to LLM, and triggering a background service system to operate through an RPA engine; the data agent is used for dynamically generating SQL statements on the basis of an AtributeSet configuration table and realizing addition, deletion, modification, query and associated query of business objects; the method has the beneficial effects that compared with a traditional mode that an operator enters a software system manually after going to an office, the timeliness of each business operation is improved by at least half an hour, and the time is often prolonged by one day or even several days by adopting the scheme.

The present application relates to the technical field of digital copyright protection, and particularly relates to a cloud textbook reader code protection method and system; the method comprises the following steps: obtaining an encrypted textbook content file package and a decryption key of the encrypted textbook content file package through a cloud textbook reader of a client; the decryption key is encrypted by using a user public key; the decryption key is decrypted by using a user private key stored in the cloud textbook reader to obtain the decryption key; a compiled Node.js decryption module is called through JavaScript; the encrypted textbook content file package is decrypted by using the decryption key to obtain a textbook content file; and the decryption logic of the Node.js decryption module is developed by using a Rust language; and the problem that the decryption code is cracked or obtained on the user side can be effectively avoided.

The invention discloses a Web security auditing method and device based on browser operation, and relates to the technical field of network security. Comprising the following steps: forcibly activating a credible type mechanism in a browser environment of a to-be-audited page, and constructing a hybrid monitoring environment with the assistance of API instrumentation; javaScript code data of a page are obtained, and a path control function is injected into a control flow branch of the JavaScript code data through abstract syntax tree analysis; executing the converted code in a monitoring environment, guiding to traverse different logic branches by utilizing a path control function, and capturing a call stack containing a vulnerability trigger point and a code snippet when triggering monitoring is executed; and based on call stack information, extracting precise code slices, combining with cue words, inputting the cue words into a large language model to perform safety semantic reasoning, and generating an audit report according to a structured result output by the model. High-coverage and low-false-alarm automatic detection of deep DOM XSS vulnerabilities is realized, and the problems that a path is difficult to reach and intelligent analysis is insufficient in a traditional security audit technology are solved.

The invention provides a visual logic execution system and method based on logic block nesting and JSON (JavaScript Object Notation) dynamic configuration, and the system comprises a front-end visual editing module which is used for providing a logic block library and a nested canvas editor, receiving the dragging and nesting operation of a user based on a logic block, and storing the dragging and nesting operation in the front-end visual editing module; serializing the finally edited nested logic tree structure into JSON (JavaScript Object Notation) configuration data; the back-end dynamic analysis execution module is used for receiving and persisting the JSON configuration data, constructing an executable object tree isomorphic to the nested logic tree structure by dynamically analyzing the JSON configuration data, and executing the executable object tree to run logic edited by a user; and the front-end visual editing module communicates with the rear-end dynamic analysis execution module through a data transmission interface. The front end and the rear end are coupled through the JSON interface, and the front end and the rear end can be independently upgraded and expanded.

This invention discloses a method for implementing a JS timer, comprising the following steps: Step S1: In a lightweight open-source HarmonyOS system, a JavaScript application creates a JS timer, which specifies a timing period and a callback function. Step S2: The JS timer is added as a task timer in the lightweight open-source HarmonyOS system, and executed by the task management module. Step S3: When the timing period of the task timer expires, an asynchronous message is sent to the JS APP thread, which then executes the asynchronous callback upon receiving the message. This invention automatically stops the JS timer when the device enters a low-power screen-off state, reducing unnecessary system wake-ups and saving device power. If the JS APP thread is busy, the JS timer cannot be scheduled and will not send unprocessable asynchronous messages, avoiding the problem of system crashes due to a full message queue and improving system robustness.

The application belongs to the technical field of website development, and provides a method and device for realizing resource sharing by encapsulating iframe into a pop-up window and a medium. The application utilizes the content independence and cross-site content embedding capability of iframe to realize the independent operation of public functions; avoids the restriction of the same source policy of the browser through window.postMessage to realize free communication between pages; encapsulates a universal iframe container pop-up window plug-in realized by a native JavaScript to simulate the pop-up function interaction in the project to maintain consistency; and modularly encapsulates the communication logic, interaction effect, event monitoring and custom configuration, realizes the unified calling of public functions through the communication between the plug-in and the iframe source project; for the project using the plug-in (hereinafter referred to as the calling project), the plug-in is transmitted with a configuration object, and the plug-in can complete the plug-and-play of the public functions.

Techniques and architecture are described for converting tree structured data such as, for example, JavaScript Object Notation (JSON) data, into multiple feature vectors to train multiple instance learning (MIL) models for providing cybersecurity in networks. In particular, a data set is provided, wherein the data set comprises a sample configured as a hierarchal tree. The sample is converted into a set of path and value pairs, e.g., flattened into a set of path and value pairs, where the path is a sequence of field names and array indices encoding a position of a value. Each path and value pair of the set of path and value pairs is converted into a respective feature vector to form a set of feature vectors. The set of feature vectors is used to train a multiple instance learning (MIL) model, wherein each feature vector has a same, fixed length.

The application discloses a front-end theme color dynamic switching method and system, belongs to the technical field of front-end development, and aims to solve the technical problem of how to combine CSS and JavaScript, dynamically change the background color, button, table, link font color and the like in a main page, and control a third-party page embedded by using iframe. The method comprises the following steps: creating a theme color file through a LESS preprocessor, and defining a light theme color and a dark theme color; configuring the theme color file in a Vue project through Vite, and referencing a theme color variable CSS; dynamically loading the theme color file through a route guard or an event listener, listening to theme color changes through a chart library, dynamically updating icon styles, and switching between the light theme and the dark theme, so as to realize user individual customization of platform background color changes.

A method includes converting a plurality of files stored in a database that stores transactional data for a software application into a plurality of JavaScript object notation files, wherein the converting is performed as the plurality of files is loaded into the database, storing the plurality of JavaScript object notation files in a plurality of buckets, invoking a plurality of batch operations, wherein each batch operation of the plurality of batch operations reads a subset of the plurality of JavaScript object notation files from one bucket of the plurality of buckets with a defined frequency, reading the subset of the plurality of JavaScript object notation files into a tabular data structure, writing the tabular data structure into the one bucket in an open source, column-oriented data storage format, and reading the column-oriented data storage format into a query service that supports structured query language.

The embodiment of the present application relates to the technical field of computers, and discloses a React component attribute prompting method and device based on vscode and a computing device, the method comprises the following steps: obtaining attribute content of a React component attribute input by a user, and identifying an attribute type corresponding to the attribute content; generating an annotation file according to the attribute content, the corresponding attribute type and a preset object literal by applying a preset annotation template; generating a Javascript file code according to the React component, and generating a prompt file according to the annotation file and the Javascript file code to prompt the attributes of the React component. In the above manner, the embodiment of the present application can simplify the annotation and save the development time for the developer.