1199 results about "Computer software" patented technology

The invention discloses a cockpit visual work efficiency evaluation method. The method comprises the following steps: establishing a cockpit geometric model according to a real cockpit; establishing a cockpit light environment model according to the cockpit light environment parameters; establishing a cockpit optical material model according to the optical material parameters of the inner and outer surfaces of the cockpit; fusing and establishing a cockpit optical model; a simulation detector is arranged on the cockpit optical model; according to the cockpit optical model and the analog detector, human eye vision optical simulation and dazzle source space tracking and positioning are carried out; according to a glare source space tracking and positioning result, a cockpit structure is optimized; and performing cockpit visual work efficiency evaluation according to a cockpit structure optimization result. According to the cockpit visual work efficiency evaluation method, reasonable evaluation of cockpit visual work efficiency readable visibility in various environments is achieved, simulation is conducted on the cockpit light environment through computer software, and adjustment can be conducted according to the working habit, the vision condition, the age and other factors of each pilot.

The invention provides a multi-tenant data pushing method, and relates to the technical field of computer software and information, and the method comprises the steps: achieving unified identity authentication through single sign-on, and dynamically distributing a pushing authority based on an authority strategy; defining conversion rules and tasks by utilizing a visual interface of the low-code configuration center, and generating a standardized data packet; and centralized scheduling is carried out in a multi-tenant management and control center, and the stability of the system is guaranteed by combining a current limiting and dynamic retry mechanism. Source system data are collected in real time, and format conversion is completed through a rule engine after grammar, permission and event state verification. And pushing in an asynchronous mode, and recording full-link information including a tracking ID, a timestamp, a data fingerprint and a response state. And when pushing fails, a compensation mechanism is triggered, degradation or retry is carried out according to a preset rule, final consistency of data is ensured, and the reliability and maintainability of the system are improved.

The invention belongs to the technical field of computer software, and particularly relates to a heterogeneous database unified deployment management method based on a cluster management platform, which comprises the following steps: predefining metadata of various database services; the method comprises the following steps: pre-constructing a multi-version program package warehouse, and establishing a structured warehouse directory system; obtaining a chip architecture and an operating system type of the target node, and generating environment fingerprint information; dynamically selecting a database installation package matched with the current environment and a dependency item set of the database installation package by mapping a warehouse directory system; through a unified database adaptation layer, a standardized operation interface is called, and installation, configuration and start-stop operation of the database are executed; a visual deployment and arrangement function based on component roles is provided by expanding a Web service interface of the management platform; and according to a deployment arrangement result and the environment fingerprint information, calling a deployment script to complete automatic deployment and configuration of the database cluster. According to the invention, unified adaptation, deployment and full-life-cycle management of various domestic databases are realized.

The invention relates to an archive credible question and answer method based on graph context retrieval and knowledge graph enhancement, and belongs to the field of computer software and artificial intelligence. According to the method, the relation between key entities and entities in a historical file is extracted by using a multi-modal large language model MLLM, and low-confidence fields are automatically identified to generate marks needing to be manually rechecked, so that the correctness of information extraction is ensured while the workload of manual rechecking is reduced, and then based on a given knowledge base, the information extraction efficiency is improved. Previous related questions and answers are retrieved according to query questions to achieve context enhancement, and finally, credible answers are generated through a large language model (LLM) in combination with extracted information in historical archives. On the premise of keeping the value of the archive voucher, the processing efficiency and the knowledge service capability are remarkably improved.

The invention discloses a large model multi-agent-based quantum software defect detection method and a related device, and relates to the technical field of computer software tests.The method comprises the steps that efficient quantum software defect detection is achieved through multi-agent cooperation based on large language model driving, and first, initial defect judgment, abstract syntax tree and framework classification agents are conducted; extracting auxiliary information from the to-be-detected quantum software code to generate multi-dimensional auxiliary data; a static analysis integration agent is driven by the large language model, a corresponding quantum software static analysis tool is dynamically called according to the frame type, and structured alarm information related to the defect is extracted; and finally, based on the multi-dimensional auxiliary data and the structured alarm information, chain reasoning is carried out through the quantum field, defect prediction, defect verification and a defect evaluation agent, and a structured defect report is generated. The method effectively solves the problems that a traditional static tool is single in adaptation, large language model quantum knowledge is insufficient, and multi-source information is isolated, and guarantees defect judgment accuracy and report interpretability.

The invention relates to a visual component management method and system based on support of multi-user collaboration, and belongs to the technical field of computer software collaborative design. Wherein multi-party editing requests are received and verified through a cooperative access mechanism, structured component data are constructed by using a component modeling model, concurrent control and a difference buffer are adopted to coordinate parallel modification, write conflicts are identified and processed based on a conflict detection algorithm, and traceable management of component versions is realized through a snapshot generation model. According to the method, efficient, consistent and conflict-controllable unified management of the visual components in a multi-person online cooperation scene is realized, and the cooperation efficiency of component development and the system reliability are effectively improved.

The invention provides a document element rapid extraction system based on a pre-trained large model, and relates to the technical field of computer software application, the system comprises a parameter field adaptation module used for textualizing a document and constructing an industry standard corpus based on a textualized processing result, adjusting a preset language model by utilizing an industrial standard corpus; the dynamic document partitioning module is used for performing semantic segmentation processing on the industrial standard document to obtain a plurality of text blocks; the entity alignment module is used for carrying out entity and relation extraction on the text blocks and carrying out entity alignment in combination with a uniform manifold approximation and projection method; and the relation reasoning and knowledge graph completion module is used for performing completion processing on the preliminary knowledge graph and storing a completion result. According to the method, the element extraction efficiency can be directly improved without pre-defining a rule template or performing data annotation.

The invention relates to the field of computer software, and provides an AI-based low-code visual component dynamic generation method and system. The method comprises the following steps: receiving a component demand description input by a user, and converting the component demand description into structured cue word data to obtain an initial cue word sequence; retrieving matched template data and grammatical rule data from a component knowledge base according to the initial cue word sequence, and fusing the template data, the grammatical rule data and the initial cue word sequence to obtain an enhanced cue word sequence; performing semantic analysis and code generation processing on the enhanced cue word sequence through a large language model to obtain a component source code; and performing real-time rendering processing on the component source code through a component rendering engine, and generating an interactive component instance in a preview interface to obtain reusable component resources. According to the method, the code quality consistency is ensured, and the development efficiency is improved.

The invention belongs to the technical field of computer software, and particularly relates to a data lake and warehouse management deployment method applied to a domestic operating system, which comprises the following steps: establishing a heterogeneous server cluster, deploying various domestic operating systems in the server cluster, and completing configuration of a network architecture and a basic software environment; the method comprises the following steps: carrying out localization adaptation on a software component source code, synchronously modifying package management logic of a self-research data lake and warehouse management platform, and further implementing intelligent compiling to generate a program package for different instruction set architecture and domestic operating system combination; automatically generating and executing a deployment script by utilizing a self-developed data lake and warehouse management platform to complete installation and configuration of each software component on a target node; and after deployment of each software component is completed, systematic deep tuning and component-level accurate tuning are automatically performed on the deployed system and each software component, and automatic verification is executed. The invention provides an efficient, stable, safe and controllable data lake and warehouse integrated solution for users, wherein the data lake and warehouse integrated solution can be used immediately after being opened.

The invention discloses a cloud platform malicious code detection method and device based on a security big model, and a medium, belongs to the technical field of network security, and aims to solve the technical problem of how to realize efficient and accurate malicious code identification and response and guarantee the security of a cloud platform. According to the technical scheme, the method comprises the following steps: collecting and preprocessing multi-modal data: collecting the multi-modal data of codes, logs, network traffic and computer software threat information in a cloud platform, and preprocessing the multi-modal data to obtain the preprocessed multi-modal data; constructing a large security model: constructing the large security model by adopting a hybrid expert architecture and a multi-modal encoder; deploying and using the security big model: deploying the security big model by adopting a containerization technology and a cloud native technology; and malicious code detection based on the security big model: monitoring malicious codes of the cloud platform in combination with multi-modal reasoning of malicious features and behaviors, restoring an attack path and generating a response strategy.

The invention provides a metal plate strip surface detection method, system and device and a storage medium, and the method comprises the steps: collecting fluorescence measurement information by using an optical sensor when a metal plate strip is conveyed to a detection range, and then collecting a plate strip image by using a camera; uploading the plate and strip image to upper computer software to count gray information, preprocessing the plate and strip image, performing target segmentation by using a first neural network model based on the preprocessed image, and correcting a segmentation boundary by using a sub-pixel contour extraction method to obtain a residual iron particulate matter image and count residual iron image information; on the basis of the fluorescence measurement information, the gray scale information and the residual iron image information, a detection result is obtained through calculation by using a weighting formula of a weight coefficient determined by a second neural network model; and displaying a detection result in real time and setting a threshold alarm prompt. According to the invention, the camera and the optical sensor are used as detection equipment, and online detection can be realized without additional manual operation.

The invention provides an action chain dynamic arrangement and verification method based on metadata, and relates to the technical field of computer software, and the method comprises the steps: constructing an action metadata model which comprises an action identifier, a name, a type, an input parameter, a front dependency relationship and a rear dependency relationship; analyzing the action metadata model based on an action chain arrangement engine to identify and obtain business logic, dynamically constructing an action chain according to the business logic, configuring variable parameters of the action chain through an expression, and performing condition verification of the action chain by adopting a preposed verification mechanism; and the action chain executes corresponding business logic on the input parameters according to the sequence, and outputs an obtained output result to the next action.

The embodiment of the invention provides a service test case generation method, a storage medium and electronic equipment, and relates to the field of computer software tests.The method comprises the steps that an interface document is read and analyzed to obtain parameter information; based on the parameter information, constructing a dependency graph in a directed graph form; generating an initial scene based on the dependency graph, and filtering in combination with a service rule to obtain an effective scene; and for interface parameters in the effective scene, fusing equivalence class division, boundary value analysis and an abnormal value injection strategy, generating parameter combinations, and excluding the parameter combinations violating parameter constraints to obtain a test case. According to the method, the use case can be generated only through the interface document, and new online service is supported.

The invention relates to the technical field of computer software development and databases, in particular to an embedded database programming method which comprises the steps of intention model construction: scanning source codes to identify embedded syntax blocks, constructing an abstract syntax tree, stripping a bottom driver and generating a driver-independent intention model; a logic sequence synthesis step: injecting a dialect parameter and a resource strategy, synthesizing and executing a logic sequence and generating a target code; a fingerprint verification step: intercepting a request during operation, calculating a structure fingerprint, and performing consistency verification on the structure fingerprint and the reference fingerprint; and a binding execution step: executing the request after the verification is passed, and establishing weak reference life cycle binding of the resource object and the host variable. The resource leakage risk is eliminated, and the robustness of the system under long-time operation is enhanced.

The invention relates to the technical field of computer software, and discloses a large-model-oriented intelligent interface registration and framework calling method, which comprises the following steps that: a front-end service registers various back-end services based on a vyes framework through a uniform interface, and each back-end service transmits interface capability information through a standardized ap i. Json file; when a user requests, the front end packages request content and an ap i. Json file and submits the request content and the ap i. Json file to the large language model, the model analyzes an intention and matches an AP I interface, and a calling instruction is generated; after front-end analysis, the HTTP request is converted into a standard HTTP request to call back-end service, a back-end return result is integrated by the front end and then submitted to the large language model again to generate a natural language response, the natural language response is finally displayed to a user, and a closed-loop process is completed. According to the method, through deep fusion of self-registration, intelligent matching and automatic calling, the technical threshold of enterprise-level application is reduced, and deep landing of a large language model in the vertical field needing dynamic interaction and multi-service collaboration is promoted.

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.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for analyzing computer software source code. One of the methods includes receiving an updated snapshot of a source code file that comprises a change to an existing snapshot of the source code file maintained at a code repository for a software project; obtaining feature data; processing the feature data using a machine learning model to generate a classification output that classifies the updated snapshot into one of a plurality of categories; and performing, based on the classification output, an action with respect to the updated snapshot.

The invention relates to the technical field of computer software development and application deployment, and discloses a mobile terminal productization configuration method and system.The method comprises the steps that a cross-platform development framework and a front-end framework are selected and configured; common parts in page logic are extracted into independent modules, and differential requirements in different environments are met in a parameterization mode; loading a corresponding configuration file according to a target environment, wherein the target environment comprises a development environment and a production environment; defining a mapping relation between the input path and the output path, and dynamically synchronizing the function file under the input path to the output path in the construction process; and controlling the synchronization logic of the configuration file and the code file through the life cycle of the plug-in, wherein the synchronization logic comprises real-time monitoring in a development environment and one-time synchronization in a production environment. According to the method, the problem that customization and productization are difficult to consider in a traditional development mode is solved, and the development efficiency and the convenience of later maintenance are improved through a systematic technical means.

The invention discloses a distributed file management system and method, and belongs to the technical field of computer software, the system adopts a tree hierarchical structure to organize files, and the system comprises an application layer used for receiving file operation requests from a plurality of independent clients, and each request carries a unique application identifier; the file system layer comprises a configuration module, an operation module, a metadata management module, a day module, a timed task module and a gateway module, and the request is routed to a corresponding logic storage partition in the data layer according to an application identifier; the data layer comprises a database cluster and an object storage cluster, and performs persistent storage and management of logic isolation on metadata and file data according to application identifiers; and the infrastructure layer provides an extensible server and network resources. Based on a distributed architecture, load balancing and efficient access are realized through data storage partitioning, a metadata management and index technology and a client load balancing technology, and the expandability, fault tolerance and performance of the system are improved.

Methods, systems, and computer software for predicting after-etch profiles of features at varying depths. A method can include accessing after-development resist profiles of features. The method can also include applying an etch bias model on the after-development resist profiles to obtain the after-etch profiles, where the etch bias model correlates an etch bias with an etch depth.

The invention relates to a park micro-grid distributed power supply and energy storage coordinated optimization configuration method, and belongs to the field of power system computer software application. The method comprises the steps that original data collection and import design is carried out, and a user interaction visual interface is created and used for importing and visualizing original data needed by micro-grid planning; establishing and designing a distributed power generation model, namely establishing a wind power generation model and a photovoltaic power generation model; establishing and designing an energy storage model, and adopting a KiBaM quasi-steady-state battery simulation model; time-of-use electricity price setting design: designing a time-of-use electricity price setting interface; model control and target optimization design, including micro-grid power balance and storage battery charging and discharging power control design; designing a micro-grid operation program, and optimizing system configuration and a scheduling strategy; and carrying out simulation calculation and result data analysis, verifying the effectiveness of a system optimization configuration scheme, and realizing park micro-grid distributed power supply and energy storage coordinated optimal configuration.

The invention discloses an automatic reference format conversion system based on Web, and belongs to the field of computer software. The system adopts a B / S architecture, receives a Word manuscript uploaded by a user and an NBIB file exported by PubMed, and provides a dynamically loaded CSL style library for selecting a target periodical format. Through regular segmentation of NBIB entries, author information is analyzed according to an FAU priority strategy to generate standardized BibTeX data; the Word manuscript is converted into a JSON-VDOM tree with a reserved style, placeholders are positioned and referenced, a three-dimensional mapping index is established, the placeholders are replaced through CSL rendering, a reference list is added, and a final document is reversely generated. Temporary data are isolated and automatically cleaned through the UUID, and safety is guaranteed. The problems of local dependence, inaccurate analysis and tedious operation in the prior art are solved, the method is efficient, accurate, flexible and easy to use, and the paper reference typesetting efficiency is greatly improved.

The embodiment of the invention relates to the field of computer software testing, and discloses a buried point testing method and system, a server, a storage medium and a program product. The method comprises the following steps: calling a burying point test case described by a natural language corresponding to a tested object; identifying an operation platform of the tested object; converting the burying point test case described by the natural language into an underlying operation instruction executable by the operation platform, and sending the underlying operation instruction to the operation platform; and obtaining test result data reported after the operation platform executes the underlying operation instruction, obtaining expected result data of the buried point test case for the operation platform, and performing data assertion according to the test result data and the expected result data. According to the application, through the burying point test case described by the natural language, the operation steps in the burying point test are decoupled from the operation platform and the specific business, and the same test case can be suitable for different operation platforms, so that the problem of high maintenance cost caused by the fact that different platforms need to maintain test codes respectively is solved.

The invention relates to the technical field of computer software, and discloses a low-code-driven end-side cloud collaborative intelligent development and operation system and method, and the system comprises a low-code modeling module, an end-side cloud intelligent operator library, a resource sensing module, a monitoring module, an optimization module, an intelligent scheduling module and a deployment module. The low-code modeling module converts the operation information into a task description file; the intelligent scheduling module determines an initial execution position of each target operator in the task description file based on the task description file; calling an initial target execution operator corresponding to each target operator; the optimization module determines the final operation position of each target operator based on the computing resource information of the current terminal, the edge end and the cloud end; the deployment module calls a final target execution operator corresponding to each target operator; and the final target execution operator is allocated to the corresponding final operation position, so that migration and optimization of the end, the edge and the cloud can be dynamically performed, and a cross-layer application can be quickly constructed.

The application discloses a kind of methods for automatically analyzing and evaluating report, it is related to computer software and information processing technical field, including: based on graph neural network and visual-textual dual modal feature extractor, realize the adaptive analysis of complex non-standard structure report version, and the document is parsed into two-dimensional data table containing different classification dimensions;Based on BERT vectorization, etc. Adaptive clustering identifies the cluster structure of uneven semantic distribution, adopts the agglomerative hierarchical clustering to construct tree-shaped multi-granularity semantic hierarchy, realizes semantic aggregation;The application realizes the text content of non-standard form, the identification and processing of complex semantics;Overcome the defects of low efficiency, easy to make mistakes, subjective influence and only read specific format or specific location of text content, lack of flexibility and unable to handle complex semantics in prior art manual input.

The invention relates to the technical field of computer software testing, in particular to an AI-based webpage background automatic testing method and system.The method comprises the steps that a target webpage address, a login account and test target description input by a user are obtained, a decryption password corresponding to the login account is read from an encryption database, and meanwhile a browser driver is initialized; accessing a target webpage, adjusting a view to ensure that the webpage is completely displayed, monitoring a loading state, and retrying or reporting an error if loading is overtime; detecting a webpage login area, automatically filling an account password, and detecting a login state; matching functional navigation according to the test target description, if the functional navigation is not found, rolling a navigation view to unfold hidden items, and skipping to a target page after a target menu is positioned; according to the method, the target page data is collected, the target page data is analyzed through the multi-mode AI model in combination with the test target description, and the test report is generated. The method does not need scripts, adapts to page changes, is high in flexibility, and reduces the test cost and improves the test efficiency through AI visual judgment.

The invention relates to the technical field of computer software, provides a visual flow arrangement method for e-commerce marketing, and aims to solve the problem of insufficient system processing performance and expansibility when an existing flow arrangement technology is applied to an e-commerce marketing scene. Generating and storing a state transition rule set; obtaining a user behavior event, obtaining a historical state transition event sequence according to the user behavior event, and then dynamically calculating a current user journey state; acquiring a corresponding state transition rule set, and performing matching query by taking the current user journey state and the user behavior event as input; if matching succeeds, a corresponding marketing action command is executed, and a new state transition event is generated and persisted to an event log so as to update a user journey state, so that efficient and accurate state-driven rule matching and automatic execution are realized, and the processing efficiency, expandability and state traceability of a system in a high-concurrency scene are improved.

This application relates to port scan detection. A method includes identifying, in network data traffic, a set of source node and destination node (26) pairs, each pair having a given source node, a given destination node, and one or more ports (40) accessed in traffic between the nodes in each pair, and computing, for each pair, a respective baseline indicating a first number of ports accessed on the given destination node by source nodes other than the given source node in the pair during a first time period. For each pair, a respective test score is computed indicating a difference between a second number of ports accessed on the given destination node by the given source node in the pair during a second time period and the baseline, and a preventive action is initiated for the given source node for which the test score for any of the pairs is greater than a threshold.

The invention discloses an activity graph simulation execution visualization method and system based on fUML specification driving, and relates to the technical field of computer software, the method extracts core activity business data such as nodes and streams from a SysML activity graph model, converts the core activity business data into semantic data conforming to fUML and ALF standards, and then generates a standardized XMI format simulation file. And a simulation engine strictly following the fUML specification loads and analyzes the simulation file, converts the simulation file into an internally executable fUML instance model, and completes semantic check. And controlling a simulation engine to execute the model through an event-driven mechanism, issuing a state event in real time in the execution process, and driving a user interface to dynamically render the execution process of the activity graph in an animation form. According to the method, seamless connection of the SysML activity diagram from static design to dynamic executable verification is realized, the standard conformity of simulation semantics is ensured, and the verification efficiency and intuition of system function logic are improved.

The invention provides a loop dependency detection method and device, electronic equipment and a storage medium, and belongs to the technical field of computer software. The method comprises the following steps: acquiring a plurality of variables to be detected; based on the multiple to-be-detected variables, a first dependency graph is constructed, and the first dependency graph comprises each to-be-detected variable and information of a variable on which the to-be-detected variable depends; performing cyclic dependency detection on the basis of information of variables on which each to-be-detected variable depends in the first dependency relationship graph; and determining a loop dependence detection result. According to the invention, the efficiency of cyclic dependency detection can be improved.