608 results about "Software technology" patented technology

A Circadian Rhythm Monitoring and Regulation (CMR) system and method that includes: a novel non-obtrusive wearable system for increasing the health and productivity of warfighters or other individuals that are disrupted by excessive, abnormal shifts in work or flights across multiple time zones. The CMR system is based on advanced sensor and software technology and models of human circadian system phototransduction and a circadian stimulator oscillator developed by applicants. It measures circadian misalignment and provides lighting suggestions for circadian rhythm maintenance and realignment.

The invention discloses a webpage generation method and device, electronic equipment and a storage medium, and relates to the technical field of computer software or other related fields, the method comprises the following steps: receiving demand information of a user for an expected webpage, and inputting the demand information into a target language model to obtain N pieces of component information in the expected webpage, N being a positive integer; retrieving a target database based on the N pieces of component information to obtain a retrieval result; inputting fusion demand information of the retrieval result and the demand information into the target language model to obtain a configuration code which is used for describing the page layout, the component attribute and the application logic of the expected webpage; and analyzing the configuration code to obtain a corresponding source code, and rendering the page based on the source code to obtain a target webpage corresponding to the expected webpage. According to the method and the device, the technical problem that the generated webpage does not accord with the intention of the user due to understanding limitation of a low-code platform fused with a large language model in related technologies is solved.

The invention provides an EDA software and heterogeneous process design rule collaborative verification method, which relates to the technical field of EDA software, and comprises the following steps of: extracting time sequence characteristics in a dynamic association graph through a bidirectional long-short-term memory network, analyzing node coupling strength by utilizing a multi-head graph attention network to generate a hierarchical importance scoring matrix; and outputting a conflict risk tensor and a propagation path prediction map based on a depth rule conflict prediction model, and generating a correction strategy in combination with a variational auto-encoder and a reinforcement learning network. According to the method, design rule conflicts can be accurately predicted and positioned, an effective correction scheme is provided, and the accuracy and efficiency of heterogeneous process design rule verification are improved.

A method and an apparatus for generating an interaction component of a client UI, a terminal, and a medium, relating to the technical field of IT and software. A UI effect picture and requirement description information are acquired, feature extraction and feature linguistic conversion are performed on the UI effect picture by means of a preset multi-modal model, attribute text information of the UI effect picture is obtained and same is converted into an attribute vectorized feature, and then, by using a pre-constructed UI component knowledge base, attribute vectorized data obtained from the UI effect picture is used as retrieved keyword information for performing similarity matching with UI component objects in the UI component knowledge base, thereby finding a similar target UI component object. The attribute information automatically extracted on the basis of the inputted UI effect picture is used as a keyword, solving the problem of inaccurate searching due to existing reuse code keyword summaries being ununified, and the accuracy of reuse code querying and the stability of a querying effect are improved.

The invention relates to the fields of computer graphic processing, industrial software technology and the like, discloses a Cocos engine-oriented pipeline loop perception linear decomposition method, and aims to solve the problem that a complex topological graph which cannot be effectively processed and comprises a high-density nested loop in the prior art. The structure is completely and accurately decomposed into a linear drawing instruction sequence which can be accepted by a Cocos engine, and lossless conversion of original topological information is ensured; comprising the steps that after undirected topological graph data are input, a ring detection algorithm is called to recognize and record all independent ring structures in an undirected topological graph and nodes and edges contained in the independent ring structures; judging whether at least one ring is detected in the previous step, and if the at least one ring exists, assigning a determined traversal direction for each detected ring according to a preset ring direction rule; and if the ring does not exist, skipping, and directly performing depth-first search traversal on the undirected topological graph data.

The invention discloses a data processing system and method based on a federated architecture interface and related equipment, and relates to the technical field of computer software, in particular to a federated architecture distributed system formed based on a central coordination node and a plurality of regional autonomous nodes. The central coordination node is used for performing global strategy making, metadata block chain evidence storage, conflict detection and federated monitoring and self-healing to realize global management and control, and the regional autonomous node adapts to a physical machine heterogeneous environment to perform local strategy execution, heterogeneous protocol conversion and resource autonomous regulation and control so as to realize flexible regulation of a regional strategy. According to the scheme, through a federated and intelligent treatment system, inherent contradictions between centralized management and control and department autonomy, standardization and rapid iteration and global safety and local flexibility are solved, technical support is provided for an enterprise to construct a standardized, high-reliability and easy-to-expand API ecological system, digital transformation is assisted, and the enterprise safety is improved. And global controllability and local autonomy of enterprise-level API ecology are realized.

The invention relates to the technical field of software, in particular to a low-code-based industrial simulation software development and application method and system.The method comprises the steps that firstly, component packaging is conducted on multiple subjects, and an industrial simulation component library is generated; then, based on a user dragging instruction, assembling a target component in an industrial simulation component library to determine a function node corresponding to the industrial simulation software; generating and operating industrial simulation software on the basis of the assembly result and configuration parameters which are input or preset by a user and correspond to the components; training an AI agent model based on historical simulation data of a plurality of industrial simulation software; and receiving and analyzing the natural language instruction of the user, and generating result data corresponding to the natural language instruction of the user based on an analysis result and the AI proxy model. Therefore, the industrial simulation software can be simply and efficiently generated, the development difficulty and cost of the industrial simulation software are reduced, and the computing power cost of actual simulation calculation is greatly reduced through the use of the AI proxy model.

The invention discloses a code change influence analysis method and device, equipment and a storage medium, and relates to the technical field of software, the method comprises the following steps: performing grammar analysis on a multi-programming language code to obtain a back-end abstract syntax tree and a front-end abstract syntax tree, and converting the back-end abstract syntax tree and the front-end abstract syntax tree into a uniform syntax tree structure through a front-end and back-end calling mapping chain; a cross-language dependency graph is constructed according to the unified syntax tree structure, the cross-language dependency graph is composed of nodes and edges, the nodes represent code entities, and the edges represent dependency relations; and when the code change of the bank business is detected, traversing the cross-language dependency graph through a graph traversal algorithm to obtain a code change influence result. Due to the fact that the back-end abstract syntax tree and the front-end abstract syntax tree of the multi-programming language codes are constructed and connected in series, the perfect cross-language dependency graph is constructed, the front-end link and the rear-end link are connected, cross-language tracking can be achieved when the codes of the banking business are changed, and the influence of code change can be accurately analyzed.

The present invention discloses a method, device, and medium for identifying software component analysis, which relates to the technical field of software technology. Specifically, it includes: obtaining all files in the software to be identified to obtain a first data set; extracting meta-file data to obtain a second data set, and obtaining a first open-source file set through first feature matching; performing deletion processing on the first data set to obtain a third data set, calculating the minimum hash signature through the program abstract syntax tree and the corresponding sub-syntax tree to generate a second feature set, and obtaining a second open-source file set through third feature matching; performing deletion processing on the third data set to obtain a fourth data set, obtaining an updated syntax tree based on the abstract syntax tree and the fourth data set and constructing a control flow diagram, and obtaining a third open-source file set through fourth feature matching between the third feature set and a preset reference database; merging the first open-source file set, the second open-source file set, and the second open-source file set to obtain the total open-source component set in the software to be identified.

The invention discloses a Qiankun micro-front-end problem management system and method based on an AI large model and a storage medium, and relates to the technical field of software, the Qiankun micro-front-end problem management system comprises a Qiankun micro-front-end main project and a Qiankun micro-front-end sub-project, the main project is provided with a problem management page and a problem feedback switch, error data processing is carried out, an AI large model is called to analyze, error description problems are returned, and the Qiankun micro-front-end problem management system is and the sub-project collects errors, automatically captures the errors when the problem feedback switch is turned on, and reports the errors to the main project. Problem management is performed based on the Qiankun micro front end and by fusing the AI large model, the whole process of problem feedback-solution-query is realized, the problem is not required to be fed back manually by a user, related information of an abnormal problem is recorded automatically, problem library management is also realized, and the user can query autonomously and conveniently.

The invention discloses a three-dimensional conversion method for a two-dimensional geological profile map, and the method comprises the steps: S100, data obtaining and preprocessing: obtaining an original geological profile map, carrying out the format conversion of the original geological profile map, eliminating overlapped line segments and micro short line segments, and maintaining the topological consistency; s200, conversion parameter calculation is conducted, specifically, drilling coordinates are obtained, and a conversion script is compiled based on the real geodetic coordinates, the two-dimensional profile map coordinates and the azimuth angle; and S300, conversion execution: reading the map subjected to format conversion in the S100 into three-dimensional modeling software, and executing the script language compiled in the S200 to obtain a three-dimensional geological profile map. According to the method, the whole file is converted, the conversion from the two-dimensional geological prospecting line section to the three-dimensional geological section map can be rapidly and integrally completed through the existing software technology and simple script codes so as to be used for three-dimensional geological modeling, a large amount of manpower and material resources can be effectively saved, and the production efficiency can be improved.

The invention discloses a cloud management and intelligent distribution method for classroom teaching resources, and relates to the technical field of cloud computing software. The classroom teaching resource cloud management and intelligent distribution method comprises the steps that S1, multi-source teaching resource data and auxiliary distribution data are acquired and preprocessed, and a knowledge content database is constructed; s2, performing semantic fusion analysis through text semantic association, structural consistency and professional term coverage data; s3, carrying out dependency evaluation by fusing pre-association, knowledge co-occurrence, sequence association and semantic fusion data; s4, performing resource adaptability distribution analysis through the maximum knowledge dependence value in combination with the learning state data and the historical feedback data; and S5, evaluating the teaching resource quality by collecting classroom feedback, teacher evaluation and resource use data, and implementing content optimization. The problems of semantic distortion, path breakage, distribution mismatching and resource updating inconsistency in the teaching resource data fusion and intelligent resource distribution process are solved.

The invention discloses a fault positioning method, device and equipment and a computer program product, and relates to the technical field of computer software, and the method comprises the steps: carrying out the anomaly detection of a to-be-detected business system, and obtaining a plurality of pieces of anomaly information; analyzing the multiple pieces of abnormal information to obtain an abnormal association relationship; and identifying the abnormal association relationship, and performing layer-by-layer recursive positioning of a fault cause according to the obtained abnormal topological relationship until analysis of each layer in the abnormal topological relationship is completed. The abnormal information in the service system is detected in real time, and data support is provided for fault positioning. By analyzing the abnormal association relationship between the abnormal information and further identifying the abnormal topological relationship, the service influence range can be identified. And according to the topological relation, recursively drilling down to a downstream service and resource level layer by layer until the root cause of the fault is positioned, so that the fault type and the fault point position are accurately positioned, and guarantee is provided for service continuity.

The invention provides a page generation method, and relates to the technical field of computer software, in particular to the technical field of automatic page generation and artificial intelligence of a low-code platform. According to the specific implementation scheme, a page generation demand input by a user is analyzed, and page features are obtained; converting the page features into structured page data in an object representation format through a large model; and determining a corresponding target component based on the structured page data in the object representation format, and generating a target page according to the target component. The page generation efficiency and accuracy can be improved, and dependence on professional developers is reduced.

The invention belongs to the technical field of traditional Chinese medicine and software, and particularly relates to a traditional Chinese medicine syndrome differentiation aid decision-making method based on trans-modal attention Transform. The invention provides traditional Chinese medicine syndrome differentiation based on cross-modal attention Transform, and aims to explore a more scientific and systematic traditional Chinese medicine syndrome differentiation method by integrating multi-modal data such as visual sense, auditory sense, language, pulse condition and the like. Specifically, information such as complexion and tongue coating is obtained by inspection diagnosis through an image processing technology; the auscultation and diagnosis obtains sound information such as respiration and cough through a sound recognition technology; the inquiry analyzes the chief complaint and symptom description of the patient through a natural language processing technology; pulse condition data are collected through the sensor technology in the clinics. A multi-modal hierarchical dialectical logic framework is constructed, an exclusive attention mechanism is designed for each dialectical method, the overall view and dialectical thinking of traditional Chinese medicine are fully reflected, and a more reasonable dialectical result is generated.

The invention relates to the field of thermal power generating unit safety evaluation emerging software technology service, and discloses a thermal power generating unit multi-parameter intelligent control and safety evaluation system and method, and the system comprises a central processor, and a safety situation sensing module, a real-time alarm module and a visual display module which are connected with the central processor. A safety assessment grade table is preset in the central processing unit, and the central processing unit is used for receiving sensing information of the safety situation sensing module, comparing standard values of corresponding parameter items in the safety assessment grade table, judging whether the corresponding safety sensing items are abnormal or not, and if yes, giving an alarm through the real-time alarm module. And at the same time, the visual display module marks abnormal items for display. According to the invention, safe, stable and efficient operation of the thermal power generating unit can be realized, and visual, quantifiable and refined management of field operation can be realized.

The invention relates to the technical field of software, and discloses an approval method based on enterprise comprehensive organization architecture, comprising the following steps: S1, receiving an approval request submitted by a user, and obtaining applicant information and associated business data; s2, loading a pre-configured process view; s3, dynamically adapting a node sequence according to the organization structure to which the applicant belongs: if the current node is not matched with an auditor, automatically skipping the node, and supporting to insert a custom node in the fixed node sequence; s4, generating each node auditor based on an auditor identity matching rule; s5, executing node circulation; and S6, outputting an examination and approval result and generating an examination and approval record. According to the method, the approval node sequence can be dynamically adapted according to the enterprise organizational structure and the business data, nodes which are not matched with auditors are automatically skipped, redundant nodes such as user-defined nodes are supported to be inserted or branch leaders are deleted, different business scene requirements are flexibly met, and the adaptability of the approval process to the enterprise complex organizational structure is improved.

The invention relates to the technical field of software, and discloses a dynamic audio buffer management method and system and a medium. The method comprises the following steps: presetting a white list library of a plurality of application scenes, and matching a package name of a current foreground running application with the white list library to determine a current application scene; acquiring system performance state parameters in real time, wherein the parameters comprise at least one of a CPU occupancy rate, a memory occupancy rate and a temperature control and frequency limiting state; generating a buffer adjustment variable according to a statistical result of the audio lagging times; inputting the current application scene, the system performance state parameter and the buffer area adjustment variable into a preset strategy model, and outputting a buffer area gear value; and dynamically adjusting the size of a buffer area of an audio driving layer according to the gear value so as to adapt to the performance change of the system. According to the invention, the problem of lagging or delay caused by a fixed buffer area can be solved.

The invention discloses a multi-language PLC configuration software component library expansion method and system based on LLVM, and relates to the technical field of configuration software, the method comprises the following steps: obtaining language source codes of various types of programming languages supporting the LLVM front end; inputting the language source code of each type of programming language into a corresponding LLVM front-end compiler, and converting the language source code into a standard intermediate representation; establishing a general language characteristic analysis framework; establishing a general abstract metadata injection framework; building a mapping rule framework; integrating the general language framework, the general abstract metadata injection framework, the mapping rule framework and the output result, and generating a unified extended intermediate representation; and generating an interface component library conforming to the IEC standard. According to the method, any programming language with an LLVM front end is supported, a developer can directly utilize a mature algorithm library in each language ecosystem to select the programming language most suitable for a specific application scene, and the development period is remarkably shortened.

The invention relates to the technical field of software, and discloses a nursing shift change system based on homologous heterogeneous data fusion and a large language model, and the system comprises a shift change generation module which comprises a first generation unit and a second generation unit, calling a large language model to generate global summary information of nursing shift change; and the second generation unit is used for calling a large language model to generate corresponding detailed handover information only based on the original data of the key event. And the report synthesis module is used for integrating the global summary information and the detailed handover information according to a preset structure to generate a nursing handover report. According to the method, the panoramic data view of the patient is constructed based on the unified time axis, so that structured data and unstructured data which are originally dispersed in different systems can be organized and called in the same semantic space, and a consistent data basis is provided for subsequent data analysis and processing.

The invention relates to an artificial intelligence application service software development terminal, relates to the technical field of computer software, and aims to simplify and accelerate the design, development, test, deployment and management processes of artificial intelligence application services. The terminal integrates a data processing module, a model development module, a service definition module and a deployment management module, and provides a unified integrated development environment. Through a user-friendly graphical interface, a developer can conveniently import, label and preprocess data; an artificial intelligence model is selected or constructed, and training and evaluation are carried out; defining input and output, an interface protocol and runtime configuration of the model, and packaging the model into a callable service; and the services are deployed to various target platforms. According to the method, the development threshold is effectively reduced, the development efficiency is improved, and wider application of the AI technology is promoted.

The invention discloses a nuclear power plant instrument control system control algorithm simulation device and a simulation method thereof, and relates to the technical field of nuclear power plant instrument control software. The device comprises a user interface used for responding to user interaction operation, constructing a model structure of a control algorithm and receiving user input data as input data of the model structure; the code generation engine is used for analyzing the xml file corresponding to the model structure and obtaining source code implementation of a main operator of the model structure based on an analysis result; and the model entity is used for packaging and compiling the source code of the main operator to obtain an executable program of the model structure, executing the executable program based on the input data of the model structure to obtain a simulation result of the model structure, and sending the simulation result to the user interface for display. According to the device, the software verification process can get rid of dependence on embedded hardware equipment, and the software development and debugging efficiency is improved.

The embodiment of the invention provides an option searching method, electronic equipment, an option searching device and a medium, and relates to the technical field of software. Obtaining a search field input in the search page; obtaining a target option matched with the search field and corresponding target option information from options configured on the BIOS Setup interface; loading a target jump component corresponding to the target option in the search page, wherein the target jump component is associated with target option information of the corresponding target option; and if the target jump component is selected, creating and loading a target page where the target jump component is located according to the target option information associated with the target jump component. By applying the scheme provided by the embodiment of the invention, the operation complexity in an option searching process when a user accesses a BIOS Setup interface can be reduced.

The invention relates to the technical field of software, and discloses an IPMB (Intelligent Power Management Bus) hanging prevention method, system and equipment based on a domestic MCU (Microprogrammed Control Unit) and a medium. The method comprises the following steps: sending a message to an IPMB bus through slave equipment, and detecting whether the IPMB bus is in a busy state or not through an external buffer connected with the slave equipment; in response to the fact that the IPMB is detected to be in the busy state, the external buffer disconnects physical connection between the slave equipment and the IPMB through the built-in switch; and in response to detecting that the IPMB is in a non-busy state and monitoring that response corresponding to the message waits for timeout and the number of times of waiting for timeout is greater than a preset number of times, the slave equipment sends a communication stop signal to the IPMB and triggers an equipment re-mounting mechanism. According to the scheme of the invention, the problem that multiple hosts seize a bus to cause busy in an IPMB application scene is effectively solved through a dual hanging-up prevention mechanism, and the situation that the whole link is hung up is avoided.

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 present disclosure relates to software technologies, and in particular, to a distributed transaction processing method, system, apparatus and readable storage medium. The method includes a policy data management module creating and initializing a historical version table used to record data content and version information of each version of a target data entity. The initialized version information includes first version information that corresponds to first version data content of the target data entity. The method includes a transaction process processing module sending a received first-type operation request to the policy data management module; and the policy data management module reading the historical version table and recording the second version data content acquired by performing the first-type operation on the first version data content. In this way, distributed transaction processing efficiency and service rollback capability can be improved based on a historical version table, which helps improve user experience.

The invention discloses a personalized operation guide intelligent generation method based on a multi-modal behavior path chain, and relates to the technical field of software, the method comprises the following steps: defining an interaction object, and setting an ID and a basic attribute of the interaction object; the user triggers an interaction object and uploads interaction record data; performing user path modeling by using the interaction record data, and inputting user path modeling data into an AI large model to analyze a user operation intention; and generating an operation guide by combining the interaction record data of the user, the user path modeling data and the user operation intention. According to the method, interaction event nodes are defined, user operation behaviors are recorded, identity information is associated, a user path chain database is constructed, an AI algorithm is adopted to analyze user path chain data to visualize the operation guide, and dynamic optimization of the operation guide is achieved. The technical problems that a traditional static guide depends on manual writing, when a product has a personalized page generation function, the user portrait cannot be dynamically adapted, and operation traceability visualization is insufficient are solved.

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.

The invention relates to the technical field of software, in particular to an automatic construction method based on dependency topology analysis and dynamic orchestration, which comprises the following steps of: reading and analyzing a predefined configuration file to construct a service dependency relationship graph; wherein nodes in the service dependency relationship graph represent services, and directed edges represent dependency relationships among the services. According to the method, the predefined configuration file is read and analyzed to construct the service dependency relationship graph, so that automation of dependency management is realized, and manual identification errors are avoided; through dynamic mapping of services and construction tasks, the problem of conversion from a logic architecture to physical execution is solved; based on collaborative optimization of topological sorting and a priority strategy, the construction efficiency and the resource utilization rate are improved, and time consumed by a critical path is shortened. Therefore, full-link automation from dependency identification and task mapping to intelligent arrangement is completed, and the efficiency bottleneck and error risk caused by manual intervention are effectively solved.

A method for generating technical documentation corresponding to source code is provided. In response to a repository selection received from a user terminal 110, the device 100 receives repository information related to the repository from a code management system 130 (S201 to S203). The device 100 then extracts multiple API code candidates and one or more root file candidates from the repository information (S204). The device 100 then requests a generative AI model (k) to determine paths for the multiple API codes and one or more root files using the extracted file candidates (S205) and receives the determined paths (S206). For each API code, the device 100 requests a generative AI model (l) to generate API documentation corresponding to the API code, and receives and stores the generated technical documentation (S207 to S209).