115results about How to "Improve readability" patented technology

The application provides a numerical control machining program generation method, an electronic device and a storage medium. The method determines at least one first instruction string corresponding to a to-be-machined pattern according to the shape parameter and the corresponding process parameter of any to-be-machined pattern corresponding to a to-be-machined workpiece; acquires a machining parameter from a preset machining parameter library according to the corresponding process parameter, and determines at least one second instruction string corresponding thereto according to the acquired machining parameter; constructs a corresponding instruction string set according to the at least one first instruction string and the at least one second instruction string corresponding thereto based on the corresponding machining process; and generates a numerical control machining program based on the corresponding instruction string set, so as to clearly describe the hierarchical relationship between the internal instruction strings of the numerical control machining program, improve the readability, expandability, flexibility and accuracy of the numerical control machining program, and reduce the maintenance difficulty.

The application discloses a time capsule expression structure reservation method based on deep learning and a knowledge graph, and aims at solving the problems that the expression and organization structure of a user's sealed multi-modal content in a digital time capsule service is difficult to be identified and recorded, and the display according to the uploading time or the fixed template of the media type in the opening stage is easy to cause the distortion of the expression intention and the fragmentation of the receiving experience. The multi-modal content input in the sealing stage is normalized and time-aligned, the content representation is obtained by using multi-modal hierarchical coding, the segmentation boundary and hierarchical relationship are determined and the key weight and object information are extracted by combining span boundary detection and a pointer network, the narrative rhythm parameters are obtained by using a neural time point process modeling based on a media switching event sequence, a timing knowledge graph is fused and constructed, and the arrangement sequence and the presentation control parameters are generated under the sequence constraint and the segmentation continuous constraint by graph representation learning, and the presentation data for the display in the opening stage is generated, so that the technical effects of reserving the user's expression structure and rhythm and differentially arranging and presenting in the future are realized.

The embodiment of the invention provides a data processing method and system.The data processing method comprises the steps that to-be-detected data associated with a target service is determined, the to-be-detected data comprises source end data and target end data, and end-to-end connectivity detection can be achieved based on the to-be-detected data and the source end data and the target end data contained in the to-be-detected data. And constructing a logic detection path of a user perspective of the target service and a transmission detection path of a service provider perspective of the target service based on the to-be-detected data. According to the method, the detection auxiliary data is acquired for the detection item of the target service, and path detection is performed on the logic detection path and the transmission detection path based on the detection auxiliary data to obtain the detection data, so that connectivity detection from the source end to the target end is realized, and an accurate detection result is quickly obtained. The detection data is analyzed in at least one analysis dimension, the analysis result is obtained, the analysis result can be the detection result displayed in the form of an analysis report, and the readability of the detection result is improved.

This application discloses a health management and resource optimization configuration method for a distributed power supply in a test cabinet. The method includes: collecting electrical and temperature parameters of multiple sub-modules of the power supply during operation; extracting feature vectors representing the degradation state of the power supply based on a sliding time window; obtaining health information of multiple sub-modules; adaptively adjusting the reporting strategy of health information; and outputting power control commands for at least one sub-module. When a sub-module's health risk indicator is detected to exceed a preset risk threshold, the sub-module is marked as a risk sub-module, and at least one type of migrateable load is migrated from the risk sub-module to a candidate sub-module. Output channel isolation control is performed on the risk sub-module, and the power supply path used for status detection is retained. The display priority of multiple sub-modules is calculated, sorted and displayed according to the display priority, and multi-level alarm prompts corresponding to the health risk indicators are triggered simultaneously.

This application discloses a multi-source fusion log compression method and apparatus for anomaly detection, belonging to the field of anomaly detection technology. The multi-source fusion log compression method for anomaly detection includes: generating an audit origination graph corresponding to the system audit log, an application origination graph corresponding to the application log, and a domain name origination graph corresponding to the domain name system log based on the system audit log corresponding to the electronic device, the application log corresponding to the target application in the electronic device, and the domain name system log corresponding to the electronic device; fusing the domain name origination graph into the application origination graph based on the domain name nodes in the application origination graph to obtain a sub-fused origination graph; fusing the audit origination graph into the sub-fused origination graph based on the event nodes in the audit origination graph to obtain a fused origination graph; and performing anomaly detection based on the fused origination graph. The multi-source fusion log compression method for anomaly detection in this application can alleviate the problems of semantic gap and dependency explosion.

This invention belongs to the field of power monitoring technology and discloses a brightness balancing and regional smoothing fusion algorithm for power monitoring images. The method includes: image denoising, using mean filtering and median filtering to smooth the image; image registration, performing optimal matching on two or more images obtained from different sensors, at different times, or from different angles; and image region fusion, smoothly fusing images with different angles and brightness contrasts. This method is applicable to panoramic video monitoring systems. Designed specifically for the complex lighting and high electromagnetic interference characteristics of power operation sites, this invention effectively eliminates on-site noise through adaptive preprocessing, and achieves a balance between global brightness uniformity and local detail preservation through layered brightness balancing, solving the problems of incomplete brightness balancing and detail loss in power scenarios encountered by general algorithms.

This invention discloses a multi-task operation ticket continuous printing system and method. The system includes: a status management module for centrally maintaining and managing the status of tasks, steps, and page numbers during the printing process; a dynamic layout calculation module for real-time measurement and pagination decisions on the operation ticket content, including a paginator unit to determine whether drawing is allowed based on the real-time remaining space on the page; and a structured drawing module for executing page drawing based on the layout calculation results, with its drawing cycle following a "measurement, decision, execution" process and synchronously updating the status. The method, based on the above system, forms a closed-loop control process through four steps: initializing the printing status, performing dynamic layout calculation, performing structured page drawing, and updating the printing status, which is executed cyclically until all tasks are completed. This invention achieves accurate dynamic content adaptation, intelligent pagination, globally continuous page numbers, and unified format output for multi-task, multi-step operation tickets, solving the problems of chaotic layout and difficult status management in existing technologies. The system architecture is clear and easy to maintain and expand.

A memory and a forming method thereof, the memory comprising a substrate; a floating gate structure on the substrate; a select gate structure on the substrate and spaced from the floating gate structure, the select gate structure comprising a plurality of first gates extending in a first direction and spaced in a second direction; a first drain region in the substrate on one side of the first gates; a first source region in the substrate on another side of the first gates, and a plurality of the first source regions being electrically connected; a second drain region in the substrate on one side of the floating gate structure and electrically connected to the first source region; and a second source region in the substrate on another side of the floating gate structure. The first gates and the first drain and source regions on both sides of the first gates form select transistors, and the plurality of the first source regions being electrically connected makes the plurality of the select transistors in parallel, so that the current value input to the second drain region during writing is the sum of the output current values of the select transistors, and more charges enter the floating gate structure during writing, thereby facilitating distinguishing the state of the floating gate structure during writing.

The application relates to the technical field of aluminum alloy structure design, and discloses an aluminum alloy net shell structure design method and system based on a genetic algorithm. The method receives design requirement parameter input by a user, including span, height and load conditions of the net shell structure; divides the net shell structure into multiple design units corresponding to nodes or rod pieces; obtains historical performance data of aluminum alloy material, such as strength, rigidity and durability, from a database; determines the importance level and constraint level of each design unit based on the above data; generates an initial population containing multiple design schemes by using a genetic algorithm; iteratively executes selection, crossover and mutation operations to optimize the design individual; collects structure response data such as stress, strain and displacement in real time in the iteration; confirms whether a preset constraint condition is violated based on the data, and adjusts the genetic algorithm parameter if the constraint condition is violated; and outputs an optimal design result and generates a structure analysis image for the user to view.

The application discloses a kind of high-speed acquisition system and acquisition method applied to optical absolute gravimeter laser interference fringe signal, the system includes analog signal conditioning unit, analog-digital conversion unit, system core control unit, data cache unit, data transmission unit and measurement and control terminal processing display unit.The application is directed to laser interference fringe signal frequency is high, voltage amplitude is low, acquisition rate is fast, and absolute gravity precision measurement requires signal integrity, measurement precision is high, and the high-speed acquisition system of laser interference fringe signal of optical free-fall absolute gravimeter based on FPGA is designed, the advantage of FPGA parallel computation processing is fully utilized, in combination with serial bus transmission technology (USB) and FIFO cache technology, the processing time of acquisition system in interference fringe signal acquisition, storage and transmission etc. is greatly shortened.The application effectively improves the acquisition speed of absolute gravity, and provides basic guarantee for realizing dynamic measurement and monitoring of absolute gravity.

This invention discloses a new source evaluation method for internet technology information, belonging to the field of new source evaluation technology. To address the problems in existing technologies, such as users struggling to quickly find valuable information from a large volume of technology news, significant differences in information quality between different sources, and the lack of an effective source evaluation system, which prevents users from filtering information based on source reputation, this new source evaluation method for internet technology information effectively improves information acquisition and processing efficiency, ensures content quality and credibility, enhances readability and usability through sentiment analysis, topic classification, and relevance calculation, supports users in making informed decisions, promotes a virtuous cycle in the information ecosystem through multi-dimensional considerations in the evaluation system, and dynamically optimizes source evaluation through a user feedback mechanism, enabling personalized content recommendations, meeting user needs, and improving satisfaction.

The invention relates to a content generation method combining a knowledge graph and a large language model. The method comprises the following steps: based on multi-type target content data, extracting an entity, relationship and attribute triple of a multi-source corpus, dividing a theme cluster, constructing a knowledge graph, and carrying out standardized packaging on knowledge units to obtain a standardized knowledge set; analyzing a user input demand, obtaining a multi-dimensional demand feature, performing similarity matching with a theme cluster to obtain a target cluster, screening candidate knowledge through multi-hop retrieval, and obtaining an associated knowledge subset through three-dimensional evaluation index empowerment score sorting; converting the associated knowledge subset into an analyzable structured text, and adjusting and optimizing model generation parameters to obtain initial generation content; and comparing the initial content with a knowledge graph to obtain a result, optimizing text features and performing adaptive adjustment in combination with multi-type target content data and audience features, and obtaining standard content of target quality. Content generation in combination with the knowledge graph and the large language model is realized.

The invention relates to the technical field of power grid infrastructure projects. The invention discloses a structured design method and system for a feasibility research report of a power grid infrastructure project. The method comprises the steps of obtaining file data specified by related management of power grid infrastructure in a historical file library, and obtaining a structured text data set; performing structured information extraction on the text data set to obtain a structural framework set of the text; key review element extraction of the feasibility research content review rule is carried out on the text data set, and a key review element set is obtained; establishing logic association for each key review element, each node and each text in the text data set to obtain a mapping relation M of the key review element ID, the node ID and the text ID; according to the mapping relation M, a feasibility research report structure chart is formed, and a power grid infrastructure project feasibility research report template is created. The produced standardized template provides a solid and uniform data basis for treatment, integration and deep analysis of power grid data, thereby directly supporting scientificity and accuracy of investment decision.

The invention provides a sintering main exhaust fan energy efficiency evaluation method, device and equipment and a storage medium, and aims to overcome the limitation that an existing evaluation method is single in index, fuzzy in reference and incapable of quantifying each technical contribution degree. The method comprises the following steps: acquiring operation data of a historical reference period before the energy-saving system is put into operation, and calculating reference line indexes of power consumption per ton of sinter and comprehensive energy consumption; operation data of an evaluation period after commissioning is obtained, the evaluation period and a historical reference period are statistical periods with the same time length, and energy type and carbon effect type indexes of the evaluation period are calculated; and comparing the indexes and generating a visual evaluation report. According to the method, the comprehensive energy consumption scale and the carbon efficiency index are established, so that energy and carbon emission two-dimensional evaluation is realized; the data comparability is ensured through the matching period and the same-caliber statistics; and finally, an integrated report is generated, the data is converted into visual decision information, and a standardized assessment normal form is provided for energy-saving technology optimization and carbon asset management.

The present application relates to the technical field of signal processing and analysis, and discloses a fetal heart rate and uterine contraction double monitoring system based on artificial intelligence, which comprises a signal decoupling module for constructing a signal decomposition network of multi-channel physiological signals; a signal feature extraction module for extracting a time domain feature set and a frequency domain feature set of a fetal heart rate signal sequence and extracting a time-varying nonlinear feature set of a uterine contraction signal sequence; a coupling relationship analysis module for constructing a heart rate-contraction joint space-time feature map of the time-varying nonlinear feature set, the time domain feature set and the frequency domain feature set, and determining a heart rate-contraction coupling relationship of a fetal heart rate state and a contraction intensity; an abnormal joint index analysis module for calculating a fetal hypoxia probability and a contraction frequency probability of a pregnant woman to determine an abnormal joint index of the pregnant woman; and a monitoring report generation module for generating a monitoring report of the pregnant woman. The present application can improve the accuracy and comprehensiveness of fetal heart rate and uterine contraction double monitoring.

The invention discloses a business risk analysis method and device, electronic equipment and a storage medium, and relates to the technical field of artificial intelligence or other related fields, and the method comprises the steps: obtaining target multi-source data related to a target financial business from N financial data sources, N being a positive integer; the target multi-source data is input into a preset target model, a data analysis result in a natural language form is output, and the preset target model is a large model adjusted in advance according to the financial field direction and is used for analyzing risk data relevance of the target multi-source data and expressing the risk data relevance in the natural language form; and filling a preset report template with the data analysis result in the natural language form to obtain a business risk analysis report of the target financial business. Through the method and the device, the technical problem of low accuracy of a business risk report caused by insufficient data integration analysis in related technologies is solved.

The embodiment of the application provides a native application page processing method, device and equipment, the native application page is an H5 page, the native application loads a management class, the management class includes at least one interaction method, when detecting that the H5 page is opened, the at least one interaction method is registered into the view object of the native application according to the management class when detecting that the H5 page is opened, the calling message of the H5 page is listened to through the view object, and according to the calling message listened to, a target interaction method is executed, to realize the processing of the H5 page. Through the above process, the H5 page and the native application can directly agree on the interaction method, the H5 page calls the target interaction method when needed, and the native application executes the target interaction method according to the calling message listened to, avoiding the error-prone problem of the agreed URL in the prior art, and improving the readability and maintainability of the code and the development efficiency.

The application provides a day and night mode generation method and system based on large model semantic recognition, and relates to the technical field of human-computer interaction and artificial intelligence. It includes: in response to a day and night mode switching instruction, traversing a target webpage DOM tree to extract key nodes with color features and serializing them into structured data; inputting the structured data into a large language model for semantic role reasoning and outputting semantic labels; performing differential mapping on color values in the CIELAB color space according to the semantic labels; calculating the contrast of parent and child nodes and performing WCAG standard correction; and injecting the corrected color values into the style sheet as dynamic CSS variables, which realizes multi-modal perception driven day and night mode switching, reduces the human cost of UI redesign and front-end regression testing, reduces the alert color distortion rate and brand color phase offset, improves the readability and accuracy of chart data, and is suitable for day and night mode transformation scenarios of various enterprise-level management systems.

This invention relates to the field of noise testing technology, and particularly to a method and system for testing the noise of electric drive assemblies in new energy vehicles. The method includes: constructing a test platform for electric drive noise; delineating a test area; drawing a traffic network distribution map within the test area; marking all road segments; acquiring real-world images of each road segment; and generating environmental data, wherein the environmental data includes at least: road condition information, type, and traffic flow. Through the test platform, the method obtains data reading permissions for the test vehicle; selects the deployment location of the audio pickup device at the electric drive assembly; collects audio data; locates the real-time position of the test vehicle; and uses a preset timestamp. This invention, by generating a test report, can intuitively display the road segments corresponding to the noise and perform correlation analysis between noise data and road attributes, thereby quickly identifying concentrated areas of abnormal noise and improving the accuracy and readability of noise test results.

The utility model discloses an efficient plate labeling machine with an automatic decontamination mechanism, which relates to the technical field of plate processing equipment and comprises a labeling machine body and a transmission belt arranged on the labeling machine body. A protection shell is arranged on the right side of the upper end of the transmission belt, a plate body is arranged in the protection shell, a reciprocating sweeping mechanism is arranged on the protection shell, and a driving gear is fixedly installed at the output end of the motor. The utility model discloses an efficient plate labeling machine with an automatic decontamination mechanism. The driving gear and the driven gear are meshed with each other so as to drive the driven gear to rotate, the driven gear further drives the rotating shaft to rotate, the rotating shaft drives the sweeping rod to rotate along with the rotating shaft, the driving gear further drives the straight tooth rack to rotate, the straight tooth rack moves in the guide groove, and the straight tooth rack and the driven gear are meshed with each other. And the driven gear can move in a reciprocating mode, so that the plate body is repeatedly cleaned, and it can be ensured that dust on the surface of the plate is thoroughly cleaned.

The application discloses an unmanned aerial vehicle aerial photograph image enhancement processing method and system, relates to the technical field of image processing, and comprises the following steps: constructing a three-dimensional regional map model of a target aerial photograph region, determining a target aerial photograph route and a target aerial photograph state of an unmanned aerial vehicle device; controlling the unmanned aerial vehicle device to collect images of the target aerial photograph region based on the target aerial photograph route and the target aerial photograph state, and generating initial sub-aerial photograph image data; performing geometric correction processing on the initial sub-aerial photograph image data to obtain first sub-aerial photograph image data; performing denoising processing on the first sub-aerial photograph image data to obtain second sub-aerial photograph image data; performing image enhancement processing on the second sub-aerial photograph image data to obtain target sub-aerial photograph image data; and performing fusion processing on a plurality of target sub-aerial photograph image data to obtain enhanced aerial photograph image data, so that the aerial photograph route and the state of the unmanned aerial vehicle can be optimized, and the aerial photograph image can be corrected, denoised, enhanced and fused, and the quality and the definition of the aerial photograph image are significantly improved.

The embodiment of the invention discloses a file conversion method and device. The specific embodiment of the method comprises the following steps: detecting the validity of a text file and a list file in response to a received request for converting the text file into the list file; in response to the detection that the text file and the list file are valid, detecting whether the original text content of the original text column of the list file is empty or not; in response to detection that the original text content of the original text column of the list file is not empty, matching the original text content of the original text column of the list file with the original text content of the original text item of the text file; and in response to successful matching, assigning the translation content of the translation item corresponding to the original text content of the original text item of the text file to the translation column of the current row where the original text content of the original text item of the list file is located. According to the embodiment, after the text file is converted into the list file, the data of the list file are clearer in row and column, and the readability is higher. And the content can be paged to facilitate item summarization and statistics. And after the list file is converted into the text file, the error rate is low, and the problems of copying serialization and the like are avoided.

This invention relates to computer programming and software engineering technology, specifically to a program control flow visualization method and system, and an electronic device. The program control flow visualization method includes: receiving an abstract syntax tree generated by a parser after parsing the program control flow source code through a receiving module; converting the control flow statements contained in the abstract syntax tree into a standardized flow graph containing only if / else conditional branches and unconditional edges through a conversion module according to a preset reduction rule; and adjusting the positions of unconditional edges and corresponding nodes and edges of each statement in the standardized flow graph through an image processing module according to an orthogonal layout method and / or a conflict elimination method, so as to optimize the standardized flow graph into a non-intersecting visual layout graphic.

The invention relates to the technical field of data management, and provides a lightweight business data change history recording method and system.The method comprises the steps that data persistence operation initiated through an ORM framework is intercepted and analyzed, and the operation type, involved target business objects and corresponding operation conditions of the data persistence operation are determined; reading external dynamic configuration, and judging whether the target business object is set as an audit object which needs to record a change history according to configuration information; and for the audit object needing to record the change history, automatically executing data state capture and audit log generation corresponding to the operation type. According to the method, the development efficiency can be remarkably improved, the maintenance cost can be remarkably reduced, non-invasion and purity of service codes are achieved, high flexibility and expandability are provided, integrity and traceability of audit data are guaranteed, and system operation and maintenance and data governance experience are optimized.

This invention specifically relates to a method for accessing Special Function Registers (SFRs) in the 8051 core. This method involves re-dividing the xdata region of the 8051, allocating a portion of the xdata region for SFR remapping, and remapping data in the SFRs to the pre-divided xdata region. The data remapped to the xdata region is updated synchronously in real time according to the data in the SFRs. By designing pointers that point to the remapped data in the xdata region, indirect access to the SFRs is achieved. The aim is to efficiently and quickly access chip peripherals through indirect access via pointers, ensuring good readability of the 8051 core's SFRs and providing significant convenience for library design and development.

A credit evaluation method for construction industry enterprises relates to the field of informatization, characterized in that the method comprises the following steps: standard modeling: data analysis in index extraction, forming a standard model library; data aggregation: real-time detection of the qualification of the evaluation object and the evaluation user through unified authentication, forming the final evaluation data; data aggregation of the current evaluation period; special evaluation: executing the final evaluation data, index model and other data sources as parameters into the calculation engine for process log recording, obtaining the operation result and persistent storage. Advantage: by accessing different construction industry enterprise qualification credit evaluation standards, a unified standard index analysis is provided, mainly from the aspects of type, traceability length, data source, aggregation mode and the like. Through index data analysis, a data model of index extraction data is formed, and a standard index information is formed taking one type of information as an example.

The application discloses a kind of based on graphical C language code file automatic generation system, comprising: data structure module, data mapping module, C language code file generation module and data storage module, data structure module is used to save the variable of component, data mapping module is used to establish the corresponding relationship of data element between two data models, data field and target field are matched, complete the conversion of data, C language code file generation module is used to generate the final C language code file according to data information in combination with data structure and operation rule, data storage module is used to store the code generated, the present application uses simple and easy automatic code generation mechanism, can automatically generate high-quality production C code meeting MISRA standard, improve the readability of code, and various interfaces and standardized file exchange format are provided by code generator, can integrate tool into the development process and tool chain of user.

The application discloses a kind of intelligent video caption automatic generation and synchronization method and system based on multi-modal artificial intelligence.The method obtains video file or live stream and separates audio stream and video frame sequence, performs speech recognition on audio stream to obtain recognized text with initial timestamp, performs semantic boundary recognition and caption segment reorganization on recognized text, performs visual element detection and picture feature analysis on video frame sequence, and based on structured caption segment, picture importance distribution and video rhythm characteristics, the display time, display position and display style of caption segment are jointly optimized, and finally generate caption file, embedded caption video or real-time caption stream.The application can improve caption punctuation, reduce blocking key picture elements and improve caption readability in complex background.

This invention relates to the field of information technology, specifically to a decision tree method, execution engine, and performance optimization method and system for performance analysis. The basic principle of the solution is to propose an innovative decision tree representation method, abstracting performance expert logic into a full binary tree model, and defining it as a machine-readable decision tree definition file using a specific syntax. The branch nodes are ternary expressions containing atomic capability function calls, and the leaf nodes are parallel-executable solution expressions. The accompanying dedicated execution engine loads the decision tree into a two-dimensional array structure, calculates indices based on node execution results, and performs layer-by-layer jumps, ultimately driving the execution of the solution. This invention realizes the transformation of the performance analysis process from experience-dependent to standardized and automated execution, solving the problems of difficult knowledge accumulation, low analysis efficiency, and cumbersome or unsuitable general automation tools in existing technologies. It possesses the core effects of high readability, high execution efficiency, and strong scalability.

The application provides a live conference real-time subtitle generation method and system fused with AI, relates to the field of real-time subtitle generation, and comprises the following steps: collecting an audio stream and dividing the audio stream into segments, assigning a sound source identifier to each audio subsegment after sound source separation and identification; performing speech recognition on the identified audio and associating the sound source to generate identified text; correcting text ambiguity by using a context knowledge base containing a subject word table and historical text; cutting the text according to an audio energy envelope to form a subtitle unit; calculating a subtitle display time, assigning a vertical offset to subtitles with overlapping time but different sound sources to realize spatial separation; adjusting the subtitle display coordinates in combination with a disabled area determined by a video frame foreground, and rendering and outputting. The method realizes clear distinction and accurate presentation of multi-speaker subtitles, and improves the readability and user experience of conference live subtitles.