187results about How to "Shorten development time" patented technology

The invention relates to the technical field of computer processing, in particular to a software architecture code generation method and system based on a large language model, and provides the following scheme: obtaining demand information input by a user, analyzing demands by using a natural language processing technology, and extracting functional elements; performing classification processing on the functional elements through a clustering algorithm to generate a functional module group; mapping the function module group to a system architecture layer, and generating an architecture diagram represented by UML (Unified Modeling Language); and generating a corresponding source code according to the UML graph, and optimizing the source code. The optimization strategy comprises static analysis of format problems and potential vulnerabilities in identification codes and performance optimization of complex functions. Through combination of the large language model and the automatic code generation and optimization technology, the software development efficiency is improved, manual intervention is reduced, and the correctness and maintainability of the generated code are ensured.

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

The invention belongs to the technical field of deep learning, and discloses a drug and protein interaction prediction model construction method based on multi-modal fusion. Due to the lack of protein three-dimensional data, the three-dimensional data of the protein is subjected to high-accuracy complementation by using a prediction model AlphaFold 2, and for the modal fusion problem, the drug molecules are fused at the atomic level with finer granularity, so that the multi-modal fusion effect is further enhanced, and the multi-modal fusion effect is improved. Protein 1D data and protein 3D data are processed by using Cross-Attention, the processed protein 1D data and protein 3D data are subsequently fused by using Cross-Attention, multi-modal fusion is performed by using Cross-Attention, so that the interaction relationship between modals can be carefully captured, and in a word, the DTI task effect is improved by designing a multi-modal fusion mode.

The invention relates to the technical field of chemical engineering and machine learning, and provides a Fischer-Tropsch reactor strengthening method based on microsystem catalyst screening and kinetic research. The method comprises four main steps of catalyst screening, kinetic model establishment, reactor size optimization and performance verification. The method comprises the following steps: firstly, screening Fe9Cr3 as an optimal bimetallic catalyst through molecular dynamics simulation; then, establishing a kinetic model by utilizing an Arrhenius equation, and calculating a reaction rate constant and activation energy; secondly, optimizing the length-diameter ratio L / D of the reactor through macroscopic simulation and computational fluid dynamics (CFD) simulation; finally, the performance of the optimized reactor is verified through experiments, it is ensured that the activity and the synthesis rate of the catalyst reach expected targets, and CO2 emission reduction is achieved. According to the method, microscopic simulation and macroscopic simulation are combined, so that the overall efficiency and performance of F-T synthesis are improved, and meanwhile, the research and development cost is reduced, and the research and development time is shortened.

The invention discloses a general image evaluation method based on a hybrid expert model, which can be applied to various image evaluation scenes to automatically evaluate the quality or aesthetics of images. According to the method, a visual encoder and a text encoder are used for extracting visual and text features of an image respectively, and a quality or aesthetic score is calculated through an adapter. The visual encoder and the text encoder are integrated with a hybrid evaluation expert module, the hybrid evaluation expert module combines a shared evaluation expert and a self-adaptive evaluation expert, the shared evaluation expert is responsible for learning general evaluation knowledge, the self-adaptive evaluation expert dynamically learns specific data sets, expert contribution is adjusted through a router, and labeling deviation in multi-data-set training is effectively managed. Furthermore, a scene-based difference prompt strategy is implemented, the model adaptability is enhanced through a scene specific prompt word, the annotation deviation between data sets is reduced, and the evaluation accuracy is improved. The method not only improves generalization and adaptability of the model, but also optimizes parameter efficiency and training efficiency, and has a wide application prospect.

The invention provides a train operation scheduling method based on a train-ground integrated system. The train operation scheduling method can be applied to the technical field of railway vehicle operation and management. The train operation scheduling method comprises the following steps: acquiring state monitoring information of each component configured on a plurality of candidate trains, operation mileage information of each component, maintenance record information of each component, historical operation environment information of the plurality of candidate trains and monitoring information of a plurality of to-be-operated lines; based on the state monitoring information of each component, the running mileage information of each component, the maintenance record information of each component and the historical running environment information of each candidate train, generating health state information of each candidate train; generating state information of each to-be-operated line based on the monitoring information of each to-be-operated line; and based on the health state information of each candidate train and the state information of each to-be-operated line, generating an operation scheduling plan for each candidate train so as to schedule each candidate train to operate on each to-be-operated line.

The invention discloses a distributed artificial intelligence label training supporting method and system, and belongs to the technical field of artificial intelligence multi-task training scheduling, and the system comprises a user management module which is used for managing user authority and recording user operation; the data management module is used for uploading, storing, labeling and version control of the data; the task management module is used for managing hardware resources, creating training, quantifying a model, converting a model format, encrypting a model task and scheduling the task; the algorithm management module comprises an algorithm, a model storage, a docker mirror image server and a database table for recording algorithm information; the model publishing module is used for publishing a model and providing a model reasoning capability; and the front-end module is used for providing a user interaction interface. According to the method, the computing power resources of different GPU servers can be integrated, the steps of data labeling, training and deployment are opened, heterogeneous distributed training tasks are flexibly scheduled, the server resources are fully utilized, and the algorithm development difficulty is reduced.

The embodiment of the invention relates to the field of foundation pile reverse design, in particular to a foundation pile reverse design method and equipment based on multi-objective optimization and machine learning. One specific implementation mode of the method comprises the steps that a foundation pile actual measurement data set is collected; updating processing is conducted, and a foundation pile actual measurement updating data set is obtained; dividing the foundation pile actual measurement update data set to obtain a foundation pile actual measurement sample data set and a foundation pile actual measurement test data set; based on the foundation pile actual measurement sample data set and the foundation pile actual measurement test data set, constructing a machine learning model for predicting the bearing capacity of the foundation pile; generating an initial foundation pile design data set; based on a machine learning model for predicting the bearing capacity of the foundation pile, optimizing the initial foundation pile design data set to obtain target foundation pile design data; and sending the target foundation pile design data to a foundation pile construction control terminal to construct a foundation pile. According to the implementation mode, the foundation pile design efficiency and accuracy are improved.

The invention discloses a method, device and equipment for performing man-machine interaction with a desktop virtual image, a medium and a product. The method comprises the following steps: in response to a trigger request for a target client for realizing a desktop virtual image function, displaying a client interface with a full-transparent background of the target client in a set screen area of a computer desktop; loading a target Web page with the full-transparent background in the client interface with the full-transparent background; performing dynamic rendering display on the desktop virtual image in the full-transparent background target Web page; and performing man-machine interaction with a user through the desktop virtual image. According to the technical scheme provided by the embodiment of the invention, the desktop interaction effect of the virtual image can be realized only by using the drawing rendering function of the target Web page integrated in the target client without deep cooperation of codes of a computer operating system, so that the development difficulty of developers is effectively reduced, and the development efficiency is improved. And the development efficiency of the desktop virtual image function software is greatly improved.

The present invention relates to the field of network security technology, and in particular to a network security protection method based on big data. The method comprises the following steps: obtaining original network traffic data through a data pipeline tool; dividing the original network traffic data into time windows to obtain time window traffic data; performing clustering feature description analysis based on the time window traffic data to obtain a traffic clustering label model; generating a normal traffic baseline model based on the traffic clustering label model and the time window traffic data to obtain a normal traffic baseline model. The present invention can continuously improve the security protection capability of the defense system and build a more secure and reliable network environment by continuously evaluating the performance of the defense system, analyzing the root causes of problems, and optimizing and iterating the defense system; it solves the shortcomings of traditional methods when attackers use big data technology to attack, and improves the overall intelligence level of the defense system and its ability to resist big data attacks.

The invention provides a razor head with a 360-degree follow-up razor net and a shaver, the razor head with the 360-degree follow-up razor net comprises a combined razor net, the combined razor net is formed by connecting and assembling three or more razor nets, each razor net can float or tilt after being stressed, and the razor net on the inner side can float or tilt after being stressed along with the razor net on the adjacent outer side. According to the shaver, the shaver nets can float independently, can also float in a linkage mode, can flexibly rotate in all directions, can be tightly attached to the facial contours including the cheeks, the jaw, the neck and other parts, can easily adapt to different facial contours without moving the shaver body in a large range during shaving, and effectively improves the attaching degree and comfort degree of shaving.

The invention relates to the technical field of data processing, and provides a method, a device, equipment and a medium for migrating a service system to a low-code platform, on one hand, code analysis is performed on a target service system to obtain a syntax tree, and function identification is performed on the target service system to obtain a function call graph so as to obtain a minimum unit in the migration process; on one hand, migration risk detection is performed on a target business system according to a syntax tree and a function call graph to reduce the migration risk; on one hand, data mapping and conversion are carried out on the target service system to the low-code platform, service logic migration is carried out on the target service system to the low-code platform, the tedious manual coding process in traditional development is avoided through an automatic migration mode, and the development cost and time are reduced; on one hand, integration testing is performed on a new system to ensure normal operation of the migrated system; and on the other hand, the new system is optimized and expanded, so that the expandability and updatability of the system are improved while the compatibility is ensured.

The invention provides a page code generation method and device, electronic equipment and a storage medium, and the page code generation method comprises the steps: determining target component configuration information adaptive to different types of fields in a JSON configuration file of a CRUD page to be developed; performing code generation based on the configuration information of each target component and a preset EJS template, and determining a front-end React Type file code of the CRUD page to be developed; wherein the preset EJS template is an EJS template which is extracted from common codes of different CRUD pages in advance based on React project specifications. By using the method, the code generator can solve the technical problems that an existing low-code development platform does not have a unified standard and is high in learning cost, and existing old project code splitting and customization extension are limited, the development efficiency of an existing reaction front-end system is greatly improved, and project iteration online time is shortened.

The invention relates to the technical field of medical science, in particular to a framework model based on neural network learning and an application method of the framework model. According to the model, a graph convolutional network (GCN, Transform architecture and long short-term memory network (LSTM) are fused, a multi-level analysis process is constructed, the spatial structure and sequence dynamics of drug molecules are deeply explored, and the model comprises the following specific steps: model training: performing model training by adopting data sets collected by people such as Cui, Q.Cui2020Improved and the like; the model test selects three independent test sets to comprehensively evaluate the performance of the model; according to the data preprocessing, an RDKit library is used, SMILES character strings are converted into molecular objects, a feature tensor is constructed and used for storing core features of each molecule in detail, data splitting is carried out, and the data splitting adopts versions, such as Ahmad, divided by people based on a Cui2020 data set to carry out training and testing of a machine learning model.

The invention provides a query page generation method and device based on data configuration, equipment and a medium, and relates to the field of data processing. According to the method, by calling the initial query component, it is ensured that a unified starting point exists in the development process, so that the consistency and maintainability of codes are kept, and meanwhile the development time is saved. The target query component is generated by configuring the query page attribute of the initial query component, the query interface can be quickly customized and adjusted according to different query requirements, consistency and reusability between different query pages are ensured, and the workload of repeated development is reduced. The query page of the target data is generated by utilizing the target query component, so that a new query function can be quickly deployed, manual layout and coding do not need to be performed every time, repeated work is reduced, the code reuse rate is improved, the development process is simplified, and the development efficiency of the query page is improved.

The invention provides a shaver head with a modular combined floating knife net and a shaver, the shaver head with the modular combined floating knife net comprises the modular combined knife net, the modular combined knife net is formed by connecting and assembling a plurality of mesh modules and a plurality of functional modules, each mesh module and each functional module can float or tilt under stress, and the modular combined knife net is arranged on the modular combined knife net. The mesh modules or function modules on the inner side can float or tilt along with the adjacent mesh modules or function modules on the outer side after being stressed, and each mesh module is provided with a movable cutter set. According to the modular design, mesh modules with different thicknesses and different groove types are formed, and functional modules with different functions can also be combined, such as an antibacterial module, a heating module, a cleaning module, a skin detection module and an odor module. Combination is carried out according to requirements, the requirements of different customers are met, the product development frequency and time can be reduced, the production efficiency is improved, and the cost is reduced.

The invention discloses a financial service platform and method supporting dynamic product access and data backflow, belongs to the technical field of data transmission, and aims to solve the technical problem of how to quickly and flexibly access different financial institution products and realize efficient data backflow. Comprising a user interaction interface, a product access configuration module, a dynamic access engine, a data analysis module, a data backflow module, a security convergence module and a database, rapid access of financial institution products is achieved in a configuration mode, and the development time and cost are greatly reduced; the dynamic access engine can adapt to product interface changes of different financial institutions, and the flexibility and expandability of the system are improved; the data backflow module realizes efficient backflow of data, provides rich data support for a financial service platform, and facilitates data analysis and decision making.

The invention discloses a particle swarm optimization-based comprehensive energy management method for a tandem hybrid power vehicle. The method comprises the following steps of: calculating traction power and heat dissipation power of a cooling system as a vehicle demand power model; fuel consumption, electric energy consumption and battery loss are adopted as optimization objective functions of an optimization algorithm; according to the characteristics of the tandem hybrid vehicle, the particle swarm optimization is adopted to optimize and adjust the parameters. According to the method, the effectiveness of the optimization algorithm can be enhanced, the vehicle operation energy consumption economy is improved, the optimization result can be quickly obtained, and the development time is saved.

The invention provides a system and method based on web application development, the system comprises a development platform and an operation platform, the development platform provides rich UI components, interaction information and a built-in API of data processing logic, and codes are expanded and executed through a dynamic context management system; the operation platform compiles and executes the structured data generated by the development platform so as to perform web application operation; according to the method, UI layout and interactive logic design are carried out through a visual interface, and a page structure and logic are generated; data processing, interaction logic and event binding are realized by utilizing an API (Application Program Interface) built in the platform; a context management system is used for transmitting states, events and methods in three levels of global, page and component, and data flow management is simplified; converting a page and logic designed by a user into structured DSL (Digital Subscriber Line) data, including component layout, event processing logic and a data transmission mechanism; the DSL data is analyzed through the operation platform, executable front-end codes are generated, and rendering and interaction of the Web application are achieved.

The embodiment of the invention discloses a multi-modal analysis and diagnosis model based on combination of multi-source data fusion and a large model, and belongs to the technical field of large models, and the model comprises a scene model module which is used for calling different function modules according to different tasks and scenes; the industry large model module is used for establishing different industry large models according to different industry requirements; the task execution module is used for calling different task models and function applications according to different task requirements; the matching tool module is used for providing tools or engines according to task requirements; the data knowledge module is used for establishing various databases and storing different data in the corresponding databases in a classified mode, diversified and fragmented AI application requirements can be rapidly met, the development cost and time can be reduced, the development efficiency can be improved, information and value in the data can be fully mined, and the development efficiency can be improved. And the influence caused by insufficiency or inaccuracy of the annotated data can be avoided.

The invention belongs to the field of simulation training, and particularly relates to a multi-user collaborative power equipment maintenance simulation training system which comprises a virtual reality component, a posture recognition module, a virtual environment modeling module, a processing and feedback module and a multi-user collaborative module. A posture recognition module of the system adopts an OpenPose library to extract skeleton key points according to a user video and hand posture data. And the virtual environment modeling module is used for constructing a simulation training space and a user substitute by adopting a Unity3D plug-in and an OpenPoseUnity plug-in. And the processing and feedback module adopts a feature fusion Hausdorff distance to score the operation of the trainee and uses a maintenance operation identification rule base to automatically generate personalized guidance suggestions and overall guidance suggestions.

The invention discloses a marine ecological environment automatic monitoring data transmission method and a marine ecological environment automatic monitoring data transmission system, and relates to the technical field of marine ecological environment monitoring, and the marine ecological environment automatic monitoring data transmission method comprises the following steps: S1, receiving a transmission request, and constructing a transmission strategy according to the transmission request; s2, receiving automatic monitoring data according to a data uploading strategy in the transmission strategy; and S3, processing the automatic monitoring data according to a data transceiving strategy in the transmission strategy to obtain transmission data, and transmitting the transmission data. According to the method and the device, the transmission strategy can be quickly constructed, the automatic monitoring data of different monitoring items and / or different types of equipment can be ensured to meet respective transmission requirements, and resource waste caused by repeated compilation can be reduced.

The invention discloses an optical proximity effect correction method, a semiconductor structure and a preparation method, and the method comprises the steps: segmenting the edge of an initial mask pattern into a plurality of segments, and obtaining an initial cutting line corresponding to each segment; determining an initial edge placement error corresponding to the current position of the initial cutting line; adjusting the position of each segment according to the first initial edge placement error to obtain an intermediate mask pattern; and under the condition that a second edge placement error exists at the line end of the middle mask pattern, adjusting the position of the initial cutting line on the segment based on the cutting line movement ratio until the simulation wafer pattern is matched with the reference mask pattern, and obtaining a target mask pattern. According to the method, the cutting line is moved according to the cutting line movement ratio so as to gradually adjust the line end of the intermediate mask pattern, the edge placement error of the line end is reduced, the curvature and the inclusion degree of the line end are also improved, and the accuracy and the quality of the corrected target mask pattern are improved.

The invention discloses a simulation rail transit real vehicle hose installation and fatigue verification device, which comprises a power distribution control cabinet and a test sample installation rack device, the test sample installation rack device comprises a vertical rack and a horizontal rack, the vertical rack is vertically installed on the horizontal rack and can move back and forth, and the horizontal rack is installed on the vertical rack and can move back and forth. The vertical rack is provided with an up-and-down movable bedplate, the up-and-down movable bedplate is provided with a movable end capable of moving left and right, the front end of the horizontal rack is provided with a base point fixing end, the movable end and the base point fixing end are respectively used for fixing an experiment sample piece, and the experiment sample piece is connected with an air source in a power distribution control cabinet through a compressed air pipeline. Through verification, the length of the hose assembly with reasonable rail transit real vehicle hose layout can be optimized, and the situation that the use function of the hose assembly is affected by hose fatigue damage caused by relative reciprocating displacement of the two ends of the hose in real vehicle operation is simulated.

The invention provides an equipment function configuration method, and a function menu rendering method and equipment. The method comprises the following steps: acquiring an equipment function configuration task; pulling and displaying an original configuration file based on a browser installed on the configuration equipment, wherein the original configuration file comprises a plurality of functional components; adjusting a functional component in the original configuration file according to the configuration requirement, and determining the adjusted original configuration file as a target configuration file; and pulling the code file, adding the target configuration file and the code file to a built-in resource bundle, and deploying the built-in resource bundle to a target device corresponding to the target machine type. According to the method and the device, when a new type demand proposed by a user or a market is faced, the configuration of the device function can be completed only by adjusting the functional component in the original configuration file according to the configuration demand of the new type, the development time of the device function is shortened, meanwhile, research and development personnel do not need to newly build a code branch for the new type, the development difficulty is reduced, and the development efficiency is improved. And the function configuration efficiency of the new type of equipment is improved.

This invention provides a self-limiting conveying device for processing automotive flywheels, comprising a base plate, a wheel, a push block, a positioning block, a positioning mechanism, an output component, and an input component. The operator places the flywheel to be processed on the input component. Driven by a belt, the flywheel enters the channel. The operator rotates the rocker counterclockwise, causing the wheel to rotate, which in turn causes the push block to propel the flywheel forward to the processing station and then back. During the return process, the positioning block swings and positions the flywheel at the processing station. At this point, the flywheel is in a fixed state, and the processing equipment begins operation. After processing is completed, the operator continues to rotate the rocker, causing the positioning block to retract, and the flywheel to be in a free state. The push block then propels newly arrived unprocessed flywheels forward and pushes out the processed flywheel. The pushed-out flywheel enters the output component and is transported to the next station. This device solves the problem of low work efficiency in traditional flywheel processing where the operator must both move and position the flywheel.

A computer-implemented tool intended to be controlled by a user for assisting the development of cosmetic product colors, the tool comprising: a mapping mode adapted for the user to select a set of cosmetic product colors from a library of cosmetic product colors, the drawing mode is configured to classify each of the selected set of colors using a method of classifying the colors of the makeup product according to labels designed to subjectively perceive the makeup colors. The drawing mode is configured to display a graph of selected colors arranged in a table according to the respectively assigned labels, the table being composed in a main row representing each color system label and a main column representing each hue sub-system label, each main row including a sub-row representing each luminance sub-system label, each sub-row including a sub-row representing each luminance sub-system label, and each sub-column including a sub-row representing each luminance sub-system label. Each primary column includes a sub-column representing each chroma sub-system tag.

The present disclosure provides a method for measuring DC bias aging characteristics of a multilayer capacitor, the method comprising: applying a first polarization voltage to the multilayer capacitor, the multilayer capacitor comprising a body and an external electrode, a body having a dielectric layer including a plurality of dielectric grains and internal electrodes disposed alternately with the dielectric layer in a first direction, the external electrodes disposed on the body; maintaining the first polarization voltage for a first time period (t1); applying a DC bias voltage lower than the first polarization voltage; maintaining the DC bias voltage for a second time period (t2); and measuring a saturation capacitance after the DC bias voltage is applied.

The present application discloses a training method, device, equipment and storage medium for a cheating text recognition model, and relates to the field of computer technology, and specifically to artificial intelligence fields such as natural language processing technology and deep learning. The specific implementation scheme is: obtain new corpus; obtain a first training corpus from the new corpus; generate a second training corpus based on the historical corpus and the first training corpus; determine the target version model from the historical version of the cheating text recognition model; perform incremental training on the target version model based on incremental learning according to the second training corpus, and use the model obtained after incremental training as the latest version of the cheating text recognition model. The present application does not need to completely retrain the model, which reduces the model development time, and also enables the model to respond to rapidly changing online cheating content in a timely manner, as well as improve the accuracy of the cheating text recognition model.

The application provides a suspension system bounce checking method, device and equipment, and belongs to the technical field of vehicle detection, wherein the suspension system comprises a shaft rod of a driving shaft and a sliding joint arranged at both ends of the shaft rod, the method comprises the following steps: obtaining simulation simulation data of the suspension system in a plurality of driving scenes in a sliding joint displacement simulation form, the simulation simulation data comprises a plurality of displacement distances of the sliding joint and a swing angle corresponding to each displacement distance; verifying whether the plurality of displacement distances and the corresponding swing angles meet a checking standard corresponding to the sliding joint displacement simulation form; wherein the sliding joint displacement simulation form comprises a displacement simulation form of displacement of the sliding joint at at least one end of the shaft rod. The suspension system bounce checking method provided by the application can check and detect the risk of disengagement and top dead center of the sliding joints at both ends of the double-sliding universal joint type driving shaft, and facilitates efficient and rapid completion of the checking operation.