501 results about "Configuration generation" patented technology

The invention discloses a low-code platform based on a component library and a form engine, and relates to the field of data processing. The platform comprises a design system, an application system and a service system. The design system is provided with a form designer and a template manager, the form designer can configure a form component to generate a description file, and the template manager supports separate storage of a page template; the application system comprises a form analysis engine, a UI rendering engine and a reusable resource management component, the analysis engine analyzes configuration generation logic, the rendering engine loads a resource rendering page, and the reusable resource management component stores resources and generates configuration; the service system comprises a metadata analysis engine and an SQL assembler, the metadata analysis engine analyzes business rules to generate SQL and filtering strategies, and the SQL assembler generates operation statements adaptive to multiple data sources. Through the modular architecture design and the dynamic analysis mechanism, the problem that a low-code platform is insufficient in flexibility and usability is solved.

The invention relates to the technical field of artificial intelligence, can be applied to business scenes of financial science and technology, medical health and the like, and discloses an enhanced decision method, device, equipment and medium based on thinking chain annotation, which comprises the following steps: extracting core information features to generate a structured data set, loading a basic language model and executing supervision fine tuning to generate a fine-tuned model, fusing multi-modal input to generate fusion features, constructing a state observation space to receive the fusion features as input, generating reward signals based on a double reward mechanism and optimizing model parameters to generate an optimized model, deploying a monitoring module to dynamically adjust parameter configuration to generate an adaptive decision model, and outputting a decision response result. According to the method, multi-source data extraction, structured expression, multi-modal fusion, reinforcement learning optimization and dynamic adaptive mechanism fusion are carried out, so that the understanding ability of the model to complex data, reasoning transparency and the adaptive ability of the model to coping with environmental changes are remarkably improved.

The present application provides a shopping guide method and system based on a large language model, and the method is applied to the technical field of artificial intelligence. The method comprises: acquiring a training shopping guide requirement and a carried content enhancement configuration (S201); on the basis of the content enhancement configuration, generating a training prompt describing the training shopping guide requirement (S202); using a large language model to be trained to perform semantic analysis on the training prompt so as to determine a plurality of application interfaces required for responding to the training shopping guide requirement (S203); on the basis of a preset database, performing screening and summarization processing on returned results of the plurality of application interfaces to obtain predicted shopping guide information (S204); on the basis of the predicted shopping guide information and the training shopping guide requirement, performing parameter adjustment on the large language model to obtain a trained large language model (S205); and, when shopping guiding is conducted, on the basis of a prompt corresponding to a shopping guide requirement inputted by a user end, guiding the trained large language model to generate and output target shopping guide information. According to the method, target shopping guide information that is more in line with a user's natural language can be provided for the user end.

The invention relates to the technical field of network management, and discloses an intent-driven network management method and system based on a large language model (LLM). The method comprises the following steps: receiving a natural language intention of a network administrator, analyzing the intention by utilizing a pre-trained large language model, extracting a key target and constraint, generating a configuration scheme of a TCP / IP or QUIC protocol based on an analysis result and a network protocol knowledge base, and ensuring the effectiveness and safety of configuration through a network constraint verification module. And the configuration passing the verification is applied to the network system. The system comprises an intention input module, an LLM analysis module, a configuration generation module, a verification module, an application module and the like. According to the invention, through conversion from automation intention to configuration, the network management process is simplified, the management efficiency and flexibility are improved, the method is especially suitable for multi-parameter optimization scenes of protocols such as TCP / IP and QUIC, and intelligent network management is realized.

Approaches presented herein provide systems and methods for generating a standardized specification and associated interface for application development. One or more microservices may be selected and graphically represented within an interface that receives connection information from one or more users. Connected microservices may have one or more configuration specifications that are auto-populated based, at least, on operation parameters for an associated application and / or related microservices. A development environment may provide for visual representations of connections between microservices along with configuration parameters and validation services. Deployment information may then be generated based on the configuration in the representations.

The invention relates to the field of network simulation, in particular to a lossless Ethernet simulation model and a data processing method. The lossless Ethernet simulation model comprises a switch simulation model, a terminal simulation model and a network system simulation model; the switch simulation model has a switch modeling function, a lossless Ethernet flow control function, a fault injection function, a configuration loading function and a simulation result statistics function; the terminal simulation model has a terminal system modeling function, an RDMA modeling function, a flow control function, a configuration loading function and a simulation result statistics function; the network system simulation model has the functions of simulation information import, simulation model input configuration generation, VLAN management, network topology generation, network management, fault injection, simulation report management and simulation result analysis.

Techniques for simulating multi-agent interactions within a virtual world in response to generated hypotheses using dynamically retrieved external data are disclosed herein. A computing system can receive instructions including a user input with a seed phrase and provide the user input to a configuration generation model to generate agent traits associated with agents in a virtual world and / or data-source identifiers associated with external data sources. The system can retrieve external data from the external data sources and provide the agent traits and external data to a hypothesis generation model to generate a hypothesis that includes a constraint associated with the external data. The system can instantiate agents that have the agent traits and execute a simulation session consistent with the constraint (e.g., by causing the agents to generate an output set using the hypothesis and question). The system can generate a representation of the output set for analysis.

The invention discloses an internal and external network security service passing method and system based on edge computing, and belongs to the technical field of network security, and the method comprises the steps: obtaining multi-dimensional attribute information of an edge node, generating a security policy basic data set, generating a traffic feature fingerprint and a self-adaptive environment adaptive fingerprint, and calculating a fusion matching degree; edge security entity nodes are generated in combination with service scene adaptive threshold clustering, and then a security policy meta-model with a security policy blueprint as a core is constructed; analyzing the security policy meta-model through a multi-modal semantic analysis engine, generating a dynamic security enhancement model, and mapping the dynamic security enhancement model to a hierarchical security control model; based on the hierarchical model, outputting edge node internal and external network safety passage configuration and a corresponding safety passage ledger through a scenarized configuration generation algorithm; according to the method, adaptive generation, dynamic optimization and accurate execution of the security policy are realized, and the security, the automation level and the operation and maintenance efficiency of internal and external network passing in the edge computing environment are effectively improved.

Systems and methods are described for recommending a proposed hardware configuration to a first user in response to determining that a performance aspect of the first user having a first hardware configuration playing a multiplayer game is worse than a performance aspect of a second user having a second hardware configuration jointly playing the multiplayer game. The proposed hardware configuration is generated based on the first hardware configuration and the second hardware configuration and caused to be displayed on a device of the first user.

A computerized method generates a structure configuration from a codebase and generates application code using the structure configuration. Code examples of the codebase are obtained, and a structure configuration is generated using the obtained code examples and a standard configuration dataset. The structure configuration includes code components specific to the codebase. Labels that are indicative of component attributes are assigned to the code components of the structure configuration. A code generation request is received, and the request is converted into a plurality of feature prompts. At least one code component is mapped to each feature prompt based on semantic similarity of the feature prompt to a label of the mapped code component. Application code is generated using the mapped code components. The generated application code is deployed for execution. This method enables the automatic generation of code that conforms to common patterns and accurately exhibits the features requested.

The invention discloses a method and device for generating mass database table test data based on configuration, and the method comprises the steps: obtaining table building information, extracting table metadata from the table building information, and carrying out the standardization processing of the table metadata, and obtaining the standardized table metadata; obtaining a data generation template based on the standardized table metadata; modifying the data generation template according to a target demand to generate a target data generation template; extracting global variable information from a global configuration node of the target data generation template; analyzing a data generation rule corresponding to each field based on the global variable information, and generating test data based on the field generation rule; and based on the test data, generating an insertion statement, and writing the insertion statement into a preset file to obtain a final test data file. According to the embodiment of the invention, full-process automation from table metadata extraction to test data files can be realized, real association of data is guaranteed, and test effectiveness is improved.

The invention discloses an implementation method and device for cloud rendering of a voice interaction digital human, computer equipment and a readable storage medium, and the method comprises the steps: firstly constructing the voice interaction digital human, carrying out the audio lip movement synchronization and personification configuration, and then carrying out the real-time cloud rendering, and placing the voice interaction digital human in a front-end page. After front-end voice interaction input of a user is obtained, interaction feedback of a digital human is generated through previous configuration, and then the feedback is cloud-rendered to a front-end page in real time. According to the method, the requirements of various industries for high-quality voice interaction digital people are met, meanwhile, the requirements of user equipment are reduced by means of the cloud rendering technology, and the user experience is improved.

The invention discloses a method and a system for automatically generating a business APP of a fusion terminal, which are applied to the technical field of smart power grids, and the method comprises the following steps: accessing an external storage device to a target fusion terminal; the management APP of the target fusion terminal obtains basic information of a service APP needing to be generated, and sends the basic information to the packaging APP and the guarding APP; the packaging APP selects a corresponding adaptive template from a template library according to the adaptive data, and performs parameter configuration on the selected adaptive template to form a service APP needing to be generated; the management APP is locally deployed and operated in the target fusion terminal; and the guarding APP maintains the running service APP according to the configuration data. According to the method, code development is not needed, and the service APP is automatically configured and generated; meanwhile, automatic operation and maintenance of the generated service APPs are achieved, the service APPs which are not needed temporarily are directly deleted from the fusion terminal, and storage resources of the fusion terminal are effectively saved.

The invention provides a BIM-combined construction process digital management method and system, and the method comprises the steps: firstly collecting a real-time three-dimensional model data set of a construction site, including geometric attributes and spatial topology association information of construction components, then analyzing the logic execution relation between different construction components, generating a progress scheduling rule set, and carrying out the construction process digital management. The actual construction progress data is dynamically matched with the set to obtain a construction process anomaly detection strategy and a resource allocation optimization strategy, then component parameter configuration of the real-time three-dimensional model data set is adjusted according to the anomaly detection strategy, updated three-dimensional model verification data is generated, and the updated three-dimensional model verification data is stored in a database. And finally, a construction progress adjustment instruction is generated according to the resource allocation optimization strategy and the updated three-dimensional model verification data, and is synchronized to the construction management terminal, so that digital and intelligent management of the construction process is realized, and the construction efficiency and the project management level are effectively improved.

Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and method for providing template rooms within a virtual conferencing system. The program and method provide for providing an interface to configure a template room for virtual conferencing; receiving, via the interface, an indication of user input specifying a configuration for the template room; accessing a data file comprising values for generating plural rooms based on the configuration for the template room; and providing, based on the configuration for the template room and on the data file, for virtual conferencing between plural participants across the plural rooms.

The invention provides a simulation deduction method and system based on distributed parallel scheduling and a storage medium, and is applied to the technical field of data processing.The method comprises the steps that proxy services are deployed at a plurality of preset computing nodes, resource state information of all the nodes is dynamically collected, and a computing resource pool is obtained; arranging a pre-registered plug-in based on the data dependency relationship to obtain a simulation task process; in response to simulation scene configuration submitted by a user, generating a distributed scheduling task containing a fragmentation strategy; determining a plurality of sub-tasks corresponding to the distributed scheduling task based on the simulation task process; and based on the real-time load of the computing resource pool and the task priorities of the plurality of sub-tasks, respectively distributing the plurality of sub-tasks to a plurality of target computing nodes for task execution, and obtaining task execution result information. According to the method and the device, the time delay performance of distributed scheduling and the high availability performance of scheduling simulation tasks can be improved.

The invention relates to a source network load storage capacity planning method and system based on a multi-agent game, and the method comprises the steps: constructing a multi-agent game behavior data set, analyzing the dynamic interaction of a strategy through employing a game theory model, and obtaining the strategy preference and interaction mode of each agent; constructing a source network load storage collaborative planning model, and determining an initial capacity configuration scheme of each main body; extracting a benefit distribution proportion of each main body from the initial capacity configuration scheme, and adjusting capacity configuration by adopting a multi-objective optimization algorithm to obtain an optimized capacity planning scheme; analyzing the influence of peak demand fluctuation and transmission capacity limitation on the scheme by adopting a Monte Carlo simulation method to obtain a dynamic adaptability index of the scheme; and adjusting game theory model parameters to obtain updated strategy preferences and interaction modes, adjusting capacity configuration through iterative calculation, and generating a new capacity planning scheme. Compared with the prior art, the method has the advantages of comprehensively considering multi-main-body strategy dynamic interaction, improving the feasibility of the planning scheme and the like.

The invention provides a method for realizing development of an app embedded webpage through a virtual gateway, which comprises the following steps: in a development environment, generating a virtual HTTPS certificate through Nginx configuration; after the virtual certificate is generated, updating a configuration file of the Nginx; a preset certificate verification rule is added in the Nginx configuration to ensure reasonable use of the virtual certificate; and HTTPS access is carried out through the configured Nginx proxy. The method for realizing the development of the app embedded webpage through the virtual gateway has the beneficial effects that the process of manually applying for a certificate from a certificate authority (CA) is avoided by generating the virtual certificate through an automatic tool, and the management of the HTTPS certificate in the development stage is simplified, so that the local development environment can seamlessly simulate the HTTPS communication in the production environment.

The invention provides a multivariate data-based printing machine top project approval design method, which relates to the technical field of printing equipment, and comprises the following steps of: acquiring printing machine operation data comprising printing quality parameters, equipment working condition parameters and environment parameters; performing feature analysis and parameter extraction through an adaptive fuzzy clustering algorithm, dynamically adjusting a sample classification membership degree, identifying a key parameter combination influencing the printing quality, and constructing a correlation matrix; constructing a dynamic Bayesian probability network model based on a parameter mapping relation, constructing a core network structure through an information entropy value and information gain, and establishing probability association between a printing quality parameter and an equipment working condition parameter; and determining the optimal parameter configuration of the function modules of the printing machine by utilizing a bidirectional constraint dynamic programming algorithm and combining the coupling weight and the state transition equation among the function modules, and generating a top design scheme.

Systems and methods for ranking access configurations for requested resources. In some aspects, a system receives a resource access request from a user. The system obtains a resource access history for the user. The system generates access configurations available to the user. The system generates a plurality of probabilities using a machine learning model. The system, based on comparing probabilities with a threshold probability, determines a subset of access configurations. The system generates an access benefit metric for each access configuration. The system generates a representation of access configurations according to access benefit metrics.

A method of grasp generation for a robot includes searching within a configuration space of a robot hand model for robot hand configurations to engage an object model with a grasp type. The method includes generating a set of candidate grasps based on the robot hand configurations. Grasping of the object model with the robot hand model is simulated in a physics engine using simulated grasps generated based on a given candidate grasp. A simulated grasp is assigned a score based on a response of the object model to an applied wrench disturbance when the object is engaged with the simulated grasp. The method includes generating a set of feasible grasps for the given candidate grasp based on the respective simulated grasps having a score above a score threshold at a target wrench disturbance.

Described are systems and methods for providing AI and ML-assisted workflows, and more specifically, to improved systems and methods for creating user interfaces for software applications that interact with AI models. A computer-implemented system and method for generating an AI-assisted user interface comprises providing, at a memory, a page element database comprising a plurality of page element configurations; receiving, at a network device, a page generation request from a user at a user device; generating, at a processor in communication with the memory and the network device, an AI-assisted user interface comprising a plurality of page elements, each of the plurality of page elements generated based on a corresponding page element configuration in the plurality of page element configurations; outputting, at a display device in communication with the processor, the AI-assisted user interface; and wherein the plurality of page element configurations comprises at least one AI-based page element configuration.

The present application relates to the technical field of workflow management, and discloses a cross-system digital workflow integration system, and a workflow management method and system. The method comprises: acquiring a customized workflow configuration table, and analyzing the customized workflow configuration table to determine logic control information; and on the basis of logic control information, performing management configuration on a default cyclic approval workflow template to generate a digital workflow. The present application can effectively improve the approval efficiency and reduce the error rate, so that the approval requirements of different service scenarios are met.

The invention belongs to the technical field of data processing, and particularly discloses a computer vision model service scenarized configuration generation method, which comprises the following steps: constructing a basic information database comprising a plurality of computer vision models, the database being used for storing model identification information and feature parameters; extracting structured features of the scene according to a scene analysis engine, wherein the structured features are used for describing operation conditions of the scene; calculating a model matching score according to the structured features and the feature parameters, and obtaining a recommendation model through a multi-condition weight matching function; executing a model selection strategy based on the matching score, and obtaining a model matched with the scene; and generating a configuration file conforming to a predetermined specification according to the recommendation model. The objective of the invention is to solve the problems of low efficiency and error proneness caused by the fact that a computer vision model in the prior art depends on a manual selection model and cannot quickly select and adapt to an optimal model in diversified scenes.

The embodiment of the invention provides a code generation method and device.The code generation method comprises the steps that in the code generation process, code requirement information and configuration generation cue words are input into a large language model, code configuration generation is conducted through the large language model, and code configuration is obtained; and inputting the code configuration into a code generation program for code generation to obtain an initial code, and further inputting the initial code, an example code and a code modification prompt word into a large language model for code modification to obtain a target code, so that high-quality code generation is performed through the cooperation of the code large model and the code generation program.

The invention relates to an automatic equipment control system based on an edge computing gateway and the edge computing gateway, and belongs to the technical field of Internet of Things communication. The equipment automatic control system comprises a configuration interface, a configuration generation module, a communication management module used for collecting input data of equipment automatic control logic accessed to the gateway, and a control module. The configuration interface is used for displaying a preset device data input end, a preset device data output end, identifiers of the preset device data input end and the preset device data output end, and configuration parameters of primitive templates corresponding to the management instructions and the logic instructions; the configuration generation module is used for reading the primitive template selected through the configuration interface and the value of the configuration parameter of the primitive template to obtain a corresponding control instruction so as to generate a configuration file corresponding to the automatic control logic process; and the control module is used for analyzing the configuration file and issuing a running operation instruction to corresponding equipment through the communication management module. The edge computing gateway of the automatic equipment control system based on the edge computing gateway can realize data sampling and control with equipment with various communication interfaces.

The invention relates to the technical field of data real-time stream processing, in particular to a method and system for achieving FlinkSql statement configuration through a user-defined ETL process, and the method comprises the following steps: operation of a job development page, graphical configuration of the ETL process, column configuration and FlinkSql basic configuration items, functions, where conditions, join and output configuration, and generation, preview and storage of FlinkSql statements. The method and system for realizing FlinkSql statement configuration through the user-defined ETL process have the beneficial effects that the use threshold is reduced through visual operation through the user-defined ETL process nodes; different tables of a plurality of data sources can be associated by using join nodes, so that the data availability is expanded; the data can be cleaned by using the function configuration node, the data standard is standardized, and dirty data is removed.

According to the data import configuration method and device, the storage medium and the computer equipment provided by the invention, when the data configuration is imported, the source data file is uploaded firstly, the target table configuration corresponding to the file is determined, and the import rule configuration is generated based on the template configuration and the target table configuration, so that automatic configuration of the file data import rule can be realized; because the import rule configuration comprises the corresponding relationship between the template column name and the plurality of field names, the field reading can be performed on the source data file according to the import rule configuration, and the data is imported according to the reading result to generate the temporary table; and finally, after a verification function of each column of data in the temporary table is determined based on the import rule configuration, data verification is carried out on the temporary table, so that the column data passing verification is migrated into the target table, and the verification function can visualize business internal logic into a rule and then build the rule in the import rule configuration. Automatic verification of the data in the temporary table is achieved, and the development efficiency of the data import function is further improved.

The invention relates to an LLM-based comprehensive modular avionics system resource allocation method and system, and the method comprises the steps: removing a universal semantic module through model pruning, taking an IMA configuration description material as a training corpus, forming a lightweight IMA exclusive large language model which is finely adjusted by the training corpus, collecting a user natural language, analyzing a configuration interaction instruction of the user, and carrying out the resource allocation of the user. And then the configuration interpretation model / configuration generation model is called to execute interpretation and change tasks, so that natural language interaction of resource configuration of the integrated modular avionics system is realized on the basis of ensuring functional integrity, and the change cost of resource configuration is obviously reduced. Compared with the prior art, the method has the advantages that the lightweight LLM is trained and deployed in combination with avionics field knowledge, efficient deployment of the model is realized, and the accuracy of semantic understanding of the model in professional scenes in the avionics field is enhanced.