313 results about "Hard coding" patented technology

The invention provides an intelligent data labeling method and system based on multi-modal fusion and large model verification, belongs to the field of artificial intelligence and data processing, and innovatively fuses multi-modal information such as an OCR recognition result, a layout structure, original image visual features and deep semantic analysis of a large language model (LLM). And a precise automatic labeling result credibility evaluation mechanism is constructed. According to the method, various errors in automatic labeling can be accurately recognized and adaptively corrected, and the errors comprise conventional error correction based on hard coding rules and complex semantic error correction driven by LLM. Meanwhile, the system can continuously optimize the data labeling capability of the system through an efficient man-machine cooperation and closed-loop feedback learning mechanism, and automatically precipitate domain knowledge assets. The invention aims to solve the problems of recognition accuracy bottleneck, heavy manual proofreading burden, lack of intelligent judgment and error correction, knowledge accumulation lag and the like in traditional document data labeling, so that the efficiency, accuracy and automation level of document data labeling are remarkably improved.

The invention relates to a role face pinching method based on an AI model, and the method comprises the steps: obtaining a face base image and reference data, and analyzing the reference data to obtain role gender and role feature data; a face pinching reasoning module corresponding to the role gender is obtained, a virtual image code is generated based on the face pinching reasoning module and the role feature data, and the face pinching reasoning module comprises a combination rule of various face features; and redrawing the face substrate image according to the virtual image code to obtain a role face image, and rendering the role face image based on a differentiable rendering method. Through the face pinching method and device, the problem that the efficiency of a 2D role face pinching method is low is solved, the face pinching reasoning module dynamically calls rules to generate virtual image codes, logic judgment of hard codes is not needed, and the face pinching efficiency is improved.

The invention discloses a network hostile attack monitoring method and system based on a deep neural model, and the method comprises the steps: receiving an unknown program code, and carrying out the feature matching of the unknown program code; if the known malicious program code features are matched, marking unknown program codes as high-risk program codes, and inputting the high-risk program codes into the first neural network model to obtain deep features; cyclically executing the high-risk program code to obtain a seed value of a hard code and a malicious behavior mode; if the malicious behavior mode is a DGA mode, determining a DGA domain name list according to the seed value; inputting the domain name list into a hybrid model to obtain local semantic information; mapping the deep feature, the malicious behavior pattern, the DGA domain name and the local semantic information into a network security knowledge graph to obtain an event graph; analyzing the event graph, determining a potential attack chain and a threat level, updating a circulation step and a graph reasoning step, dynamically loading to an execution unit, and displaying the potential attack chain and the threat level.

The invention discloses a hypergraph feature representation method, system and device based on fuzzy logic and a medium, and the method comprises the steps: obtaining original data, and constructing a hypergraph structure containing vertexes and hyperedges according to the original data; the hypergraph structure is initialized, and an initialized hypergraph structure is obtained; and inputting the initialized hypergraph structure into a preset hypergraph convolutional fuzzy network model for feature representation processing to obtain a hypergraph structure after feature representation processing. According to the hypergraph convolutional fuzzy network model, fuzzy representation and the hypergraph technology are deeply fused, the membership core concept of fuzzy logic is introduced, the hard coding association limitation of an existing hypergraph representation learning method that no black is white is broken through, the technical problems that a traditional hypergraph model cannot capture association gradients and fuzzy semantics are lost are effectively solved, and the learning efficiency is improved. Therefore, the flexibility and accuracy of the model are effectively improved, and stable prediction is provided in an uncertain data environment.

The invention discloses a configurable system for externally providing multi-source interface data, which comprises a flow arrangement engine, a data processing engine and a data processing engine, and is characterized in that the flow arrangement engine comprises a visual node arrangement interface, a dynamic input parameter module and a flow variable pool; through version isolation, new version configuration is automatically generated when a user modifies a process, an old version continuously processes a stock request until the stock request is completed, and a new request is automatically routed to the new version, so that service switching is non-aware, and the risk of service interruption caused by server stopping and restarting in a traditional scheme is eliminated; free combination of heterogeneous data source nodes through a graphical interface and dynamic adjustment of an execution sequence are supported, the solidification problem of a traditional hard coding process is solved, a process variable pool temporarily stores an intermediate result of each node for a subsequent node to reference through a preset format, the limitation that a multi-step result cannot be reused in a traditional scheme is solved, and flexible series connection of heterogeneous data sources is achieved; each configuration version has an independent process variable pool, an intermediate variable generated by an old version only serves a self task, a variable pool of a new version is completely isolated, data cross contamination during parallel of multiple versions is avoided, and result consistency is ensured.

Methods and systems for managing service deployment are disclosed. To deploy services, dependencies and other characteristics (such as context data, capability data, placement rules, and workflow data) of services and the infrastructure boundaries in which the services are running may be dynamically collected, analyzed and updated. By dynamically analyzing dependencies and other characteristics (such as context data, capability data, placement rules, and workflow data) of services and the infrastructure boundaries, efficiency of use of computing resources may be improved by recycling existing workflow; statically defined operations and hard-coded conditional logic of services may also be avoided each time an environment in which the services are running has changed.

The invention relates to a method, a device, equipment and a medium for dynamically configuring a window control and layout, and the method comprises the following steps: firstly, obtaining and analyzing an XML configuration file to generate a data model tree of a structured window interface in a memory; then, objects are dynamically created based on a Qt reflection mechanism, attributes and signal slots are set, Qt reflection characteristics are fully utilized, object creation and attribute processing are flexible and efficient, hard coding interface elements in the compiling stage are not needed, needed controls and layouts can be dynamically generated according to a data model tree, and the dynamic nature and expandability of interface configuration are greatly enhanced; establishing a set membership tree between the controls and the layouts in the recursive traversal process to obtain a complete interface tree; and finally, performing layout calculation and rendering to generate a display interface, so that automation of interface layout is realized, interface element layout can be automatically adjusted according to a data model tree structure, and efficient dynamic configuration of window controls and layout is realized.

The invention discloses an EDA design rule checking method and system based on a decision tree algorithm. According to the method, geometric, topological and other features in design layout are extracted, a decision tree model is trained based on the features, and rule violation terms in design are automatically identified and judged. Compared with a traditional DRC method based on a hard coding rule, automation and intellectualization of the checking process are achieved through the machine learning technology, and the method can adapt to complex rule sets and large-scale layout design. According to the method, the inspection speed is increased, meanwhile, high accuracy is kept, the requirement for manual intervention is reduced, the design period is remarkably shortened, and the method has wide industrial application value and market prospects.

The invention relates to the technical field of stage equipment intelligent control, provides a stage equipment linkage control method and system based on time sequence arrangement and protocol adaptation, and aims to solve the problem of poor stage control dynamic adaptability caused by hard coding binding of art time sequence logic and an equipment protocol in traditional stage control. The method comprises the following steps: constructing an artistic effect causal graph based on an artistic effect sequence, and deconstructing the artistic effect causal graph into a physical executable constraint set; calculating the capability confidence coefficient of the stage equipment in real time, performing dynamic Bayesian network deduction by taking the physical executable constraint set as an observation target and the capability confidence coefficient as a conditional probability, generating a layered executable plan set, and selecting an execution base plan from the layered executable plan set; the execution base plan is compiled into a target equipment protocol instruction, and the target equipment protocol instruction is distributed and executed through a corresponding protocol adapter, so that the stage control adaptive robustness and the art presentation guarantee capability under stage equipment heterogeneity and state dynamic change are remarkably improved.

The invention discloses a zero-configuration knowledge graph construction method, equipment and a medium, belongs to the technical field of knowledge graphs, and aims to solve the technical problem of how to overcome the hard coding defect in traditional knowledge graph construction, realize a more flexible construction mode with lower difficulty in use, further realize data source entity association and semantic fusion and improve the knowledge graph construction efficiency. According to the technical scheme, field name semantic analysis and data content analysis are conducted through a dynamic semantic analysis algorithm, and intelligent database deep analysis is achieved; the same entities in the multiple tables are automatically recognized and merged through a cross-table entity intelligent merging algorithm, and multi-table collaborative intelligent search is achieved; constructing an intelligent knowledge graph: automatically selecting an optimal construction strategy through a multi-strategy relation construction engine according to keyword role features, and independently constructing a local knowledge graph for each data table; and optimizing and intelligently exporting the knowledge graph.

The invention discloses a graphical interface automatic control code generation method based on a large model agent, which comprises the following steps of: firstly, generating a task execution track through interaction between a ReAct agent based on a large language model and a graphical interface environment, and translating a hard coding action in the track into a soft coding action based on a semantic positioning page element; constructing a track library of a tree structure; then, on the basis of information in the trajectory library, a retrieval enhancement mechanism is adopted to generate an RPA function capable of being independently executed, and the RPA function is synthesized on the basis of soft coding actions and is automatically injected into robustness control logic; then executing the RPA function, if execution fails, triggering breakpoint analysis, and optimizing the RPA function through a mixed trajectory; and finally, testing the generated RPA function, and selecting to execute the RPA code or back to the ReAct agent for execution according to a verification result. According to the method, an automatic generation process from an intelligent agent interaction track to a robust and reusable RPA function is realized.

The invention discloses a confidential evaluation compliance document automatic generation system and method based on strategic data management and control and full-link verification, and aims at solving the problems that traditional confidential evaluation document generation is low in efficiency, insufficient in safety protection, poor in expansibility and the like. According to the method, hard coding logic is replaced by a strategy engine center, a scene-template-strategy association mechanism is constructed, and full-process automatic generation of secret evaluation documents is achieved through scene configuration, intelligent template matching, parameter analysis, multi-dimensional data cleaning and desensitization, national secret standard automatic signing and full-process log management and control. The generation efficiency is remarkably improved, a sensitive data'identification-processing-protection 'safety closed loop is formed, the tamper-proof and auditing requirements of secret evaluation are met, a newly-added scene can be quickly accessed through strategy configuration, and the expansibility and reusability are excellent.

The invention belongs to the technical field of smart agriculture, and relates to a smart agriculture environment data real-time analysis method based on Internet of Things, which comprises the following steps: acquiring soil parameters of a first detection layer and a second detection layer of a farmland soil layer, and calculating a soil porosity compensation coefficient by combining a pressure difference value between the two layers, a soil convection measurement value is generated by combining the temperature difference value between the two layers; matching a preset growth period characteristic database to generate a growth period fingerprint code; constructing a dynamic data matrix containing the temperature gradient and the humidity change rate, giving a weighting coefficient to the time in combination with the growth period fingerprint code, and generating a smooth trend fluctuation curve; generating a three-dimensional imbalance index with economic weight adjustment; and selecting an irrigation mode according to the three-dimensional imbalance index hierarchy, and dynamically adjusting the communication priority of the equipment. According to the method, a hard coding decision-making mechanism which easily ignores market price factors and economic weights is solved, so that a resource allocation strategy deviates from actual benefit requirements.

The invention provides an unmanned aerial vehicle calling system and method based on open source gap atomization service. The system comprises a gap equipment layer, an atomization service framework layer, a protocol hard mapping engine layer, a shared memory direct writing layer and a PX4 flight control layer which are in communication connection with one another. Wherein the gap equipment layer is used for carrying out atomization service standardization packaging on basic services of the unmanned aerial vehicle according to a gap system rule, and constructing an interaction channel between the unmanned aerial vehicle and various terminals; the atomization service framework layer is used for managing the atomization service of the unmanned aerial vehicle; the protocol hard mapping engine layer is used for constructing a hard coding mapping table of an unmanned aerial vehicle atomization service and a PX4 flight control instruction; the shared memory direct writing layer is used for constructing a direct connection framework between a shared memory area special for the unmanned aerial vehicle and a hardware module in a swan-gap system; and the PX4 flight control layer is used for carrying out direct execution on an instruction from the swan gap system through PX4 flight control and carrying out quadruple safety protection on flight control.

The invention belongs to the technical field of low-code development, and provides a low-code development method and system based on mixed orchestration of agents and intelligent services, and the method comprises the steps: creating an application form; according to the business scene function of the created application form, constructing an intelligent agent, and obtaining mapping information between the business scene function and the intelligent agent; performing task decomposition on the created application form to obtain a plurality of sub-application forms; judging the service scene function of the obtained sub-application form, and analyzing the function intention of the sub-application form; task arrangement is performed according to a judgment analysis result of the sub-application form, and arrangement agent calling or arrangement intelligent service calling is selected according to a function intention analysis result of the sub-application form, so that the difficulty of low code development in a complex application scene is reduced; functions of a low-code platform are packaged into an intelligent agent, and intelligent and efficient development of low codes is achieved through hard code mixed arrangement of the intelligent agent and intelligent services.

Methods, systems, and computer program products for executing trusted software components in public computing clouds. Verifiably authentic software components are installed into a tenant partition of a multi-tenant public cloud-based environment. To do so, a software component installer is configured to install registered software components into the tenant partition. Installer processing includes (1) obtaining a component-specific token for a software component wherein the component-specific token is specific to both the software component to be installed and a particular tenant, and (2) installing the software component on behalf of the given tenant in the multi-tenant public cloud-based environment. Prior to executing the underlying code of the tenant-specific software component, the software component is authenticated with a component registry using the component-specific token. Additional trusted components are installed based on demand from within the tenant partition. No user or administrator intervention is needed and no credentials are hard-coded into the software components.

The invention provides an intelligent gateway communication protocol conversion implementation method and system, and belongs to the field of industrial communication gateways. The method comprises the following steps: according to each communication protocol of each device, executing loading of each corresponding communication protocol packing and unpacking program, and executing registration of each corresponding communication protocol packing and unpacking interface; loading of the device variable definition file corresponding to each device and loading of the device communication instance definition file corresponding to each device are executed respectively; wherein the device variable definition file and the device communication instance definition file are both defined by a preset dynamic programming language; and based on the device variable definition file, the device communication instance definition file and the communication protocol packing and unpacking program corresponding to each device, executing a communication instance corresponding to each device, and carrying out data transmission among the devices. According to the method, the coupling of each module of the program is reduced, the complexity of hard coding is reduced, the multiplexing capability of each functional module of the program is further improved, and the universality of the communication gateway program is higher.

Methods and systems for managing service deployment are disclosed. To deploy services, dependencies and other characteristics (such as context data, capability data, placement rules, and workflow data) of services and the infrastructure boundaries in which the services are running may be dynamically collected, analyzed and updated. By dynamically analyzing dependencies and other characteristics (such as context data, capability data, placement rules, and workflow data) of services and the infrastructure boundaries, efficiency of use of computing resources may be improved by recycling existing workflow; statically defined operations and hard-coded conditional logic of services may also be avoided each time an environment in which the services are running has changed.

The invention relates to a data storage method and device, computer equipment and a computer readable storage medium. The method comprises the following steps: firstly, acquiring current application environment information, user demand information and to-be-stored data information by a data middle platform, generating corresponding configuration information according to the current application environment information and the user demand information, constructing a corresponding storage directory tree based on the configuration information, and storing the to-be-stored data information in the storage directory tree; and finally, storing the to-be-stored data information into the corresponding data storage nodes according to the data warehouse elements and the data indexes of the to-be-stored data information. According to the method, the adaptive storage directory tree is reconstructed according to the current scene instead of a storage directory tree in a fixed form, so that the mounting relationship between each data bin element and the data index is more adaptive to the current application scene, the data storage effect is better, the storage directory of a fixed architecture does not need to be modified by hard coding, and the data storage efficiency is improved. And the data storage cost is reduced.

The invention discloses a form dynamic association method, a terminal and a storage medium, and the method comprises the steps: building a form field relationship, defining fields in a form and attributes thereof in a low-code development platform, creating a dependency relationship of each required field, and obtaining a basic data structure of the fields; configuring an association rule, and configuring a dynamic association rule of the field by utilizing the low-code development platform based on the basic data structure and the function requirement of the form; configuring a trigger condition, and configuring the trigger condition of the dynamic association rule through the low-code development platform; and performing dynamic data refreshing, updating data and display contents of the mutually associated forms in real time according to the trigger condition, and displaying a real-time data linkage effect through a front end. The data dynamic association between the forms is realized, the form development flexibility and efficiency are improved, the redundant development work and hard coding are reduced, and the method is adaptive to various complex business scenes.

A nuclear power scene-oriented multi-source heterogeneous data acquisition and processing system realizes thorough separation of equipment access and data understanding through a decoupling architecture of acquisition side plug-in and service side normalization, acquisition plug-in only transmits original data, and semantic analysis is centrally processed by a unified physical model engine; the problem of hard coding coupling of the plug-in and the business logic is avoided; by defining a standardized equipment abstract model and shielding bottom layer manufacturer, protocol and format differences, various kinds of heterogeneous data are standardized on the semantic level, unified modeling and semantic alignment of the multi-source heterogeneous data are achieved, data of various internet of things equipment sources are effectively integrated, and the data processing efficiency is improved. The problems of unclear data semantics and difficulty in unified use caused by diverse equipment manufacturers, different communication protocols and heterogeneous data formats are solved, cross-system linkage is promoted, semantic understanding, structured analysis and standardized presentation of cross-protocol and cross-platform equipment data are realized, and the safety, efficiency and management level of a nuclear power station are improved.

The invention provides a file read-write method and system based on an XML template and electronic equipment, and the main scheme is as follows: text files are converted into data to be put in storage, file related attributes are configured through the XML, and read-write batch put-in-storage operation is performed on the text files in a specified directory and a ready state. File fields needing to be stored are screened out, storage rules are screened through XML configuration data, to-be-stored text data are read and written, and to-be-operated data information is obtained; in the to-be-operated data information, selecting a to-be-operated table name and a data column configured by corresponding field mapping in the table through self-defined data screening to generate a corresponding table entry SQL, and performing persistent storage. According to the invention, by using the file storage configuration, only the corresponding file storage operation needs to be configured, and after the service is accessed, the service can be newly added, expanded and changed only by modifying part of the configuration, so that redundant code development in a hard coding mode in the service expansion is avoided, and the manpower investment of development, test, operation and maintenance is reduced.

The invention discloses an IP general verification platform based on a UVM framework. The IP general verification platform comprises a simulator, a UVM library, a reference model, a TCL script, a first transaction transaction, a second transaction transaction, a third transaction transaction, a fourth transaction transaction, a signal layer, a command layer, a functional layer, a scene layer, a test layer and a test platform top layer. According to the method, verification requirements of various different IPs can be flexibly supported, dynamic configuration of verification environment parameters and interface instances is realized, different design requirements can be adapted without hard coding, the coordination problem of signal synchronization and reset management in a multi-clock domain system is solved, and the reusability and development efficiency of a verification environment are improved.

The invention provides a method and a system for dynamically calling a kernel unexported function, which are used for dynamically acquiring a function address of an unexported kernel function and forcibly calling the function through a kProbes mechanism, matching with a function pointer type definition and a mechanism for forcibly converting the function address into a function pointer. The method not only supports the calling of the kernel function which is not exported, but also does not need to carry out hard coding on the address of the called kernel function, supports the dynamic acquisition of the address of the kernel function, avoids the change of the coincidence address caused by the difference of kernel versions, greatly enhances the compatibility of the software package of the kernel function which is not exported, and improves the reliability of the software package. And the packet does not need to be recompiled in each kernel small version, so that the problem that the kernel symbol table is not matched and the kernel module cannot be loaded is avoided.

The invention relates to the technical field of industrial automation control, discloses an integrated remote system control cabinet based on intelligent control, and solves the problems that a control system is poor in adaptability, collaborative optimization is difficult, and AI decision security is insufficient. An internally-solidified deterministic rule base is combined with a Gaussian mixture model, so that the macroscopic and microscopic states of the industrial process are accurately identified; a multi-agent cooperative control module of a centralized training and decentralized execution framework is adopted to carry out multivariable cooperative decision making; the efficiency evaluation and model optimization module is used for solving a control time lag problem by constructing a layered reward function and carrying out efficient offline training by adopting an agent model constrained by a physical mechanism; and the safety guarantee and system integration module performs safety boundary verification through a hard coding rule base, and integrates an MLOps operation and maintenance process to realize safe and reliable deployment of the model. According to the method, the adaptivity, the collaborative optimization capability and the full life cycle safety of industrial process control are improved.

The invention discloses a universal serial communication framing and de-framing method for external parameter configuration of an inertial sensor, which comprises the following steps of: dynamically defining a data frame structure by loading an external editable parameter file, including frame header byte content and position, various standard and non-standard data type codes of a data segment, a verification mode of a verification segment and frame tail parameters; in the framing process, the sensor data is converted into byte arrays according to a selected protocol, and complete data frames are assembled and output; and verifying the completeness of the frame header and the frame tail based on the same parameter file in the frame decoding process, executing verification calculation and analyzing the content of the data segment. According to the method, universal adaptation of different serial port communication protocols is realized, the problem of poor reusability of a traditional hard coding mode is solved, the communication processing efficiency and flexibility of the inertial sensing equipment are remarkably improved, and the method is particularly suitable for multi-protocol scenes such as fiber-optic gyroscopes and inertial measurement units.

Systems and methods for analyzing documents are provided herein. A plurality of documents and user input are received via a computing device. The user input includes hard coding of a subset of the plurality of documents, based on an identified subject or category. Instructions stored in memory are executed by a processor to generate an initial control set, analyze the initial control set to determine at least one seed set parameter, automatically code a first portion of the plurality of documents based on the initial control set and the seed set parameter associated with the identified subject or category, analyze the first portion of the plurality of documents by applying an adaptive identification cycle, and retrieve a second portion of the plurality of documents based on a result of the application of the adaptive identification cycle test on the first portion of the plurality of documents.

The disclosed concepts relate to employing agent behavior models to control agent behavior in an application, such as a video game or a simulation. For instance, in some implementations, agent behavior models with relatively greater resource utilization, such as generative language models, are assigned to agents that are at higher levels of an agent hierarchy. Agent behavior models with relatively less resource utilization, such as reinforcement learning or hard-coded models, are assigned to agents that are at lower levels of the agent hierarchy.

The invention relates to the technical field of data processing and large language models, and discloses a table building method and device based on cooperation of a large language model and a speculation algorithm. Comprising the following steps: analyzing a target file to obtain a header, sample data and sample statistical characteristics; performing preliminary inference on the header and the sample data based on a speculation algorithm to generate a preliminary inference result of the field; inputting the field name, the sample data, the sample statistical characteristics and the preliminary inference result into a large language model, and obtaining a corrected inference result of the field in combination with a preset cue word; generating a visual table structure according to the corrected inference result; and in response to a confirmation operation of the user on the visual table structure, generating an SQL table establishment statement based on the corrected inference result, and establishing a table based on the SQL table establishment statement. According to the method, the semantic understanding capability and inference capability of the large language model are utilized, the problem that the header and the data meaning cannot be understood by hard coding is solved, and the accuracy, rationality and automation of table structure design in a complex service scene are realized.

Systems and methods for analyzing documents are provided herein. A plurality of documents and user input are received via a computing device. The user input includes hard coding of a subset of the plurality of documents, based on an identified subject or category. Instructions stored in memory are executed by a processor to generate an initial control set, analyze the initial control set to determine at least one seed set parameter, automatically code a first portion of the plurality of documents based on the initial control set and the seed set parameter associated with the identified subject or category, analyze the first portion of the plurality of documents by applying an adaptive identification cycle, and retrieve a second portion of the plurality of documents based on a result of the application of the adaptive identification cycle test on the first portion of the plurality of documents.