150 results about "Core function" patented technology

The invention discloses a software development result traceability analysis system based on version control, and relates to the technical field of intelligent software analysis. According to the method, the non-tampering property of code submission records is ensured through a block chain technology, a credible basis is provided for traceability, the code semantic analysis module generates a data set containing semantic association in combination with a clustering algorithm and weighted calculation, and the function influence positioning module constructs a function association graph by applying a graph neural network algorithm, so that the traceability is improved. An influence path of code change on system functions is automatically identified, the time cost of complex project function influence positioning is remarkably reduced, an evolution path generation module analyzes and tracks a code evolution path in combination with a time sequence, and a core module identification module clusters key nodes and positions a core function module. And the time-tracing source data storage module generates a visual relation graph and a queried data set, so that the whole-process management from code submission to result tracing is realized.

The invention provides a quick start and security verification method and equipment for an embedded device, a medium and a program product, in the method, firmware is divided into a core start module and a non-core function module in advance, and the core start module and the non-core function module are respectively stored in a high-speed access area and a common storage area of a nonvolatile memory; after the embedded device is powered on, initialization of the key peripheral is completed; when firmware is started or updated for the first time, security verification based on a digital signature is executed on the core starting module, if verification is passed, a mirror image of the core starting module is written into a running cache partition of the nonvolatile memory, and an integrity label is generated; in the subsequent starting process, the mirror image is loaded from the running cache partition, and the integrity label is used for executing rapid verification; after loading of the core starting module is completed, the non-core function module is loaded, and lightweight check is executed. According to the method, the security of the core module is ensured, the performance and security requirements of the non-core module are considered, and the calculation and storage overhead is reduced.

The invention relates to a time sequence lightweight analysis method which comprises the following steps: 1) constructing a time sequence lightweight adaptive network model which comprises a basic input layer, a core function module, an optimization training module and a task adaptation layer; 2) inputting the time sequence data into a basic input layer, processing the time sequence data, and outputting a patch sequence; 3) in the core function module, performing core noise filtering and frequency domain feature enhancement on the patch sequence to obtain a time domain enhancement feature; 4) performing feature fusion on the time domain enhancement features to obtain interaction enhancement features; and 5) inputting the interaction enhancement feature into a task adaptation layer to obtain a time sequence analysis result. According to the method, accurate capture of nonlinear features and complex structures of time sequence data, fusion of short-term and long-term dependency relationships and universal adaptation of multiple types of time sequence tasks can be effectively achieved, model lightweight and calculation efficiency are considered at the same time, and balance of performance and efficiency is achieved.

The invention discloses a hospital inquiry system based on the Internet. The hospital inquiry system comprises a business platform layer, a multi-terminal application layer, a composite interaction layer and a verification layer, the service platform layer is constructed by adopting a Java Springboot and SpringCloud micro service architecture, and a plurality of core functions can be packaged into an independent service process; the multi-end application layer can select an optimal technology stack to form a multi-end application based on operation habits and performance requirements of different terminal users, and each end performs front-end and back-end separated interaction with the service middle station through an API gateway; and the composite interaction layer is used for establishing a communication link between a doctor and a patient so as to carry out a full-service process of online inquiry, prescription making and medicine distribution. According to the system, a one-stop business process of online inquiry, prescription extraction, medicine purchasing and distribution is realized, meanwhile, doctors are supported to receive diagnosis through a mobile terminal or a computer anytime and anywhere, and the problem that the licensing behaviors of the doctors are bound to fixed places and time of physical hospitals is solved.

The invention discloses a personal data value management system and method. The system comprises a main body collaboration layer which is used for defining roles and responsibilities of multiple main bodies and constructing a multi-main-body collaboration framework; the process management and control layer is used for constructing a full-process closed-loop design and establishing linkage rules of all links; the rule guarantee layer is used for constructing a rule system and dynamically adjusting the rule system according to scenes, policies and markets; the value distribution layer is used for carrying out quantitative processing on the individual contribution degree and the enterprise contribution degree and carrying out income distribution according to the individual contribution degree and the enterprise contribution degree; and the personal participation layer is used for constructing a personal participation mechanism so as to obtain personal data dynamics and rights and interests in real time. By adopting the system provided by the embodiment of the invention, a five-layer cooperative personal data valued management system is constructed, each layer not only defines the core function, but also realizes cooperation through data synchronization, rule linkage and a subject counterbalance mechanism, and a management closed loop covering the full life cycle of personal data is formed.

The invention discloses a distributed cloud storage system for credible storage of bulk transaction data, which comprises a three-layer hybrid architecture and a core function module for cooperative work, and has the functions of credible storage, privacy protection and cross-mechanism verification of the full life cycle of the bulk transaction data. According to the system, through innovative hybrid architecture design and core technology research and development, the core goal of storing hash on a chain and storing original under the chain is achieved, it is guaranteed that data cannot be tampered in the whole life cycle, meanwhile, it is guaranteed that data sovereignty belongs to enterprises, the cross-mechanism verification efficiency is improved, the operation cost is reduced, and solid technical support is provided for bulk commodity transaction digitization.

An auto evaluation system for evaluating large language models (LLMs). The auto evaluation system loads a base auto evaluation class with core functionalities, selects one or more metrics for evaluation, extends the base auto evaluation class to create a child class with additional functionalities tailored to the selected metrics. A judge LLM receives the evaluation prompts from the auto evaluation server for response generation and computes evaluation scores for the test LLM.

This application discloses a training method, device, electronic device, and storage medium based on a large language model. The method includes pre-configuring training modes, which at least include open-ended training and restricted training. The open-ended training and restricted training can run independently or be switched on demand. Responding to the input of the user to be trained, the method selects the training mode and simultaneously conducts training based on a fallback process, outputting the final training evaluation result. The fallback process ensures the continuity of the large language model training process. This application provides a training method including open-ended training, process tree restricted training, and a fallback process. The open-ended training integrates a knowledge base and a large evaluation model; the process tree restricted training includes configurable nodes and eight core functions; and the fallback process has model monitoring, self-interruption, and dialogue switching capabilities, achieving integrated training with flexible interaction, standardized control, and stable operation.

The application discloses an offline evaluation system for enterprise ecological strategy based on a Web front end, comprising a front-end application layer, a resource management layer, a core function layer and a data storage layer; user registration is completed through the resource management layer, and a core shard storage module is pre-cached, and a WebAssembly inference engine module is initialized; user input is received through a user interface, and data input by the user is stored in the core shard storage module in real time, network state detection is performed through the resource management layer, when in an offline state, the WebAssembly inference engine module obtains data from the core shard storage module and performs relevant calculation tasks to determine the risk of the ecological system; the WebAssembly inference engine module transmits the calculation result to the front-end application end and visually presents it to the user. In the application, enterprise ecological strategy evaluation can be performed whether the user is in a network environment or not, the continuity of enterprise decision-making work is ensured, and internal data does not need to be uploaded to a third-party platform, so that the risk of leakage of core business secrets is reduced.

The present disclosure relates to the technical field of batteries, and provides a sampling device, a battery management system, and a vehicle. The sampling device includes multiple core function regions, an auxiliary function region, and a terminal connector. The multiple core function regions are configured to process information of a battery. The auxiliary function region has wiring arranged therein, and is configured to transmit a signal corresponding to the information. The multiple core function regions are cascaded through the wiring.

The invention relates to the technical field of function engine configuration, and discloses a development method and system based on a low-code configuration function engine, and the method comprises the steps: decoupling bottom configuration information and specific business configuration according to the core capability demand of the function engine, and configuring a basic support module for the operation of the function engine; configuring a core function of the function engine based on the basic support module, and converting a core function configuration process of the function engine into an executable logic or instruction; configuration of executable logic or instructions is achieved through a visual user interface, an operation and maintenance mechanism is adjusted in real time in combination with the operation state in the operation process of the function engine, and core functions of the function engine are continuously iterated in combination with user feedback and service changes. According to the method, the function engine can be quickly configured while the code quantity is reduced, so that business changes are quickly responded, the efficiency is improved, and the cost is reduced.

1. Name of the product in this design: Large-scale model-assisted graphical user interface for electronic devices. 2. Purpose of this design: An electronic device. 3. The key design feature of this product is its graphical user interface. 4. The picture or photo that best illustrates the key design points: Design 1 front view. 5. The product carrier is a conventional design, and the rear view, left view, right view, top view, and bottom view in each design are omitted. 6. Design 1 is designated as the basic design. 7. Purpose of the graphical user interface: mainly used to implement large-scale model-assisted problem-solving functions. 8. Human-computer interaction method of graphical user interface: The top of the main view of Design 1 to Design 5 is the navigation area, the middle is the core function area, and the bottom is the shortcut function entry area. Clicking any option in the above areas can perform the corresponding operation. In the main view of Design 4, click the "Add Function" button at the bottom, which is the shortcut function entry area, to enter the Design 4 change state diagram and the shortcut function addition settings interface. In the main view of Design 5, click the floating ball in the lower right corner of the interface to enter the Design 5 change state diagram 1. The floating ball menu will pop up on the right side of the interface. Click "AI Smart Assistant Entry" in the menu to enter the Design 5 change state diagram 2, the AI ​​Smart Assistant dialogue interface.

The invention relates to a virtual power plant output optimization and fund flow collaborative management system, and belongs to the technical field of new energy. According to the invention, the data acquisition layer is used for acquiring multi-dimensional data of equipment, a power grid, a market and funds; the core function layer comprises an output optimization module, a fund and output collaboration module and an intelligent contract and green financial docking module, and full-link collaboration is realized through data interaction; the application output layer is provided with multiple terminals to output operation results. The problem of disjunction of output and funds is solved, the system cooperation efficiency and profit potential are improved, the operation cost is reduced, the green financial docking process is simplified, and the system compatibility and operation stability are enhanced.

The invention provides an RAN (Radio Access Network) architecture and an RAN computing service providing method. The RAN architecture comprises an RAN open function entity; wherein the RAN open functional entity has a CAPIF core function of the RAN domain; or the RAN open function entity multiplexes the CAPIF core function of the core network domain; the CAPIF core function comprises at least one of the following items: application programming interface (API) caller authentication, authorization and service discovery; according to the embodiment of the invention, the RAN open function entity is introduced into the RAN architecture, and the CAPIF core function is combined to realize flexible wireless access network computing service provision, so that the computing service of the wireless access network side can be open to the outside.

The invention relates to a campus intelligent service system based on multi-module fusion, and aims to solve the problems of low efficiency, dispersed information, single function and the like in the current campus service. According to the system, a plurality of core function modules are integrated, and a comprehensive service platform covering the whole-process learning and daily life demands of students from entering school and checking in to graduation and leaving school is constructed.

An authorization revocation method and apparatus. The method comprises: receiving a first authorization revocation request sent by an API invoking entity, verifying the first authorization revocation request; and if the verification is passed, revoking a token corresponding to the first authorization revocation request. A processing method is provided for the situation of “authorization revocation”, so that a CAPIF core function or authorization function revokes, according to an authorization revocation request sent by the API invoking entity, a related token used when accessing a resource of a UE, and thus potential threats caused by token leakage can be reduced.

The application discloses a contract full life cycle processing and examination system based on artificial intelligence, and belongs to the technical field of artificial intelligence and contract management. The system adopts a three-layer architecture of a core function layer, an auxiliary support layer and a data layer, the core function layer integrates four modules, the auxiliary support layer contains three components such as a knowledge graph, and the data layer realizes data intercommunication through distributed storage. The intelligent examination module integrates multi-model fusion analysis capability, and the remaining modules realize contract drafting and performance closed loop, automatic extraction of key information and multi-version semantic comparison respectively. Through incremental training, dynamic rules and knowledge graph updating, the application realizes contract full life cycle closed loop processing, solves the defects of the prior art, improves processing efficiency and examination accuracy, reduces enterprise cost and risk, and is suitable for personalized needs of various enterprises.

The invention provides an enterprise application component building method and system based on a large language model, and the method comprises the steps: S1, obtaining a user component demand, carrying out the analysis, generating a structured demand document, and determining whether to enter a step S2 or not according to a user demand confirmation result; s2, generating a core function module of a component through a component generation engine based on the structured demand document confirmed by the user; s3, matching a corresponding interface template from a preset universal interface library according to an adaptive system list in the structured demand document, and generating an interface adaptive code; and S4, deploying the core function module and the interface adaptation code to a preview environment for a user to preview, and selecting to automatically package and generate a component installation package or re-executing the steps S1, S2 or S3 according to a user preview confirmation result. According to the method, a full-link automation mechanism of'natural language demand-component generation-interface adaptation 'is constructed, so that the component building threshold is reduced, and rapid adaptation of the component and the existing system is realized.

The invention discloses a Nodejs-based progressive service framework, and relates to the technical field of computers, and the Nodejs-based progressive service framework comprises a double-layer architecture layer which is used for separating extended functions of core functions; the double-layer architecture layer comprises a core package and a framework template, the core package comprises operation architecture codes and general functions, the framework template appoints a system file structure and a function writing mode, the core package pre-integrates Modbus, SNMP and MQTT protocol analysis engines, and the plug-and-play equipment access capability is achieved through the standardized adaptation layer; an API (Application Program Interface) service framework and a communication management and data processing component are arranged in the core packet; the equipment access layer is used for automatically identifying the type of equipment when the equipment is dynamically or statically accessed, and carrying out conversion and access through the protocol adaptation layer; an operation and maintenance management layer; a modular design layer; an extension layer; according to the invention, a common equipment protocol analysis engine is preset in the core packet, and the equipment access process is simplified through the standardized adaptation layer, so that the complexity of development and integration is reduced.

The invention discloses a network function opening method and device, equipment, a storage medium and a product, and is applied to an intention processor, and the method comprises the steps: receiving a network function opening request which is sent by a network function calling party and comprises a declarative service target, and carrying out the analysis of the network function opening request, and obtaining the information of determining an API calling strategy; an API calling request is sent to a CAPIF core function based on the API calling strategy information, an API calling response message returned by the CAPIF core function is received, and the API calling response message comprises an API calling execution result; and sending a network function calling notification message to the network function calling party based on the API calling execution result. The abstract intention of the user can be converted into a series of network actions and application program interface calling combinations, so that the user does not need to understand a complex network architecture, and the application program interface can be called directly based on a natural language to complete a service target.

The application provides an anti-UAV display control training method and system, which can directly use the software interface of the actual system to directly cover, without copying the software interface and process, with low cost and short development cycle; since the actual system software is adopted, the software interface and operation process are 100% consistent with the actual system, a small design problem does not affect the core function, the design fault tolerance is high, and the operation experience is realistic; if patch repair type software upgrading of the actual system is encountered, the application can automatically adapt to realize the capture operation, and solves the problem of the current anti-UAV display control training system, which realizes the construction means of the UAV display control training system through one-to-one copying, and the practicality is poor.

The invention provides a high-priority test case screening method and device, a storage medium and computer equipment, and relates to the technical field of computers.The method comprises the steps that a demand document and a test case set are received; preprocessing the demand document, and constructing a cue word based on a preprocessing result; inputting the cue word and the test case set into a large language model to obtain an initial high-priority test case; after text normalization processing is conducted on the initial high-priority test case, a target high-priority test case is obtained through text matching processing, and the target high-priority test case is marked. According to the method, high-priority test cases can be automatically and accurately screened out in a rapid iteration software development environment, the coverage rate and efficiency of regression testing and smoking testing are improved, meanwhile, the correctness of core functions is guaranteed, and the reliability and applicability of case screening results are remarkably enhanced.

The present disclosure provides a model definition-based remote sensing data on-board processing system and device, which comprises a basic resource layer configured to store at least two underlying operator modules required for implementing on-board processing tasks; and a core function layer configured to store at least two processing cores required for implementing on-board processing tasks; wherein the processing cores are combined to be implemented by at least one underlying operator module through calling the underlying operator modules in the basic resource layer; in this way, when implementing on-board processing tasks based on the system, only task instructions need to be configured in an application expression layer according to application requirements of the on-board processing tasks, and the corresponding processing cores can be called from the core function layer to generate corresponding on-board processing tasks through the task instructions, thereby reducing the rewriting rate of similar algorithms, and further reducing the development cycle of the on-board processing system, and adapting to the requirements of future satellite low cost and rapid deployment.

Various aspects of the present disclosure relate to establishing security in a common application programming interface framework. An apparatus for wireless communication implements a first common application programming interface (API) framework (CAPIF) core function (CCF). The apparatus receives a first signaling indicating a first authentication request corresponding to an API invoker, the first authentication request including one or more of an API invoker identifier (ID) of the API invoker, an API exposing function (AEF) information, or service API information. The apparatus transmits, to a second CCF, a second signaling indicating a second authentication request, wherein the second authentication request includes one or more of the API invoker ID, an API invoker uniform resource indicator (URI), the indication of the AEF, the service API information, a pre-shared key for the AEF, or a root certifying authority (CA) for a certificate of the API invoker.

The invention provides an information processing system. The information processing system comprises a device for automatically scanning all software codes and identifying the effect and relevance of each code file; the device is used for extracting the overall design concept of the system based on the analyzed code metadata; the device is used for generating a teaching reduced version code convenient to understand on the basis of keeping a project core function; the device is used for generating corresponding answers for questions proposed by a user based on the overall design concept of a project.

The application discloses a cross-AZ communication method and related device and cloud network. The method comprises the following steps: for an availability zone gateway connected with multiple availability zones, in response to a message forwarded by a first network element in a first availability zone, determining a second network element of a second availability zone to which the message needs to be forwarded according to information of a message receiving end in the message; and forwarding the message to the second network element, so that the second network element sends the message to the receiving end after processing. The application can realize cross-AZ communication, and each availability zone only needs to store user information in the availability zone and information of an access point of the availability zone gateway, without needing to care about related information of the access point and the user of other availability zones, so that the network element of each availability zone is lightened, and is better focused on core functions such as logical processing, message encapsulation and decapsulation and message forwarding.

The invention relates to the technical field of electric power safety, and particularly provides a comprehensive intelligent anti-misoperation system, a forced locking method and a remote control locking method. The system comprises a user layer which is responsible for displaying a core function and receiving a specific access request of a user; dividing the comprehensive intelligent anti-misoperation system into a plurality of unit subsystem modules according to the core function and the specific access request, wherein each unit subsystem module is used for realizing a corresponding function; the application layer is used for constructing a user interaction interface according to the specific access request; an interaction access request is sent to the slave service layer through the user interaction interface; the business layer sends an interaction response result to the application layer according to the interaction access request; the integration layer is responsible for processing and integrating real-time data from different sources and constructing a database for determining an interaction response result; and the resource layer is responsible for storing corresponding data. According to the invention, comprehensive and intelligent control of operation of the power system can be realized, electrical misoperation is effectively prevented, and stable operation of the power system is guaranteed.

The application provides a logic standardization processing method of a distributed power distribution terminal, and belongs to the technical field of information processing, and comprises the following steps: obtaining original logic configuration of core functions of the power distribution terminal; performing syntax normalization conversion on a private logic expression, extracting a self-defined operator, a composite variable and an operation relationship, and mapping the conversion result and the extraction result to a preset standardized logic meta-phrase set to generate a standardized logic topology expression describing a connection relationship of logic units, wherein the standardized logic meta-phrase set corresponds to the core functions; performing lexical and syntax analysis on the standardized logic topology expression, extracting non-divisible logic atomic units, and matching a physical quantity mapping relationship of a hardware interface and a communication interface of the corresponding power distribution terminal; and based on logic interaction rules among multiple power distribution terminals and in combination with the physical quantity mapping relationship, a logic execution dependency graph is constructed to realize collaborative work of the distributed power distribution terminal. Cross-terminal logic standardization is realized, and processing efficiency is improved.

The application relates to the technical field of UVM use case verification, and relates to a verification method and system for a UVM verification use case, which comprises the following steps: receiving user input information, identifying a target top-level file based on the user input information, performing compilation by using the target top-level file, assigning the name of a class in the user input information to a test class specified parameter, replacing the default value of a UVM core function run_test() with the assigned test class specified parameter, obtaining a target UVM core function run_test(), when running to the target UVM core function run_test(), executing test class instance creation, obtaining a test instance, performing a construction stage operation and a component connection operation according to the test instance, obtaining a target simulation verification platform, and performing core simulation based on the target simulation verification platform. The application can improve the starting efficiency of the verification process of the UVM verification use case and improve the automation degree of the verification process of the verification use case.

The invention relates to the technical field of software engineering and software quality assurance, and provides a method and a system for evaluating influence of quantitative code change on a program implementation effect. The method comprises the following steps: acquiring code difference information between a to-be-tested code branch and a baseline branch, analyzing and extracting structured information of a changed code through a large language model, and calculating a basic influence value of the structured information of the changed code; calling a program behavior feature library based on the structured information of the change code, and calculating a dynamic adjustment coefficient; calculating the final influence score of each dimension according to the product of the basic influence value of the structured information of the change code and the dynamic adjustment coefficient; the final influence score of each dimension comprises a core function influence score, a performance efficiency influence score, a data consistency influence score, an interface compatibility influence score and a security influence score; and generating an influence analysis report according to the final influence score of each dimension. According to the method, the basic influence value determined by the change type is multiplied by the dynamic adjustment coefficient determined by the module criticality and the historical risk, so that the code change influence is accurately and dynamically quantified.