262 results about "Core function" patented technology

The invention relates to the technical field of agent construction, and discloses an agent construction method and system based on agentive workflow, and the method comprises the following steps: defining an agent core function module and distributing a unique identifier, building an inter-module communication protocol standard, and determining a message format and a priority rule; the method comprises the following steps: distributing computing resources for each module, setting an elastic capacity expansion and contraction strategy, generating a module dependency graph and an architecture metadata file, detecting the loss and delay of multi-modal input data, generating compensation characteristics based on historical context, calculating the quality confidence of each modal, and carrying out dynamic weighted fusion. According to the invention, a three-level alignment architecture is provided to realize cross-modal semantic consistency, and the generated content is ensured to accord with real scene logic; a double-layer decision-making mechanism is designed to drive workflow dynamic optimization, and the system agility under a complex task is remarkably enhanced; a privacy-efficiency balanced federated architecture is constructed, and differential content generation is supported while enterprise data sovereignty is protected.

Disclosed herein are system, method, and device embodiments for providing a mobile interface powered by artificial intelligence. A user remains on a single user-interface page, conducting interactions with a customer relationship management tool using natural language. The technique leverages a large language model as an intermediary middle-layer, allowing a user to engage core functions. The technique builds an appropriate prompt including the natural language and uses the large language model to build an execution plan that references tools and tasks performable in the customer relationship management tool. By chaining prompts, the technique incorporates prior interactions into subsequent prompts. Mobile-specific information such as location, images, and scanned barcodes may be included in a prompts. Running the large language model on the client device allows the user to perform CRM functions while operating in an offline mode, a mode that secures user data and enhances privacy.

The invention discloses a test case execution method, electronic equipment, a storage medium and a program product, and relates to the technical field of software testing, and the method comprises the steps: obtaining test data features in a test case execution process, carrying out the grading of a test case based on the obtained test data features to determine a grade coefficient, according to the method and the device, the priority of the test case is dynamically adjusted according to the test data characteristics of the test case, the test case is executed according to the priority score of each test case, the execution sequence of the test case is dynamically adjusted, the dynamic adaptability of the test case is improved, and the test efficiency is improved. Therefore, the test efficiency can be ensured, and the determination of the priority score also fuses the test module and the test function point, so that the test cases of the important module and the core function point can have higher priority scores, the execution is preferentially performed, and the coverage integrity of the core function and the error-prone module can be ensured.

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 bill component design period and operation period micro-front-end extension method and device. The method comprises the following steps: developing a micro-front-end extension module according to a preset extension development specification; the micro-front-end extension modules are separated and packaged into different resource files according to different use scenes; registering the micro-front-end extension module as an operation period component or a design period component, and recording an access path and metadata of a corresponding resource file; when a receipt application is started, analyzing the configuration information of the receipt to obtain a core function and an extension point definition, and querying and identifying an extension list needing to be loaded by using registered extension description information and an access path of a resource file; and according to the extension list and the corresponding resource file path, dynamically loading the registered resource file of the running period component or the design period component as required. Through on-demand loading and dynamic module loading, a user only needs to load necessary extensions when opening a receipt, and the initial loading time is remarkably shortened.

The invention discloses an enterprise data analysis system based on natural language interaction, and relates to the field of enterprise data analysis, the system comprises seven core function modules: a dialogue management module supports a user to create a new dialogue and automatically jumps to an initial page; the report interaction module realizes query support and switching functions of a real-time report and a T + 1 report through a floating button; the file import module allows uploading of Word, PDF and JPG format files to supplement question and answer contexts; the model configuration module supports dynamic switching of different AI service interfaces; the interaction auxiliary module provides a quick question button and a dialogue interruption function; the report preview module integrates Excel and PDF plug-ins to realize detail data preview; the session sharing module generates a sharing link and sets an access permission rule; dynamic model configuration optimizes response speed and accuracy; the operation process is simplified by a suspension button and a quick questioning function; the session sharing mechanism supports cross-team cooperation; and the real-time collaborative design with the T + 1 report meets the multi-dimensional data analysis requirement.

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 discloses a cloud native security configuration system and method based on container analysis and LLM, and the system comprises a mirror image static analysis module which is used for compiling a Linux kernel and a standard library source code to extract intermediate representation, and tracking and constructing a double-layer mapping relation library from the system call to the container capability; the dynamic binary extraction module is used for executing the container mirror image and extracting a binary file of a core function; the mirror image static and dynamic association module is used for executing two-stage static binary file analysis and extracting function requirements required by system calling and mirror image for loading during container running; and the cue word construction and model fine adjustment module is used for constructing cue words, performing fine adjustment on the LLM model and generating a minimum privilege function limitation configuration file of the container. According to the method, static analysis and runtime analysis are combined, the container mirror image is thoroughly checked, the function, which is specified by a user and exceeds the original definition of the mirror image, of the LLM model is finely adjusted through the cue word, and privileged function security configuration is generated according to specific requirements.

The invention relates to the technical field of computer system maintenance, and particularly discloses a computer system and a computer system maintenance method, and the method comprises the steps: obtaining the basic information of each to-be-installed patch corresponding to a target computer system, and carrying out the preliminary analysis to obtain the safety evaluation coefficient of each to-be-installed patch; collecting multi-dimensional data of the target computer system, and generating a virtual copy synchronized with the target computer system in real time in the isolation environment; installing each patch to be installed in the original target computer system in the isolation environment, running a core function module of the target computer system in the isolation environment, and further verifying a compatibility evaluation coefficient of each patch to be installed in the isolation environment; synchronously monitoring the dynamic operation behavior of each patch to be installed in real time in the isolation environment, and detecting a potential behavior threat assessment coefficient of each patch to be installed in the isolation environment; not only is the possibility of patch introduction reduced, but also a solid foundation is provided for long-term maintenance and safety management of the system.

The invention relates to the field of seismic exploration data processing, and particularly discloses a PySpark-based seismic data batch processing method and device, and the method comprises the steps: loading segment data through employing a segment library; the segment data is stored in different RDDs in a partitioning mode; defining, by a developer, a core function of data processing performed by each RDD block; constructing a module development template based on a core function of data processing performed by each RDD block; and outputting and storing a processing result of the module development template. According to the method provided by the invention, the parallelization processing of the calculation process is realized by carrying out block storage on the segment data, defining a core function for data processing and constructing a module development template, and meanwhile, the calculation efficiency and the processing speed are improved by utilizing the cluster calculation capability of Spark.

The invention discloses an Internet of Things puncturable attribute-based encryption method based on a block chain and a Bloom filter, and is used for solving the problems of low dynamic permission revocation efficiency and difficult operation auditing in an Internet of Things environment. The method realizes a core function through the following steps: an authorization mechanism initializes system parameters and segments a master key; a data owner defines an access strategy and initializes the Bloom filter during encryption; when the permission is revoked, a puncture tuple containing a label binding component, a strategy binding component and a cross validation component is generated, and the ciphertext is updated after verification of a block chain smart contract; and during decryption, the cloud server firstly screens the validity of the user tag through a Bloom filter, and then decrypts the data in combination with an attribute strategy. The method has the advantages that the complexity of puncture verification is reduced by the Bloom filter, and the resource consumption is remarkably reduced; two-factor binding and cross validation ensure that puncture operation cannot be forged; and the block chain completely records key generation, puncture and decryption operations, so that operation transparency and auditing performance are realized.

The invention provides a unified operation and maintenance management and intelligent supervision system and method based on a large language model, the system is provided with a plurality of operation and maintenance and supervision script template components, and the system comprises a front-end interface subsystem, a rear-end service subsystem and a plurality of core function subsystems which are in communication connection with one another; the front-end interface subsystem is used for providing a friendly operation interface, an instrument panel and function navigation for a user and a manager; the back-end service subsystem is used for acquiring multi-source data in real time, performing multi-type analysis on the multi-source data based on a large language model, and executing corresponding operation according to an analysis result; and the plurality of core function subsystems are used for providing unified operation and maintenance management and intelligent supervision service for users and managers. The invention aims to construct an intensive operation and maintenance management system, so that the problems of non-standard flow, non-closed loop of problem processing and the like in a company business operation and maintenance process are solved, and integrated, structured and intensive operation and maintenance management is finally realized.

The invention relates to the field of software security, and particularly discloses a software patch security execution method and system based on container isolation. The method comprises the following steps of: receiving a target software path and a patch file path through a Go language; creating a temporary container environment, mounting a software directory in a read-only mode, and mounting a patch file in an executable mode; running a network monitoring module in a host machine, intercepting all network requests of the patch program in the container by adopting a transparent agent, and prompting a user to make a decision in real time; executing the predefined function test script in the container, and verifying the integrity of the core function through weighted calculation; and if the function test is passed and no network request is blocked, synchronizing the modified file in the container to a target directory of the host machine, otherwise, automatically destroying the container. According to the method, malicious codes are isolated through the container, network behaviors are dynamically monitored, functional integrity is automatically verified, and the problems of security risks and environmental pollution of patch application are effectively solved.

The invention provides a software and hardware integrated intelligent terminal power transaction system and method, relates to the technical field of power market transaction, and solves the technical problems of data potential safety hazards and insufficient real-time performance caused by dependence on an external platform in a power transaction process in the prior art. The system specifically comprises a hardware architecture and a software function module, the hardware architecture comprises a processor, a redundant power supply, a storage device, a network interface, a security encryption chip and a display interface; the software function module comprises a core function layer, an interface layer and a security layer; wherein the core function layer is used for being responsible for processing and controlling the whole flow of power transaction; the interface layer is used for carrying out standardized and ordered external data interaction; and the security layer is used for guaranteeing the security of the terminal from multiple dimensions of communication, transaction, data and operation and maintenance. The method is used for electricity market transaction.

The invention discloses an active prevention measure and system based on individual emergency protection. The method comprises the steps of hardware module integration and test, core function logic development, cloud system architecture construction, power supply and industrial design and system integration and compliance authentication. The invention belongs to the technical field of campus safety, and particularly relates to an active prevention measure and system based on individual emergency protection, and the scheme adopts a magnetic latching relay to realize physical disconnection, adopts a dual authentication process, sets a one-way communication system, and carries out dynamic sound pressure adjustment based on environmental noise; an end-to-end encryption channel is developed, a double-encryption mode is adopted, a dynamic fragmentation storage technology is applied, an encryption channel is established, key exchange and video fragmentation hash verification are adopted, an equipment state vector is defined, and a 3D convolutional neural network is adopted to identify violent behaviors.

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 provides a network card driven packet receiving and sending test method and device, and relates to the field of drive function test.A test message is generated through a test application based on an IOCTL interface, a network card driver is triggered by means of an IOCTL command to execute packet receiving and sending logic, direct interaction with the driver is achieved, and the physical transmission link of hardware is skipped; and the software logic processing capability of the driver is directly tested. The function correctness is verified through the test result returned by the driver, the data returned by the network card driver is determined by the software logic of the driver, only the driver processing result and the expected result need to be compared in the whole process, and whether hardware actually completes physical transmission of the message or not does not need to be concerned. And the dependence on hardware is fundamentally eliminated.

The invention discloses an industrial edge application dynamic updating method based on a microkernel, and relates to the field of industrial automation. Designing an industrial edge application based on the microkernel; and constructing a function block as a thread, and dynamically updating the industrial edge application by reconfiguring a thread entry point address. The microkernel architecture is mainly used for designing an operating system, the most basic core functions (scheduling, inter-process communication and address space management) in the operating system are realized, and all other functions such as a file system and a device driver are operated in a user layer as independent services. All services run in different address spaces in the form of threads, different services can be strictly isolated by combining access control based on Capability, and other services and kernels cannot be affected by collapse of any service. The micro-kernel architecture also adopts a modular design, and any independent module can realize thread-level loading and updating, so that dynamic updating and expansion are facilitated.

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 provides a Java editor plug-in implementation method and system based on an Eclipse platform, and the method comprises the steps: carrying out the initialization configuration and registration of a plug-in, constructing a text editor interface capable of embedding Eclipse, achieving a grammar highlighting function, achieving a code completion function, achieving a code formatting function, and carrying out the deployment and operation of the plug-in. According to the mode, a novel plug-in system independent of a native JDT editor is constructed, visual editing of the. Java file is achieved, core functions such as grammar highlighting, code complementing and code formatting are integrated, meanwhile, butt joint with a JDT language server is supported to improve semantic analysis capacity, and finally on the premise that lightweight deployment and high compatibility are guaranteed, the semantic analysis capability of the. Java file is improved. And the Java development efficiency and the user experience are improved. By means of the technical scheme, the technical problems that in the prior art, an Eclipse Java editor plug-in is low in function integration level, insufficient in semantic support and lack of key editing functions are solved.

The invention discloses a playing effect adjusting method and device, equipment, a medium and a program product, and the method comprises the steps: obtaining a first actual load of a graphic processing unit under the condition that at least two pieces of screen equipment of a vehicle are operated; and under the condition that the first actual load exceeds a first preset load, reducing the display effects of other screen devices except the screen device with the highest priority in the at least two screen devices. According to the embodiment of the invention, hardware resources occupied by each screen are reasonably allocated in a multi-task scene, and the playing effect is dynamically adjusted according to the priority of each running screen, so that the probability of jamming of screen equipment with high priority is reduced, and the screen use experience of a user is improved under the condition of ensuring safe driving of an automobile. A dynamic degradation and self-adaptive optimization mechanism reduces unnecessary rendering or special effects at the load peak of the GPU, and ensures the fluency of core functions.

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 BMC system stability test system and method, and the system comprises a client-side and server-side communication module which is used for installing a client-side tool in a server to communicate with a server side; the core function test module comprises a test type management sub-module and is responsible for managing and scheduling test types; the test execution sub-module is used for executing each test type, collecting test data and returning a test result; the test data collecting and processing sub-module is used for collecting, processing and analyzing the test data and generating a report; the test result feedback sub-module is used for feeding back a result to a user and storing test data; the survival state checking module is used for constructing a survival state checking mechanism and evaluating the working states of the BMC module and the server OS; and the log recording and problem prompting module is used for recording log information and prompting a user when an abnormal condition is detected. By adopting the mode of automatically running the test case, the tedious process of manual test is eliminated, and a series of complex test tasks can be automatically completed without manual intervention.

A method implemented at a common application programming interface (API) framework (CAPIF) core function is provided. The method includes establishing a secure session with an API invoker onboarded with the CAPIF core function from an onboarding based on onboarding information. The method includes receiving an onboarding update request message including the onboarding information from the API invoker, and validating the onboarding update request message and the onboarding based on the onboarding information. The method includes performing a renewal of the onboarding based on the onboarding update request message, and sending an onboarding update response message to the API invoker based on the renewal. A corresponding method implemented at an API invoker is also provided.

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 present application discloses a basic input / output system security protection method, apparatus, device and medium, relating to the field of computer system security technology. The method comprises extracting a firmware capsule file from a basic input / output system image file to achieve independent verification of the update content, so that the system can seamlessly adapt to dynamic firmware updates and avoid compatibility issues caused by changes in signature rules. The firmware capsule file includes a first signature and a signature file, and the signature file includes a core code file and a second signature. This layered design allows for dynamic adjustment of verification strategies based on security requirements at different levels. The first layer verifies the integrity of the signature file to ensure that the firmware capsule file has not been tampered with. The second layer verifies the integrity of the core code file to ensure that the core functions have not been tampered with, thereby enhancing dynamic adaptation capabilities.

This network node includes: a reception unit for receiving an authorization request from an application programming interface (API) calling source; a transmission unit for transmitting a token corresponding to the authorization request to the API calling source; and a control unit for deleting unnecessary API provider domain information when shifting a common API framework (CAPIF) core function associated with the API calling source.

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.