12 results about "Local function" patented technology

The invention belongs to the technical field of software security, and particularly discloses a warehouse-level vulnerability detection method and device based on a large model function semantic abstract. The method comprises the following steps: generating a vulnerability detection abstract syntax tree according to a to-be-detected source code; generating an assembly prompt word according to the complete source code of the node function in the unprocessed state and the target semantic abstract, and analyzing the node function in the unprocessed state according to the assembly prompt word by calling the target large model; and determining a vulnerability detection result of the to-be-detected source code according to the initial function semantic abstract and the structured function semantic abstract. Through the above mode, the vulnerability detection abstract syntax tree is generated by using the program structure modeling strategy and the full function call graph is constructed, and then the semantic abstract of the structured function is determined by using the semantic understanding capability of the target large model, that is, deep security analysis and vulnerability mining are performed from the local function to the global context. Therefore, the accuracy and comprehensiveness of warehouse-level vulnerability detection can be effectively improved.

The invention discloses a control method and system for continuous work of a device and a storage medium. The control method comprises the following steps: receiving a sensor signal, wherein the sensor signal represents the running state of a controlled object; acquiring a preset control logic for controlling the action of the controlled object, wherein the preset control logic comprises a plurality of branch logics for processing sensor signals; and when the sensor signal meets the preset shielding condition, skipping the branch logic related to the sensor signal in the preset control logic, and continuing to execute the remaining branch logic. According to the method, intelligent screening and decision making are carried out on sensor signals through preset shielding conditions, precise recognition and positioning of invalid or valid signals are completed, and the situation that a traditional system is caught in logic deadlock and process due to waiting or responding to the signals is fundamentally avoided; therefore, the controlled object can still maintain the core operation capability when the local function is lost, and the continuity and stability of the production process are guaranteed.

The invention discloses a microphone terminal control method, a storage medium and equipment, and the method comprises the steps: collecting an environment audio signal of a surrounding environment of an audio and video integrated system based on a microphone array; the system operation state of the audio and video integration system is recognized based on the environment audio signal, and the system operation state comprises an occupied state or an idle state; when it is detected that the system operation state is an idle state, the microphone terminal is controlled to execute a low-load management operation; the low-load management operation includes any one of a standby operation, a sleep operation, a restart operation, or a local function-off operation. Therefore, a microphone terminal intelligent control mechanism with self-sensing and self-decision-making capabilities is constructed, and intelligent load reduction operation of the microphone terminal when the system is in a standby state is realized.

The application discloses a risk control modeling method and device based on a large model agent and equipment, comprising: receiving a natural language modeling instruction input by a user, and inputting the natural language modeling instruction into a fine-tuned intention recognition large model for analysis, and outputting a corresponding structured function call instruction sequence; inputting the structured function call instruction sequence into a risk control modeling agent to generate a corresponding task execution plan; selecting an execution path according to the task type of each function call instruction in the task execution plan through the risk control modeling agent; calling a corresponding remote tool service or a local function function to execute the current task according to the execution path, and returning an execution result; receiving and integrating the execution result of each function call instruction through the risk control modeling agent, and determining and executing subsequent operations according to the obtained integrated result, wherein the subsequent operations include continuing to execute the next function call instruction, initiating an interactive inquiry to the user or outputting a final risk control modeling result.

The present invention provides a method, system, terminal, and medium for dynamically implementing browser extensions. The method comprises: creating a base extension in a local browser; when the browser initiates a website access request, the base extension obtains a local configuration file; when the base extension detects that the configuration file contains a configuration corresponding to the website access request, the base extension obtains a local function extension file corresponding to the configuration and returns the function extension file to the browser; and the browser appends the function extension file to the access page returned by the website access request for execution. In this method, users can maintain and update the browser extension by modifying, adding, or deleting the configuration file and function extension file, eliminating the need to reinstall and load a new browser extension, thereby simplifying the browser extension maintenance and update process.

Systems and methods for using compiler transforms to transform a non-local function into a local function are disclosed. The systems and methods perform a dynamic inter-procedural analysis before performing reverse-mode automatic differentiation. The dynamic inter-procedural analysis is performed to determine a maximum set of computer program information. A non-local to local transformation is applied to the determined maximum set of computer program information, and each original instruction is mapped to an optic that is represented as an opaque closure in the transformed local function.

The invention relates to the field of artificial intelligence, and particularly discloses an agent-based software interaction method and device and a medium, and the method comprises the steps: obtaining a natural language instruction input by a user and pre-stored user information in response to an identity verification passing instruction; determining an execution instruction template group corresponding to the natural language instruction and the user information in a preset database; generating an execution instruction group based on the natural language instruction and the execution instruction template group; matching execution functions corresponding to the execution instructions in a local function library based on a preset mapping relation; and executing the execution functions in sequence to obtain an execution result corresponding to the natural language instruction. By pre-storing user information, the same instruction can dynamically map differentiated operation logic according to identities. And under the condition of agent decision making, the user only needs to confirm the decision making of the agent after inputting the fuzzy demand, so that the condition of manual intervention is reduced.

The application discloses a dynamic binary translation acceleration method, system, medium and product, and comprises the following steps: before executing a target program, an ELF file of the target program is parsed, an external dependent library and function symbol information thereof are extracted, function name and meta information of each function symbol are generated by combining function information in the function library to generate an ELF function symbol information file and are mapped into memory; when external function lookup and calling are performed in the process of binary translation and execution of the target program in a target architecture, hash retrieval is performed on the ELF function symbol information in the memory; according to the function type retrieved, pointer mapping of the function type to a corresponding wrapper function is realized, and according to the encapsulation type retrieved, the address of a local function actually to be executed is acquired to realize actual calling, parameters and returning of the external function. The application aims to reduce the symbol parsing and encapsulation matching overhead in the dynamic translation initialization process and improve the starting efficiency and overall running performance.

This invention discloses a method and system for detecting injection vulnerabilities in Java Web applications, relating to the field of computer network security. To improve the security of Java Web applications, it performs injection vulnerability detection, providing vulnerability detection services for security analysts and testers in the SDLC (Software as a Service) phase. This invention models the generation principle of injection vulnerabilities and constructs a prior knowledge rule base to mark class methods. A breadth-first taint analysis algorithm is used to analyze the Source method, constructing a local function call graph and storing taint propagation information during function calls in this graph. Branch path pruning is performed based on the taint propagation information in the graph, and finally, the injection vulnerability call chain is output by depth-first traversal of the local function call graph. This method significantly improves the efficiency of vulnerability analysis and the vulnerability detection rate.

The embodiment discloses a local function calling system, method, device, medium and program product, wherein the local function calling system is applied to an Electron client, and the local function calling system comprises a main process layer and a rendering process layer; the rendering process layer comprises an MCP adapter; the MCP adapter is used for interacting with an AI application layer; wherein the rendering process layer is used for receiving a first request sent by the AI application layer through the MCP adapter, and sending the first request to the main process layer; the first request is a function list acquisition request or a function calling request; the function list acquisition request is used for acquiring a function list in the main process layer, and the function calling request is used for calling a function in the main process layer; and the main process layer is used for generating first response information based on the first request, and sending the first response information to the rendering process layer.

The invention relates to a vehicle sub-network segment network management method based on direct flag bit mapping, and the method comprises the following steps: responding to a local function demand event, generating a network management message through a corresponding function controller, the data field of the network management message comprising a group of standardized flag bits, the standardized flag bit comprises a basic network segment flag bit used for identifying that a target physical network segment needs to be awakened, a priority flag bit used for representing a function priority, a resource demand flag bit used for quantifying a function resource demand and a collaborative management flag bit used for identifying whether collaborative execution of multiple network segments is needed or not. By defining a four-layer standardized flag bit structure comprising basic network segments, priorities, resource requirements and collaborative management, the hardware cost and upgrading threshold of the system are remarkably reduced, excellent backward compatibility is realized, a complex service-network segment mapping table maintained by the gateway is avoided, and the service performance of the system is improved. And the gateway complexity and the single-point fault risk are fundamentally reduced.

The application discloses a function calling method and device, a vehicle and a storage medium, and relates to the technical field of vehicle-mounted system software. The scheme is applied to a target system, the target system comprises a master process and at least one local function process, and the master process is the only process in the system that interacts with a large language model through a model context protocol server. The method comprises the following steps: receiving a target calling instruction based on a model context protocol sent by the large language model based on the master process; analyzing the instruction to obtain a target function identifier and a calling parameter; forwarding the parsed instruction to the corresponding local function process according to the target function identifier, so that the process executes a function according to the calling parameter. Through centralized and standardized calling management, the scheme improves the response efficiency and scalability of function calling, and reduces the function extension and maintenance cost.