21 results about "Context acquisition" patented technology

The embodiment of the invention provides a task processing method, device and equipment for a multi-agent system. According to the scheme, the system comprises a planning agent, an execution agent, a context injection module and a memory storage module; wherein when a planning agent needs to perform task planning for a user request, a context acquisition request is sent to the context injection module, and the context acquisition request comprises task description information of the user request; afterwards, the context injection module responds to the context acquisition request and acquires a planning context related to the task planning from a memory storage module based on the task description information, and the memory storage module stores historical data generated when each agent in the multi-agent system executes a historical task; afterwards, the planning agent receives the planning context, and generates a calling instruction for calling the execution agent based on the task description information and the planning context;

The invention relates to the technical field of graphical user interface generation and rendering, in particular to a multi-terminal-oriented industrial configuration picture self-adaptive presentation system and method, and the system comprises a picture semantic analysis unit, a terminal context acquisition unit, a self-adaptive layout calculation unit and a picture reconstruction and rendering unit. The method comprises the following steps: analyzing an original industrial configuration picture, and generating a picture semantic structure tree containing graphic element attributes and association relationships; collecting target terminal screen parameters, types and interaction modes to form terminal context information; in combination with a preset adaptive rule, calculating an optimal display attribute of the element to generate a layout scheme; and reconstructing the graphic elements according to the scheme and performing layered rendering display. According to the method, multi-terminal precise adaptation of one set of original images is realized, core elements are highlighted, interaction and display effects are optimized, the cost is reduced, the industrial operation efficiency and safety are guaranteed, and the method is suitable for industrial monitoring and control scenes.

The invention discloses a context information management method and device, equipment, a medium and a program product, and relates to the technical field of data processing, and the method comprises the steps that a first component command is acquired, and the first component command carries a collection range of context information; the execution of the context component is triggered based on the first component command to obtain a first vector library, the first vector library is in one-to-one correspondence with the context type of the context information, and the context component is configured to be provided with a context acquisition module, a context processing module, a context storage module and a context retrieval module; the context storage module is used for storing the processed context information based on the context type of the processed context information, the context retrieval module is used for providing a retrieval tool aiming at the first vector library, and the retrieval tool is configured to be provided for the context processing module to call or provide a first object call of a first component command. According to the method, the context information in the first vector library can be efficiently and accurately obtained.

The present invention relates to a method for extracting roads from high-resolution remote sensing images based on MPResNet, belonging to the technical field of remote sensing image processing. This method employs an improved MPResNet model, which uses RestNet34 as the network encoder to ensure network depth and robustness. A feature extraction structure based on multi-scale context acquisition is used to extract semantic features in different scenarios. A spatial attention mechanism that fuses channel representations is introduced to calculate sample attention weights at the spatial and channel levels. In the decoder, dense upsampling at different magnifications replaces the original bilinear interpolation, significantly reducing computational complexity while ensuring accuracy.

The invention discloses a multi-dimensional physiological signal monitoring system for mental stress of nursing personnel. The system comprises a signal acquisition module, a context acquisition module, a processing analysis module and an output module. The signal acquisition module is used for acquiring multi-dimensional physiological data such as an electrocardiosignal, a motion signal and an environment signal of a nurse in real time; the context acquisition module acquires a clinical operation log from a hospital information system; the processing analysis module is used for distinguishing psychological pressure from physiological interference through a multi-modal signal fusion filtering technology, intelligently associating an effective pressure event with clinical operation and determining the context of a pressure source; and the output module is used for generating a personalized pressure analysis report and a management instrument panel containing the clinical work context. The problems that in the prior art, pressure monitoring specificity is poor, and a pressure source is unknown are solved, accurate monitoring and intelligent source tracing of the psychological pressure of nursing personnel in a real clinical environment are achieved, and a scientific basis is provided for individual pressure management and organization health intervention.

The invention provides a method, a component, equipment and a system for supporting context acquisition for seamless roaming. Some aspects are more particularly directed to spatially segmenting packet numbers (PNs) into subsets that are dynamically assigned to access points (APs) associated with stations (STAs). In some implementations, a first wireless device, such as an STA, may communicate with a second wireless device, such as a serving AP, using a first subset of user data context parameters, such as a group or segment of PNs, corresponding to a first index assigned to the second wireless device. For example, if the first wireless device decides to roam to a third wireless device, such as a target AP, the first wireless device may transmit one or more packets to the third wireless device using a second subset of user data context parameters assigned to the third wireless device.

This invention relates to the field of graphical user interface generation and rendering technology, and more particularly to an adaptive presentation system and method for industrial configuration screens across multiple terminals. The system includes a screen semantic parsing unit, a terminal context acquisition unit, an adaptive layout calculation unit, and a screen reconstruction and rendering unit. The method involves parsing the original industrial configuration screen to generate a screen semantic structure tree containing graphic element attributes and their relationships; collecting target terminal screen parameters, types, and interaction modes to form terminal context information; calculating the optimal display attributes of elements and generating a layout scheme based on preset adaptive rules; and reconstructing the graphic elements according to the scheme and rendering them in layers. This invention achieves accurate adaptation of a single original screen across multiple terminals, highlighting core elements, optimizing interaction and display effects, reducing costs, and ensuring industrial operation efficiency and safety. It is suitable for industrial monitoring and control scenarios.

We provide biometric authentication devices that maintain convenience while minimizing costs and the increase in acceptance of false information. [Solution] A biometric authentication device comprising: an information acquisition unit that acquires biometric information of a person to be authenticated; a biometric authentication unit that performs biometric authentication using the biometric information; a context acquisition unit that acquires context other than biometric information; an impersonation determination unit that determines whether a person is engaging in impersonation based on a threshold; and an adjustment unit that adjusts the threshold based on the acquired context.

This invention relates to a method and system for automatically generating prompts for agents in a PLM system. The method includes: upon receiving a prompt generation task from a user, constructing a structured field-level context based on key fields of the current page; identifying the current business scenario and loading an agent task flow matching the current business scenario; multiple agents are configured for different functions, and the agent task flow consists of the agents to be called and the execution order between them; generating instructions based on the field dimensions of the business scenario, agents, and field-level context, combined with context information, and inputting the instructions into the agent task flow to generate prompts; by constructing a unified field context acquisition and prompt template instantiation mechanism, driving multiple domain agents to work collaboratively according to business scenarios, significantly improving the business accuracy, technical depth, and overall efficiency of agents in scenarios such as engineering changes and quality analysis.

This application relates to the technical field of stateless agent architecture, and discloses a method for stateless agent adaptation based on external protocols and zero-memory configuration. The method includes: configuring zero-memory runtime parameters for a selected agent framework, disabling all internal dialogue history storage and state caching functions, and registering external context acquisition services as functional tools in a native framework manner to replace built-in memory; injecting standardized system prompts containing stateless interaction constraints, external context invocation rules, and tool usage specifications to limit the execution logic of stateless agent interactions; parsing standardized service description files based on the Model Context Protocol, generating corresponding tool objects according to the agent framework, and registering them to the available tool list to achieve standardized invocation of external services by the agent. This application can achieve efficient horizontal scaling and fault tolerance in distributed deployment scenarios.

The present application belongs to the technical field of communications. Disclosed are a context acquisition method and apparatus, a communication device and a readable storage medium. The context acquisition method in the embodiments of the present application comprises: a first communication device acquiring an identifier of a first session, wherein the first communication device is a device in which a first network and a second network are co-located, and the first session is a session to be transferred in the first network; acquiring the context of the first session on the basis of the identifier of the first session; and generating the context of a second session on the basis of the context of the first session, wherein the second session is a session in the second network that corresponds to the first session.

This invention discloses a repository-level code generation method, device, and medium based on a large model and local dependency graphs. The method includes: initializing the set of entry functions for the inference chain based on the signature of the target function and the code repository; dynamically expanding the local dependency graph through multi-hop inference to obtain structural dependency context information; simultaneously calculating the similarity between the signatures of the functions and the target function using a pre-trained embedding model, and using the function with the highest semantic similarity to the target function as semantic similarity context information; finally, merging and deduplicating the structural dependency context information and the semantic similarity context information, and inputting it into a large language model to generate the target function implementation code. This invention reduces the cost of dependency graph construction and maintenance by dynamically constructing the local dependency graph; and improves the accuracy and flexibility of context acquisition by combining dependency inference and similarity retrieval, reducing reliance on manually designed retrieval rules, thereby improving the efficiency and accuracy of repository-level code generation.

This invention relates to the field of large language model technology and discloses a large model contextual semantic retrieval method based on knowledge graphs, including the following steps: entity and intent extraction, vectorized knowledge retrieval, KG subgraph query construction, multi-source database SQL transformation and context acquisition, and final prompt construction and knowledge question answering. This invention constructs a deep alignment representation of structured and natural language, transforming the discrete structure representation of the knowledge graph into a continuous vector representation through a graph embedding model, achieving unification with the vector representation system of the large language model. Simultaneously, it vectorizes the entities and intents of the user query and performs similarity matching, realizing semantic soft alignment between KG triples and natural language queries. This enables the large language model to perceive the topological structure and semantic constraints of the knowledge graph, reducing reliance on statistical associations and significantly reducing factual errors.

The application discloses a data transmission method and device, wherein the method comprises the following steps: receiving configuration information sent by a first access network device, the configuration information being used for configuring a terminal device to report indication information to a target access network device; and sending the indication information to the target access network device according to the configuration information, wherein the indication information comprises performing context acquisition, or not performing context acquisition, or performing relocation, or not performing relocation, or quickly completing data transmission. Through the method, the efficiency of data transmission can be improved.

A search sentence acquisition unit (101) acquires a search sentence (501). A context acquisition unit (102) acquires a plurality of contexts (502) and an evaluation index (503) for each context by a search using the search sentence. A grouping unit (103) groups the plurality of contexts into a plurality of groups in descending order of evaluation indices. A negative example acquisition unit (104) selects one of the groups from within the range of a prescribed upper limit and a prescribed lower limit in the descending order of evaluation indices, and generates an inquiry sentence (505) to a language model (112) by using the search sentence and a context belonging to the selected group. The negative example acquisition unit (104) inputs the inquiry sentence to the language model (112) and acquires a response sentence (506) to the inquiry sentence from the language model (112). A management unit (105) manages the search sentence and the response sentence in association with each other.

This information processing device comprises: a context acquisition unit that acquires, on the basis of the contents of a dialog between a user and a non-player character (NPC) in a virtual space, context information indicating the context of the dialog; and a generation unit that generates, on the basis of the context information and a sense-of-value segment that is information indicating the sense of value of the user, generation information for generating an utterance sentence by the NPC for recommending, to the user, a product and a service (product or the like) designated for recommendation to the user.

The application discloses a context acquisition method and device, communication equipment and a readable storage medium, and belongs to the technical field of communication. The context acquisition method of the application comprises the following steps: a first communication device acquires the identification of a first session; wherein the first communication device is a device combined by a first network and a second network, and the first session is a session to be transferred in the first network; the context of the first session is acquired according to the identification of the first session; the context of a second session is generated according to the context of the first session; and the second session is a session corresponding to the first session in the second network.

This invention belongs to the field of natural language processing and artificial intelligence technology, and discloses a method and apparatus for generating domain technology trees based on large-scale model knowledge reasoning. The method includes: retrieving domain technology keywords from the internet and / or domain knowledge bases; obtaining and constructing instructions using candidate search content and domain technology keywords; calling a domain large-scale model to judge the relevance between the candidate search content and technology keywords in the instructions; obtaining and constructing instructions using high-value candidate search content and domain technology keywords; calling the domain large-scale model to extract domain technology triples from the instructions; and generating a domain technology tree using the extracted domain technology triples. By leveraging the powerful domain knowledge background of the domain large-scale model, in-depth analysis of key technologies and their downstream industrial chains is conducted, while simultaneously uncovering downstream and dependent technologies of key technologies. This effectively improves the completeness and accuracy of key technology context acquisition and significantly reduces the difficulty of obtaining key technology information.

The application discloses a multi-round dialogue method, device and equipment, and a computer program product. The method comprises the following steps: obtaining user input information and performing scene recognition to obtain a scene recognition result; matching a corresponding target multi-round dialogue strategy and a target context acquisition strategy according to the scene recognition result; acquiring context information from the historical record of the current dialogue according to the target context strategy; and responding to the user input information and the context information by using the target multi-round dialogue strategy and a preset dialogue model to output a response result. Through the "scene-driven strategy" mechanism, the application realizes fine and dynamic management of the multi-round dialogue, ensures high consistency of the dialogue process and the business logic, avoids the insufficient adaptability of the traditional single strategy to complex scenes, reduces noise interference, improves the accuracy of intent understanding and slot filling, avoids unnecessary search and calculation in the full historical record, and improves the efficiency of the dialogue question and answer.

The invention provides a communication method, communication equipment and a communication system, and relates to the technical field of communication. The method comprises the following steps: a first node at an NTN side sends first information to a second node; wherein the first information is used for transmitting context information of the terminal. The context information of the terminal is stored in the node of the ground network, the terminal in the RRCINACTIVE state under the coverage of a non-GEO satellite is supported to be recovered to the RRCCONNECTED state, the process that the terminal initiates RNA is reduced, and the frequent terminal context acquisition process is avoided.