10 results about "Conjunctive query" patented technology

This application discloses a data query method, apparatus, storage medium, and electronic device, relating to the field of big data technology. The method includes: receiving a query task sent by a target object, wherein the query task is a task to query first data in M ​​databases; dividing the query task into N query subtasks through a scheduler, and sending each query subtask to each task executor; executing each query subtask through each task executor, and extracting N second data from the M databases based on M data connectors; and determining the first data based on the N second data. This application solves the problem in related technologies where data from different databases needs to be extracted to a data warehouse using ETL technology, and then a final joint query is performed in the data warehouse, resulting in poor performance of joint queries based on different databases.

The application provides a resource query method and device, electronic equipment and storage medium; the method comprises the following steps: acquiring a query statement, wherein the query statement is used for querying at least one type of resource on a container orchestration platform; a syntax tree structure corresponding to the query statement is constructed, wherein a node in the syntax tree structure is used for representing a clause corresponding to the query statement; the syntax tree structure is converted into at least one application programming interface request; resource data associated with the at least one type of resource is acquired based on the at least one application programming interface request; and aggregation is performed on the resource data to obtain a query result corresponding to the query statement. Through the application, a unified query interface can be provided to access different types of data sources, thereby realizing joint query across resource types, reducing the complexity of resource query, and reducing the use threshold without the need to learn multiple tools.

This application provides a method and system for joint query analysis of multimodal data supporting natural language interaction, relating to the technical field of data query analysis. This application collects historical operation data, audio data, and text data from an intelligent search platform supporting natural language interaction; then models the historical operation data to obtain a user preference vector; processes the audio data through speech recognition and text standardization to obtain standard query data, and integrates it with the text data to form contextual information; then uses an attention-based algorithm for semantic understanding and intent recognition to obtain an intent feature vector, and fuses it with the user preference vector to obtain a classification result; finally, based on this result, a collaborative filtering algorithm is used to query a pre-set multimodal database to obtain joint query results. This enables personalized and accurate querying of multimodal data under natural language interaction, ensuring that the results match user intent and long-term preferences.

The present application relates to network asset positioning technical field, specifically to a kind of risk IP automatic association region, unit positioning method, comprising the following steps, construct large enterprise hierarchical network asset architecture library, and establish the mapping relationship between security monitoring area and network equipment;After capturing network security threat alarm log, risk IP address is extracted and its network attribute is judged;For the risk IP of intranet attribute, based on alarm source equipment, the initial monitoring area is positioned, and recursive association retrieval is executed in architecture library from specific asset to network segment range, from the region of this level to the unit of upper level;For the risk IP of extranet attribute, the joint query of external record information and geographical position is executed.In the present application, by setting security device monitoring area and tree organization architecture association mechanism, the responsibility subject accurate positioning in cross-region IP address multiplexing and non-standard network planning scene is realized, and the hysteresis problem of artificial level-by-level checking alarm information is solved.

The application provides a data query method and device, equipment and medium. The method comprises the following steps: based on a plurality of business data to be queried, a multi-path search balanced lookup tree is constructed according to at least one relational attribute, efficient attribute range query can be realized, the adaptability and query efficiency in different business scenarios are improved, the multi-path search balanced lookup tree can realize dynamic data updating, and the maintenance effect of data query is improved; for each node of the multi-path search balanced lookup tree, a vector index mode used by the node is determined based on the selection degree of the node, the configuration of vector index resources is effectively improved by dynamically constructing the vector index mode, memory waste or performance bottleneck problems caused by uniform vector index are avoided, and the accuracy of data query is improved; through the combined query of the multi-path search balanced lookup tree and the vector index, the performance of data query is improved.

This application relates to the fields of smart livestock farming and agricultural IoT technology, and discloses an intelligent monitoring system for animal diseases in livestock farms based on multi-source information fusion, including sensing device terminals, edge computing nodes, and a management and control server. The edge computing nodes extract multi-source vital sign signal features and output structured parameters to a distributed time-series database for storage. The management and control server has a built-in graph database engine and a system-in-memory routing module. The graph database engine uses directed edges containing time boundary parameters to transform the pathological evolution logic into dynamic time window retrieval constraints, which are then sent to the underlying time-series database for cascading query pushdown. The system-in-memory routing module constructs a high-risk index based on the identifiers of confirmed diseased animals, adding basic data record rows to bypass the conventional baseline scanning path and directly route to the graph database engine to trigger comparison. This invention improves the efficiency of cross-modal joint queries and reduces the amount of underlying data scanning and system processing latency.

This invention discloses a real-time call retrieval method and system based on historical call memory. The method includes: acquiring historical call data of a target customer, extracting call text, performing semantic analysis on the call text to obtain key information corresponding to billing communication; constructing call memory units and multi-type call event indexes based on the key information to store the target customer's call memory; parsing the current-round semantics of the target customer's real-time call, constructing joint query conditions based on the current-round semantics, and outputting the call memory retrieval result based on the joint query conditions; and outputting the call response result based on a preset memory injection mechanism, according to the retrieval result and a dialogue generation model. Therefore, this invention can achieve structured accumulation, accurate retrieval, and controlled injection of key information from historical calls with low response latency, improving the continuity, accuracy, and compliance of billing service communication.

This invention discloses an end-to-end multi-target tracking method and related apparatus based on query bootstrapping enhancement. The method includes: extracting features from current frame image pairs at different resolution scales to obtain feature images; encoding the feature images using feature encoding to obtain feature encoding vectors; enhancing a learnable interpretable query vector using the feature encoding vector and the prediction result of the previous frame image to obtain an enhanced query vector; adding the enhanced query vector to the joint query vector to obtain a final query vector; decoding the feature encoding vector and the final query vector to obtain an output vector; and interpreting the output vector into classification and regression results using a tracking head to obtain the prediction result of the current frame image. This invention achieves the best performance in multi-target tracking to date while relatively reducing computational complexity and the number of parameters.

One or more embodiments of the present specification provide a multi-table joint query method and device, electronic equipment and storage medium. The method is applied to a data warehouse; the data warehouse stores a joint relation tree organized in the form of a multi-way tree; the joint relation tree includes leaf nodes for representing each physical table in a plurality of physical tables participating in multi-party computing, and non-leaf nodes for representing joint operations performed on the physical tables represented by the plurality of leaf nodes connected thereto; the method includes: receiving a query requirement for at least part of the plurality of physical tables, the query requirement indicating at least part of the physical tables and a specified query order; in response to the query requirement, traversing the leaf nodes corresponding to the at least part of the physical tables in the joint relation tree in the specified query order, and performing the joint operation corresponding to the non-leaf node connected to the physical table corresponding to each traversed leaf node on the physical table to obtain a multi-table joint query result.

The embodiment of the application provides a kind of double hand-hinged object pose estimation method and related equipment, belong to computer vision technical field.The method includes: extracting the feature of double hand and object from input image and encoding as joint feature;From global feature, the left hand and right hand position query representing double hand area are predicted and extracted;Interact with double hand position query, generate double hand relative position query representing the relative position relationship of double hand, and combine it with the hand parameter query and object parameter query obtained by mapping into joint query;Using attention masking mechanism, make joint query and joint feature interact, match the most relevant feature information for each query;Finally, the parameters of both hands, the parameters of the object and the hinge angle correction amount are added to obtain the final hinge angle, and the three-dimensional grid of the double hands and the hinged object is output.The application significantly improves the accuracy and rationality of pose estimation by explicitly modeling the correlation between the relative position of the hands and the hinged state of the object.