74results about "Database querying" patented technology

The application relates to the technical field of public security risks, and provides a community public security risk compensation measure generation method and system based on atlas retrieval enhancement generation. The method performs text segmentation and vectorization on obtained domain knowledge data in the field of public security risks, generates knowledge slices in the field of public security risks and corresponding knowledge vectors, and stores the knowledge slices and the knowledge vectors into a vector database; meanwhile, a domain knowledge atlas in the field of community public security risks is constructed, and an index relationship between the domain knowledge atlas and the knowledge vectors is stored in the vector database, so as to construct a domain knowledge base in the field of public security risks; then, a user risk query is analyzed through a large language model, risk elements related to the user risk query are searched in the domain knowledge atlas, and knowledge slices corresponding to the risk elements are searched in the domain knowledge base according to the index relationship, so as to generate public security risk compensation measures corresponding to the user risk query.

The present application relates to an industrial mold part high-precision intelligent retrieval method, belonging to the computer vision and intelligent manufacturing cross technical field, the method obtains the three-dimensional point cloud data of the mold split part to be retrieved, extracts the weighted physical centroid as the reference center and carries out the coordinate origin alignment, then calculates the maximum space Euclidean distance as a single scale factor, scales the point cloud into a unit sphere in proportion, and retains the local assembly proportion without loss. The point cloud input multi-scale feature extraction network extracts point-level features and aggregates into a global feature vector. In the network training stage, the shape scale parameter matrix generated by introducing principal component analysis is used to calculate the difference value, and a penalty term is loaded in the joint loss function. The present application overcomes the deformation distortion caused by the conventional three-axis independent compression, eliminates the interference samples with similar local features but different macroscopic shapes, and improves the retrieval accuracy.

Implementations leverage a generative model (e.g., a large language model (LLM)) to generate a plurality of candidate subqueries for multifaceted natural language (NL) based input, where each of the candidate subqueries is potentially directed to a facet or problem of the multifaceted NL based input. Those implementations further select, from the plurality of candidate subqueries and using one or more evaluation metrics, a subset of the candidate queries. Those implementations further, in response to selecting the subset of the candidate queries, obtain, for each of the candidate subqueries of the selected subset, at least one corresponding search result. Those implementations further generate a response to the NL based input based on the corresponding search results for the candidate subqueries of the subset, and cause the response to be rendered responsive to the NL based input.

The present application relates to the technical field of human-computer interaction, and discloses an interactive interface generation method and system and a vehicle, wherein the present application acquires semantic analysis on multi-modal data, determines user intention, acquires historical interface generation data related to the user intention, and then generates an interactive interface display plan based on the historical interface generation data, the user intention and vehicle context information, calls vehicle-mounted services for execution to receive service data packets returned by each vehicle-mounted service, and finally renders and generates an interactive interface based on the interactive interface display plan and the service data packets, so that the user intention is combined with the historical interface generation data to continuously learn user usage habits, an interface plan and service combination that meet the personalized needs of the user can be quickly generated, and multiple vehicle-mounted service interfaces can be dynamically called based on task planning capability to form an interface calling combination that adapts to current needs.

To provide a data management system of a distributed ledger method that does not bloat a ledger.SOLUTION: A data management system 1 includes a plurality of nodes N. When any of the node N acquires an update request R that instructs updating of a ledger L from an external of the data management system 1, the node N transmits the update request R to another node N. Each of the nodes N transmits, if the updating of the ledger L according to the update request R is impossible, to the other node an update impossible notification X that notifies that, and transmits, if the updating is possible, to the other node N candidate update information V which is a candidate of information for updating the ledger L according to the update request R. Each of the nodes N does not update the ledger L if the number of the update impossible notifications X received from the other node N satisfies a predetermined condition. When updating the ledger L, each of the nodes N updates the ledger L using the candidate update information V which has the maximum pieces of the candidate update information V having the same content among the candidate update information V received from the other nodes N.SELECTED DRAWING: Figure 3

Systems and methods for event tracking are disclosed. In one aspect, a set of venues is generated. A set of events that have occurred at one or more venues in the set of venues may be generated. One aspect includes querying a user media database associated with a user, and extracting metadata from one or more media files in the user media database. A match between at least a portion of the metadata and one or more events from the set of events may be determined. In an aspect, responsive to the determining, an entry in a matched events database corresponding to the match is created. A list of events attended by the user may be prepared. The list of events may include the matched events.

This application relates to an energy knowledge base question answering method and an energy knowledge base question answering device. The method includes: receiving an original question containing a role identifier, and determining a job vocabulary corresponding to the role identifier; splicing the lexical units in the original question that match the job vocabulary to obtain a job-limited text, mapping the job-limited text to a predetermined slot structure to obtain an intent lexical unit group; determining the latest approval node in the energy knowledge base that matches the role identifier and the intent lexical unit group; filtering in the energy knowledge base with the latest approval node to obtain a filtered business segment, matching the intent lexical unit group with the filtered business segment weighted by an approval weight, and obtaining a candidate business segment, where the approval weight is determined according to the level of the approval node corresponding to the filtered business segment; screening out a target business segment from the candidate business segments based on the intent lexical unit group; and generating a reply text based on the target business segment and the intent lexical unit group. Using this method can improve the accuracy of the reply.

A structured query statement similarity detection method, a device and a medium are provided. The method includes: acquiring first and second structured query statements, and constructing corresponding first and second abstract syntax trees, a correlation degree between the root node in the abstract syntax tree and the query result of the statement being higher than a correlation degree between other nodes and the query result of the statement; traversing a node in the first abstract syntax tree, matching the traversed node with a node at a same level in the second abstract syntax tree, and obtaining a matching result of the node; and determining a statement similarity between the first structured query statement and the second structured query statement based on a matching result of a root node in the first abstract syntax tree, a matching result of a child node of the root node, and their corresponding weights.

The application provides a causal knowledge graph driven large model cross-knowledge base autonomous retrieval method and system, and relates to the technical field of data processing. The method introduces a causal knowledge graph as a core navigation mechanism for retrieval and reasoning, enabling intelligent retrieval driven by causality in a complex field knowledge environment; by decomposing complex causal analysis tasks into a series of structured and executable cross-knowledge base retrieval subtasks, a fundamental change from passive information retrieval to active causal discovery is achieved; under this mechanism, the application can not only automatically plan a retrieval path according to causal dependency relationships, but also dynamically coordinate and evidence fuse between multi-source heterogeneous data, thereby forming a logically consistent and time-sequentially reasonable causal explanation chain; the application effectively solves the core technical problems of scattered causal evidence, heterogeneous knowledge sources, and incomplete reasoning chain in complex field information analysis, greatly improving the level of intelligence and the level of retrieval explainability.

This application relates to the field of data processing technology, and discloses a method, apparatus, electronic device, and storage medium for multi-source data fusion analysis. The method includes: acquiring multi-source heterogeneous raw data and classifying it into time-series dynamic stream data and time-series static data; performing time-slicing windowing processing on the time-series dynamic stream data and caching the processed time-series data fragments in a memory acceleration channel; converting the time-series static data into structured multi-dimensional data cubes and performing data cleaning processing, storing the processed multi-dimensional data cubes in a distributed archive repository; and constructing a virtualized metadata directory for the data in the time-series data fragments and the corresponding data in the multi-dimensional data cubes. The virtualized metadata directory records the metadata of the data based on a unified semantic representation, so that data analysis processing can be performed based on the virtualized metadata directory. This approach can improve the scalability of data fusion analysis and reduce maintenance costs.

This application relates to a cross-modal retrieval method and system based on image patches and dual-granularity alignment. The method includes: acquiring image data and text data; performing mapping and global pooling followed by coarse-grained global semantic alignment, calculating self-supervised semantic reconstruction loss, and selecting a set of key image patches while generating a set of redundant image patches; calculating a bidirectional alignment matching score; obtaining a fine-grained semantic alignment loss based on the bidirectional alignment matching score; constructing a retrieval model, iteratively optimizing the retrieval model until convergence is achieved, and outputting the final cross-modal retrieval result. This invention combines coarse-grained global contrastive learning with fine-grained interaction. Global alignment ensures overall semantic consistency, while fine-grained alignment captures rich local details. The two complement each other through joint optimization, effectively solving the problem of single-granularity alignment easily getting trapped in local optima or semantic bias, and significantly improving the accuracy of cross-modal retrieval.

This application provides a method, apparatus, electronic device, and storage medium for storing business data. The method includes: determining a target field value of a related field in a horizontal index table by querying the horizontal index table; querying a vertical index table using the target field value to obtain the storage address of a target data table; and storing the business data to be stored in the target data table pointed to by the storage address. Therefore, this method enables the storage of business data.

The application discloses a kind of mass geophysical prospecting data storage retrieval and drawing method in mobile terminal map under offline state, it includes: (1) mobile terminal geophysical prospecting data is stored using embedded relational database sqlite, and table is respectively built according to project, view level;(2) when map program runs, according to the level of map display, view range, project authority in lower level, retrieve, render data in the data table of corresponding level;In high level range, only render all line data that meet the conditions according to project authority;(3) when user carries out map zooming, moving operation each time, first retrieve operation of geophysical prospecting data is carried out, according to the result of retrieval, drawing is carried out in batch in different layers;(4) the default map range of first opening of map application is controlled.The application can bring very intuitive efficiency improvement to construction planning management, vehicle mobile navigation, efficient production organization of geophysical prospecting project, the prospect is very broad, and it has very important significance.

The application provides a crop high-resistance variety intelligent breeding system and method based on multi-modal phenotype big data. The method comprises the following steps: synchronously acquiring a phenotype physiological sequence of a to-be-selected group in a field habitat and a micro-meteorological sequence including a photosynthetically active radiation flux; monitoring the photosynthetically active radiation flux, when the flux decreases and crosses a preset limit, interrupting a collection operation performed according to the phenotype physiological sequence, and resuming the collection operation after the light returns to be stable; during a stress period, when it is determined that the group approaches a physiological lethal critical point, starting drip irrigation, and connecting a water potential probe array, when a shallow probe reading jumps and a deep layer maintains an extremely dry reading, cutting off the drip irrigation, and constructing a shallow wet area by relying on the infiltration lag characteristics; and screening a target variety in combination with accumulated drought survival days and the phenotype physiological sequence. The application effectively avoids misjudgment caused by light fluctuation, and guarantees the objectivity and continuity of evaluation data on the premise of maintaining a deep layer forced boundary.

Data loss prevention may be applied to data that includes a plurality of records, with each record including a plurality of fields and with each field corresponding to a different one of a plurality of categories. Applying of data loss prevention may include selecting a subset of records, computing, for each category, a likelihood the category contains the sensitive information, selecting a subset of categories based on the computed likelihoods, searching the sensitive information in the selected subset of categories, and in response to detection of sensitive information in at least one of the subset of records, taking one or more data loss prevention related actions. The selected subset of records includes fewer records than the plurality of records, may include a number of non-consecutive records, and the subset of records may be selected such that the records are well distributed within the plurality of records of the data.

A search query can be resolved efficiently using stored key information in a data cache. A system can receive a search query via an application programming interface (API). The search query can comprise a set of query parameters. The system can select at least one interaction event search service. The system can identify a plurality of interaction events relevant to the search query. Each interaction event can include a description and key information used to locate each interaction event. The system can retrieve the key information for each interaction event. The system can store, in a data cache, the key information for each interaction event. Subsequent to retrieving the key information, the system can retrieve, using at least a portion of the key information, descriptions of a first portion of interaction events. Additionally, the system can transmit the descriptions of the first portion of interaction events to the user.

We provide the system. [Solution] A means for receiving image data containing information and extracting location information and time information from said data, A means for organizing the places to visit and the order of visits based on the extracted location and time information, A means for automatically generating a travel record based on the aforementioned places visited and the order of visits, A means of suggesting new places to visit and travel routes based on other publicly available evaluation information, The proposed travel route is evaluated by other users, and a means is provided to calculate a reward based on the evaluation. A system that includes this.

This application discloses a method for constructing a data model, a method for data querying, an apparatus, and a storage medium, relating to the field of data processing technology. The method includes: obtaining field information from a dimensional model and at least two dimensions of a dimension table, where the field information indicates a mapping relationship between at least two dimensions; constructing a full dimensional relationship graph based on the field information, where the field information also indicates the association relationship between each of the at least two dimensions and a fact table; and attaching the fact table to at least one dimension in the full dimensional relationship graph based on the field information, generating a directed acyclic connected graph centered on the fact table as a data model, used to determine the path from the query metric to the fact table based on the query metric and its dimensions. This method can construct a data model based on existing data warehouse construction achievements, thereby determining the path of the query metric in the data warehouse through the data model.

A server (10) connected via a network (20) to one or more machines (30) performing cutting operations, wherein a database (16) shared by the respective machines (30) is stored in the server, the database (16) containing at least processing result information used in steps included in a cutting operation performed by the machine (30), and information on the frequency of use of the processing result information, wherein the frequency of use is the number of machining programs generated based on the processing result information; a processing result information presentation request for presenting processing result information that meets cutting conditions, entered by an operator of the machine (30), is received from the machine (30) when the processing result information presentation request is received.The machining result information, which fulfills the cutting conditions, is extracted from the database (16) and presented to the machine; based on the frequency of use of the machining result information, a machining program is generated based on the machining result information, which is selected by the operator from parts of the machining result information from the machine (30) and presented to the machine (30); the machining result information includes configuration information of the machine (30), a workpiece material, a type of one-step cutting operation included in the cutting operation process, a type of tool used in the cutting operation, a tool material and a tool diameter, a cutting speed during the cutting operation, and a feed rate during the cutting operation.and the cutting conditions include at least one of the machine configuration information, a workpiece material, a type of cutting operation in a step included in the cutting operation process, a type of tool used in the cutting operation, a material of the tool, and a tool diameter.

This invention provides a scientific intelligent agent system and its control method for interdisciplinary scientific research tasks. The system includes: an intent recognition module for parsing the descriptive information of the research task to obtain semantic parsing results; a tool retrieval module for identifying target inference tools from a tool database; a multidisciplinary domain intelligent agent cluster; a planning agent for decomposing the research task according to the task objectives, obtaining multiple sub-tasks, and assigning the target sub-tasks to target discipline domain intelligent agents according to domain type; and a code agent for providing discipline task planning code corresponding to the target sub-tasks, and planning the target sub-tasks in conjunction with the target inference tool and the discipline analysis path corresponding to the target discipline domain intelligent agent to obtain discipline task planning results. The system and control method described in this invention improve the versatility and automated task planning capabilities of scientific intelligent agent systems for complex interdisciplinary scientific research tasks.

This invention relates to the field of artificial intelligence technology and discloses an AI-Agent-based data visualization system, comprising: an AI-Agent module, a visualization chart knowledge base, a data module, a composite message assembly module, and a data visualization module. The visualization chart knowledge base stores metadata for data visualization. The data module executes structured query statements. The AI-Agent performs semantic understanding of natural language, identifies user intent and key entities to generate structured semantic information, parses semantic elements to generate and execute structured query statements, obtains query results from the result set, determines the most suitable visualization chart type for the current query, and generates a text summary. The composite message assembly module combines the query results, visualization chart type, and text summary to form a composite message. The data visualization module dynamically generates charts. Based on the above technical solution, the entire process of semantic understanding, query generation, and chart rendering can be integrated into a single system, improving data analysis efficiency and user experience.

This application discloses a method, computer device, and readable storage medium for intelligent analysis and recommendation of tender documents, belonging to the field of artificial intelligence and natural language processing technology. The method includes the following steps: constructing a knowledge graph based on acquired target content related to tendering and bidding, and calling an embedding model to generate text vectors; storing the knowledge graph in a graph database and the text vectors in a vector database; responding to a user's query request, extracting low-level keywords and high-level keywords based on the query request; wherein the query request carries at least the tender information of the tender project; performing graph vector collaborative retrieval in the graph database and the vector database based on the low-level keywords and the high-level keywords to obtain a multi-source fusion context; and generating a tender recommendation scheme based on the multi-source fusion context. This application can improve the accuracy of tendering and bidding analysis.

This application relates to the field of agricultural production data processing technology, and discloses a method and system for processing efficacy test data of diquat aqueous solution. The method includes: retrieving efficacy test records from a pre-set database, wherein the efficacy test records include unstructured text information such as the geographical location of the application site, the application date, and agricultural notes; querying and retrieving corresponding environmental time reference data from a locally stored meteorological database based on the geographical location information and the application date; identifying application behavior characteristic words based on the agricultural notes; determining the application start time based on the application behavior characteristic words and the environmental time reference data; and converting the observation time information of each efficacy observation data within the same test batch into elapsed time relative to the application start time, using the application start time as a reference. This application can accurately determine the application start time, solving the problem of efficacy evaluation deviation caused by inconsistent time reference points in traditional methods.

Providing anti-monotony construction in a master-planned community (MPC), including: generating a database based on geospatial information of the master-planned community, the database comprising identification of streets, lots disposed on sides of the streets, and neighbor lots disposed on one or more sides of each of the lots; requesting construction of a new home In the MPC, the request including details of selectable lots and specifications; processing the request against a rule associated with diversity of the details of the specification from details of lots identified as consecutive neighbors on one or more sides, the one or more sides and the details of the lots considered being identified in rule; and generating a status of approval or denial of the request based on whether at least one of the specification details matches at least one of the details of the lots identified as being consecutive neighbors.

This invention relates to a multi-system sharding interaction method and system based on a two-layer index. It establishes a first index layer based on a first information primary key and a second index layer based on a second information primary key, and performs retrieval operations based on the search value. By establishing a relatively independent two-layer index relationship, the information primary key of the system can be obtained with only one additional search. This satisfies the basic requirement of index distribution while allowing upstream and downstream systems to still support different sharding rules based on their own business characteristics and to store their own different sharding information primary keys. Furthermore, modifications to specific information primary keys only require targeted modifications in the downstream system without adjusting the corresponding upstream system, thus decoupling the search between primary keys of different information systems.

In various examples, an exploratory data analytics tool obtains a natural language query and generates a structured data query for execution on a sample of a dataset based on the natural language query. In an example, an intent is determined for the query and the intent is used, at least in part, to determine the most appropriate sample. In addition, the intent, in some examples, is used to generate recommended queries. A user interface of the exploratory data analytics tool, for example, can display the recommended queries and / or the results of the structured data query on the sample.