67 results about "Database graph" patented technology

The invention discloses an image retrieval method and a medium, and the method comprises the following steps: obtaining a to-be-retrieved image, and carrying out the feature extraction of the to-be-retrieved image, so as to obtain a depth feature map corresponding to the to-be-retrieved image; performing weighting processing on each channel of the depth feature map to generate a weighted feature map; extracting local features and global features of the weighted feature map, and performing feature fusion based on the local features and the global features to generate fused features; calculating a to-be-retrieved hash code corresponding to the fusion feature based on a hash-guided measurement loss method; and calculating the similarity between the to-be-retrieved image and the database image based on the to-be-retrieved hash code and the database image hash code, and determining a target image according to the similarity. Loss of important semantic information in the binaryzation process can be effectively prevented, and then the image retrieval precision is improved.

The invention relates to the field of data processing, in particular to a scientific and technological achievement data batch arrangement method based on OCR and semantic processing. Comprising the following steps: scanning paper scientific and technological achievements to obtain an archive image; preprocessing and segmenting the archive image, and converting the archive image into a digital document; extracting corresponding metadata from the digital document; storing the digital document and the corresponding metadata into a database as a paper scientific and technological achievement in a structured data form; generating a knowledge graph according to the digital document and the corresponding metadata, and storing the knowledge graph in a graph database in a knowledge graph form; storing the original scanning copy of the paper scientific and technological achievement into the storage object; correlating the contents of the same paper scientific and technological achievements in the database, the graph database and the object storage. Through the multi-mode OCR recognition, dynamic semantic annotation, intelligent data analysis and knowledge fusion technology, full-process automation of scientific and technological achievement data from collection, processing to storage is achieved.

The invention discloses a structured query statement generation method and device, equipment and a storage medium, belongs to the field of data processing, and can accurately generate SQL statements according to natural statements. The method comprises the steps of obtaining a to-be-generated statement, and determining intention information in the to-be-generated statement; based on a preset sub-graph determination rule, determining a first sub-graph structure corresponding to the intention information in a preset database graph structure, the database graph structure being formed based on a plurality of first graph nodes and an association relationship between the first graph nodes, and the first graph nodes being determined based on structure information of a plurality of associated databases; a plurality of preset second graph structures are obtained, the second graph structures with the structural similarity with the first sub-graph structures larger than a first threshold value are determined as third graph structures, and different second graph structures are generated based on different types of preset SQL statements; and determining statement generation parameters in the first sub-graph structure based on the third graph structure, so as to generate a target SQL statement based on the statement generation parameters.

The invention relates to the technical field of computer vision and geographic information, and particularly discloses a cross-view geographic positioning acceleration method based on semantic description, which comprises the following steps of: performing instruction fine tuning on an input query image and a database image by adopting a visual language model to generate natural language description; coding the natural language description into a low-dimensional semantic vector by utilizing a word embedding model; constructing a semantic keyword association graph based on a graph embedding technology, and fusing a general semantic knowledge base and a geographic domain ontology to construct a surface feature special semantic tree; screening candidate subsets according to a preset ground feature priority and a saliency detection result of the query image; extracting global features and local key point descriptors of the images in the candidate subsets by adopting a lightweight model; constructing a visual similarity calculation model based on the state space model, and modeling a feature sequence dependency relationship; and fusing the semantic matching score and the visual similarity, outputting a final matching result by adopting a weighted sorting strategy, and cooperatively accelerating according to the matching result in combination with a lightweight model.

The invention discloses a Text2SQL (Structured Query Language) training and reasoning method based on structured database atlas enhancement, electronic equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: receiving a natural language query request input by a user; splicing a natural language query request input by a user and the map enhancement representation corresponding to the target database into an input sequence, and inputting the input sequence into the trained large language model to generate a group of candidate SQL query statements; performing semantic consistency verification and grammar legality verification on the candidate SQL query statements to obtain final SQL query statements passing verification; and submitting the final SQL query statement to the target database for execution to obtain an execution result.

The present invention provides a multi-dimensional feature selection method based on deep learning. This method learns general features of images through an Inception deep learning model and a feature dimension random truncation model, stores the general features of database images, and selects the feature dimensions of a query image through a carefully designed feature dimension selection model, and queries in the database based on this dimension, so as to reduce the time required for querying.

The invention provides a full-link management method and device for business data, and the method comprises the steps: collecting first metadata covering the whole process of a target business, the first metadata comprising at least one type of metadata; storing the first metadata into a relational database; a matched target analysis logic is determined according to the type of the first metadata, the target analysis logic is called to analyze the first metadata, the blood relationship among the metadata is obtained, and the target analysis logic comprises at least one of SQL statement analysis logic, ETL script analysis logic, API interface analysis logic and exchange operation analysis logic; constructing a corresponding blood relationship map in a map database in a layering manner based on the blood relationship among the metadata, and storing the blood relationship map; and in response to the change of the structure of the second metadata, searching a blood relationship link related to the change in the relational database and the graph database so as to trace and obtain all nodes influenced by the change.

The application belongs to the technical field of computers and discloses a general metadata operation method and system based on a graph database, which comprises the following steps: S1, using a configuration file yml of SpringBoot to configure to create a connection pool SessionPool of a NebulaGraph Database graph database based on a NebulaPool custom implementation, containing definitions of maxCountSession, minCountSession, hostAndPort, userName and passWord parameters; S2, defining parameter models for accepting different interfaces, including a model for creating a graph space, a model for creating a point, a model for creating an edge, a model for creating an index and a general query model; S3, using an independently developed NebulaUtil tool to automatically arrange nGQL statements for the accepted parameter models according to the input models; S4, defining different Controller layers to provide an open and unified Api interface externally; S5, using an execution service of a GraphCommonService graph database to obtain an effective connection of the NebulaGraph Database graph database from the SessionPool; and S6, executing the nGQL statements automatically arranged by the NebulaUtil tool and analyzing and returning a result model, and uniformly returning the result.

The application discloses a kind of multi-modal information comprehensive retrieval street view image positioning method and system, by establishing multi-modal information database, using visual feature extraction model and scene text recognition model establish multi-modal information database;By fusion feature retrieval, global feature and local feature are fused and preliminary recall search is carried out;By geometric verification rearrangement, the geometric verification algorithm based on local feature is used to rearrange preliminary recall search result, and obtain refined retrieval result;By scene text retrieval, the scene text set overlap degree of query picture and database picture is calculated, and the final retrieval result is obtained based on this score ranking. The application considers the comprehensive retrieval scheme of multi-modal information, can greatly improve the image positioning accuracy in practical application, and to a certain extent, solves the complete positioning failure problem of single modal information in some scenes.

1. Name of the product of this design: Electronic device with wing-shaped database graphical user interface. 2. Purpose of this design product: an electronic device. 3. The key design point of this design product lies in the graphical user interface content on the screen. 4. The picture or photo that best illustrates the key points of the design: main view. 5. Purpose of the graphical user interface: The graphical user interface of this appearance design is a display interface for airfoil selection in wind turbine modeling and simulation calculations; the main view interface is the initial interface; in the main view interface, when you hover the mouse over the third icon from the upper right corner of the interface, the name of the icon "Airfoil Database" will be displayed, as shown in the interface change state diagram 1; after clicking the "Airfoil Database" icon in the interface change state diagram 1, the "Airfoil Database" pop-up window will pop up, as shown in the interface change state diagram 2; in the interface change state diagram 2, click on one of the airfoils in the "Airfoil Database" pop-up window and click the "View Aerodynamic Characteristics" icon, the "Airfoil Database - Aerodynamic Characteristics" pop-up window will pop up, as shown in the interface change state diagram 3; click the close button in the upper right corner of the "Airfoil Database - Aerodynamic Characteristics" pop-up window to return to the main view interface.

The present invention discloses a design method and device for an agricultural cultural heritage landscape space database. The method includes the steps of: adopting an object-oriented landscape gene classification mode to define multiple landscape categories and category elements under each landscape category; dividing the agricultural cultural heritage landscape data into spatial data and non-spatial data, and defining corresponding data storage types; digitizing various category elements; establishing an E-R diagram; establishing multiple database layers representing spatial data; constructing a physical model of the agricultural cultural heritage landscape space database, and its data layer is provided with a basic ground object information database and an agricultural cultural heritage landscape special database. The present invention can solve the problems existing in the prior art, such as the inability to conduct systematic dynamic monitoring and management, data systematic analysis, scientific planning and design, etc. for agricultural heritage landscapes.

The application provides a multi-source spatial data topology consistency automatic processing method for quick update of a vector database, and belongs to the field of topology relation checking. The method comprises the following steps: pre-processing a fusion data layer graph spot, processing the topology consistency of the fusion data layer graph spot and a basic database graph spot, and post-processing the fusion data layer graph spot; setting a topology consistency processing threshold value of the fusion data layer graph spot and the basic database graph spot, and obtaining a processing result according to the processing. The application uses an R-tree spatial index method to search for geometric graph spots with common points, common edges or overlaps, so that the accuracy is not sacrificed while meeting the quick search. The application processes and aligns the boundaries of points, lines and surfaces of the geometric graph spots in all directions, and has high correction accuracy and high speed.

The invention discloses a cross-platform data fusion method in the field of cross-border trade, and the method specifically comprises the following steps: A1, constructing three types of data storage modes of a modular trusted data middle table, a support relational database, a graph database and a block chain, and relates to the technical field of data processing. According to the cross-platform data fusion method in the cross-border trade field, by constructing a modular data platform and integrating a relational database, a graph database and block chain storage, the problem of unified storage and management of multi-source heterogeneous data in cross-border trade is effectively solved. Based on a micro-service architecture and a unified data access layer, flexible deployment of an algorithm module and efficient access of multiple data sources are realized, and the automation level of data fusion processing and the system flexibility are remarkably improved. Through the introduction of the block chain credible mutual recognition system, the authenticity, traceability and non-tampering performance in the cross-border data sharing process are ensured, a credible foundation is laid for multi-party cooperation, and the credibility of the platform is greatly enhanced.

The invention discloses a semiconductor equipment part shipment report generation method and system based on a serial number, and relates to the technical field of intelligent manufacturing, image information, helium detection information, granularity information, size detection information and order information are collected in real time through a data acquisition module which runs through a whole production process, and the information is packaged into a reference data set after integrity verification; a unique serial number is generated by fusing the customer identifier, the material number and the completion timestamp with the UUID, the unique serial number is bound with the reference data set and stored in a shipment database as a key value record, and an image link points to an independent file server; according to a client identifier, a template library is intelligently matched, a corresponding field is dynamically extracted, an image and a detection result are automatically embedded, a multi-language visual shipment report is generated according to needs, a storage path is returned, single-piece-level data tracing, quality inspection closed loop and personalized report second-level output are achieved, and delivery transparency and client satisfaction are improved.

To provide an image retrieval system and method with high retrieval accuracy.SOLUTION: The database has a function of storing a plurality of pieces of database image data, and a database tag is associated with each of the plurality of pieces of database image data. The processing unit has a function of acquiring database image feature amount data representing a feature amount of database image data for each piece of database image data, a function of acquiring query image feature amount data representing a feature amount of query image data, a function of calculating a first degree of similarity that is a degree of similarity of the database image data to the query image data for each piece of database image data, and a function of acquiring a query tag that is a tag associated with the query image data using a part of the database tag.SELECTED DRAWING: Figure 11

The invention relates to a source tracing method and system for a fire site and a fire point, and a storage medium, and belongs to the technical field of information source tracing based on space correlation and fire scene trace image intelligent analysis. Comprising the following steps: data acquisition and database construction, and standardized processing and tagged management are carried out; extracting fire scene trace features in a three-dimensional space, wherein the fire scene trace features comprise spreading direction trace feature extraction, fire site local feature extraction and fire point local trace feature extraction; constructing a mapping model from a three-dimensional space to a two-dimensional image, and establishing a cross-modal feature correlation model; carrying out machine learning analysis, training a large amount of collected fire scene data and laboratory simulation data by using a deep learning algorithm, comparing a scene image with a database image, calculating the similarity and judging the position of a fire point; and model optimization and dynamic learning: through a dynamic incremental learning mechanism, continuously introducing new data, optimizing model performance, and improving accuracy and generalization ability. According to the invention, the scientificity and accuracy of fire investigation are greatly improved.

The application discloses a kind of customer relationship audit analysis method and system based on graph database, and heterogeneous data is synchronized by distributed lock, customer, account is converted into graph node, and is converted into relationship edge such as fund transfer, legal person, mobile phone association, and dynamic construction customer relationship graph model;Adopt relational database+graph database hybrid storage, utilize KCore, shortest path, community discovery and other graph algorithms to complete depth audit analysis;With JSON / Schemaless dynamic structure storage result, without modifying database table structure, can extend audit dimension;With standardization interface and visual interaction realize with audit business platform depth integration.The application can significantly improve the efficiency of complex relationship query under large-scale customer data, guarantee data consistency, enhance system scalability, reduce audit operation threshold, and be suitable for bank customer relationship audit, anti-money laundering investigation, associated transaction identification, risk penetration verification scene.

Embodiments of the present application relate to systems and methods of inspecting reticles using machine learning. Near-field reticle images are generated via a deep learning process based on reticle database images generated from a design database, and far-field reticle images at an image plane of an inspection system are simulated via a physics-based process based on the near-field reticle images. The deep learning process includes training a deep learning model based on minimizing differences between the far-field reticle images and a plurality of corresponding training reticle images acquired by imaging training reticles fabricated from the design database. Test regions of test reticles fabricated from the design database are inspected for defects via a die-to-database process that includes comparing a plurality of reference images from reference far-field reticle images to a plurality of test images acquired by the inspection system from the test reticles. The reference far-field reticle images are simulated based on reference near-field reticle images generated by the trained deep learning model.

The invention discloses a personnel re-recognition system and method based on attitude guide generation and reasoning stage enhanced retrieval, and the method comprises the steps: carrying out the retrieval of a query image, selecting the first k results with the highest cosine similarity from a database image, and selecting m reference images based on the identity recognition accuracy; performing attitude extraction on the reference image; pixel features and attitude features are extracted and fused to obtain an attitude normalized generated image; identifying identity consistency of the generated image and the query image and attitude consistency of the generated image and the reference image; and in a reasoning stage, combining the query image with the generated image set, performing feature matching, and calculating weighted cosine similarity to obtain a retrieval-enhanced personnel re-identification task sorting result. According to the method, the target attitude is extracted by using the reference image in the reasoning stage, the generated image with the normalized attitude is guided to be obtained, and the query image and the generated image are combined for retrieval, so that the personnel re-recognition performance is improved.

The present invention discloses a scatter plot rendering method and system based on non-sampling big data, and the method comprises: a front-end browser initiates a rendering request to an RPC gateway according to a scatter plot type selected by a user; the RPC gateway routes the rendering request to a corresponding business system; the business system optimizes data of a relational database, records optimized filtering conditions and optimized data; the business system loads a data analysis strategy, obtains a script of a database query language in combination with configuration parameters of a set of data obtained after optimization, and transmits the script to the front-end browser via the RPC gateway after processing; the front-end browser grammar analyzes the processed script, and forwards the processed script to a proxy gateway for verification; the proxy gateway splices the processed script and converts it into a new HTTP request and sends it to a ClickHouse database; an image rendering component stores the data of the ClickHouse database returned by the proxy gateway; and a rendered image is obtained.

The invention belongs to the field of fabric retrieval methods, and relates to a fabric retrieval method based on image masking and repairing characterization, which comprises the following steps: establishing a fabric image retrieval database; designing an image masking mode to pre-process the fabric image; constructing a fabric image masking and repairing model; training a fabric image masking and repairing model; carrying out image characterization by utilizing the fabric image masking and repairing model, and obtaining features of the to-be-retrieved image and the database image; and measuring the obtained features of the to-be-queried image and the features of the images in the database image by using a similarity measurement method, and outputting a retrieval result according to the similarity for guiding fabric design. According to the method, the overall structure and texture of the image can be automatically understood for representation, manual design of an image feature extractor is avoided, high retrieval precision and efficiency are achieved, the method can be widely applied to the fields of related weaving enterprises, e-commerce shopping and the like, and a user is helped to quickly query needed fabric products.

The invention relates to the field of fault detection, in particular to a radar system troubleshooting process generation method and system based on a large model. The method comprises the following steps: S1, picture extraction; s2, fault tree picture recognition and structured conversion; s3, troubleshooting guide picture recognition and structured conversion; s4, obtaining a mapping relation between the fault tree and the troubleshooting process; s5, constructing a fault knowledge database; and S6, performing fault retrieval and troubleshooting guidance. The system comprises a fault knowledge database, a picture extraction module, a fault tree picture extraction module, a troubleshooting guide picture extraction module, a mapping module and a fault retrieval and troubleshooting guide module. According to the method, the fault knowledge database of the radar system is constructed, so that the matched troubleshooting process can be quickly and accurately positioned; a natural language processing and semantic understanding technology is realized by means of a large model; and the next troubleshooting measure is automatically selected according to the detection result in the troubleshooting process, so that intelligent promotion and optimization of the troubleshooting process are realized.

The invention provides an agent-based medication question and answer management method, system and equipment, and the method comprises the steps: disassembling a demand according to demand basic information inputted by a user; based on a visual arrangement tool, creating a workflow which comprises an intention recognition node, a database interaction node and a large language model generation answer node; the method comprises the following steps of: standardizing a medicine specification and a user health file by utilizing a database tool, defining a workflow node data calling dynamic calling logic, preferentially calling database data, and triggering large model reasoning when the data is insufficient; large language model texts, voices and database pictures are utilized, and the intelligent agent API is connected with the interaction layer to output question and answer results. The answer is output in a question and answer mode, meanwhile, medicine consultation service, medicine reminding and medicine deadline management are provided for family users in combination with existing information of the database and large model reasoning, the situation that the medicine is still used after expiration is avoided, and the method has the advantages of being easy to operate, intelligent and convenient to use.

The invention provides a code generation method and device, equipment, a medium and a program product. Relates to the technical field of code generation. The method comprises the steps of performing code generation processing on an obtained page image based on a pre-constructed code generation system to obtain a page code output by the code generation system; the code generation system comprises an image segmentation model, an image retrieval model, a code generation model and a component code database; the image segmentation model is used for obtaining a plurality of component images contained in the page image and a hierarchical relationship among the component images; the image retrieval model is used for obtaining component code snippets of the component images based on the component code database; and the code generation model is used for generating a page code corresponding to the page image according to the component code snippets of the component images and the hierarchical relationship between the component images. According to the method, the technical problem of low development efficiency in an existing code generation scheme is solved.

This invention relates to the field of information retrieval, specifically to a database query method based on a graph structure. The method includes collecting all data tables in the database, multiple query statement-data table pairs, and establishing an enterprise knowledge base; modeling a database graph structure based on all data tables; enhancing the input natural language query using RAG to obtain an enhanced query statement; selecting initial nodes from the graph structure based on the enhanced query statement and completing graph initial node matching; generating a target node set based on each initial node; generating an SQL statement corresponding to the enhanced query statement based on the target node set to achieve SQL statement conversion; and executing the SQL statement to query the database and obtain the query results. Existing NL2SQL suffers from insufficient semantic understanding and poor interpretability. The database query method based on a graph structure provided by this invention has better semantic understanding and interpretability.

The present invention relates to the field of computer vision, in particular to a method and device for road vehicle recognition based on drone aerial images. Aiming at the problem that unified object detection models cannot be used due to excessive differences in target scales in images collected by drones at different heights, the present invention adopts the idea of dividing large into small. According to the multiple relationship between the target scale in the dataset to be detected and the target scale domain of the detection model, the large image is regularly divided into small images, so that the size of the vehicle to be recognized is controlled within a suitable range, and then the results are merged and de-duplicated to obtain the final detection result. The present invention effectively solves the problem of the relative sizes of the image and the key object in the image, and is also beneficial to improving the overall recognition accuracy and the generalization of the algorithm to different scenarios, and can adapt to the processing of drone aerial images at different heights. At the same time, the method of the present invention also reduces the requirement for the number of database pictures in the model construction process.

The present application provides a design assistance device, a design assistance system, a design assistance method, and a storage medium that can assist a design service. The design assistance device refers to a database in which a graph configuration is stored. The graph configuration includes a specification item indicating a specification of a product, a unit item indicating a unit included in the product, a first item associated with a system simulation model indicating a relationship between an input and an output in the unit, and a second item associated with a three-dimensional model indicating a three-dimensional shape of the unit. The design assistance device further sends a first notification to a first processing device associated with the first item when the three-dimensional model is updated. The design assistance device further sends a second notification to a second processing device associated with the second item when the system simulation model is updated.

The invention discloses a flood submerging position extraction method and system based on image retrieval. The method comprises the following steps: acquiring a street view image of a flood event; performing first feature extraction on the building part in the streetscape image to obtain a first image, and inputting the first image into a neural network model for secondary feature extraction to obtain a first image feature; and calculating the spatial similarity between the first image feature and the street view image database image feature of the flood city, and obtaining a database image position with the highest similarity with the first image as a positioning result. The invention provides an efficient and accurate flood inundation position extraction method, the problem of disaster situation positioning is effectively solved, powerful data and information support is provided for emergency response, disaster situation evaluation and disaster prevention and reduction work of flood disasters, and the disaster management efficiency and effect are greatly improved.

This invention provides a software conversion generation system, data structure, program, and control method for the software conversion generation system that can accurately generate conversions of software systems that operate on a target platform. [Solution] The software conversion generation system 10 includes a scoring processing unit that scores by referring to a database which includes a graph database configured to store source code conversion generation rules between multiple programming languages ​​in a graph structure of nodes and edges and enable structural searching, and a vector database configured to store vector embedding representations of the source code conversion generation rules and enable semantic searching, and a conversion generation processing unit that performs conversion generation of a software system while referring to the scores scored by the scoring processing unit.

The application discloses an encrypted image search method based on a quantum homomorphism K-neighbor algorithm, which comprises the following steps: obtaining database images, extracting image feature vectors, encrypting the features, and sending the obtained encrypted database image feature vectors to a cloud server; the cloud server encodes the encrypted database image features into quantum states and constructs an index; a user extracts features of a to-be-queried image and encrypts the features, and sends an encrypted query request to the cloud server; the cloud server encodes the encrypted to-be-queried image features into quantum states, and calculates the similarity between the to-be-queried image and the database images by using an exchange test; based on a quantum phase estimation algorithm, the similarity is encoded onto a quantum state, and based on a Grover algorithm, K images with the highest similarity in the database images are queried and sent to the to-be-queried image user; the to-be-queried image user decrypts the K encrypted images to obtain image search results, and completes the encrypted image search. The method can ensure the security and availability of images in a cloud environment, maintain the retrieval precision, and improve the search efficiency.