18results about How to "Exact search" patented technology

The application discloses a three-dimensional model fast retrieval method, equipment and medium, and relates to the computer technical field. The method comprises the following steps: in response to receiving a part of a two-dimensional sketch of a three-dimensional model drawn by a user, performing image segmentation on the part of the two-dimensional sketch to obtain a plurality of sub-images; performing mapping processing on each sub-image to obtain an initial feature corresponding to each sub-image, and performing attention calculation on the initial features corresponding to the plurality of sub-images to obtain a plurality of first key features; fusing the plurality of first key features to obtain a second key feature corresponding to the part of the two-dimensional sketch; based on the second key feature, performing similarity matching on a feature database to obtain a plurality of target features, and searching a three-dimensional model set corresponding to the plurality of target features from a three-dimensional model database. In this way, the target three-dimensional model meeting the design intention of the user can be quickly and accurately retrieved according to the part of the sketch of the model drawn by the user, so that the design efficiency and the user experience are significantly improved.

The present disclosure provides a message processing method and device, equipment and storage medium, comprising: in response to receiving a to-be-processed message, extracting quintuple information from the to-be-processed message; matching the quintuple information with the index key of the session table to determine the type of the to-be-processed message, wherein the index key of the session table is constructed based on the quintuple information of the established session; in response to the type of the to-be-processed message being a first packet, matching the quintuple information with the index key of the association mapping table to determine whether the to-be-processed message is an associated session of the main session, wherein the index key of the association mapping table is constructed based on the IP address and port information obtained by parsing the application layer of the control channel message of the multi-channel protocol, and the main session is the session of the control channel; in response to the to-be-processed message being an associated session of the main session, performing forwarding processing on the to-be-processed message.

Provided are a simultaneous localization and mapping method and device. The simultaneous localization and mapping method comprises: acquiring a current frame image input by a camera; performing scene recognition on the current frame image to obtain a key frame image having the greatest similarity to the current frame image in a global map; and determining a camera pose of the current frame image according to the key frame image. The simultaneous localization and mapping method comprises: acquiring a current frame image input by a camera; determining a key frame image having a similarity to the current frame image; acquiring a feature point matching relationship between the current frame image and the key frame image; and calculating a camera pose of the current frame image based on the feature point matching relationship between the current frame image and the key frame image. According to the simultaneous localization and mapping method and device of the example embodiments of the present disclosure, the camera pose can be calculated by a traditional method, and the camera pose can also be determined by loop detection and repositioning through a deep learning model.

This invention discloses a supervised multimodal hash retrieval method and system based on label enhancement, belonging to the field of artificial intelligence and multimedia retrieval technology. The technical problem this invention aims to solve is how to better capture the similarity information between multimodal data points and achieve better performance and accuracy in multimodal retrieval tasks. The technical solution includes: data preprocessing: acquiring and organizing public datasets of image and text modalities, and dividing each public dataset into training, testing, and retrieval datasets; extracting deep features: using a pre-trained network model to extract features from the raw data of the public datasets of image and text modalities respectively, obtaining deep features of the image modality and the text modality; offline training; variable update and optimization; and online query. The system includes a data preprocessing unit, a feature extraction unit, an offline training unit, a variable update and optimization unit, and an online query unit.

This invention provides a method for predicting the dominant frequency of blasting vibration by integrating parameter fluctuation processing and the Dream Optimization Algorithm (DOA), belonging to the field of underground engineering safety control technology. The system includes a data acquisition and uncertainty modeling module, a data preprocessing and feature construction module, a hyperparameter optimization module, and a prediction model training and result output module. The method obtains relevant parameters through on-site investigation and monitoring, and generates an extended sample set using a combination of probabilistic perturbation modeling and fuzzy triangular modeling. The data is preprocessed and features are selected. The DOA algorithm is used to globally search the hyperparameters of the Support Vector Regression (SVR) model, and the optimal hyperparameter combination is selected by combining a robustness fitness function. The SVR model is trained, and prediction results and uncertainty prediction intervals are generated. This invention can explicitly characterize the uncertainty of geological parameters, achieve efficient global optimization of hyperparameters, improve prediction accuracy, robustness, and generalization ability, and is applicable to different geological conditions and blasting scenarios. It can be extended to various blasting dynamic response prediction tasks.

This application discloses a context generation method and apparatus, relating to the fields of artificial intelligence and other technologies. The context generation method includes: acquiring text data input by a user and encoding it to obtain a text vector; calculating the vector similarity between the text vector and knowledge vector data to obtain target data; obtaining initial context data based on the target data and text data; and performing alignment optimization processing based on the initial context data, text data, and target data to obtain target context data.

The present application relates to the field of data processing, and particularly relates to a sewer network pollutant tracing method, device and system. The present application fuses multi-source pollution data to construct an uncertainty quantification framework, which is used to determine adaptive pollution source tracing positioning. The experience probability of the relevant historical pollution path is obtained by mining the historical pollution events, and the suspected pollution source point and the suspected pollution path are obtained. Then, the asynchronous strength and the blind area gain of each suspected pollution path are accurately quantified. In the final adaptive tracing positioning process, the experience probability, the asynchronous strength and the blind area gain of the suspected pollution path are fused to obtain an adaptive search radius, and the tracing positioning is performed within the adaptive search radius. The final adaptive search radius obtained by the present application can differentiate the scheduling of search resources, reduce the waste of tracing resources and reduce the tracing cost.

Embodiments of the present application provide a video segment retrieval model generation method, device and equipment, and a storage medium, relating to the field of artificial intelligence. The method comprises: obtaining a plurality of video blocks and their corresponding video text information and prior boxes by performing segmentation processing on a video segment; performing feature coding processing on the plurality of video blocks and their corresponding video text information to generate video coding information and text coding information corresponding to the plurality of video blocks; constructing a first graph network structure; updating nodes in the first graph network structure according to the video coding information and the text coding information to obtain a second graph network structure; determining a loss function of a video segment retrieval model according to labels corresponding to the prior boxes; and training the video segment retrieval model based on the second graph network structure and the loss function to obtain a target video segment retrieval model. The present application aims to solve the problem that complete videos cannot be accurately retrieved through video segments in related technologies.

The embodiment of the present disclosure provides a coding method, a communication device, a storage medium and a program product, relates to the technical field of video processing, and is used for improving the accuracy of a motion vector used in a coding process. The method comprises the following steps: a decoding end receives a code stream, the code stream comprises first indication information, the first indication information is used for indicating at least one first motion vector in a motion candidate list of a current coding block; at least one second motion vector of the current coding block is determined based on the at least one first motion vector, wherein a vector difference between each first motion vector and a corresponding second motion vector in the at least one second motion vector satisfies a first condition, and the at least one second motion vector is related to a motion vector of the current coding block.

This application belongs to the field of computer technology, specifically relating to a data query method, a data query device, a computer-readable medium, an electronic device, and a computer program product. The method includes: parsing a data query request to obtain query conditions, the query conditions including one or more of a subject, an object, and a predicate, the predicate representing the logical relationship between the subject and the object; determining a target data partition in a graph database based on the query conditions, the graph database including a first-level data partition obtained by dividing regions according to the density relationship between nodes, the first-level data partition including a second-level data partition obtained by dividing regions according to the logical relationship between nodes; and retrieving data query results matching the query conditions from the target data partition. This application can improve data query efficiency and reduce resource consumption in the data query process.

The present application provides a kind of training method, device, electronic equipment and storage medium of pedestrian search model based on twin network, wherein the method comprises: determining training image;According to the lower branch of twin network, the feature of training image is extracted, and the feature vector of each pedestrian in training image is obtained;The training image is processed to obtain multi-scale pedestrian image, and the feature of multi-scale pedestrian image is extracted according to the upper branch of twin network, and the multi-scale feature vector of each pedestrian in training image is obtained;According to the feature vector and multi-scale feature vector, training is carried out, and the trained pedestrian search model is obtained when training is completed. When pedestrian search is carried out, the pedestrian at different scales is accurately searched.

The application provides a question and answer method and system based on a large language model, which comprises the following steps: determining a current question of a user and a natural language understanding prompt word; inputting the current question and the natural language understanding prompt word into a pre-trained large language model to obtain a question understanding result and a question to be answered output by the large language model according to a natural language understanding strategy; in the case that the question understanding result is a factual question, retrieving an answer from a knowledge graph based on semantic analysis; inputting the retrieved answer and an answer verification prompt word into the pre-trained large language model to obtain an answer verification result; in the case that the verification is reasonable, taking the retrieved answer as the final answer to the current question; and in the case that the verification is unreasonable, generating an answer by the large language model. In the multi-round question and answer task, the application can deeply understand the question of the user based on the context, effectively retrieve and integrate information from different knowledge sources, and thus accurately and efficiently provide an answer to the current question.

The application discloses a power industry dynamic knowledge base construction method and system based on a large language model, relates to the field of electric digital data processing, and comprises the following steps: receiving a power field document imported by a user, and converting the power field document into an electronic document; calling a large language model to analyze the electronic document, extracting professional term definitions, chart position information and document logical levels in the electronic document, and generating knowledge units containing multiple contexts; connecting the knowledge units into directed knowledge links, calculating semantic similarity between adjacent knowledge units in the directed knowledge links, segmenting the directed knowledge links, and obtaining multiple knowledge topics; receiving a knowledge retrieval instruction, determining a target knowledge topic corresponding to the knowledge retrieval instruction; extracting a target knowledge unit corresponding to the target knowledge topic, and generating a knowledge retrieval result based on a target context of the target knowledge unit. The application can optimize knowledge base construction and guarantee the integrity of knowledge base data.

The application discloses a UWB positioning method and system based on SLSQP and Newton iteration method, which firstly constructs a UWB ranging positioning model based on a ranging intersection principle, then solves an initial position by using a sequential least squares programming algorithm, and re-groups and switches to a new base station group according to prior map information, so as to reduce multi-region positioning errors, improve positioning continuity, then constructs a'sub' ranging positioning model by using the new base station group, and re-calculates coordinates by using a Newton iteration method, so as to improve system positioning accuracy, and finally processes the coordinates by using an unscented Kalman filtering algorithm, so as to improve the stability of positioning results. The positioning system comprises a network cable, a POE switch, an upper computer, a router and a plurality of UWB base stations and UWB tags, and data required by the positioning method is collected by the system. The UWB positioning method can effectively inhibit the positioning errors of UWB in a complex indoor scene, and improve the accuracy and stability of the positioning system.

This invention discloses a human frozen embryo carrier storage device with a mortise and tenon joint structure, belonging to the technical field of frozen embryo carrier storage equipment. It includes an outer cylinder containing multiple removable insert blocks, which are connected to each other via a mortise and tenon joint. Adjacent insert blocks are different colors, and each insert block contains multiple dividing grooves. This invention connects six insert blocks into a complete cylindrical shape using mortise and tenon joints. After assembly, the overall connection is tight and secure, with an aesthetically pleasing design. Furthermore, the different colors of the oxidized insert blocks provide clear identification, greatly facilitating the zoning management, rapid identification, and accurate retrieval of frozen embryo carriers.

This invention proposes a point cloud registration method and system for power battery reconstruction, relating to the field of 3D point cloud data processing technology. The method includes: establishing an initial point correspondence between a source point cloud and a target point cloud; using the PSO (Particle Swarm Optimization) algorithm to simulate and update the initial point correspondence, obtaining a coarsely registered first particle swarm; combining the ICP (Integrated Point Optimization) algorithm to minimize the Euclidean distance between corresponding points in the source and target point clouds, determining the optimal rigid transformation, and obtaining a finely registered second particle swarm; during each coarse and fine registration process, if the second fitness value corresponding to the second particle swarm is less than the first fitness value corresponding to the first particle swarm, the second pose of the second particle swarm is fused with the first pose of the first particle swarm to correct the first pose, and the target pose that minimizes the fitness function value is selected from the second pose to optimize the particle poses of the idle particle swarm of the first particle swarm, obtaining the target particle swarm.

This invention relates to the field of information retrieval and data visualization technology, and discloses a visual text search method based on a hybrid data model. The method includes: constructing a hypergraph hybrid model by associating a graph database and a vector database using global identifiers; identifying the intent of user queries; generating structured search instructions for the graph database and semantic similarity search instructions for the vector database; fusing and expanding the two types of search results based on global identifiers to form a search result set containing an extended knowledge graph, a list of semantic vectors, and traceable links between them; and finally, converting the result set into a dynamic and interactive visual view according to predefined mapping rules and a hybrid mechanics layout algorithm. This invention effectively unifies semantic retrieval and relational retrieval, improves the comprehensiveness and accuracy of retrieval, and significantly enhances the depth of information understanding and user experience through intelligent visualization and interaction mechanisms.

The application relates to the technical field of artificial intelligence, and discloses a question and answer method and device for professional field knowledge and an intelligent question and answer system. The question and answer method is applied to an intelligent question and answer system provided with a generative AI, and the intelligent question and answer system is deployed or associated with a hybrid knowledge base. The question and answer method comprises the following steps: receiving a query sentence of a user, and disassembling the query sentence into multiple atomic problems; searching in the hybrid knowledge base according to the multiple atomic problems, and generating a preliminary answer according to a search result; wherein the hybrid knowledge base comprises a relational database and a vector database; performing multi-source evidence verification on the preliminary answer to calculate a confidence degree, and performing provenance marking on technical concepts in the preliminary answer; and in the case that the confidence degree is greater than or equal to a set threshold, outputting a final answer with the provenance marking. The application can improve the accuracy of question and answer for professional field knowledge.