55results 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 relates to an anti-confusion factor based hash image retrieval method, which comprises: obtaining a query image, the query image comprising a reason factor and a confusion factor; inputting the query image into a trained hash network to obtain a hash code expressing the reason factor in the query image; calculating the similarity between the hash code of the query image and hash codes of a plurality of historical images, and taking the historical image corresponding to the hash code with the highest similarity as the image retrieval result. The anti-confusion factor based hash image retrieval method provided by the present disclosure trains a hash network, so that the hash network ignores the confusion factor and focuses on expressing the reason factor in the image in the process of generating a hash code, thereby generating an accurate hash code. Then, by calculating the similarity between the hash codes, an accurate image retrieval result is retrieved.

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.

The application provides a performance testing method and device for a platoon automatic driving vehicle, the method comprising: in response to receiving a search condition input by a user, determining a target scene matching the search condition based on a pre-constructed scene database, wherein the pre-constructed scene database stores at least a plurality of first-level scene tags and second-level scene tags, the first-level scene tags comprise a plurality of second-level scene tags, and the plurality of second-level scene tags are in a mutual exclusion relationship; running the platoon automatic driving vehicle in the target scene and obtaining performance data of the platoon automatic driving vehicle; and verifying an automatic driving strategy of the platoon automatic driving vehicle according to the performance data. Through the application, automatic label management is realized, and new and old data are uniformly managed. When the judgment standard of the scene database is updated, only the historical data needs to be refreshed according to the new clustering standard, the historical data can be effectively utilized, and the retrieval difficulty or loss of the historical data is avoided.

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.

The invention relates to the field of drug utilization value analysis, and particularly discloses a data stream-based drug utilization value analysis system, which comprises a data layer, an application layer and a user layer, according to the method, the multi-source drug data stream is constructed and stored in the multi-source drug database, and based on systematic management of drug information, drug use errors caused by drug name confusion, dosage errors and dosage form confusion can be reduced, the drug use safety is improved, and the method is beneficial to quickly and accurately retrieving and querying specific types of drug information; by integrating the elderly physiological features and the drug feature information, the drug utilization value analysis model is constructed, the elderly physiological features and the drug features are comprehensively considered, the utilization value of the drug on the elderly can be comprehensively evaluated, and the influence of the drug on the elderly patient can be predicted more accurately.

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.

The invention relates to the technical field of alloy materials, and discloses an alloy material component screening method, system and equipment and a medium. The method comprises the following steps: constructing an alloy component performance data set; constructing a multi-model performance prediction model, and training the multi-model performance prediction model according to the alloy component performance data set to screen out a performance prediction reference model; performing global search according to a genetic algorithm and the performance prediction reference model to obtain an alloy component scheme and a corresponding performance prediction result; according to the alloy component scheme and the performance prediction result, weighted assignment sorting is carried out to screen out a target alloy combination; and performing simulation verification and process analysis on the target alloy combination to optimize the performance prediction reference model. According to the method, deviation of a single model is avoided through a multi-model performance prediction model, the genetic algorithm is introduced to ensure global search and avoid local optimization, the closed-loop process design is formed by combining simulation verification and process analysis, the target alloy combination meeting the requirements is rapidly and accurately screened, and the development efficiency is improved.

The application discloses a kind of self-adapting terminology normalization methods based on double-tower model. The original word of terminology is retrieved in standard terminology dictionary to retrieve multiple similar standard terminology of the original word of terminology;Sample pair is formed, and balanced processing obtains balanced sample pair set;Balanced sample pair set is input into Sentence-BERT double-tower model for training, Sentence-BERT double-tower model outputs label and prediction result, and the standard terminology dictionary is processed using the trained Sentence-BERT double-tower model, to obtain sentence vector and save in offline vector database;The original word of terminology to be predicted is processed using the trained Sentence-BERT double-tower model, and then combined with offline vector database processing to predict and obtain high similarity standard terminology, and then match additional to the original word of terminology to be predicted.The application can normalize and match a non-standard terminology text, optimize processing in industrial scene, has small amount of calculation, fast operation speed, and greatly improves the efficiency of matching normalization.

The present application relates to the technical field of three-dimensional mobile robot path automatic planning, and particularly relates to a robot three-dimensional global path planning method based on sunlight irradiation principle, comprising the following steps: dividing a search space into an obstacle region and a free region, determining a directed graph set and a dynamic update dataset of robot path nodes; setting a heuristic function to select a sunlight point from the dataset; using a circular conical tangent point search function to determine an obstacle edge path tangent point; using a grid restriction sampling mechanism to screen the path tangent point; repeating the above steps until a preset maximum number of sampling nodes is reached, generating several feasible paths; selecting the feasible path with the minimum path length for backend optimization processing, and outputting an optimal feasible path. The present application quickly searches for an obstacle edge tangent point to construct a feasible path by simulating the sunlight irradiation principle, screens nodes in combination with a grid restriction sampling mechanism, improves the algorithm convergence speed, and realizes rapid and smooth planning of the shortest path in a three-dimensional space.

The invention relates to the technical field of data processing, in particular to a stereo garage positioning system and method.The stereo garage positioning system comprises a parking space obtaining subsystem, a model generating subsystem, a garage monitoring subsystem and a license plate number searching subsystem, and the parking space obtaining subsystem obtains all parking space information in a stereo garage; the model generation subsystem generates a parking garage model based on all the parking space information; the garage monitoring subsystem monitors vehicles in the three-dimensional parking garage based on the parking garage model to obtain a position information base with positions of all the vehicles; a user inputs a target license plate through the license plate number searching subsystem, the target license plate is used for matching from the position information base, the target position is obtained, the target position corresponds to the parking garage model, and a searching route is obtained. The problem that a large amount of time needs to be wasted for searching vehicles in an existing three-dimensional parking garage is solved.

This application belongs to the field of artificial intelligence and healthcare technology, specifically disclosing a multi-memory large model enhancement method and system based on adaptive resonance theory. The method includes: obtaining memory units from the plot memory module based on a new medical dialogue event; processing the new medical dialogue event through a large model based on multi-source memory; multi-source memory is constructed based on information stored in memory units, working memory modules, and semantic memory modules; the plot memory module is used to: determine candidate plot prototypes by analyzing attribute similarity; determine whether there is resonance between the new medical dialogue event and the candidate plot prototype; if there is resonance, use historical dialogue events in the event set of the resonant plot prototype as memory units and update the resonant plot prototype; if there is no resonance, create a new plot prototype. This application enables effective memory management and improves the stability and accuracy of large model reasoning in medical dialogue scenarios.

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.

The invention discloses a multi-modal large model-based remote sensing image-text cross-modal retrieval method and system, and the method comprises the steps: constructing a retrieval model and carrying out training, and the framework of the model comprises initial modal feature extraction, fine-grained image-text representation enhancement, group perception image-text similarity scoring function design and a multi-view contrast learning strategy; respectively extracting initial representations of the text and the image; respectively enhancing the two types of fine granularity representations; for the image, three learning tasks of feature reconstruction, scene classification and background information alignment are taken as guidance, the background information of each image block is separated from target features, and meanwhile, the relationship between targets is reinforced through image learning; key word information is emphasized for the text; and calculating correlation scores and generating the similarity of the image-text pairs. The system comprises a model building unit, a model training unit and a retrieval unit. By using the method and the device, the cross-modal retrieval precision can be improved. The method can be applied to the field of cross-modal retrieval.

The invention relates to the technical field of computer 3D modeling, and discloses an urban three-dimensional terrain rapid modeling method and system based on AI point cloud semantic segmentation, and the method comprises the steps: carrying out the high-quality modeling of a feature object three-dimensional model in a target urban terrain according to an urban terrain semantic point cloud fusion preprocessing data set in cooperation with a point cloud three-dimensional modeling platform; precise modeling of the urban terrain in a finite point cloud data state is realized based on semantic segmentation and point cloud fusion; urban terrain three-dimensional model image information is accurately collected through a point cloud three-dimensional modeling platform and screenshot software, and urban terrain three-dimensional model modeling defect intelligent identification is carried out in combination with an AI algorithm and urban terrain feature object standard modeling defect image data; and based on the urban terrain three-dimensional model data and in cooperation with a point cloud three-dimensional modeling platform, performing dynamic and efficient repair and reconstruction processing on modeling defects of the urban terrain three-dimensional model, and realizing accurate modeling repair and reconstruction in an urban terrain finite point cloud data state based on model repair.

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.

The invention belongs to a document generation method, and provides a document analysis and enhancement generation method and a related device aiming at the technical problem that factual errors or information missing easily occur in generated contents when table contents are designed by an existing document retrieval enhancement generation technology. The method comprises the following steps: analyzing a document image through a layout detection model, identifying to obtain different functional regions of the document image, then constructing a document structure tree for representing a spatial and hierarchical relationship between the functional regions, respectively performing fine-grained semantic analysis on each functional region by using a visual language model, inputting semantic analysis into a large language model, and constructing a document structure tree for representing the spatial and hierarchical relationship between the functional regions; the corresponding natural language description is obtained, then the natural language description is coded into dense vectors, and all the dense vectors are constructed into a vector index database; according to the method, fine-grained layout detection, multi-modal structure understanding and structured language representation are introduced into a retrieval enhancement generation process, and an end-to-end analytic framework is formed.

The invention provides a method and a system for constructing a police affair financial question-answering system based on a large model. The method comprises the following steps: acquiring multi-source police affair financial data and a user query request; constructing a police affair financial knowledge base according to the multi-source police affair financial data; performing semantic analysis and query rewriting on the user query request by using a pre-constructed special retrieval enhancement generation model for the police affair financial field to obtain a standardized query result; matching associated information of the standardized query result from the police affair financial knowledge base by using a hybrid retrieval strategy; based on the associated information, deploying a police affair financial question-answering system supporting multi-terminal interaction; through the overall design of multi-source data integration, domain model adaptation, hybrid retrieval optimization and multi-terminal deployment, accurate matching of police affair financial knowledge and efficient response of professional query can be realized, and meanwhile, data security and scene suitability are considered, so that the accuracy, convenience and compliance of police affair financial questions and answers are comprehensively improved.

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 invention discloses a short-term thermal load prediction method and system based on time-frequency interaction, and belongs to the technical field of heat supply load prediction, and the method comprises the steps: obtaining thermal load sequence data of a heat supply system, and carrying out the normalization of the data; decomposing the normalized thermal load sequence data into a plurality of IMF components by using a variational mode decomposition algorithm; constructing a time-frequency interaction prediction model; inputting each IMF component into a time-frequency interaction prediction model, that is, each IMF component correspondingly obtains a multi-scale reconstruction feature and a bidirectional time sequence feature through a wavelet convolution model and a BiLSTM model; a time sequence context dynamic retrieval mechanism is established, and joint representation features corresponding to IMF components are obtained; and the combined representation features of all the IMF components are summed after passing through a full connection layer and reverse normalization in sequence, and a final heat load prediction value of the heat supply system is obtained. According to the invention, the thermal load prediction accuracy and robustness of the heat supply system can be improved.

The invention relates to the technical field of aircraft vibration experiments, and discloses aircraft ground resonance test equipment with visual entrance, comprising a fixing device; the fixing device comprises a rack, a lateral supporting frame, a forward supporting frame and a ground fixing mechanism. A lifting device; the lifting device is arranged in the rack and comprises lead screw lifting mechanisms, guide mechanisms and stroke limiting mechanisms, wherein the lead screw lifting mechanisms are installed at the four corners of the rack. A driving device; the driving device is arranged below the rack; the air spring device is arranged on the supporting plate; and the supporting device is arranged above the air spring device. According to the fixing device, the foldable extra supporting frame design is adopted, the lateral supporting frame prevents the situation that the aircraft is subjected to uneven lateral stress and rolls over together with the device, and the forward supporting frame prevents the situation that the aircraft is subjected to uneven forward and backward stress and rolls over together with the device.

The application discloses a train wheelset fluorescent magnetic powder flaw detection image crack identification, positioning and measurement method, which comprises the following steps: partitioning a train wheelset and collecting a crack magnetic powder image of the train wheelset; pre-processing the collected crack magnetic powder image to highlight crack features; segmenting and extracting the crack features; and identifying, positioning and measuring the crack according to crack feature information. According to the shape characteristics of the crack, the application proposes a crack feature segmentation algorithm combining the crack area and the area of its circumscribed rectangle and the aspect ratio of the circumscribed rectangle of the connected domain, realizes accurate extraction of the wheelset crack features, and identifies, positions and measures the crack. Compared with other crack detection methods, the application not only realizes nondestructive detection of the surface crack of the train wheelset, but also effectively segments the features of the train wheelset crack, facilitates identification, positioning and measurement of the crack of the train wheelset, and thus realizes automatic wheelset crack magnetic powder flaw detection.

The invention relates to a service system access method and device, a computer device and a storage medium. The method relates to an information retrieval technology, and solves the problems of low efficiency, inaccurate result, high implementation cost and the like in a service system access process. The method comprises the steps of receiving a natural language instruction; screening a target service matched with the natural language instruction from an available service list, wherein the available service list comprises a plurality of business services and description information corresponding to each business service; and initiating a calling request for the target service based on a standard communication protocol. The technical scheme provided by the invention is suitable for a multi-modal information management and operation system, and a multi-modal service access system which is easy to use, high in response efficiency and accurate in retrieval is realized.

The utility model discloses a fault cable accurate positioning device, which relates to the field of cable detection, aims to solve the problem that cable open circuit fault points are inconvenient to accurately position in the prior art, and adopts the technical scheme that the fault cable accurate positioning device comprises a take-up frame and a pay-off frame, and the pay-off frame and the take-up frame are the same in structure; a lifting frame is further arranged between the take-up frame and the pay-off frame, the lifting frame is arranged on the side close to the take-up frame, and an induction coil is arranged on the lifting frame. A storage battery is connected to the take-up frame through a mounting plate, the storage battery provides alternating current for a cable to be detected, the take-up frame, the pay-off frame and the storage battery are matched, the alternating current is connected to the cable to be detected on the premise that winding of the cable is not affected, the alternating current stops at the open circuit position due to open circuit of the cable, the cable passes through an induction coil, and the cable to be detected is detected. By detecting whether the cable has alternating current or not, the open-circuit position of the cable can be judged, and the fault position of the open-circuit fault cable can be quickly and accurately found and maintained.

This disclosure discloses a test data processing method, apparatus, electronic device, and storage medium, comprising: in response to a test trigger event, creating a data acquisition session corresponding to a test task, wherein the test task corresponds to at least one test case; during the data acquisition session, selectively acquiring screen stream data of the target application's running process based on preset application identification information; acquiring interactive event data, application status data, and client log data of the target application's running process in parallel; associating the screen stream data, interactive event data, application status data, and client log data with a unified timestamp to establish a time-series associated data set; and based on the time-series associated data set, in response to a data backtracking request, acquiring target screen stream data, target interactive event data, target application status data, and target client log data corresponding to the target timestamp. The embodiments of this disclosure effectively reduce retrieval computation overhead and response latency, improving the overall testing efficiency of the application.

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 utility model discloses a mechanical keyboard axle seat based on hall sensor relates to mechanical keyboard axle seat technical field, including axle seat, the inside bottom side center of axle seat is provided with the light -transmitting column, one side of light -transmitting column is provided with permanent magnet, the upper side of axle seat is provided with the axle cover, the axle cover downside corresponds the position of permanent magnet and is provided with magnet cover shell, the utility model discloses the light -transmitting column of setting in the axle seat center, and the permanent magnet, the positioning cross axle of through -hole and transparent structure of setting in the side of light -transmitting column make the lighting light on the keyboard pass through light -transmitting column and transmit the bright light upwards, and the bright light passes through the positioning cross axle of transparent structure and irradiates the keycap upwards, make the identification on the keycap can be clearly illuminated, and it is convenient for accurate search key.