21 results about "Data structure diagram" patented technology

The invention relates to an information display method and device, computer equipment, a readable storage medium and a program product. The method comprises: when a first target transaction is in a lock waiting state, in response to dependency information sent by a target node, sending an information acquisition request to a second node to instruct the second node to acquire dependency information in an auxiliary process and send the dependency information to a first node; wherein the dependency information comprises that the first target transaction is in a lock holding state; generating a corresponding graph data structure on the basis of dependency information stored in the graph data structure and the received dependency information; points in the graph data structure comprise transaction information, and edges in the graph data structure comprise lock waiting relation information between transactions; and in response to the loop existing in the graph data structure, displaying transaction information contained in the loop and lock waiting relationship information between transactions. By adopting the method, the deadlock removing efficiency can be improved.

The invention relates to the technical field of data sharing, and discloses a data sharing method and device, equipment, a storage medium and a computer program product, and the method comprises the steps: obtaining to-be-shared data, and obtaining a data type related to the shared data; selecting a corresponding preset type association template based on the data type, and splitting the to-be-shared data based on the preset type association template to generate a data structure chart; and serializing the data structure chart, and sharing the to-be-shared data based on a serialization result. According to the data sharing method and device, the data type related to the to-be-shared data can be obtained, the corresponding preset data type association template is selected according to the data type to split the to-be-shared data and obtain the data structure chart, and the data structure body is serialized to complete data sharing; according to the method, the influence of the relevance between the data types on the to-be-shared data is analyzed, so that the shared to-be-shared data is more accurate.

The invention provides a cross-domain rolling bearing intelligent fault diagnosis method based on domain adaptation. The method comprises the following steps: (1) carrying out fast Fourier transform on an original time sequence signal, extracting frequency domain information, normalizing the frequency domain information, and reshaping the frequency domain information into two-dimensional grayscale image data; (2) constructing an SCG-TNet network model, including initial dimensionality reduction convolution, lightweight reverse residual convolution blocks based on channel shuffling and two-layer feature enhancement convolution, and realizing global feature extraction; a graph data structure and a graph convolution module of the high-dimensional feature graph are constructed based on a K-nearest neighbor algorithm, and global feature fusion is realized; (3) designing a CGWloss function, reducing the data distribution difference between a source domain and a target domain, and realizing cross-domain feature alignment; (4) balancing classification loss and cross-domain alignment loss by adopting a dynamic loss weight adjustment strategy, and optimizing a training process; and (5) using a back propagation mechanism and an Adam optimizer to minimize a loss function value, and training the model. The method is good in performance under different working conditions and can effectively adapt to complex working conditions.

Data structures, graphical user interfaces, and computer-implemented processes for automation of project management. In an embodiment, data structures are used to associate items with colors and elements. A virtual design board in a graphical user interface can then be automatically or semi-automatically populated with items that are associated with selected color(s) and / or element(s). A user may associate one or more of the populated items with a project, such as a wedding event. The underlying application may be cloud-based and / or be capable of managing clients and projects, processing payments, managing inventory, providing distinct libraries, creating assemblies, automatically generating preparation lists, generating reports, managing contracts, managing interactions, applying machine learning to make predictions or classifications and / or automate tasks, and / or the like.

To provide an image generation device, a trained model for image generation, a data structure for image generation, a program for image generation, and a diagnostic support method, for generating an image with reduced AN shadows from a biological image including the AN shadows.SOLUTION: A trained model for image generation is constructed by training a generative adversarial network, which is a type of a generative model, using original images X1-M created by pseudo-projecting virtual human body phantoms including a target tissue or organ O that contains AN and a target region T, and correct images X1-M. The trained model thus generates, from a biological image including AN shadows, an image containing only the AN shadows.SELECTED DRAWING: None

The invention discloses a static single assignment form query architecture which solves the problems that an existing SSA analysis tool is low in query efficiency and large in resource consumption in a large-scale code library. The framework comprises a front-end SSA intermediate presentation layer, an intermediate cache layer and a background database layer, wherein the front-end layer converts a source code into an SSA code comprising a node, a data flow edge and a control flow edge; the middle cache layer adopts a dynamic self-adaptive size to cache an intra-process data flow sub-graph, an inter-process data flow abstract and a hotspot query result; and the background layer stores the complete SSA data structure chart through an SQLite database. Millisecond-level response is realized through intelligent cache, I / O and memory overhead are balanced by combining lazy query and lazy storage strategies, and static analysis efficiency and resource utilization rate of a large-scale code library are remarkably improved.

The invention relates to the technical field of information transmission and data processing, in particular to an information flow intelligent compression transmission method based on big data, which comprises the following steps: acquiring key feature values of a multi-source heterogeneous data flow to generate a feature fluctuation mapping matrix, constructing a feature fusion data structure diagram, and generating a data flow priority main distribution diagram and a boundary distribution diagram block. And a priority level distribution surface is generated through feature value sorting and spatial reconstruction. According to the method, the compression strategy can be dynamically adjusted, the data transmission efficiency in a complex network environment is improved, the problems of limitation and information loss of a fixed strategy in a traditional method are effectively solved, and efficient and self-adaptive data flow priority analysis and transmission optimization are supported.

The invention relates to the technical field of electric power design assistance, and discloses an electric power design CAD drawing intelligent processing system based on an AI large model, and the system comprises an API gateway module which receives an examination request, and generates and distributes a request instruction; the task service scheduling module is used for receiving the request instruction and scheduling CAD analysis service, symbol recognition service, topology analysis service and rule engine service; the CAD analysis service analyzes the drawing file, recognizes graphic data and converts the graphic data into a digital model and a data structure; the symbol recognition service recognizes marking symbols in the graphic elements and the data structure and converts the marking symbols into business objects; the topology analysis service reads a business object, and establishes a spatial relationship and a connection logic; and the rule engine service verifies the digital model, the data structure, the graphic element, the annotation symbol, the business object, the spatial relationship and the connection logic, outputs a verification report, constructs an automatic drawing review system, and improves the efficiency and accuracy of electric power engineering design review.

The invention discloses a data extraction method and device, equipment and a storage medium, and relates to the technical field of computers. The method comprises the following steps: acquiring a plant model, wherein the plant model is a three-dimensional model of a plant; according to the grid information of the plant model, structural data of a plant in the plant model is extracted, the structural data comprises hierarchical structure data and pivot point data, the hierarchical structure data represents hierarchies included in the plant model, and the pivot point data represents data related to joint positions of plant growth in the plant model; based on the structure data of the plant, a data structure chart corresponding to the plant model is generated, and the data structure chart is used for generating animation related to the plant. According to the method, the data extraction efficiency is improved.

The present invention discloses a method and device for generating text, a storage medium, and a processor. The method includes: obtaining a target table and converting the data in the target table into a data structure diagram; encoding the data structure diagram through an encoder to obtain a target vector matrix, wherein the encoder is constructed by an encoding module and a graph neural network; decoding the target vector matrix through a decoder to obtain a target text corresponding to the data structure diagram, wherein the decoder is constructed by a decoding module, a feedforward neural network adapter, a dynamic pruning mechanism, and a structure-aware spanning attention layer. The present invention solves the technical problem of low accuracy in converting tabular data into text, which is caused by the decoding end treating the input data information as an unordered sequence and losing the structural information of the data information.

This invention provides a bridge structure modeling method and apparatus based on graph data structures, belonging to the field of building information technology. The method includes: constructing a graph data structure for the bridge based on original engineering data; the graph data structure includes a set of nodes and a set of directed edges; the directed edges are associated with nodes in the node set that have dependencies and configured with rule functions; traversing along the dependency directions indicated by the directed edges, and using the rule functions to determine the component attribute data of component nodes and the rebar attribute data of rebar nodes; modeling the bridge to obtain a bridge structure model; and automatically updating the bridge structure model if the attribute data of the target nodes of the bridge structure model changes. This invention organizes nodes through a graph data structure and explicitly expresses mapping relationships and computational logic using directed edges configured with rule functions, thereby breaking the limitations of static parent-child relationships, effectively handling complex multi-directional dependencies between components and rebar, and achieving adaptive and linked updates when model parameters change.

A signature generator has been designed that can create a malicious campaign signature with substantial coverage of malicious campaign behavior without impeding benign traffic. The malicious campaign signature generator uses data of multiple, known malicious campaigns to identify abused, benign network entities. The signature generator builds a graph data structure for each malicious campaign that represents the abused network entities. The relationships encoded in the graph data structure indicate the use of the combination of abused network entities in the campaign. The signature generator aggregates the graph data structures and identifies a combination of the benign network entities that were highly abused across the multiple malicious campaigns with respect to all of the abused network entities represented in the graph data structures. A signature is then created from the identifiers of this combination of highly abused network entities.

The invention discloses a radar environment false alarm elimination method and device, a storage medium and a product, and relates to the field of radars. The method comprises the following steps: creating a raster data structure chart; acquiring point cloud data of all targets in a radar detection area; calculating the grid position of each target point in the grid data structure chart, and storing the energy signal-to-noise ratio and the angle signal-to-noise ratio of each target point to the corresponding grid position; repeating the steps of obtaining the point cloud data, calculating the grid position of each target point in the grid data structure diagram and storing the energy signal-to-noise ratio and the angle signal-to-noise ratio of each target point until the set time is reached; calculating the confidence coefficient of the corresponding grid according to the energy signal-to-noise ratio and the angle signal-to-noise ratio of each grid in the grid data structure chart; and judging whether the target point is an environment false alarm target or not according to the confidence of each grid. According to the method, automatic elimination of the environment false alarm target is realized, manual elimination is not needed, and the false alarm elimination efficiency is greatly improved.

The present application relates to an information display method, apparatus, computer equipment, readable storage medium, and program product. The method comprises: when a first target transaction is in a lock-waiting state, in response to dependency information sent by a target node, sending an information acquisition request to a second node to instruct the second node to acquire dependency information in an auxiliary process and send the dependency information to the first node; wherein the dependency information includes that the first target transaction is in a lock-holding state; based on the dependency information stored by itself and the dependency information received, generating a corresponding graph data structure; the points in the graph data structure contain transaction information, and the edges in the graph data structure contain lock-waiting relationship information between transactions; in response to the existence of a loop in the graph data structure, displaying the transaction information contained in the loop and the lock-waiting relationship information between transactions. The use of this method can improve the efficiency of deadlock resolution.

The invention discloses a sequence-sensitive API (Application Program Interface) recommendation method based on a gated graph neural network, which comprises the following steps of: extracting an API calling sequence from a project source code, modeling the calling sequence into a data structure of a directed graph, and representing one API calling by each node in the graph; then, a pre-trained word2vec model is used for initializing the semantic representation of each API node, and a network layer is used for randomly initializing the ID representation of each graph node; learning by using a gated graph neural network model to obtain a vector representation of each graph node, and obtaining a vector representation of each method declaration through an API sequence representation of each method declaration and a semantic representation of the method; and finally, outputting a recommendation result according to the global preference feature and the local preference feature of the context of the API recommendation point. According to the method, the calling sequence of the API sequence is coded into the data structure of the directed graph, and the GGNN is used, so that the calling sequence problem of each API in the API recommendation mode is solved, the accuracy and the practicability of the API recommendation mode are enhanced, and the software development efficiency is improved.

A computer-implemented Influence Risk Engine harmonized with FIGS. 1-7, comprising data ingestion [100], volatility detection [110], exposure mapping [120], controversy analysis [130], and misalignment detection [140]. The system computes an Influence Risk Index (IRI) [500] and outputs mitigation recommendations [510] via dashboards [520] and APIs [530]. The architecture (FIG. 1), volatility / exposure analysis (FIG. 2), sentiment monitoring (FIG. 3), misalignment detection (FIG. 4), scoring (FIG. 5), data structures (FIG. 6), and machine learning pipeline (FIG. 7) are disclosed.

A signature generator has been designed that can create a malicious campaign signature with substantial coverage of malicious campaign behavior without impeding benign traffic. The malicious campaign signature generator uses data of multiple, known malicious campaigns to identify abused, benign network entities. The signature generator builds a graph data structure for each malicious campaign that represents the abused network entities. The relationships encoded in the graph data structure indicate the use of the combination of abused network entities in the campaign. The signature generator aggregates the graph data structures and identifies a combination of the benign network entities that were highly abused across the multiple malicious campaigns with respect to all of the abused network entities represented in the graph data structures. A signature is then created from the identifiers of this combination of highly abused network entities.

This application relates to the technical field of data sharing, and discloses a data sharing method, device, equipment, storage medium and computer program product. The method includes: obtaining data to be shared, and obtaining the data types involved in the shared data; selecting a corresponding preset type association template based on the data types, and splitting the data to be shared based on the preset type association template to generate a data structure diagram; serializing the data structure diagram, and sharing the data to be shared based on the serialization result. This shows that this application can obtain the data types involved in the data to be shared, select a corresponding preset data type association template according to the data types to split the data to be shared and obtain a data structure diagram, and complete data sharing by serializing the data structure. Since this application analyzes the influence of the association between data types on the data to be shared, the data to be shared after sharing is more accurate.

Embodiments of the present application disclose a data processing method and device, computer equipment and a readable storage medium. The data processing method comprises: determining a target object and a set of associated objects of the target object, and constructing a data structure graph between the target object and the associated objects; determining evaluation results corresponding to the target object and the associated objects respectively according to a reference evaluation matrix and a feature matrix of the data structure graph, wherein the reference evaluation matrix is determined according to reference evaluation parameters corresponding to the target object and the associated objects respectively; wherein the set of associated objects comprises a first type of associated object and a second type of associated object, the data structure graph comprises nodes for representing the target object and the associated objects, and comprises one or more of a first type of edge and a second type of edge, and the determination manner of the weight of the first type of edge and the weight of the second type of edge is different. The present application can effectively improve the detection coverage of the associated objects and the accuracy of the evaluation results.

The invention relates to the technical field of artificial intelligence, and particularly provides an agent for generating a report, comprising: a configuration module for configuring a source database and a data table of metadata, generating a database table vector for the source database and the data table, and generating a metadata structure atlas based on the database table vector; the reasoning module is used for extracting key elements from user questions and querying a temporary data table based on the key elements and the metadata structure atlas; the action module is used for querying data matched with the user question from the temporary data table, drawing the matched data into a report form and outputting the report form as an answer; and the memory module is used for storing the questions and answers of the user in a long-short-term memory pool. According to the method, the corresponding data can be retrieved and the report can be generated according to the problem of the user, the dynamic report generation mode can adapt to the attention change of the user, a fixed template does not need to be developed, and the report generation efficiency is improved.

The invention discloses an information collection method and device. Belongs to the technical field of communication. The method comprises the following steps: acquiring first information broadcasted by a telephone customer service system; a first node corresponding to second information broadcasted by the telephone customer service system last time is determined according to a first directed graph, and the first directed graph is a data structure graph used for storing interaction information with the telephone customer service system; on the basis of the first information, the first directed graph is updated, a second directed graph is obtained, the second directed graph comprises a second node corresponding to the first information and the connection relation between the first node and the second node, and the second node comprises a first response action set; determining a first response action meeting a target condition in the first response action set; and executing the first response action, and recursively executing the step of acquiring the first information broadcasted by the telephone customer service system until the communication connection with the telephone customer service system is interrupted.