332 results about "Graphical data" patented technology

In a method for providing a visual representation of search results, a natural language query may be obtained from a user. The natural language query may be processed to obtain key query terms. Based on the key query terms, a relevance-ranked search on a plurality of documents may be performed to obtain a subset of the plurality of documents relevant to the natural language query. Answers to the natural language query may be extracted from relevant documents among the subset of documents, and graph data may be obtained using document links associated with the relevant documents from which the answers were extracted. The graph data may include entities and relationships identified in the relevant documents. The graph data may be used to generate a graph that may be displayed to the user to enable the user to discover information previously unknown to the user.

The invention discloses an automatic monitoring method for infrastructure construction operation violation based on multi-modal data fusion, and belongs to the technical field of graphic data processing and pattern recognition, and the method comprises the steps: obtaining multi-modal source data of a target scene, carrying out the data recognition and standardization processing of the multi-modal source data, and generating preprocessing feature data; acquiring an on-site environment condition, and generating an environment state parameter; performing dynamic weight distribution on the preprocessed feature data based on the environment state parameters to generate weighted feature data; performing multi-source data conflict judgment and resolution on the weighted feature data to generate conflict resolution event data; and based on a preset behavior rule pattern library, performing behavior pattern matching on the conflict resolution event data to generate a violation judgment result. According to the method, a multi-modal spatial-temporal feature fusion and dynamic weight distribution mechanism is adopted, and an environment adaptive perception and multi-source data conflict resolution technology is combined, so that automatic monitoring and pattern recognition of illegal behaviors in a construction environment can be realized.

The invention discloses a feature fusion processing method for anesthesia depth multi-modal data, and belongs to the technical field of graphic data processing and pattern recognition, and the method comprises the steps: obtaining a multi-modal physiological signal and an electromyographic signal of a patient; performing time axis calibration on the physiological signal to generate an alignment signal; extracting a multi-modal feature vector and calculating an anesthesia depth index; performing deviation analysis on the basis of the electromyographic signal and the index to obtain an electromyographic response deviation index; performing graphical feature mapping on the real-time electroencephalogram signal to generate a real-time time-frequency map; when the deviation index exceeds a safety threshold value, performing graph pattern matching with a pattern template library to calculate a similarity score; and outputting the current anesthesia state mode in a classified manner. According to the method, a multi-modal signal graphical feature fusion technology is adopted, and a dynamic map generation and pattern matching mechanism is combined, so that the problem of complex pattern recognition of physiological signal graphic data can be solved, and the accuracy and timeliness of anesthesia state classification are improved.

The invention discloses a real estate registration information real-time query system based on graphic data, and relates to the technical field of information real-time query, and the system comprises a knowledge graph generation unit which is used for processing an established multi-modal data set, generating a joint vector, coding the joint vector, and storing the coded joint vector in a preset graph database, synchronously constructing a dual dynamic index mechanism to generate a real estate knowledge graph; the knowledge graph updating unit is used for capturing change events in the multi-modal data set in real time, identifying graph structure differences of a change area and generating a topology correction strategy by positioning the change area and a neighborhood range, and updating a real estate topology knowledge graph in combination with transaction characteristics of a graph database; a query result display unit; and a data synchronization unit. According to the method, the real-time data channel is constructed, capturing and incremental processing of the real estate business change event are achieved, and it is ensured that the real estate knowledge graph and graphic data are dynamically consistent in topological structure and attribute information.

The invention relates to the technical field of industrial internet of things operation and maintenance, and particularly provides a remote maintenance auxiliary method integrating video monitoring and three-dimensional modeling. The method comprises the following steps: acquiring engineering graphic data and point cloud scanning data of maintenance equipment, and collecting video stream data of a maintenance equipment site; the video stream data is used for describing the operation state of maintenance equipment; the video stream data comprises a plurality of video frames; matching the point cloud scanning data with the engineering graphic data, and constructing a watertight three-dimensional grid model according to a matching result; mapping texture features of the maintenance equipment in a target video frame to the surface of the watertight three-dimensional grid model to obtain a target three-dimensional model; and receiving a first maintenance instruction marked in the target three-dimensional model by a remote expert, and sending the first maintenance instruction to a video picture of a client of an on-site maintainer. According to the technical scheme provided by the invention, the time consumption for positioning the overhaul part can be reduced.

In one implementation, a device may facilitate the hunting, detection, and forensic assessment of threats utilizing a knowledge graph. The device obtains telemetry data collected within a cloud computing environment. The device forms a temporal graph that represents changes in the cloud computing environment over time based on the telemetry data. The device maps the temporal graph into a knowledge graph for storage in a graph database. The device makes the graph database available to an artificial intelligence model that issues queries to detect security threats to the cloud computing environment.

The embodiments of the present application relate to the technical field of terminals. Provided are a rendering processing method and an electronic device. The method comprises: determining a plurality of rendering instructions corresponding to first graphic data to be rendered of a first application program, wherein the plurality of rendering instructions include a first rendering instruction; and then reading, from a graphics processing unit (GPU) memory, a first rendering resource corresponding to the first rendering instruction, and executing the plurality of rendering instructions on the basis of rendering resources respectively corresponding to the plurality of rendering instructions, so as to render the first graphic data. In this way, a rendering resource is read from a GPU memory, so as to reduce data interaction between a GPU and a main memory, thereby reducing the bandwidth consumption of a terminal device.

The invention relates to the technical field of system application, and discloses an online document processing method and system based on structured storage, and the method comprises the steps: splitting content elements of an online document into blocks, and carrying out structured storage as independent objects; querying basic information of the document, loading data according to a document block pageBlockId list, creating a component according to the loaded data, constructing a component tree, and performing document rendering by using a lazy loading technology; the method comprises the following steps: abstracting documents and document blocks as objects, synchronizing the objects to a graphic database, modeling a relationship between the documents and the document blocks as an edge in the graphic database, and converting the relationship between the documents into a graphic data structure; when the document content changes, the storage interface is called to store the changed document block, and the online document is automatically stored, the document content is structurally stored in the block form, dynamic updating of the online document is achieved, the reference relation between the documents is stored and managed, and the relation between the documents is visually and clearly displayed.

Disclosed is a mutually generative artificial intelligence system based on multi-dimensional spatiotemporal information vector graphics, relating to the field of artificial intelligence and engineering applications. Based on a geographic information system (GIS) or a computer-aided design (CAD) platform and a data source, a multi-dimensional vector spatiotemporal large model terminal, a multi-dimensional spatiotemporal information processing agent terminal, and an intelligent information system application terminal are constructed. For multi-dimensional spatiotemporal data such as two-dimensional and three-dimensional vectors and temporal states, a multimodal spatiotemporal large model having an understanding capacity for an engineering professional knowledge system, a data processing flow, multi-dimensional vector graphics, and thematic graphics-text documents is pre-trained to achieve the mutual expression and generation of engineering multi-dimensional vector graphics and thematic graphics-text documents and to form an intelligent engineering graphic data processing application.

The concepts and technologies disclosed herein are directed to software runtime assisted co-processing acceleration with a memory hierarchy augmented with compute elements. An example system disclosed herein includes one or more switches and a plurality of hardware compute nodes connected via the one or more switches. Each hardware compute node of the plurality of hardware compute nodes includes an in-memory compute (IMC) element configured to perform in-memory processing operations on data, such as graph data. The system also includes a near-memory compute (NMC) element configured to perform near-memory processing operations on the data. The system also includes a far-memory compute (FMC) element configured to perform far-memory processing operations on the data.

The invention discloses a composite insulator fault detection method based on YOLOV8, and relates to the technical field of graphic data reading, and the method comprises the steps: synchronously collecting an infrared image and a visible light image of a composite insulator, taking the infrared image and the visible light image as dual-mode images, carrying out the cooperative preprocessing, obtaining a registered dual-mode image, and generating a significance hot area graph; constructing an improved target detection network, and inputting the registered bimodal image into the improved target detection network to obtain a detection result of the composite insulator and a pixel-level contour of a fault area; obtaining a final overheating grade based on a physical mechanism diagnosis model, and calculating an intensity loss rate estimated value of a current fault based on a pixel-level contour of a fault area; and generating and outputting a structured diagnosis report based on the fault type, the absolute temperature data matrix, the final overheating level, the strength loss rate estimated value and the fault area pixel level contour. According to the invention, the technical problem of poor detection effect caused by incomplete composite insulator fault detection in the prior art is solved.

The invention provides an artificial intelligence-based city scene generation method and a computer readable storage medium, and the method comprises the steps: firstly, carrying out the automatic recognition and extraction of different functional regions based on input graphic data, and carrying out the vectorization of the different functional regions into polygons with structural features; matching a three-dimensional model from a model library according to polygon features and generating an initial layout containing positions and orientations; constructing a differentiable boundary constraint function for each functional region to define a legal region; then defining a differentiable objective function including a boundary loss item and a collision loss item; and finally, by taking the initial layout as a starting point, optimizing an objective function through a gradient descent method, and iteratively adjusting the layout of each three-dimensional model to obtain a final city scene. According to the method, the spatial layout rule is converted into the computable loss function through the differentiable optimization framework, the automatic and intelligent generation of the city scene is realized, the layout generation efficiency is effectively improved, and the layout rationality is ensured.

The invention discloses a laser processing error compensation method and a processing system, and the method comprises the following steps: based on target processing graphic data, setting a decomposition step length and a galvanometer refresh cycle of laser processing, and planning a target axis track and a target galvanometer track; before machining is started, the shaft is driven to move along a preset empty track, actual motion coordinate information on a plurality of preset points is recorded, and coordinate information of the next point position of the shaft is predicted according to the coordinate information; calculating deviation information based on the actual coordinate information of the current point location on the target axis track, and correcting the track between the current point location and the next point location of the axis by using the deviation information; obtaining the correction information of the galvanometer on the corresponding galvanometer track based on the correction information of the track between the current point location and the next point location of the shaft; and the correction information of the galvanometer is issued to the galvanometer to compensate the actual position of the galvanometer, and then laser machining is started. Various machining errors are effectively compensated, and the machining precision and the product quality are improved.

The invention discloses a power grid marketing and distribution graphic data batch treatment method and system based on a power grid topological structure, and the method is characterized in that the method comprises the following steps: collecting power grid equipment graphic data, and carrying out the data association and integration through the power grid topological structure; performing regional distribution analysis on a power grid graph data checking result, and collecting problem scenes; performing meter box recall on the abnormal marketing meter box data of the problem scene in batches; the data is visually displayed based on a geographic information system, the data is further analyzed according to the interactive operation of the user, and batch treatment is automatically carried out.

The invention relates to a method and device for automatically generating an equipment data report based on a drawing and a storage medium, and is applied to the technical field of equipment drawing recognition. Comparing the vector graphic data with preset graphic data to extract signal equipment information of the vector graphic data; obtaining geometric features and associated attribute texts in the signal equipment information, and generating structured equipment data; associating the structured equipment data with the station yard BIM model to realize binding of lightweight data with machine account information; obtaining a query condition input by a user, developing a natural language understanding engine based on the BERT model to perform joint indexing of time dimension and space dimension on the query condition input by the user, and obtaining target equipment; and matching the target equipment with a preset report template, and generating a multi-dimensional statistical report through the preset report template.

Methods, computer systems, and computer-storage media are provided for facilitating implementation of high dynamic range display technology in a remote desktop environment. In embodiments, graphical data is obtained, at a video driver of a remote desktop server, for presenting in association with a remote desktop client device. The graphical data is provided to a high dynamic range (HDR) video encoder, logically separated from the video driver, based on an indication to use the HDR video encoder to encode. Thereafter, the graphical data is encoded via the HDR video encoder, and such encoded graphical data is provided to a remote access protocol stack in a terminal service of the remote desktop server for transmitting the encoded graphical data to the remote desktop client device associated with the HDR monitor.

Methods and system are disclosed to implement an interactive companion table alongside graphical data visualizations within a computing environment, aimed at enriching data analysis and interpretation. The underlying numerical data of the graphs are displayed through a specialized table and responses to user interactions between the graphs and the table are highly synchronized with the establishment of the bidirectional links between each graph and its corresponding cells in the table. The method encompasses several key procedures: initializing a table object, accessing graphs in the active data visualization, incorporating cell blocks to represent data elements of graphs, adding bidirectional links, refreshing the table display, and handling user interactions. The methods and system enhance the data analysis experience by closely integrating visual and numerical information and is especially useful in areas that demand an in-depth examination of data alongside a broad visualization, including financial analysis, scientific research, and business intelligence.

The invention relates to the technical field of graphic data reading, and particularly discloses a sign language recognition training data generation method and system based on multi-modal data enhancement, and the method comprises the steps: a sign language recognition assembly reads multi-modal data of a to-be-recognized sample based on a sampling device, and achieves multi-modal synchronous resampling; performing graph quality evaluation frame by frame after resampling, and outputting a graph quality evaluation result; screening the boundary candidate frame set frame by frame based on a graph quality evaluation result to form an action slice group of the to-be-identified sample; and finally, firstly matching a data enhancement initial strategy for each action slice, then optimizing the initial strategy based on a dynamic and static hierarchical labeling result to obtain a data enhancement execution strategy, executing multi-modal consistent data enhancement on the action slices according to the strategy, and writing the data enhancement into a training sample set. And the enhancement type and strength are adaptively adjusted along with the slice quality form and the dynamic and static structure, and finally a training data set for sign language recognition component training is formed.

The invention relates to an intelligent graphic processing acceleration method and system based on multi-mode strategy collaboration, and the method comprises the steps: obtaining the calculation demand data of a graphic processing task, carrying out the hardware resource demand calculation based on the calculation demand data, and obtaining a hardware resource distribution scheme; obtaining input graphic data of the graphic processing task, and carrying out multi-mode strategy construction on the input graphic data and the hardware resource allocation scheme to obtain a multi-mode adaptive processing strategy; performing dynamic power consumption configuration activation based on the multi-mode adaptive processing strategy to obtain activated calculation module type information, and performing storage resource partition scheduling on a preset shared storage space to obtain a storage partition result; and constructing a channel arbitration strategy according to the multi-mode self-adaptive processing strategy, the activation calculation module type information and a storage partition result to obtain a graphic processing acceleration scheme. The processing mode can be dynamically adjusted according to different graphic data features, and the limitation of a single strategy is overcome.

A harvester includes a first electromagnetic detecting and ranging module for detecting the location of a receiving vehicle and a second electromagnetic detecting and ranging module for detecting at least one of a fill level and a distribution of processed crop in a grain bin of the receiving vehicle. One or more computing devices are configured to receive first data from the first electromagnetic detecting and ranging module, receive second data from the second electromagnetic detecting and ranging module and use the first data and the second data to generate graphic data defining a graphical representation illustrating the relative positions of an unload conveyor of the harvester and the grain bin and illustrating at least one of a fill level and a distribution of processed crop in the grain bin. An electronic device is configured to use the graphic data to present the graphical representation on a graphical user interface.

A graph database stores a knowledge graph (KG), wherein nodes and edges of the knowledge graph (KG) store knowledge about a supply chain, wherein the nodes represent entities in the supply chain and the edges represent relationships among the entities, and wherein the entities are in particular suppliers, branches, industries, countries, products and / or materials. A graph-to-text encoder (ENC) encodes the knowledge graph (KG) into a knowledge graph description (KGD). A network interface prompts a large language model (CA) with the knowledge graph description (KGD) and receives at least one prediction (P) from the large language model (CA), wherein each prediction (P) contains a critical path in the supply chain and in particular a corresponding explanatory statement. A user interface outputs at least one of the predictions (P). The approach differs from traditional critical path identification methods in knowledge graphs by integrating global graph structures and utilizing pre-trained LLMs, which makes the reasoning faster, more stable, and explainable. LLMs can not only analyze the topological knowledge graph information but also leverage their world knowledge for better path identification. The described framework is easy to deploy and compatible with multiple platforms. It can be combined with a user-friendly interface to illustrate the reasoning results.

In various examples, an augmented, mixed, or virtual reality device comprising a camera and a display may determine first storage buffer with a first bin in a physical environment. The augmented, mixed, or virtual reality device may generate a first virtual object including a first virtual bin, the first virtual object corresponding to the first storage buffer and the first virtual bin corresponding to the first bin. The augmented, mixed, or virtual reality device may receive first data indicating a first object located in the first bin. First graphical data highlighting the first virtual bin may be generated. The first graphical data highlighting at least the portion of the first virtual bin on a first portion of the display may be generated. The first portion of the display may overlay at least a portion of the first bin in a field of view of the camera.

Methods, computer systems, and computer-storage media are provided for facilitating advanced video encoding in a remote desktop environment. In embodiments, graphical data for presenting in association with a remote desktop client device is obtained at a video driver of a remote desktop server. The graphical data may be provided to a video encoder logically separated from the video driver. The video encoder can then encode the graphical data. The encoded graphical data may be provided to a remote access protocol stack in a terminal service of the remote desktop server for transmitting the encoded graphical data to the remote desktop client device.

The invention relates to the technical field of data processing, and discloses a visual large-screen dynamic display method and system based on data driving, and the method comprises the steps: collecting business scene demand data, generating a display logic configuration instruction, and setting a display content type, a spatial layout and an interaction mode; the calling data interface is connected with a background storage system and obtains service data in real time through the data stream processing module; performing time sequence analysis, sliding window detection and association rule calculation on the data to obtain a freshness index, an abnormal fluctuation parameter and a coupling degree, and judging whether abnormal fusing is triggered or not; performing exception filtering and standardization on the processed data, mapping the processed data into a graph data structure, optimizing layout through the Fresnel's law, adjusting color matching through a color contrast algorithm, and generating a chart graph; and dynamically refreshing the interface by the rendering engine. According to the method, on-demand customization and dynamic adaptation are realized, and the influence of wrong data on the accuracy of a large screen is avoided.

An apparatus to facilitate graphics data processing trust using multiple roots of trust and runtime attestation is disclosed. The apparatus includes a graphics processor to: collect, using a hardware root-of-trust (RoT), first measurements from a physical partition manager (PPM); generate, using the first measurements, a PPM compound device identifier (CDI) to securely bind to the PPM; collect, using the PPM, second measurements from a logical partition manager (LPM); generate, using the second measurements and the PPM CDI, a LPM CDI to securely bind to the LPM; collect, using the LPM, third measurements from a graphics tenant partition of the graphics processor, the graphics tenant partition comprises a confidential compute (CC) environment to run a workload of a host tenant partition; and generate, using the third measurements and the LPM CDI, a GPUN-TDn CDI for the graphics tenant partition to be securely bound to the graphics tenant partition.

A graphics processing unit having multiple groups of processor cores for rendering graphics data for allocated tiles and outputting the processed data to regions of a memory resource. Scheduling logic allocates sets of tiles to the groups to perform a first render, and at a time when at least one of the groups has not completed processing its allocated sets as part of the first render, allocates at least one set of tiles for a second render to one of the other groups for processing. Progress indication logic indicates progress of the first render, indicating regions of the memory resource for which processing for the first render has been completed. Progress check logic checks the progress indication in response to a request for access to a region of the memory resource as part of the second render and enables access to that region of the resource in response to an indication that processing for the first render has been completed for that region.

This invention relates to the field of computer graphics data processing technology, specifically a method for hot-plugging dynamic outer contour meshes driven by three-dimensional spatial domain and time slices. The steps include: S1, receiving air traffic control message information in real time via a transmission protocol, converting geographic coordinates into target world coordinates, and simultaneously generating management files; S2, constructing a spatial domain mesh in real time based on the four types of management files using a combination of outer contour extrusion and ear-cutting methods; S3, mapping the spatial domain ID and time slice from the message to the spatial domain mesh constructed in S2, constructing a double-key hash index of spatial domain ID and time slice, which serves as the sole basis for the hot-plug manager to determine whether to update or create a mesh, dynamically executing spatial domain mesh hot-plugging. Employing the contour extrusion-ear-cutting method and vertex cache reuse mechanism, combined with the "spatial domain ID and time slice" double-key hash index, it supports dynamic construction and hot-plugging operations of the mesh model, meeting the low-latency rendering requirements of real-time air traffic control data.

A method of generating graphics output for a video gaming system comprises using an artificial neural network 210 (ANN) to perform multi-frame super resolution (MFSR), based on input graphics data fro

This specification discloses a data processing and visualization method, apparatus, medium, and device, which relate to the computer technology field. The method includes selecting a data platform to acquire source data of a target company, organizing the source data and loading it into a data system as a source database table, performing primary data operations to process the source data into target data, performing secondary data operations to process the target data into value-added data, performing tertiary data operations to process related data into graphical data, and performing data visualization to render the graphical data into a visualization diagram. The method of the present invention at least partially solves the problems of inability to timely and completely acquire source data and inability to effectively utilize source data without processing it, thereby improving data processing efficiency, increasing the accuracy of data analysis of the target company through data modeling, and automatically combining background data with front-end displays such as panel interfaces through data visualization, thereby improving the effectiveness of data presentation and the availability of the data system.

The invention relates to the technical field of computer graphic data processing, and belongs to a three-dimensional airspace and time slice driven dynamic outer contour grid hot plug method, which comprises the following steps of: S1, receiving air traffic control message information in real time through a transmission protocol, converting geographic coordinates into target world coordinates, and generating a management file at the same time; s2, based on the four types of management files, constructing an airspace grid in real time by combining outer contour extrusion with an ear cutting method; and S3, mapping with the airspace grid constructed in the S2 according to an airspace ID and a time slice transmitted by a message, constructing an airspace ID and time slice double-bond hash index, and dynamically executing airspace grid hot plugging as a unique basis for a hot plugging manager to judge whether to update or newly build the grid. A contour extrusion-ear cutting method and a vertex cache multiplexing mechanism are adopted, in combination with'airspace ID and time slice 'double-bond hash index, dynamic construction and hot plug operation of a grid model are supported, and the low-delay rendering requirement of real-time air traffic control data is met.