904results about "Drawing from basic elements" patented technology

Technology is disclosed herein for the integration of spreadsheet environments with LLM services. In an implementation, an application service receives a natural language input from a user associated with a spreadsheet hosted by a spreadsheet application. The application service generates a prompt based on the natural language input which includes asking a large language model (LLM) service to classify a statement in the input as referring to one of multiple capabilities of the spreadsheet application. The application service inputs the prompt to the LLM service and receives an output from the LLM service which identifies a determined one of the multiple capabilities. The application service generates a revised prompt based on the input and the determined one of the multiple capabilities and inputs the revised prompt to the LLM service.

Systems and methods are provided for generating visualization data associated with raw data using a machine learning model. For example, the machine learning model may automatically generate a set of candidate analytics and / or a scenario for visualizing the raw data based on summary data. Given the summary data and answers to prompts for visualizing data, the generated candidate analytics may reflect a context of the raw data as intended by the user. A visualization code scaffold according to a visualization specification may be used to generate programmatic output that corresponds to the candidate analytics, which may thus be used to generate a visualization accordingly. In some examples, an infographic may further be generated based on the visualization and a prompt using a diffusion model.

The invention discloses an AI diffusion model pattern generation platform and method, the generation platform comprises a visual interaction module, an image generation module and a pattern mapping module, and the image generation module comprises a training sub-module and a reasoning sub-module; the generation method comprises the following steps: preprocessing a text input by a user and an optional structure image, and outputting standardized data; a semantic embedding vector is generated through text coding; carrying out LoRA fine tuning to obtain a style weight module; a ControlNet structure condition is injected; performing diffusion sampling to generate candidate patterns; performing CLIP scoring to screen an optimal pattern; and outputting the optimal pattern and previewing the carrier map. According to the platform and the method provided by the invention, the LoRA low-rank fine tuning, the ControlNet structure condition control and the CLIP similarity evaluation algorithm are fused, so that the effects of customizing the special style pattern with a small number of samples at low cost and accurately controlling the structure and style of the pattern are realized.

One or more systems, devices, computer program products and / or computer-implemented methods of use provided herein relate to assessing certainty of artificial intelligence models used for detection or segmentation of pathologies. Accordingly, a system can comprise a memory that can store computer executable components. The system can further comprise a processor that can execute at least one of the computer executable components. The computer executable components can comprise a synthetic data generation component that generates biologically-inspired synthetic data that approximates a task-specific data manifold of a medical image from a radiomic features perspective; an artificial intelligence component that uses an artificial intelligence model to learn relevant representations of the synthetic data for an at least one image task; and a training component that utilizes the relevant representations and the artificial intelligence model to generate a task-specific model for the at least one image analysis task.

Described is a system for generation location visualization on a map interface by identifying a current location of a user that is initiating an interaction function of an interaction client; identifying a map corresponding to the current location of the user; identifying one or more map tiles associated with the map; receiving historical location data of the user that is associated with the current location of the user; converting the historical location data into an overall polygon that is comprised of a plurality of polygons based on the identified one or more map tiles; and displaying the map with the plurality of polygons on a user interface.

A turn-to-turn short-circuit fault diagnosis method and system for a reactor, and a medium. The method comprises: using operating data of a reactor to be tested to plot a target Bowditch curve of said reactor (101); calculating feature parameters of the target Bowditch curve (102); inputting the target Bowditch curve into a preset embedded target diagnosis network model, so as to extract a feature map of the target Bowditch curve (103); using the feature parameters and the feature map of the target Bowditch curve to generate feature information (104); and comparing whether the feature information is consistent with preset feature information, and on the basis of a comparison result, determining a fault state of said reactor (105). The method solves the technical problem of existing detection methods having poor sensitivity and being unable to detect incipient turn-to-turn short-circuit conditions of reactors in a timely manner, and realizes the real-time detection and determination of turn-to-turn short-circuit faults in dry-type air-core reactors.

The invention discloses an industry and trade enterprise public health service resource optimization decision support system, and relates to the technical field of public health management, and the system comprises a data perception and access layer, a semantic fusion and modeling layer, a knowledge graph and risk calculation layer, an intelligent early warning and decision layer, and a feedback optimization closed loop. Multi-source heterogeneous data are collected through a protocol adapter, a unified data view is constructed through industry and trade public health field ontology semantic fusion, a space-time knowledge graph is dynamically generated, risks are deduced in combination with an improved SEIR space-time propagation model and a Monte Carlo method, visual early warning and interactive decision making are achieved based on digital twinborn bodies, and the method is applied to the field of industry and trade public health. According to the method, data islands can be broken, accurate advanced early warning of public health risks is realized, resource allocation is optimized, and the method is suitable for industry and trade enterprises with dense personnel such as machine manufacturing and electronic processing.

The invention discloses a visual drawing method and device for an inland ship navigation trajectory and a medium, and the method comprises the steps: collecting GPS positioning data, AIS dynamic parameters and static attribute data of a ship through a ship terminal, carrying out the preprocessing of the GPS positioning data and the AIS dynamic parameters, and storing the processed data in a database according to a timestamp index; calling a geocoding service interface, mapping the processed longitude and latitude coordinates of the ship to an electronic navigation channel chart coordinate system, and periodically updating a ship position mark in an electronic map interface; in response to a time period query instruction input by a user, extracting ship track point data corresponding to the timestamp sequence from the database, and superposing the ship track point data to the electronic channel chart to generate a dynamic track line; a user operation instruction is received through the time axis control, the ship mark position and the course display state on the trajectory line are dynamically adjusted, and visualized backtracking of the historical trajectory of the ship is achieved.

The invention discloses a polygonal and quadrilateral mesh automatic subdivision method based on deep reinforcement learning, relates to the field of computational geometry and mesh generation, and constructs an automatic subdivision framework fusing geometric priori knowledge and a data driving strategy. According to the method, nine basic topology filling templates covering triangles to hexagons are predefined as discrete action spaces, and continuous geometric segmentation is converted into a sequence decision problem; learning a mapping relation between the polygon state characteristics and the optimal template selection strategy by using a deep Q network, and balancing exploration and utilization through a dynamic epsilon-greedy mechanism; and in combination with a vertex number priority scheduling strategy and a multi-dimensional quality award function, guiding an intelligent agent to adaptively generate a high-quality quadrilateral grid. According to the method, full-automatic and high-robustness subdivision of the complex polygon area is achieved, the grid orthogonality and the length-width ratio quality are remarkably improved, manual intervention is avoided, and the method is suitable for engineering scenes such as finite element analysis.

The embodiment of the invention discloses a method and device for generating a dam surface settlement cloud picture based on a self-adaptive interpolation model. A specific embodiment of the method comprises the steps of performing feature extraction on multi-dimensional monitoring point data of a preset dam structure to generate a dam body scene portrait; according to the dam body scene portrait, generating an optimal interpolation algorithm; optimizing the optimal interpolation algorithm to generate an optimized interpolation algorithm; generating a non-oscillation cloud picture according to dam body physical attributes of a preset dam structure and an optimization interpolation algorithm; performing preset-size grid block division on the non-oscillation cloud picture to generate a cloud picture grid node set; performing parallel processing on each cloud picture grid node in the cloud picture grid node set to generate an accelerated interpolation result; and performing incremental updating on the accelerated interpolation result to generate an updated interpolation result. According to the implementation mode, the accuracy, efficiency and engineering applicability of dam settlement interpolation are improved.

A system can be used to generate interactive data visualizations and textual content. The system receives a layout of a content item. The content item can be a data visualization dashboard or an article. The system can generate a content structure tree based on the layout. The content structure tree represents hierarchical and semantic relationships between sections of the content item. The system can receive input adding content elements, such as data visualizations or textual paragraphs, to sections within the content item. The system can identify text roles for different sections based on the content structure tree and the content elements. The system can generate text suggestions for the content item based on the text roles. The system can also generate text content for a text suggestion using a large language model, display the generated text content within the content item, and iteratively refine the content item.

The invention relates to the technical field of image processing, and discloses a robot welding track automatic generation method, which comprises the following steps: carrying out data cleaning on image data of a welding workpiece to obtain standard image data; performing downward sampling on the standard image data to obtain a differentiated resolution image, and performing edge feature enhancement on the differentiated resolution image according to a pyramid structure to obtain an enhanced feature map; according to gray level distribution in the enhanced feature map, generating a region mask, and carrying out shape boundary connection on the region mask to obtain weld contour data; welding track sampling points of a contour geometric boundary in the weld joint contour data are obtained, the welding track sampling points are connected according to weld joint shape characteristics, and an initial welding track is obtained; curvature optimization is conducted on sharp inflection points in the initial welding track, and a target welding track is obtained; encoding and packaging the target welding track, and transmitting the target welding track to the robot control terminal; the automatic generation efficiency of the welding track of the robot can be improved.

The invention discloses a rock unconventional reservoir carbon dioxide fracturing temperature field simulation method and system, and belongs to the technical field of oil and gas exploitation. Rock unconventional reservoir parameters and wellbore parameters are obtained, fluid physical property parameters of carbon dioxide fracturing fluid flowing in a wellbore are determined, and a multi-dimensional physical partition model is constructed; the unconventional reservoir is divided into a plurality of physical areas including a fluid flowing area, a static fluid area, a solid area and a porous medium area; thermal boundary conditions of all physical areas are coupled through an energy conservation equation, stratum elasticity modulus and Poisson's ratio are added to the thermal boundary conditions, a thermal-force coupling equation is constructed, carbon dioxide fracturing construction parameters obtained in real time are estimated, temperature field distribution nephograms of carbon dioxide fracturing fluid at different moments in the shaft flowing process are obtained, and the temperature field distribution nephograms of the carbon dioxide fracturing fluid at different moments are calculated. According to the method, the temperature distribution rule of different fracturing stages in the shaft-crack direction can be truly reflected.

The invention relates to a power grid multi-element flexibility resource pricing evaluation method and device and computer equipment. The method comprises the steps that an electricity consumption time sequence data set corresponding to multi-element flexibility resources is acquired; determining data categories corresponding to the electricity consumption time sequence data of the plurality of power distribution network users in the electricity consumption time sequence data set; obtaining an electricity price load associated image corresponding to each time sequence feature in the current data category according to the electricity consumption data of each time sequence feature and the electricity price data corresponding to the electricity consumption data in the current data category; inputting the electricity price load associated image corresponding to the current data category into a pre-trained relation curve extraction model to obtain a relation feature set between electricity price conditions corresponding to each time sequence feature in the current data category and electricity consumption; and according to the relation feature set, performing electricity price evaluation on the preset electricity consumption to obtain an electricity price evaluation result corresponding to the preset electricity consumption. Therefore, the accuracy of power pricing evaluation can be improved.

The invention discloses a power transmission pole foundation pit scanning sonar detection device, system and method based on an unmanned aerial vehicle, and the method comprises the steps: receiving a detection task instruction inputted by terminal equipment, carrying out the initialization and path planning according to the received detection task instruction, and carrying out the calibration; setting an automatic program; generating a defect identification result and an execution signal; performing visualization processing on the acquisition process and the execution process to generate a detection report and a defect distribution diagram; and carrying out quality analysis and classification processing. In the implementation process of the technical scheme, the detection task instruction is input through the terminal equipment, accurate positioning and automatic detection of the power transmission pole foundation pit are achieved, the execution signal is generated according to the defect recognition result, the unmanned aerial vehicle automatically executes the corresponding defect processing operation, and therefore the efficiency and accuracy of foundation pit detection are improved; and meanwhile, the collected data is visually displayed through the visual processing module, and a visual detection report and a defect distribution diagram are generated.

Disclosed are an intelligent map-making system and device for a We-map, which mainly include an intelligent map-making system for a We-map and an intelligent making device on a mobile terminal. The system includes: a We-map natural interaction making module based on gesture interaction, voice interaction and eye movement interaction, a multi-modal interaction data fusion device, a user portrait building module, a We-map self-adaptive designer and a We-map intelligent generator. The device includes a We-map natural interaction interface designer, a We-map mapping interface optimizer, a We-map data processor, a We-map memory and a We-map user manager.

To prevent reading errors of codes attached to workpieces being transported in logistics. A code reader system comprises: one or more sensors that detect a workpiece and measure dimensions of the workpiece; one or more cameras that capture at least one image of the workpiece; a decoding unit that performs decoding processing on at least one image; an output unit that outputs information indicating the reading stability for each surface of the workpiece using one or more cameras, based on installation information of the one or more sensors, installation information of the one or more cameras, conveying speed, and the workpiece dimensions; and a screen generation unit that generates a screen to display on a display device the results of the decoding processing of the code attached to the workpiece and information indicating the reading stability for each surface of the workpiece.

The invention relates to the technical field of landslide surges, in particular to a method and system for estimating the influence range of landslide surges. The method comprises the following steps: collecting a space boundary influenced by landslide, and dividing an initial risk area according to terrain, hydrological conditions and disaster-bearing body distribution; carrying out surge risk analysis based on the risk area; carrying out vulnerability analysis according to a surge risk analysis result, identifying a disaster-bearing body, and carrying out statistics on a space-time distribution probability; building wave resistance is evaluated based on surge climbing, and the loss quantity and economic loss are calculated; combining the surge risk analysis result and the vulnerability analysis result to obtain an initial surge risk assessment value; constructing a landslide surge influence program based on the initial surge risk assessment value, and inputting the initial surge risk assessment value into the landslide surge influence program to obtain an influence range of the landslide surge; and dividing risk grades according to the influence range of the landslide surge, and proposing a prevention and control measure scheme.

A method, system, and non-transitory computer readable medium includes providing, by the computing device, a hierarchal graphical user interface with selectable attributes and visualization options in response to a prompt from a client device. The hierarchal graphical user interface can be generated prior to the transmission to the client device. Next, the method can include generating, by the computing device, a report by inputting the prompt, selected attributes, and a selected visualization option into a machine learning model to generate the report. The machine learning model can be configured to use marketing data, building data, or combinations thereof for the generation of the report. Then, the method can include updating and providing, by the computing device, a modified hierarchal graphical user interface to the client device, where the modified hierarchal graphical user interface is the hierarchal graphical user interface modified to comprise the report.

An image processing system includes one or more processors operative to receive a graph application programming interface (API) call to add a complex node to a graph. The graph includes at least the complex node connected to other nodes by edges that are directed and acyclic. The one or more processors are further operative to process, by a graph compiler at compile time, the complex node by iteratively expanding the complex node into multiple nodes with each node corresponding to one operation in an image processing pipeline. The system further includes one or more target devices to execute executable code compiled from each node to perform operations of the image processing pipeline. The system further includes memory to store the graph compiler and the executable code.

A system is disclosed, comprising a processor and a memory. The memory stores instructions causing the processor to: generate a backtesting session view comprising a graph having a time axis and a historic instrument value axis, the view displaying a historic instrument mapped on the graph until a first simulation time; receive a first input indicative of a user selecting a jump from a goto menu, the jump being one of a next session jump, a next-day open jump, and a next silver bullet session jump, each jump associated with a goto option stored in the memory and having an indicator and a goto time value; advance the first simulation time until the first simulation time is equal to a next goto time value of a particular goto option having an activated indicator; and draw, in the view, the historic instrument on the graph up to the second simulation time.

Embodiments are disclosed for a data analysis tool for facilitating iterative and exploratory analysis of large sets of data. In some embodiments a data analysis tool includes a graphical user interface through which an interactive set of field identifiers is displayed. Each of the listed field identifiers may reference fields associated with a set of events returned in response to a search query, the set of events including machine data produced by components within an information technology (IT) environment that reflects activity in the IT environment. In response to user selections of field identifiers included in the displayed set, a data analysis tool may cause display of manipulable visualizations based on values included in fields referenced by the selected field identifiers.

Provided in the present disclosure are a virtual gift-based interaction method, and a related device. The method comprises: receiving a first image determined by a user in a virtual gift customized interface of a target livestream; in response to detection of a user instruction for transmitting a virtual gift, acquiring a second image corresponding to the target livestream; on the basis of the first image and the second image, generating a target virtual gift; and transmitting the target virtual gift to a livestream account associated with the target livestream.

The invention discloses a diabetic intestinal preparation quality prediction method based on SHAP, and relates to the technical field of medical artificial intelligence, and the method comprises the following steps: collecting clinical feature data of a diabetic, and carrying out the preprocessing of the clinical feature data; constructing a diabetic intestinal preparation quality prediction model, taking the preprocessed clinical feature data as model input, and taking the intestinal preparation qualification rate as output; and an SHAP interpretable artificial intelligence framework is introduced to analyze and attribut the prediction model. According to the method for predicting the intestinal preparation quality of the diabetic patient, the prediction model is constructed by integrating multi-dimensional clinical data and applying an ensemble learning algorithm, so that the prediction accuracy and stability are remarkably improved, the limitation that the traditional method depends on doctor experience is broken through, the judgment inconsistency caused by individual difference and diagnosis and treatment pressure is reduced, and the prediction accuracy and stability are improved. The interaction between the features is displayed through a visualization tool, and the interpretability and transparency of the model are enhanced.

The invention belongs to the technical field of energy planning, and discloses a coal mining area green electricity direct connection planning method and system, and the method comprises the steps: integrating geographic space information, obtaining a three-dimensional geographic space information database, carrying out the processing through a land recycling evaluation model, obtaining a thermodynamic diagram, and carrying out the quantitative analysis of the thermodynamic diagram, and obtaining the power generation amount. Processing and fusing by using a space-time convolutional neural network and a distributed intelligent sensing model to generate a meteorological database; analyzing by using a wind power and photovoltaic space-time output model to obtain a photovoltaic combined sample; processing by using the load prediction model to obtain a load prediction curve set; a source-load time sequence mismatch quantitative model is input for analysis, and an energy storage collaborative configuration scheme is obtained; inputting a multi-target line optimization model for analysis to obtain a direct connection line topological structure diagram; and performing data-driven optimization decision optimization to obtain a source storage load collaborative optimization model, and performing coal mining area green electricity direct connection planning through the source storage load collaborative optimization model. The green electricity is obtained through direct connection, and the cost is reduced.

Systems, methods, and computer-readable media are provided for triggering functionality on data to be generated in a user interface and / or data shown or visualized in a user interface based on a natural language request that references actions to be performed and data items to use in performing the actions. The user interface actions are triggered based on a structured object generated by a large language model (LLM), which may then be processed, validated, and used to carry out the actions. The LLM may be instructed to use control(s) of a displayed representation of a set of data, and the structured object generated by the LLM may cause updating, on the user interface, the displayed representation to reflect change(s) requested (e.g., to adjust filters, change a visualization or view, or zoom in or out on a set of multidimensional data). The control(s) may be selected from among representation transformation action(s) that are also available to be performed against the displayed representation via direct user input.

A method including receiving a three-dimensional scan of a coating that coats an object. The coating and the object, in combination, have a shape. The method also includes flattening the three-dimensional scan to generate flattened data. Flattening includes conforming scan data in the three-dimensional scan to zone data for zones of a layout. The zones represents sections of the shape cut along boundaries in the shape. Each of the zones represents a corresponding thickness of the coating in a corresponding section of the sections. The method also includes vectorizing the flattened data into a vector data structure. The method also includes generating a prediction whether one or more zones of the zones are out of an engineering tolerance for the coating. Generating the prediction is performed by a machine learning model that takes, as input, the vector data structure and produces, as output, the prediction.

An information processing apparatus includes an acquisition device that acquires input information, and an output device that generates content using a first element and a second element different from the first element, from the input information such that the content is acquired based on different elements.

The invention provides a pose map optimization method and device and XR equipment, and relates to the technical field of image processing, and the method comprises the following steps: calculating speedometer constraints between adjacent key frames; calculating a speedometer covariance matrix corresponding to speedometer constraints through an uncertainty propagation model; wherein the uncertainty propagation model is obtained by deducing an odometer constraint formula through an analytical method; calculating a loopback constraint between the current frame and the closed-loop candidate frame and a loopback covariance matrix corresponding to the loopback constraint; according to the speedometer constraint, the speedometer covariance matrix, the loopback constraint and the loopback covariance matrix, constructing a pose map optimization problem; and establishing a global information matrix, carrying out optimization solution on the global information matrix, and updating the pose of the key frame. The method can be operated in real time at an XR equipment end with limited computing power, low-delay and high-precision pose estimation is realized, and stronger robustness can be shown in a complex environment.

The invention discloses an assembly deviation interval rapid prediction method based on fuzzy comprehensive evaluation, and belongs to the field of assembly deviation interval prediction in the digital assembly process of aviation complex structural parts. The method comprises the following steps: constructing a simulation model of a target assembly body, executing Monte Carlo analysis, and extracting a manufacturing deviation value and an assembly deviation simulation value of a sampling sample; constructing a manufacturing deviation uncertainty quantitative model based on an assembly success rate function, wherein the assembly success rate function is obtained through probability density function integration and is defined as a fuzzy membership function; establishing an evaluation system containing three indexes of'over-small, moderate and over-large ', and calculating an assembly deviation comprehensive evaluation value; constructing a point cloud mapping model based on the assembly deviation simulation value of the sample and the assembly deviation comprehensive evaluation value, and fitting an assembly deviation prediction interval through a linear boundary function; and the accuracy of the prediction interval is verified through measured data. The method can rapidly and accurately predict the assembly deviation interval, reduces the calculation amount, and reflects the individual difference.