30 results about "Data projection" patented technology

This device for generating crystal structure information on the basis of an artificial intelligence model comprises: a data preprocessing unit that constructs an interleaved dataset by arranging text and images to cross each other; a learning unit that includes a visual encoder for generating image feature data from the images, a language model for generating text-encoded data from the text, and a projector for converting the image feature data and the text-encoded data into data in a shareable form, learns a relationship between the images and the text on the basis of the converted data, initializes the projector, and then performs, on the basis of the interleaved dataset, fine tuning for simultaneously training the language model and the projector to perform condition learning for generating information, which satisfies a specific condition, and filling learning in a method for filling a masked portion; and an information generation unit for generating at least one piece of crystal structure information on the basis of a prompt input.

Methods and systems for displaying image data in a vehicle are disclosed herein. A method for displaying image data include providing initial and final projection surfaces; receiving a video stream and is buffered in a buffer storage, which is updated at a frame rate. The method includes reading out image data at a readout rate from the buffer at an initial readout instance, intermediate readout instances and a final readout instance. The method includes determining respective sets of initial and final sampling points on the projection surfaces. For each of the intermediate readout instances, the method includes determining intermediate sampling points, which interpolate between the final sampling points and the respective initial sampling points, and an intermediate projection surface containing the intermediate sampling points. The method includes projecting the read out image data to the respective intermediate projection surface and a corresponding image is displayed on a display device.

The application discloses a subspace parameter iterative estimation space-time adaptive detection method for a strong clutter environment. In view of the problem that in a space-time adaptive processing system, a target steering vector falls in a clutter subspace, main and auxiliary data exist power mismatch, and existing methods are difficult to effectively maximize the marginal likelihood, the application projects the main and auxiliary data to a low-dimensional coordinate domain to obtain sufficient statistics, regards the clutter coefficient as a hidden variable, and under two kinds of assumptions, respectively uses EM and ECME algorithms to iteratively maximize the marginal log-likelihood function, and obtains the stationary point estimation of the clutter covariance matrix, the power mismatch factor and the target complex amplitude after convergence, and simultaneously constructs three detection statistics, GLRT, Rao and Wald, according to the stationary point estimation, and compares with a pre-calibrated threshold to complete the judgment. The iterative process of the application has the guarantee of the monotone non-decreasing of the marginal log-likelihood, can effectively compensate for the main and auxiliary power mismatch, and can still maintain good detection performance under the condition of small training samples.

This invention discloses a method for detecting multi-channel constant-mode signals without prior electromagnetic interference, belonging to the field of radar signal processing technology. The method includes modeling multi-shot data received by a multi-channel antenna array to obtain high-dimensional multi-channel data; introducing weight vectors to project the high-dimensional multi-channel data onto a single channel for dimensionality reduction, resulting in single-channel weighted data; constructing a generalized likelihood ratio test detector without prior spatial electromagnetic interference information based on the probability density functions under two assumptions: the presence and absence of multi-channel constant-mode signals; and building an optimization model based on the generalized likelihood ratio test detector without prior spatial electromagnetic interference information. A hybrid optimization framework combining alternating optimization and alternating direction multiplier methods is used to solve the optimization model, obtaining the detection parameters and completing the multi-channel constant-mode detection.

The application discloses a kind of urban built-up area geological survey whole-process control method, system, equipment and medium, mainly related to geological survey technical field, to solve the problem that existing scheme is difficult to rely on underground structure data to realize collaborative collection dimension design and investigation area accurate division, stratum feature analysis lacks multidimensional environment acquisition data system support, lack of model dynamic replacement mechanism based on real-time environmental data. Including: based on the value range of underground structure data and stratum feature data, generate corresponding constraint condition;According to underground structure data, stratum feature data and constraint condition, construct geological three-dimensional model;When the threshold value comparison result of real-time environmental acquisition data corresponding to collaborative collection dimension triggers the preset replacement condition, project the latest real-time environmental acquisition data corresponding to collaborative collection dimension into geological three-dimensional model.

The application relates to the technical field of structural simulation interaction, in particular to a building structure simulation result visual interaction system, which comprises the following modules: a data analysis module, which is used for acquiring a geometric model and a finite element analysis result file in parallel and extracting a coordinate sequence; a grid mapping module, which is used for calling a shape function interpolation algorithm based on physical field data flow to calculate local coordinate weights and projecting data to rendering grid vertices; an interactive detection module, which is used for capturing virtual probe tip world coordinates in real time and logically searching for surrounding elements based on voxel indexes; and a dynamic rendering module, which is used for rendering an over-limit area in a highlighted flickering mode in an enhanced three-dimensional rendering model in response to a judgment signal. In the application, local grid subdivision is performed on a high stress area according to a stress gradient change rate, an enhanced three-dimensional rendering model is constructed, a Boolean operation cutting is performed along a principal stress direction, and a dynamic section view and a local contour map are generated.

This invention relates to the field of pedestrian trajectory prediction technology and discloses a pedestrian detection and trajectory prediction method based on a spatiotemporal joint attention mechanism. The method includes acquiring video images of the quay crane operation area and synchronous mechanical status data; projecting the mechanical status data onto an image plane to generate a dynamic occlusion mask; constructing an attention decay weight field based on the dynamic occlusion mask; using the attention decay weight field to correct the query and key feature similarity calculation of the spatiotemporal attention mechanism; and performing pedestrian bounding box detection and future trajectory sequence prediction based on the corrected spatiotemporal attention features. This invention, by introducing the mechanical motion parameters of the quay crane PLC to construct an occlusion thermal mask and guide the spatiotemporal attention calculation, can force the model to focus on the effective passable area under quay crane occlusion conditions.

The present application relates to the technical field of projection display, and discloses a method and system for projection screen light field display gain under ambient light. The method establishes a dynamic light field distribution model through real-time acquisition of ambient light data, projection screen data and projection device original output signal, and fusion processing. Based on the dynamic light field distribution model, adaptive genetic algorithm is used to optimize compensation weight, and a light field compensation parameter set is generated to perform reverse compensation processing on the original output signal in terms of brightness gain, contrast and chrominance offset, and generate an enhanced projection signal. The system includes multi-source data acquisition, light field feature extraction, dynamic compensation calculation, signal enhancement processing and closed-loop feedback control modules, ensures that the projection image maintains the best display effect under different ambient light conditions, and significantly improves the audience viewing experience.

The present application relates to the technical field of electrical detection, in particular to a kind of multi-stress coupling environment reliability test method of power utilization information acquisition terminal.The method includes applying combined stress field to power utilization information acquisition terminal by environmental test chamber;Obtaining power utilization information acquisition terminal parameters;Using electrical sensor to capture the metrology pulse response and carrier communication interaction signal of power utilization information acquisition terminal under the excitation of combined stress field, extracting carrier signal-to-noise ratio data and metrology reference drift data, generating reference voltage compensation coefficient and impedance matching threshold;Project carrier signal-to-noise ratio data to impedance matching threshold, and construct stress failure envelope according to hardware overload protection threshold;Map communication quality distortion residual vector to stress failure envelope, and calculate reliability life prediction value.The present application constructs unified excitation environment, and quantifies the performance degradation of different dimensions as cumulative stress damage integral, which is beneficial to truly reflect the comprehensive anti-interference capability of terminal in multi-stress coupling environment.

This application discloses a data processing method, apparatus, electronic device, and storage medium, comprising: acquiring sequence data to be processed, and projecting the sequence data to be processed into a first subspace, a second subspace, and a third subspace to generate first branch sequence data, a state space backbone subsequence, a state space gating subsequence, and third branch sequence data; performing local attention processing on the first branch sequence data to obtain a local attention result; determining a state space adjustment output based on the state space backbone subsequence and the state space gating subsequence; generating fusion weight information based on the third branch sequence data; and determining a fusion output result based on the fusion weight information, the local attention result, and the state space adjustment output; and fusing the fusion output result with the sequence data to be processed to obtain output features. This application can improve the ability to capture local fine-grained semantic dependencies and spatial correlation features.

Example methods and systems for image reconstruction using multiple image reconstruction chains for radiation therapy are described. In one example, a computer system may obtain projection image data 110 associated with a target structure within a patient. The computer system may generate, using a first image reconstruction chain 121, 122, 122N, first volume image data 131, 132, 132N based on the projection image data. The computer system may generate and display, on a display device, a first user interface (UI) 141 view for a user to interact with the first volume image data. The computer system may also generate, using a second image reconstruction chain, second volume image data based on at least one of the following: the projection image data and the first volume image data. The computer system may generate and display, on the display device, a second UI 142 view for the user to interact with the second volume image data.

An attraction system may include a projection mapped tangible show element with a first rigid body including a first shell coupled to a first tracker, a second rigid body including a second shell coupled to a second tracker, and a connection coupling the first rigid body and the second rigid body to one another. The connection may enable movement of the first rigid body relative to the second rigid body. The attraction system may also include an image sensor to generate sensor data indicative of a first position of the first rigid body and a second position of the second rigid body and a projector to project first image data on the first rigid body and second image data on the second rigid body.

The application discloses a robot motion control method based on time sequence modeling, and relates to the technical field of visual intelligence, and comprises the following steps: collecting time sequence image sequences in a robot motion process, and generating time sequence space contour point sets; establishing Cosserat rod state variables, and generating prediction continuous geometry description data; projecting to an image observation coordinate system, and generating a time sequence continuum state field; constructing an improved Neo-Hookean model, and generating a nonlinear stress field; iteratively correcting curvature variables, and generating a convergence curvature field; determining stress change amounts, and generating a time sequence updated continuum state field; generating a robot motion control target, and obtaining robot motion control instructions. The application introduces the Cosserat elastic rod theory and the improved Neo-Hookean model, and realizes high-precision motion control of a flexible robot in a continuous bending and complex twisting process.

This invention discloses a BEV (Bird's Eye View) visual fusion method and system for intelligent inland waterway monitoring. The method includes: generating a BEV using shore-based camera calibration and inverse perspective mapping (IPM); projecting electronic chart (ENC) data onto the same plane coordinates and performing online calibration using shoreline, fixed navigation marks, and other elements as references to suppress scale deviations caused by extrinsic parameter drift and water level changes; performing time alignment and forward extrapolation based on historical changes on Automatic Identification Information (AIS) data; combining this with vessel targets detected in the BEV view; using a matching range that automatically adjusts according to the scene to achieve spatiotemporal correspondence; and performing consistency checks based on the waterway centerline and navigation boundaries; and explicitly marking and alerting targets that do not correspond or exhibit anomalies. The method and system can operate in real-time on shore, enabling unified display and reliable identification of multi-source data. It effectively reduces mismatches and missed detections under conditions of dense vessel traffic, AIS message delays, and obstruction, improving the accuracy and availability of waterway traffic monitoring. The attached figure is a schematic diagram of the method flow of this invention.

The application discloses an intelligent tightening system and method based on projection guidance and machine vision, and belongs to the technical field of intelligent manufacturing and assembly process, which comprises a data processing module, a projection guidance module and a machine vision module.The data processing module is used for constructing a process database, generating a tightening process file of a workpiece to be tightened according to the process database, issuing data related to projection guidance and tightening execution operation according to the tightening process file, and processing and storing projection images, visual images and tightening data.The projection guidance module is used for guiding workpiece tightening operation and abnormity operation alarm by using the projection images.The machine vision module is used for collecting visual images of the workpiece to be tightened, detecting and matching the workpiece to be tightened, and identifying the tightening hole position of the workpiece to be tightened and the position of a tightening execution module.The tightening execution module is used for executing the tightening operation and collecting tightening data.The application can realize the visualization of tightening points, accurate guidance and intelligent control of tightening operation.

The application discloses a clean energy output prediction method and device based on meteorological mode identification and feature deviation correction, equipment and medium, including: constructing a daily scale meteorological feature vector according to a meteorological sample set; obtaining the membership of each meteorological sample under different meteorological modes, and determining the corresponding meteorological mode; screening the meteorological variables corresponding to each meteorological mode based on mutual information, and constructing the corresponding meteorological feature subspace, and obtaining the corresponding input vector based on the meteorological feature subspace and feature projection; constructing the corresponding clean energy output prediction model, and constructing a clean energy output prediction model set through a Bagging integration strategy; projecting the corrected to-be-predicted meteorological data to the meteorological feature subspace, and calling the corresponding clean energy output prediction model set to obtain a clean energy output prediction result. The application belongs to the field of energy prediction. The application can improve the accuracy of clean energy prediction.

Example methods and systems for image reconstruction using multiple image reconstruction chains for radiation therapy are described. In one example, a computer system may obtain projection image data associated with a target structure within a patient. The computer system may generate, using a first image reconstruction chain, first volume image data based on the projection image data. The computer system may generate and display, on a display device, a first user interface (UI) view for a user to interact with the first volume image data. The computer system may also generate, using a second image reconstruction chain, second volume image data based on at least one of the following: the projection image data and the first volume image data. The computer system may generate and display, on the display device, a second UI view for the user to interact with the second volume image data.

Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and method for configuring a three-dimensional (3D) model within a virtual conferencing system. The program and method provide, in association with designing a room for virtual conferencing, an interface for configuring a 3D model; receiving, via the interface, an indication of user input for setting properties for the 3D model, the properties specifying image data for projecting onto the 3D model; and in association with virtual conferencing, providing display of the room based on the properties for the 3D model, and causing the image data to be projected onto the 3D model within the room.

Image generation device for a vehicle, with: an image reference unit (F1) configured to receive multiple camera images obtained from multiple cameras configured to photograph the vehicle's surroundings; an image synthesis unit (F7) configured to project data from the majority of camera images onto a virtual projection surface corresponding to the vehicle's environment and to generate a synthetic image showing the vehicle's environment as viewed from a virtual viewpoint, using the data projected onto the projection surface; and a driving environment determination unit (F62) configured to determine, based on a signal from another on-board device of the vehicle, whether a driving environment of the vehicle is terrain or on a road, wherein the image synthesis unit (F7) is configured to change the shape of the projection surface used to generate the synthetic image, depending on whether the driving environment determination unit (F62) determines that the driving environment is terrain, the image synthesis unit (F7) is configured to generate the synthetic image by using a road projection surface with a predefined shape as the projection surface when the driving environment determination unit (F62) determines that the driving environment is on a road, and The image synthesis unit (F7) is configured to produce the synthetic image by using a terrain projection surface with a shape different from the shape of the road projection surface when the driving environment determination unit (F62) determines that the driving environment is terrain.

This invention relates to the field of cloud storage technology and discloses a cloud storage system for medical image archiving, comprising: a data segmentation unit for segmenting the body data to be archived to extract a metal mask; a first data projection unit for performing projection transformation on the metal mask to obtain a metal trace mask; a second data projection unit for performing projection transformation on the reference body data and the body data to be archived respectively to generate corresponding projection data maps; a data processing unit for calculating angular Fisher information within the projection angle range covered by the metal trace mask and forming an angle sequence; an unstable angle extraction unit for summarizing projection angles that meet the conditions based on feature value thresholds to obtain an unstable angle set; and a cloud storage unit for constructing angular channel incremental data and spatial channel incremental data based on the unstable angle set and completing cloud storage.

The application relates to the technical field of coal mine safety risk construction reasoning, and discloses a coal mine safety risk multi-modal knowledge graph construction and intelligent reasoning method, which comprises the following steps: constructing an ontology and coding a concept vector by using a pre-training model to establish a benchmark semantic space; extracting a time-space feature and projecting the time-space feature to the benchmark space to calculate a semantic similarity with the concept vector; synthesizing conflict evidence by using evidence theory to instantiate a node, generating a real-time dynamic graph, eliminating a redundant node to construct a Bayesian network, mapping a weight to execute propagation and output a posterior probability, quantifying an entropy value to measure uncertainty, and feeding back a control device to trigger reasoning iteration when the value exceeds a threshold. The application projects heterogeneous sensor time sequence data and monitoring video data into a unified dimension feature vector by constructing a benchmark semantic space aligned with a static ontology, introduces evidence theory to process semantic conflicts among multi-source evidence, and effectively solves the problem that different modal physical signals cannot be directly fused at a feature level.

A multi-agent collaborative control method and system for constructing a control plane core closed loop, a logical global unique authoritative state structure is constructed on the server as a unified data benchmark, and concurrent requests are classified and routed before execution, which are divided into core governance requests and state writeback requests; the core governance request is decided by the pre-action decision layer and enters the unified change pipeline, and the state writeback request is written into the authoritative state structure after the execution result, state summary or diagnostic information is semantically interpreted and absorbed by the controlled writeback channel; the system performs controlled submission on the state application result and writeback mapping result, generates an immutable event record, and outputs incremental data projection according to the updated authoritative state structure, wherein the runtime capability plane and external capability services do not have the right to directly write state updates to the authoritative state structure.

This invention relates to the field of oil and gas logging technology, and provides a three-dimensional quantitative fluorescence method for evaluating reservoir oil and gas in oil-based logging. The method comprises the following steps: Step S1, taking cuttings samples from the target formation of the oil well under oil-based drilling fluid conditions, and cleaning and drying the samples; Step S2, weighing 0.01g to 0.05g of cuttings samples, and using a three-dimensional fluorescence spectrometer to detect and analyze the samples, collecting spectra and detection data; Step S3, inputting the excitation wavelength, emission wavelength, and corresponding oil content data of the main peaks of the background and reservoir cuttings into a three-dimensional coordinate space to obtain a three-dimensional fluorescence data projection map of the background and reservoir cuttings. This invention establishes a three-dimensional quantitative fluorescence method for evaluating reservoir oil and gas contaminated by oil-based drilling fluid, reducing the impact of oil-based drilling fluid on oil and gas evaluation from the source of analysis. The method is convenient and effective, enriching the interpretation means of oil-based logging.

A projection smart contract includes a synchronized copy of a subset of data held in a private smart contract. The subset of data can include information required for an interaction with another private smart contract while omitting data from the first private smart contract that need not be shared for the transaction. The projection can also be permissioned to limit availability of even the subset of data to parties that require access to the subset of information. Thus, data can be shared between private smart contracts without disclosing private information within those smart contracts.

The application discloses a severe convective weather intelligent early warning method based on phased array weather radar cooperative networking, and belongs to the field of weather warning. The method comprises the following steps: S1, multiple phased array (dual-polarization) weather radars are used for cooperative networking observation to obtain high space-time resolution observation data; S2, quality control is performed on the obtained dual-polarization radar observation base data, including ground object clutter suppression, electromagnetic wave interference suppression, radial velocity deblurring and missing data filling; S3, the observation data of the multiple phased array weather radars are projected into three-dimensional grid point data in a Cartesian coordinate system, and data fusion processing is performed. The application has the beneficial effects that the severe convective weather intelligent early warning method based on phased array weather radar cooperative networking is provided, dual-polarization detection data and characteristic quantities thereof are added, and the recognition accuracy and suppression rate of ground object clutter are significantly improved.

A projection smart contract includes a synchronized copy of a subset of data held in a private smart contract. The subset of data can include information required for an interaction with another private smart contract while omitting data from the first private smart contract that need not be shared for the transaction. The projection can also be permissioned to limit availability of even the subset of data to parties that require access to the subset of information. Thus, data can be shared between private smart contracts without disclosing private information within those smart contracts.

The present application belongs to the technical field of super-thick large-section nodular cast iron parts, in particular to a super-thick large-section nodular cast iron part solidification characteristic identification method, which collects thick large-section nodular cast iron part hot spot center temperature time series data for a long time at high frequency, designs a Gaussian function weight calculation method, determines the temperature Gaussian function weighting range ≥ 5~10s, calculates the instantaneous temperature change rate by central difference, and the Gaussian function weighted average comfortable temperature change rate in the range of ≥180‑300s, fits the solidification process as a temperature change rate platform in a long time, effectively eliminates the fluctuation noise generated by long-time collection of molten iron temperature in actual production, adopts the temperature change platform change characteristics, combines the temperature time series data projection mode, forms a super-thick large-section nodular cast iron key solidification characteristic judgment and identification method, and provides a solidification theoretical basis for the development of nodular cast iron cast iron material research and optimization of production process.

The application discloses a kind of urban built-up area geological survey whole-process control method, system, equipment and medium, mainly related to geological survey technical field, to solve the problem that existing scheme is difficult to rely on underground structure data to realize collaborative collection dimension design and investigation area accurate division, stratum feature analysis lacks multidimensional environment acquisition data system support, lack of model dynamic replacement mechanism based on real-time environmental data. Including: based on the value range of underground structure data and stratum feature data, generate corresponding constraint condition;According to underground structure data, stratum feature data and constraint condition, construct geological three-dimensional model;When the threshold value comparison result of real-time environmental acquisition data corresponding to collaborative collection dimension triggers the preset replacement condition, project the latest real-time environmental acquisition data corresponding to collaborative collection dimension into geological three-dimensional model.

This information processing system comprises a stereo screen control unit. The stereo screen control unit selects, as appropriate data, stereo video data corresponding to a camera angle closest to a viewing attitude of a viewer, from among a plurality of pieces of stereo video data having different camera angles. The stereo screen control unit generates a billboard by projecting the appropriate data onto a stereo screen.