57 results about "Mapping algorithm" patented technology

The present application discloses a method for spectral prediction and closed-loop feedback wide-width corrugated box extended gamut flexographic pre-printing, belonging to the field of packaging engineering and printing technology. The method comprises: establishing a dot gain mapping function based on the Yule-Nielsen correction model by testing the roughness, ink absorption and surface energy of the corrugated paper; printing a CMYKOGV seven-color characteristic color card to generate an adaptive ICC profile; using the CIEDE2000 color difference formula and constant hue angle mapping algorithm for gamut compression and color separation; selecting a low-hardness flat-top dot flexographic plate and configuring a anisotropic screen roller; introducing the Walker-Fetsko rheological ink transfer equation during printing, combining with real-time feedback of an online spectrophotometer to dynamically adjust the printing pressure and ink viscosity, and realizing closed-loop compensation. The present application realizes high-precision simulation of more than 90% of the PANTONE spot color library, completely gets rid of the dependence on spot colors, significantly improves the color stability and production efficiency of wide-width flexographic printing, and is suitable for extended gamut pre-printing production of high-quality corrugated boxes.

The application discloses a method and system for predicting protein drug binding sites based on a multi-modal dynamic graph, comprising: obtaining amino acid sequence data and three-dimensional structure data of a protein, and generating evolutionary conservation features, structure graph topology features and sequence features respectively; inputting the features into a multi-modal fusion encoder to generate first fusion features; inputting the first fusion features into a prediction decoder to generate initial prediction probabilities; iteratively updating the structure graph topology features according to a preset three-graph update rule according to the initial prediction probabilities and residue dynamic communication scores; re-inputting the updated structure graph topology features into the multi-modal fusion encoder and the prediction decoder, and repeatedly executing until a preset iteration number is reached, to generate final prediction probabilities; and generating a residue importance heat map and outputting a prediction report based on the final prediction probabilities through a gradient weighted class activation mapping algorithm. The application realizes the cooperative optimization of prediction and graph structure, and significantly improves the accuracy of binding site prediction.

This invention relates to the field of orchard navigation technology, specifically a 3D method for orchard operations based on a grid map. The method includes: constructing an orchard point cloud map using a mapping algorithm; filtering the acquired 3D point cloud map and constructing a triangular grid map of the orchard, embedding the orchard's GPS information into the triangular grid map; based on the triangular grid map with GPS information, performing ICP registration between the point cloud data scanned by the LiDAR and the points on the triangular grid map using the RMCL 3D positioning algorithm, outputting the 3D pose of the operation robot in the orchard; updating the 3D pose of the operation robot in the orchard using GNSS information; planning the navigation path of the operation robot using grid navigation based on the GPS information of the target point; and controlling the operation robot to dynamically avoid obstacles and navigate to the target point. This invention enables precise positioning and autonomous navigation of the operation robot in hilly orchards, allowing it to complete tasks such as orchard inspection, plant protection, harvesting, and transportation.

This invention discloses a multimodal image real-time registration and fusion system and method for cardiac interventional surgery, comprising: a multimodal image acquisition module, an image data transmission module, an intraoperative twin image registration and analysis platform, an algorithm calculation module, a parameter adjustment module, and an image fusion output module. After acquiring image data, the multimodal image acquisition module sends it to the intraoperative twin image registration and analysis platform via the image data transmission module. The platform incorporates a cardiac deformation adaptive optical flow algorithm, a multi-resolution hierarchical mapping algorithm, and a large-deformation cardiac image registration algorithm. The algorithm calculation module performs registration calculations, and the parameter adjustment module optimizes the fusion parameters based on the calculation results. Finally, the image fusion output module generates and outputs the fused image. This invention achieves real-time and accurate multimodal image registration and fusion, providing reliable image support for cardiac interventional surgery and improving surgical accuracy and safety.

This invention belongs to, but is not limited to, the field of workpiece surface coating technology. It discloses an automated coating process and system based on intelligent collaborative control. The system uses a workpiece positioning sensor and an industrial CCD camera for collaborative positioning, adjusting the conveyor speed and positioning baffles to ensure precise workpiece stopping. The film stretching length is preset according to the workpiece size, fixed grippers clamp the film, auxiliary rollers guide its lowering, and the film roll fixing shaft damping stabilizes the initial tension. The movable grippers stretch the film, and combined with film tension sensor data and a tension-displacement nonlinear mapping algorithm, the stretching amount is controlled to 0.05mm. Using multiple parameters as input, the pressing pressure, cutting speed, and conveyor speed are optimized via a PID model. After cutting, the pressing device presses down, and the auxiliary rollers smooth the film. The grippers reset, and the conveyor outputs the workpiece for cyclical operation. This invention achieves high coating pass rate, improved efficiency, adaptability to multiple film materials, and reduced labor costs.

The application discloses a state machine-based WebXR gesture interaction method and device, which comprises the following steps: acquiring hand data of a user in real time through a WebXR device, performing gesture recognition on the hand data, and obtaining a gesture recognition result; inputting the gesture recognition result into a state machine, determining a target interaction state based on a current interaction state and the gesture recognition result through the state machine, and switching to the target interaction state; under the target interaction state, performing operation data calculation on the hand data according to a gesture mapping algorithm corresponding to the target interaction state, determining target 3D model operation data represented by the hand data; performing interactive operation on a target 3D model according to the model operation data, and driving a 3D rendering engine to update a visualized picture.

Systems and methods for determining the health status of a retina of a subject. An optical coherence tomography (OCT) volume image of a retina of a subject may be received. A health indication output is generated, via a deep learning model, using the OCT volume image. The health indication output indicates a level of association between the OCT volume image and a selected health status category for the retina. A map output for the deep learning model is generated using a saliency mapping algorithm, generating a map output for the deep learning model using a saliency mapping algorithm. The map output indicates a level of contribution of a set of regions in the OCT volume image to the health indication output generated by the deep learning model.

The application discloses a kind of based on deep learning's thermal infrared image small target detection method, this mainly first constructs high-quality true simulation dataset: adopts cyclic counter network to generate thermal infrared background image, generates simulation target in combination with point diffusion model, and synthesizes the simulation dataset with label by automatic mapping algorithm;Second, improve YOLOv8 network model, backbone network introduces windmill-shaped convolution and polarized self-attention mechanism, neck adopts bidirectional feature pyramid network, detection head adds small target layer and deletes large target layer, enhances small target feature extraction and positioning accuracy.The application solves the problems of thermal infrared small target detection dataset scarcity, target feature extraction difficulty and poor multi-scale adaptability, and improves the detection accuracy of the model on thermal infrared small target in complex background.

This invention discloses a YOLO-based remote sensing image detection method for river anomalies, belonging to the field of remote sensing image processing technology. This scheme utilizes a YOLO network optimized with a multi-task loss function to achieve high-precision comprehensive identification of various river anomalies, such as personnel, shoreline garbage, and water pollution, greatly enriching the dimensions of intelligent water environment monitoring. Furthermore, after capturing polluted water areas, this invention creatively introduces a topological anchoring mechanism combining concentration gradient inverse estimation with semantic maps of shoreline physical materials. This not only accurately extracts physical vector trajectories pointing to the source along the gradient direction of water color, but also, by assigning differentiated probability weights to different shoreline materials for hidden sewage outlets, and combining this with a distance decay mapping algorithm, accurately maps and locks the final predicted sewage outlet coordinates to the shoreline material where pipelines are most easily hidden according to physical principles, breaking through the blind spots of traditional visual algorithms that easily violate physical principles.

The invention discloses a new-generation cryptographic system and method based on a physics quantum dynamic public key and a cloud entropy synchronous private key, a terminal, a server and a medium, and relates to the technical field of quantum information technology, cryptography and Internet of Things security crossing. The system comprises a terminal, a server and a cloud entropy synchronization private key library, and the terminal is configured to generate a quantum random number by using a quantum random number generation module, generate a synchronization parameter based on the quantum random number, and send the synchronization parameter or a physics quantum dynamic public key exported by the synchronization parameter to the cloud entropy synchronization server; and the terminal and the cloud entropy synchronization server are further configured to determine the same target entropy material from the cloud entropy synchronization private key library by applying the same cloud entropy mapping algorithm based on the synchronization parameter, and generate the same session key based on the target entropy material. According to the key system, non-interactive key establishment, forward secrecy and endogenous quantum computing attack resistance are realized.

This invention relates to the field of gateway access and discloses a gateway access system and method for smart door locks in campus dormitories. The system includes: continuously scanning the entry area by deploying multi-source sensing units to generate an event priority queue; triggering a multi-person joint identity verification process based on events in the event priority queue whose risk levels meet preset conditions, generating a joint risk probability distribution matrix; uploading the matrix to the dormitory building gateway, and forming a candidate protection event set by combining the operating status and time node characteristics of the door lock node and monitoring node; generating door lock control commands based on the candidate protection event set and the corresponding time node joint risk probabilities through a door lock dynamic access control mechanism and a multi-level policy mapping algorithm; and forming a protection policy set by combining the risk changes of the candidate protection event set at different time nodes and updating protection parameters, sensing frame rate, and multi-factor verification rules through algorithms. This invention has the advantage of improving security.

This invention relates to the field of panoramic display device technology, specifically to a 720-degree dome display method and system combined with a ground screen. The method includes: constructing a system coordinate system for the dome display system; performing a first mapping optimization on the dome based on the system coordinate system to obtain a first mapping algorithm; performing a second mapping optimization on the ground screen to obtain a second mapping algorithm; and performing a connection optimization on overlapping areas to obtain a connection area calibration algorithm. Addressing the problem of insufficient immersion in existing whole-dome panoramic devices, this invention replaces the traditional whole-dome stitching scheme with a ground screen combined with a dome. By cropping the dome from the ground screen and mapping corresponding images to corresponding positions on the ground screen, it replaces the traditional lower hemisphere and corridor, providing both display and walking functions. Furthermore, a fusion algorithm is used for seamless display of the transition area between the dome and the ground screen, improving the overall immersive experience.

This invention discloses a data glove for a teleoperation system and its control method. The data glove body is worn on the user's hand, and a signal transmission network is constructed between hand, wrist, and arm data units mounted on the glove body. Complete kinematic chain data from the shoulder joint to the finger joints is collected by each data unit and transmitted through the signal transmission network, including quaternion pose data and gesture data. The quaternion pose data is processed to obtain a spatial pose matrix, and the gesture data is processed using a gesture mapping algorithm to obtain a gesture sequence number. A master-slave mapping algorithm maps the workspace of the glove to the workspace of the slave device, thereby enabling the master device to freely control the slave robotic arm and execute specific complex task processes. This invention, through modular sensor layout and algorithm optimization, achieves precise, intuitive, and natural control of the slave robotic arm by the operator, reducing operational complexity and improving the user experience.

The application provides a fuzzy test method for multimodal large model application. According to a preset test requirement, a corresponding test mode is selected as a target test mode, and under the target test mode, a test input content is constructed based on a preset prompt word library to test the application model under test. Meanwhile, based on a 3D label mapping algorithm, dimension label processing is performed on the test output content to obtain target test output content including a label dimension. Finally, according to the label dimension of the target test output content, the risk level of the application model under test is determined, so that model test of the application model under test is realized.

This application discloses a data processing method, apparatus, and storage medium based on dynamic resource adaptation, relating to the field of data processing technology. The method includes: accessing rule execution result data under different rule development modes through a pre-configured unified data service registration interface; obtaining business source fields and establishing a mapping relationship between them and preset physical storage fields in the database using a dynamic field mapping algorithm. This algorithm allocates target physical fields based on the physical field resource pool status, combined with the business field type and length characteristics, while ensuring the continuity of historical data; initiating a rule trial run early warning process, calling the summary data query service, and intercepting anomalies in the summary record data according to monitoring thresholds; and dynamically generating rule execution task packages based on the data volume when no interception is triggered, calling the detailed data query service to obtain, parse, and display the data. This achieves efficient data adaptation and stable system operation in complex environments.

The present application relates to the technical field of intelligent packaging detection, and more particularly to a carton sealing abnormality detection method and system based on reflection sensing, which comprises constructing an adjustable physical detection channel, using a reflection type photoelectric sensing array to collect carton contour signals, and identifying sealing abnormality through adaptive threshold segmentation and an improved DTW algorithm; a confidence assessment model is constructed in combination with multi-modal data, and weighted exponential smoothing filtering is used to confirm effective abnormality; a PLC controller accurately separates abnormal cartons based on a predictive trajectory mapping algorithm, and device fault early warning is realized through edge computing cluster analysis. The present application can improve detection accuracy, reduce false positive rate and support intelligent maintenance.

This invention discloses an audio rendering method, apparatus, device, and computer-readable storage medium, applied in the field of computer technology. The method includes: extracting sound bed components, audio object components, and metadata from a spatial audio file; mapping the audio object components to virtual speaker channels for sound image localization based on the metadata, obtaining a first format file; mapping the sound bed components to a second format file; the second format file is a spherical format file; merging the first and second format files to obtain a target rendering file; and performing audio rendering based on the actual playback scene and the target rendering file. Compared to current uniform rendering, which results in poor audio rendering quality, this invention distinguishes between the rendering processes of objects and sound beds, and uses a mapping algorithm for sound image localization to achieve channel gain allocation. This avoids the sound image blurring caused by phase interference in traditional solutions, thus better preserving the creator's intent and sound field consistency, thereby improving the rendering effect.

The application discloses an off-chain multi-party authentication storage method and system, a storage medium and a program product. The method comprises the following steps: monitoring the CPU load and network bandwidth of the current node as real-time computing power indexes, and deciding whether the current data block is stored in a local cache layer or sunk to a shared storage layer based on a real-time mapping algorithm of the data layer and the real-time computing power indexes, adjusting the merging strategy of SSTable, and embedding a node computing power fingerprint containing the real-time computing power indexes in the metadata of the stored data block; a composite proof block is calculated and generated by RF nodes participating in storage; the composite proof block is used as the only verification basis of the blockchain proof of work (PoW) consensus, and after the verification signatures reaching the write consistency level CL_w are collected by the coordination node, the composite proof block is stored on the blockchain corresponding to the Token Range.

The present application belongs to the technical field of engineering structure optimization design, and discloses a kind of topological optimization method and equipment of three-dimensional curved surface composite material thin shell structure, steps are as follows: S1, using conformal geometric mapping algorithm three-dimensional curved surface grid is mapped to the parameterization coordinate of two-dimensional plane parameter domain angle-preserving, obtain the mapping relationship of three-dimensional curved surface composite material thin shell structure from three-dimensional curved surface to two-dimensional plane;S2, construct shell element stiffness matrix of finite element grid;S3, in two-dimensional plane parameter domain, with the relative density of shell element and the direction of element as design variable, establish the topological optimization model of finite element grid based on conformal mapping;S4, based on moving asymptote method and topological optimization model to update design variable;S5, based on the design variable and mapping relationship of updated inversion mapping back original three-dimensional curved surface, thus obtain the three-dimensional configuration of optimal material distribution of three-dimensional curved surface composite material thin shell structure.The present application improves optimization efficiency.

This invention discloses a distributed, block-based, multi-dimensional storage method and apparatus for seismic data volumes. The method includes: separating the header information from the seismic traces in the acquired seismic volume file and storing the header information in a preset storage space; determining multiple dimensions based on the keywords of the seismic traces to construct a multi-dimensional model; dividing the multi-dimensional model into multiple multi-dimensional data cubes and determining the name of each multi-dimensional data cube, as well as the extreme values ​​of operational values, the total number of location numbers, and the total number of multi-dimensional data cubes in each dimension; storing the multi-dimensional data cubes on a distributed storage system using a mapping algorithm; calculating the physical storage location of the target data based on the acquired target data information, and extracting the target data from the distributed storage system and / or the preset storage space. This method improves data storage flexibility and query efficiency by optimizing the seismic data storage structure and index calculation.

This invention provides an acoustic imaging method based on the enhancement of three-dimensional features of underwater targets, comprising: establishing an underwater three-dimensional acoustic imaging model; dividing the imaging area into multiple two-dimensional spherical slices centered at the sound source; discretizing each spherical slice into a set of grid points; constructing a signal receiving model; constructing a three-dimensional L1-TV norm optimization problem based on the underwater three-dimensional acoustic imaging model to enhance the three-dimensional features of the underwater target; decomposing the three-dimensional L1-TV norm optimization problem into several sub-problems using the alternating multiplier method; solving each sub-problem based on the Chambolle projection method and the near-end mapping algorithm to obtain its analytical or numerical solution, thereby achieving three-dimensional imaging of the underwater target. This invention effectively utilizes the three-dimensional features of the underwater imaging area and the contour information of the underwater target, resulting in fewer artifacts in the imaging results, clearer target contours, and improved imaging quality.

This invention discloses a user-side quantity and price bidding power dispatching method based on power flow section constraints, belonging to the field of power system operation and control technology. The method includes: obtaining the node section sensitivity matrix and the step-like quantity and price bidding curves of heterogeneous resources on the user side; using a high-dimensional topology manifold mapping algorithm to perform conformal aggregation of heterogeneous resources to obtain a standard bilateral resource dispatching model; using Clifford's algebra to construct a dispatching optimization model with the objective of maximizing total social welfare and including multiple vector-state power flow section constraints; solving the model to obtain the node marginal electricity price and preliminary dispatching plan, and implementing the dispatching. This invention addresses the spatial response topology distortion during the dimensionality reduction process of large-scale resource dispatching, and the difficulty in balancing clearing efficiency and global economic optimization under complex nonlinear security constraints of the power grid.

A digital space display system based on intelligent warehousing includes a map generation module, a data integration module, a data visualization module, an inventory synchronization engine, an interactive terminal, and a map interaction module. The map generation module generates a 3D digital space display of the warehouse based on warehouse drawings and equipment lists, supporting the import of CAD-formatted floor plans and Excel-formatted shelf lists, and automatically generates a 3D model through coordinate analysis and coordinate system mapping algorithms. The data integration module interfaces with the WMS system and hardware system, obtaining inbound / outbound instructions and inventory change data through API interfaces. The inventory synchronization engine is electrically connected to the data integration module and a local database, used to increase or decrease inventory based on the acquired data. After an inventory update, it triggers the data visualization module to refresh the inventory status indicator on the 3D digital space display. This invention enables visualization, automation, and real-time management of warehouses, improving management efficiency.

This invention relates to the field of coal mine safety training technology and discloses a mixed reality interactive guidance method for coal mine safety training. The method first acquires real-time operation data points of miners and uses these data points to complete the training iteration of a dynamic behavior mapping algorithm to achieve interactive guidance. In any training iteration phase, the current guidance node and a preset number of reference training iteration phases are acquired. Based on the proximity of the real-time operation data points to the nodes in each phase, the data points are assigned to the corresponding node datasets. Fuzzy nodes are obtained based on the intersection relationship between the current dataset of the guidance node and other node reference datasets. The response rate of each fuzzy node is calculated, and the training of the fuzzy nodes and guidance nodes is updated based on the response rate. Finally, the updated interactive guidance content is displayed in a mixed reality environment. This method breaks through the limitations of traditional fixed guidance, achieving dynamic, accurate, and personalized interactive guidance, improving training quality and miners' safe operation capabilities, and reducing the risk of safety accidents.

The application discloses a cross-platform user emotion intelligent advertisement delivery system and method and a storage medium. The system comprises a data acquisition layer, an emotion calculation engine, an intelligent matching module, etc. The intelligent matching module realizes intelligent matching of user emotional state and advertisement content. The method comprises matching the most suitable advertisement content through an emotion-content mapping algorithm based on the user life cycle state and emotional state. The application realizes accurate and personalized advertisement delivery by integrating multi-platform user data, emotion calculation and deep learning technology. Through cross-platform user behavior analysis, emotion state recognition and privacy protection calculation, the application realizes a 35-50% increase in advertisement delivery conversion rate while ensuring user privacy safety. The application solves the problems of cross-platform data island, lack of emotion, poor timeliness and insufficient privacy protection in the prior art, and can be widely applied in e-commerce, social media, online education and other fields.