228 results about "Slicing" patented technology

The invention belongs to the technical field of geographic information technology and remote sensing image processing and service, and discloses a slice-free image service system and method based on dynamic projection and real-time mosaic, which abandons the traditional pre-slicing mode, directly provides online service based on original image data, and improves the service efficiency. The problem of redundant storage caused by pre-generation and storage of massive tiles is fundamentally eliminated, and storage space is saved by up to 90%. Meanwhile, when the original data is updated, the system does not need to carry out a time-consuming re-slicing process, real-time updating and publishing of services can be realized, and the core pain points of long data updating period and high delay in the traditional technology are thoroughly solved. Through the integrated dynamic projection engine and the real-time mosaic module, the on-demand service request of the client for any coordinate system, any spatial range and any resolution can be responded.

The invention discloses an XR-based immersive three-dimensional modeling and straight-through 3D printing system and method, and the method comprises the steps: S1, collecting user input, and converting the user input into an interaction instruction; s2, generating three-dimensional model data; s3, superposing the three-dimensional model into a real physical environment according to a proportion of 1: 1, and outputting a virtual-real fusion display result; s4, performing printability analysis on the model, marking a problem area, guiding a user to modify and providing an automatic repair suggestion; s5, generating a support structure, and providing visual preview and interactive editing; s6, slicing and path planning are executed, and a printing instruction file meeting the control requirement of the 3D printer is generated; s7, communication connection with the 3D printer is established, and printing state information is fed back; and S8, providing storage and calling support of the three-dimensional model file, parameter configuration and environment map data. According to the invention, seamless integration of immersive XR modeling, MR real-time verification and one-key direct-through 3D printing is realized.

The invention relates to the field of BIM model visualization, in particular to a BIM design terrain and GIS live-action texture fusion method, BIM design terrain and GIS live-action texture data are processed respectively, when GIS live-action texture data changes, data updating can be achieved only by replacing slice data, and the convenience of data updating is improved; according to the method, the relation between the image slice nodes of the GIS live-action texture data and the space coordinates of the BIM design terrain is established through the coordinate system transformation matrix, so that coordinate transformation between the image slice nodes and the space coordinates of the BIM design terrain is facilitated, the space coordinates of the BIM design terrain correspond to the texture coordinates of the GIS live-action texture data, and finally fusion of the BIM design terrain and the GIS live-action texture data is realized.

The invention discloses an unmanned aerial vehicle aerial photography water surface small target detection method and system based on dynamic slicing and correlation constraint, and belongs to the technical field of computer vision, artificial intelligence and geographic information processing, and the method comprises the steps: S1, data acquisition: obtaining high-resolution video stream data collected by an unmanned aerial vehicle flight platform; s2, carrying out dynamic slicing, and segmenting the original high-resolution image frame into a plurality of sub-image slices of which the sizes are matched with the input of the detection network; s3, target detection: inputting the subgraph slices into the model for reasoning, and outputting the category and local pixel coordinates of the target; s4, result fusion: mapping detection results of the sub-image slices back to an original image coordinate system to generate a global detection result; and S5, performing space-time positioning, and converting the pixel coordinates of the global detection result into geographic latitude and longitude coordinates by using a coordinate conversion algorithm. According to the method, the problems of leak detection and false detection caused by extremely high image resolution, small target size and background noise interference in a water surface environment are effectively solved.

The invention discloses an RAG content generation method and system based on dynamic slicing and self-adaptive fusion, and relates to the field of natural language process.The method comprises the steps that in response to a user query instruction, semantic fusion processing is conducted on a plurality of related text blocks, and a preliminary text sequence is traversed; detecting a logic breakpoint between adjacent text blocks through a context association identifier, recalling a middle connection text block corresponding to the logic breakpoint, and inserting the middle connection text block into a sequence to generate a fusion text stream; performing adaptive information density adjustment on the fused text stream to obtain optimized context content; generating structured prompt information based on the optimized context content and the user query instruction; and calling the target large language model to generate a user query result based on the structured prompt information. The answer accuracy and logic continuity of the target large language model for user query are effectively improved, and the utilization efficiency of model computing resources is optimized.

The invention discloses an Internet webpage content feature extraction method based on artificial intelligence, which comprises the following steps: S1, acquiring a webpage HTML source file and a rendering image, and preprocessing the webpage HTML source file and the rendering image; s2, performing semantic classification on DOM nodes, encoding the DOM nodes into three types of identifiers, and constructing a node label sequence; s3, performing time sequence synchronization on the node attribute vector, the node tag sequence and the visual area set, and performing block-level slicing; s4, inputting the block-level slices into a gated recursive attention network, extracting multi-modal joint representation, and executing attention aggregation; s5, performing structure alignment on the feature fusion sequence, calculating a cross-node consistency distance, and screening a target slice set with high structure cohesion; and S6, mapping the target slice set to a content feature space, and generating a content feature tag set. According to the method, the structural accuracy, the semantic integrity and the multi-modal fusion precision of webpage content extraction are improved.

The invention is suitable for the field of three-dimensional printing, and provides a method for generating a slice map and a 3D printing method. A method of generating a slice map includes providing a three-dimensional model including a plurality of facets, each facet associated with a surface feature; outputting a plurality of slice images through a plurality of tangent planes intersected with the three-dimensional model, wherein each slice image comprises a first intersection point of the tangent plane and the plurality of facets; through a plurality of straight lines perpendicular to the tangent plane, determining second intersection points of the plurality of straight lines and the plurality of patches; and determining an association attribute of the slice map at least based on the surface feature associated with the first intersection point and the surface feature associated with the second intersection point. According to the method, the accuracy of the obtained slice image can be improved.

The invention discloses a ROS2-based surface exposure rapid prototyping method, device and system and a medium, and relates to the technical field of additive manufacturing. The method comprises the steps that all hardware nodes are reset and initialized, a forming platform is flush with a powder laying plane, powder is supplemented, and a scraper is reset. And importing the three-dimensional model of the part to be formed into ROS2-based slicing software, generating a support structure after attitude optimization, slicing according to a preset layer thickness to obtain a slice layer, and performing rasterization processing to generate a black and white mask image. And circulating subsequent steps for each slice layer until all slice layers are completed: descending a servo motor of a forming bin according to a preset layer thickness, providing powder by a powder supply bin, and then spreading and slicking the powder. And sending the black and white mask image corresponding to the current slice layer to the DLP to execute projection. The SLM laser node performs selective laser melting according to the projected area. And a molten pool image is captured in real time and analyzed, an analysis result is input to an ROS2 decision node to dynamically adjust process parameters, and closed-loop control is achieved.

The invention relates to the technical field of computer graphics and three-dimensional modeling optimization, in particular to a 3D model lightweight method and system based on point cloud hierarchical slicing and dynamic mapping mapping.When the 3D model lightweight method and system are used, the storage efficiency, the rendering performance and the visual fidelity are improved by establishing a point cloud and mapping bidirectional coupling mechanism, and the 3D model lightweight effect is improved. In the aspect of storage efficiency, an efficient geometric and texture association storage system is constructed by relying on a map curvature adaptive segmentation and dynamic slice binding technology, an excellent geometric and texture compression effect is realized, the storage cost of a high-precision three-dimensional model is greatly reduced, and in the aspect of real-time rendering performance, through a dynamic loading strategy during operation, the real-time rendering efficiency is improved. By combining efficient visibility screening acceleration and an intelligent resource preloading technology, the real-time scheduling efficiency of the model is greatly improved, and the working efficiency of scenes such as design iteration and model editing is remarkably improved.

The invention discloses a TBR implementation method of a desktop GPU for mobile 3D application optimization, which comprises the following steps: defining block metadata of screen blocks in a Mesa driver, establishing a block manager, when a mobile application context is detected, acquiring GPU core parameters by the block manager, calculating the size of a basic block, dividing a screen into areas corresponding to shader arrays in number, and storing the areas in a memory; establishing a mapping table of a basic block, a computing unit and an L2 cache slice, generating a resource hash table, analyzing block metadata and the mapping table after whole frame rendering is started, determining a hardware channel according to the mapping table, scheduling rendering tasks according to priorities, and configuring a GPU rendering state. Then executing a vertex shader, rasterization, a fragment shader, depth testing and color mixing to complete block rendering, updating block metadata, merging intermediate data into a final frame buffer according to geometric information after rendering of all basic blocks is completed, and submitting the final frame buffer to a window system to complete single-frame display. And the operation efficiency of the mobile operation system and the mobile terminal 3D application on the desktop platform is optimized.

The invention relates to the technical field of computer graphics and reverse engineering, in particular to a ship workpiece point cloud reverse modeling method based on OpenCasCad, which comprises the following steps: collecting ship workpiece point cloud data through laser 3D scanning; preprocessing the point cloud by adopting uniform sampling and radius filtering; segmenting the point cloud into a bottom surface point cloud and a top surface point cloud through slicing processing and region growth, and extracting contour data containing vertex data and normal vectors; constructing a unique bottom plane based on bottom surface contour data fitting; projecting the top surface and the bottom surface to the bottom plane, carrying out gap splicing on the top surface, and fitting a minimum external contour on the bottom surface; and stretching the top surface along the reverse direction of the normal of the bottom plane, cutting the stretched entity by using the original top surface, and splicing with the bottom surface to form a complete model. According to the method, the problems of non-coplanar contours, inclined plane deviation, gap defects and the like in the prior art are solved, the modeling precision and efficiency are improved in combination with OpenCasCad, and the method is suitable for reverse modeling of complex workpieces of ships.

The invention discloses a 3D printing dynamic visualization interaction system and method based on spatial unconstraint, and the method comprises the steps: S1, collecting and preprocessing environment data, and generating a camera pose, a projection carrier normal direction and an anchor point set; s2, generating timestamps and writing the timestamps into a pose channel and an anchor point channel; s3, the dynamic modeling engine receives the input three-dimensional model, and semantic layering and slicing processing is executed; s4, establishing a double-buffer asynchronous rendering architecture; s5, on the basis of a zero-interruption displacement mechanism, when it is detected that the posture changes and the projection sites are switched, continuous output of foreground buffering is kept, new full-precision frames are rendered through background buffering, and foreground buffering and background buffering are switched at the vertical synchronization moment after rendering is completed; s6, receiving a parameter updating instruction input and analyzed by the user; s7, outputting a synchronous rendering frame and an interactive updating result; and S8, outputting the application interface. Free projection and zero-interruption interaction in the 3D printing process are achieved.

The invention discloses a Web security auditing method and device based on browser operation, and relates to the technical field of network security. Comprising the following steps: forcibly activating a credible type mechanism in a browser environment of a to-be-audited page, and constructing a hybrid monitoring environment with the assistance of API instrumentation; javaScript code data of a page are obtained, and a path control function is injected into a control flow branch of the JavaScript code data through abstract syntax tree analysis; executing the converted code in a monitoring environment, guiding to traverse different logic branches by utilizing a path control function, and capturing a call stack containing a vulnerability trigger point and a code snippet when triggering monitoring is executed; and based on call stack information, extracting precise code slices, combining with cue words, inputting the cue words into a large language model to perform safety semantic reasoning, and generating an audit report according to a structured result output by the model. High-coverage and low-false-alarm automatic detection of deep DOM XSS vulnerabilities is realized, and the problems that a path is difficult to reach and intelligent analysis is insufficient in a traditional security audit technology are solved.

A processing system employs at least two graphics processing units (GPUs) to encode video. The GPUs employ sets of predicated values that indicate when reconstructed slices have been transferred between the GPUs. Furthermore, each GPU maintains a set of previous reference images, and encodes video slices based on the previous reference images having an expected predicated value. This allows each GPU to identify which reference images to use for encoding. This in turn allows the processing system to encode video frames without synchronization of the GPUs, while maintaining the quality of the encoded video.

The application discloses a weak coverage area grid clustering method and device, and the method comprises the following steps: performing slicing processing on a raster map to obtain a plurality of map slices; calculating the weak coverage probability of each map slice; screening the map slices to be clustered from the plurality of map slices according to the weak coverage probabilities of the plurality of map slices, performing clustering processing on the grids in the map slices to be clustered to obtain a weak coverage clustering cluster; collecting the update coverage data corresponding to the plurality of map slices, and updating the raster map according to the update coverage data and the weak coverage clustering cluster. The application realizes the management and processing of different slices by screening the map slices to be clustered, and does not need to perform complete traversal clustering and updating on the entire raster map, thereby saving the computing resource, effectively improving the update speed of the raster map, and solving the problems that the current clustering operation requires a large computing power and the real-time update map operation consumes a large amount of resources.

This disclosure relates to techniques for manipulating computer graphics objects. The invention discloses a computer-generated virtual object manipulator having one or more power representations for manipulating computer-generated virtual objects. Selection of a virtual object causes the object manipulator to be displayed above the virtual object. The object manipulator may include a conical single-axis translation power representation for each of the one or more object axes, a disk-shaped single-axis scaling power representation for each of the one or more object axes, an arc-shaped rotation power representation for rotation about each of the one or more object axes, and an object center power representation for free-space movement of the virtual object. The object manipulator may also include a slice-shaped dual-axis translation power representation, which may be displayed after hovering over an area in a specific plane.

The present application relates to the field of BIM model visualization, and particularly relates to a BIM design terrain and GIS real scene texture fusion method, the present application processes BIM design terrain and GIS real scene texture data respectively, when GIS real scene texture data changes, only needs to replace slice data to realize data updating, improves the convenience of data updating, the present application establishes the connection between the image slice node of GIS real scene texture data and the space coordinates of BIM design terrain through coordinate system transformation matrix, is convenient for the coordinate conversion between both, so that the space coordinates of BIM design terrain and the texture coordinates of GIS real scene texture data are corresponded, finally realizes the fusion of BIM design terrain and GIS real scene texture data.

This invention discloses a large image processing method and system based on adaptive slicing and feathering fusion, comprising: acquiring the original image and parameters; adaptively determining the slicing parameters through iterative calculation with a minimum overlap width requirement as a constraint, and outputting slicing configuration information; expanding the boundaries of the original image according to the filling amount, and extracting multiple image slices with sizes conforming to the input size of the target processing unit from the expanded image; and performing feathering fusion and layered stitching on the image slices using a weight mask generated based on a Gaussian function based on the overlap size to reconstruct a final image with the same size as the original image. This invention calculates the minimum slice grid layout required to meet seamless stitching quality requirements. Through the synergy of reflection filling and Gaussian weighted feathering fusion techniques, it achieves imperceptible pixel value changes at the seams while minimizing the total number of calls to downstream processing units, thereby resolving the contradiction between image quality and computational cost.

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 structured object may cause generation, on the user interface, of a representation of slice(s) of data across different dimensions with different filter(s) applied to include one or more dimensions and exclude one or more other dimensions. The slice(s) of data may be determined based on available dimension(s) and / or dimension value(s) specified, in the prompt, for the data schema. If the representation is a grid, a shape of a grid may be recommended for showing the slice(s) of data determined.

The application provides a technical document automatic generation method, system, device and storage medium, the method comprises the following steps: analyzing a demand document through a feishu intelligent slice, and extracting complete content; an intelligent agent actively inquires a user to obtain an interface name, an application ID and an interactive picture link, triggers corresponding MCP to obtain interface data and interactive documents, and performs integrity check; in combination with demand, interface and interactive content, the intelligent agent inquires technical stack information, and generates a standardized technical document by using a prompt word engineering. Then, a double check mechanism is started: the intelligent agent can automatically correct the error, and the user is asked to confirm the ambiguous demand until the document is correct; finally, the feishu document generation MCP is triggered, the demand, interface, interaction and final document are integrated into a Markdown format, and a link is pushed to an AI programming tool for generating code. The application can realize full-process automatic conversion from a demand document to a technical document in a Web webpage development scene, and provide a standardized technical basis for an AI programming tool.

Mechanisms are provided for parallel execution of an application. The application is partitioned into slices. For each slice, a simulation of an execution of the slice with regard to pairings of tile tensor shape for input data to the corresponding slice, and number of available devices to execute the slice, is executed, which generates a plurality of simulation results, each having performance metric(s) for a corresponding pairing. A set of one or more tile tensor shapes for one or more slices in the plurality of slices is generated based on one or more simulation results in the plurality of simulation results. The selected tile tensor shape for each slice is used to pack data for input to a corresponding slice in the one or more slices. Furthermore, the application is executed using the selected set of one or more tile tensor shapes for the one or more slices.

This invention discloses a deep learning-based method and system for predicting oil product sales trends, comprising: collecting and preprocessing multi-source data to obtain a time-series feature sequence; constructing training inputs and prediction targets by slicing using a sliding window; inputting the training inputs into an improved TSMixer model to obtain sales predictions and the penultimate latent space representation; constructing change point observations based on the differences in latent space representations and prediction residuals between adjacent time steps; performing Bayesian online change point detection calculations on the change point observations to obtain the posterior probability of the change point and the run length distribution; generating dynamic gating signals based on the posterior probability of the change point and scaling and updating the weight matrix of the time mixing layer; setting an asymmetric penalty coefficient based on the run length distribution and performing gradient pruning to update the model parameters; and outputting online sales trend prediction results and warning confidence information. This invention achieves change point perception prediction and updating, supporting inventory replenishment and delivery scheduling.

The application provides a large language model-based electronic form standardization processing method and system, and belongs to the technical field of data processing, and specifically comprises the following steps: a file acquisition module is responsible for intelligently screening a target worksheet set containing valid data; a slicing module is responsible for partitioning the content of the worksheet to obtain a plurality of data slices; the table header of each data slice and sample data are input into a large language model workflow to intelligently identify the dimension type and structural characteristics of the data; an execution module is responsible for generating management strategies and prompt words, calling a large language model to dynamically generate a targeted data processing function code, executing the generated function code through a function execution engine, and standardizing and converting the data slices; and all successfully processed data is combined and exported as a standardized electronic form, thereby improving the efficiency of the standardization processing of the electronic form.

A scanning path planning method for a metal laser powder bed fusion forming process comprises the steps that 1, a TPMS lattice model is built through an implicit function equation, slicing is conducted through an implicit slicing method, and a two-dimensional contour is obtained; 2, generating a multi-stage initial contour line path through contour surface constants of the uniform change implicit function equation; 3, calculating the distance between the adjacent initial isoline paths, and identifying an area with the distance exceeding a preset tolerance as an unqualified area and the rest as a qualified area; 4, retaining an initial isoline path in the qualified area, and generating a grid filling path in the unqualified area to obtain a mixed path set; 5, inputting a mixed path set, and on the premise of not changing geometric coordinates of each path section, carrying out connection sequence optimization on all the path sections to form a continuous scanning track; and 6, converting the formed continuous scanning track into a file format which can be executed by laser powder bed melting equipment. According to the method, the powder adhesion and deformation risks are remarkably reduced, and the SLM forming precision and efficiency are improved.

The application discloses a space-air-ground integrated vehicle networking slice-based cooperative task offloading method, and the design steps comprise the following steps: firstly, a service-oriented RAN slice framework is designed; then, a maximum long-term task completion number problem is decoupled into a slice window length division problem, a resource allocation problem and a cooperative workflow scheduling problem; a MEC controller collects workflow scheduling decisions in a current slice window to determine a resource allocation strategy for a next slice window; at the beginning of the current slice window, resources of each base station are allocated according to the workflow scheduling decisions in a previous slice window; at the beginning of each scheduling time slot in the slice window, the controller transfers the collected tasks to different base stations for processing; and at the end of each slice window, the controller collects the workflow scheduling decisions in the window for use in the next resource allocation. Simulation results show that, compared with a benchmark method, the proposed scheme exhibits superiority in adaptability, task completion rate and control overhead.

A system may determine that two instructions may be combined based on a processing power of the processor and a size of the instructions, fuse the two instructions into a pair, map the two instructions with two register tags, write the two register tags into a mapper, write the fused instruction pair into an issue queue, issue the fused instruction pair to a vector-scalar transformation unit (VSU), and execute the two instructions.

The invention relates to a large file batch processing method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the steps of obtaining a to-be-processed source file and performing virtual fragmentation processing on the source file to obtain a plurality of fragmentation results; sending the plurality of fragmentation results to a plurality of processing nodes; for any processing node, reading data in the fragmentation result through a preset reader component to obtain a plurality of byte arrays; performing service logic processing on the byte array through a preset processor component to obtain a processing result; writing the processing result into a temporary data file through a preset writer component; the processing results in the temporary data file are written into a database, and whether all the processing results are successfully written into the database or not is judged; and if all the processing results are successfully written into the database, deleting the temporary data file. By adopting the method, the data importing efficiency of the large file can be improved, and the consistency of data processing and the high availability of the system are guaranteed.

An embodiment analyzes an inference request to determine a set of parameters of execution and analyzes a computing environment of a Large Language Model (LLM) to extract a set of parameters of environment. A MIG in the set of MIGs in the environment includes a set of slices of a corresponding GPU (set of MIG slices). A profile is selected from a profiles database using some of the parameters of execution and some of the parameters of environment. By sending a set of instructions to a controller associated with the MIG, the controller is caused to modify an amount of a computing resource available to a MIG slice in the set of MIG slices, the amount being computed according to a performance specification corresponding to the profile. The inference request is scheduled to execute using the modified amount of computing resource at the MIG slice.

The application discloses a kind of video intelligent slice method based on multi-modal information fusion and semantic constraint, it is related to video content analysis and intelligent editing technical field, it is characterized in that it proposes semantic priority audiovisual collaborative slice scheme, obtains shot interval by shot boundary detection, constructs voice interval and effective word information by voice recognition, adopts voice interval as semantic mask to remove visual cut point in the process of voice expression, and based on fragment length and effective word, content density determination is carried out to long fragment, and further adopts visual re-cutting, audio energy driving and uniform cutting Secondary slicing strategy of division, the method provided by the application solves the problem of semantic fragmentation and content perception loss in the prior art, can obtain video fragment with complete semantics, high content density and appropriate length, and is suitable for various application scenarios such as automatic editing, short video generation and video content retrieval.

This application is directed to a method of managing processing capability of a server system having one or more processing cores that further include multiple processing slices. Upon receiving requests to initiate online gaming sessions, the server system allocates each processing slice of the processing cores to a subset of the online gaming sessions to be executed thereon. A first processing slice is allocated to a first subset of the online gaming sessions including a first gaming session and a second gaming session. At the first processing slice, a time-sharing processing schedule is determined for the first subset of the online gaming sessions. In accordance with the time-sharing processing schedule, the first and second gaming sessions share a duty cycle of the first processing slice, and are executed dynamically and in parallel according to real-time data processing need of the first and second gaming sessions.