31 results about "Mapping techniques" patented technology

The invention discloses an automatic administrative boundary fusion charting method and a meteorological charting method based on a python language. Belongs to the technical field of meteorological charting, and particularly relates to the cross technical field of meteorological data processing and geographic information system visualization. The method starts with the construction of a multi-scale adaptive boundary fusion map, so as to solve the problems of cross-scale (such as province-to-village) precision faults and large interpolation errors of complex terrains, and achieve a cross-level administrative division boundary seamless aggregation technology (village level-town level-county level-province level). Therefore, the problem that precision is easy to lose when cross-scale conversion (such as from province to village) is carried out during meteorological mapping is solved.

The application relates to the technical field of remote sensing mapping, in particular to a remote sensing mapping method for a karst rocky desertification treatment grassland, which comprises the following steps: obtaining remote sensing images and DEM data of a target karst region; quantifying the shadow shielding possibility, vegetation confidence and vegetation density of a pixel based on the radiation brightness, spectral reflectance change trend of the remote sensing images and DEM topographic features, and then adaptively constructing an adjustment factor for correcting a soil-adjusted vegetation index; and calculating the soil-adjusted vegetation index at each pixel according to the adjustment factor, so as to draw a remote sensing vegetation map of the target karst region. The adjustment factor is adaptively determined by constructing a shadow vegetation characteristic value, the problem that the existing technology cannot distinguish between dense shadow vegetation and bright sparse vegetation under the complex karst topography due to the use of a unified adjustment factor is solved, and the precision and reliability of vegetation mapping in a karst rocky desertification treatment area are improved.

Techniques for efficiently managing and rendering graphical primitives in three-dimensional (3D) objects are disclosed. A surface of a 3D object is partitioned into a plurality of clusters, each containing a quantity of graphical primitives. Each cluster is mapped to a respective virtual space, which is then hierarchically partitioned into multiple regions. Partition information for the respective virtual space is encoded based on the hierarchical partitioning, and the surface of the 3D object is rendered for display based on the encoded partition information.

The application provides a bridge structure parameterized modeling and drawing method, constructs a bridge general element library with unique topological coding, takes the unique topological coding in the bridge general element library as an associated index, establishes a bidirectional mapping rule of design parameters, element models and drawing elements, generates a bridge three-dimensional model and a corresponding initial drawing framework after inputting design parameters based on the bidirectional mapping rule through parameterized modeling and engineering drawing technology, identifies component priority based on the unique topological coding, constructs a multi-constraint global optimization target, obtains a globally optimal labeling layout scheme through improved genetic algorithm iteration, completes intelligent labeling of the initial drawing, and generates a construction drawing. The application realizes intelligent labeling and synchronous compliance verification of the bridge construction drawing through the unique topological coding of the bridge element and the multi-constraint global optimization solution of the improved genetic algorithm.

The invention relates to the technical field of computer graphic processing and geology drawing making technologies, and discloses a lithologic symbol splicing method. The method comprises the steps of obtaining lithology naming data and industry template rules, and generating a splicing priority sequence through standardization processing and analysis binding; carrying out basic symbol selection and parameter instantiation based on the sequence to form an assembly candidate set; generating a pose solution set and a conflict list through adsorption matching, topological constraint solution and conflict detection; performing rule checking and conflict resolution to obtain a compliant splicing format and a quality mark; performing dependency analysis and increment regeneration on the compliant splicing format to obtain a regeneration result packet; and finally generating an export result package through pattern matching, parameter synthesis and cross-platform adaptation construction. According to the method, automation, standardization and cross-platform compatibility of lithologic symbol generation are realized, and the efficiency and consistency of geological map manufacturing are remarkably improved.

The present application relates to the technical field of cartography, and particularly relates to a cartography method, a cartography system and a storage medium. The method sets a user terminal, a map tool service subsystem, a map pipeline subsystem and a task running service subsystem, the user terminal loads a corresponding user interface, determines a cartography pipeline request in response to an operation on the user interface, and sends a sub-map tool service subsystem; the map tool service subsystem obtains corresponding map data from a map pipeline database according to the cartography pipeline request, and sends the map data to a map pipeline service subsystem; the map pipeline service subsystem performs cartography operation according to the map data, generates a complete version of a map and a cartography task request, and sends the cartography task request to a task running service subsystem; the task running service subsystem starts a cartography process according to the cartography task request, and performs map production, publication and release on the complete version of the map. The method realizes automatic operation of cartography, and improves the efficiency of cartography.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a transmitter may obtain a sequence of information bits. The transmitter may generate, using at least a probabilistic amplitude shaping (PAS) technique, a set of symbols from the sequence of information bits, wherein the generation of the set of symbols using at least the PAS technique includes using at least one of a sign-bit-shaping technique or a selective-mapping technique. The transmitter may transmit, to a receiver, the set of symbols. Numerous other aspects are described.

This invention proposes a planar parameterization method applicable to complex geometric regions and possessing G1 smoothness properties. The technique first generates the meshed structure of a given region based on its central axis information; then, by applying G1 continuity constraints to adjacent patches, it constructs an initial parameterization that satisfies G1 continuity overall; finally, it uses quasi-conformal mapping techniques to further optimize the parameterization quality of each patch. This invention simultaneously uses rectangular and triangular Bezier patches to represent the geometric region, making it effective for arbitrarily topologically complex domains. Compared with other existing methods, it not only enhances design flexibility but also achieves significant improvements in the generation and parameterization quality of multi-patch structures, resulting in greater efficiency.

The invention provides a mapping method of a geochemical map of rock exposed out of earth crust, and belongs to the technical field of geochemical mapping of rock. The method comprises the steps of constructing a multi-source database, carrying out step-by-step attribute matching, calculating a weighted average value of geological unit element contents, and generating a geochemical map. According to the method, a multi-source data fusion technology and a step-by-step attribute matching algorithm are utilized to combine relatively low-density rock data with a geological unit structure and geological unit space distribution, a rock geochemical map is finally generated by relying on a GIS technology, the step-by-step matching method follows an objective rule of rock element distribution, and compared with simple matching, the step-by-step matching method has the advantages that the matching efficiency is greatly improved; the assignment precision can be improved, and the existing rock chemical data can be utilized to the maximum extent; public geological map data are compatible, and the data collection cost is reduced; the requirement for the number of samples is greatly reduced, at least dozens of rock sample data are needed, and the drawing is more accurate along with the increase of the types and the number of the samples.

There is provided a system and method for a backend package to facilitate global connectivity and seamless integration through standardized API interactions. A managed user authentication across all provider interactions allows for construction of custom user interfaces using parject JSONs, integrated with a no-code platform, specifically within its UI flow engine. This integration enhances the relationship between UI elements and the backend side using mapping techniques, allowing for designing and creating interactive and dynamic web applications. Specialized microservices are included in the system and methods.

Methods, systems, and devices for validity mapping techniques are described. A memory device may use a change log to update a mapping that indicates whether data stored at respective physical addresses is valid. For example, the memory device may receive a command associated with data having a corresponding set of addresses (whether logical block addresses or physical addresses). The memory device may set an entry of the change log based on whether the set of addresses are consecutive. For example, the memory device may identify whether the set of addresses are consecutive and may set a flag in the entry of the change log to indicate whether the addresses are consecutive. Then, the memory device may update one or more entries of the mapping corresponding to the entry of the change log to indicate whether the addresses corresponding to the one or more entries of the mapping store valid data.

The application discloses a soil type prediction model training method, mapping method and system based on multi-modal feature fusion and spatial neighborhood constraint, and the training method comprises the following steps: constructing a multi-source heterogeneous digital soil mapping data sample set, wherein the data sample set comprises continuous environmental variables, discrete environmental variables and multi-source remote sensing images; extracting feature quantities of the data sample set and performing multi-modal adaptive feature fusion, adaptively determining fusion weights by using a cross attention mechanism, and obtaining joint feature quantities; constructing a composite loss function comprising a spatial neighborhood smoothing regularization term and a classification cross-entropy loss; and performing joint optimization training on a preset deep learning model according to the joint feature quantities and the composite loss function until a preset requirement is met, so as to determine a soil type prediction model. According to the embodiment of the application, the accuracy and spatial continuity of the mapping results output by the model and the generalization performance of the model can be effectively improved, and the application can be widely applied to the technical field of digital soil mapping.

The application discloses a terminal security evaluation method and system based on a nonlinear mapping technology, equipment and a medium, mainly relates to the technical field of terminal security evaluation, and is used to solve the problems that the existing scheme has single risk evaluation mode, is easy to cause secondary disclosure risk, and the risk response mechanism is lagging behind. Including: obtaining real-time data of terminal preset risk dimension, determining whether the real-time data meets the preset risk trigger condition; when the preset risk trigger condition is met, the risk scoring mode is entered: obtaining the nonlinear calculation formula corresponding to the specific preset risk trigger condition triggered, extracting the corresponding real-time data, and then obtaining the triggered risk score by using the nonlinear calculation formula; when the risk scoring mode is not entered, the comprehensive risk score is obtained by weighting according to the real-time data of the preset risk dimension; according to the falling interval of the triggered risk score or the comprehensive risk score, the security risk level of the current terminal is determined.

Techniques are provided for increasing the accuracy of automated classifications produced by a machine learning engine. Specifically, the classification produced by a machine learning engine for one photo-realistic image is adjusted based on the classifications produced by the machine learning engine for other photo-realistic images that correspond to the same portion of a 3D model that has been generated based on the photo-realistic images. Techniques are also provided for using the classifications of the photo-realistic images that were used to create a 3D model to automatically classify portions of the 3D model. The classifications assigned to the various portions of the 3D model in this manner may also be used as a factor for automatically segmenting the 3D model.

This invention relates to the fields of computer graphics and image processing technology, specifically to a 3D reconstruction system and method for a 3D unfolded image. The system includes a topological feature extraction module, a folding axis positioning module, a coordinate mapping module, a mesh generation module, an error warning module, and a 3D rendering module. First, it acquires images of the folded paper image and the target unfolded image, extracts topologically invariant feature points, and determines the position parameters of the folding axis in 3D space based on the feature point matching results. It then establishes a mapping relationship from 2D coordinates to 3D coordinates, constructs a triangular mesh, and detects fold lines. The mesh is classified, and the relationship between the normal vector and the center point is analyzed to identify erroneous folding regions. Finally, it generates a 3D model visualization result. Topologically invariant feature extraction and manifold mapping techniques are used to improve the accuracy of feature matching. Lie group transformation theory is introduced to construct an accurate coordinate mapping relationship, and an error warning mechanism based on nonlinear dynamic system theory is developed, effectively improving reconstruction accuracy and efficiency.

The present disclosure describes a method (300) and a device (106) for predicting fault conditions in vehicles using field complaint data. The method (300) comprises processing (302) field complaint data collected from a plurality of vehicles to generate a processable data set comprising a plurality of rows and a plurality of columns. The method (300) further comprises determining (304) a match factor for two or more columns of the processable data set after determining a mapping between the two or more columns. The mapping is determined based on at least one unconditional mapping technique, one conditional mapping technique, or both.The method (300) further comprises generating (306) an attribute cluster corresponding to the two or more columns if the match factor for the two or more columns satisfies a predetermined criterion, and generating (308) a predictive message to correct the fault condition in at least one vehicle.

The invention relates to the technical field of automatic drawing, in particular to an online automatic thematic map drawing method and system based on artificial intelligence. The method comprises the following steps: synchronously collecting multi-modal input parameters of a user, carrying out time sequence alignment, respectively extracting geometric features and semantic features, and fusing through a self-adaptive confidence mechanism to generate a unified semantic geometric vector; through two-channel parallel analysis of semantic projection and geometric projection, candidate charting schemes of a concept layer and a graph layer are generated respectively, and semantic consistency and space consistency calibration and fusion are carried out on candidates; carrying out local geometric optimization, semantic adjustment and global layout optimization on the candidate set, introducing micro-variation to generate diversity, and outputting a graph which can be directly rendered online through feature weighted fusion and global consistency optimization; a self-learning knowledge base is constructed by collecting historical samples, and continuous accumulation and personalized output optimization of drawing experience are completed. According to the invention, a complete intelligent closed loop from multi-modal input to automatic mapping is realized.

The invention provides a special graph patterning method and device, electronic equipment and a medium, and relates to the technical field of surveying and mapping. The method comprises the following steps: performing shape decomposition on a preset special graph to obtain a shape decomposition file of the preset special graph; the shape decomposition file at least comprises a main body shape and attribute information; the preset special graph is a graph without a corresponding graphical file in a corresponding graphical file library in a preset database; the main body shape is the shape of an existing graphical file in a graphical file library; according to the main body shape, constructing a standard graphical file corresponding to the preset special graph; transmitting the attribute information of the main body shape to each part of a standard graphical file, so that a main body part and a non-main body part in the standard graphical file have the attribute information; and storing the standard graphical file into a corresponding graphical file library in a preset database. According to the method, accurate graphical expression is carried out on the special graph, and linkage updating of the graph and the attribute is ensured.

Systems and methods of configuring a fixed memory array of an integrated circuit with coefficients of one or more applications includes identifying a utilization constraint type of the fixed memory array from a plurality of distinct utilization constraint types based on computing attributes of the one or more applications; identifying at least one coefficient mapping technique from a plurality of distinct coefficient mapping techniques that addresses the utilization constraint type; configuring the fixed memory array according to the at least one coefficient mapping technique, wherein configuring the array includes at least setting within the array the coefficients of the one or more applications in an arrangement prescribed by the at least one coefficient mapping technique that optimizes a computational utilization of the fixed memory array.

Methods, systems, and devices for data management are described. A server hosted by a storage node within a cluster of a data management system (DMS) may receive a request to access a file stored in a distributed file system. The request may be associated with a security identifier (SID). The server may transmit an indication of the SID to a shared repository accessible to the cluster. Accordingly, the server may receive an indication of a mapping between the SID and one or both of a user identifier (UID) or a group identifier (GID) associated with the SID. The server may transmit an indication of the file and the UID / GID to the distributed file system, which may compare the UID / GID to a list of authorized identifiers for the file. If the UID / GID is on the list of authorized identifiers, the distributed file system may execute the request accordingly.

The invention belongs to the technical field of remote sensing land coverage mapping, and particularly relates to a multi-source land coverage data fusion method based on a conflict index and self-supervised reconciliation. Comprising the following steps of 1, data preparation and data preprocessing; step 2, feature construction; 3, patch data construction and enhancement are carried out; 4, model construction and strategy training; and 5, reasoning the whole graph and outputting a fusion result. According to the method, the precision of land coverage data can be improved, the space consistency and the distinguishing and repairing capability of a high-conflict region can be enhanced, the region perception and self-adaptability of a fusion model are realized, the dependence on a large amount of labeled data is reduced, and on the basis of a fusion thought of deep learning, conflict perception and self-supervision optimization, the method is suitable for large-scale popularization and application. By constructing a teacher-student double-model architecture, the model is guided to seek balance between global consistency and local difference.

This invention provides a cartographic method for optimizing real-time map rendering, belonging to the field of cartographic technology for real-time map rendering optimization. This invention pre-calculates the screen space projection area at the central processing unit (CPU) and repackages it into batches with varying loads, then asynchronously submits the batches to the graphics processor (GPU) via a drawing indirect instruction mechanism. It uses 3D Hilbert curves to map tile coordinates as linear indices, combining quadtree divide-and-conquer recursion with user motion prediction to drive tile prefetching. It reconstructs low-resolution tile textures using a bi-branch map texture super-resolution fusion model and adaptively adjusts the high-frequency gating weight inference scaling factor through a comprehensive quality adjustment value. It compresses the occlusion query overhead per frame through a bi-phase occlusion culling pipeline combined with temporal reprojection. This invention solves the technical problems of unbalanced geometric subdivision load, low tile scheduling cache hit rate, and difficulty in adaptively balancing texture super-resolution reconstruction quality and inference latency during real-time map rendering.

Techniques are described for modifying a factor associated with an invalid point cloud registration (e.g., alignment) between two data sets, to improve a map generation process. A computing system receives sensor data from a vehicle traversing an environment. The computing system aligns discrete data sets, such as to generate a representation of the environment based on the discrete data sets. In some examples, the computing system can apply an optimization algorithm to the alignments, to optimize the representation of the environment. The computing system identifies an invalid (non-ideal) alignment between two data sets and modifies a factor associated with the invalid alignment, introducing a repulsive force. The computing system performs an optimization with the modified factor, which causes a location associated with at least one of the two data sets to be different from a previously measured location. The computing system generates a map based on the optimization.

A system and method of an adaptive mapping system for semi-autonomous cleaning devices for improved navigation using a randomized dot pattern to represent dynamic areas and ensure precise localization in changing environments. A map is parameterized as an occupancy grid, where each cell is assigned the likelihood that it contains a physical object in the environment. A novel mapping technique is disclosed that intelligently distinguishes between static features (e.g., walls and pillars) and dynamic areas (e.g., places prone to frequent changes). By representing dynamic areas with a randomized dot pattern, an adaptive mapping system maintains high localization confidence for autonomous mobile robots (AMRs). This approach ensures uninterrupted robot operations, significantly reducing or eliminating the need for human intervention due to localization uncertainties and addresses the critical problem of navigating and operating efficiently in environments that undergo frequent changes.

The application belongs to the technical field of remote sensing land cover mapping, and is especially a multi-source land cover data fusion method based on conflict index and self-supervised reconciliation. The method comprises the following steps: step one, data preparation and data preprocessing; step two, feature construction; step three, patch data construction and enhancement; step four, model construction and training strategy; step five, whole map reasoning and fusion result output. The application can improve the precision of land cover data, enhance the spatial consistency and the discrimination and repair ability of high conflict areas, realize the regional perception and adaptability of the fusion model, reduce the dependence on a large amount of labeled data, and is based on the fusion idea of deep learning+conflict perception+self-supervised optimization, and a teacher-student double model architecture is constructed to guide the model to seek balance between global consistency and local difference.

The invention discloses a GIS (geographic information system) automatic drawing method and system based on a multi-modal large model, and relates to a geographic information system (GIS) automatic drawing technology. A natural language drawing request of a user is received, and semantic analysis is performed on the natural language drawing request through the multi-modal large model; calling a corresponding tool function according to a semantic analysis result; extracting original data from the GIS database, and analyzing and processing the original data to obtain a coordinate matrix and weight data; calculating a density value of each spatial position by using a Gaussian kernel function, and generating a continuous density distribution function; calculating a density value of each grid coordinate point, and remodeling a result into a two-dimensional array format corresponding to the coordinate matrix to obtain a target coordinate matrix; and generating a kernel density thermodynamic diagram based on the target coordinate matrix and the weight data, and performing visualization processing on the kernel density thermodynamic diagram. The invention aims to realize automatic analysis and mapping of geographic data through a natural language interaction and function calling mechanism.

A driving method includes the following steps. An input image is divided into a plurality of image blocks. A plurality of pixel groups corresponding to the image blocks are respectively controlled. Step of controlling a corresponding one of the pixel groups corresponding to one of the image blocks includes the following steps. A plurality of input grayscale values included in one of the image blocks are mapped to a plurality of duty cycles. One of the duty cycles is determined as a desired duty cycle. A plurality of the input grayscale values are mapped to a plurality of data voltages according to the desired duty cycle. A plurality of pixel circuits included in the one of the pixel groups are driven according to the desired duty cycle and the data voltages.

A method for analyzing the overtopping failure of earth-rock dams based on the material point method belongs to the field of numerical simulation technology in civil engineering and hydraulics. The steps are as follows: S1, read in the material point information for each zone, background mesh information, material constitutive models and parameters of the material points, load information of the material points, and related calculation parameters; S2, based on the material point adaptive mapping technique, update the position and momentum of the material points in each time step; S3, calculate the equivalent plastic strain of the material points, consider the fluid-solid transformation of the material points in the dam area through the strength reduction method, and update the stress of the material points according to the constitutive models of the material points in each zone; S4, repeat S2 and S3 until all time steps are completed, and output the deformation and reservoir water level changes at typical moments during the overtopping failure process of the earth-rock dam. This invention uses adaptive mapping to improve the computational efficiency of large-scale problems, effectively reflects the scouring effect of reservoir water on the dam slope during the overtopping process, and reasonably reproduces the evolution process of the overtopping failure of earth-rock dams.

The invention discloses a multi-source geographic information data-oriented map batch generation method, and belongs to the technical field of computer mapping. The method comprises the following steps: constructing a map database, designing a map knowledge base, designing a sample drawing and making a template, and sequentially executing the steps of constructing the map database, designing the map knowledge base, designing the sample drawing and making the template, constructing an intelligent queue and outputting a map result. By collecting multi-source geographic information data, cleaning and integrating the multi-source data, establishing a drawing rule base of a map knowledge base, standardizing drawing rule definition, generating a dynamic template and scheduling an intelligent task queue, full-flow automation of map generation is realized. According to the method, the problems of difficulty in multi-source data integration, much manual intervention, low batch processing efficiency and the like in traditional map compiling are solved, the map generation efficiency and quality are remarkably improved, and the method is suitable for scenes needing large-scale map customization such as natural resource management and urban planning.