21 results about "Block sorting" patented technology

The invention provides a distributed storage method based on source code semantic partitioning, and particularly relates to the technical field of cloud data distributed storage. The method comprises the steps of performing semantic partitioning on a source code, and segmenting the source code into a plurality of semantic blocks according to dimensions such as functional semantics, an abstract syntax tree structure, author information and version information; generating metadata containing information such as grammar type tags, file paths, line number ranges, author identifiers, version identifiers and access popularity for each semantic block; constructing a weighted directed acyclic graph (DAG) based on the semantic chunks and the dependency relationship thereof; superposing a metadata layer in the DAG structure, and recording information such as function call dependency, inter-block reference relationship and version evolution chain; blocks with relatively high access frequency and close semantics are aggregated into super blocks, the traversal depth is reduced, and meanwhile, hot data and cold data are differentiated for hierarchical storage by adopting a cold and hot data management strategy; and evaluating a parent block aggregation degree through a BDS algorithm, determining a block sorting priority, and optimizing super block boundary division. Compared with the prior art, the method has the advantages that the semantic retrieval efficiency, the incremental updating capability and the distributed query performance of the source code storage system are improved.

The invention relates to the technical field of artificial intelligence, and provides a text block sorting method and device, electronic equipment and a storage medium. According to the method, the word frequency of the splicing position of each text block and other text blocks in a to-be-sorted text block group is obtained, the text block similarity of each text block and other text blocks is determined, and the word frequency of the splicing position and the text block similarity are fused to obtain the coherence of each text block and other text blocks. According to the method and the device, the coherence of the text blocks in the to-be-sorted text block group is obtained, and the sorting of the text blocks in the to-be-sorted text block group is determined based on the coherence, so that automatic sorting of the text blocks is completed through relatively low calculation complexity, the sorting cost is reduced on the basis of ensuring the sorting accuracy, the sorting speed is improved, and the user experience is improved.

1. The name of this design product: Programming teaching aid (color block sorting). 2. Purpose of this design product: used as a programming teaching aid. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: Stereoscopic drawing 1.

The invention provides a block mapping processing method and device for oversized picture data, equipment and a medium, and relates to the technical field of image processing. The method comprises the following steps: acquiring an original picture of oversized data and a target picture requirement; performing block sorting on the original picture so as to load the picture blocks in the memory mapping window; establishing a target picture of which the size is the same as that of the target picture, initializing the target picture into a background picture, and performing block sorting; according to the picture space transformation mode and the map drawing starting point, a map area occupied by the transformed map in the target picture is obtained, the pixel point tracking technology is adopted, the positions, corresponding to the original picture, of pixel points of the target picture are determined, and therefore pixel point information is obtained, and the target picture is drawn; and obtaining a complete target picture until the pixel points, corresponding to all the picture blocks in the target picture, in the mapping region are drawn. According to the method, the use of memory and disk resources is fully optimized, and stable, rapid and accurate processing of the oversized picture is realized.

A block sorting method, comprising: guiding blocks to be sorted to a material falling position for an unsupported falling motion; scanning said blocks at a scanning area on a falling trajectory of the unsupported falling motion; on the basis of the scanning, recognizing blocks to be separated among said blocks and determining a separation execution mechanism (150) for separating the blocks to be separated; and instructing the determined separation execution mechanism to separate the blocks to be separated, wherein the separation execution mechanism comprises at least two stages of separation execution mechanisms which are arranged on the falling trajectory and at different heights below the scanning area, and the stages of separation execution mechanisms are suitable for processing different particle size ranges. By arranging the at least two stages of separation execution mechanisms which are suitable for processing different particle size ranges, the particle size processing range of block sorting is widened. Also disclosed is a block sorting system (100).

The invention discloses an ejection type sliding block sorting action triggering mechanism and a sliding block sorting machine, and belongs to the technical field of sliding block sorting. The device comprises a linear guide rail, a sliding block and a lifting trigger device, an energy storage spring is arranged between the sliding block and the linear guide rail, the bottom of the linear guide rail is rotationally connected with a trigger plate capable of swinging up and down, and the two ends of the trigger plate are provided with a latch hook part and a release part correspondingly; the bottom of the sliding block is provided with a locking piece which is matched with the lock hook part to lock the position of the sliding block on the linear guide rail when the energy storage spring is in a compressed state. The lifting triggering device is arranged below the moving path of the triggering part. When the linear guide rail moves in the width direction of the linear guide rail to reach the position above the lifting trigger device in the lifting state, the trigger part is jacked up by the lifting trigger device so that the lock hook part can be downwards separated from the locking piece, and the energy storage spring in the compressed state releases elastic potential energy to push the sliding block to move along the linear guide rail. According to the invention, the energy consumption required for triggering the slide block sorting action can be effectively reduced.

The invention relates to the technical field of data monitoring, and particularly discloses a deep foundation pit multi-source heterogeneous data intelligent monitoring system based on end-cloud collaboration. The system comprises a collaboration center, and the collaboration center comprises a multi-source feature confirmation end, a node block classification end, a block feature verification end and an optimization logic output end. A transmission protocol is identified and monitoring frequency is locked through a multi-source feature confirmation end, monitoring nodes using the same transmission protocol are divided into the same block node through a node block classification end, and block sorting combination is optimized through a block feature verification end. An optimal combination is output through an optimization logic output end to guide monitoring time and frequency adjustment; the problems of scheduling conflicts and waiting time consumption among different protocol blocks are solved, global optimal acquisition is realized, system operation energy consumption is reduced, and smoothness and stability of collaborative acquisition of multiple protocol blocks are guaranteed.

The invention discloses a real estate data processing method and device, electronic equipment and a storage medium, and the method comprises the steps: inputting a real estate right certificate image into a real estate right certificate recognition model, carrying out the semantic segmentation of the real estate right certificate image in a semantic segmentation network, and obtaining a plurality of image regions, geometric information and semantic tags; extracting text blocks in the image area in the text block sorting network, sorting the text blocks according to geometric information to obtain a text block sequence, extracting text contents from the text blocks in the text block sequence in the text recognition network, filling the text contents and semantic tags into a structured data template to obtain structured real estate data, and storing the structured real estate data in the text recognition network. According to the method, the structured real estate data is encrypted and then stored in the database, so that the structured real estate data is obtained by extracting the text content from the real estate certificate through the real estate certificate identification model and filling the text content into the structured data template, manual input is not needed, and the input efficiency and accuracy of the real estate data are improved.

The invention discloses an automatic building block sorting method and system based on machine vision, and relates to the field of building block sorting detection.The intelligent and precise building block sorting is realized through multi-module cooperation: firstly, a type mapping model is constructed based on image data, and rapid type identification and single block sorting of to-be-sorted building blocks are realized; for the composite building blocks, through collaborative operation of double mechanical arms and dynamic clamping optimization, in combination with convex block distribution judgment and a success rate mapping model, through dynamic adjustment of clamping force and real-time evaluation of the splitting success rate, the intelligence and reliability of the building block sorting system are remarkably improved, efficient splitting and sorting of building blocks of different structures are achieved, and the working efficiency is improved. The problem of building block damage or splitting failure caused by traditional fixing force is avoided; the whole process forms a detection-recognition-disassembly-sorting closed loop, the sorting efficiency and accuracy are remarkably improved, meanwhile, the manual intervention requirement is reduced, and the method is particularly suitable for automatic processing of complex building block combinations.

Sorting data in memory is a fundamental computation that facilitates a wide range of search and query problems, aids in the construction and manipulation of data structures, and can improve the spatial and temporal locality of data and computation. Oftentimes, merge-based designs are used for sorting data, where a block sorting pass is performed followed by merging passes that produce increasingly larger sorted sublists until only a single list remains. While conventional merge-based designs can support multiple (K) merge operations in a single pass, a balance must be struck since there exists a point where K-scaling is no longer profitable. The present disclosure provides an alternative merge-based design in which data is merged using a single feed-forward data path.

The present invention discloses a GPGPU micro-architecture system for fence synchronization, comprising: a thread block sorting module based on fence synchronization, a warp priority sorting module, a warp emission module, a cache module and a cache bypass determination module based on fence synchronization. The thread block sorting module based on fence synchronization dynamically collects the number of warps that hit the fence synchronization point in each thread block, and sorts the warps based on this information, and the cache bypass determination module based on fence synchronization combines the dynamic miss rate of the cache during program execution and the judgment result of whether there is a warp that hits the fence synchronization in each thread block to dynamically determine whether the memory access request task needs to perform a cache bypass operation, thereby reducing the blocking delay of the cache buffer module, and then reducing the fence synchronization overhead, so as to achieve the purpose of improving the performance of the GPGPU.

A clamp for sorting aerated concrete blocks, comprising a support frame and a plurality of gripper groups arranged on the support frame, each gripper group comprising two symmetrically arranged grippers and a driving mechanism for controlling the opening and closing of the two grippers, at least one of the plurality of gripper groups being a broken block gripper group, and the remaining gripper groups being main gripper groups; the main gripper group being used to grip a whole group of blocks, the broken block gripper group being used to grip broken blocks that cannot be gripped by the main gripper group; and a tray gripper for gripping a tray being further provided on the support frame. The clamp of the present invention can be used in multiple links of block sorting, greatly improving the automation degree and sorting efficiency of block sorting, effectively reducing manual participation, and saving labor costs.

The invention discloses an eccentric block sorting device capable of synchronously marking sizes, and relates to the technical field of eccentric block sorting, the eccentric block sorting device comprises a workbench, a positioning mechanism is mounted on the workbench, an eccentric block body is placed on the workbench, an air cylinder is fixed on the left side of the workbench, and a transmission mechanism is mounted at the output end of the air cylinder; a top plate is arranged on the right side of the transmission mechanism, and a first magnet is fixed to the top plate. According to the eccentric block sorting device capable of synchronously marking the sizes, the positioning mechanism is adopted, the limiting effect of the eccentric blocks can be achieved so that detection can be conveniently carried out, the position of the marking block can be automatically adjusted in cooperation with the linkage adjusting mechanism so that the eccentric blocks of different sizes can be marked, and the marking efficiency is improved in cooperation with the linkage marking mechanism. The automatic marking function can be achieved when the marking block makes contact with the eccentric block, classified storage of the eccentric block is facilitated by determining the size of the eccentric block, operation is convenient and easy, the measured size is accurate, and the eccentric block sorting requirement can be better met.

The application discloses a layout block sorting method, belongs to the field of optical character recognition, and helps to improve the efficiency of workflow execution. The method comprises the following steps: cutting a target image to obtain spatial information of at least two layout blocks to be sorted, and generating a layout block spatial information sequence; performing feature extraction and coding processing on the layout block spatial information sequence through an encoding network module of a pre-trained neural network model, obtaining a feature coding sequence corresponding to the layout block spatial information sequence, and each layout block feature vector in the feature coding sequence corresponds to a layout block to be sorted; and performing sorting prediction on the feature coding sequence through a decoding network module of the neural network model, and obtaining a sorting result of each layout block to be sorted. The method learns the complex mapping relationship between the spatial information of the layout block and the layout block sorting position through the neural network model, and is applied to the layout block sorting, so that the accuracy of the layout block sorting is improved.

The application discloses a kind of based on machine vision's building block automatic sorting method and system, it is related to building block sorting detection field, the present application realizes the intellectualization and precision of building block sorting by multi-module cooperation: first, type mapping model is constructed based on image data, realize the quick type identification of to be sorted building block and single piece sorting;For composite building block, through double mechanical arm cooperative operation and dynamic clamping optimization, in combination with bump distribution determination and success rate mapping model, by dynamically adjusting clamping strength and real-time evaluating split success rate, the intellectualization and reliability of building block sorting system are significantly improved, realize the efficient split and sorting of different structure building block, avoid the problem of building block damage or split failure caused by traditional fixed intensity;The whole process forms detection-identification-disassembly-sorting closed loop, significantly improve sorting efficiency and accuracy, while reducing the need for manual intervention, especially suitable for complex building block combination automatic processing.

The present invention discloses an eccentric block sorting device with synchronous marking size, which relates to the technical field of eccentric block sorting, and comprises a workbench, a positioning mechanism is installed on the workbench, an eccentric block body is placed on the workbench, a cylinder is fixed on the left side of the workbench, a transmission mechanism is installed on the output end of the cylinder, a top plate is arranged on the right side of the transmission mechanism, and a first magnet is fixed on the top plate. The eccentric block sorting device with synchronous marking size adopts a positioning mechanism to realize the limiting effect of the eccentric block, so as to facilitate the detection, and cooperates with a linkage adjustment mechanism to realize the self-adjustment of the position of the marking block, so as to adapt to the marking of eccentric blocks of different sizes, and cooperates with a linkage marking mechanism to realize automatic marking when the marking block contacts the eccentric block, and the size of the eccentric block is determined to facilitate the classification and storage of the eccentric block, the operation is convenient and simple, and the measurement size is accurate, which can better meet the eccentric block sorting needs.

Disclosed are a dynamic maximal clique enumeration device and method based on an FPGA having an HBM, wherein the method comprises: the HBM stores a dynamic edge flow, a complete graph adjacency matrix and candidate cliques transmitted from an external PC host for updating a graph structure; a matrix computation unit updates the complete graph adjacency matrix on the basis of the dynamic edge flow and sends the updated complete graph adjacency matrix to the HBM for storage, and determines head nodes to be updated of the candidate cliques needing to be updated; a sorting computation unit constructs a sorted set for candidate clique reconstruction by means of data block sorting on the basis of the updated complete graph adjacency matrix and each head node to be updated; an update computation unit executes in parallel, on the basis of the sorted set for candidate clique reconstruction, update tasks of the candidate cliques corresponding to said head nodes, sends the updated candidate cliques to the HBM for storage, and sends the updated candidate cliques to the PC host to perform a filtering operation to extract maximal cliques. In this way, pipelined incremental maximal clique computation is supported, improving the overall computation efficiency of tasks.

The invention discloses a UE scene localization migration and reconstruction method and system based on Gaussian sputtering, and belongs to the technical field of digital scene construction and virtual reality. Track planning is carried out through a virtual camera matrix, a high-definition image sequence is output, camera parameters are extracted synchronously, left and right hand coordinate system conversion is realized by adopting a coordinate system mapping algorithm, and the real-time migration and reconstruction of the UE scene are realized. An initial point cloud is generated in combination with denoising sharpening processing and the depth map, and three-dimensional reconstruction convergence is accelerated; constructing an initial model by using a spherical harmonic function and a covariance matrix, reducing errors by optimizing renderer iteration, exporting a point cloud format, and constructing a real-time rendering framework by means of block sorting and an Alpha mixing technology; and parameters are dynamically adjusted for performance fluctuation, point cloud density information is fused, light and shadow consistency is ensured, and finally a stable high-fidelity scene model is formed. According to the method, the modeling precision and the rendering efficiency of the virtual reality scene are remarkably improved, and reliable support is provided for interactive application.

The invention discloses a load spectrum block ordering method considering an order effect, and relates to the technical field of aero-engine structural member load spectrum compilation, and the method comprises the steps: carrying out the rain flow counting of an actual measurement load spectrum, extracting all load cycles, and determining the order attribute of each cycle based on hysteresis loop analysis; dividing a front cycle and a rear cycle by using a maximum load point of a flight profile, and taking a 0-max-0 cycle as a first-stage reference cycle; step-by-step back insertion is carried out according to the load grades from high to low; multiple sub-blocks at the same level are sorted according to the mean value of the spectral blocks, the minimum value is arranged at the tail end of a parent loop, and the rest are inserted into frequency midpoints; according to the method, the nesting hierarchy of the flight load is accurately reconstructed, it is ensured that the program spectrum is highly consistent with the original flight spectrum in the sequence structure, sequence accumulation is avoided, and the influence of actual load interaction on the fatigue mechanism is finely simulated. Program spectrum compilation requirements under deep nesting and variable working conditions can be flexibly met, and a solid support is provided for efficient generation and fatigue test standardization of a large flight load spectrum.

The invention discloses a sequencing method based on mass data, which belongs to the technical field of data sequencing, and comprises the following steps: data splitting: splitting a data source M to be sequenced into N files; block sorting amp is carried out; extracting: sorting each file according to the sorting fields, and extracting the first X pens of each file; merging and sorting: integrating the sorted and extracted data together, sorting, and storing the first X rows into a result set; and displaying: displaying the result set data in sequence. According to the method, the success of sorting processing can be ensured, and the conditions of memory overflow errors and system crash or extremely slow change are avoided; in the aspect of performance, the processing and sorting quantity is greatly reduced, computing resources can be saved, the CPU utilization rate can be reduced, the response time can be shortened, and remarkable delay generated in the sorting process is avoided; in the aspects of maintenance and management, the system architecture can be simplified, and the level of a fault-tolerant mechanism can be reduced, so that the complexity of system design and maintenance is reduced.

The invention relates to the technical field of parameter configuration, in particular to a programmable audio parameter configuration system which comprises a label boundary extraction module, a semantic field binding module, a structure block sorting module, a configuration parameter path matching module and a control command writing module. According to the method, the voice instruction text is automatically extracted, the effective statement boundary is recognized, functional semantic classification of the configuration command is achieved by combining annotation structure analysis, command and physical resource mapping is completed according to the component configuration path in the unified extensible firmware interface, and a configuration block set capable of being directly executed is formed; a controller command interface is called to complete configuration data real-time write-in and write-in result comparison, each command change field is recorded in the process, a filing track is formed, automatic closed-loop processing of the whole process from command extraction to write-in response is achieved, manual intervention and format errors are avoided, the configuration efficiency and parameter verification precision are improved, and the method is suitable for large-scale popularization and application. The cross-role cooperation frequency is reduced, and the audio debugging response speed is improved.