41results about How to "Flexible segmentation" patented technology

The invention discloses a pull-out office partition, which can flexibly partition an office space, can conveniently switch between an independent static work mode, a cooperative static work mode and a cooperative dynamic work mode, and is characterized by being provided with two or more partition plates, wherein one of a plurality of partition plates is a positioning partition plate, and the rest of the plurality of partition plates are rolling partition plates.

The invention provides a MySQL database horizontal-sharding method. The method includes: distributing a data ID range (Min(n), Max(n)) for a database in a database cluster according to a preset data ID range distribution strategy; and storing MySQL data to each database with the data ID range including data IDs according to the data IDS of the MySQL data. The letter N is a total of the databases in the database cluster, the Min(n) is a minimum boundary value of the data ID range of the n-th database, and the Max(n) is a maximum boundary value of the data ID range of the n-th database. Through the method, the MySQL databases can be sharded and transferred flexibly and extensibility is improved.

The data package multiplexing method for a wireless communication system with both ARQ and HARQ entity on BS media access control layer comprises: pre-defining the transmission block size, then: according to set scheduling algorithm, determining the user device with available wireless resource and service data in relative business PRI sequence for next TTI, and selecting corresponding transmission block size; for every user device, segment processing the service data unit according to selected size, and adding head message to generate ARQ protocol data unit; multiplexing the said ARQ unit, and adding head message to generate a HARQ protocol data unit. This invention supports length-variable protocol data unit.

The invention discloses a parallel partition electromagnetic transient digital simulation method of an AC and DC power system. The method comprises the following steps of: partitioning a target AC and DC power system into a plurality of subnets comprising an AC network subnet, a current converter subnet, a DC network subnet or an AC and DC mixed network subnet; acquiring equivalent impedance matrix and equivalent potential at port point of each subnet; acquiring current of the tie-line between the subnets; acquiring node voltages of each subnet according to the current of the tie-line betweenthe subnets; solving differential equations of a generator, a control system, and the like of each subnet; processing a user self-defined model, an MATLAB model and input and output information of a physical device; processing input and output information of an electromagnetic transient interface. The simulation method has the advantages of flexible net partition mode, high computation speed, andthe like. The simulation method can be simultaneously suitable for electromagnetic transient net partition parallel computation of an AC and DC system, parallel computation of electromechanical transient, accessing a user self-defined model, processing an MATLAB model and a physical device and the like, thereby realizing digital simulation of various transient and dynamic processes of the AC and DC power system.

The invention discloses an image classification method based on denoising sparse automatic encoder and density space sampling. The steps are: construct a training set of image blocks; construct a single hidden layer noise reduction sparse autoencoder, input the image block training set, and train the noise reduction sparse autoencoder; The image is subjected to density space sampling; the noise reduction sparse autoencoder is used to extract local feature set information from the spatial region obtained by density space sampling of each image; the feature set information is encoded by two-layer stacked Fisher Vector to obtain each image The final Fisher vector; use the Fisher vector to train the classifier to achieve image classification. The invention can accurately acquire image information, improves the classification accuracy of images, and can be used in the construction of a large-scale image classification and retrieval system.

The invention provides a transcoding system and method. The system comprises a first transcoding deice and at least one second transcoding device, wherein the first transcoding deice is used for receiving input code streams and transmitting the input code streams to the second transcoding devices; and the second transcoding devices are used for receiving the input code streams, generating sub images corresponding to the second transcoding devices according to identification information and processing serial numbers of the second transcoding devices and a preset image processing mapping table in view of each input image in the input code streams, and processing and outputting the sub images, wherein the preset image processing mapping table characterizes a mapping relation between the identification information of the second transcoding devices and data processing capacity, and the size of the sub image is smaller than or equal to the data processing capacity. The invention further discloses a corresponding transcoding method.

The embodiment of the present disclosure discloses a method and device for segmenting point cloud data, a storage medium, and an electronic device, wherein the method includes: determining the local area where each point cloud data point in the point cloud data set to be processed is located and dividing it into A predetermined number of sub-regions; sort the point cloud data points in each sub-region to obtain a predetermined number of point cloud data groups of the same order; determine that each point cloud data point in each point cloud data group of the same order corresponds to the corresponding The dependency relationship between adjacent point cloud data points, so as to obtain a predetermined number of dependency relationship sets; based on a predetermined number of dependency relationship sets, determine the probability value of each point cloud data point belonging to the predicted category; according to each point cloud data point The probability values ​​assigned to the predicted categories are used to segment the point cloud dataset to be processed. The embodiments of the present disclosure can be applied to object recognition in an outdoor environment in an unmanned driving scene, so as to better assist driving decision-making, and can also be used for recognition of indoor objects in more complex scenes.

The invention relates to the technical field of building frame structure construction, and discloses an anti-seismic steel-wood frame structure system and a construction method thereof. The invention comprises the anti-bending wooden columns located on the periphery of the building, the load-bearing wooden columns located inside the anti-bending wooden columns, and the wooden beams connecting the adjacent wooden columns on the same floor; There are built-in steel bars in the reinforcement tunnel, and the bottom of the bending-resistant wooden column and the load-bearing wooden column are fixedly connected to the independent foundation; It is connected with the load-bearing wooden column, and the socket joint and the bowl buckle joint are provided with steel connection components. The invention has high node strength, strong structural integrity, good shock resistance and low cost.