Patents
Literature
Patsnap Eureka AI that helps you search prior art, draft patents, and assess FTO risks, powered by patent and scientific literature data.

6 results about "Slice method" patented technology

Slope stability multi-layer synchronous experiment equipment based on splitting method and control system

PendingCN121959769AImplement dynamic deliveryAvoid the difficulty of reproducing the earth pressure fieldGeometric CADClimate change adaptationControl systemClassical mechanics
The invention relates to the technical field of numerical simulation and data processing, in particular to slope stability multi-layer synchronous experiment equipment based on a splitting method and a control system. According to the invention, soil pressure transmission among different slippery mass strips is simulated through the multi-layer synchronous experimental equipment. Through the cooperation of the stress sensor matrix and the oil hydraulic cylinder matrix, the soil pressure of each sliding mass strip block can be transmitted to the next sliding mass strip block in real time, so that the evolution process of the soil pressure in the whole slope system is accurately simulated. The time sequence change of the soil pressure is recorded through the stress sensor, and mechanical modeling is carried out according to the data, so that the dynamic transmission of the soil pressure among different slippery mass strips is realized, and the defect that a soil pressure field is difficult to reproduce in a traditional experimental method is overcome; through the matrix positioning and loss compensation module, the problem of matrix position dislocation of the stress sensors and the oil hydraulic cylinders is solved, so that the positions of the stress sensors and the oil hydraulic cylinders of different sliding mass strip blocks in an experiment can be accurately aligned, and the precision of force field transmission is ensured.
Owner:NORTHWEST RES INST CO LTD OF C R E C +2

A video intelligent slicing method based on multi-modal information fusion and semantic constraint

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.
Owner:YUELAI INTELLIGENT MEDIA (TIANJIN) TECHNOLOGY CO LTD

A network slicing method based on data clustering

The application discloses a network slice method based on data clustering, and comprises the following steps: firstly, a plurality of user data are acquired, the characteristics in the user data are normalized, and corresponding threshold values are set; it is judged whether the characteristic values are greater than the corresponding threshold values; if yes, 1 is assigned; if no, 0 is assigned; secondly, the characteristic frequent occurrence times of each characteristic are defined as the total times of the characteristic values being 1 in single user data, and the characteristic frequent occurrence times of each characteristic are obtained by scanning the user data; then, the minimum characteristic frequent occurrence time is set, the characteristics with the characteristic frequent occurrence times less than the minimum characteristic frequent occurrence time are deleted, and the remaining characteristics are arranged according to the characteristic frequent occurrence times; a tree diagram is constructed according to the arranged characteristics, frequent item sets are found in the tree diagram, and a normalized hypergraph is made; finally, the strong correlation between the characteristics is judged by using the obtained hypergraph, and a network slice resource allocation scheme is made. The application can reasonably, efficiently and fairly allocate the network slice resources.
Owner:ZHEJIANG UNIV CITY COLLEGE

A ship type comprehensive optimization method

ActiveCN120162887BGeometric CADVessel designingSeakeepingAlgorithm
This invention relates to the field of ship hull optimization, specifically to a comprehensive ship hull optimization method, comprising: S1, setting constraints; S2, designing deformation control points and their deformation ranges; S3, constructing a genetic algorithm and setting its parameters; S4, calculating the hydrostatic resistance and fitness of individuals; S5, determining whether the maximum number of generations of the genetic algorithm has been reached; S6, selecting and replicating individuals with high fitness; S7, performing crossover and mutation on individuals with high fitness, and returning to S4; S8, terminating the genetic algorithm and outputting at least two hydrostatic resistance optimization schemes; S9, using the slicing method to calculate the wave resistance increase of the hydrostatic resistance optimization schemes; S10, selecting the scheme that best meets the shipowner's needs as the optimal scheme, and calculating the corresponding optimal ship hull hull using the FFD method. This invention achieves a balance between optimizing the speed and seakeeping of ships while reducing computational load.
Owner:SHANGHAI SHIP & SHIPPING RES INST CO LTD

Material microstructure three-dimensional reconstruction method

The invention relates to the technical field of material microstructure three-dimensional characterization, and discloses a material microstructure three-dimensional reconstruction method, which comprises the following steps: acquiring multi-source data of multiple layers of material slices of a to-be-reconstructed material; the multi-source data corresponding to each layer of material slice comprises three-dimensional shape information and microscopic structure characteristic information of the material slice; for each layer of material slice, based on the multi-source data, constructing a three-dimensional point cloud picture corresponding to the material slice, and based on grain boundary feature constraints, performing interpolation processing on missing value pixel points in the three-dimensional point cloud picture; and generating a three-dimensional reconstruction image corresponding to the to-be-reconstructed material based on the three-dimensional point cloud atlas corresponding to each material slice. According to the method, the problem of reconstruction errors caused by neglecting the characteristics of the non-flat slices prepared by the continuous slicing method in the traditional three-dimensional reconstruction technology is effectively solved, the three-dimensional reconstruction precision of the non-flat continuous slices is remarkably improved, and a high-precision solution is provided for three-dimensional crystallography representation of metal materials.
Owner:NCS TESTING TECHNOLOGY CO LTD

Bit-slicing method and device, and DNN accelerator with slice-level sparsity exploitation based thereon

PendingUS20260186744A1Bit slicingSign bit
A bit-slicing method comprises: dividing input data into predetermined bit units to obtain a plurality of intermediate representation slice data; and sequentially obtaining higher-order slice data by adding, to a higher-order intermediate representation slice data, a sign bit that is a most significant bit of lower-order slice data obtained in a previous step and a carry bit generated in a process of obtaining the lower-order slice data.
Owner:UI (UNIVERSITY IND FOUNDATION) YONSEI UNIVERSITY