19 results about "Shape transformation" patented technology

The present invention relates to the technical field of toys. Provided is a transformable structure of a capsule-type toy figure, comprising a capsule shell, a skeleton body and armor. The skeleton body comprises a head building block, the head building block is arranged inside the capsule shell, and the armor is arranged outside the capsule shell, wherein at least one of the following groups is a detachable structure, and due to the detachable structure, part or all of the group can be replaced so as to present different shapes: a first group: the head building block; a second group: the capsule shell; and a third group: the capsule shell and the armor. In the present invention, the head building block itself, the capsule shell itself, and the capsule shell and the armor are all detachable structures, and can be replaced and assembled, so as to present different shapes. A toy has a variety of play modes, providing players with a presentation mode of shape transformation, thereby greatly increasing the fun of the toy.

The application provides a wave-shaped text picture generation method, which is based on an original image to establish a coordinate system, remap pixels, and set a mapping function h(x, y)=y+A|sin(2pi x / T)|, and the height and period of the text fluctuation can be controlled by setting A and T, and the mapping transformation is completed through the Remap() function of OpenCV. The method comprises the following steps: S1. preparing an original image to establish a coordinate system; S2. setting a mapping function: the wave-shaped transformation is completed by remapping the pixels on the image, and the position (x, y) of each pixel is expressed through the remapping, which is g(x, y)=f(h(x, y)); wherein g() is a target image, f() is a source image, and h(x, y) is a mapping method function acting on (x, y); the mapping formula is h(x, y)=y+A|sin(2pi x / T)|, and the height and period of the text fluctuation are controlled by setting A and T; A is the amplitude of the text, and T is the fluctuation period; a new image is generated by controlling the two parameters A and T; and S3. mapping transformation.

A system may receive a training data set including a set of target wafer shape transformations corresponding to negatives of warpage signatures of semiconductor wafers, and a set of training corrective film patterns that reduce warpage signatures of semiconductor wafers. A system may provide a surrogate machine learning model that includes a forward model comprising a first neural network model configured to take as input a corrective film pattern and output a corresponding wafer shape transformation and an inverse model comprising a second neural network model configured to take as input a wafer shape transformation and output a corresponding corrective film pattern. A system may train a forward model using training corrective film patterns. A system may train an inverse model using target wafer shape transformations, output from a forward model, and by calculating a loss that includes a regularization penalty for film patterns outside a main distribution.

A computer-implemented method, the method comprising: accessing an image of a sample; detecting one or more shapes in the image; constructing a virtual map based on the detected one or more shapes in the image and a set of virtual map construction rules; and automatically navigating to a target area of the sample based on the virtual map to process the sample using a charged particle beam microscope. Another method includes accessing dynamically obtained shape data associated with an image of a sample; detecting one or more shapes in the image and converting the detected one or more shapes into found shape data; accessing artificial reference shape data; comparing the found shape data with the artificial reference shape data by object matching optimization to determine an alignment between the found shape data and the artificial reference shape data; and navigating to a target area of the sample based on the alignment.

The invention relates to the technical field of toys, and provides a convertible structure of a capsule type doll, which comprises a capsule shell, a skeleton body and an armor, the skeleton body comprises a head building block, the head building block is arranged in the capsule shell, the armor is arranged outside the capsule shell, and the capsule shell is provided with an opening. At least one group is of a detachable structure, and part or all of the group can be replaced to present different shapes due to the detachable structure; the first group is a head building block; a second group; a capsule shell; and the third group comprises a capsule shell and an armor. The head building block body, the capsule shell body, the capsule shell body and the armor are of detachable structures and can be replaced and assembled so as to present different shapes, one toy has multiple playing methods, a shape changing presentation mode is provided for players, and the interestingness of the toy is greatly improved.

This invention relates to the field of artificial intelligence technology, providing a deformable convolution acceleration method, electronic device, storage medium, and program product, comprising: acquiring an input feature map, an offset tensor, and an original weight tensor; performing interpolation sampling on the input feature map based on the offset tensor, concatenating and unfolding sampling results belonging to the same spatial location along the channel dimension to generate a continuously stored intermediate tensor; performing shape transformation on the original weight tensor to obtain a target weight tensor with a spatial dimension of one-to-one and a channel dimension matching the intermediate tensor; and performing a one-to-one convolution operation based on the intermediate tensor and the target weight tensor to obtain an output feature map. This invention, through the collaborative design of continuous data arrangement and weight shape rearrangement, transforms discrete data computation into an efficient one-to-one convolution operation that supports continuous data input, thereby fully utilizing high-performance computing units and improving the utilization rate of hardware computing resources and operator execution performance.

The invention discloses a defect detection system and method for a glue dripping mold, and relates to the technical field of glue dripping mold defect detection, and the system comprises a data acquisition module, a reference form transformation curve acquisition module, a form transformation signal generation module, a reference radian coefficient acquisition module, a deformation corner marking module and a corner defect type determination module. The technical problem that complex defects, such as warping, collapse and dislocation defects, of four corner parts of the mold cannot be effectively detected and recognized due to the fact that a current mold quality detection mode lacks comprehensive analysis on the relative position relation of an inner mold and an outer mold is solved. The radian data of the four corners of the die to be detected are collected in real time, the real-time radian coefficient is compared with the corresponding reference radian coefficient, the deformed corners are marked, and the real-time radian distance of the deformed corners is compared with the calculated radian distance, so that the deformed corners can be further subdivided into three types of warping, collapse and dislocation; and automatic classification of defects is realized.

An electroactive-gel-based shape transformation module according to the present invention may include an electroactive gel having a predetermined height, a first electrode disposed to adjoin one side of the electroactive gel, a second electrode disposed to adjoin the other side of the electroactive gel, a module housing having therein an accommodation region that accommodates a part of the electroactive gel, the first electrode, and the second electrode, and a flexible film having a lower surface supported by an upper portion of the electroactive gel.

The invention discloses a nameplate OCR (Optical Character Recognition) optimization method in a complex environment, which belongs to the technical field of character recognition and comprises the following steps: acquiring original image data acquired in an engine through endoscope equipment; performing geometric shape transformation and perspective angle correction based on the original image data to generate corrected image data; extracting edge contour features from the corrected image data, identifying boundary lines of a nameplate area, determining a coordinate range of a nameplate position, and cutting a nameplate target area from the corrected image data according to the coordinate range of the nameplate position; pixel interpolation and detail recovery are carried out on the nameplate target area, and a high-resolution image area is generated; and scanning and analyzing characters in the high-resolution image area to obtain analysis identification data. According to the nameplate OCR identification optimization method in the complex environment, the problem that nameplate characters are difficult to accurately identify due to distortion and low resolution of an image collected by an endoscope in a narrow channel of an engine is solved.

This application provides a batch-sequence hybrid parallel method, device, storage medium, and program product, relating to the field of artificial intelligence chip technology. The method includes: obtaining the original batch size and original sequence length of the original tensor; when the ratio of the original batch size to the sequence parallelism is not an integer, performing a shape transformation operation on the original tensor to obtain a target tensor, such that the target batch size of the target tensor in the batch dimension is an integer multiple of the sequence parallelism. This allows the target tensor to be uniformly divided into M first sub-tensors in the batch dimension, and the M first sub-tensors are distributed to M devices for parallel computation to obtain a first computation result. During the computation process, each device does not need to store the entire target tensor, but only needs to store the allocated first sub-tensors, thus greatly reducing memory usage; when M devices perform parallel computation on the target tensor, computational efficiency can be greatly improved, thereby enhancing the overall performance of model training.

The application relates to a method for optimizing reentry trajectories of a hypersonic variable aircraft driven by reinforcement learning, and belongs to the fields of hypersonic aircrafts and trajectory optimization. The application is realized by the following method: a parameterized model of a hypersonic variable aircraft including a waverider fuselage and two variable wings is established based on a category shape transformation method (CST); a Kriging surrogate model is established by considering the influences of factors such as flight height H, flight Mach number Ma, attack angle alpha, inner wing segment sweepback angle chi1 and outer wing segment sweepback angle chi2, so as to obtain the aerodynamic performance of the hypersonic variable aircraft; and a reentry trajectory optimization model driven by a DDPG (Deep Deterministic Policy Gradient) algorithm is trained by combining expert experience and the constraints of dynamics, initial and final states, heat flow, overload and dynamic pressure during the flight process, according to the flight characteristics of the hypersonic variable aircraft during the reentry flight process. Through flight simulation prediction of different hypersonic variable aircrafts, variable decision-making is realized in real time, and the reentry trajectory optimization of the hypersonic variable aircraft is realized.

Shape-restoring materials, as well as techniques for generating shape-restoring materials, are described. An example method includes generating a construct by exposing, to UV-visible light, a resin comprising a globular protein, a water-soluble co-monomer, light-to-heat converting nanoparticles, water, and a photoinitiator. At least a portion of the water is removed from the construct. The construct is converted from a first shape to a second shape by applying a force to the construct. The construct is reverted to the first shape in response to being exposed to NIR light, due to the absorption of the NIR light by the nanoparticles.

The invention discloses an aerodynamic configuration optimization method and system based on a two-stage particle swarm optimization algorithm, and solves the technical problem of poor aerodynamic configuration optimization effect caused by the fact that a fixed inertia weight coefficient of a traditional single-stage PSO algorithm is difficult to give consideration to global exploration and local convergence capabilities at the same time in the aerodynamic optimization problem. The method comprises the steps that when aerodynamic configuration optimization needs to be carried out, a first-stage particle swarm is initialized based on a predefined class shape transformation variable value range, and a global optimal value sequence is constructed and output through a random inertia weight strategy in combination with predefined learning factors, particle historical individual optimization and population global optimization; second-stage particles are obtained through three times of B-spline screening, the second-stage particles are iteratively updated by adopting a predefined fixed inertia weight and a learning factor to determine target global optimal particles, finally, the geometric shape coordinates of the airfoil profile are calculated based on the class shape transformation variables corresponding to the particles, and aerodynamic shape optimization is achieved.

The invention provides a model rendering method and apparatus, and an electronic device. The method comprises the steps of obtaining a rectangular model and a texture map corresponding to the rectangular model; the rectangular model has a plurality of vertexes, and the texture map is used for enabling the rectangular model to display a longitudinal track; performing position transformation processing on a plurality of vertexes of the rectangular model based on predetermined shape transformation parameters, so that the vertexes at the transformed positions are connected to form a trapezoidal model; the shape transformation parameters are used for mapping rectangles into trapezoids; and rendering the trapezoidal model based on the transformed positions of the plurality of vertexes and the texture map to display the rendered longitudinal track in the graphical user interface. The track association with the perspective effect is displayed in the mode, visual impact is achieved, the exploration interest of players is easily aroused, the retention rate of games is increased to a certain degree, and the utilization rate of resources of a game system is increased.

A computer-implemented method, comprising accessing an image of a sample, detecting one or more shapes in the image, constructing a virtual map based on the detected one or more shapes in the image and a set of virtual map construction rules, and based on the virtual map, automatically navigating to a target region of the sample to process the sample with a charged particle beam microscope. Another method includes accessing dynamically obtained shape data associated with an image of a sample, detecting one or more shapes in the image and converting the detected one or more shapes into found shape data, accessing artificial reference shape data, comparing the found shape data and the artificial reference shape data with an object matching optimization to determine an alignment between the found shape data and the artificial reference shape data, and navigating to a target region of the sample based on the alignment.

The invention discloses a shape fillet editing method and system, and relates to the technical field of artificial intelligence, and the method comprises the steps: receiving a fillet editing instruction inputted by a user, the fillet editing instruction comprising a target shape, a target corner and a fillet radius; converting the target shape into a free shape supporting node editing; performing three times of Bezier curve arc fitting calculation on the single or multiple target angles corresponding to the target angle to obtain four Bezier control point starting points, a first control handle end point, a second control handle end point and an end point; a cubic Bezier curve segment corresponding to the arc is generated based on the four Bezier control points; adding the cubic Bezier curve segment to a free shape, and replacing the segment part corresponding to the target angle; the free shape added with the cubic Bezier curve segment is converted into a new fitting shape, the new fitting shape with the fillet effect is output, and the problem that in the prior art, shape fillet editing cannot be rapidly and accurately conducted on the specified angle of the target shape is solved.

The utility model discloses a gyroscope transformation toy. The gyroscope transformation toy comprises a modeling main shell, a rotating piece, an elastic piece, a modeling gyroscope piece and a limb modeling assembly. The modeling gyroscope piece can be in limiting fit with the rotating piece and the one-way limiting structure, the modeling gyroscope piece can rotate in the first direction to drive the rotating piece to rotate, the one-way limiting structure limits the modeling gyroscope piece to rotate in the second direction, and under the action of external force, the rotating piece slides along the barrel shell and abuts against the modeling gyroscope piece so that the modeling gyroscope piece can be disengaged from the one-way limiting structure. And the driving rotating piece drives the modeling spinning top piece to rotate. The gyroscope transformation toy has a first state and a second state, in the first state, the limb modeling assembly is contained in the cavity, and in the second state, the limb modeling assembly extends out of the modeling main shell through the opening. According to the top transformation toy, transformation and top launching rotation playing methods are integrated, shape transformation and energy storage launching rotation of the top piece can be achieved, the playing methods are rich, operation is convenient and fast, the structure is stable, and the compound entertainment experience requirement of children is met.

To provide an NC program automatic generation system capable of automatically generating an NC program for machining the inclined surface shape of a workpiece using a tapered shape universal tool.SOLUTION: The NC program automatic generation system includes a 3D model generation unit that generates 3D models of a workpiece and material, a tool model generation unit that generates a model of a tool shape, a tool path generation unit that generates a tool path, and an NC program conversion unit that converts the tool path into an NC program. When manufacturing a workpiece having an inclined surface shape, the 3D model generation unit generates a 3D model of the workpiece with its inclined surface shape modified into a stepped shape. The tool model generation unit generates a tool model by replacing a tapered tool with a cylindrical tool. The tool path generation unit uses the material 3D model, the workpiece 3D model, and the tool model to generate a tool path for creating the inclined surface shape.SELECTED DRAWING: Figure 1

The invention relates to a construction method and device of a complex contour model, and relates to the technical field of structured modeling, and the method comprises the steps: determining a first vertex coordinate and a first midpoint coordinate of a to-be-filled complex contour, and carrying out the three-dimensional graph modeling based on a preset regular cube structure, and obtaining a cube combination result; performing grid division on the cube combination result to obtain a grid division result, and determining a second vertex coordinate and a second midpoint coordinate of the cube combination result based on the grid division result; determining a vertex displacement difference value between the first vertex coordinate and the second vertex coordinate, and determining a midpoint displacement difference value between the first midpoint coordinate and the second midpoint coordinate; and performing shape transformation on the cube combination result based on the vertex displacement difference value and the midpoint displacement difference value to obtain a complex contour model corresponding to the to-be-filled complex contour. The problem that a complex contour model cannot be constructed based on a lattice structure is solved.