13 results about "Field function" patented technology

The invention provides a topological optimization structure design method based on space control points and a space point control technology of structure topological optimization. The SPCT constructs a field function by utilizing spatial arrangement of control points, so that the number of design variables of topological optimization is effectively reduced, the optimization calculation efficiency is improved, and a chessboard effect and medium-density elements in a traditional topological optimization method are avoided. The control point placement mode is visual, the initial configuration or sample data can be conveniently controlled, and the optimization efficiency is further improved. Besides, sensitivity information based on an SPCT topological optimization model is deduced, a gradient-based optimization framework is established, and a non-gradient algorithm solution scheme can be used to solve the complex nonlinear problem without the help of gradient information. The technology has obvious advantages in the aspects of reducing design variables and improving calculation efficiency, and particularly has wide application prospects in the field of structure optimization design.

Controlling a complex system including: obtaining an input of a functional of field and co-field functions; determining, based on the input functional and using a canonical functional transformation, an input function; determining, based on the input function and using a function transformation, the input basic state and co-state variables; determining, based on the input basic state and co-state variables and using a canonical transformation, input fundamental state and costate variables; determining, based on the input fundamental state and co-state variables and using a control function transformation, output fundamental state and co-state variables; determining, based on the output fundamental state and co-state variables and using an inverse canonical transformation, output basic state and co-state variables; determining, based on the output basic state and co-state variables and using a function transformation, the output function; and determining, based on the output function and using an inverse canonical functional transformation, an output functional of the field and co-field functions.

The invention discloses an antenna near-field coupling partitioning method for scattered radiation collaborative design of a planar antenna, and relates to the technical field of antennas. The method comprises the following steps: acquiring electromagnetic field distribution data of an antenna under a target working frequency; then, according to the electromagnetic field distribution data, calculating a field function partition criterion index of the space around the antenna, so as to divide a function area of the near field of the antenna; and finally, according to the field function partition criterion index, dividing the function areas of the near field of the antenna, and loading different electromagnetic function structures in different function areas. According to the method, a systematic and quantifiable design criterion is adopted, the method is used for near-field coupling partition of the planar antenna, the layout of electromagnetic functional structures with different functions is guided, and therefore the collaborative decoupling design of the radiation performance and scattering performance of the antenna is achieved.

The application provides a topology optimization structure design method based on a space control point, and a space point control technology for structure topology optimization. The SPCT constructs a field function by using the space arrangement of the control points, effectively reduces the number of design variables of the topology optimization, improves the optimization calculation efficiency, and avoids the appearance of the chessboard effect and the medium density elements in the traditional topology optimization method. The control point placement method is intuitive and convenient for controlling the initial configuration or sample data, and further improves the optimization efficiency. In addition, the application derives the sensitivity information of the SPCT topology optimization model, establishes a gradient-based optimization framework, and can use a non-gradient algorithm to solve the scheme without the aid of gradient information to solve complex nonlinear problems. The technology has obvious advantages in reducing design variables and improving calculation efficiency, and has broad application prospects in the field of structure optimization design.

The invention discloses a watermark embedding and copyright protection method based on a signed distance field, and the method comprises the steps: obtaining a plurality of sampling points of an original signed distance field function F space, and enabling the sampling points to be distributed on different contour surfaces; adjusting the distance between the adjacent contour surfaces, embedding watermark information, and fitting a new symbol distance field function; and based on a to-be-verified model and the new fitted symbolic distance field function, watermark verification is carried out, and watermark embedding and copyright protection of the symbolic distance field are completed. According to the method, the watermark is embedded by changing the distance between the adjacent contour surfaces in the SDF space, and the deformation distance is used as watermark information for verification, so that the effective protection of the copyright of the model is realized.

Controlling a complex system including: obtaining an input of a functional of field and co-field functions; determining, based on the input functional and using a canonical functional transformation, an input function; determining, based on the input function and using a function transformation, the input basic state and co-state variables; determining, based on the input basic state and co-state variables and using a canonical transformation, input fundamental state and co-state variables; determining, based on the input fundamental state and co-state variables and using a control function transformation, output fundamental state and co-state variables; determining, based on the output fundamental state and co-state variables and using an inverse canonical transformation, output basic state and co-state variables; determining, based on the output basic state and co-state variables and using a function transformation, the output function; and determining, based on the output function and using an inverse canonical functional transformation, an output functional of the field and co-field functions.

An external field response distribution visualization device (100) includes: a sensing circuit (110) that induces a first field component from each of a plurality of sensing positions; a sensor (130) that senses the intensity of the field at a plurality of sensing positions for each of the plurality of sensing positions; and an information processing circuit (150) that generates an image representing the external field response distribution, the information processing circuit (150) calculating a sensing position-dependent field function that inputs a sensing position and a sensing position and outputs the intensity of the field using the sensing result as a boundary condition, calculating an imaging function that is a function that inputs an imaging target position and outputs an image intensity, is a function determined based on the intensity output from the sensing position-dependent field function by inputting the imaging target position to the sensing position-dependent field function, and generating the image based on the imaging function.

The invention relates to a computer-implemented method for generating a mixed surface for a model of a component. The method comprises: determining a first curve in a three-dimensional space, where for each point on the first curve, the distance of the point to the first surface and the distance of the point to the second surface are within thresholds of predetermined parameters; determining a second curve comprising a projection of the first curve onto the first surface; determining a third curve comprising a projection of the first curve onto the second surface; generating a first field function based on the first curve, the second curve, and the third curve, the first field function including a signed distance of a point in the three-dimensional space to a mixed surface between the first surface and the second surface; and generating the mixing surface based on the first field function.

The invention relates to the technical field of computers, can be applied to business management program systems in the medical field and the financial field, and discloses configuration, device, equipment and medium of a form field component. The configuration method comprises the steps that the corresponding field component is obtained according to a form structure, and the component type of the field component is determined, the field component comprises an input box component, a pull-down component, a cascade component, a time and date component, a single-choice component, a multi-choice component and a text field component; constructing a corresponding container for the field component, and generating a structure identifier in the container according to the component type; determining corresponding field function features according to the structure identifier and the component type, wherein the field function features comprise a search mode, a display logic, a binding strategy and a style requirement; and in response to a received instruction of confirming to load the component configuration interface by the user, executing a configuration operation of the field component in the component configuration interface based on the field function characteristics. The development threshold can be obviously reduced, and the delivery efficiency and stability of the system are improved.

This invention discloses a distributed resource scheduling method and system based on action feature recognition, belonging to the field of resource scheduling technology. First, a dynamic environmental impedance field function is constructed by fusing environmental data such as real-time pedestrian density and elevator status, and a nonlinear attenuation model is used to calculate task scheduling priority. Second, multi-agent reinforcement learning is used to adaptively allocate tasks based on the real-time location, fatigue level, and battery status of the execution terminal. Finally, by collecting IMU signals from the execution terminal, extracting frequency domain features, and matching them with a preset action spectrum template, automated verification of physical work is achieved. This method effectively solves the problems of high path energy consumption, static and rigid rules, and lack of job verification in traditional scheduling, realizing dynamic optimization of resource scheduling and reliable verification of real-world operations.

The present invention sets forth a technique for performing scene decomposition. This technique includes determining, based on a plurality of two-dimensional (2D) representations of a three-dimensional (3D) scene, a different radiance field function for each of a plurality of neural radiance fields (NeRFs). The technique also includes generating a combined radiance field function based on the radiance field functions associated with the plurality of NeRFs. The technique further includes generating a color value for a given 3D location and viewing angle in the 3D scene. The technique further includes computing a decomposition loss based on the difference between the color value and a ground truth color value associated with the 3D location and viewing angle. The technique further includes modifying at least one of the plurality of NeRFs based on the decomposition loss such that each NeRF is associated with a different object in the 3D scene.

The invention relates to the technical field of digital human body models, and discloses a digital human body geometric model tissue boundary segmentation, simplification and fusion generation method. Firstly, point cloud coordinates of all tissues of a human body are obtained through a digital human body geometric model; then according to the point cloud coordinates of each tissue of the human body, determining an implicit field function of each tissue of the human body; based on the implicit field function, boundary segmentation, simplification and fusion are carried out on the human tissue through a fusion algorithm, and a curved surface model of the human tissue is obtained. And a fusion algorithm is utilized to identify the human tissue structure step by step and accurately, so that the difficulty in shape identification of tissues in complex forms is overcome, and the form fidelity and the model practicability are balanced.

The invention provides a multi-material product modeling method for multi-material additive manufacturing, and the method comprises the steps: defining material elements of a three-dimensional shape or a two-dimensional shape based on a target limiting condition of a target object, and constructing multiple material points; expressing a material distribution function of the target object by using a field function; and performing optimization operation on the multi-material overlapping region in the target object to generate a multi-material product model corresponding to the target object. According to the method, optimization operation of the overlapping areas among the multi-material units is analyzed from three aspects of geometry, materials and characteristics, material parameters of multiple materials are effectively expressed, and a multi-material product model is accurately constructed.