5 results about "Field function" patented technology

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.

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.

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 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.