4results about How to "Reduce hardware requirements" patented technology

The application discloses a kind of based on spot image moment feature telescope primary and secondary mirror calibration method, belong to telescope computer-aided alignment field.The specific steps of the calibration method are as follows, first, randomly give the free degree misadjustment of telescope system secondary mirror, utilize unbiased finite impulse response moment to extract the spot image feature of multiple field of view within reasonable range under the misadjustment state of telescope;Then utilize fully connected neural network to construct the model between the free degree misadjustment of secondary mirror and the multiple field of view spot image feature matrix;In actual use, after the multiple field of view spot image collected by CCD camera is extracted into feature matrix using unbiased finite impulse response, it is input into the trained neural network model to solve the misadjustment of secondary mirror, to guide the alignment of telescope system.This method aims to wavefront sensor as the image quality evaluation benchmark of telescope without, and without multiple iterations, to improve the efficiency of system primary and secondary mirror alignment and the imaging quality of system.

The application discloses a mechanical structure of a flexible power-assisted exoskeleton system and a control method thereof, and the mechanical structure comprises an actuating unit box, a driving device, a main controller, a power module, an intention detection component and a power-assisted unit; the body function of a user can be enhanced under different environments, including climbing, crawling, going upstairs and downstairs; the control method is characterized in that an inertial measurement unit is fixed on each main limb of the human body, and the real-time measured limb posture data are transmitted to the main controller; the main controller performs mean filtering and preprocessing on the data, so that the credibility of the data is enhanced; the main controller obtains the corresponding human motion phase according to the posture analysis of different human motions; finally, the main controller sends a driving signal to the driving device according to a preset power-assisted strategy, and the motor rotates according to the signal, so that power assistance is achieved. The application has the advantages of simple algorithm, high real-time performance, strong stability, low hardware cost, low hardware demand and easy engineering application implementation.

This invention discloses a distributed beamforming method, system, and apparatus for low-Earth orbit satellites, comprising: acquiring ground user location information and satellites to be communicated with; calculating the transmission paths between multiple satellites and ground users and obtaining the superimposed signal of electromagnetic waves at the ground end; calculating the superimposed power distribution of the ground electromagnetic waves based on the superimposed signal; constructing an objective function that maximizes the average received power of all ground users and the fairness of ground users based on the calculated superimposed power distribution of the ground electromagnetic waves; calculating the optimal satellite and its corresponding initial transmission phase within the selectable set, indirectly controlling the transmission distance from the satellite to the ground end to control the final phase of the electromagnetic waves received by the receiver, thereby maximizing the overall power gain of multiple ground receiving terminals and the fairness among each individual ground user, providing ideal power gain regardless of the location of the ground user, and simultaneously covering multiple users.

The application discloses a kind of electric toothbrush control method and system based on multi-sensor adaptive weighting fusion, its method includes: posture, pressure, spectrum and acoustic data are synchronously collected;After pre-processing and feature extraction, the evidence of multi-sensor is fused using D-S evidence theory, and the regional confidence distribution and behavior mode label are output;Combining reliability factor and the context factor determined by behavior mode, dynamically generate weighting coefficient, weight and fuse multi-source features, obtain comprehensive cleanliness estimate and fused spectrum characteristics;Based on spectrum characteristics, calculate plaque index, based on acoustic characteristics, calculate brushing efficiency score;With plaque index, brushing efficiency score and pressure safety threshold as constraint, establish multi-objective optimization function, solve optimal vibration frequency and amplitude in real time, realize closed-loop control, with the advantages of strong anti-interference, personalized adaptation and the like.