44results about How to "Keep it real" patented technology

The invention discloses a fluid bed reactor sound-wave monitoring device and method, where the device includes receiving device, amplifying device, signal collecting device and signal processing device; the method includes the following steps: a, receiving sound signal transmitted in the fluid bed reactor; b, analyzing the sound signal, to select the parameters like frequency f, amplitude A, energy E, energy partition Pi in each frequency segment, etc; the practice proves that it has characters of sensitivity, safety and environmental protection, facility and shortcut, etc, can in time and accurately make on-line analysis on the information in the fluid bed (fluid situation, reaction situation, particle size distribution, flow pattern distribution, etc) during the producing practice, and can control production parameters by analyzing result.

A progressive transmission method of 3D models based on feature preservation, which improves the feature preservation on the basis of the original 3D model simplification algorithm. While simplifying the geometric model, it maintains the topological properties and attribute characteristics of the model, and obtains a relatively large amount of data. A small base grid; and on this basis, the compression coding based on octree division is implemented to construct a progressive grid file. When transmitting, first use the octree breadth to first traverse the decoding base grid, and then use the progressive grid transmission method to transmit a series of detail restoration information, continuously improve the model accuracy, and restore the original model, thus solving the problem of response time of traditional transmission methods long question. In addition, an object-oriented viewpoint-related transmission strategy is designed for the 3D scene, which accelerates the real-time rendering of the scene, and puts the object visibility judgment on the client side, reducing the server load.

The invention discloses a life detection system for a split-speed pressing type automobile button, which can simulate the process of pressing a button by hand, divide the pressing speed into a speed before contact and a speed after contact, and test the car button in a real simulated pressing scene. The final pressing distance is constant, which can ensure the effectiveness of each pressing, and maintain the accuracy and authenticity of the test height. At the same time, it can move back to the original position after completing a test, and conduct a second test to ensure the effectiveness of the key life test test. And continuity, high detection efficiency, and the power of the automobile button life detection device is provided by a motor, which can keep rotating in the same direction, which can reduce the inertia of forward and reverse rotation, and further improve the accuracy of the test.

The invention discloses a human facial expression generation method based on a generative confrontation network. The method includes: constructing a deep learning network model, which includes a cyclic neural network, a generator, an image discriminator, a first video discriminator, and a second video discriminator, wherein the cyclic neural network generates time-related motion vectors for input images, and generates The device takes the motion vector and the input image as input, and outputs the corresponding video frame. The image discriminator is used to judge the authenticity of each video frame. The first video discriminator judges the authenticity of the video and classifies it, and the second video discriminator controls the generated video The authenticity and smoothness of the change; use sample images containing different expression categories as input to train the deep learning network model; use the trained generator to generate face videos in real time. The present invention retains face features while generating expressions, the generated video maintains continuity and authenticity, and has generalization ability for different faces.

The invention discloses a crude oil identification method based on microscopic confocal Raman spectrum. The method comprises the following steps: by changing parameters of a Raman spectrometer, respectively acquiring three different types of fingerprint data of a crude oil sample: fingerprint data with significant Raman characteristics and weak fluorescence characteristics, fingerprint data with significant fluorescence characteristics and weak Raman characteristics, and fingerprint data with significant Raman characteristics and fluorescence characteristics; and carrying out clustering analysis on the fingerprint data so as to obtain crude oil clustering results. According to the invention, uncertain factors and errors caused by deducting a baseline by traditional Raman data processing software in a polynomial fitting mode are avoided; due to the mutual complementation and verification of the clustering results of the three types of fingerprint data, the precision and credibility of crude oil identification results can be significantly improved, an important basis can be provided for the responsibility identification and economic compensation of oil spilling events, and a theoretical basis can be provided for exploring a migration and transformation mechanism of oil spilling in pollution abatement and environmental modification processes.