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1.发明公开公开(公告)号：US20230386595A1
公开(公告)日：2023-11-30
申请号：US18233921
申请日：2023-08-15
Inventor： Bo XU , Yuhua CHENG , Kai CHEN , Jia ZHAO , Hang GENG , Yifan WANG
IPC: G11C29/12
CPC classification number: G11C29/12005 , G11C29/1201 , G11C29/12015
Abstract: A random transient power test signal generator based on three-dimensional memristive discrete map, which utilizes a three-dimensional parallel bi-memristor Logistic map module to generate two pseudo-random sequences, and based on the two pseudo-random sequences, uses two waveform output modules to generate a transient voltage signal and a transient current signal respectively, thus the random transient power testing signal is obtained.
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公开(公告)号：US20210215744A1
公开(公告)日：2021-07-15
申请号：US17220160
申请日：2021-04-01
Inventor： Yuhua CHENG , Bo XU , Kai CHEN , Songting ZOU , Libing BAI , Hang GENG , Yanjun YAN , Jia ZHAO
IPC: G01R13/02
Abstract: A system maps and stores data in digital three-dimensional oscilloscope, wherein an ADC module has four ADC submodules. Four acquired waveform data are sent to an extraction module, and buffered in a FIFO module. When a trigger signal arrives, FIFO module outputs four extracted waveform data to a mapping address calculation module for calculating a mapping address and a RAM serial number for each point data, and the waveform data comparison and control module performs the reading and writing control of the 4×N dual port RAMs. When mapping number reaches a frame number, the RAM array module outputs its waveform probability values to the upper computer module to convert each value into RBG values, and the display module displays the waveforms of input signals of four channels on a screen according the RBG values.
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3.发明公开公开(公告)号：US20240020448A1
公开(公告)日：2024-01-18
申请号：US17969516
申请日：2022-10-19
Inventor： Bo XU , Hang GENG , Libing BAI , Yuhua CHENG , Kai CHEN , Songting ZOU
IPC: G06F30/347 , H03K19/177
CPC classification number: G06F30/347 , H03K19/177
Abstract: A circuit and method for simulating real-time reconfigurable general-purpose memristor, nonlinear m-order polynomial fitting of mathematical model of a memristor is performed by using McLaughlin formula. m is related to the amplitude and frequency of an input signal and the fitting accuracy, thus the mathematical model of a memristor can be easily and quickly adapted by updating the polynomial order, the polynomial coefficients and the FPGA system clock cycle. Based on the FPGA, a system state variable generation module, a FIFO, a output module are used to obtain an output signal y[n]. the detailed steps of signal processing and displaying are given to obtain a display of a pinched hysteresis loop and a waveform display of time-domain. Simulation of high frequency memristor by setting polynomial coefficients can be obtained. Meanwhile, this is built based on FPGA, adopt digital circuit to simulates a reconfigurable general-purpose memristor, and experimental accuracy is enhanced.
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公开(公告)号：US20220373577A1
公开(公告)日：2022-11-24
申请号：US17515987
申请日：2021-11-01
Inventor： Bo XU , Kai CHEN , Libing BAI , Lulu TIAN , Hang GENG , Yuhua CHENG , Songting ZOU , Jia ZHAO , Yanjun YAN , Xiaoyu HUANG
Abstract: The present invention provides a system for data mapping and storing in digital three-dimensional oscilloscope, wherein the fixed coefficients, which are calculated according the parameters and settings of a digital oscilloscope, are stored into a fixed coefficient memory CO RAM, the fixed coefficients are outputted to N fractional operation units through N−1 D flip-flop delay units to multiply with the acquired data x(n) and then be accumulated, thus N fractional calculus results are obtained. In this way, N fractional calculus results can be obtained by performing L/N fractional calculus operations. N fractional calculus results are sent to a signal processing and display module, in which they are converted into a display data through a drawing thread, and the display data are sent to LCD for displaying, thus the fractional calculus operation and display of a input signal in a digital oscilloscope is realized.
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5.发明申请公开(公告)号：US20220412919A1
公开(公告)日：2022-12-29
申请号：US17897248
申请日：2022-08-29
Inventor： Libing BAI , Xu ZHANG , Chao REN , Yiping LIANG , Ruiheng ZHANG , Yong DUAN , Jinliang SHAO , Yali ZHENG , Yuhua CHENG
Abstract: The present invention provides a method for eddy current thermography defect reconstruction based on electrical impedance tomography, first, obtaining a thermal reference image of temperature change with time by acquiring a thermogram sequence S of the specimen in the process of heating and fitting a curve for pixels of each location of the thermogram sequence S, then, creating a current matrix and a magnetic potential matrix, and calculating the satisfied conductivity distribution through iterations, so as a reconstructed image is obtained, then taking the low conductivity area of the reconstructed image as the defect profile, thus the defect profile is identified and quantified.
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Patent Agency Ranking
6.发明申请公开(公告)号：US20220182593A1
公开(公告)日：2022-06-09
申请号：US17680390
申请日：2022-02-25
Inventor： Chun YIN , Yuhua CHENG , Zeqi WANG , Xutong TAN , Kai CHEN , Gen QIU , Jianhao LUO , Junjie LIU , Zhibo LI , Aolin YANG
IPC: H04N13/15 , H04N13/239 , H04N13/254 , H04N13/246 , G06T7/33
Abstract: A method for high-precision true color three dimensional reconstruction of mechanical component. Firstly performs image acquisition: the left and right high-resolution grayscale cameras are fixed at same height and spaced at certain distance, an optical transmitter fixed between the two grayscale cameras, and low-resolution color camera fixed above optical transmitter, thus images of measured high-precision mechanical component are shot. Then performs image processing: all images are transmitted to a computer, which uses image processing to record surface information of measured high-precision mechanical component in the point cloud by high-precision true color three-dimensional reconstruction, which reflects color texture information of the surface, so as to realize the non-contact high-precision true color three dimensional reconstruction of high-precision mechanical component. The method uses binocular high-precision grayscale cameras instead of binocular color cameras, which broadens the range of capture wavelengths, retains richer texture details of high-precision mechanical component and improves accuracy of measurement.
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公开(公告)号：US20210383563A1
公开(公告)日：2021-12-09
申请号：US17401760
申请日：2021-08-13
Inventor： Yuhua CHENG , Chun YIN , Xiao YANG , Kai CHEN , Xuegang HUANG , Gen QIU , Yinze WANG
Abstract: The present invention provides a method for quantitatively identifying the defects of large-size composite material based on infrared image sequence, firstly obtaining the overlap area of an infrared splicing image, and dividing the infrared splicing image into three parts according to overlap area: overlap area, reference image area and registration image area, then extracting the defect areas from the infrared splicing image to obtain P defect areas, then obtaining the conversion coordinates of pixels of defect areas according to the three parts of the infrared splicing image, and further obtaining the transient thermal response curves of centroid coordinate and edge point coordinates, finding out the thermal diffusion points from the edge points of defect areas according to a created weight sequence and dynamic distance threshold εttr×dp_max, finally, based on the thermal diffusion points, the accurate identification of quantitative size of defects are completed.
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公开(公告)号：US20230339112A1
公开(公告)日：2023-10-26
申请号：US18140784
申请日：2023-04-28
Inventor： Chun YIN , Yan GAO , Zhongbao YAN , Kai CHEN , Yuhua CHENG , Xutong TAN , Junyang LIU
CPC classification number: B25J9/1664 , B25J9/1671 , B25J9/1692 , B25J19/021
Abstract: Robot assisted multi-view 3D scanning measurement based on path planning includes firstly, establishing a virtual simulation platform to complete the setting of measurement poses and measurement paths and perform the path evaluations of measurement paths. Then, completing the preliminary hand-eye calibration based on the properties of Kronecker product, and the preliminary hand-eye calibration is optimized by establishing a reprojection error cost function as the fitness function of the particle swarm optimization algorithm. Lastly, moving the robot to the measurement poses of the planned measurement paths, obtaining a single-view point cloud of the measured object and transforming it from the camera coordinate system to the robot base coordinate system to obtain a registered single-view point cloud based on the optimized hand-eye matrix. When registered single-view point clouds of all measurement poses are obtained, the points under the robot base coordinate system form a complete point cloud of the measured object.
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公开(公告)号：US20190228517A1
公开(公告)日：2019-07-25
申请号：US16370136
申请日：2019-03-29
Inventor： Yuhua CHENG , Chun YIN , Haonan ZHANG , Xuegang HUANG , Ting XUE , Kai CHEN , Yi LI
Abstract: The present invention provides a method for separating out a defect image from a thermogram sequence based on feature extraction and multi-objective optimization, we find that different kinds of TTRs have big differences in some physical quantities, such as the energy, temperature change rate during endothermic process, temperature change rate during endothermic process, average temperature, maximum temperature. The present invention extract these features (physical quantities) and cluster the selected TTRs into L clusters based on their feature vectors, which deeply digs the physical meanings contained in each TTR, makes the clustering more rational, and improves the accuracy of defect separation. Meanwhile, the present invention creates a multi-objective function to select a RTTR for each cluster based on multi-objective optimization. The multi-objective function does not only fully consider the similarities between the RTTR and other TTRs in the same cluster, but also considers the dissimilarities between the RTTR and the TTRs in other clusters, the RTTR is more representative, which guarantees the accuracy of describing the defect outline.
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公开(公告)号：US20190228221A1
公开(公告)日：2019-07-25
申请号：US16370202
申请日：2019-03-29
Inventor： Chun YIN , Yuhua CHENG , Ting XUE , Xuegang HUANG , Haonan ZHANG , Kai CHEN , Anhua SHI
Abstract: A method for separating out a defect image from a thermogram sequence based on weighted naive Bayesian classifier and dynamic multi-objective optimization. A method extracts these features and classifies the selected TTRs into K categories based on their feature vectors through a weighted naive Bayesian classifier, which deeply digs the physical meanings contained in each TTR, makes the classification of TTRs more rational, and improves the accuracy of defect image's separation. Meanwhile, the multi-objective function does not only fully consider the similarities between the RTTR and other TTRs in the same category, but also considers the dissimilarities between the RTTR and the TTRs in other categories, thus the RTTR selected is more representative, which guarantees the accuracy of describing the defect outline. The initial TTR population approximate solution for multi-objective optimization is chosen according to the previous TTR populations, which makes the multi-objective optimization dynamic and reduces its time consumption.
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