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27801results about How to "Reduce mistakes" patented technology

Micro-interface enhanced reactor bubble scale structure-activity regulation and control model building method

The invention relates to a micro-interface enhanced reactor bubble scale structure-activity regulation and control model building method. The diameter dmax of the largest bubble of a micro-interface enhanced reactor and the diameter dmin of the smallest bubble of the micro-interface enhanced reactor serve as independent variables, the average diameter d32 of the bubble Sauter serve as a dependentvariable, and a numerical relationship is built; based on the Kolmogorov-Hinze theory, the relationship between the diameter dmax of the largest bubble of the micro-interface enhanced reactor, the diameter dmin of the smallest bubble and the parameters of the reactor is built. According to the method, the reactor bubble scale is associated with the structural parameter, the operation parameter andthe physical property parameter of the reactor by using specific numerical relationship, the numerical relationship has the guiding significance for the design of the reactor and can be applied to avariety of reactors, the versatility is good, by means of a bubble scale regulation and control model built through the method, by adjusting the structural parameter and the operation parameter of thereactor, and the maximization of energy efficiency and material efficiency in the reaction process can be achieved, or under the condition that reaction targets, energy consumption and material consumption are given, a high-efficiency reactor structure is designed.
Owner:NANJING UNIV

Smart device to measure tissue thickness

The invention relates to an intelligent instrument for measuring the tissue thickness. The intelligent instrument comprises a button cell type intelligent thickness measuring clip or an external power supply type intelligent thickness measuring clip, a linear incision anastomat or a manual thickness measuring instrument or an automatic thickness measuring instrument, and a staple anvil. The button cell type intelligent thickness measuring clip comprises an outer shell, a pressing key, waterproof soft glass, an integrated circuit board and a bottom cover. The waterproof soft glass is arranged between the pressing key and the integrated circuit board and covers the surface of the pressing key. A button cell, a power module, a display module, a tissue pressure intensity measuring module, a tissue thickness measuring module, a control module and a wireless transmission module are mounted on the back face of the integrated circuit board. An eddy-current transducer and a pressure sensor are mounted on the front face of the integrated circuit board. The button cell type intelligent thickness measuring clip is matched with a wireless transmission device. The intelligent instrument for measuring the tissue thickness has the advantages that the tissue thickness can be measured in a quantitative mode, tissue thickness measurement is accurate, corresponding anastomotic staple cartridges can be selected conveniently, and the success rate of anastomotic surgery is increased.
Owner:UNIV OF SHANGHAI FOR SCI & TECH

Zero sample image classification method based on combination of variational autocoder and adversarial network

ActiveCN108875818AImplement classificationMake up for the problem of missing training samples of unknown categoriesCharacter and pattern recognitionPhysical realisationClassification methodsSample image
The invention discloses a zero sample image classification method based on combination of a variational autocoder and an adversarial network. Samples of a known category are input during model training; category mapping of samples of a training set serves as a condition for guidance; the network is subjected to back propagation of optimization parameters through five loss functions of reconstruction loss, generation loss, discrimination loss, divergence loss and classification loss; pseudo-samples of a corresponding unknown category are generated through guidance of category mapping of the unknown category; and a pseudo-sample training classifier is used for testing on the samples of the unknown category. The high-quality samples beneficial to image classification are generated through theguidance of the category mapping, so that the problem of lack of the training samples of the unknown category in a zero sample scene is solved; and zero sample learning is converted into supervised learning in traditional machine learning, so that the classification accuracy of traditional zero sample learning is improved, the classification accuracy is obviously improved in generalized zero sample learning, and an idea for efficiently generating the samples to improve the classification accuracy is provided for the zero sample learning.
Owner:XI AN JIAOTONG UNIV

Regional depth edge detection and binocular stereo matching-based three-dimensional reconstruction method

The invention discloses a regional depth edge detection and binocular stereo matching-based three-dimensional reconstruction method, which is implemented by the following steps: (1) shooting a calibration plate image with a mark point at two proper angles by using two black and white cameras; (2) keeping the shooting angles constant and shooting two images of a shooting target object at the same time by using the same camera; (3) performing the epipolar line rectification of the two images of the target objects according to the nominal data of the camera; (4) searching the neighbor regions of each pixel of the two rectified images for a closed region depth edge and building a supporting window; (5) in the built window, computing a normalized cross-correlation coefficient of supported pixels and acquiring the matching price of a central pixel; (6) acquiring a parallax by using a confidence transmission optimization method having an acceleration updating system; (7) estimating an accurate parallax by a subpixel; and (8) computing the three-dimensional coordinates of an actual object point according to the matching relationship between the nominal data of the camera and the pixel and consequently reconstructing the three-dimensional point cloud of the object and reducing the three-dimensional information of a target.
Owner:江苏省华强纺织有限公司 +1

Calibration method of correlation between single line laser radar and CCD (Charge Coupled Device) camera

The invention discloses a calibration method of correlation between a single line laser radar and a CCD (Charge Coupled Device) camera, which is based on the condition that the CCD camera can carry out weak imaging on an infrared light source used by the single line laser radar. The calibration method comprises the steps of: firstly, extracting a virtual control point in a scanning plane under the assistance of a cubic calibration key; and then filtering visible light by using an infrared filter to image infrared light only, carrying out enhancement, binarization treatment and Hough transformation on an infrared image with scanning line information, and extracting two laser scanning lines, wherein the intersection point of the two scanning lines is the image coordinate of the virtual control point in the image. After acquiring multiple groups of corresponding points through the steps, a correlation parameter between the laser radar and the camera can be solved by adopting an optimization method for minimizing a reprojection error. Because the invention acquires the information of the corresponding points directly, the calibration process becomes simpler and the precision is greatly improved with a calibrated angle error smaller than 0.3 degree and a position error smaller than 0.5cm.
Owner:NAT UNIV OF DEFENSE TECH

Charge state evaluation method and system of power lithium ion battery

The invention is a charge state evaluation method and system of a power lithium ion battery. According to the method, step one is to establish a circuit model of an equivalent battery. Charging and discharging and standing experiments are performed on the battery, and timing sampling is performed so that a voltage time curve is obtained. Model parameters are identified via a formula so that a non-linear relation between an open-circuit voltage OCV and an SoC is obtained. Step two is to obtain an optical estimation value of the SoC by matrixes of state prediction, prediction error variance, filtering gain, state estimation, estimation error variance, etc., according to Kalman algorithm. According to the system, an analog / digital converter, a program storage device, a programmable storage device, a timer and a displayer are respectively connected with a microprocessor. A current sensor and a voltage sensor are respectively connected in a circuit formed by connecting the battery to be tested and a load, and outputs of the current sensor and the voltage sensor are accessed into the analog / digital converter. The programmable storage device stores battery model parameters obtained by the experiments. The program storage device stores estimation program of the method. Estimation precision of the SoC can reach 1%, and the charge state evaluation method and system is more stable; besides, the system provides estimation values of the SoC in real time.
Owner:GUILIN UNIV OF ELECTRONIC TECH

Determination apparatus and determination method for concrete impact flexural-tensile injury based on non-equilibrium state

InactiveCN104913985AOvercoming the difficulty of measuring the transmitted wave in the testReduce mistakesMaterial strength using single impulsive forceData acquisitionEquilibrium constant
The present invention discloses a determination apparatus for concrete impact flexural-tensile injury based on non-equilibrium state. The determination apparatus is characterized by comprising a gas gun, a bullet, an incident rod, a transmission rod, a strain sheet, a bridge box and a data acquisition system connected with a computer, wherein the strain sheet is adhered on the middle portion of the incident rod and is connected with the data acquisition system through the bridge box, the incident rod and the transmission rod are respectively provided with a sleeve head, the sleeve heads are respectively provided with a pad block, and a concrete specimen is sandwiched between the pad blocks on the two rods. With the determination apparatus and the determination method of the present invention, the concrete injury theory is introduced into the flexural concrete determination under impact load, such that the difficulty that the flexural concrete injury time is short under the impact load is overcome, and the relationship curve between the tensile strength and the injury time during the concrete flexibility is obtained; and the difficult problem that the transmitted wave is difficult to determine through the test is overcome, and the error is substantially reduced during the wave superimposing.
Owner:POWERCHINA XIBEI ENG +1

Multiple video cameras synchronous quick calibration method in three-dimensional scanning system

A synchronous quick calibration method of a plurality of video cameras in a three-dimensional scanning system, which includes: (1) setting a regular truncated rectangular pyramid calibration object, setting eight calibration balls at the vertexes of the truncated rectangular pyramid, and respectively setting two reference calibration balls at the upper and lower planes; (2) using the video cameras to pick-up the calibration object, adopting the two-threshold segmentation method to respectively obtain the corresponding circles of the upper and lower planes, extracting centers of the circles, obtaining three groups of corresponding relationships between circle center points in the image and the centres of calibration ball in the space, solving the homography matrix to obtain the internal parameter matrix and external parameter matrix and obtaining the distortion coefficient, taking the solved video camera parameter as the initial values, and then using a non-linear optimization method to obtain the optimum solution of a single video camera parameter; (3) obtaining in sequence the external parameter matrix between a plurality of video cameras and a certain video camera in the space, using the polar curve geometric constraint relationship of the binocular stereo vision to establish an optimizing object function, and then adopting a non-linear optimization method to solve to get the optimum solution of the external parameter matrix between two video cameras.
Owner:NANTONG TONGYANG MECHANICAL & ELECTRICAL MFR +1

Active reliability analyzing and evaluating method for highly-reliable mechanical products

The invention provides an active reliability analyzing and evaluating method for highly-reliable mechanical products. The active reliability analyzing and evaluating method for the highly-reliable mechanical products includes: firstly, establishing ultimate state functions of mechanical products, utilizing a Monte Carlo simulation method to produce sample points conforming to parameter distribution, utilizing a Kriging meta-model to simulate the ultimate state functions, improving simulation precision and confirming an optimal sampling radius by automatically updating DOE (design of experiment), constructing important sampling density functions, producing random sample points through the important sampling density functions, updating the DOE continually, then extracting radius random sample points obeying chi-square distribution, confirming failure probability and failure coefficient of variation of the mechanical products, and limiting whether updating finishes or not by the failure coefficient of variation so as to obtain reliability of the mechanical products finally. The active reliability analyzing and evaluating method for the highly-reliable mechanical products has the advantages of high efficiency, good robustness and high simulation precision, comprehensive design and analysis of rail wear life and reliability to spatial mechanisms are achieved, and the active reliability analyzing and evaluating method for the highly-reliable mechanical products is significant to reliability design technology engineering of complex mechanisms of aerospace equipment.
Owner:BEIHANG UNIV

Vehicle speed detection method based on target motion track

ActiveCN104282020ACreate a two-dimensional mapping relationshipInformativeImage enhancementImage analysisFeature extractionInter frame
The invention discloses a vehicle speed detection method based on a target motion track. The method includes the steps of target segmentation, target tracking conducted on the basis of Kalman filtering and speed calculation, wherein the combination of an inter-frame difference method and a fixed threshold value method is mainly adopted in target segmentation, and a segmentation result is acquired; target tracking conducted on the basis of Kalman filtering is divided into the processes of mass center acquisition, motion model establishment, motion target feature extraction and state vector updating, and therefore the target motion track is acquired; a speed calculation method mainly refers to track related point information acquisition, mapping relation establishment, speed calculation and speed correction, the mapping relation establishment mainly refers to conversion from pixel coordinates in an image to actual distances, in other words, the actual distance, corresponding to an actual coordinate system, of each pixel point in the image is calculated, speed calculation mainly refers to calculation of related information provided by the vehicle track in the mode that the distances are divided by time according to a speed calculation formula and a result is corrected according to the actual condition.
Owner:CHINA SHIPPING NETWORK TECH

Terminal positioning track fitting method based on Bezier curve

The invention belongs to the field of satellite navigation and particularly relates to a terminal positioning track fitting method based on a Bezier curve. The terminal positioning track fitting method comprises: step 1, a curvilinear function of a third-order Bezier curve is as follows: two adjacent sampling points Pn and P(n+1) serve as the starting point and the final point of the third-order Bezier curve, namely P0=Pn, and P3=P(n+1); step 2, P1 is enabled to be equal to a control point Pn' of the Bezier curve of the sampling point Pn; step 3, P2 is enabled to be equal to a control point P(n+1)' of the Bezier curve of the sampling point P(n+1); and step 4, the control point Pn' of the Bezier curve of the sampling point Pn, the sampling point P(n+1) and the sampling point Pn and the control point P(n+1)' of the Bezier curve of the sampling point P(n+1) are substituted into the third-order Bezier curve to obtain: B(t)=Pn(1-t)3+3Pn' t(1-t)2+3P(n+1)'t2(1-5)+Pn+1t3, t belongs to (0,1), and the fitted curve function of the actual track of the positioning terminal can be obtained, and the function is an interpolation function of the function; and step 5, the step1, step2, step3 and step 4 are repeated to calculate the fitted curve function of the next pair of adjacent sampling points until the final sampling point.
Owner:XIAMEN YAXON NETWORKS CO LTD

Rainfall prediction method, system and electronic device

The invention belongs to the meteorological service technical field and relates to a rainfall prediction method, a rainfall prediction system and an electronic device. The method comprises the following steps that: a) radar maps of different heights in different time periods and meteorological information sequences in the corresponding time periods are extracted; b) a deep neural network-based rainfall prediction model is constructed; and c) the extracted radar maps and the meteorological information sequences are inputted the rainfall prediction model, time series analysis is performed on theinputted radar maps and meteorological information sequences through the rainfall prediction model, so that radar map space-time characteristics and meteorological information time-series features corresponding to the time periods are obtained, and rainfall prediction values corresponding to the time periods are outputted according to the radar map space-time characteristics and the meteorological information time-series features. According to the rainfall prediction method, the rainfall prediction system and the electronic device of the invention, long-term and short-term time series dependencies in the trend of the change of the radar maps over time are fully utilized; other meteorological information is incorporated; a variety of data sources are synthesized; and therefore, short-termfuture rainfall can be accurately predicted.
Owner:SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI

Visual and inertial navigation fusion SLAM-based external parameter and time sequence calibration method on mobile platform

The invention discloses a visual and inertial navigation fusion SLAM-based external parameter and time sequence calibration method on a mobile platform. The method comprises an initialization stage, wherein the relative rotation parameters between two frames estimated by a camera and an IMU are aligned through a loosely-coupled method, and the relative rotation parameters of the camera and the IMUare estimated and obtained; a front-end stage, wherein the front end completes the function of a visual odometer, namely, the pose of the current frame of the camera in the world coordinate system isgenerally estimated according to the pose of the camera in the world coordinate system estimated in the former several frames, and the estimated value serves as an initial value of back-end optimization; a back-end stage, wherein some key frames are selected from all the frames, variables to be optimized are set, a uniform objective function is established, and optimization is carried out according to the corresponding constraint conditions, and therefore, accurate external parameters are obtained. By adoption of the method disclosed by the invention, the error of the estimated external parameters is relatively low, and the precision of the time sequence calibration track is high.
Owner:SOUTHEAST UNIV

Android device wireless fidelity (WiFi) indoor locating method based on position fingerprint identification algorithm

The invention discloses an Android device wireless fidelity (WiFi) indoor locating method based on a position fingerprint identification algorithm. The Android device WiFi indoor locating method based on the position fingerprint identification algorithm aims at solving the problems that when a terminal receiver works in a city with dense building clusters or indoors, signal strength is greatly reduced due to influence by buildings, thus locating accuracy is low and location even can not be completed. Based on the foundation of the traditional position fingerprint identification algorithm, a k-nearest neighbor (KNN) matching algorithm and a coordinate computing method based on weight are adopted so that the position of a point to be measured is obtained, errors brought by signal fluctuation is effectively reduced, the position of the terminal receiver can be accurately located, and reaction is fast. Compared with a tradition indoor locating method, the Android device WiFi indoor locating method based on the position fingerprint identification algorithm can accurately locate the position of a requester in the condition of a complex environment, and is fast in reaction, efficient, accurate and especially suitable for indoor position location of an Android device terminal.
Owner:NANJING UNIV OF INFORMATION SCI & TECH

Intelligent instrument for measuring tissue thickness

The invention relates to an intelligent instrument for measuring the tissue thickness. The intelligent instrument comprises a button cell type intelligent thickness measuring clip or an external power supply type intelligent thickness measuring clip, a linear incision anastomat or a manual thickness measuring instrument or an automatic thickness measuring instrument, and a staple anvil. The button cell type intelligent thickness measuring clip comprises an outer shell, a pressing key, waterproof soft glass, an integrated circuit board and a bottom cover. The waterproof soft glass is arranged between the pressing key and the integrated circuit board and covers the surface of the pressing key. A button cell, a power module, a display module, a tissue pressure intensity measuring module, a tissue thickness measuring module, a control module and a wireless transmission module are mounted on the back face of the integrated circuit board. An eddy-current transducer and a pressure sensor are mounted on the front face of the integrated circuit board. The button cell type intelligent thickness measuring clip is matched with a wireless transmission device. The intelligent instrument for measuring the tissue thickness has the advantages that the tissue thickness can be measured in a quantitative mode, tissue thickness measurement is accurate, corresponding anastomotic staple cartridges can be selected conveniently, and the success rate of anastomotic surgery is increased.
Owner:UNIV OF SHANGHAI FOR SCI & TECH

Full-automatic biological chips detection system

The invention discloses a full automatic biochip detection system belonging to the clinical detection field of multi-marker biochips. The system adopts modular structure and comprises an automatic sample processing module, a reaction washing module, a detection module, a Tip head storage module, a reagent storage module, a biochip storage module, a sample storage module, a system base, an electric control box and a computer, the electric control box and all the modules are operated under the control of software, so as to realize the automatic sampling, the sample adding, the reaction, the washing, the detection and other processes. All the modules can work independently and can also be combined together and matched for work. The full automatic biochip detection system can overcome the shortcomings of the existing biochip detector and reduce the errors caused by human operation, and has stable and reliable detection result and good flexibility, so that the full automatic biochip detection system can not only greatly improve the detection efficiency, but also can be conductive to the accuracy of the detection result; the system has simple operation, therefore, the system is not only applicable to the scientific research and the applications of laboratories and hospitals, but also can be used for large-scale sample screening of large-scale hospitals and blood stations.
Owner:上海裕隆生物科技有限公司

Model prediction control method of voltage source type rectifier when network voltage is unbalanced

The invention belongs to the field of power converter control and relates to a model prediction control method of a voltage source type rectifier when a network voltage is unbalanced. The model prediction control method of the voltage source type rectifier when the network voltage is unbalanced comprises the steps of converting three-phase network voltage and a three-phase current into network voltage and a current which are under a two-phase static coordinate system through an abc / alpha beta coordinate, obtaining network positive sequence voltage and negative sequence voltage by carrying positive and negative sequence component separation of the network voltage under the two-phase static coordinate system, calculating reference values of active power, calculating current reference values of the rectifier under the two-phase static coordinate system, and carrying out model prediction current control and selecting an optimal on-off state. The model prediction control method of the voltage source type rectifier when the network voltage is unbalanced is capable of quickly and precisely tracing the current under the two-phase static coordinate and effectively eliminating fluctuation of direct current side voltage at the same time, power quality of the system is improved, a reliable network-connected operation of the rectifier when transient state network voltage is unbalance is achieved, and dynamics and stability of the whole system are improved.
Owner:TIANJIN UNIV

Broadband signal DOA estimation method based on co-prime array

The invention discloses a broadband signal DOA estimation method based on a co-prime array, and the method comprises the steps: S1, designing a co-prime array structure through an antenna; S2, carrying out the sampling and discrete Fourier transform of a broadband signal received by an antenna in the co-prime array, and obtaining a frequency domain signal output model; S3, calculating an autocorrelation matrix of the frequency domain signal output model, carrying out the vectorization of the frequency domain signal output model, and obtaining a new signal model; S4, carrying out the processing of the new signal model, and obtaining a spatial smooth covariance matrix of the broadband signal; Sa5, dividing a space domain grid, constructing a dictionary, carrying out the sparse representation of the spatial smooth covariance matrix through employing the dictionaries of a plurality of frequency points of the broadband signal, and forming a multi-measurement-vector sparse representation model of a plurality of dictionaries of the broadband signal; S6, achieving the arrival direction estimation of the broadband signal in a mode of solving a sparse inverse problem through the joint sparse constraint of the sparse representation coefficients of the plurality of dictionaries. The method can improve the estimation precision of the direction angle of the broadband signal under the condition of low signal to noise ratio, and reduces the direction finding error.
Owner:东北大学秦皇岛分校
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