193 results about "Laplace transform" patented technology

The invention discloses a detection method for an abnormal behavior of a vehicle based on spectrum clustering. The detection method comprises the following steps: obtaining a space-time track of a moving target through video tracking; removing abnormality and preprocessing, thereby obtaining a normal track; constructing an image for the track, thereby obtaining an undirected image corresponding to a track sequence; calculating similarity among tracks, thereby obtaining a similarity matrix; performing Laplace transformation on the similarity matrix, thereby obtaining a Laplace matrix; clustering the feature vector matrix of the front k maximal feature values; after performing mode learning on a motion track, obtaining motion modes of the target under a normal state; if a new track meets one of the motion modes, i.e. a normal motion mode, confirming that the traffic is normal; and if not, confirming that the vehicle abnormally runs, namely, the traffic abnormality occurs. According to the detection method, through the clustering learning for the vehicle track, the monitoring for the abnormal behavior of the vehicle is realized, the abnormal lane change is detected and the basis for automation of traffic management is supplied.

This method (1) makes scattered Laplacian conversion against the input digit images to obtain the Laplacian operator mask images (MI); (2) analyzes the converted MI on the brightness rectangle graph (RG) and classifies images according to RG character; (3) makes different space filtering against the classified different images depending on images' characters; (4) analyzes the filtered images on the obtained RG and re-classifies images according to RG character; (5) makes different brightness regulation against the re-classified different images depending on images' characters; (6) makes RG equalizing against the finally obtained images and sends to the output device. This invention (1) can filter and improve brightness via different means against the input images with different margin characters and brightness characters; (2) can effectively filter-boost and regulate brightness against more images in a larger range.

The invention discloses an SOC estimation method based on a Kalman filtering method, and belongs to the field of power battery management. The method specifically comprises the steps that 1, a power battery model is built, and a precise lithium power battery model is built mainly by determining an equivalent circuit model and based on test data; 2, power battery SOC is estimated; 3, EKF algorithmis adopted to estimate an SOC result and conduct error analysis. The method provided by the invention analyzes the working principle of a lithium ionic battery and builds a power lithium ionic batterydivalent RC equivalent model, identifies the parameter models through laplace transformation and a large number of experiment data, and adopts a matlab platform to estimate the power lithium batterycharge state. The emulation result shows that the model has the good adaptability to the complex working conditions of electric automobiles, not only can the precision of SOC estimation be improved, but also the computing quantity is small, and SOC estimation is easy to achieve.

The invention discloses a data driving face expression synthesis method based on Laplace transformation, comprising the following steps of: resolving face motion data captured after the face motion of a performer is acquired into a face expression motion and a head rigid motion; calculating the Laplace coordinates of each peak in a loaded neutral target face model; moving the face expression motion to the neutral target face model to make the neutral target face model have consistent expressions with the performer; and moving the head rigid motion to the target face model having the consistent expressions with the performer to make the final target face model have consistent face expressions and head postures with the performer. Based on a Laplace transformation technology being capable of keeping the original detail features of the model, the invention keeps the existing detail features on the target face model while realizing the moving of the face expressions, has the advantages of definite arithmetic, friendly interface and robust result and can be conveniently applied to the computer game field, the online chat field and other man-machine interaction fields.

The invention provides a voltage type control method for a novel photovoltaic grid-connected inverter and relates to a voltage type control method for the grid-connected inverter. The method aims to solve the problems that grid-connected power of the voltage control type inverter is prone to being influenced by power grid fluctuation, and direct-current bus voltage can not be stabilized. The method comprises the following steps that 1, a closed-loop feedback control method is introduced into droop control, power rings are increased, and a translation quantity delta U0 of a droop curve U0 and a translation quantity delta f0 of rated output frequency f0 of the inverter are obtained after laplace transformation of the power rings is carried out; 2, the translation quantity delta U0 of the droop curve U0 and the translation quantity delta f0 of the rated output frequency f0 of the inverter are respectively superposed to a grid-connected droop equation of the voltage type of the novel photovoltaic grid-connected inverter, the grid-connected droop equation is simplified to obtain an equation, the power rings in the equation obtained after simplification are replaced by direct-current bus voltage rings, and the novel photovoltaic grid-connected inverter can control the direct-current bus voltage. The method is mainly applied to the grid-connected inverter.

The invention belongs to the field of digital and geometric processing in computer graphics, and in particular to a 3D grid model deformation editing method based on the local rigidity principle. The invention aims at providing a deformation editing method having a fine deformation effect and a satisfactory deformation interaction speed, which is used for model reuse. The method uses grid segmentation and manifold Laplace transform to increase the local rigidity-based deformation editing speed and comprises the following steps: segmenting a 3D model into multiple parts by the grid segmentation, deforming parts which need to be deformed, and splicing the multiple parts, thereby greatly increasing the deformation speed and simultaneously avoiding distortion conditions at the joints. Besides, the manifold Laplace transform can greatly reduce the dimension of linear system of equations of corresponding deformation, thereby achieving higher result controllability.

The invention discloses a high precision rapid extraction method of the centerline of blood vessels based on a boundary distance field, which mainly solves problem that both the extraction rate of blood vessel in CAT angiogram volume data and the extraction precision of centerline are low. The method comprises the following steps of using octree for partitioning the volume data and recording all blocking partition information; using relationship between maximum value and minimum value of each blocking partition and dual threshold for extracting blood vessels and calculating the boundary distance field; using the summation of reciprocal of gradient value of blood vessel voxel in the original CTA data and laplace transformation value as the initial value of the boundary distance; establishing a maximum cost spanning tree based on the boundary distance field and extracting the trunk of the tree as initial centerline of blood vessels; using gravity method for revising the initial centerline, thus leading the points on the centerline to be at the gravity center of the cross section of blood vessel lumen, thus obtaining the final blood centerline. The extraction method has the advantages of high blood vessel extraction rate, high centerline extraction precision, and is applicable to the centerline extraction of various lumen tissues.

The invention discloses a fracture-cavity oil and gas reservoir fractured well large karst cave well testing interpretation method. The method comprises the following steps: S1, establishing a fractured well fracture-cavity oil reservoir well testing physical model; s2, establishing a karst cave and karst cave oil drainage area radial seepage dimensionless mathematical model; s3, establishing a fracture linear seepage dimensionless mathematical model and a coupling model of the fracture linear seepage dimensionless mathematical model and the radial seepage model; s4, enabling the mathematicalmodel to be subjected to Laplace transformation and solving; s5, drawing a typical well testing double logarithm curve; s6, fitting explanation of actual test well data; s7, researching the influenceof the radius of the karst cave; and S8, researching the influence of the main fracture length. The beneficial effects of the invention are that: a fracture-cavity oil and gas reservoir fractured welllarge karst cave well test interpretation method is established; a large-scale fracturing crack seepage channel is formed by considering shaft fracturing; the pressure crack is communicated with thelarge karst cave; a large-scale karst cave is regarded as a potential body, a double-medium karst cave oil drainage area is formed with the karst cave as the center, a mathematical model is established through radial seepage of the karst cave oil drainage area and linear flow coupling of a fracturing fracture, Laplace transformation solving is conducted on the model, a typical well testing double-logarithm curve is drawn, and parameter sensitivity analysis is conducted on the model.

Embodiments of the invention provide an image processing method, processing apparatus and processing device. Image conversion is realized in combination with Laplace transformation and image style features by utilizing a generating neural network, so that an output image after conversion has diversity and is kept consistent with an input image; a system is simple; and training is easy. The image processing method comprises the steps of obtaining a first image comprising N channels, wherein N is a positive integer greater than or equal to 1; and performing image conversion processing on the first image by utilizing the generating neural network to output the output image after conversion, wherein the generating neural network is obtained by training based on a Laplace transformation function.

The present invention discloses an convergence RLC circuit model-based method for analyzing subsynchronous resonance in a power system. The method comprises the following steps of: establishing a power plant model and a series compensated transmission line system model so as to acquire a non-linear differential equation model of each subsystem; generating a state equation model according to a parameter under a particular working condition and the non-linear differential equation model; generating an algebraic equation model according to the Laplace transform and the state equation model; acquiring a final equivalent resistance model so as to acquire a series resonance point; aggregating the final equivalent resistance model into an equivalent second order RLC electric circuit model according to the series resonance point; and quantifying SSR analysis. According to the analysis method provided by an embodiment of the present invention, the final equivalent resistance model is aggregated into the equivalent second order RLC electric circuit model, so that the SSR analysis is quantified, thus implementing the accurate quantification evaluation of SSR, reducing analysis errors and improving analysis accuracy.

The invention discloses a longitudinal-vibration analysis method of a pile foundation in a radial-heterogeneity and longitudinal-stratification soil body. For the soil body around a pile, a three-dimensional axisymmetric model is adopted, vertical wave effect is considered, and the soil body around the pile is divided into any number of layer sections along a longitudinal direction; each layer section of the soil body around the pile is divided into an internal disturbance zone and an external zone along a radial direction; the internal disturbance zone is divided into any number of circle layers along the radial direction, and each circle layer of the soil body is respectively a homogeneous, isotropic, linear and viscoelastic body; a soil body in the external zone infinitely extends alongthe radial direction; for soil body material damping, viscous damping is adopted to establish a longitudinal-vibration equation of the soil body around the pile and a pile body under a three-dimensional axisymmetric condition according to basic theory of elastic dynamics; and Laplace transform and a method of separation of variables are used to solve the vibration equation to obtain a time-domainvelocity response function of any excitation force acting on a pile top.

The invention relates to an image enhancement method based on combination of sharpening strength and gray scale distribution, and the method comprises the following steps: firstly performing Laplace transform on brightness information of a color image, and performing statistics on mutation degree, namely the sharpening strength of each pixel point in the mage; secondly performing quantification on the sharpening strength, integrating quantified values into a gray scale histogram of a brightness component of the image for amending the quantified values, and performing gray scale contrast stretching; and finally completing enhancement of the color image. In the method, the contract stretching is performed on the whole image while the detailed information of the image is enhanced, thereby getting the better image enhancement effect.

A feedforward signal of a drum water level control system of a drum boiler is used for overcoming the adverse impact of false water level on water level control. The feedforward signal fL(s) is specifically formed as follow, wherein s is complex variable of Laplace transform and is equivalent to differential operator in time domain, fL(s) is Laplace transform of feedforward signal fL, pf(s) is Laplace transform of furnace pressure pf, pd(s) is Laplace transform of drum pressure pd, Cb is boiler heat storage coefficient, Kf is furnace pressure gain coefficient and T is furnace pressure filter coefficient. The invention is simple and convenient in implementation, low in cost, good in control effect and high in reliability, can effectively overcome the adverse impact of false water level and greatly improve the control quality.

The invention discloses a design method for rock biaxial compression blasting. The method includes the following steps: step S1, obtaining the basic mechanical parameters of rock; step S2, performingtheoretical modeling on the dynamic mechanical response of blast holes during the propagation of cylindrical surface blast waves under a biaxial compression condition; step S3, utilizing a classic Kirsch method to calculate the static stress distribution at the peripheries of the blast holes when the rock is subjected to uniformly distributed horizontal confining pressure Px and vertical confiningpressure Py under plane strain and plane stress conditions; and step S4, adopting a Laplace transform method to solve the dynamic response of the blast holes when the inner walls of the blast holes are subjected to the action of explosion loading under the plane strain condition; Thus, the problems of lack of theoretical basis and guidance of experimental parameter design, large workloads and easy destruction on rock samples by confining pressure loading modes of previous testing methods can be solved.

The invention discloses a graph-model-based single image super-resolution output method. The graph-model-based single image super-resolution output method includes the following steps: 1) according toa preset sampling rate, performing interpolation on an input single image by means of a bicubic interpolation method, obtaining a low resolution image, segmenting the obtained low resolution image into m*n image blocks, calculating the Euclidean distance of the pixel value of each image block, and according to the Euclidean distance, determining a set of similar blocks, wherein each image block in the segmented low resolution image has one set of similar blocks; 2) constructing a graph model for the set of similar blocks; 3) performing Laplace transformation on the obtained two dimensional matrix to obtain a Laplace matrix, and then carrying out restoration of the image blocks through solution by means of an optimization formula; and 4) averaging and reconstructing the restored image block set, and finally obtaining a super-resolution image. The graph-model-based single image super-resolution output method can overcome the defect that a machine learning method needs mass image data totrain a model, thus being more suitable for image super resolution.

The invention discloses a non-uniform shale oil reservoir staged fracturing horizontal well productivity calculation method. The method comprises the following steps that S1, a shale reservoir is divided into a matrix transformation area and a hydraulic fracture area, and a double-area linear flow physical model is established; S2, establishing a non-uniform permeability field based on position change; S3, establishing seepage mathematical models of the matrix transformation area and the hydraulic fracture area; S4, introducing dimensionless quantity, and simplifying the seepage mathematical model by adopting Laplace transformation; S5, solving pressure solutions of the matrix transformation area and the hydraulic fracture area; and according to the relation between the oil well constant production pressure solution and the oil well constant pressure production solution under the Laplace space, the Stehfest numerical inversion method and dimensionless definition conversion are combined, and the non-uniform shale oil reservoir staged fracturing horizontal well yield is obtained. According to the method, the heterogeneity of the oil reservoir flowing area is considered, an analyticalsolution is given, the actual situation is better met, and engineering application is easier.

A Laplace transform system comprising a processor, a measured time domain wavefield, a velocity model, and Laplace damping constants, wherein the processor is programmed to calculate a substantially about zero frequency component of a Fourier transform of a time domain damped wavefield, wherein the time domain damped wavefield is damped by the Laplace damping constants to obtain long wavelength velocity information for deeper subsurface regions.

The invention provides a photovoltaic system MPPT fuzzy active-disturbance-rejection control method, controller and system. A model of a photovoltaic power supply system based on a Boost convertor isestablished; disturbance is added around model stable working points, and a small signal dynamic equation of the Booster convertor is obtained; Laplace transformation is conducted on the small signaldynamic equation of the Booster convertor, and thus a transfer function of duty ratio disturbance quantity and photovoltaic battery output voltage disturbance quantity can be obtained; an output voltage is referred to design a first-order differential tracking device, an expanded state observer and an error state feedback control rate; and fuzzy control is used in the active-disturbance-rejection controller, the fuzzy control and the active-disturbance-rejection controller are combined to be applied to MPPT, through a fuzzy active-disturbance-rejection control strategy, the process of adjusting the parameter settings of the active-disturbance-rejection controller is simplified, adaptivity of the controller parameters is achieved, thus the MPPT control strategy has good disturbance rejection, dynamic response, stability and robustness, and the complex process of parameter setting is avoided.

The invention discloses a second-order ideal model of a vehicle Inerter-Spring-Damper (ISD) suspension based on Acceleration-Driven-Damper (ADD) positive real network optimization. The second-order ideal model is formed by series and parallel connection of components such as springs, dampers and inerters. The ideal model is obtained through Laplace transform of an ISD suspension kinematics equation, second-order positive real network impedance constraint and ADD control, artificial fish swarm optimization solution and a passive network synthesis theory. The novel suspension ideal model and research idea are provided, relatively ideal comprehensive performance can be obtained by the ISD suspension in each frequency domain section, and a foundation is laid for the active control of the ISD suspension.

The invention provides a voice recognition device and a system thereof, wherein the device comprises a noise reduction suppression module, which is used for carrying out noise suppression on user voice obtained in real time or other stored voice to obtain noise-reduced voice information; the noise reduction suppression module carries out noise suppression by adopting at least one of a spectrum removal method and / or a learning homologue method and / or a noise reduction automatic encoder; a conversion module, which is used for carrying out Laplace conversion on the sound information to obtain frequency spectrum information; a feature extraction module, which is used for obtaining a Meyer spectrum reciprocal and a linear cepstrum coefficient of the sound information to obtain a feature vectordescribing the sound information; a model training module, which is used for constructing a voice recognition model by using training samples, wherein the training of the voice recognition model utilizes the frequency spectrum information obtained by the conversion module and the characteristic vector extracted by the characteristic extraction module, inputting the characteristic vector obtained by the Meyer spectrum reciprocal and the linear cepstrum coefficient into an SVM layer; a sound recognition module, which is used for recognizing the sound information by using the trained sound recognition module.

The invention discloses a carbon fiber multi-layer angle connection loom yarn tension control method. The method comprises the steps that based on the flexibility and uncertainty of a carbon fiber weaving material and the time-variation characteristic and nonlinearity characteristic of the technological process, according to the let-off processes of displacement, angle, elastic deformation and pressurization, laplace transformation is carried out at the position of a back rest on the basis of dynamic characteristics, the a mason formula is applied to obtain a transfer function characteristic equation of a high-order differential equation; according to the linear speed, stability and other distribution parameter system characteristics of the textile technological process, a nonlinear system analysis method is utilized for building some mathematical models. A multivariable feedforward and tension feedback combined control structure and an iterative intelligent control algorithm are adopted for warp tension, a non-ideal control signal is corrected through the deviation of the practical output and expected output of a system, and the yarn tension is kept constant by controlling the rotating speed of a servo motor and a tension adjusting device.

The invention provides a servo and contour error online cooperative compensation method, belongs to the technical field of precise high-effectiveness smart numerical control processing, and relates to a servo error compensation method and a contour error compensation method based on high-precision contour error vector estimation in the numerical control parameter curve interpolation processing process. The method comprises steps of firstly calculating a servo error compensation value which enables a system theoretical output value to be equal to an expected output value based on laplace's transformation and inverse transformation; then, bringing forward a reference point regeneration first order approximation algorithm, which is used for precisely estimating a contour error vector; and finally according to the contour error vector estimation value and based on introduction of compensation gains, achieving contour error real-time compensation. The invention improves single shaft tracking precision and multi-shaft linkage contour precision of a numerical control feeding system at the same time, achieves effective inhibition of single shaft movement servo errors, and ensures synchronous improvement of the single shaft tracking precision and the multi-shaft linkage contour precision of a numerical control system.

A system for use in quantum encryption, decryption, and encoding, comprises a photon production sub-system, a transmission channel sub-system, and a data encoding sub-system. The transmission channel sub-system makes use of the combination of quantum state vectors derived from the photon production sub-system for optical communication with quantum key. The data encoding sub-system includes a plurality of dynamic data encoding modules, and at least one of these modules performs to express the quantum key with bases in an individual Hilbert Space, and divides the transmitting data into segments for data encoding with the individual space bases. In addition to the use in data encoding, the sub-system can also improve the signal-decays and the eavesdropping issue within the quantum channel via implementation of the Laplace Transformation unit and the Quantum Fourier Transformation unit.

The invention discloses a PMSM (permanent magnet synchronous motor) rotor position and rotating speed estimation method based on a decoupling adaptive observer, and the method comprises the steps: taking a decoupling voltage vector as an input quantity, and building a decoupling PMSM mathematic model; taking the mathematic model as a reference model, and constructing an adjustable model based on the estimated rotor position and rotating speed; carrying out the subtraction of the reference model and the mathematic model, carrying out Laplace transformation, obtaining the quantitative relation among a current estimation error, a rotor position estimation error and a rotating speed estimation error, and determining the adaptive rate of the observer according to the above. The built decoupling adaptive observer can achieve the decoupling of the rotor position and the rotating speed estimation, and the estimated rotor position and rotating speed are corrected at the same time through the current estimation error. The method belongs to a parallel estimation structure, so the method is higher in dynamic response performances.

The invention discloses a surface shape registration method based on a ricci flow. The method comprises the steps that a closing surface is parameterized according to an improved ricci flow method firstly; the closing surface is mapped to a spherical surface; in addition, an energy variation condition of the ricci flow is recorded in a computation process; a multi-scale ricci flow energy matrix is established, and then subjected to laplace transformation; a laplace matrix of the multi-scale ricci flow energy matrix is computed; multi-scale feature points based on ricci energy are extracted according to the laplace matrix; furthermore, global ricci flow energy are combined with local feature points; a registration equation is established; a plurality of various surfaces are subjected to registration on a spherical surface domain by utilizing the registration equation; registration results are mapped to the original surface finally; and the whole registration process is accomplished. With the adoption of the method, the computation time in a parameterization process is shortened; global attributes are effectively combined with local features; and the accuracy of the registration is improved.

This is a kind of founding method for the two grade adding load double floor groundwork planar solidifying body. It's a kind of solidifying method directly used in the field of civil engineering. Its building method is as follows: build equivalent relation of grading adding load double floor groundwork planar solidification; input road embankment designed parameters, that is embankment top, fundus width, embankment height and average bearing weight; input composite groundwork parameters; input down lying floor groundwork parameters; input solidifying control parameters, that is total solidifying time, the calculating point number of solidifying time, the solidifying time value, the solidifying depth point number and the solidifying depth value; have numerical value calculation,; have Laplace transform on the double floor groundwork solidifying problem equation to do value calculation, then have Laplace counter transform to the image function of effective stress by the use of Stevest inversion formula, calculate to get the sedimentation distortion displacement and hole hydraulic pressure value of every depth point, forecast the after-building sedimentation according to the sedimentation distortion of the down lying floor; output the solidifying sedimentation calculating results of every depth point.

The invention discloses a method for modeling a large-scale photovoltaic grid-connected system with multiple parallel-connected grid-connected inverters through considering a dead zone. The method comprises the following steps: S1, during modeling, considering the influence of the dead zone, and obtaining a relation between each voltage component of dead zone distortion voltages of the inverters and ideal fundamental wave voltages output by the inverters; S2, through Laplace transformation, adding fundamental waves of the dead zone distortion voltages and introduced low-subharmonic components into an impedance model of the grid-connected system so as to obtain an impedance model of a single-inverter grid-connected system; and S3, according to the impedance model of the single-inverter grid-connected system, obtaining a Norton equivalent circuit of the large-scale photovoltaic grid-connected system with the multiple parallel-connected grid-connected inverters and obtaining output impedance at a photovoltaic power station side. According to the invention, a reference is provided for analysis of stability of the large-scale photovoltaic grid-connected system during power grid impedance change and analysis and treatment of electric energy quality.

Method for fast conversion of asphalt mixture material parameters by Laplace transformation. The invention belongs to the field of asphalt mixture material parameter conversion, and aims to solve theproblems that the precision of an existing method for calculating a relaxation modulus of an asphalt mixture is difficult to ensure and the algorithm is complex. The parameter conversion method comprises: 1, calculating creep compliance of an asphalt mixture, and adopting a Prony series model to fit the creep compliance of the asphalt mixture; 2, applying Laplace positive transformation to the Prony series model of the asphalt mixture, and calculating a Laplace domain relaxation modulus through a conversion relation (as described in the specification) between relaxation modulus and creep compliance in a viscoelastic material; and 3, applying Laplace inverse transformation by adopting an FT method to solve a relaxation modulus time domain solution of the asphalt mixture. According to the method provided by the invention, a relaxation modulus value can be quickly and accurately obtained, and a relaxation modulus at any time can be solved through Laplace integral inverse transformation.

The invention discloses a control method for compensating electromagnetic torque to realize quick and smooth tracking of the maximum wind energy of a wind turbine. By virtue of compensation of the electromagnetic torque, the rotor response speed is controlled, so that the quick and smooth tracking of the maximum wind energy of the wind turbine is realized. The design process of a torque compensating link comprises the following steps: firstly, as in a steady state, the electromagnetic torque needs to correspond to a value of a best torque curve under the current speed, initially determining the functional form Kc*(Tm-Te<*>) of the electromagnetic torque compensating link, then applying a small-signal analysis method and Laplace to transform and obtain the functional form, thereby determining the functional relationship of rotor response speed and wind speed; and then according to the relationship of the rotor response speed and the wind speed, designing the mathematical expression of a compensation factor Kc in the electromagnetic torque compensating link, so as to eliminate the influence of the wind speed Vm on the rotor response speed; and finally, on the basis of eliminating the influence of the wind speed on the rotor response speed, determining the value of a parameter in the compensation factor mathematical expression by virtue of emulation, so that the rotor response speed reaches an appropriate value.