27 results about "Guess value" patented technology

The invention provides a peak value extraction method, a thickness measurement method and equipment. The method is applied to the high-precision measurement field. The method comprises the following steps: acquiring a frame of spectral signal of a wafer; performing peak extraction on the current frame spectral signal according to a preset intensity threshold value; when a peak is extracted, determining the peak value of the peak as a main peak value; obtaining a thickness guess value; performing reverse solving according to the thickness guess value and the main peak-to-peak value by using a thickness equation to obtain a secondary peak-to-peak value; and taking the main peak value and the secondary peak value as initial guess values of a double-peak pseudo Voigt fitting equation, and fitting the current frame of spectral signal to obtain a main peak value and a secondary peak value of the current frame of spectral signal. The method successfully solves the problem that the position of the secondary peak is difficult to accurately identify due to the fact that initial guess is missing and two peaks approach, and can accurately fit the peak value of the main peak and the peak value of the secondary peak of one frame of spectral signal.

The embodiment of the invention provides a calculation method and device for boundary parameters of a supercritical fluid heat exchanger, computer equipment and a medium, and relates to the technical field of fluid mechanics and heat transfer science calculation.The method comprises the following steps that design parameters and target working conditions of the heat exchanger are obtained; calculating to obtain the single section length of each infinitesimal section; based on the initial inlet pressure guess value, according to the length of the single section and the pressure and the temperature of the infinitesimal section i, the pressure and the temperature of the infinitesimal section i + 1 are obtained through calculation, the difference value between the outlet calculation pressure and the target outlet pressure is calculated, and the difference value serves as a pressure error; if the pressure error is greater than the convergence tolerance, updating the inlet pressure guess value by adopting a numerical iteration method, and performing iteration again based on the inlet pressure guess value after iteration; otherwise, iteration is terminated, and the final inlet pressure value and the final outlet temperature value are output. According to the scheme, the calculation efficiency and accuracy of solving the inlet pressure and the outlet temperature of the supercritical fluid heat exchanger under the given target outlet pressure are improved.

The invention belongs to the technical field of engine simulation, and relates to an engine variable-dimension numerical simulation method and device, and the method comprises the steps: calculating the parameters of a contra-rotating propeller fan based on a contra-rotating propeller fan three-dimensional lift line model; determining the axial average speed of air flow at the inlet of the air inlet; determining section parameters at an inlet of the air inlet channel; calculating section parameters at an outlet of the air inlet; the air flow at the outlet of the air inlet channel is divided into two parts, one part of the air flow is distorted, the other part of the air flow is distortionless, and section parameters at the outlet of the low-pressure compressor are determined through mixing at the outlet; calculating inlet and outlet section parameters of each component according to the zero-dimensional model of each component of the engine; a balance equation is constructed according to circulation of airflow in all parts of the engine; constructing a balance equation according to the balance relation between the shaft power and the torque output by the free turbine and the power and the torque calculated by the contra-rotating propeller fan three-dimensional lift line model; the balance equation is iteratively solved to determine an initial guess value, and when iteration converges, engine performance is calculated. The method is high in simulation precision and high in speed.

A method for determining a model for an unknown function is described comprising training a neural network for selecting inputs at which to evaluate the unknown function. The training includes a plurality of iterations of sampling, from a set of Gaussian processes, at least one initial guess for the unknown function, using the neural network to select inputs and evaluating the selected inputs using the at least one initial guess, determining a value of an objective function from the evaluated selected inputs, adjusting the neural network to improve the value of the objective function and determining the model by evaluating the unknown function at a sequence of inputs given by the trained neural network and fitting the model to the evaluated inputs.

The invention provides an active and passive microwave joint inversion method and system combined with Bayesian probability inversion, and the method comprises the steps: carrying out the sampling in a priori numerical range of a to-be-inverted parameter, obtaining an initial guess value, and carrying out the simulation based on the initial guess value, and obtaining active simulation data. And performing active inversion by combining the active simulation data and the active microwave observation data, and determining an effective roughness parameter required by passive inversion based on the roughness parameter obtained by the active inversion and a pre-constructed relation function. And performing passive inversion by combining the effective roughness parameter, the initial guess value of the soil moisture and the passive microwave observation data. The active inversion result and the passive inversion result respectively comprise an optimal estimation value and an uncertainty quantitative index of the to-be-inverted parameter. And obtaining a joint inversion result by combining the active inversion result and the passive inversion result. According to the scheme, active and passive microwave observation is combined to accurately estimate the soil moisture and quantify the uncertainty in the inversion algorithm, and the soil moisture estimation precision and reliability are improved.

The invention provides an initial guess value model calculation method for steady-state simulation calculation of the overall performance of an engine, and the method comprises the steps: extracting a specific performance parameter conversion table and a thermodynamic calculation independent variable parameter table according to a simulation calculation result of a full-envelope working condition; initial guess value calculation is carried out, and a target variable value is given; assigning a low-pressure conversion rotation speed initial value and calculating a target variable to obtain a calculated target variable value; calculating the target variable deviation of the given target variable value and the calculated target variable value, judging whether the target variable deviation meets the error precision or not, and calculating an initial guess value parameter according to the low-pressure conversion rotating speed initial value if the precision requirement is met; and if the precision requirement is not met, correcting the low-pressure conversion rotating speed to obtain a corrected low-pressure conversion rotating speed value, and repeating the steps until the low-pressure conversion rotating speed value with the target variable deviation meeting the error precision is obtained. And according to the low-voltage conversion rotating speed value, interpolating to obtain a specific performance parameter conversion table, and calculating an initial guess value parameter.

A method for generating a property representation of a substance is described. The method comprises: obtaining portions of one or more nuclear magnetic resonance (NMR) data of the substance, where each NMR data portion comprises one or more NMR datasets, each NMR dataset comprising intensity data and relaxation data; processing each NMR data portion into a multi-dimensional distribution of a fitting data set by performing a plurality of fits of a function, where the function includes at least 3 fitting parameters; and generating a characteristic representation of the substance from the fitting data set. The processing includes applying at least one initial guess value. Each set of fitting data comprises data embedded with at least one subset of fitting data comprising an apparent longitudinal relaxation time (T1 *), an associated apparent transverse relaxation time (T2 *) and an associated intensity (M0), preferably said function being a function of a model representing the obtained NMR data portion.

The invention relates to a method for monitoring transient thermal boundary conditions of a membrane water wall, which comprises the following specific steps of: establishing a local linear heat transfer model by drawing up discrete points of convective heat transfer coefficients, and calculating a sensitivity coefficient; setting initial values of heat flow radiated towards the fire side and fluid temperature in the pipe; establishing a temperature prediction model; rolling optimization is adopted to obtain a thermal boundary condition compensation quantity component; a weighting coefficient is constructed based on the unexposed side heat insulation boundary condition deviation; weighting the comprehensive compensation amount and correcting a guess value to obtain a radiation heat flow and fluid temperature monitoring result; and meanwhile, discrete points are weighted to output a convective heat transfer coefficient. According to the method, the monitoring rate is remarkably increased, the hysteresis effect is reduced, the dynamic response is enhanced, nonlinear changes are accurately processed, and the engineering practicability is high.

The invention relates to a method for adjusting the arm angle of a redundant robot arm on the basis of numerical iteration, comprising the following steps: providing a key joint having a joint angle [theta]; the current arm angle is calculated through the current joint angle configuration of the key joints, and k is the number of iterations; iteratively calculating an arm angle difference between the initial guess value of the key joint and the target arm angle T by continuously adjusting the initial guess value of the key joint; the arm angle difference value is compared with a preset threshold value until the condition of-Tlt is met; ; and finally, all the joint angle configurations obtained when the conditions are met are regarded as the result obtained after the arm angle of the redundant mechanical arm is adjusted. The invention further relates to electronic equipment.

The present invention relates to the technical field of heat transfer inversion, and particularly to a transient distributed heat load alternating direction weighted fuzzy inversion method. It includes: Step 1: Establish a heat transfer model of the object to be measured, arrange N m temperature measurement points on the surface to be measured, initialize the transient distributed heat load detection problem, and give the initial guess value matrix #imgabs0# of the boundary heat load. Set the initial value of the iteration number identifier of the inversion process to n = 0; Step 2: Solve the forward heat transfer problem according to the guess value of #imgabs1# to obtain the calculated temperature value matrix #imgabs2# at the measurement points, calculate the temperature error matrix #imgabs3#, and judge whether E n satisfies the iteration stop condition. If it is satisfied, the iteration stops, and the distributed heat load is output. The method of the present invention significantly reduces the requirement for the number of measurement points, is not sensitive to the initial guess value of the boundary heat load, and has good anti-interference ability to measurement errors.

The invention discloses an out-of-band signal analysis method, electronic equipment and a medium. The out-of-band signal analysis method comprises the following steps: acquiring a known information column vector and an out-of-band signal matrix generated when a cryptographic algorithm runs for t times; performing high-order combination on the out-of-band signal points in each row in the out-of-band signal matrix to obtain a combined signal column vector, and sequencing to obtain a sequence number vector; and selecting a correlation operation and a signal simulation function of column vectors of to-be-analyzed information and known information in a cryptographic algorithm. For each candidate value of a to-be-analyzed information guessing space in a cryptographic algorithm, an analog signal column vector is calculated based on correlation operation and a signal analog function. And calculating a Pearson correlation coefficient of each analog signal column vector and a serial number vector to obtain a score of each candidate quantity, and selecting a candidate value corresponding to the score with the maximum absolute value as a guess value with analysis information. And finally analyzing to obtain target information.

The invention belongs to the technical field of engine design, and provides an engine starting process full-flow parameter and component performance determination method, which comprises the following steps: updating a historical parameter feature set according to surge margins corresponding to different historical convergence value groups; carrying out weighted proportion weight distribution on the parameters through surge margin deviation calculation, and determining initial guess values of the parameters; based on the volatility of the historical convergence values of the parameters, constructing an initial guess range of each parameter, and generating an initial guess value group; performing similarity analysis on the initial guess value groups and the historical convergence value groups with surge margins not meeting requirements, and screening the initial guess value groups; according to the method, the engine full-process test model and the Newton iteration method are combined for iterative calculation, the target initial guessing value set is selected according to the iterative calculation result and the iterative representation, the starting parameters of the engine are determined, the situation of non-physical understanding during determination of the engine parameters is prevented, and therefore the accuracy of determination of the engine full-process parameters is improved.

The present invention discloses a method for designing a high-precision fiber wet-wound cylindrical product with equal residual tension, comprising: S1, solving the temperature field distribution T (r i ); S2. Based on the known temperature field distribution, conduct experimental characterization or combine the isothermal curing model to solve the curing degree field distribution γ(r i ); S3, based on the current winding layer r i With all the implicit functions of the recursive iterative format between the winding layers outside it, the initial winding layer r1 and the outermost winding layer r n Relationship function between hoop tension; S4, solve the hoop tension F of the outermost winding layer based on the initial guess value and convergence requirements W (r n ); S5. Based on the implicit function established in S3, the hoop tension of each winding layer is solved layer by layer starting from the outermost winding layer.

The present invention provides a peak extraction method, a thickness measurement method and an apparatus. They are applied to the field of high-precision measurement. The method comprises: acquiring a frame of spectral signals of a wafer; performing peak extraction on the spectral signals of the current frame according to a preset intensity threshold; when a peak is extracted, determining the peak value of the peak as the main peak peak value; obtaining a thickness guess value; using a thickness equation to reversely solve the thickness guess value and the main peak peak value to obtain the secondary peak peak value; using the main peak peak value and the secondary peak peak value as the initial guess values of a double-peak pseudo Voigt fitting equation, fitting the spectral signals of the current frame, and obtaining the main peak peak value and the secondary peak peak value of the spectral signals of the current frame. The present invention successfully solves the problem that the initial guess is missing and the secondary peak position is difficult to accurately identify due to the proximity of two peaks, and can accurately fit the main peak peak value and the secondary peak peak value of a frame of spectral signals.

The application belongs to the technical field of engine design, and provides a method for determining full-flow process parameters and component performance of engine starting process, comprising: updating a historical parameter feature set according to a surge margin corresponding to different historical convergence value groups; performing weighted proportion weight distribution of parameters through deviation calculation of the surge margin to determine initial guess values of the parameters; constructing an initial guess range of each parameter based on volatility of the historical convergence values of the parameters, and generating an initial guess value group; performing similarity analysis on the initial guess value group through the initial guess value group and the historical convergence value group whose surge margin does not meet the requirements to screen the initial guess value group; and performing iterative calculation by combining a full-flow test model of the engine and a Newton iteration method, selecting a target initial guess value group according to an iterative calculation result and an iterative representation, and determining starting parameters of the engine; and the application prevents non-physical determination of engine parameters, thereby improving accuracy of full-flow parameter determination of the engine.

The application provides a security analysis method for a post-quantum NTRU cryptographic algorithm, which comprises the following steps: an attacker samples a public key to obtain a plurality of public key samples, a different private key g with a Hamming weight open to the public, and a fixed target private key; a modular equation is established according to each public key sample and the private key Hamming weight open-to-the-public information, and the plurality of modular equations are solved in combination with a linear technique and a preset initial value; based on a linear relationship between the equation set solution and the rest of a second polynomial except for a constant term and a linear relationship between the preset initial value and the constant term of the second polynomial, a complete value of the second polynomial is obtained; a guess value of the target private key is obtained by using a GS algorithm according to the public key sample and the complete value of the second polynomial, and a security analysis is performed on a cryptographic security system according to a relationship between the guess value and an actual value of the target private key. The application restores the private key by using the relationship between the solution of the modular equation and the private key, and breaks through the bottleneck of the prior art means.

The present invention discloses a method for constructing a knowledge and data dual-driven agent model for overall performance of an aero-engine, which relates to the field of numerical simulation technology. The construction process includes the following steps: using Latin hypercube sampling to generate an initial sample set, performing simulation iterative solutions on the sample points in the initial sample set one by one to obtain a converged sample set and train IVTX and ETDX agent models, which are connected in series to form a knowledge and data dual-driven agent model KDSM. For non-converged sample points, the KDSM model is used to predict the initial guess value of the engine performance simulation model, and simulation iterative solutions are performed to supplement the converged sample set and update the training agent model until no new converged sample points are generated, thereby obtaining the final KDSM. The agent model mentioned in the present invention is suitable for performance calculation scenarios of aero-engines of different configurations, has high prediction accuracy, strong generalization ability, can assist in improving the computational efficiency and convergence of the engine performance simulation model, and is flexible in application.

The invention belongs to the field of information security, and relates to a side channel collision analysis method based on deep learning. The method comprises the following steps: firstly, collecting waveforms leaked when a password device encrypts a random plaintext, positioning operation fragments related to keys in the waveforms, grouping the keys according to corresponding parts, and normalizing the length; waveform fragments corresponding to different partial keys are spliced end to end to form'partial waves', and corresponding plaintext fragment XOR results are used as labels to construct a training data set. And training the data set by using the convolutional neural network, and recovering the XOR relationship among partial keys by recording the tag corresponding to the highest recall rate. And repeating the above steps to obtain the XOR relationship of all the partial keys, randomly selecting a possible value of one partial key, calculating a complete key guess value, and carrying out encryption verification to determine a real key. According to the method, the features are directly extracted from the original waveform, manual sample screening or complex preprocessing is not needed, the anti-noise capability is high, and the implementation complexity of side channel analysis is remarkably reduced.

The embodiment of the invention provides a system and a method for measuring far-field and near-field images and a near-field phase, which are applied to the technical field of optical measurement, and the method comprises the following steps: a measuring device measures an object to be measured to obtain a far-field image and a near-field image of the object to be measured; the operation device processes the far-field image and the near-field image to obtain a Zernike coefficient combination, and a near-field wavefront phase optimal initial guess value is obtained based on the Zernike coefficient combination; and optimizing the near-field wavefront phase optimal initial guess value through a single-intensity iterative phase recovery algorithm, and when the single-intensity iterative phase recovery algorithm reaches an optimization index, obtaining a near-field phase value of the to-be-measured object. Far and near field images of a to-be-measured object and a to-be-measured light beam are collected at the same time, simultaneous measurement of the far and near fields and the phase of the object can be achieved under single exposure, the optimal estimation of the initial guess phase is firstly carried out, and then the iterative phase reconstruction process is carried out. And a global optimization phase with higher convergence precision and better convergence effect can be obtained.

Method and device for water-fat separation of image, computer apparatus, and computer-readable storage medium. The method includes: obtaining plurality of echo images of a target object; obtaining an initial water and fat distribution image of the target object; determining a first error phasor candidate and a second error phasor candidate, the first error phasor candidate being used to characterize an error phasor of each element corresponding to water occupying a major constituent, and the second error phasor candidate being used to characterize an error phasor of each element corresponding to fat occupying a major constituent; determining an initial-guess of error phasor corresponding to each element in the plurality of echo images among the first error phasor candidate and the second error phasor candidate based on the initial water and fat distribution image; determining an optimal error phasor based on the initial-guess of the error phasor; and acquiring a water image and a fat image of the target object from the plurality of echo images according to the optimal error phasor.

This application belongs to the field of engine simulation technology, and relates to a variable-dimension numerical simulation method and device for an engine. The method includes: calculating the parameters of a contra-rotating propeller fan based on a three-dimensional lifting line model of the contra-rotating propeller fan; determining the axial average velocity of the inlet airflow at the inlet of the intake duct; determining the cross-sectional parameters at the inlet of the intake duct; calculating the cross-sectional parameters at the outlet of the intake duct; dividing the airflow at the outlet of the intake duct into two streams, one stream is distorted and the other stream is not distorted, and mixing them at the outlet to determine the cross-sectional parameters at the outlet of the low-pressure compressor; calculating the inlet and outlet cross-sectional parameters of each component according to the zero-dimensional model of each component of the engine; constructing a balance equation according to the flow of the airflow through each component of the engine; constructing a balance equation according to the balance relationship between the shaft power and torque output by the free turbine and the power and torque calculated by the three-dimensional lifting line model of the contra-rotating propeller fan; iteratively solving the balance equation to determine the initial guess value, and when the iteration converges, calculating the engine performance. This application has high simulation accuracy and fast speed.

This invention relates to a method for real-time torso position estimation in a gun-holding posture based on gradient descent learning, belonging to the field of computer technology. The method includes: acquiring and preprocessing inertial measurement data from the firearm; fusing angular velocity and acceleration data to calculate the absolute posture of the firearm; adjusting the initial guess value for the current frame based on the continuity characteristics of human motion; setting the torso position as the variable to be optimized; calling the human skeleton and firearm model; and transforming the coordinates layer by layer through a homogeneous transformation matrix to obtain the predicted position and posture; constructing a cost function with dynamic weights; iteratively adjusting the torso position parameters using a gradient descent algorithm until the total cost falls within a preset threshold range; outputting the optimal torso position for the current frame and passing it to the next frame as the initial value, combined with motion trend correction. This method achieves accurate and real-time estimation of the torso position in a gun-holding posture, adapting to individual differences and dynamic movements of different users, and improving the synchronization and naturalness of virtual character postures and real movements.

The present invention provides an online optimal guidance method, device and electronic equipment based on secondary rectification. In this method, a first optimal control problem containing process constraints is converted into a second optimal control problem without process constraints, and the second optimal control problem is solved by a model prediction static programming method to obtain a control quantity update formula in an analytical iterative form. Based on the above control quantity update formula, the control quantity guess value is iteratively corrected to obtain the optimal guidance instruction, that is, a universal solution algorithm with an analytical iterative form is realized, which has a simple form, extremely short single iteration time, and less total time, greatly improving the solution efficiency. In addition, the first optimal control problem containing process constraints is converted into a second optimal control problem without process constraints, and then the second optimal control problem is solved by a model prediction static programming method, which improves the accuracy of the solution and has good versatility.

The invention provides a biomass combined heat and power generation water balance method, a processor, a medium and a product. The method is used for solving the technical problems that in the prior art, a water balance calculation method is low in efficiency, poor in automation degree, difficult to process complex circulation dependence and high in integration cost. The invention provides a biomass combined heat and power generation water balance method which is used for calculating water balance in a combined heat and power generation system and comprises the following steps that a set of system parameters of the combined heat and power generation system are received, and the system parameters at least comprise a main steam demand value and a value of a first loss rate associated with a target flow variable; setting an initial guess value for the target flow variable; and iteratively executing a recursive calculation process, and calculating one or more additional flow variables of the system based on the final convergence value and the system parameters to complete the water balance calculation.

According to the functional gradient concrete interface layer chloride ion diffusion coefficient inversion method and device, a functional gradient concrete chloride ion diffusion physical model is constructed, chloride ion diffusion coefficients of an external hydrophobic layer and an internal structure layer and an inversion target calibration value are initialized, and a foundation is laid for the inversion process. Then, setting an initial search space and error tolerance of an interface layer chloride ion diffusion coefficient as convergence conditions, adopting a numerical search algorithm to calculate an intermediate value of the search space as a guess value, performing erosion diffusion simulation based on the value, and judging convergence through error comparison; and if not, iteratively adjusting the search space and the guess value until an error requirement is met, and then outputting an inversion result. According to the method, accurate and efficient inversion of the diffusion coefficient of the chloride ions of the interface layer is realized, the difficulty of direct measurement is overcome, the accuracy and the reliability of determination of the diffusion coefficient of the chloride ions of the concrete interface layer are remarkably improved, and meanwhile, the experiment cost and the time overhead are reduced.

The invention relates to a ground test condition selection method for effectively simulating space electron deep charging, and the method comprises the steps: obtaining environment electron spectrum plane integral flux data of a to-be-simulated known space, inputting the data into a preset numerical model for calculation, and outputting a first charging balance maximum electric field, the plane integration flux data comprises an energy value and a corresponding flux value, the numerical model transmits the plane integration flux data through a target radiation sample medium, and a charging balance maximum electric field is calculated; acquiring simulated single-energy-beam electron energy and a plurality of corresponding flux guess values, inputting the simulated single-energy-beam electron energy and the plurality of corresponding flux guess values into the numerical model for calculation, and outputting a plurality of second charging balance maximum electric fields; a second charging balance maximum electric field closest to the first charging balance maximum electric field is indexed through the minimum difference value, and a corresponding flux guess value, namely a ground test condition selection value for effectively simulating space electron deep charging, is obtained. According to the invention, the corresponding electronic condition can be conveniently selected for the used test equipment according to the radiation sample.

The present disclosure provides a blockchain consensus method, which can be applied to the technical field of blockchain. The blockchain consensus method comprises: collecting guess information of a plurality of guessers, wherein the guess information comprises a guess value in the form of ciphertext; recording the guess information to a current block according to a preset block structure; performing a first verification process based on the guess information; performing a second verification process based on the current block; receiving a decryption key of the guesser; in the case that the first verification process and the second verification process pass, decrypting the guess value based on the decryption key; and selecting a builder of a next block from the plurality of guessers based on the decrypted guess value. The present disclosure also provides a blockchain consensus device, equipment, storage medium and program product.