304 results about "Parameter distribution" patented technology

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.

A system and method for computer-aided engineering analysis using direct mesh manipulation of a mesh model is provided. The system includes a computer system having a memory, a processor, a user input device and a display device. The method includes the steps of selecting a geometric model in a computer-aided design (CAD) format, converting the CAD model into a mesh model and evaluating the mesh model using a computer-aided engineering (CAE) analysis. The method also includes the steps of modifying a surface of the mesh model by varying a predetermined parameter using direct surface manipulation (DSM), updating the mesh model and using the updated mesh model in further CAE analysis. Three techniques are provided for modifying a surface feature, including using a Dirichlet parameter distribution to determine the displacement of the surface feature; modeling the surface feature as an elastic sheet to determine deformation; and enclosing the feature within a lattice structure and using lattice deformation to determine surface deformation.

A system and method of dynamically localizing a measurement of parameter characterizing tissue sample with waves produced by spectrometric system at multiple wavelengths and detected at a fixed location of the detector of the system. The parameter is calculated based on impulse response of the sample, reference data representing characteristics of material components of the sample, and path lengths through the sample corresponding to different wavelengths. Dynamic localization is effectuated by considering different portions of a curve representing the determined parameter, and provides for the formation of a spatial map of distribution of the parameter across the sample. Additional measurement of impulse response at multiple detectors facilitates determination of change of the measured parameter across the sample as a function of time.

A system and method for computer-aided engineering analysis using direct mesh manipulation of a mesh model is provided. The system includes a computer system having a memory, a processor, a user input device and a display device. The method includes the steps of selecting a geometric model in a computer-aided design (CAD) format, converting the CAD model into a mesh model and evaluating the mesh model using a computer-aided engineering (CAE) analysis. The method also includes the steps of modifying a surface of the mesh model by varying a predetermined parameter using direct surface manipulation (DSM), updating the mesh model and using the updated mesh model in further CAE analysis. Three techniques are provided for modifying a surface feature, including using a Dirichlet parameter distribution to determine the displacement of the surface feature; modeling the surface feature as an elastic sheet to determine deformation; and enclosing the feature within a lattice structure and using lattice deformation to determine surface deformation.

The invention discloses a probability method of an electronic product service life model based on a Bayesian theory. The probability method comprises four steps of: step 1, determining a main failure mechanism and a physical model; step 2, determining the source and a characterization method of each dispersibility in the main failure mechanism; step 3, determining the service life distribution obeyed by the main failure mechanism; and step 4, updating the parameter distribution according to the Bayesian theory, and obtaining the numerical solution of a probability service life model by combining a failure physical model and utilizing a Monte Carlo sampling method. The method disclosed by the invention is used for calculating the failure probability of a highly-reliable and long-service-life electronic product based on a stress damage model; and by analyzing diepersibility and a description method of factors such as the attribute, the size and the stress of each material causing the electronic product failure and considering the dispersibility factors on the basis of the traditional failure physical model, the probability of the failure physical model is realized, and a new approach is provided for describing the failure more accurately and forecasting the product storage life.

A profile map of parameter values in a region is determined based on average values along linear paths through the region. In one example, a temperature map of a region of a gas turbine engine is created based on time-of-flight measurements from acoustic transceiver pairs arranged circumferentially around the region. A speed of sound for each transceiver pair is determined based on the time-of-flight measurements. An average temperature along each path is estimated from the time of flight, and the profile map is computed from the average temperatures. The profile map may be computed using a polynomial approximation technique, a grid optimization technique or a basis function technique.

A system and method for providing optimization of a financial portfolio using a parametric leptokurtic distribution is presented. One or more risk factors associated with a plurality of financial assets maintained in a portfolio and applicable over at least one time horizon are provided. A subordinated parametric distribution model having leptokurtic behaviors is specified for the risk factors with a measurement of risk expressed as a function of expected tail loss for a significance level or quantile. The subordinated distribution model is applied at each such time horizon to determine a distribution of the risk factors for the financial assets. Portfolio weights providing a substantially maximum risk adjusted return for the portfolio are determined.

A system and method for specificity-based multimodality three-dimensional optical tomography imaging comprises steps of: optical imaging to obtain a light intensity of body surface optical signal of an imaging target; CT imaging to obtain structure volume data; establishing an equation representing a linear relationship between the distribution of the obtained light intensity of body surface optical signal of the imaging target, the obtained CT discrete mesh data and the distribution of unknown internal self-luminescence light sources; establishing a dynamic sparse regularization target function in every iteration for the equation; and reconstructing a tomography image. The present invention well considers the optical specificity of tissue, in which there is a non-uniform optical characteristic parameter distribution within the same tissue when finite element modeling is used, which is closer to the real situation, so that an accurate imaging effect is achieved.

The invention discloses a method for quantitatively recognizing an oil deposit dominant flow channel adopting a zero dimension comparison plate. The method includes the following steps: firstly collecting geological parameters and fluid parameters of an oil field to draw a parameter distribution cumulative frequency curve and obtain corresponding distribution intervals and distribution characteristics; according to the parameter distribution characteristics of a target oil deposit, calculating a water drive development dynamic through the combination with corresponding figure conceptual models; finding out the water absorption parameters and liquid production parameters of layers with the maximum and minimum water absorption capability and liquid production capability for zero dimension treatment through the statistics of conceptual model results; drawing a zero dimension parameter distribution plate, and dividing a dominant channel developing space through the cluster analysis method and obtaining a quantitative plate; and performing the single-well zero dimension parameter treatment, and judging the developing condition of the dominant flow channel through the zero dimension comparison plate. According to the invention, the analysis data source is wide, the cost is low, the spend time is short, personnel at an ore yard can use the method conveniently, the individual judgment on each injection and production well in the oil deposit is realized, the quantitative judging standard is given, and the specific developing layer of the dominant flow channel can be confirmed.

The invention discloses a well pattern rebuilding method and device for the water-injection development of an old oil field. The method comprises the steps that various factors for influencing well pattern arrangement are taken into account, and mesh parameter data in geologic modeling and numerical reservoir simulation computed results are stacked and computed to obtain parameter distribution of series of strata; the mesh comprehensive evaluation index of the series of strata is computed, and a comprehensive evaluation index distribution diagram of the series of strata is obtained; well patterns are arranged on the comprehensive evaluation index distribution diagram of the series of strata according to different well pattern types, well positions are adjusted according to the characteristics of the comprehensive evaluation index distribution diagram, and initial well pattern arrangement schemes are obtained; for each initial well pattern arrangement scheme, old wells are searched for around the signal wells, and whether the oil wells are utilized is determined according to well conditions and an injection-production relationship; each well pattern arrangement scheme formed finally is evaluated, and the relatively-optimal well pattern arrangement scheme is selected according to the well pattern control degree and a recovery efficiency index. The well pattern rebuilding method and device for the water-injection development of the old oil field can meet the well pattern arrangement requirements of old oil fields in the secondary development process.

A method for processing a substrate, such as a semiconductor wafer, includes performing a measurement to determine a substrate parameter distribution to be compensated, determining an adjusted implant parameter distribution to compensate for the substrate parameter distribution, and implanting the substrate in accordance with the adjusted implant parameter distribution. The substrate parameter distribution to be compensated may result from another process step and may be uniform or non-uniform. In another embodiment, an implant parameter may be varied as a function of implant position on the substrate to achieve different substrate parameter values in different areas of the substrate.

The invention discloses a noise parameter measurement uncertainty evaluation method based on a multi-chip module (MCM) and belongs to the field of measurement metering. The method includes utilizing an equivalent noise parameter equation as a measurement model for noise parameter measurement uncertainty evaluation, utilizing physical quantity measured from a measurement platform to calculate the function equation and obtain data reflecting equivalent noise parameter distribution condition, leading out noise parameter and noise parameter distribution from the equivalent noise parameter and finally obtaining uncertainty for noise parameter measurement. The method effectively combines digital random simulation, physical measurement boundary criterion and least square method optimization criterion, and enables noise parameter uncertainty evaluation to be effective, real and reliable. The method satisfies the national standard, and is flexible in simulation mode, multiple in applicable measurement system variety and strong in universality.

The invention relates to a denitration device potential assessment and prediction method based on field performance tests. The concentration of NO at an actually running inlet, the concentration of NO at an actually running outlet and the ammonia escape concentration at the actually running outlet of a smoke denitration device are measured, then, the denitration efficiency and the molar ratio of NH3 / NO at the inlet of the denitration device are calculated, the potential of the denitration device is calculated according to the denitration efficiency and the molar ratio of NH3 / NO, and then a degradation time function of the potential of the denitration device is obtained through regression. According to the denitration device potential assessment and prediction method based on field performance tests, a denitration reactor in the field directly serves a performance detection object, the actual smoke parameter distribution of the denitration device and the running conditions of the denitration device in the state of being blocked by catalysts can be reflected from the macroscopical point, and assessment and prediction are more accurate. The overall inlet and outlet smoke parameters of the denitration device are tested through the field performance tests and used for assessing the macro service life of the denitration device, and therefore test data from traditional field performance tests are further applied. Shutdown is not needed for the field performance tests, and thus the influences on the running of a generator set are reduced.

The invention discloses a comprehensive underground test method for deformation and damage of terranes of mining top plate and mining bottom plate of a coal bed, comprising the following steps of: (1) constructing a comprehensive test system; (2) utilizing a network parallel electrical method to synchronously collect test electrode supply current and potential signal in boreholes of the top plate and the bottom plate, thus obtaining the electric field distribution situation between the top plate and the bottom plate of the working face in a control area; (3) respectively extracting the electric field parameter distribution situation of rock masses, the seismic velocity distribution situation and the displacement variation of terranes at different places in the borehole in the control area according to the collected data characteristics of various geophysical fields; (4) dynamically obtaining the parameter change of the geophysical fields in a detected area at different time along with the advancing state of the working face; and (5) completing the installation and sealing of facilities in the tested borehole before the stoping of the coal face. The method precisely masters the damage situation of the rock masses, thus not only delimitating the deformation and damage distribution situation of rock masses in the control area, but also precisely determining the water-guiding fissure zone height of the covered rock masses of the top plate and the damage depth value of the bottom plate.

The invention relates to a cognition accuracy analysis method for a personality trait value test. The method is characterized by comprising the steps of building at least one cognitive dimension of sample model on the basis of at least one statistic model; stimulating a to-be-tested person in a manner of presenting a scene comprising at least one piece of stimulation information; monitoring or collecting physiological information and / or feedback information of the to-be-tested person to carry out statistics and form at least one cognitive dimension of cognition parameter; and comparing the cognition parameter with cognition parameter distribution of the sample model so as to obtain the accuracy of the cognitive dimension. The analysis method overcomes the defects of single test material and environment influence errors, improves the quality of the personality trait value test, and can obtain an accurate personality trait value.

A method and apparatus for monitoring a plurality of semiconductor devices is disclosed. At least one array of 2n semiconductor circuits is provided. A clock ring oscillator provides a clock signal. The clock signal drives a frequency divider followed by an n-stage binary counter. The outputs from the counter's stages drive an n-input decoder which sequentially addresses each semiconductor circuit. An output signal from each semiconductor circuit is measured and read out over a common bus, where a distribution of the output signals is a measure of a distribution of a parameter of interest.

The invention provides an image reconstruction method based on multi-viewing-angle multi-spectral tomography. The image reconstruction method comprises the steps of: utilizing a plurality of pieces of absorption spectrum information corresponding to gas molecules so that laser which can cover an absorption spectrum range passes through a measured gas region from a plurality of viewing angles, and acquiring corresponding projection measurement data; constructing an equation set for solving measured gas parameter values according to a coefficient matrix and projection measurement data; converting a problem of solving a non-homogeneous linear equation set into a problem of solving nonlinear optimization; and solving the nonlinear optimization problem by adopting an iteration method to obtain parameter distribution, and further acquiring a gas parameter distribution image. Compared with a single-spectrum imaging system, the image reconstruction method has the effects of being capable of significantly improving the precision of parameter distribution image reconstruction, being high in resolution and good in reliability, and having wide application prospect.

The invention provides an account opening method and system based on an eUICC (Embedded Universal Integrated Circuit Card). The method comprises the steps of receiving an account opening request carrying a subscriber number and an eUICC identifier by an eUICC remote management platform; distributing an ICCID for the account opening request in an ICCID number section; sending an authentication parameter distribution request carrying the ICCID and the subscriber number to an operator management platform and receiving an authentication parameter fed back by the operator management platform, wherein the authentication parameter comprises an IMSI (International Mobile Subscriber Identification Number) and an authentication key serial number; generating a complete configuration file based on the authentication parameter and an initial configuration file corresponding to an eUICC identifier; sending account opening parameters required for account opening at a network side to the operator management platform so as to enable the operator management platform to generate an account opening order; and after receiving an order generation success indication sent by the operator management platform, downloading the complete configuration file to the eUICC and activating the complete configuration file. By real-time distribution of a number resource, the utilization rate of the number resource is increased.

The invention relates to the field of man-machine emotion interaction, intelligent robots and the like, and aims to provide a corresponding solution way for researching generation and control problemsof natural facial expressions of a humanoid robot by taking a three-dimensional face model oriented to a virtual or entity humanoid robot as a carrier. Therefore, the conditional generative adversarial network three-dimensional facial expression motion unit synthesis method comprises the following steps: (1) establishing effective mapping between facial motion unit labels with different intensities and different combinations and facial expression parameter distribution; (2) carrying out game optimization on the generation result of the expression motion parameter generation model; And (3) applying the generated target expression parameters to the three-dimensional face model facing the humanoid robot to realize generation and control of the three-dimensional face complex expression of thehumanoid robot. The method is mainly applied to intelligent robot design and manufacturing occasions.

The invention provides an AVO inversion hydrocarbon detection method based on petrographic constraints, and pertains to the field of fluid detection. The method comprises the following steps: (1) the elastic parameter distribution characteristic statistics is performed; (2) the Monte Carlo emulation stochastic simulation is performed; (3) pre-stack channel set pretreatment is performed on a pre-stack seismic channel set to obtain a pre-treated pre-stack channel set; (4) an incident angle channel set is formed; (5) and the optimal AVO inversion restrained by prior information is realized. The method of the invention has advantages of higher accuracy and larger application range than a conventional AVO equation, so the method of the invention is more suitable for the fluid property detection in large incident angle and strong reflecting interface conditions, and the fluid prediction accuracy can be improved.

Disclosed is a reservoir crack modeling method and system. The method comprises steps of: on the basis of a stratum fault model, a stratum tectonic model, and core and / or logging information, dividing multiple layers of single sand body and establishing a 3D distribution model for each layer of single sand body; on the basis of a stratum fracture characteristic and a crack parameter distribution characteristic, acquiring each group of crack planar density distribution intensity of each layer of single sand body; on the basis of the 3D distribution model of each layer of single sand body and the each group of crack planar density distribution intensity of each layer of single sand body and in combination with a crack control factor, establishing each group of crack 3D density model of each layer of single sand body; and on the basis of the crack parameter distribution characteristic, the crack control factor, and the each group of crack 3D density model of each layer of single sand body, acquiring each group of crack 3D discrete model of each layer of single sand body so as to acquire all groups of crack 3D network models of all single sand bodies.

A modeling system for modeling integrated circuits includes a process variation generator for generating a first statistic distribution of a process parameter; a performance parameter distribution generator for generating a second distribution of a performance parameter; a stress generator for generating a third statistic distribution of the performance parameter under a stress condition; and a circuit simulator for receiving data randomly generated based on the first, the second and the third distributions and for generating a statistic distribution of a target performance parameter.

The invention discloses a method, device and system for acquiring the fractional flow reserve, and a computer storage medium. The method for acquiring the fractional flow reserve comprises: a step S1,acquiring image data and physiological parameters related to a coronary artery and a heart, and constructing a corresponding three-dimensional model by processing the image data; a step S2, solving ahemodynamic control equation according to the three-dimensional model to obtain a hemodynamic parameter distribution of the coronary artery in a region expressed by the three-dimensional model, wherein the hemodynamic parameter of a boundary portion of the three-dimensional model is obtained by using a lumped model and a genetic algorithm; a step S3, calculating the fractional flow reserve of theangiostenosis site according to the relevant parameter obtained in step S2; and step S4, generating a corresponding fractional flow reserve report on the basis of the result of step S3. The method can accurately calculate and acquire of the fractional flow reserve FFR of the coronary artery of a patient.

The invention aims at providing a two-phase flow interface parameter distribution characteristic experiment device under swinging condition, which comprises a water storage box, a mixing chamber, an experiment section, an air-water separation device, an air compressor, an air storage tank, a swing table, photoelectric converter and a light source, wherein the mixing chamber and the steam-water separation device are respectively installed at both ends of the experiment section, the water storage box is connected with the air-water separation device and the mixing chamber respectively, the air storage tank and the air compressor are connected in parallel and connected with the mixing chamber, and the mixing chamber is also connected with the swing table; and an optical fiber probe and a pressure sensor are installed on the experiment section, the photoelectric converter faces to the optical fiber probe, and the light source faces to the photoelectric converter. The invention further develops and perfects an experiment device for researching the air-liquid two-phase local parameter distribution and transportation mechanism in a large channel under the steady-state condition, foaming is uniform in the experiment, a stable bubble flow can be obtained, and the outlet pressure of the air-water separation device maintains constant by means of gravity separation.

The invention provides a wave field separating method and device. The method comprises the steps that variation function values of anisotropy parameter distribution of initial models are calculated and fitted to obtain variation functions of the initial models; the variation functions and a reference point search strategy are utilized for selecting N reference models from the initial models; a vector elastic wave field of a spatial domain is converted into a wave number domain; following operation is carried out on each reference model selected from the N reference models, pseudo differential operators are truncated, the wave field separation is carried out on the wave number domain, the vertical and horizontal wave field is reversely converted into the spatial domain, and the wave field separation results of the reference models are obtained; the variation functions are utilized for calculating the weight coefficients of all the reference models relative to the initial models; weighting interpolation processing is carried out on the wave field separation results of all the reference models in the spatial domain to obtain the wave field separation results of the initial models. According to the method, on the basis of ensuring the accuracy of the wave field separation results, the effect of reducing the calculation amount is achieved.

The invention belongs to the technical field of metal material processing, and relates to a method for reducing forging residual stress of turbine disks via gradient speed control on the basis of numerical calculation. According to the method, influences, on residual stress distribution, of forging speeds of turbine disks in the forging process are analyzed by combining a numerical simulation method and experimental tests, and a novel method for reducing residual stress of turbine disks via gradient speed control is given on the basis of a law of influences, on the residual stress, of the forging speeds, so that the shaping quality and service life of the turbine disks can be improved and prolonged. Aiming at the residual stress problems of turbine disks, numerical modeling is carried outon the forging process to analyze the stress strain and temperature field distribution, in each stage in the forging process, of the turbine disks, so that important information such as flowing law inthe turbine disk forging process, thermal parameter distribution in disk forge pieces, load-stroke / energy-stroke curves, mould working stress and the like in forging process and mould design processis disclosed.

The embodiment of the invention discloses a model parameter training method, a device and a system, and the method, the device and the system are used for rapidly carrying out image retrieval or parameter training of image classification. The method comprises the steps of using model parameters to carry out iterative computation on an objective function, wherein the objective function is a cost function used for image training; if the result of the iterative computation does not meet the termination condition, determining the first gradient of the objective function on the model parameters, and updating the learning rate according to the parameter distribution characteristics of the model parameters in the objective function; updating the model parameters according to the learning rate and the first gradient; repeating the previous steps until the result of the iterative computation meets the termination condition; obtaining the model parameter corresponding to the result of the iterative computation meeting the termination condition.

The invention discloses a method to testing flow parameters distribution in particle fluid two-phase flow reactor. It includes the following steps: according to the structure size and physical property, operation condition of reactor to gain speed and thickness distribution; gaining medium structure parameter; solving all the combination of variation root to seek the optimal root; calculating interlacing drag force and replacing drag force relationship of two-phase flow module to take iterative computation to gain the thickness, in random infinitesimal of reactor, and the space distribution and time evolution of speed flow field. The invention could gain drag coefficient reflecting actual situation and accurately calculate the flow, reacting, heat transferring and mass transferring process in reactor.

The invention relates to a novel design method of an intelligent alternating-current and direct-current electromagnetic apparatus. An open type background database including electromagnetic systems and contact systems of different structures, shapes and materials is set up, counter force systems and the contact systems are designed according to the needs of on-off currents for counter force and the shape of contacts, the electromagnetic systems meeting the needs are designed according to the counter force systems, and multi-physic-field coupling simulation analysis and structural optimization design are carried out; through multi-software united calling, a multi-physic-field coupling relation between an electric electronic circuit and an electromagnetic apparatus body is introduced into dynamic calculation, and unit time step length closed-loop simulation of a nonlinear time domain of an intelligent control module and the apparatus body is carried out; an arc magnetic fluid kinetic model is built, arc motion conditions under different breaking control schemes are analyzed by combining a dynamic grid technology according to the motion track of the contacts, meanwhile, a breaking process arc equivalent model is obtained according to the arc parameter distribution conditions under different contact strokes at different moments, and arc energy is analyzed. An integrated simulation system with process control and a multi-field coupling electromagnetic apparatus virtual prototype is really built.

The present invention provides a phase control heterogeneous mechanical parameter crustal stress prediction method, comprising: a first step of establishing a petrographic interpretation template and performing single well petrographic interpretation; a second step of performing inter-well prediction according to the interpreted all single well petrographic data in combination with seismic attribute data, and establishing a three-dimensional petrographic model; a third step of establishing a p-wave and s-wave time difference relation of different petrographic facies, and solving each single well mechanical parameter; a fourth step of establishing a three-dimensional heterogeneous mechanical parameter model under the control of petrographic facies; and a fifth step of determining a boundary condition of crustal stress finite element simulation, and predicting a three-dimensional crustal stress field. The phase control heterogeneous mechanical parameter crustal stress prediction method achieves finite element crustal stress simulation under a three-dimensional heterogeneous mechanical parameter condition, and the simulation model is closer to real mechanical parameter distribution characteristics of underground geologic bodies than a conventional inner-layer homogeneous mechanical parameter model, thereby greatly improving prediction accuracy of crustal stress.