70 results about "Intensity function" patented technology

A method for generating a photolithography mask for optically transferring a pattern formed in the mask onto a substrate utilizing an imaging system. The method includes the steps of: (a) defining a set of calibration patterns, which are represented in a data format; (b) printing the calibration patterns on a substrate utilizing the given imaging system; (c) determining a first set of contour patterns corresponding to the calibration patterns imaged on the substrate; (d) generating a system pseudo-intensity function, which approximates the imaging performance of the imaging system; (e) determining a second set of contour patterns by utilizing the system pseudo-intensity function to define how the calibration patterns will be imaged in the substrate; (f) comparing the first set of contour patterns and the second set of contour patterns to determine the difference therebetween; (g) adjusting the system pseudo-intensity function until the difference between the first set of contour patterns and the second set of contour patterns is below a predefined criteria; and (h) utilizing the adjusted system pseudo-intensity function to modify the mask so as to provide for optical proximity correction.

A method for processing an image of coronary arteries given by an intensity function I(x,y). A function z(x,y) is obtained describing the heart surface. The image is then processed to produce an image having an intensity function I′(x,y) where I′ is obtained in a calculation involving the function z. The method may be used to enhance the stereoscopic effect of a stereo pair of images of coronary arteries.

An exercise and performance evaluation apparatus including a revolving belt or other engagement surface on which a subject can perform forward, backward, or sideways bipedal locomotion or other exercise movement, a means for securing the position of the subject relative to the frame of the apparatus, a means for measuring the force applied by the subject to the engagement surface, and a means for monitoring and/or controlling the velocity of the engagement surface. Securing the subject relative to the frame of the apparatus facilitates monitoring velocity as a function of time. Processing of velocity and force as a function of time allows for recording and analysis of data such as the maximal exertion force-velocity curve. Force-velocity-duration data for exertions is analyzed in terms of an intensity function. The apparatus allows exertions to be performed throughout, and outside, the first quadrant of a force-velocity-duration space.

A method and system is presented in image-guided radiosurgery for determining the measure of similarity of two digital images, for example a 2D x-ray image and a 2D DRR synthesized from 3D scan data. A two-dimensional array of pixel values of a difference image is formed by subtracting each pixel value of the second image from the corresponding pixel value of the first image. The pattern intensity function is constructed by taking the summation of asymptotic functions of the gradients of the difference image. The neighborhood R is defined so as to allow the gradients of the difference image to be considered in at least four directions.

An architecture for minimizing calibration effort in an IEEE 802.11 device location measurement system. The calibration technique is based upon a regression function that produces adequately accurate location information as a function of signal strength regardless of gaps in the calibration data or minimally available data. The algorithm takes a set of signal strengths from known room locations in a building and generates a function giving (x,y) as a function of signal strength, which function may then be used for the estimation of new locations. Radial basis functions, which are simple to express and compute, are used for regression. The fact that the algorithm maps signal strength to continuous location makes it possible to skip rooms during calibration, yet still evaluate the location in those rooms.

The invention discloses a traffic congestion index calculation method, which comprises the following steps: a, obtaining the traffic flow and the average running speed of vehicles of each road segment in a road network according to data provided by a road network vehicle detection equipment; b, calculating the number of vehicles contained in each road segment in the road network according to the traffic flow and the average running speed obtained in the step a; c, constructing a congestion intensity function taking the speed as an independent variable; d, substituting the speed of each road segment into the congestion intensity function to obtain the average congestion intensity of the road segment; and e, solving the weighted average of the congestion intensity of the whole road network by taking the number of the vehicles of each road segment as the weight number of the road segment, wherein the weighted average is used as the traffic congestion index of the road network. According to the traffic congestion index calculation method disclosed by the invention, psychological feelings of the publics can be relevantly reflected.

A temporal-influenced geospatial modeling system and method forecasts the likelihood of desirable and undesirable events. In one aspect, the present invention designates at least one temporal feature, determines an intensity function representing an expected value of event type instances corresponding to the temporal feature, determines a time window break associated with the intensity function and assesses whether the time window break is a critical time point for the event type.

The invention discloses a self-adapting adjustment method for medical image window parameters. The method calculates the left boundary and right boundary of the window according to the accumulated probability intensity function of digital medical images, fractile of probability p, fractile of probability 1-p and climbing parameter q, so that position boundaries at major body of the image column diagram can be used to suitably determine the window parameter width and position of medical images, and then reflects the pixel value of digital medical images to the grey area in the grey stage range of the display. The invention has the advantages that through the automatic calculation of the optimum window width parameters through medical image information, users can obtain clear and satisfactory display images, thus having the high robustness; the window determined by the invention makes full use of the display gray stage of display, giving prominence to organization information useful for clinical diagnosis; the test and long-time clinical application prove that the invention is suitable for most of medical images and has the good display effect.

The invention relates to an elevator equipment fault prediction method based on depth learning, belonging to the technical field of elevator fault prediction. The technical problem to be solved is toprovide a timely and accurate method to predict the type and time of elevator failure. In order to solve the technical problems, the concrete steps of the invention are summarized as follows: firstly,the elevator fault record information is collected and a real-time elevator fault information database is established; then the elevator fault information is processed into event sequence and time sequence; the event sequence and time sequence are used as the input data of double LSTM respectively, and the output embedding of the two sequences is obtained by iterative training of the loop neuralnetwork; then, the background knowledge and the nonlinear representation of the historical influence of the intensity function are obtained through joint player combined with two output embedding; finally, according to the characterization results of the strength function, the fault type and time of elevator are predicted. The invention can assist elevator maintenance personnel to take relevant preventive measures as early as possible to avoid occurrence of failure events.

A method and structure for serif mask design for correcting optical proximity effects in photolithography first characterizes a partial coherent light illumination from a photolithographic system and then utilizes the characterization results to perform serif mask design for the purpose of optical proximity corrections. The characterization of a partial coherent light illumination includes identifying an effective range of optical proximity effects for the photolithographic system, and focusing on slow-varying angle dependent terms in mutual intensity function, etc. The method and structure for serif mask design starts from ideal serif and hole design that work perfectly under a complete coherent illumination or under a complete incoherent illumination. For an outer corner, the initial design is a quarter-circle serif centered at the outer corner and located at the opposite quadrant of outer corner itself. The method then adjusts the size and shape of the serif until the image intensity at a point along the edge. For an inner corner, the initial design is a quarter-circle hole centered at the inner corner and located symmetrically inside the mask. The method then adjusts the size and shape of the serif until the aerial image intensity at the outer corner equals the aerial image intensity at a point along the edge.

The invention discloses an improved Gaussian mixed potential probability hypothesis density filtering method. The method comprises the following steps: 1) forming a target state set and a target strength function; 2) initializing probability hypothesis density and potential distribution of an initial target; 3) carrying out predication on the probability hypothesis density and potential distribution of the target state set at the time of k+1 to obtain probability hypothesis density and potential distribution at the time of k+1; 4) updating the probability hypothesis density and potential distribution of the target state set at the time of k+1 to obtain probability hypothesis density and potential distribution at the time of k+1, carrying out unbiased conversion on a true covariance matrix and true deviation, and setting an ellipsoid threshold value to simplify a measurement set and reduce observation number of a current observation set; 5) carrying out trimming and combining on Gaussian items of the target strength function, and extracting target state estimation and carrying out performance evaluation; and 6) repeating the steps 3)-5), and tracking the target until the target disappears. The method facilitates direct application of radar data information, and reduces calculation amount of a filter.

The invention discloses a polar coordinate sampling-based cross transfer function quick decomposition method. The method comprises the following steps of 1) obtaining optical parameters of an imagingsystem; 2) obtaining coordinates (ri, theta j) of sampling points on a spatial domain by adopting a polar coordinate sampling method; 3) calculating light source mutual intensity functions, defined inthe specification, and pupil functions, defined in the specification, corresponding to the sampling points through non-uniform inverse Fourier transform; 4) calculating a cross transfer function value, defined in the specification, of the spatial domain corresponding to the sampling points, and establishing a sampling matrix defined in the specification; 5) establishing a group of orthogonal basis functions defined in the specification, calculating function values, defined in the specification, of the orthogonal basis functions in corresponding polar coordinate sampling positions, and establishing a matrix Q=[q1, q2, ...qk]; 6) performing QR matrix decomposition, defined in the specification, on the matrix Q; 7) calculating a projection matrix and performing singular value decomposition on the projection matrix P to obtain P=UU*; 8) obtaining a kernel function, defined in the specification, of the cross transfer function, defined in the specification, on the spatial domain. Quick analysis can be performed to obtain the TCC kernel function, so that light intensity distribution calculation is quick and efficient, and actual photoetching process design demands are met.

The invention belongs to the technical field of software reliability growth models, and particularly relates to a software reliability growth model for introducing faults based on Weibull distribution. In order to solve the above problems, the invention adopts the technical scheme that the software reliability growth model for introducing faults based on Weibull distribution comprises the following steps of (1) constructing a fault total number function; (2) constructing a fault introduction intensity function; (3) assuming a fault total number function to conform to the Weibull distribution,and constructing a fault total number function a (t) and a fault introduction intensity function eta (t); and (4) investigating the change condition of the fault introduction rate along with the testtime according to the fault introduction process, so that the fault introduction intensity function can be rewritten in the following form.

The invention discloses an early failure removal testing method for a carrying industrial robot. The method overcomes the problem that a robot early failure removal test is long in time and relatively high in economic cost in the prior art. The early failure removal testing method for the industrial robot comprises the following steps: firstly, establishing a reliability model of a tested robot: 1) establishing an intensity function of the tested robot; and 2) adopting a maximum likelihood method to estimate unknown parameters in the intensity function of the tested robot; secondly, calculating the time inflection point of the tested robot from an early failure period to an accidental failure period: 1) calculating an experience failure function; 2) calculating pattern class functions V1 and V2; and 3) solving the time inflection point; thirdly, optimizing the testing time of the tested robot on the basis of solving the time inflection point; and fourthly, carrying out the whole machine early failure removal test of the tested robot: 1) setting preparation conditions before the test; 2) carrying out a functional test; 3) carrying out an idle operating test; 4) carrying out a whole machine load test; and 5) carrying out a whole machine precision and performance checking test.

An Optical Proximity Correction (OPC) method is provided for compensating the Optical Proximity Effect (OPE) influence. The method include providing a substrate having at least one semiconductor structure and with a plurality of regions, providing a target pattern to be formed on the substrate, and respectively obtaining aerial image light intensity functions of the plurality of regions of the substrate. The method also includes establishing an OPC model based on the aerial image light intensity functions of the plurality of regions, and performing an OPC process to the target pattern by using the OPC model to adjust the target pattern factoring in optical effect of the plurality of regions.

The invention belongs to the technical field of radars, and discloses a bistatic radar imaging method based on a tomography principle. The method comprises the steps that a bistatic radar tomography imaging system model is established; a bistatic radar echo signal is acquired, and is transformed to a frequency domain through dechirping; the signal is de-skewed, and the acquired baseband echo signal is transformed into a wavenumber domain; an image reconstruction model of a filter back-projection algorithm based on the tomography principle is acquired; through the tomography principle, the relationship between the bistatic radar wavenumber domain echo signal and a target scattering intensity function is established; and image reconstruction is carried out to acquire a bistatic radar tomography reconstruction image. According to the technical scheme provided by the invention, the tomography principle and a bistatic radar are combined to reduce the bandwidth requirement of radar imaging;a narrow-band radar can acquire better resolution; and the method is particularly suitable for imaging in a large corner.

The invention discloses an indicator function-based fast decomposition method for a cross transfer function. The method comprises the steps of (1) obtaining a light source function J(f, g) of an imaging system; (2) dividing a region omega of describing a light source to obtain a group of orthogonal sub-regions omegaij and describing the light source function J(f, g) by using an indictor function Iij(f, g) on the orthogonal sub-regions; (3) calculating inverse Fourier transform of the indictor function Iij(f, g), obtaining a primary function Lij(x, y) in a spatial domain, projecting a light source mutual intensity function as shown in the specification in the spatial domain to a group of primary functions as shown in the specification and obtaining decomposition of the light source mutual intensity function as shown in the specification; (4) building a core function as shown in the specification of the cross transfer function as shown in the specification in the spatial domain; and (5)calculating a convolution of the core function as shown in the specification and a mask pattern as shown in the specification and obtaining an exposure pattern as shown in the specification on an image plane. The light source function is expressed by using the indicator function Iij(f, g) on the orthogonal sub-regions, the decomposition of the light source mutual intensity function as shown in thespecification is directly obtained by using an orthogonality relationship of the indicator function and a projection coefficient of the light source, the core function as shown in the specification of the cross transfer function as shown in the specification is easily obtained, so that light intensity distribution calculation is fast and efficient.

The invention discloses a method for constructing a calculation intensity cube of a spatial calculation domain. The method comprises the following steps of splitting the spatial calculation domain into a plurality of sub-processes; collecting calculation time of single spatial data of different vertex numbers in each sub-process; performing linear regression analysis on the vertex numbers and the calculation time; deriving a calculation intensity function of each sub-process; retrieving an element number and a total vertex number of each calculation intensity mesh unit of the spatial calculation domain; constructing a calculation intensity mesh of each sub-process; and finally combining the calculation intensity meshes of all the sub-processes to obtain a calculation intensity cube of the spatial calculation domain. According to the method, the calculation intensity in the spatial calculation domain can be expressed in a cubic space; and the expression of the calculation intensity is accurate to the sub-process level, so that balanced decomposition of tasks can be performed for all the sub-processes in parallel calculation, and maximization of parallel calculation efficiency is realized.

A method and a system for analyzing the wavefront of a light beam, wherein a diffraction grating is arranged in a plane perpendicular to the light beam to be analyzed and optically conjugated to the analysis plane. Different emerging beams of the grating interfere to generate an image having deformations linked to the gradients of the wavefront to be analyzed.

The method is characterized in that the grating carries out the multiplication of an intensity function which is implemented by a two-dimensional grating with hexagonal meshing of surface S transmitting the light of the beam to be analyzed into plural emerging beams arranged in a hexagonal meshing, by an phase function which is implemented by a two-dimensional grating with hexagonal meshing of surface 3S which introduces a phase shift close to 2π/3 (modulo 2π) between two adjacent secondary beams.

The invention discloses a method and a device for locating an earthquake source based on a multi-vibration sensor. The method comprises the steps of: according to a location area, establishing a coordinate system; according to the propagation wave velocity of the vibration wave in the location area, calculating the propagation time between any two grid points of the vibration wave in coordinate system grids, and establishing an arrival time model according to the propagation time; obtaining vibration signals of the vibration wave collected by a plurality of sensor at the location area; according to the arrival time model, employing first sliding window processing for the vibration signal of each grid point in the coordinate system grids collected by the sensors to calculate the intensity function of each grid point at the time of occurrence of the vibration wave, and performing intensity function smoothness processing to obtain a first intensity function; determining the value of the first intensity function of each grid point; and determining the grid point corresponding the first intensity value with the maximum value as the position of the earthquake source.

The invention discloses a hybrid overall crystal gel separation medium with an ultra-large hole having hydrophobic benzyl-anion exchange tertiary amine and a preparation method of the hybrid overall crystal gel separation medium. The aperture of the crystal gel medium is 1-300 microns, the porosity is 85-96 percent, and the aqueous phase permeability is 2*10<-12>-6*10<-12>m<2>; and the crystal gel medium is provided with a functional group of the hydrophobic benzyl-anion exchange tertiary amine shown in a formula (I). A crystal gel medium polymer chain provided by the hybrid overall crystal gel separation medium simultaneously contains an amino-type ion exchange group and benzyl having a certain hydrophobic function, so that multi-point absorption of the hybrid overall crystal gel medium and biological macromolecules of proteins and the like is facilitated, the separation performance is improved, and the medium has excellent basic functions of other crystal gel mediums, like high porosity and good pore canal connectivity, and a certain mechanical intensity function, like that the medium is quickly recovered into an original shape after the medium is dried and subjected to water absorption again; and the medium has wide application prospect in the biochemical separation field; and n is a positive integer in the formula (I).

The invention provides a self-adaptive virtual lip gloss generation method and system. The method comprises the following steps of: obtaining lip key points in the face image; determining a lip area according to the lip key points; counting the average color of each pixel point in the lip area; generating a color mapping curve according to the counted average color and the reference lip gloss color; obtaining the brightness of each pixel point in the lip area and the average brightness of the lip area; wherein the lip gloss intensity function is used for representing the relationship between the brightness of each pixel point in the lip area and the added lip gloss intensity, and a step of adding lip gloss to the pixel points in the lip area according to the color mapping curve and the lipgloss intensity function. According to the method, the added lip gloss can be natural in color transition and clear in texture, the lip gloss can be added completely automatically and efficiently, and the effect of improving the aesthetic feeling of portraits is achieved.