40 results about "Y-Coordinate" patented technology

The invention relates to the technical field of display, and provides a method for improving the straightness of a metal mask, which comprises the following steps: measuring the pixel position precision deviation of a plurality of specified point positions of a plurality of sample masks; selecting the X coordinates of the plurality of specified points as an independent variable and the sum of the Y coordinates and the Y-direction deviation as a dependent variable for fitting, or selecting the Y coordinates of the plurality of specified points as an independent variable and the sum of the X coordinates and the X-direction deviation as a dependent variable for fitting to obtain a fitting expression; when a target product is manufactured, a compensation value required by a theoretical coordinate value of a pixel opening point location of the target product is calculated, the theoretical coordinate value of the pixel opening point location in a photomask design layout of the target product is replaced by a compensated actual coordinate value, and the compensated photomask design layout is adopted to expose and manufacture a metal mask plate. The technical problems that the straightness of the metal mask plate is poor, the product yield is poor and the cost is wasted due to the fact that the raw material type is poor are solved.

The invention discloses a method for automatically measuring the center position of a five-axis rotary table cradle, and relates to the technical field of five-axis machining tools. The method comprises the following steps: S1, placing a standard ball at a preset position of a five-axis turntable, and enabling a probe to contact and obtain a contact point coordinate; s2, fitting by using a least square method to obtain a sphere center coordinate and a radius; s3, controlling the C shaft to rotate, changing the position of the standard ball, obtaining the contact point again and determining the position of the standard ball; s4, rotating the standard ball to a second position, calculating the center coordinate of the ball, and estimating the center X and Y coordinates of the rotary table; s5, accurately measuring a plurality of sphere center coordinates, and calculating X and Y coordinates and a deviation angle of the center of the rotary table; and S6, controlling the A axis to rotate, calculating a Z coordinate, and finally obtaining a three-dimensional coordinate of the center of the rotary table. Through automatic accurate measurement and optimization calculation, the three-dimensional coordinates of the rotary table can be efficiently and accurately determined, and stable positioning and high consistency in a complex working environment are ensured.

The invention relates to a method for generating a karst cave 3D printing digital model, a storage medium and equipment, and the generation method comprises the following steps: analyzing a seismic data file in an SEGY format; arranging and storing X and Y coordinates, trace gathers (CDP) and seismic attribute data of a specified main measuring line seismic interpretation profile (Inline) and a tie line seismic interpretation profile (Xline) corresponding to each seismic data point in an index mode; generating a corresponding orthogonal grid model on the basis of the seismic data points; searching and extracting a karst cave in the orthogonal grid model according to the seismic data information of the orthogonal grid model and each grid unit, then identifying all boundary surfaces participating in forming a karst cave boundary, and processing the boundary surfaces to obtain a karst cave contour represented by a triangular grid; and outputting and storing the three-dimensional contour of the karst cave oil reservoir model obtained in the step 3.4 according to an STL file format. The STL model is constructed by identifying and analyzing the seismic data in the SEGY format, and a new tool is provided for smooth development of a 3D printing physical model.

The invention relates to the technical field of bridge deformation monitoring, in particular to a highway bridge deformation monitoring method and system based on laser measurement, and the method comprises the steps: obtaining a slope difference of a fitting straight line and a curvature difference of all edge points based on x and y coordinates of all edge points between two side edge clusters; de-noising various point clouds in combination with the local change trend of the curvature of all edge points in each side cluster; fitting each plane point and all plane points in the neighborhood of the plane point, analyzing the error condition of the fitting process, and screening out a feature cluster by combining the dispersion degree of the curvature of each plane point and all plane points in the neighborhood of the plane point; all matching point pairs between the feature clusters of different feature point clouds are obtained, key indexes are determined by analyzing the distance between the matching point pairs and the difference of the concave-convex coefficients between the matching point pairs, and deformation monitoring is carried out on the highway bridge. The invention aims to improve the precision of monitoring the deformation of the highway bridge.

A method comprising receiving ocular imaging data representing a target layer- of-interest of a human cornea; processing the ocular imaging data to calculate elevation data relative to a best-fit reference shape for a set of sampling points; generating a 3-D cloud indicative of the elevation and X, Y coordinates of the set of sampling points within a cartesian plane; selecting a successive plurality of discrete azimuthal sectors of the sampling points; converting the sampling points in each of the plurality of discrete azimuthal sectors into a 2-D representation; finding, for each of the 2-D representations, a best-fit shape; measuring a diopter of each of the best-fit shapes, based, at least in part, on a known refractive index of the target layer-of-interest; and calculating, from all of the measured diopters, a mean diopter power of the target layer-of-interest.

The application discloses a kind of experimental correction method and system of optical deformation of density interface in density stratified fluid, method steps: S1, obtains the continuous original image of spherical particle cross-interface, control adjacent image particle displacement is not more than average pixel radius, set particle falling direction as y axis positive direction;S2, select the image i before particle enters interface, get y coordinate by profile, build the mapping array of corrected y' and original y;S3, select the i+n (n≥1, indicate that it is processed n image) image, get y coordinate and particle center by profile, determine particle center correction position according to mapping array, obtain its corrected y' by formula for specific line, add mapping array;S4, repeat S3 to obtain complete mapping array;S5, according to complete mapping array, correct subsequent image.The application constructs mapping array in stages to realize accurate correction, and can improve the reliability of related experimental image measurement data.

An inspecting unit for use in a laser processing apparatus includes a camera configured to image a spot of a laser beam, and a processing unit configured to generate a light intensity at two-dimensional X-Y coordinates corresponding to a two-dimensional image imaged by the camera. The processing unit includes a determining unit configured to generate a three-dimensional approximate curve or an approximate curved surface such that the light intensity corresponding to the two-dimensional coordinates is set as a Z-coordinate, and determine that there is dirt, a flaw, or an abnormality in an optical system on an optical path on the laser oscillator side of a position at which the spot is imaged when a difference between the first light intensity of the Z-coordinate corresponding to the two-dimensional coordinates and a second light intensity indicated by the approximate curve or the approximate curved surface exceeds an allowable value.

The invention discloses a cube chartlet texture cache allocation method based on X and Y coordinates and surface label optimization, and the method comprises the steps: unfolding a cube chartlet into a plane, taking the left upper corner as an original point, and reallocating the XY coordinates and surface label information of each pixel, thereby achieving the dual optimization. According to the method, cache conflicts during bilinear sampling are effectively reduced, the effect is particularly remarkable in small-size cube mapping, and the texture sampling efficiency is remarkably improved. The optimized cache allocation strategy enables distribution of texture data in the cache to be more reasonable, complexity and performance overhead caused by coordinate rotation are reduced, hardware resources are fully utilized, the service life of equipment is prolonged, and the overall performance of the system is improved. The method is suitable for cube chartlets of various sizes, has high universality and flexibility, and solves the problems of high cache conflict rate and low sampling efficiency in the prior art.

The present invention provides a method and apparatus for optical property modeling. The method includes dividing all microstructures in the periodic space into a plurality of thin slices in the z direction; obtaining each closed region projected by the thin slices of the same layer on the xy plane of the periodic space, and representing the boundaries of the respective closed regions as respective polygons; obtaining the x coordinates and y coordinates of the vertices of each polygon to form an x coordinate set and a y coordinate set, respectively forming candidate integral subintervals from the coordinates in the x coordinate set and the y coordinate set, obtaining a target integral subinterval from the candidate integral subintervals, and calculating the Fourier coefficients of the dielectric constant of the periodic medium and the Toeplitz matrix of the dielectric constant of the periodic medium according to the target integral subinterval, and finally realizing the optical property modeling of the periodic medium. According to the target integral subinterval, the present invention calculates the theoretical spectral data, which improves the efficiency of obtaining the theoretical spectral data while ensuring the accuracy.

The present invention relates to a method, apparatus, and storage medium for estimating the field strength of a target space field. The method includes: establishing a three-dimensional coordinate space of the target space field, dividing the three-dimensional coordinate space along the z-axis into mz x-y coordinate planes, and further dividing each x-y plane along the y-axis into my coordinate parts to obtain a plurality of smallest units; acquiring the field strength measurement values of some spatial points in the target space field; establishing a relationship function between the field strength of the target space field in the three-dimensional coordinate space and each coordinate axis, coordinate plane, and coordinate part; in each divided smallest unit, fitting the field strength measurement values of the partial spatial points into a field strength curve; and determining the field strength estimated value corresponding to any target spatial point according to the field strength curve. Through this technical solution, the purpose of estimating the field characteristics of spatial points is achieved, and the complexity and workload are greatly reduced.

Method for the screening of child undernutrition comprising a photograph taking step (101),a digital image generation step (102), a digital image reception step (103), a landmark configuration identification step (104) wherein a configuration of bi-dimensional landmarks and semi-landmarks defining the shape of a body part depicted in the digital image is identified by means of geometric morphometric techniques, a coordinate acquisition step (105) wherein the x, y coordinates of each landmark and semi-landmark in the configuration are obtained, a normalization step (106) wherein the x, y coordinates of each landmark and semi-landmark in the configuration are normalized thus obtaining a normalized landmark configuration, and a classification step (107) wherein the normalized landmark configuration is classified by using a classifier trained with training data previously collected from a training sample of children.

The present invention relates to the field of display technology and provides a method for improving the straightness of a metal mask, comprising: measuring pixel position accuracy deviations of a plurality of designated points on a plurality of sample masks; selecting the X coordinates of the plurality of designated points as independent variables and the sum of the Y coordinates and the Y-direction deviations as dependent variables for fitting, or selecting the Y coordinates of the plurality of designated points as independent variables and the sum of the X coordinates and the X-direction deviations as dependent variables for fitting to obtain a fitting expression; and when manufacturing a target product, calculating compensation values required for theoretical coordinate values of pixel opening points of the target product, replacing the theoretical coordinate values of the pixel opening points in a photomask design layout of the target product with compensated actual coordinate values, and using the compensated photomask design layout for exposure to manufacture the metal mask, thereby solving the technical problems of poor straightness of the metal mask, poor product yield, and cost waste caused by poor original material pattern.

The present application belongs to the field of base station calibration, and is a base station calibration method based on fusion of TOF and AOA method. A base station is selected as an original base station to establish a coordinate system. With the original base station as the origin, a first adjacent base station A is found in a counterclockwise or clockwise direction, the distance r between the original base station and the base station A is measured n , the spatial coordinates of the base station A are calculated, and the azimuth of the base station A to be determined is distinguished by azimuth. The distance r between the original base station and a base station B adjacent to the base station A is measured n , the azimuth and the pitch angle are calculated, the base station A and the base station B are projected onto the xoy plane of the original base station, a spherical equation is established, two sets of spatial coordinate solutions of the base station B are obtained by solving the spherical equation, and the azimuth of the base station B is used to determine the final solution. The calibration method improves the x and y coordinate accuracy of the base station. Through distance measurement of three base stations, mutual constraint is achieved, and the calibration accuracy is improved.

The invention relates to a large array composite pipe turn-over clamping pose error measurement and compensation device and method.The device comprises a probe, a feature point carrier and an internal expansion device, the feature point carrier comprises a device body, the device body is provided with an upper end face and a lower end face, and an inner hole is formed in the device body; the reference features are installed in the composite pipe through an internal expansion device, coordinates of the central axis of the inner hole wall and coordinates of projection of the hole axis on the upper end face are detected through a probe, coordinate data of front feature points under a machine tool coordinate system are obtained, and the coordinates of the central axis of the inner hole wall are x and y coordinates of the feature points; the z coordinate difference of the upper and lower end faces is used for realizing z coordinate detection of the first face and the same reference point after the face is turned over. According to the invention, an accurate reference is provided for double-sided processing of the array composite pipe, the error of the blank is prevented from being fused into the positioning reference, the six-axis positioning deviation of the station relative to the station of the first surface can be measured before the second surface of the array composite pipe is processed, and the relative profile tolerance of the double surfaces after processing is improved.

The application provides a tunneling machine cutting track planning method based on an intelligent interaction interface, provides a roadway section parameter and a cutting process path planning function through an intelligent monitoring software interaction interface; two number axes perpendicular to each other and having a common origin are established in the interface to form an X, Y axis rectangular coordinate system, a region in the coordinate is subjected to a gridding treatment to establish a gridding map to divide a to-be-cut roadway section; in the gridding region, a starting point and an ending point coordinate data of each section in a cutting process path are taken by using an arbitrary selected point mode, after the selected point of each cutting track section is completed, a two-point coordinate line is automatically generated, and this is repeated until the planning of the whole cutting process path is completed; in the selected point coordinate process, an automatic recognition gridding intersection point function is built in the interaction interface, and when a diagonal line or an irregular cutting process path coordinate system appears, a control strategy of taking a cutting head radius as a minimum step distance to segmentally solve X, Y coordinate data is adopted to realize the optimal solution treatment on the cutting track.

The present invention provides a method for calculating machining errors, comprising: obtaining the absolute values ​​of the Y coordinates of two corresponding points in the length direction of the material when the material's large plane is coplanar with the XY axes, the material's length direction corresponds to the Y axis, the material's width direction corresponds to the X axis, and the material's height direction corresponds to the Z axis, and calculating the material's center deviation value F. Obtaining the relative values ​​of the X coordinates of the corresponding points in the material's width direction; and obtaining the relative values ​​of the X coordinates of the corresponding points on the inner side of the surface to be machined. When the material's large plane is coplanar with the XZ axes, sequentially obtaining the relative values ​​and theoretical values ​​of the X coordinates of points G2, G3, and G4 in the material's width direction; and calculating the X deviation and four-axis rotation error at the location of the surface to be machined. The present invention also provides an error compensation method, calculation device, machining equipment, method, and housing. The housing, machining error calculation and compensation method, device, equipment, and machining method of the present invention can reduce machining errors and improve product yield.

The present invention discloses a method for measuring coordinate conversion of building facades, comprising the following steps: 1. collecting the three-dimensional coordinates of each element feature point on the building facade in a free coordinate system by a non-reflective prism total station; 2. selecting two feature points on the lower left and lower right of the main line of the house on the building facade to establish a plumb plane; 3. calculating the coordinates of the projection points of each element feature point on the plumb plane; 4. calculating the angle between the plumb plane and the YOH plane of the free coordinate system; 5. converting the projection points of each element feature point on the plumb plane to the YOH plane by Rodriguez rotation; 6. respectively taking the Y coordinate and H coordinate of each element feature point on the YOH plane as the horizontal coordinate and vertical coordinate in the facade coordinate system, importing the points into the drawing software, and editing them into a drawing. The method directly converts each element feature point on the building facade to the front facade through spatial projection and spatial rotation, avoids the frequent use of coordinate inverse calculation and coordinate forward calculation, and simplifies the calculation process.

The invention provides a method for determining the optimal position of a wellhead. The method comprises the steps that the position of a reservoir dessert is obtained; according to the sweet spot position, the target entering point and the well bottom of the horizontal reservoir section serve as the first target spot position and the second target spot position respectively; the full-angle change rate and the target front distance of the horizontal well are obtained; determining an azimuth angle according to the difference value of each axis of the target spot I and the target spot II; determining the X-axis coordinate of the deflecting end point of the horizontal well according to the X-axis coordinate of the target point I, the difference value of each axis of the target point II and the target point I and the pre-target distance; determining the Y-axis coordinate of the deflecting end point according to the Y coordinate of the target spot I, the difference value of each axis of the target spot II and the target spot I and the target front distance; the X-axis coordinate of the wellhead of the horizontal well is determined according to the X-axis coordinate of the deflecting end point, the difference values of all axes of the deflecting end point and the second target point and the full-angle change rate; and the Y-axis coordinate of the wellhead of the horizontal well is determined according to the Y-axis coordinate of the deflecting end point, the difference values of all the axes of the deflecting end point and the second target point and the full-angle change rate. The problem that there is no method for determining the optimal position of the wellhead in the prior art is solved.

A convolution method for high speed deep learning according to the present invention includes (a) a step in which a feature map receiving unit of the convolution system receives a feature map configured by N channels; (b) a step in which a main controller of the convolution system selects a “0”-th channel from the feature map configured by N channels; (c) a step in which the main controller confirms a coordinate in which x, y coordinate is “0”, from the feature map of the “0”-th channel; (d) a coarse step in which a convolution calculating unit of the convolution system performs a convolution operation and a rectified linear unit (ReLU) operation while shifting by 2 in a horizontal direction and a vertical direction in the feature map; (e) a step in which the channel switching unit of the convolution system switches the channel to a subsequent channel when the coarse step is completed for the feature map of the “0”-th channel; (g) a step in which the main controller determines whether the switched channel is greater or less than N; and (g) a step in which if the channel switched in step (0 is greater than N, the main controller determines that the convolution operation for all channels has been completed and outputs the feature map by means of a feature map output unit. By doing this, the convolution operation which occupies most of the convolution neural network is reduced to increase inference speed in the deep learning.

The present application relates to a kind of infrared touch screen real touch point recognition method and infrared touch screen, method includes: the slope k of all n pieces of blocked light in first coordinate system is calculated with intercept b, obtain n groups of numerical combinations;N groups of numerical combinations are filled into kob second coordinate system, obtain n coordinate points;Identify alternative touch area in first coordinate system;The number of internal blocked light of each alternative touch area centroid point coordinate value is calculated, from the alternative touch area that is not selected, the number of internal blocked light most is selected as target alternative touch area, the centroid point coordinate value thereof is mapped as a virtual straight line in second coordinate system, all coordinate points in the range of the virtual straight line and both sides are marked as cleared, stop until the coordinate point marked as cleared reaches preset proportion, with the X coordinate value and Y coordinate value of the virtual straight line each corresponding as the coordinate of each point, realize the coordinate of each real point when multi-point touch is quickly and accurately judged.

This invention discloses a method for analyzing the behavior patterns of flight trajectory points based on deep learning image processing, comprising the following steps: Step 1, converting the latitude and longitude of the flight trajectory points into x and y coordinates on the image using the Universal Transversal Mercator method; Step 2, using the rol-traj-yolov5 algorithm to adaptively rotate bounding box detection to predict the position of a specific trajectory and identify its pattern; Step 3, analyzing the specific behavior patterns of the trajectory to determine the specific aircraft model that formed the trajectory, and the specific mission or flight route. This invention, by identifying the trajectory patterns of a specific region of the flight trajectory point, can analyze useful information such as the aircraft model and the currently executed mission or flight route.

This invention discloses a method for JRC estimation based on Hausdorff distance. The method involves extracting the coordinates of 10 standard profiles of Barton's structural surfaces with a sampling interval of dx. Based on the extracted x and y coordinate data, the cumulative slope of each standard profile is calculated, forming a cumulative slope data sequence of standard curves. The structural surface curves are then measured in the field, and the coordinates of the measured curves are extracted with a sampling interval of dx. The cumulative slope of the measured curves is calculated, forming a cumulative slope data sequence of measured data. The Hausdorff distance between the cumulative slope of the measured curves and the cumulative slope of the standard curves is calculated. The standard profile of the structural surface most similar to the measured curve is identified, and its corresponding JRC value is assigned to the measured curve, ultimately estimating the JRC value of the measured curve. This invention achieves JRC value estimation based on the self-similarity of the cumulative slope of the curves, avoiding the arbitrariness and subjectivity in determining the JRC value caused by comparing visual observation with standard profiles.

Provided is a method for evaluating an edge profile of a wafer, which is capable of quantitatively evaluating a degree of similarity between edge profiles at two locations. The edge profiles at the two locations are measured (step S1). X-Y coordinates of two items of edge profile data are acquired (step S2). The X-Y coordinates are converted into Rθ polar coordinates (step S3). The two items of edge profile data are displayed on an Rθ orthogonal coordinate plane with the horizontal axis as θ and the vertical axis as R (step S4). On the Rθ orthogonal coordinate plane, the average value of each R is subtracted from each item of edge profile data (step S5). On the Rθ orthogonal coordinate plane, a difference R' of R is taken between the two items of edge profile data (step S6). As an example, a root mean square RMS of R' is calculated (step S7). The degree of similarity between the edge profiles is evaluated on the basis of the RMS (step S8).

Method, system and device for evaluating the abnormal degree of outliers in the redundant object detection signal of aerospace relays, belonging to the technical field of redundant object detection of aerospace relays. In order to solve the problem of more false judgments and missed judgments based on the pulse occurrence time method caused by the fact that the component signals in the redundant object detection of aerospace relays do not always appear as single-group pulse sequences with continuous and periodic cycles. The present invention first extracts pulses from the PIND signals collected in the redundant object detection of aerospace relays, and frames the extracted pulse signals; then folds the framed signals; uses the coordinates of the peak point of each pulse in the frame where the pulse is located to represent the pulse, and displays the peak points of the pulses on all framed segments on the x-y coordinate axes, with the x-axis being the length direction of each frame of signal and the y-axis being the amplitude direction of each frame of signal; evaluates the abnormal degree of outliers based on the peak point coordinates of the corresponding pulses on all framed segments on the x-y coordinate axes.

An inspecting unit for use in a laser processing apparatus includes a camera configured to image a spot of a laser beam, and a processing unit configured to generate a light intensity at two-dimensional X-Y coordinates corresponding to a two-dimensional image imaged by the camera. The processing unit includes a determining unit configured to generate a three-dimensional approximate curve or an approximate curved surface such that the light intensity corresponding to the two-dimensional coordinates is set as a Z-coordinate, and determine that there is dirt, a flaw, or an abnormality in an optical system on an optical path on the laser oscillator side of a position at which the spot is imaged when a difference between the first light intensity of the Z-coordinate corresponding to the two-dimensional coordinates and a second light intensity indicated by the approximate curve or the approximate curved surface exceeds an allowable value.

The invention discloses a construction method for a variable-gradient special-shaped conical slope precast block protection slope. The construction method comprises the steps that S1, the slope vertex elevation, the two slope toe point elevations, the gradients of two slope surfaces and the intersection line position are obtained; s2, an X-Y-Z three-dimensional coordinate system with the horizontal plane where the two slope toe points are located as the X-Y coordinate plane and the vertical line direction of the slope top point as the Z-axis direction is constructed; s3, the long slope intersection line and the short slope intersection line are equally divided according to the preset segment number, and equal-height segment points and two slope toe points on the long slope intersection line and the short slope intersection line are connected through a quarter elliptic arc; s4, control points used for installing control piles are arranged on the slope top point, the two slope toe points, the equal-elevation segmentation points and the one-fourth elliptic arc; s5, marking the pile body of the control pile; s6, the slope surface is subjected to primary brushing and trimming; s7, laying a cushion layer; s8, precast blocks are laid; and S9, joint filling. The appearance attractiveness is improved while the protection durability and stability of the precast block slope protection are guaranteed.

An apparatus is provided that executes instructions to move an item within a scan zone to specific X-Y coordinates of the scan zone. The item is placed on a platform and is rotated 360 degrees at each X-Y coordinate within the scan zone. Item images are captured by cameras at each X-Y coordinate and for each rotation at the corresponding X-Y coordinate. The item images are labeled and retained. The item images are used as input to a Machine-Learning Model (MLM) to train the MLM to recognize item codes for the items when subsequent images are captured for the item during a checkout. In an embodiment, during a checkout unknown item images are flagged and labeled with the corresponding item code when the corresponding item's barcode is scanned during the checkout; the labeled item images are also retailed for training the MLM for item recognition.