91 results about "Initial curve" patented technology

An apparatus for detecting fuel-vapor gas leaks that includes a jet pump (8) that introduces outside air into and pressurizes a vapor purge system including a fuel tank (1) by gasoline flow from a fuel pump (2); an internal pressure sensor (14) for measuring vapor purge system internal pressure, an open / close controllable reference orifice (21) that causes leakage through a reference leak hole; and a storage device for storing as an initial curve pressure changes during pressurization by the jet pump (8) for a predetermined time period, with the reference orifice (21) alone opened. The device can accurately detect leakage even while an internal combustion engine is running because it judges leak presence / absence by comparing a time series in a pressure curve obtained by jet pump (8) pressurization over the predetermined time period while idling with the vapor purge system completely shut-off, with a time series in the initial curve.

The invention discloses a land cover classification method based on MODIS time series data, and relates to the field of land cover classifying. The land cover classification method aims at solving the problems that as for a traditional method, the using time is long, the minus deviation of the vegetation index is generated, and the accuracy of an SG reestablishment result is reduced. The land cover classification method based on the MODIS time series data specifically includes the following steps: (1) building an original curve; (2) carrying out filtering on the original curve to form an initial curve in a fitted mode; (3) building a cloudless image two-dimensional array of pixels of the initial curve; (4) setting a threshold value T, wherein Y is not equal to y; (5) processing the initial curve; (6) obtaining a rebuilt NDVI annual variation curve; (7) extracting vegetation growth season parameters for forming a feature image; (8) determining a final voting classification result. The land cover classification method is used for the land cover classification field based on the MODIS time series data.

The invention discloses a frequency modulation reserve market realization method considering medium and long-term electricity contract decomposition and belongs to the technical field of power system planning. According to the method, energy electricity generation cost, a frequency modulation market prospective earning, a contract completion rate and other factors are considered, an electricity contract is decomposed with the maximum self-interest being a goal, an electricity generation initial curve obtained after contract decomposition is corrected according to a security requirement and contract completion constraint, a transaction priority and a settlement reward amount of a performance superior unit are set through a frequency modulation reserve market ''two-part system'' quotation mode, an electricity generator gives a quotation based on opportunity cost when declaring a capacity price, a market clearing price can reflect the frequency modulation supply and demand situation in a system, the unit is promoted to actively provide a frequency modulation assistance service on the premise of guaranteeing secure operation of the system, and the performance of the unit is improved.

The invention discloses a remote-sensing image road network extract method based on an improved C-V mode, comprising the following steps: (1) pre-processing initial remote-sensing images; (2) selecting seed points and segmenting a first road network subimage; (3) using the level set method of the improved C-V model to extract a road network area; (4) using the method of morphologic detailing to extract the center line of the road network; (5) segmenting the next road network subimage according to the subimage position criterion rule to automatically obtain the road network initial curve according to threshold segmentation and the morphologic method. The method of the invention can be employed to effectively extract the road network from the remote-sensing image, upgrade urban road network in real time and effectively assist decision-makers in formulating traffic planning.

A method for calibrating a flowmeter, comprising choosing a pipe configuration from a list of pipe configurations, defining a number of diameters downstream from the pipe configuration where a transducer is to be installed, determining an initial curve number for the chosen pipe configuration, wherein the initial curve number corresponds to a predetermined flow profile correction curve, determining a swirl factor for the chosen pipe configuration, and computing a calibration factor for a given Reynolds number.

The invention relates to a demoscopy focus automatic segmentation method in a medical image processing technology. The method includes the following steps: detection and extraction of a focus area; preliminary segmentation of a focus area and a background area in an image and extraction of the shape, position and contour of the focus area; segmentation of a mobile contour model; and construction of an initial curve of the mobile contour model according to the contour of the focus area and establishment of a corresponding energy functional. According to a level set method and a curve evolution theory, a curve capable of meeting minimum of the energy functional is obtained through partial-differential solution and the focus area is segmented automatically from the image. The method performs automatic detection and segmentation on the focus area according to the difference of the demoscopy focus area and the surrounding area; the method is accurate and high in efficiency in focus segmentation, great in practicality, dispensed with manual interruption and capable of assisting dermatology doctors to perform more accurate focus analysis and diagnosis.

The invention discloses a method for predicting traffic flow extracted by an improved C-V model-based remote sensing image road network, which comprises the following steps of: (1) preprocessing an original remote sensing image; (2) selecting a seed point and segmenting a first road network sub-image; (3) extracting a road network area by an improved C-V model-based level set method; (4) extracting a road network central line by a morphological thinning method; (5) segmenting a next road network sub-image by using a sub-image position decision rule and automatically acquiring a road network initial curve in the road network sub-images by a threshold segmentation and morphological method; (6) vectorizing a road network; and (7) predicting the traffic flow. By integrating technology such as remote sensing, geographic information system (GIS), image identification, traffic planning and the like, an urban road network can be more accurately, efficiently and cheaply updated in real time, the traffic flow prediction cost is lower, the traffic flow prediction accuracy is higher and the traffic flow prediction period is shorter, so that decision makers can be effectively assisted in making traffic planning decisions.

The invention discloses a breast ultrasounography image segmentation method and system based on the neutrosophy set theory and level set curve evolution. The method comprises the steps that a breast ultrasounography two-dimensional gray level image is obtained; filtering processing is carried out on the breast ultrasounography two-dimensional gray level image based on the neutrosophy set theory, and the noise effect is removed; fuzzy clustering is carried out on the filtered image in a neutrosophy theory set, and a breast lump candidate area is segmented from the image; the boundary of the breast lump candidate area is used as an initial curve of a level set, and the level set curve evolution is carried out; the internal area of a curve evolution result is used as a suspected breast lump area, the area is assigned to be white, other areas are assigned to be black, and a black and white binary image is used as an output image. The noise effect can be removed from a segmentation result, and accuracy and completeness of lump shapes are kept.

A general method is given for screening laser diodes for electrostatic discharge, (ESD), damage. The laser diode may be selectively isolated from the laser driver so that a current-voltage (I-V), curve can be taken and then compared to curves taken previously on the same laser diode to ascertain the possibility of ESD damage. Presumably the initial I-V curve will be representative of the characteristics of that particular laser in the undamaged state. Such an initial curve may be supplied by the manufacturer and may be a curve specific to a particular laser diode. Comparison with a standard curve is not sufficient to determine ESD damage in the early stages of failure. Some embodiments focus on isolating the laser diode from the laser driver, storing the information locally in the transceiver, and providing some analysis resulting in flagging laser diodes showing changes that are indicative of ESD damage.

The invention relates to a method for using a plasma atomic emission spectrometer to measure impurities in high-purity gold, which comprises the following steps: weighing one unit of sample in a bunsen beaker, adding aqua regia to dissolve, replenishing hydrochloric acid deionized water to do constant volume to a scale after dissolving, respectively getting sample solution in more than two colorimetric tubes, solution in each tube is 15ml, adding gold standard solution which is mixed by elements according to a multiple relation in turn, doing constant volume by deionized water, starting the plasma atomic emission spectrometer, starting a circulating water pump, opening analytic control software, entering a 'standard addition method' control procedure, choosing a spectral line for measuring in a spectral line base, setting the concentration value of curved lines, scanning a whole band, sucking sample solution in each colorimetric tube in an instrument in turn according to the sequence that the concentration is from low to high, clicking a feeler switch to get an initial curve point of the point after sucking in each time, assuring curved lines, and leading the linear coefficient to be more than 0.99, outputting the concentration value result of each determined element, and calculating the result of the percentage content of each determined element according to the calculating formula.

The invention discloses an image segmentation method and system. The image segmentation method comprises the steps of detecting a salient region of a target image to obtain an initialized boundary curve of a target region; generating a new energy functional according to an energy functional of an LIF (Local Image Fitting) model and an energy function of a DRLSE (Distance Regularized Level Set Evolution) model; performing evolution on the initialized boundary curve according to the new energy functional and a preset number of iterations to acquire an evolved boundary curve; and carrying out image segmentation according to the evolved boundary curve. According to the invention, the initial curve is enabled to the started near the edge of the target region through performing saliency detection, so that the time of evolution is greatly saved, and the segmentation accuracy is improved; and image with complicated background information and weak boundaries can be effectively segmented according to a level set method combining local information and gradient information.

The invention relates to a tongue body extracting method in the field of image processing technology. It comprises: ascertaining the tongue tip character area, ascertaining the tongue root character area, generating color gradient picture, constructing Snake initial curve, cutting initially, quoting the cutting effect: directly extracting the tongue body image when it cuts accurately, or enters into the next step; ascertaining some seed points around the tongue body, auto generating Pit line by the color gradient picture and doing second cutting: the corresponding Snake curve has been equally divided, the end point of each section is connected with the corresponding point of the Pit line, computing the spring force between the Pit points, adding the external force in the energy function, iterating the Snake curve until it contracts, at last extracting the tongue body image.

The invention discloses an image segmentation correcting method based on geodesic active region models, mainly solving the problem of incorrect probability modeling of a traditional method and comprising the realizing steps of: (1) carrying out Gabor filtering on images to be segmented and extracting the sliding window energy characteristics of each sub-band of the filtered images; (2) establishing Gaussian models according to the sliding window energy characteristics of marking points and estimating the self-adaptive weight of each characteristic passage; (3) adaptively weighting each characteristic passage probability to obtain the region probability and the boundary probability of pixels; (4) correcting the region probability and the boundary probability of the pixels according to a correcting algorithm based on the marking points; and (5) continuously evolving an initial curve by the geodesic active region models to obtain the boundary of an interesting target for finishing segmenting the images. The method enhances the modeling correctness of the region probability and the boundary probability of the pixels, obviously improves the region conformity and the edge correctness of a segmentation result, and is used for all kinds of image segmentations.

The present invention provides a reflector antenna shape optimization method and device. The method comprises the steps of S1 based on an aperture-field distribution function of an antenna and a pattern function of a feed source, obtaining an initial curve of the shape of the antenna; S2 based on the initial curve, obtaining the radiation characteristic of the antenna; S3 based on the radiation characteristic and a design requirement value, carrying out the shape optimization processing on the antenna. According to the present invention, the reflector configuration is fitted by a Zernike polynomial, the shape variable quantity of an antenna shape reflector and a normal vector on the reflector are solved by an analysis relation, and an antenna surface current is solved, on the basis, the design requirement value is compared according to the radiation characteristic of the antenna, and a genetic algorithm is utilized to optimize the shape of the antenna, so that the optimization efficiency is high, after shaping, the reflector presentation precision is high, the test and processing are easy, and the reflector antenna has wide military and civilian prospects.

The invention relates to a reaction curve generation method. The reaction curve generation method comprises the following steps: 1) acquiring a transmission light signal value to obtain initial time sequence light quantity data and form an initial curve; 2) selecting a function model meeting the initial curve and fitting according to the initial curve to obtain a fitting curve; 3) comparing whether a determination coefficient of the fitting curve is no less than a target value or not; if so, entering step 5); otherwise, entering step 4); 4) calculating theoretical time sequence light quantitydata and determining repairing data; reforming an initial curve and returning back to step 2); 5) taking the fitting curve as a reaction curve. The reaction curve formed by the method disclosed by theinvention similarly restores a reaction process at maximum so that an absorbance value calculated by the reaction curve is more accurate. The invention also relates to a reaction curve generation device and an optical detection system.

The present invention relates to a diagnostic system and diagnostic method of a contact state of a high-voltage circuit breaker. The diagnostic system is formed by connecting a contact dynamic resistance measurement device and a contact state diagnostic device. The method comprises: the contact dynamic resistance measurement device is configured to obtain a dynamic resistance-stroke curve of the opening process of the breaker contact; the contact state diagnostic device is configured to calculate the correlation coefficient of the dynamic resistance-stroke curve of the opening process and an initial curve; and the contact state diagnostic device is configured to compare the correlation coefficient of the curves and the area of the contact portion of the arc contact with a standard value to obtain the diagnosis result of the contact state. According to the invention, the correlation coefficient of a dynamic resistance curve and the area of the contact portion of an arc contact are taken as characteristic quantities and are used for comparing with a standard value to obtain a contact state so as to facilitate effective diagnosis of the inner condition of an arc extinguish chamber, and therefore the diagnostic system and diagnostic method of a contact state of a high-voltage circuit breaker diagnose are high in accuracy, fast in detection speed, convenient and rapid, and do not need to disassemble the arc extinguish chamber, etc.

The invention discloses a method and device for fitting lane lines and a terminal, and belongs to the field of intelligent traffic. The method comprises the following steps: extracting lane line feature points from a lane image shot by an image shooting part; Fitting the lane line feature points based on an M-order polynomial equation to obtain an initial curve equation of the lane line; Determining a lane line segmentation position based on the curvature of the initial curve equation; Polynomial equation based on N times, fitting lane line feature points located between the lane line segmentposition and the far end of the image to obtain a curve equation of a first segment of a lane line, and fitting the lane line feature points located between the lane line segment position and the nearend of the image based on an O-order polynomial equation to obtain a curve equation of a second segment of the lane line; And determining a final curvilinear equation of the lane line according to the curvilinear equation of the first subsection and the curvilinear equation of the second subsection. According to the invention, the driving safety can be improved.

The invention discloses a synechia cell image segmenting method based on a polyphase mutual exclusion level set. The circle centers of all cells are acquired through carrying out Hough transformation circle detection to quasi-circle cells in a microscopical cell image; a small circle is automatically set according to the circle center of every cell; each small circle is taken as an initial curve; independent evolution is carried out to a synechia cell area under the effect of mutual exclusion energy according to the guidance of image gradient information and the mode of simultaneously evoluting multi-level functions; mutual exclusion among different closed curves can be ensured; therefore, the synechia cell image is segmented; the problem that the traditional segmenting method cannot segment synechia crowded cell group areas is solved; and the method of the invention is advantaged by that the processing steps are few, the segmented cell outlines are natural and the method is applicable for segmenting and counting the quasi-circle cell image, has high measurement precision and strong adaptive capacity.

The invention provides a method for measuring impurities in 4-5N high-purity tin by a plasma atomic emission spectrometer, comprising the following steps of: weighing one unit of a sample, dissolving by adding aqua regia into a beaker, completely dissolving, replenishing hydrochloric acid, continuously heating at low temperature, repeating twice, finally replenishing hydrochloric acid, putting into a 100mL volumetric flask, and setting the volume at degree scale by deionized water for later measurement; remaining a pre-prepared standard work curve with the concentration from low to high for later use; and turning on the plasma atomic emission spectrometer, turning on a water circulating pump, turning on analysis control software, entering a 'standard curve method' control program, selecting a spectrum line for detecting in a spectrum line bank, setting a curve concentration value, carrying out full-wave band scanning, sequentially sucking sample solution of the standard work curve into the spectrometer according to a sequence that the concentration is from low to high, clicking a test key to obtain an initial curve point of the point after suction at each time, confirming the curve, so as to enable the linear coefficient of the curve to be more than 0.99, sucking solution to be measured into the spectrometer, outputting concentration value results of each element to be measured, and obtaining percentage content results of each element to be measured according to a calculation formula.

What is disclosed is a novel system and method for text vectorization for bitmap images with reduced artificial discontinuities. Dominant points are identified in a bitmap character image. An initial curve is fitted to edge points of the character image in a vicinity of a selected dominant point. A set of boundary parameters in a vicinity of the selected dominant point are estimated based upon the initial curve. The selected dominant point is then classified as one of a sharp dominant point and a smooth dominant point based upon the boundary parameters or alternatively upon predefined classifications produced by an optical character recognition process. Curves are fitted between the selected dominant point and adjacent dominant points. The fitted curves maintain the estimated boundary parameters in the vicinity of smooth dominant points. A vectorized representation of the text character image based upon the fitted curves is produced as output.

The invention discloses a nickel-doped cobalt selenide electrocatalytic hydrogen evolution catalyst and a preparation method thereof, and relates to an electrocatalytic hydrogen evolution catalyst anda preparation method thereof. The invention aims to solve the technical problems of complex preparation steps, high cost and poor safety of existing cobalt selenide-doped electrocatalytic hydrogen evolution catalysts. The general chemical formula of the catalyst is CoxNiySe2, wherein x is in a range of 0.6-0.8, and y is in a range of 0.1-0.35. The preparation method comprises the following steps:dissolving selenium powder in a potassium hydroxide solution, then adding Co(NO3)2.6H2O, Ni(NO3)2.6H2O, ethylene diamine tetraacetic acid-2Na (EDTA-2Na) and ultrapure water, carrying out uniform stirring to obtain a mixed solution, transferring the mixed solution into a reaction kettle for a hydrothermal reaction, and then carrying out cleaning and drying to obtain the catalyst. The overpotentialof the catalyst reaches 170-195 mV VS RHE, and after 1000 circles of continuous cyclic voltammetry tests, a polarization curve is almost overlapped with an initial curve, so that stability is high, and the catalyst can be used in electrocatalytic hydrogen evolution reactions.

Methods and systems for analyzing flutter test data using non-linear transfer function frequency response fitting are provided. In one embodiment, a plurality of data points are read, with each data point representing a motion of an aeroelastic structure (e.g. an aircraft surface) at a different location. A closed form fit to the plurality of data points is performed to obtain an initial curve fit condition. At least one non-linear transfer function frequency response curve fit is then performed to the plurality of data points.

The invention relates to a boomerang that can automatically change both elevation angle a of blades and curve radius r of blades upon the change of rotary speed of blades (12), wherein blades (12) are made of elastically plastic film preferably selected from a group of polyvinyl chloride, polypropylene, polyethylene terephthalate, polystyrene and high impact polystyrene, the material has a specific weight of from about 0,9g / cm3 to about l,60g / cm3 and as thicknesses of from about 0,1mm to about 1mm; the ratio between rear groove deep and blade width is of from about 1 / 7 to about 6 / 7; the ratio between front groove deep and blade width is of from about 0 to about 3 / 7; the elevation angle a0 is of from about 10 DEG to about 45 DEG; the initial curve radius ro of the blades is longer or equal to 1 / 5 of the radius R of said ring (13); the ratio between the total area of said blades and the area of a circle defined by said ring (13) is of from about 12,5% to about 38%.

The invention relates to a distributed optimization method of charging behaviors of a plurality of electric automobiles in an aggregator and belongs to the technical field of electric power system operation and control. According to the method, a controller of a parking lot or a cell side is used as a coordinator for optimal computation and used for providing coordinating information for sub-controllers on the automobiles, and the sub-controllers optimize charging power curves of the sub-controllers according to the coordinating information and feed the information back to the coordinator. Iterative computations are performed according to the following steps that firstly, the sub-controllers of the automobiles initialize an initial curve which meets charging requirements of the sub-controllers, and the step is used as a starting step of iteration; and after each iteration, the coordinator can obtain improved charging power of the electric automobiles, and the charging power of the electric automobiles is obtained after iteration convergence and sent to the sub-controllers. By means of a charging scheme of the method, best approximation of ideal curves can be achieved. The method is applicable to physical distribution characteristics of the automobiles and simultaneously has high calculation efficiencies.

The invention discloses an image collaborative segmentation method based on minimum fuzzy divergence, and belongs to the technical field of image processing and computer vision. According to the method, the segmentation effect is judged through an Intersection over Union (IOU) value, and the method comprises the following steps: 1, acquiring an image segmentation data set, and performing conversion from an RGB space to an LAB space; 2, constructing a fuzzy divergence formula by using a Gamma-type membership function, constructing a new energy function, and performing curve evolution accordingto a minimum fuzzy divergence criterion to achieve a good segmentation effect. The target edge is better processed by using the fuzzy set theory. The color information of one image is introduced intothe energy function of the other image, so that the robustness of initial curve replacement can be enhanced. An optimal segmentation effect is achieved by solving a local minimum value of an energy function by utilizing a region-based active contour model. The established model can reduce the complexity of calculation time, and can be applied to early-stage work of an integrated imaging three-dimensional display system.

The invention discloses an interactive contour extraction method. The method comprises the steps that 1), 1-d axis coordination system establishing: a user interactive script is taken as initialization to establish a 1-d axis coordination system taking an initial curve as the center; 2), local contour line extraction, the process of finding local contour lines in the 1-d axis coordination system is modeled as the problem of a maximized energy function, and the locally optimal solution is solved by using dynamic programming; 3), multi-scale local contour line set generation: local contour linesets with different lengths and densely overlapped are extracted from the initial curve; 4), global contour line fusion: a method based on wPCA is used, and a global contour line is extracted from a redundant local contour line set. By means of the method, any complicated object contour can be presented, and the method has the advantages of being accurate, convenient, less in user interaction, fast in running speed and continuous and smooth in the global contour line.

The invention provides a debris flow vulnerability calculating method comprising the steps of: a, building a building vulnerability evaluation model; b, selecting typical buildings; c, dividing loss types of the typical buildings into four levels and calculating the loss probability of buildings in each level under different debris flow intensity indexes IDF ; d, calculating the exceeding loss probability of buildings of each level and obtaining three exceeding loss probability matrix curves; e, superposing the three exceeding loss probability matrix curves, performing artificial interpolation according to a fitting function to make the loss probability achieve 1 value finally and obtaining a debris flow building vulnerability curve; f, for different types of roads, defining loss levels, and making the loss probability value achieve 1 value through an initial curve, trend fitting, artificial interpolation and weight determination and obtaining a debris flow road vulnerability curve. The method employs the loss probability-based evaluation model, so that evaluation results more accord with the reality and the applicability is greater.