121 results about "Correlation curve" patented technology

A system and method for determining and applying characterization correlation curves for aging effects on an organic light organic light emitting device (OLED) based pixel is disclosed. A first stress condition is applied to a reference pixel having a drive transistor and an OLED. An output voltage based on a reference current is measured periodically to determine an electrical characteristic of the reference pixel under the first predetermined stress condition. The luminance of the reference pixel is measured periodically to determine an optical characteristic of the reference pixel. A characterization correlation curve corresponding to the first stress condition including the determined electrical and optical characteristic of the reference pixel is stored. Characterization correlation curves for other predetermined stress conditions are also stored based on application of the predetermined stress conditions on other reference pixels. The stress condition of an active pixel is determined and a compensation voltage is determined by correlating the stress condition of the active pixel with the curves of the predetermined stress conditions.

An algorithm for removing motion artifacts from a PPG signal in the frequency domain and a harmonic template classifier (HTC) algorithm and unit to determine heart rate are disclosed. In some examples, PPG signals can be processed in combination with accelerometer signals to remove unwanted artifacts in the frequency domain. For example, an acceleration mask can be generated and used to filter out acceleration contributions represented in the PPG signal. Additionally or alternatively, in some examples, an HTC unit can be configured to generate a heart rate correlation curve based on the correlation between frequency domain PPG signals and spectral templates. In some examples, the HTC unit can be configured to implement an algorithm to determine a predicted heart rate and an associated confidence measure. In some examples, heuristics can be used to determine a predicted heart rate based on the correlation curve and / or the confidence measure.

The invention discloses a battery charge state detection method. The method is characterized by normalizing voltage-charge state curves with different temperatures and different cycle charging and discharging times which are stored in a memory chip to obtain a battery charge state value SOC of a battery charging and discharging normalization curve for calibration based on an ampere-hour measurement method. The method has little error, and is applicable to static state of the battery as well as working state of the battery, In addition, correlation curves can be established by a logistic fitting tool, which simplifies the modeling process and facilitates application of the method.

An apparatus for measuring a characteristic and a chip temperature of an LED includes a thermal conductive component. An LED chip is disposed on the thermal conductive component. A temperature control unit is connected to the thermal conductive component for providing a temperature to the thermal conductive component, and therefore providing the temperature to the LED chip via the thermal conductive component. A power-source and voltage-meter unit provides a current to the LED chip, and measures a voltage value of the LED chip. Under a measurement mode, the current is featured with a current waveform having a high current level and a low current level which are alternatively changed, for applying to the LED chip. Measurements are conducted respectively corresponding to the high current level and the low current level, and a correlation curve between the voltage and the temperature can be obtained with the results of measurement.

An apparatus for measuring a characteristic and a chip temperature of an LED includes a thermal conductive component. An LED chip is disposed on the thermal conductive component. A temperature control unit is connected to the thermal conductive component for providing a temperature to the thermal conductive component, and therefore providing the temperature to the LED chip via the thermal conductive component. A power-source and voltage-meter unit provides a current to the LED chip, and measures a voltage value of the LED chip. Under a measurement mode, the current is featured with a current waveform having a high current level and a low current level which are alternatively changed, for applying to the LED chip. Measurements are conducted respectively corresponding to the high current level and the low current level, and a correlation curve between the voltage and the temperature can be obtained with the results of measurement.

The invention relates to a method of controlling contents of nitrate and nitrite in tobaccos reconstituted in a papermaking method, belonging to the technical field of reconstituting tobaccos in the papermaking method. The method is an improvement, and the improved points include that a, an electrodialysis desalination procedure is added between a procedure for solid-liquid separation and extraction of raw materials of tobaccos and a procedure for extract concentration and coating preparation; b, the electrodialysis procedure comprises pretreatment and electrodialysis desalination of extract of the raw materials of the tobaccos; c, for the electrodialysis desalination, the voltage is set as 0.4-2.0V for each pair of ion exchange films, the flow phase in a concentrated chamber is deionized water or tap water, the quantity relative ratio of flow phases in a dilute chamber and the concentrated chamber is 3:1 to 1:3, the flow ratio is 3:1 to 1:3, and the initial material concentration in the dilute chamber is less than or equal to 20 percent; and d, control of degrees of nitrate and nitrite removal: the removal of nitrate and nitrite is controlled according to a correlation curve of the decrease rate of conductance after material desalination in the dilute chamber and the amount of the removed nitrate and nitrite. The method has the advantages that the rate of nitrate and nitrite removal is high, material losses are low, the contents of nitrate and nitrite can be controlled conveniently, the cost is low, and the application value is high.

A State of Charge (SOC) estimation device for a secondary battery in which a correlation curve indicating a relationship between an SOC and Open Circuit Voltage (OCV) differs between a charging process and discharging process. The SOC estimation device estimates the SOC based on a relational formula in which as actually measured OCV increases, weights are assigned to the correlation curve indicating the relationship between the SOC and OCV in the discharging process, and as actually measured OCV decreases, weights are assigned to the correlation curve indicating the relationship between the SOC and OCV in the charging process. With the SOC estimation device, when the correlation curve indicating the relationship between the SOC and OCV differs between the charging and discharging processes, not only when the secondary battery is being used but also when use is started after use of the secondary battery is stopped, SOC can be accurately estimated.

A system determines the efficiency degradation of organic light emitting devices (OLEDs) in multiple array-based semiconductor devices having arrays of pixels that include OLEDs. The system determines the relationship between changes in an electrical operating parameter of the OLEDs and the efficiency degradation of the OLEDs in each of the array-based semiconductor devices, uses the determined relationship for a selected one of the array-based semiconductor devices to determine the efficiency degradation of the OLEDs, and compensates for the efficiency degradation. The relationship between changes in an electrical operating parameter of the OLEDs and the efficiency degradation of the OLEDs in the array-based semiconductor devices may be determined by the use of a test OLED associated with each of the devices.

The invention relates to the technical field of medical monitoring, and discloses an instant heart rate detection method and device for Doppler fetal heart sound based on time-frequency analysis. The detection method comprises the following steps: preprocessing the Doppler fetal heart sound through a band-pass filter; performing time-sequence analysis on the preprocessed ultrasonic Doppler fetal heart sound, and acquiring a time-sequence graph of the ultrasonic Doppler fetal heart sound by adopting an STFT (Short Time Fourier Transform) to realize convenient and rapid calculation; acquiring the instant heart rate of the fetal heart sound with a cross-correlation method: selecting a feature frequency band according to the time-frequency graph of Doppler fetal heart sound, selecting a feature template according to prior knowledge of a fetal sound signal, evaluating a cross-correlation function of the feature frequency band and the feature template, drawing a cross-correlation curve, and calculating the instant heart rate of the ultrasonic Doppler fetal heart sound signal by calculating the interval of the crest value of the cross-correlation curve. The method can be applied to calculation of the instant heart rate of a clinically-acquired ultrasonic Doppler fetal heart sound signal, and has the advantages of easiness, high calculation speed and high accuracy.

The invention provides a method and a device for determining the content of adsorbed gas in a clay shale reservoir and belongs to the technical field of prediction of gas content of the clay shale reservoir. The method comprises steps as follows: influence factors of the adsorbed gas in the clay shale reservoir are obtained; the actually measured adsorbed gas content is acquired through a preset adsorption model according to physical property parameters and isothermal adsorption experimental data of a to-be-measured clay shale reservoir; a scatter diagram indicating that the actually measured adsorbed gas content changes along with the adsorbed gas influence factors is determined according to the adsorbed gas influence factors and the actually measured adsorbed gas content; the scatter diagram is subjected to fitting, a correlation curve and the fitting degree of the adsorbed gas content changing along with the predetermined influence factors are acquired, and the influence factors with the fitting degree larger than a preset value are determined as main controlling factors of the adsorbed gas content; a multiple linear regression model is established according to the main controlling factors of the adsorbed gas content; an adsorbed gas content model is determined through the multiple linear regression model according to the adsorbed gas influence factors and the actually measured adsorbed gas content. The method and the device have the characteristic of higher accuracy of a quantitative prediction result.

The invention discloses a method for measuring P91 steel weld brinell hardness. The method comprises the following steps: (1) welding P91 steel, and adjusting a heat treatment temperature and a heat preservation time to prepare test specimens with different brinell hardness values; (2) respectively detecting the Leeb hardness value HL and the brinell hardness value HB of each test specimen weld prepared in the step (1) by using a Leeb hardness tester and a Brinell hardness tester; (3) with the brinell hardness value of the test specimen with the tested hardness as a horizontal coordinate and the Leeb hardness value as a vertical coordinate, establishing an HB-HL hardness correlation curve to obtain a linear relation; (4) selecting a P91 steel weld region to be measured, measuring the Leeb hardness of the P91 steel weld region to be measured by using a portable Leeb hardness tester so as to obtain the Leeb hardness value according to the linear relation in the step (3). The method disclosed by the invention can be used for accurately detecting the brinell hardness value of the P91 steel weld and providing forceful guarantee for the safe operation of boilers.

The embodiment of the invention discloses a method for evaluating the corona discharge of an electric power transmission and a transformation device. The method comprises the following steps of acquiring a RGB (red, green and blue) image of the corona discharge, and processing the RGB image by adopting an image frame as a unit to obtain a plurality of processed images with the image frame sequence number being continuous; converting each processed image to a binary image, processing the binary images, acquiring a plurality of light spot areas and a light spot area value of each light spot area from the binary image; drawing a correlation curve of the light spot area value and the time, evaluating the corona discharge state at different time according to the drawn curve, wherein the discharge intensity of the power transmission and transformation device is large on the moment if the light spot area value on the moment is greater than a preset threshold value. The embodiment of the invention also discloses a system for evaluating the corona discharge of the electric power transmission and transformation device. By adopting the method and the system for evaluating the corona discharge of the electric power transmission and transformation device, the problem in the prior art that a corona discharge evaluation method based on ultrasonic imaging characteristic-photo number is large in statistics error when the area in which the power transmission and transformation device stays is provided with a plurality of adjacent discharge points can be solved.

A system for compensating the input signals to arrays of pixels that include semiconductor devices that age differently under different ambient and stress conditions. The system creates a library of compensation curves for different stress conditions of the semiconductor devices; identifies the stress conditions for at least a selected one of the semiconductor devices based on the rate of change or absolute value of at least one parameter of at least the selected device; selects a compensation curve for the selected device based on the identified stress conditions; calculates compensation parameters for the selected device based on the selected compensation curve; and compensates an input signal for the selected device based on the calculated compensation parameters.

The invention provides a system and a method for assisting in diagnosis and treatment of a doctor by medical informatization. The system comprises an information receiving module, a matching module, a judgment module, a statistical analysis module, an auxiliary diagnosis and treatment module and a transmitting module. The method comprises the steps of obtaining a diagnosis and treatment template corresponding to a re-diagnosis disease from a diagnosis and treatment template server according to the re-diagnosis disease when a doctor-seeing patient is re-diagnosed through judgment of the judgment module; and when a historical electronic medical record of the doctor-seeing patient is not obtained, obtaining the electronic medical record of the patient diagnosed and treated by the attending doctor of the doctor-seeing patient from an electronic medical record server, performing statistical analysis to obtain a correlation curve between various diseases confirmed by the attending doctor and statistical analysis parameters, and according to the statistical analysis parameters of the doctor-seeing patient and the correlation curve, obtaining a possible disease list of the doctor-seeing patient. According to the system and the method, the diagnosis and treatment efficiency of the doctor can be improved.

The invention discloses a simple and easy method for energy-saving effect evaluation of residential buildings, and specifically refers to a simple and easy method for energy-saving effect evaluation of residential buildings based on statistics. The invention relates to the technical field of energy-saving effect evaluation of buildings. The method provided by the invention comprises the following steps of: A determining a building energy consumption calculation model; B, optimizing the building energy consumption calculation model; C, acquiring and drawing a correlation curve of influence of a building envelop structure on building energy consumption, and measuring corresponding weight coefficient; D, obtaining a building energy consumption calculation equation; E, inputting the building envelop structure information into a building energy consumption calculation module; F, obtaining building energy consumption evaluation. Compared with workload of at least ten days of the conventional energy consumption calculation, workload of the method provided by the invention is reduced to about one day for only executing acquisition of building basic information input, calculation of the energy consumption calculation module and outputting of result, thus, problems of the prior art, such as high cost, long cycle and failure in meeting needs of project application, are solved, and the method can be generalized and used in practical guiding for projects.

A method for control data quality of automatic buoy monitoring system relates to an automatic buoy monitoring system. Data quality analysis, before data quality control, needs to analyze the data quality. Data quality analysis is an important link in the data preparation process of buoy data characteristic analysis, and is the prerequisite of data pretreatment. Outlier elimination method, aiming at the outlier obtained by the automatic monitoring system; on-site validation and evaluation: validate and evaluate the monitoring parameters of the buoy through on-site sampling and laboratory measurement, especially the data measured by biological and chemical probes, to ensure the reliability of the data; The comparison parameters mainly include NO3, DO, Chl and CDOM. Water samples can be collected at the place where the buoys are placed and brought back to the laboratory for analysis; then the correlation curve between the laboratory analysis data and the buoy data is drawn to judge the reliability of the buoy data from its distribution trend.

The invention relates to a three-drop distance non-steady flow dewatering test method for probing mine hydrogeology. According to the technical scheme of the invention for solving the problem, steady flow and non-steady flow dewatering tests are combined for a three-drop distance non-steady flow dewatering test; by implementing the dewatering test, the water storage property of a drainage water-bearing layer of a mine is evaluated based on the falling rate of water level of observation holes according to acquired test information; the watery property of the drainage water-bearing layer is evaluated by virtue of unit inflow of each drop distance and the draining property of the drainage water-bearing layer is evaluated according to a ratio of drawdown and the water inflow. The method not only can probe hydrogeological conditions of the mine in multiscales, but also can acquire abundant test data, and provides probability of establishing a mine inflow prediction model and predicting the mine inflow under a drainage water condition in the future by various methods such as a flow-drawdown correlation curve method, a steady flow analytical method, a non-steady flow analytical method and a numerical simulation method, thereby providing guarantee for correctly evaluating hydrogeological conditions of the mine.

The invention discloses a palaeogeomorphology restoration method in sedimentary period based on seismic reflection amplitude analysis. The method comprises the following steps: basic data collection;rock core calibration; single well synthetic record production and calibration and research of a target stratum; establishment of paleogeomorphology restoration well grid section; finding a lithologicinterface which is obviously related to the ratio of grainstone to stratum; establishment of a wedge forward model; summarizing correlation between thickness and amplitude of the established model; extraction of the amplitude; refitting of a correlation curve; evaluation of single well agreement rate; 3D visualization display of the extracted amplitude attribute diagram; and correction of three-dimensional paleogeomorphology to obtain accurate and quantitative three-dimensional paleogeomorphology. The advantages are that the method solves the problem that a conventional method relies on specific stratigraphic combination and seismic horizon tracking accuracy, and breaks the limitation that if there is no continuous tracking reflection interface above and below the target stratum, the sedimentary paleogeomorphology of the target stratum cannot be accurately restored; and seismic interpretation workload is reduced, and accuracy of paleogeomorphology restoration is improved.

The invention discloses a flow field image self-adaption motion vector estimating method based on FHT-CC. Firstly, a flow field image is obtained, another flow field image is obtained after a certain time period and signals of the two flow field images are converted into Fourier frequency domain manners; secondly, the frequency domain correlation measure of the two flow filed images are calculated by means of two-dimension Hartley conversion cross-correlation and an air domain correlation curved face is obtained through inverse transformation; thirdly, a Gaussian curve equation is used for fitting sub-pixel coordinates of the peak value of the air domain correlation curve face which is obtained in the first step; finally, a window scale research zone is determined. In the zone, the self-adaption window selecting technology is adopted for searching for local peak values of the SNRs of the correlation curve faces to obtain the optimal window scale. Under the optimal window scale, the coordinates of the peak value of the correlation curve faces obtained in the second step serve as motion vectors of the flow field images. According to the flow field image self-adaption motion vector estimating method based on the FHT-CC, the FHT-CC serves as the correlation measure, the equivalence and the completeness of the correlation curve faces are maintained and at the same time, the calculated amount is greatly downsized.

Regarding the influence of signal noise and signal offset to the sync performance, the invention provides a sync sequence design solution which divides the sync sequence into multi shorter-length segments; making correlated calculation for the received signals and each segment so as to generate multi correlation curves which are delayed and summarized to find the correlated peak and to complete the sync.

The invention relates to manufacture of a low temperature container, and intends to provide a method for predicting dwell time for strain-strengthening an austenitic stainless steel low temperature container. The method comprises: by a material tensile test, establishing a stress correlation curve of an austenitic stainless steel normal temperature creep deformation amount for the low temperature container; carrying out non-linear value simulation and analysis of the low temperature container made of austenitic stainless steel in a strain strengthening process, searching maximum stress at a cylinder continuous part under strengthening pressure, and recording a perimeter of the cylinder where the maximum stress lies, that is a cylinder perimeter; and obtain alphamax relative to the maximum stress by searching an alpha-sigma curve, and then calculating the dwell time of strain strengthening. The method can make a dwell technology of a pressure vessel avoid inconvenience of real time and multi-thread artificial monitoring, implements prediction of the dwell time in advance, and simultaneously accurately predicting a case of each part of the container suffering from dwell influence. The method has advantages of accurate prediction, simple operation, and feasible technology, and can be directly used in an Industrial field.

A robust initial frame detection and symbol synchronization system and methodology are provided. In particular, a first pilot is employed in conjunction with three acquisition stages. In the first stage, an attempt is made to observe the leading edge of the correlation curve associated with the first pilot symbol. In the second stage, a determination is made as to whether a leading edge was detected in the first stage by attempting to observe a flat portion and / or trailing edge of the correlation curve. Furthermore, during this second stage, a frequency loop can be updated to account for frequency offset. The third stage is for observing the trailing edge of the curve if it was not already observed in stage two. Upon detection and confirmation of receipt of the first pilot, a second pilot can subsequently be employed to acquire fine symbol timing.

The invention discloses a method for measuring uniform particle size based on an auto-correlation algorithm. The method comprises two steps of photographing a target particle image and processing the image by the auto-correlation algorithm to obtain the particle size. The image of the target particle on a plate is photographed through a digital camera, proportional relationship of actual length and pixel length is determined through a size calibration object, the image of which gray is processed is moved in eight directions in a selected target area, correlations of the area before and after the image is moved are respectively calculated, a correlation curve is drawn, the displacement distances of movement in the eight directions which firstly return to a rising top are determined and converted to actual lengths according to the proportional relationship, the maximum length in eight lengths is adopted as the long diameter of the target particle, the minimum length in the eight lengths is adopted as the middle diameter, and the mean value of the eight lengths is adopted as the mean particle size. By using the method for measuring the uniform particle size based on the auto-correlation algorithm, field measurement and on-site real-time measurement are realized, and accuracy measurement on long diameters, middle diameters and mean particle size of fine sand samples, coarse beans and pebbles is realized through universal available equipment.

The invention provides an infinite dual-medium oil reservoir mathematical modeling method for a partial-intercommunication fault boundary. The infinite dual-medium oil reservoir mathematical modeling method for the partial-intercommunication fault boundary comprises the steps that the instable pressure characteristic of a two-region infinite dual-medium oil reservoir with the partial-intercommunication fault boundary is taken into consideration firstly; a well test interpretation model of the two-region infinite dual-medium oil reservoir with the partial-intercommunication fault boundary is established; then a mathematical model is solved, and Laplace transformation is conducted on a zero-dimension well testing model, so that a similar seepage differential equation is obtained; a numerical solution of the bottom hole pressure pwfD (xD, yD and tD) with the well storage and skin effect influences taken into consideration in the real space is obtained finally, and a typical curve of the partial-intercommunication fault boundary in the two-region infinite dual-medium oil reservoir is drawn; and a transient well test interpretation model and a relevant curve are obtained through calculation by means of a point source function, and a reliable basis is provided for analysis of the condition of the infinite dual-medium oil reservoir with the partial-intercommunication fault boundary.

The invention discloses an automatic testing device for dynamic respiration resistance of a mask. The testing device comprises a head mold, a respiration simulator connected with the head mold through a pipeline, a pressure sensor, a lower computer and an upper computer, wherein the respiration simulator comprises an inspiration air source vacuum pump, an expiration air source compression pump, a reversing device solenoid valve and a mass-flow controller; the lower computer is connected with the solenoid valve, the pressure sensor and the upper computer, and a direction, a flow speed and airflow quantity of the respiration simulator can be controlled through receiving a signal of the upper computer, so that simulated respiratory frequency and tidal volume are adjusted; meanwhile, a voltage signal of the pressure sensor is received and is transmitted to the upper computer. The automatic testing device for the dynamic respiration resistance of the mask, disclosed by the invention, can be used for finishing a test on the dynamic respiration resistance of the mask; a correlation curve between dynamic respiration airflow and respiration resistance, and two respiration resistance property indexes including maximum expiration resistance and maximum inspiration resistance can be measured, so that the automatic testing device can be applied to a mask detection industry, and rapid measurement of the dynamic respiration resistance of the mask is realized.

Method and apparatus for correlating data records acquired in a signal acquisition device includes the steps of extracting an area of interest from the data record displayed on said signal acquisition device, normalizing the area of interest, creating a filter based upon normalized values of the area of interest and passing the data record through said filter to obtain a correlation curve. Normalization of the area of interest includes obtaining a plurality of points defining the area of interest, calculating the mean of the said plurality of points and subtracting said mean from each of the said plurality of points. Creating the filter includes using the normalized values of the area of interest as coefficients for the filter.

The invention discloses a donor-acceptor distance distribution measuring method based on fluorescence correlation spectroscopy. Fluorescent labeled living cells of donors and acceptors are subjected to a selective donor excitation operation through a fluorescence correlation spectroscopy module of a laser scanning confocal microscope in different laser power. A correlation card acquires photon number fluctuation signals of a donor channel and an acceptor channel to form a self-correlation curve. Energy transfer rate and energy transfer efficiency can be calculated through triplet state analysis of the self-correlation curve of the acceptors. In addition, triplet state distribution of the energy transfer rate and the energy transfer efficiency can be inverted from the self-correlation curve of the triplet state of the acceptors through a maximum entropy algorithm so that donor-to-acceptor distance distribution can be calculated. A fluorescence correlation spectrum analysis method itself is an excellent technology of measuring concentration of a dilute solution, so that the measuring method can be used for measuring donor-acceptor non-paired fluorescence resonance energy transfer efficiency and donor-acceptor non-paired distance distribution after integration items of overlap items of the spectrum being corrected with respect to the donor-acceptor concentration proportion. The measuring method is convenient to use and high in measuring precision.

The invention discloses a method for calculating the consistency of the test data and the analytical data of a test piece. The method comprises the following steps: step 1, selecting a test point on the test piece, performing a static test on the test piece under a preset load condition and obtain the test data of the test point; step 2, obtaining the calculated analytical data of the test piece under the preset load condition; step 3, obtaining a position relation of the test point in the step 1 to the test piece in the step 2, and establishing a corresponding relation table of the test point in the step 1 and the test piece in the step 2; and step 4, drawing a correlation curve chart of calculation and testing by calculating the correlation coefficient, mean-square deviation, relative deviation value and the like of the test data and the analytical data. A structural static analysis method provided by the invention realizes comparative calculation of the test measurement result and the structural analysis result of the test piece, contributes to the improvement of the quality of structural analysis and testing, and provides reference data for structural design.

The invention discloses an on-board GNSS marine reflection signal generation method. Marine reflection signals received by a GNSS receiver are in the form of the superposition of different time-delay reflection signals. Therefore, a time delay correlation curve of the marine reflection signals is formed through the superposition of the correlation curves of different time-delay reflection signals. Based on the above principle, it can be assumed that the amplitude values of n equal-delay-interval reflection signals are figured out based on the approximately fitting method, so that the powers of the reflection signals relative to direct signals can be further figured out. After that, the time delays of the n reflection signals relative to direct signals are figured out. The Doppler frequencies of the direct signals can be directly adopted as the Doppler frequencies of the reflection signals. In this way, the generation of GNSS marine reflection signals is realized based on the factors of time delay, Doppler frequency and power. The above generation method for complicated marine reflection signals is simplified based on the approximately fitting method, so that the simulation of the reflection signals is practicable and feasible. Therefore, the method lays a foundation for the development of GNSS reflection signal simulators.