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36results about How to "High correlation coefficient" patented technology

Apparatus and method for correcting location of base station

Disclosed herein is an apparatus and method for correcting the location of a base station. The apparatus includes a data collection unit for receiving collected data including collection places and scan data acquired from the collection places from a collection-only terminal, and receiving scan data having no collection places from a user service terminal. A determination unit obtains correlations between respective base stations based on a number of times each base station in an identical search group is found in a search using the collected data or the scan data, and determines whether a base station has been moved, deleted or added, based on the correlations between respective base stations. A location specification unit specifies a location of the corresponding base station that has changed due to any one of the movement, deletion, and addition of the base station, based on results of the determination.
Owner:ELECTRONICS & TELECOMM RES INST

Method for rapidly predicting 28-day colloidal mortar compression strength of cement

The invention relates to a method for rapidly predicting 28-day colloidal mortar compression strength of cement. In the method, an idea of Netherlands weighted maturity (also known as C value maturity) is adopted; a C value of a foreign cement weighting coefficient is referred to; the temperature measuring process is simplified; a group of colloidal mortar test blocks are formed by utilizing the conventional JC / T 738-2004 cement rapid test equipment; the compression strength in different ages is tested in 48 hours under the condition of hydrothermal curing at the temperature of 55 DEG C; a relation of the weighted maturity and the strength is established; and the 28-day strength of the cement is predicted according to the relation. Research shows that the method for rapidly predicting the 28-day colloidal mortar compression strength of the cement is feasible and effective and has high prediction accuracy on the 28-day strength.
Owner:SHENZHEN UNIV

Low-resolution human face recognition method based on sparse maintaining canonical correlation analysis

The invention provides a low-resolution human face recognition method based on sparse maintaining canonical correlation analysis. The invention combines with the sparsity and canonical correlation analysis idea, and proposes the low-resolution human face recognition method based on sparse maintaining canonical correlation analysis. The method meets the requirements of maximum correlation of the extracted features through employing the canonical correlation analysis idea, achieves the fusion of the high and low resolution human face feature discrimination information, employs the sparsity idea to maintain the structural information, and improves the robustness of high and low resolution human face recognition. The method achieves the effective fusion of the high and low resolution human face feature discrimination information, improves the feature representation and discrimination capability, and meets the requirements of correlation and structural information maintaining.
Owner:SHANDONG UNIV

Method for detecting live stumpage strength nondestructively

The invention discloses a nondestructive measuring method for the intension of a live standing tree. The method includes the steps that: step one, a live standing tree to be measured is selected, and the spread velocity V of a mechanical wave is measured at an area to be measured; step two, a consecutive and integrated tree core with diameter of 3 to 12 mm is taken radially in the area to be measured; step three, the mass of the tree core is weighted and the volume of the tree core is measured on the spot, thereby obtaining the density Rho of the tree core; step four, an elastic modulus Ed is calculated according to the formula that E is equal to V<2>Rho; wherein, the Ed is the elastic modulus of the live standing tree. The invention can perform examination without needing to cut down the live standing tree, not only the detection efficiency is high, but also the detection labor intensity is small.
Owner:INST OF WOOD INDUDTRY CHINESE ACAD OF FORESTRY

Weak transient zero sequence current fault feature extraction method based on PSO (Particle Swarm Optimization)

The invention relates to a weak transient zero sequence current fault feature extraction method based on PSO (Particle Swarm Optimization). The method comprises the steps: firstly setting a potential function parameter as an optimization object, and forming a group through random initialization particles; secondly carrying out the feature extraction of a weak transient zero sequence current through a variable scale bistable state system, and calculating a cross correlation coefficient between an initial current and the current; thirdly taking the maximization of the cross correlation coefficient as a measurement rule of the detection effect of the transient zero sequence current and the basis for parameter optimization selection, and updating particle position and flying speed according to a fitness value; finally stopping updating and outputting an optimal parameter when the number of evolution times reaches a maximum threshold value, and carrying out the feature extraction of the transient zero sequence current under the condition: completing the fault feature extraction if the cross correlation coefficient is greater than 0.85; or else, carrying out optimization again till the cross correlation coefficient is greater than 0.85, which indicates that the fault feature extraction is completed.
Owner:HENAN POLYTECHNIC UNIV

Nearest neighborhood hyper-spectral image classification method based on dictionary and band restructuring

The invention discloses a nearest neighborhood hyper-spectral image classification method based on a dictionary and band restructuring, comprising the following steps: performing L-neighborhood equalization processing on each pixel based on spatial information of a hyper-spectral image; restructuring bands according to the mean value of the pixels of each band and equally dividing the band obtained from restructuring into n sub bands; randomly selecting part of the pixels to constitute a dictionary (the remaining pixels constitute a test sample set), dividing the dictionary and the test sample set into n sub dictionary and sub test sample sets according to sub bands, and making nearest neighborhood decision on the corresponding sub dictionaries to obtain n initial classification maps; and making n-KNN decision to obtain a final result map. The following problems are solved, namely, the classification accuracy is not high, the classification effect is not good, and the time complexity is high and spatial-spectral information combination is not close for an ordinary spatial-spectral combination method. Band restructuring and segmentation is introduced to make multi-band multi-dictionary decision. By adopting a spatial-spectral combination method in classification, a high-precision classification map can be obtained in a short period of time. The method of the invention is high in precision and low in time complexity.
Owner:XIDIAN UNIV

An improved IHS transform remote sensing image fusion method and system

An improved IHS transform remote sensing image fusion method and system comprises the following steps of (1) resampling a multi-spectral image to achieve the resolution of a panchromatic image; (2) performing IHS transformation on the resampled multispectral images to obtain I, H and S components respectively; (3) simulating new panchromatic image; 4) taking that I component image histogram as a reference, matching the new panchromatic image with the histogram to obtain the match panchromatic image Inew; (5) carrying out the inverse IHS transform by replacing I component with Inew component ofthe panchromatic image after histogram matching, so as to complete remote sensing image fusion. The object of the invention is to improve the IHS transform fusion rule, so that the spectrum range ofthe panchromatic image and the multi-spectral image is consistent, and the brightness and contrast of the fusion result are not lower than those before the fusion.
Owner:CHINA CENT FOR RESOURCES SATELLITE DATA & APPL

Sentence similarity assessment method based on deep semantic model and semantic role labeling

The invention relates to a sentence similarity assessment method based on a deep semantic model and semantic role labeling. The method comprises the steps that a text character string is mapped to a feature vector in the low semantic space, and the cosine similarity is used for measuring the similarity between two sentences; an existing semantic role is reserved, and other semantic roles are processed in a unified mode; according to the similarity between predicates, predicate pairing is performed on sentence pairs to obtain predicate matching pairs, and a similar calculated value between semantic roles is further obtained; the multiple semantic roles of each of the multiple predicates of each sentence are subjected to semantic collocation, the semantic role similarity is calculated, the similarity calculated through the deep semantic model and the similarity calculated on the basis of the semantic roles are linearly combined to be adopted as the final sentence similarity. On the basisof the semantic roles, the Pearson's correlation coefficient is increased by 2.226%, and is 0.226% higher than that of the top one result on the SemEval2017 evaluation official website.
Owner:SHENYANG AEROSPACE UNIVERSITY

Method for determining longitudinal wave speed and transverse wave speed of coalbed gas

ActiveCN104516015AHigh correlation coefficientOvercomes the need to presuppose a functional relationshipSeismic signal processingLongitudinal waveClassical mechanics
The invention belongs to an exploration data processing process, and discloses a method for determining a longitudinal wave speed and a transverse wave speed of a coalbed gas. The longitudinal wave speed and the transverse wave speed are obtained after earthquake exploration and logging data is processed, processing is performed on the longitudinal wave speed and the transverse wave speed respectively, average values are enabled to be zero respectively, nominalization processing is performed on the longitudinal wave speed and the transverse wave speed of a certain group, optimum transformation of the longitudinal wave speed and the transverse wave speed are solved, optimum transformation function values are obtained through an iteration, a function relational expression is obtained through regression, and according to the function relational expression, the transverse wave speed or the longitudinal wave speed of other wells or other regions is obtained. According to the invention, the defect is overcome that a conventional multi-element regression method requires a function relation to be assumed in advance, the mutual relation between the longitudinal wave speed and the transverse wave speed of the coalbed gas after the regression can be effectively improved, and the transverse wave speed or the longitudinal wave speed of said other wells or said other regions can be obtained by use of the obtained relation between the transverse wave speed or the longitudinal wave speed and the transverse wave speed.
Owner:BC P INC CHINA NAT PETROLEUM CORP +1

GPS multi-satellite fusion soil humidity monitoring method based on fuzzy entropy

PendingCN111337549AImproved inversion effectOptimal Oscillation Amplitude Fusion ValueMoisture content investigation using microwavesMaterial capacitanceFrequency bandSoil humidity
The invention discloses a GPS multi-satellite fusion soil humidity monitoring method based on fuzzy entropy, and belongs to the technical field of soil humidity measurement. The method comprises the steps: extracting oscillation amplitudes of signal-to-noise ratios of three frequency bands of all satellites from a GPS receiver by using the GNSS-IR technology, performing fusion by using a fuzzy entropy method to obtain an optimal multi-satellite three-frequency oscillation amplitude fusion value, and establishing an inversion model with soil humidity by using the fusion value. According to themethod, the difference and complementarity of GPS multi-satellite three-frequency data are effectively utilized, and the inversion effect is obviously improved compared with that of a single-satellitesingle-frequency method; and the problems in the prior art are solved.
Owner:山东航向电子科技有限公司

Wireless sensor network node positioning method based on compressed sensing theory

The invention provides a wireless sensor network node positioning method based on a compressed sensing theory. Firstly, special information sent by beacon nodes is used for obtaining communication information of all nodes to the beacon nodes; and then a sampling matrix is obtained through the communication information obtained by the utilization of the beacon nodes, compressed communication information is obtained through target nodes, and correlation coefficients of the target nodes and all beacon nodes are obtained through a compressed sensing algorithm. Lastly, a weight coefficient of each beacon node to the target nodes is obtained by using the correlation coefficients, and an estimate position of each target node is obtained by the utilization of a centroiding algorithm. According to the wireless sensor network node positioning method based on the compressed sensing theory, the compressed sensing theory is introduced, and the correlation of the target nodes and the beacon nodes on geographic positions is fully dug. Due to the fact that the wireless sensor network node positioning method based on the compressed sensing theory fulfills four conditions, the wireless sensor network node positioning method based on the compressed sensing theory is reliable, effective, general in application, and suitable for node self-positioning of large scale networks.
Owner:HARBIN ENG UNIV

Indian Ocean dipole index prediction method

The invention relates to the technical field of marine environment parameter calculation, in particular to an Indian Ocean dipole index prediction method. The invention provides an Indian Ocean dipole index prediction method, which comprises the following steps of: obtaining data characteristics at least including wind fields around a specified sea area and ocean-atmosphere information to form a data set for training; inputting the data set into a preset ConvLSTM model for training so as to obtain a prediction model capable of predicting the sea surface temperature of the specified sea area; using the prediction model to obtain the sea surface temperature of the east and west regions (90 DEG E to 110 DEG E, 10 DEG S to 0 DEG C) and the west region (50 DEG E to 70 DEG E, 10 DEG S to 10 DEG N) of the Indian Ocean so as to obtain the sea surface temperature of the east and west regions in a specific time period in the future; and subtracting the average sea surface temperature of the west region from the average sea surface temperature of the east region to obtain the Indian Ocean dipole index.
Owner:OCEAN UNIV OF CHINA

Unitary linear point-by-point analysis method, system and device for standardized residual error test method

The invention provides a unitary linear point-by-point analysis method, system and device for a standardized residual error test method, and the method comprises the steps: S1, building a mathematic model of unitary linear point-by-point analysis, and setting a data group as x1, x2, x3, x4,..., xi, xi+1,..., xyny1, y2, y3, y4,..., yi, yi+1,..., yn, wherein one or two or more unary linear regression straight lines may exist in the data set, and the equation expression of one unary linear regression straight line is set to be yi=a+bx(1-1). According to the invention, the application of a standardized residual error test method for testing abnormal values is extended, a unary linear point-by-point analysis method of the standardized residual error test method is established, and a typical mathematical model is analyzed by utilizing the technology, so that the problem of tedious work of manually completing conductivity titration measurement is solved; and meanwhile, the determination rangeof the conductivity titration analysis is expanded, projects which cannot be subjected to the conductivity titration analysis in the past can be completed by the conductivity titration analysis, andthe characteristics of simplicity, quickness and accuracy of the conductivity titration analysis are truly realized.
Owner:XINJIANG ACADEMY OF AGRI & RECLAMATION SCI

Improved method for preparing inositol inspection inoculant suspension

The invention provides an improved method for preparing an inositol inspection inoculant suspension, which comprises the following steps: A. reviving an inositol inoculant to obtain a revived strain; B. inoculating the revived strain to an inositol determination culture medium solution to obtain an inoculant base solution; C. carrying out absorbance detection on the inoculant base solution, and carrying out subsequent steps on the inoculant base solution with the absorbance of 0.2-0.4; D. putting the inoculant base solution in a sterile centrifuge tube, centrifuging, cleaning, adding 0.9% sterile brine, and shaking and mixing uniformly to prepare a concentrated strain suspension; adding a right amount of concentrated strain suspension into 0.9% sterile brine to control the concentration within the McFarland turbidity of 0.55-0.65, thereby obtaining the inoculant suspension; and E. carrying out inositol content inspection on the inoculant suspension. The inoculant base solution with the absorbance of greater than 0.4 determined in the step C is substituted for the revived strain in the step B to perform the steps B to E again. The method is easy to operate, and has the characteristic of high accuracy.
Owner:GUANGZHOU INST FOR FOOD INSPECTION(GUANGZHOU INSPECTION CENT FOR WINE & SPIRITS)

Weak signal sensing method based on neuron small-world network stochastic resonance

The invention discloses a weak signal sensing method based on neuron small-world network stochastic resonance, and the method comprises the following steps: firstly improving the parameter setting of an FHN neuron calculation model, and changing the traditional condition that membrane potential and recovery variable feature time are set to be the same numerical value for the consideration of simple calculation; enabling the improved parameter setting method to enhance the potential function barrier of the membrane potential, so that the transition probability between potential wells is improved; then constructing an FHN neuron calculation model containing weak signal input and background noise, setting the FHN neuron calculation model as small-world network nodes, and giving and realizing a dynamic synaptic interconnection rule representing the relationship among the nodes; for the output of each node of the small-world network, using a mean value fusion method based on cross correlation coefficients, and subjecting the output of each node of the network to screening and information fusion, so that the performance and robustness of the system are improved, and the weak signal sensing effect in the sense of the small-world network system is obtained.
Owner:HANGZHOU DIANZI UNIV

Method and system for performing peculiar value processing on soil nutrient test data

The invention belongs to the field of peculiar value processing technology and discloses a method and a system for performing peculiar value processing on soil nutrient test data. According to the method for performing peculiar value processing on the soil nutrient test data, a proximal point data comparison method is utilized to perform peculiar value processing on the soil nutrient test data, and advantages and disadvantages of four peculiar value recognition and processing methods, namely a 3-sigma criterion, an estimation neighborhood method, an influence coefficient method and the proximal point data comparison method are subjected to comparative analysis. The result indicates that the proximal point data comparison method achieves a good effect on peculiar value processing performedon the soil nutrient test data and has a positive effect on improving the precision of a geostatistical research result.
Owner:HUBEI UNIV

Application method for artificial intelligence in seasonal load prediction

The invention discloses an application method for artificial intelligence in seasonal load prediction. The application method comprises the steps of: acquiring meteorological load data based on a method class of eliminating trend loads, acquiring a linear trend load function through least square fitting, and subtracting the trend loads from an original load sequence to serve as meteorological loaddata; then performing clustering analysis on the sample data by applying an FCM clustering algorithm so as to obtain three different types of training samples in total; then establishing a temperature correction model, wherein temperature correction needs to be conducted on the highest temperature of the high-temperature weather in consideration of the air temperature accumulation effect of the high-temperature weather in summer; and establishing a PSO-ELM load prediction model, wherein a particle swarm optimization algorithm (PSO) is combined with an extreme learning machine (ELM) to effectively improve the load prediction precision. Thus, an important practical application value is achieved.
Owner:HOHAI UNIV

Blood sampling method and blood sampling pen for intelligently and automatically identifying acupuncture depth

The invention relates to a blood sampling method and blood sampling pen design for intelligently and automatically identifying the acupuncture depth. The blood sampling pen comprises a single-chip-microcomputer control module, a fingertip skin thickness identifying module, a blood volume / body parameter gear selection control module, a key control module, an LCD display module, a blood sampling needle inserting / withdrawing control module and an LED lamp reminding module; the fingertip skin thickness identifying module, the blood volume / body parameter gear selection control module, the key control module, the LCD display module, the blood sampling needle inserting / withdrawing control module and the LED lamp reminding module are connected with the single-chip-microcomputer control module, andan acupuncture-depth algorithm model is internally arranged in the single-chip-microcomputer control module. By means of the blood sampling method and blood sampling pen, the problems that in the prior art, gear adjustment is unsuitable, the pen-pressing fingertip degree is not prone to control, acupuncture needs to be manually triggered, the acupuncture depth is not prone to control, acupunctureis over deep, and pains and fears are brought to persons through multiple times of acupuncture are solved.
Owner:民康医疗科技(天津)有限公司

Lactic acid detection reagent and detection method thereof

The invention discloses a lactic acid detection reagent and a detection method thereof. The detection reagent includes LOD, HRP, ABTS and a buffer solution; the configuration range of a lactic acid detection reaction system is that the ratio of an ABTS solution to an LOD solution to an HRP solution is (2.5-5):(1.4-2.6):(2-5). The detection method includes the following steps that the absorbance value is read through a 430 nm spectrum, the absorbance value is read through a microplate reader, a standard curve is made, and then the lactic acid content in samples can be calculated out through thestandard curve. The content of a large amount of lactic acid can be detected quickly and accurately by using a small number of samples, and meanwhile, the cost of unit sample detection is reduced.
Owner:杭州皓阳生物技术有限公司

Method for correcting plasma emission spectral line self-absorption effect

ActiveCN101750404BSelf-absorption correction achievedImprove performanceAnalysis by thermal excitationSelf-absorptionReference line
The invention discloses a method for correcting plasma emission spectral line self-absorption effect. Based on an internal reference line, the intensity of the plasma emission spectral line after correction is obtained through calculating spectral line self-absorption correction coefficient. The specific steps are: 1) one plasma emission spectral line with self-absorption correction coefficient of one in the plasma emission spectral lines of elements to be analyzed is selected as the internal reference line; 2) the plasma temperature T of the elements to be analyzed is calculated; 3) the spectral line self-absorption correction coefficient of an analytical line is calculated through a self-absorption correction coefficient calculation formula; 4) the intensity of the spectral line of the analytical line is corrected according to the self-absorption correction coefficient of the analytical line; and 5) the steps are repeated, the intensity of the spectral line is cyclically corrected, the corrected intensity of the plasma emission spectral line is finally obtained when the self-absorption correction coefficient of the analytical line reaches the preset accuracy, and the correction of the self-absorption effect is completed. By adopting the method, the invention has the advantages that the plasma temperature is calculated more accurately and the quantitative analysis of the material compositions is conducted more accurately.
Owner:SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI

Improved method for preparation of inoculum suspension for ino-inositol test

The present invention proposes an improved method for preparing an ino-inositol test inoculum suspension, comprising the steps of: A, resuscitating the inoculum inoculum to obtain the resuscitated strain; B, inoculating the resuscitated strain into the culture medium for inositol determination, and obtaining the inoculum Bacteria-based solution; C. The absorbance of the inoculated bacteria-based solution is detected, and the inoculated bacteria-based solution with an absorbance of 0.2 to 0.4 is taken for subsequent steps; D. The inoculated bacteria-based solution is placed in a sterile centrifuge tube, and after centrifugation and cleaning, Add 0.9% sterile saline, oscillate and mix to prepare a concentrated bacterial suspension; select an appropriate amount of concentrated bacterial suspension and add it to 0.9% sterile saline, and control the concentration within the range of 0.55-0.65 McFarland turbidity to obtain the inoculum Suspension; E. Take the inoculum suspension for testing the inositol content. In step C of the present invention, the inoculum base liquid whose absorbance is greater than 0.4 is replaced by the recovered strain in step B, and steps B to E are carried out again. The invention has the characteristics of easy operation and high accuracy.
Owner:GUANGZHOU INST FOR FOOD INSPECTION(GUANGZHOU INSPECTION CENT FOR WINE & SPIRITS)

GEO SAR double-satellite formation configuration design method for coherence tomography

The invention provides a GEO SAR double-satellite formation configuration design method for coherence tomography. According to the method, the orbital parameter of a GEO SAR double-satellite formationmaster satellite and the performance requirements of the coherence tomography are obtained, wherein the orbital parameters of the master satellite comprise a semi-major axis ac, eccentricity ec, an inclination angle ic, an ascending node right ascension omegac, a perigee amplitude angle omegac and a mean anomaly Mc, and the performance requirements of the coherence chromatography comprise height-direction sampling parameters; according to the orbital parameters of the master satellite and the height direction sampling parameters, the orbital parameters of a GEO SAR double-satellite formationslave satellite are determined, wherein the orbital parameters of the slave satellite include a semi-major axis ad, an eccentricity ed, an inclination angle id, an ascending node right ascension omegad, a perigee amplitude angle omega d and a mean anomaly Md. According to the method, a formation GEO SAR vertical baseline can be uniformly changed along with the increase of the number of times of revisit according to a specified interval; an along-orbit baseline of each time of revisit can be minimized; and the correlation coefficient of each time of revisit of main and auxiliary images is improved, so that tomography performance is improved.
Owner:北京理工大学重庆创新中心 +1

Image analyzer and method for measuring linear fractal dimension of granular materials

The invention provides an image analyzer and a method for measuring line fractal dimensions of a granular material, solving the problems that the conventional image analyzer can only obtain two-dimensional image data of the granular material, the line fractal dimensions of the granular material can be only obtained by using power exponents and fractal dimension relationship regression analysis after the two-dimensional image data are processed, and moreover, the regression analysis coefficient is relatively low and the fractal dimension result cannot be directly read. The technical key points are as follows: a data processing system comprises a measuring and control module, a granular image processing module and a line fractal dimensional calculation module, and a method is used in match with the image analyzer. According to the image analyzer and the method, by adding the granular image processing module and the line fractal dimensional calculation module in the measuring and control software of a granular image analysis system, a new granular two-dimensional image outline fractal dimension measurement function is added to the granular image analysis system on the basis of the conventional functions, and the measurement result of the two-dimensional image line fractal dimensions of the granular material can be directly output.
Owner:SHENYANG LIGONG UNIV

Node localization method for wireless sensor network based on compressive sensing theory

The invention provides a wireless sensor network node positioning method based on a compressed sensing theory. Firstly, special information sent by beacon nodes is used for obtaining communication information of all nodes to the beacon nodes; and then a sampling matrix is obtained through the communication information obtained by the utilization of the beacon nodes, compressed communication information is obtained through target nodes, and correlation coefficients of the target nodes and all beacon nodes are obtained through a compressed sensing algorithm. Lastly, a weight coefficient of each beacon node to the target nodes is obtained by using the correlation coefficients, and an estimate position of each target node is obtained by the utilization of a centroiding algorithm. According to the wireless sensor network node positioning method based on the compressed sensing theory, the compressed sensing theory is introduced, and the correlation of the target nodes and the beacon nodes on geographic positions is fully dug. Due to the fact that the wireless sensor network node positioning method based on the compressed sensing theory fulfills four conditions, the wireless sensor network node positioning method based on the compressed sensing theory is reliable, effective, general in application, and suitable for node self-positioning of large scale networks.
Owner:HARBIN ENG UNIV

Feature extraction method of weak transient zero-sequence current fault based on particle swarm optimization

The invention relates to a weak transient zero sequence current fault feature extraction method based on PSO (Particle Swarm Optimization). The method comprises the steps: firstly setting a potential function parameter as an optimization object, and forming a group through random initialization particles; secondly carrying out the feature extraction of a weak transient zero sequence current through a variable scale bistable state system, and calculating a cross correlation coefficient between an initial current and the current; thirdly taking the maximization of the cross correlation coefficient as a measurement rule of the detection effect of the transient zero sequence current and the basis for parameter optimization selection, and updating particle position and flying speed according to a fitness value; finally stopping updating and outputting an optimal parameter when the number of evolution times reaches a maximum threshold value, and carrying out the feature extraction of the transient zero sequence current under the condition: completing the fault feature extraction if the cross correlation coefficient is greater than 0.85; or else, carrying out optimization again till the cross correlation coefficient is greater than 0.85, which indicates that the fault feature extraction is completed.
Owner:HENAN POLYTECHNIC UNIV
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