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

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.

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.

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.

The invention discloses a glucose sensor. The glucose sensor comprises a substrate layer and an electrode layer, wherein the electrode layer is arranged on the substrate layer, and a first time detection electrode, a working electrode, a counter electrode and a sample injection detection electrode are arranged on the electrode layer; and the counter electrode is arranged between the working electrode and the sample injection detection electrode. The invention also discloses a glucose measuring method. The invention also discloses a glucose measurement correction method. The hematocrit ratio ofa blood sample is converted according to the time when a whole sample injection channel is filled with blood and a measured current and the time difference delta t between two recorded times, then the glucose current value is corrected and compensated through the hematocrit ratio and the environment temperature measured by the temperature sensor, and finally the glucose value is converted and displayed. The cost of instruments and test paper is greatly saved; and the method has better test accuracy in a wider erythrocyte hematocrit ratio range.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.