62results about How to "Improve analysis results" patented technology

This invention provides methods and devices for spatially separating at least first and second components in a sample which in one exemplary embodiment comprises introducing the first and second components into a first microfluidic channel of a microfluidic device in a carrier fluid comprising a spacer electrolyte solution and stacking the first and second components by isotachophoresis between a leading electrolyte solution and a trailing electrolyte solution, wherein the spacer electrolyte solution comprises ions which have an intermediate mobility in an electric field between the mobility of the ions present in the leading and trailing electrolyte solutions and wherein the spacer electrolyte solution comprises at least one of the following spacer ions MOPS, MES, Nonanoic acid, D-Glucuronic acid, Acetylsalicyclic acid, 4-Ethoxybenzoic acid, Glutaric acid, 3-Phenylpropionic acid, Phenoxyacetic acid, Cysteine, hippuric acid, p-hydroxyphenylacetic acid, isopropylmalonic acid, itaconic acid, citraconic acid, 3,5-dimethylbenzoic acid, 2,3-dimethylbenzoic acid, p-hydroxycinnamic acid, and 5-br-2,4-dihydroxybenzoic acid, and wherein the first component comprises a DNA-antibody conjugate and the second component comprises a complex of the DNA-antibody conjugate and an analyte.

This invention provides methods and systems for injection of analytes into a separation channel for resolution and detection. Samples can be preconditioned and concentrated by isotachophoresis (ITP) before the injection is triggered by a detected voltage event. Separation of analytes from other sample constituents can be enhanced using skewing channel ITP.

The invention discloses a high-precision harmonic analysis method improved on the basis of quasi-synchronous discrete Fourier transformation (DFT). The method comprises the step: changing the position of a frequency domain sample according to the drift of signal frequency when harmonic analysis is performed by applying the quasi-synchronous DFT, wherein the position of the frequency domain sample is mu2pi / N, and mu is the drift of the signal frequency, and mu is equal to 1 when the signal frequency does not have the drift. The harmonic analysis method disclosed by the invention comprises thinking: a variable barrier, i.e. the position of the frequency domain sample is changed according to the drift of the signal frequency when the harmonic analysis is performed. The technology disclosed by the invention is beneficial to more accurately obtaining the information, such as the amplitudes, the initial phase angles, the frequencies and the like of all harmonics in the fields of applying the harmonic analysis, such as the fields of power quality monitoring, electronic product production inspection, electric equipment monitoring and the like.

The invention discloses an operating method of a resistive current on-line monitoring system of a metal oxide arrester (MOA). Fundamental wave parameters of a resistive leakage current of the MOA are usually obtained according to a projection method. The method comprises the following steps of: sampling an electric network voltage and an MOA leakage current signal at the same time; acquiring a fundamental wave amplitude value and an initial phase angle of the electric network voltage by using a quasi-synchronization discrete Fourier transformation (DFT) harmonic analysis technology of a variable fence; acquiring the fundamental wave amplitude value and the initial phase angle of the MOA leakage current by using the quasi-synchronization DFT harmonic analysis technology of the variable fence; acquiring a projection angle of a fundamental wave of the leakage current on the fundamental wave of the electric network voltage according to the projection method; and acquiring the fundamental wave of the resistive leakage current of the MOA, and outputting and displaying the fundamental wave. By adoption of the operating method of the resistive current on-line monitoring system of the MOA, the analysis error of the quasi-synchronization DFT harmonic analysis technology is effectively avoided, and a high-accuracy harmonic analysis result is obtained, so that the reliability in test of the resistive current of the MOA based on a harmonic analysis theory is improved.

The invention discloses a working method of an improved high precision medium loss current tester based on quasi-synchronization DFT. The method comprises the following steps: simultaneously sampling a voltage signal V and a current signal I which are applied on a tested piece; applying variable fence quasi-synchronization DFT harmonic wave analysis technology to obtain a fundamental wave phase angle of applied voltage; applying the variable fence quasi-synchronization DFT harmonic wave analysis technology to obtain a fundamental wave initial phase angle of the current signal; calculating dielectric loss tangent according to a formula. According to the working method, an analysis error of the quasi-synchronization DFT harmonic wave analysis technology is effectively improved, a harmonic wave analysis result with high precision is obtained, and reliability of a medium loss current test is raised.

The invention relates to multistage marine water quality stratified sampling equipment and a sampling method thereof. The multistage marine water quality stratified sampling equipment comprises a floating plate, a pay-off device and a sampling device, wherein the floating plate is of a rectangular structure, the pay-off device is installed at the upper end of the floating plate, the sampling device is arranged below the floating plate, and the sampling device is connected with the pay-off device through a steel wire rope. The problems as follows are solved: when the existing equipment is usedfor sampling the ocean water quality, the sampling effect is poor and the sampling is inaccurate, and stratified sampling cannot be effectively carried out on seawater with different depths, which isnot conducive to the study of ocean water quality; and the existing equipment cannot effectively seal the sampled seawater when sampling the ocean water quality, so that the sampled seawater is easilymixed with seawater in areas with different depths, the sample is inaccurate, and the accuracy of a water sample analysis result is influenced.

The invention discloses a harmonic wave analysis method for an electric energy quality harmonic wave analyzer. The harmonic wave analysis method is improved and implemented on the basis of quasi-synchronous discrete Fourier transformation (DFT) and comprises the following steps of: sampling an electric signal X which is needed to be subjected to harmonic wave analysis in a power grid, and sampling (W+2) pieces of sampling point data at equal intervals; in the process of performing harmonic wave analysis by applying quasi-synchronous DFT, changing a frequency domain sampling position according to the drift mu of a signal frequency, wherein the frequency domain sampling position is mu2pi / N; and calculating the amplitude and the initial phase angle of each harmonic wave of the electric signal X, respectively calculating the amplitude percentages and the phase angle differences of amplitudes Pk and fundamental waves P1 of higher harmonic waves of a voltage signal V and a current signal I, outputting and displaying.

The invention discloses a system and a method of coupon payment. The system comprises a coupon management module, a non-contact communicating module, a coupon calculation module and a financial account module, wherein the coupon management module stores coupon data. The non-contact communicating module is configured as follows: reading the coupon data from the coupon management module; receiving original payment amount from the exterior; sending the read coupon data and the original payment amount to the coupon calculation module; acquiring used coupon data and final payment amount from the coupon calculation module; communicating with the financial account module to perform payment treatment according to the final payment amount; communicating with the coupon management module according to the used coupon, so that the coupon management module cannot reuse the used coupon. The coupon calculation module is configured as follows: determining the used coupon according to the coupon data and the original payment amount, and calculating the final payment amount.

The invention relates to a full-view pupil analysis measurement method, comprising: the step 300 of real-time capturing the image data at ocular areas via a video capture card at first to obtain ocular area images; the step 301 of: graying the images captured in the step 300 by means of a method of mean value, a method of extreme value or a method of formula; the step 302 of implementing a binarization treatment on the grayed images in the step 301 by means of a method of histogram, wherein, when the background is largely differed from the target and double peaks appear on the histogram, the lowest valley point at this moment is regarded as a threshold value point; the step 303 of eliminating light reflection at pupil areas of the binarized images; the step 304 of determining a center of the pupil, calculating the diameter of the center, extracting the circle center of the pupil and determining the diameter of the pupil so as to realize tracking measurement of the center of the pupil. The invention is a full-view pupil analysis measurement method that is great in real-time property and convenient in usage.

The invention discloses an advertisement attention analysis method based on statistics theory. The method comprises the following steps of: (1) determining the reading time of the advertisement according to statistics, and storing the reading time and a corresponding advertisement in a smart terminal or a server after binding the reading time with the corresponding advertisement; (2) opening the advertisement information through the smart terminal by a user, adding 1 to the reading times of the advertisement by the smart terminal through a counter, and starting the time; (3) closing the advertisement information by the user, stopping timing, and storing the reading time of the advertisement in the smart terminal or the server corresponding to the advertisement; (4) circulating the steps (2) and (3) within the predetermined statistical time; (5) based on the statistics theory, analyzing the attention of the advertisement by the server via a statistical function. The method, based on the statistics theory, effectively improves the accuracy of the statistical data, and provides truly reliable data support for feedback of the advertisement reading information.

The invention relates to a pulse condition analysis method based on photo plethyamo graphy (PPG) signals and image enhancing. The method includes the following steps of collecting a human face video image, conducting enhancing treatment on the video image to eliminate the influences of low illumination, separating RGB channels of a video, conducting treatment through an ICA algorithm, analyzing the relevance of G channels to obtain PPG pulse wave signals, denoising the noise-containing PPG pulse wave signals, obtaining all feature points of the PPG pulse wave signals, inputting feature valuesof pulse waves into a KNN algorithm to output a pulse condition classification result, comparing the classification result with a standard database, and judging symptoms. By means of the method, a traditional Chinese medicine pulse condition theory and a computer technology are combined, so the objective and quantitative pulse condition analysis can be effectively realized, and the influences of the low-illumination environment on pulse condition analysis during collecting are avoided.

The invention discloses an operating method of an MOA resistive current tester whose resistive leakage current fundamental wave parameter is usually obtained according to a projection method. Concrete process is that: a power grid voltage and an MOA leakage current signal are sampled simultaneously; a variable fence quasi-synchronous DFT harmonic wave analysis technology is applied to acquire a fundamental wave amplitude value V1=sqrt(ak<2>+bk<2>) and an initial phase angle phi V1=tg<-1>(ak / bk) of the power grid voltage; the variable fence quasi-synchronous DFT harmonic wave analysis technology is applied to acquire the fundamental wave amplitude value and the initial phase angle of the MOA leakage current; a projection angle phi=phi I1-phi V1 of the leakage current fundamental wave on the power grid voltage fundamental wave is acquired according to the projection method; and the MOA resistive leakage current fundamental wave IR1=I1cos(phi) is acquired and outputted to display. According to the operating method of the MOA resistive current tester, analysis errors of the quasi-synchronous DFT harmonic wave analysis technology are effectively improved so that harmonic wave analysis results with high precision are obtained and thus reliability of an MOA resistive current test based on the theory of harmonic wave analysis is enhanced.

The invention discloses a harmonic wave analysis method of a power-quality harmonic wave analyzer, wherein the method is improved and realized based on a quasi-synchronization DFT. The harmonic wave analysis method comprises the following steps that an electric signal X on which harmonic wave analysis needs to be performed in a power grid is sampled and W+2 sampling point data is sampled in an equally-spaced mode; when the quasi-synchronization DFT is used to carry out the harmonic wave analysis, a position of frequency domain sampling is changed according to drifting of a signal frequency mu, wherein the frequency domain sampling position satisfies a formula 1. Each harmonic wave amplitude and an initial phase angle of the electric signal X are calculated. And then an amplitude percentage of a higher harmonic wave amplitude Pk and a fundamental wave P1 and a phase angle difference of a voltage signal V and a current signal I are calculated respectively, output and displayed.

The invention discloses a working method of MOA (Metal Oxide Arrester) resistive current tester; the resistive leakage current fundamental wave parameters are acquired normally by a projection method, comprising the following steps of: sampling leakage current signals of power grid voltage and MOA at the same time; acquiring the fundamental wave amplitude value V1=(a<2>k+b<2>k)<1 / 2> and an initial phase angle psi v1=tg<-1>(ak / bk) of the power grid voltage by a changeable fence plesiochronous DFT (Discrete Fourier Transformation) harmonic wave analyzing technology; acquiring the fundamental wave amplitude value I1=(a<2>k+b<2>k)<1 / 2> and initial phase angle psi I1=tg<-1>(ak / bk) of the MOA leakage current by the changeable fence plesiochronous DFT harmonic wave analyzing technology; acquiring the projection angle psi=psi I1-psi v1 of the leakage current fundamental wave on the power grid voltage fundamental wave based on the projection method; acquiring the MOA resistive leakage current fundamental wave I=I1*cos(pis) and outputting and displaying the fundamental wave. The analyzing error of the plesiochronous DFT harmonic wave analyzing technology is effectively reduced and high-precision harmonic wave analyzing result is acquired by the working method of MOA resistive current tester provided by the invention. Consequently, the reliability of MOA resistive current test based on harmonic wave analyzing theory is improved.

The present invention discloses a multifunctional atraumatic pulmonary ventilation and blood flow volume determination apparatus. Said apparatus is equipped with AC constant current source generation device which can convert the constant voltage into constant current and can be connected with an electronic data acquisition device by means of a drive circuit whose output impedance is greater than 30K ohms. The described electronic data acquisition device includes at least six electronic switches and specific arrangement mode of the described electronic switches. Said invention has the advantages of accurate and reliable acquired data, simple determination method and accurate and quick analytical result. Besides, said invention also provides its concrete application range.

The invention discloses a harmonic analysis method of a power quality harmonic analyzer. The harmonic analysis method of the power quality harmonic analyzer is realized through improvement based on a quasi-synchronous DFT. The harmonic analysis method of the power quality harmonic analyzer comprises the steps that an electrical signal X on which harmonic analysis needs to be conducted is sampled in a power grid, and data of W+2 sampling points are sampled at equal intervals; the position for frequency domain sampling is changed according to the drifting Mu a signal frequency, when the harmonic analysis is conducted by means of the quasi-synchronous DFT, namely the position for the frequency domain sampling is Mu2pi / N. According to the harmonic analysis method of the power quality harmonic analyzer, after the amplitude and the initial phase angle of each harmonic wave of the electric signal X are calculated, the percentage and the phase angle difference between the amplitude value Pk of a higher harmonic and the amplitude value of a fundamental harmonic P1 of a voltage signal V and the percentage and the phase angle difference between the amplitude value Pk of a higher harmonic and the amplitude value of a fundamental harmonic P1 of a current signal I are calculated respectively, output and displayed.

The disclosed invention relates subscription based electronic book reading platform for mobile devices. In embodiments, the reading platform may provide recommendations of electronic books to users based on a user's behavior. In embodiments, the reading platform may provide for methods which determine lifetime value of books and payment to content providers within a subscription based electronic book service model. The reading platform may also restrict user access depending on user location or connection.

The invention relates to a multisource real-time land subsidence and horizontal displacement monitoring system and method. The system comprises a reference rod, a master console, a data monitoring module for collecting land subsidence and horizontal displacement data of a monitoring body, and a data analysis module for analyzing the collected data and determining the land subsidence and horizontaldisplacement degree according to an analysis result; the data monitoring module is arranged in the ground where the monitoring body is placed; the reference rod is arranged in a preset reference point; the data monitoring module comprises a static force leveling instrument, a displacement sensor and a radar imaging module; and the reference rod is internally provided with the static force leveling instrument and displacement sensor as reference. According to the system and method , design is reasonable, mutual verification and comparison are realized via the static force leveling instrument,displacement sensor and radar imaging while a traditional ground monitoring technology is used, more comprehensive and accurate land subsidence data can be obtained, and the result can be analyzed andmonitored more reliably.

The invention discloses a harmonic analysis method of a power quality harmonic analyzer, wherein the harmonic analysis method is achieved based on the improvement on the quasi-synchronization DFT. The harmonic analysis method comprises the steps that an electrical signal X on which the harmonic analysis needs to be carried out is sampled in a power grid, and data of W+2 sampling points are sampled at equal intervals; when the harmonic analysis is carried out according to the quasi-synchronization DFT, the position of frequency domain sampling is changed according to the drifting value, seen in the specification, of the signal frequency and then the frequency domain sampling position confirms to the value in the specification; the amplitude, seen in the specification, of all harmonics of the electrical signal X and the initial phase angles, seen in the specification, of the harmonics of the electrical signals X are worked out; the amplitude percentage, seen in the specification, of the amplitude Pk of the higher harmonics of the voltage signal V and the current signal I to the amplitude of the fundamental harmonic P1 is worked out, and the phase angle difference seen in the specification is worked out, and the amplitude percentage and the phase angle difference are output and displayed.

The invention discloses an auto tyre pressure determination method and a device, and the method comprises the following steps: 1) establishing a wheel radius analysis model to obtain a wheel radius estimation value analysis; 2) adopting Kalman filtering to filter the analysis results of the wheel radius estimation value to obtain the analysis results of the wheel radius after denoising; 3) conducting a tyre pressure analysis according to the stable wheel radius analysis results obtained in the step 2). The invention eliminates the noise of the tyre radius analysis by Kalman filtering, which improves the accuracy of the analysis results compared with the existing methods, and may realize the tyre pressure monitoring of air leakage of a plurality of tyres based on the analysis results.

The invention discloses a transformer substation three-dimensional monitoring method and system based on videos, and the method comprises the steps: collecting the internal video image information ofa transformer substation in real time, and building a transformer substation three-dimensional model; if the appearance defects of the equipment are detected, obtaining coordinates of an abnormal partthrough multi-angle positioning of the defective equipment, establishing an equipment three-dimensional model with abnormal appearance according to the obtained abnormal equipment image, and superposing the newly-established equipment three-dimensional model to a corresponding position area of the transformer substation three-dimensional model; if it is detected that the person enters, recognizing the facial features and the appearance features of the person, establishing a human body three-dimensional model with the real face image and the appearance features, and placing the human body three-dimensional model at the corresponding position of the transformer substation three-dimensional model according to the position coordinates of the person. According to the invention, a video analysis result can be added to the three-dimensional model of the transformer substation in real time, so that the timeliness of the three-dimensional model is greatly improved, and an inspector can grasp the operation information of the transformer substation more visually.

The embodiments of the invention provide an acceleration device and method for gene similarity analysis and computer equipment. The acceleration device comprises: a high-speed communication interfacewhich is used for communicating with a host and receiving a to-be-accelerated task distributed by the host; a sequence caching module which is used for caching one or more tasks from a host, wherein each task comprises a plurality of gene sequence data to be subjected to gene similarity analysis; an array processor, which is provided with a processing unit for processing tasks, wherein the processing unit is internally provided with a complete assembly line for processing the tasks based on a data-driven streaming computing mode, and the assembly line is internally provided with a plurality offixed-point computing components required for processing the tasks; a control module, which is configured to be used for distributing the to-be-processed tasks in the sequence caching module to the processing unit; and a task caching module, which is provided with a task caching unit and is used for caching the to-be-processed tasks allocated to the processing unit. With the acceleration device and method in the invention, gene similarity analysis efficiency can be improved, and analysis results can be quickly obtained.

The invention provides a social network evolution analytical method and a social network evolution analytical system for implementing evolution point discovery. The method comprises the following steps: calculating the similarity between two adjacent social networks according to a time sequence; solving a brake point of the similarity according to the calculation result, namely an evolution point; selecting superposition to the social network snapshot between the adjacent brake points to form a social network topological graph in a corresponding time period, wherein, the average distance between the social network topological graph in the corresponding time period and the adjacent brake points is smallest; the social network snapshot is a series of social networks divided according to thesmallest particle size; and clustering and performing correlation analysis according to the social network topological graph. By solving the brake point of the social network similarity, the invention captures the evolution point generating great changes to the development of things in a social network evolution process, and performs topology analysis on the social network in the time period before and after the evolution point, thus accurately and rapidly discovering event occurrence in the network evolution process, disclosing the influence on the network evolution by the events, and improving accurate analytical result.

The invention provides a chromatographic workstation with a fused peak baseline adjusting function. The chromatographic workstation comprises: a starting baseline unit for connecting a starting point and a falling point to form a preparatory baseline; a penetration determining unit for determining whether a baseline penetrates or not, triggering a baseline updating unit if so and triggering a baseline adjusting unit if not; the baseline updating unit for using points from a first end point to a top point in a point-by-point manner as experiment points if a penetrating point exists, and connecting the experiment points and a second end point to form a new preparatory baseline until no baseline penetrates, and triggering the baseline adjusting unit, wherein the first end point is a starting point, the second end point is a falling point and the top point is the top point of a first peak, or the first end point is a falling point, the second end point is a starting point and the top point is the top point of a last peak; and the baseline adjusting unit for using the newly formed preparatory baseline as an adjusted actual baseline. The chromatographic workstation has the advantages of reduction of the error in the quantitative analysis of the fused peak of a sample to be measured, improvement of the accuracy of quantitative analysis, simplicity and labor saving.

The invention relates to a harmonic analysis technology, in particular to a calculation method of a quasi-synchronous DFT amplitude linear correction coefficient. The method comprises the step of calculating linear correction coefficients M and i when a quasi-synchronous DFT linear correction formula shown in the specification is used for carrying out linear correction on harmonic analysis amplitudes of quasi-synchronous DFT, wherein the step of calculating the linear correction coefficients M and beta i comprises that 1, delta u is valued at delta mui at an interval of 0.1 in the range of [-30,30]; L=601 groups of A1k data are generated according to formulae shown in the specification and recorded in the form shown in the specification; 2, a positive integer M is determined to be 10; 3, an array delta is generated according to delta mui and M; 4, according to a formula shown in the specification, B is solved; 5, a mean square error shown in the specification is solved; 6, M value is increased to 20 one by one, the step 3 to the step 5 are repeated, and corresponding G and B are recorded; and 7, M and beta i with the minimum G are the amplitude linear correction coefficient of thequasi-synchronous DFT.

The invention discloses an evaluation method and device for an automatic driving prediction module, and relates to the technical field of automatic driving, and the method comprises the steps: carrying out the multi-level division of scene types, and screening and extracting a target scene segment from to-be-analyzed scene data according to an evaluation demand; determining an evaluation target and subordinate evaluation indexes thereof; constructing a judgment matrix according to the evaluation indexes, and obtaining a comprehensive weight value of each evaluation index to the evaluation target; acquiring historical scene fragment data of the same category as the target scene fragment in the database, and calculating a grey correlation coefficient between each evaluation index and the ideal reference sequence; and according to the comprehensive weight of each evaluation index and the grey correlation coefficient between each evaluation index and the ideal reference sequence, calculating to obtain a comprehensive evaluation value for evaluation of the prediction module. According to the method, the scene data containing multiple fragments can be automatically cut and extracted according to requirements, so that refined extraction and analysis of the scene are realized, and the reliability of an analysis result is effectively improved.