57 results about "Peak analysis" patented technology

Apparatus, methods, and computer readable media having computer code for calibrating chromatograms to achieve chromatographic peak shape correction, noise filtering, peak detection, retention time determination, baseline correction, and peak area integration. A method for processing a chromatogram, comprises obtaining at least one actual chromatographic peak shape function from one of an internal standard, an external standard, or an analyte represented in the chromatogram; performing chromatographic peak detection using known peak shape functions with regression analysis; reporting regression coefficients from the regression analysis as one of peak area and peak location; and constructing a calibration curve to relate peak area to known concentrations in the chromatogram. A method for constructing an extracted ion chromatogram, comprises calibrating a low resolution mass spectrometer for both mass and peak shape in profile mode; performing mass spectral peak analysis and reporting both mass locations and integrated peak areas; specifying a mass defect window of interest; summing up all detected peaks with mass defects falling within the specified mass defect window to derive summed intensities; and plotting the summed intensities against time to generate a mass defect filtered chromatogram.

A method of performing mass spectral analysis involving at least one of the isotope satellites of at least one ion, comprising acquiring a measured mass spectral response including at least one of the isotope satellites; constructing a peak component matrix with mass spectral response functions; performing a regression analysis between the acquired mass spectral response and the peak component matrix; and reporting one of statistical measure and regression coefficients from the regression analysis for at least one of mass spectral peak purity assessment, ion charge determination, mass spectral deconvolution, and mass shift compensation. A method for the identification of an ion in a sample through acquired MS scans, comprising obtaining an isotope pattern of an ion; constructing a projection matrix based on the isotope pattern or MS scan; projecting the isotope pattern or MS scan onto the projection matrix to calculate at least one of projection residual and projected data; and performing a statistical test on at least one of the projection residual and projected data to determine if the ion exists in the sample or if there is interference. A method which takes advantage of mass defect or isotope pattern analysis, and software and hardware for implementing all aspects of the invention.

In one embodiment, a music detection (MD) module accumulates sets of one or more frames and performs FFT processing on each set to recover a set of coefficients, each corresponding to a different frequency k. For each frame, the module identifies candidate musical tones by searching for peak values in the set of coefficients. If a coefficient corresponds to a peak, then a variable TONE[k] corresponding to the coefficient is set equal to one. Otherwise, the variable is set equal to zero. For each variable TONE[k] having a value of one, a corresponding accumulator A[k] is increased. Candidate musical tones that are short in duration are filtered out by comparing each accumulator A[k] to a minimum duration threshold. A determination is made as to whether or not music is present based on a number of candidate musical tones and a sum of candidate musical tone durations using a state machine.

The invention provides an accurate target positioning method based on channel state information. According to the method of the invention, channel state information (CSI in short) of a wireless target and a multi-antenna channel gain matrix are acquired. Firstly the channel state information with amplitude lower than a threshold is filtered. Then discontinuous subcarriers are reconstructed for adjusting the phase of the subcarrier to a continuous condition. Then spectral peak analysis is performed on a spatial array signal by means of orthogonality between a signal subspace and a noise subspace, thereby obtaining an angle peak value and an arrival time of the signal. Finally a support vector machine is utilized for classifying the peak values, thereby determining a direct arrival angle from many decisions. For aiming at a defect in processing a multipath problem of a wireless signal, the accurate target positioning method effectively overcomes an influence of a wireless environment multipath effect and provides a new conception based on channel state information positioning.

The invention discloses an energy spectrum overlapping peak analysis method. The analysis method includes the steps that background rejection is carried out on energy spectrum sections which are obtained from radioactive measurement and to be subjected to overlapping peak resolution, and net peak areas of overlapping peaks and all channel net counts corresponding to the net peak areas of the overlapping peaks are obtained; the energy spectrum sections obtained after background rejection are regarded as a linear sum of multiple Gaussian functions; parameters of the Gaussian functions are combined into a chromosome; population initialization is carried out on the combined chromosome, probability construction fitness functions, from individuals, of the energy spectrum sections are combined, selection, cross and mutation operators of a genetic algorithm are adopted, the weight, average and standard deviation of all the Gaussian functions are obtained after multi-generation operation, and overlapping peak resolution is completed. Calculation is simple, the overlapping peaks overlapping three or more spectrum peaks can be resolved, and the overlapping peak resolving method can be effectively applied to qualitative and quantitative analysis for the spectrum peaks and is good in performance.

Disclosed herein are example embodiments of an improved narrative generation system where an analysis service that executes data analysis logic that supports story generation can include configuration-driven analytics, such as at least one of a configuration-driven peaks analytic, a configuration-driven jumps analytic, a configuration-driven runs analytic, and / or a configuration-driven streaks analytic. In an example embodiment, the analysis service can be segregated from an authoring service that executes authoring logic for story generation through an interface. Accordingly, when the authoring service needs analysis from the analysis service, it can invoke the analysis service through the interface. By exposing the analysis service to the authoring service through the shared interface, the details of the logic underlying the analysis service are shielded from the authoring service (and vice versa where the details of the authoring service are shielded from the analysis service). Through parameterization of operating variables, the analysis service can thus be designed as a generalized data analysis service that can operate in a number of different content verticals with respect to a variety of different story types.

The invention discloses a co-elution peak analysis and library searching method based on gas chromatography-mass spectrometry analysis. The co-elution peak analysis and library searching method comprises the steps of firstly, judging whether a peak is an overlap peak of multiple components by peak-shape and peak-purity analysis, namely judging whether the peak is a co-elution peak; secondly, conducting one-to-more matching on a mass spectrogram which is formed by the composition of multiple materials in a library with the mass spectrogram of the co-elution peak and judging the components according to the matching degree; and thirdly, comparing the three-dimensional spectrograms of different samples, conducting one-to-one or one-to-more library searching by aiming at a difference mass spectrogram, thus determining the material differences of the samples and determining the nature of the different components. The co-elution peak analysis and library searching method based on gas chromatography-mass spectrometry analysis can rapidly realize analysis on the co-elution peak and the component difference of different samples.

The invention discloses establishment of an HPLC (High Performance Liquid Chromatography) fingerprint spectrum of rabdosia lophanthide medicinal materials and a fingerprint spectrum of the rabdosia lophanthide medicinal materials, relates to a quality control method of traditional Chinese medicine medicinal materials, and particularly relates to a method for detecting an extracting solution of the rabdosia lophanthide medicinal materials by establishing the HPLC fingerprint spectrum. The method comprises the following steps: preparing a comparison product solution; selecting an extracting solvent and an extracting method; preparing a sample solution; inspecting chromatographic conditions, namely carrying out gradient elution by taking octadecyl bonded silica gel as filler of a chromatographic column, wherein a gradient elution solution is composed of acetonitrile-phosphoric acid with a flowing phase being 0.1%-0.3%, the column temperature is 25-40 DEG C, the ultraviolet detection wavelength is 230-270nm and the time is 100-120min; determining the HPLC fingerprint spectrums of the different types of rabdosia lophanthide medicinal materials; and marking a characteristic peak and selecting a reference peak. By adopting the method disclosed by the invention, the dispute of using rabdosia lophanthide as a medicine base source is solved. Methods including common peak comparison, clustering analysis, characteristic peak analysis and the like of the fingerprint spectrum are comprehensively utilized and are used for identifying the three types of HPLC fingerprint spectrums, so as to realize the base source identification of the rabdosia lophanthide medicinal materials, divide production area classification and provide evidences on quality control and accurate clinical utilization of the rabdosia lophanthide medicinal materials.

A method of performing mass spectral analysis involving at least one of the isotope satellites of at least one ion, comprising acquiring a measured mass spectral response including at least one of the isotope satellites; constructing a peak component matrix with mass spectral response functions; performing a regression analysis between the acquired mass spectral response and the peak component matrix; and reporting one of statistical measure and regression coefficients from the regression analysis for at least one of mass spectral peak purity assessment, ion charge determination, mass spectral deconvolution, and mass shift compensation. A method for the identification of an ion in a sample through acquired MS scans, comprising obtaining an isotope pattern of an ion; constructing a projection matrix based on the isotope pattern or MS scan; projecting the isotope pattern or MS scan onto the projection matrix to calculate at least one of projection residual and projected data; and performing a statistical test on at least one of the projection residual and projected data to determine if the ion exists in the sample or if there is interference. A method which takes advantage of mass defect or isotope pattern analysis, and software and hardware for implementing all aspects of the invention.

In part, the disclosure relates to methods of stent strut detection relative to a side branch region using intravascular data. In one embodiment, detecting stent struts relative to jailed side branches is performed using a scan line-based peak analysis. In one embodiment, false positive determinations relating to stent struts are analyzed using a model strut.

A method is delineated for detecting and locating coronary artery and heart disease comprising the steps of obtaining electrocardiograph (EKG) signals from a patient, modifying the EKG signals, and establishing a base value for use in evaluating modified EKG signals. The step of modifying includes the steps of amplifying the EKG signals, digitizing amplified EKG signals, mathematically modifying the amplified and digitized EKG signals to obtain 12 lead signals in the time domain, and converting the 12 lead signals into power spectrum signals in the frequency domain. The base value is obtained by taking a patient's resting heart rate in beats per minute, converting it to beats per second, and multiplying by a scaling quantity between approximately 3 and 7, inclusively. Then, a first area is calculated by integrating a selected one of the power spectrum signals from zero Hertz to the base value. Similarly, a second area results from integrating the selected power spectrum signal from the base value to infinity. Then, one takes the ratio of the first to second areas to obtain ail evaluation standard indicative of the patient's coronary health. Peak analysis of the power spectrum signals is also available, and a scheme for locating detected heart disease is also provided. Lastly, a system corresponding to the aforementioned methodology is shown.

The invention discloses a mobile phone clapboard sand detection method based on line scanning local peak analysis. The method comprises the following steps: (1) masking a mobile phone clapboard image to obtain an area to be detected; (2) preprocessing the clapboard image by adopting top-hat transformation; (3) analyzing the cross section features of pixel points in different directions in the area to be detected by adopting line segments by means of rotational scanning, and performing binary encoding according to gray level relative strength relationship between the internal pixel points and peripheral pixel points of line scanning adjacent domains to obtain a line scanning response values of the points; (4) calculating the probability measure P<t>m belonging to a local peak value of each point in each direction to obtain a local peak value evaluation map; (5) combining local peak values and pixel gray level information, calculating a matching fraction S<t>(x,y) indicating that a point to be detected belonging to sand to obtain a matching fractional image, and extracting and segmenting mobile phone clapboard residual sands by adopting a dual-threshold processing technology. The mobile phone clapboard sand detection method is insensitive to contrast change, highly sensitive to sand detection, and low in missing detection and error detection rates.

The invention provides a single-cell ATAC-seq data analysis method. The single-cell ATAC-seq data analysis method comprises the following steps: S1, performing data analysis and quality control on sequencing original data; S2, performing comparative analysis; S3, analyzing an insertion fragment; S4, carrying out Peak analysis on the enrichment region; S5, classifying the single-cell subgroups; S6,carrying out annotation and enrichment on the Peak related genes; S7, carrying out TF-motif analysis; S8, carrying out the subgroup accessibility difference analysis; S9, analyzing related genes of the difference accessibility sites, and annotating genes corresponding to the transcription start sites closest to the peak region where the identified difference TF-motif is located, and the like. According to the method, a comprehensive single-cell ATAC-seq data analysis process with rich analysis contents is constructed; the analysis result reveals a large amount of biological information, people can deeply excavate biological phenomena and characteristics contained in the single-cell level conveniently, the analysis process and result are visually displayed in the form of html, the analysiscontent is clear in hierarchy, the result display forms are diversified, and the readability of the report is improved.

In part, the disclosure relates to methods of stent strut detection relative to a side branch region using intravascular data. In one embodiment, detecting stent struts relative to jailed side branches is performed using a scan line-based peak analysis. In one embodiment, false positive determinations relating to stent struts are analyzed using a model strut.

In part, the disclosure relates to methods of stent strut detection relative to a side branch region using intravascular data. In one embodiment, detecting stent struts relative to jailed side branches is performed using a scan line-based peak analysis. In one embodiment, false positive determinations relating to stent struts are analyzed using a model strut.

The invention discloses a graphene fingerprint peak analysis method based on big data analysis. The method comprises the following steps: step 1, resampling m points in any region in q characteristicpeak neighborhoods on a graphene Raman spectrum; step 2, performing p-point fast Fourier transform on the resampled m point characteristic peak neighborhood characteristic spectrums to obtain a characteristic peak neighborhood complex track; step 3, normalizing the amplitude of each obtained complex track according to the maximum amplitude of the complex track; 4, dividing the complex track into aplurality of circles from outside to inside, and defining an identification feature set; 5, establishing a graphene Raman spectrum automatic identification model based on big data; and 6, automatically identifying the graphene Raman spectrum to be identified, and performing defect judgment and layer number judgment according to an identification result. Under the background of big data, graphenesingle-layer / multi-layer or defect-free automatic identification is carried out according to the Raman characteristic spectrum of graphene, so that the identification accuracy and efficiency are improved.

The invention relates to an evaluation method for solving the peak area of a gamma spectrum. The evaluation method comprises the following steps: the theoretically infinitely good energy spectrum of sodium iodide in seawater is simulated through the Monte Carlo method, so that the peak area counting rate of full-energy peaks is obtained; the theoretically infinitely good energy spectrum is subjected to Monte Carlo on-line broadening or off-line broadening, so that an energy spectrum meeting an actual condition can be obtained; and the peak area of the on-line broadened or off-line broadened energy spectrum is solved through Gaussian function fitting, Gaussian and linear substrate combined fitting, direct summation and energy spectrum peak area deduction solving methods. According to the evaluation method, different analysis methods are adopted to solve the total energy peak area of the actual energy spectrum. Results solved by the different methods and the uncertainty of the differentmethods can be compared with theoretically infinitely good energy spectrum, and therefore, the evaluation of the various peak analysis methods is completed; and the energy spectrum simulated based onthe Monte Carlo is used as a standard value, so that the different peak area solving methods can be well evaluated.

The invention relates to a method for processing chromatograms obtained by a process gas chromatograph in a plurality of subsequent measurements of a process stream. To reduce the computational effort and time while maintaining high accuracy, the method comprises collecting a set of chromatograms from a predefined number of subsequent measurements, selecting one of the chromatograms of the set as a reference chromatogram, aligning solely by cross-correlation and shifting each other of the collected chromatograms to the selected chromatogram, performing a multivariate analysis on the aligned chromatograms to extract systematic information, performing, based on the information, a peak analysis on the latest chromatogram of the set and outputting the result of the peak analysis, and for a new measurement, excluding the chromatogram of the oldest measurement from the set of chromatograms, including the chromatogram from the new measurement and continuing with the step of selecting one of the chromatograms of the set as a reference chromatogram

The invention provides a power distribution network equipment reliability analysis method based on multi-system information fusion, and the method comprises the steps: receiving the operation data, collected by a sensor and monitoring equipment arranged on a preset section monitoring station and a maintainer, of all pieces of power distribution equipment, and receiving the self-checking data during the fault self-checking of all pieces of power distribution equipment; performing dynamic data and power utilization peak analysis on each power distribution equipment according to the operation data of each power distribution equipment and the corresponding self-inspection data so as to establish a life curve graph of each power distribution equipment, and determining a life value of each power distribution equipment within a predetermined time range according to the life curve graph of each power distribution equipment; and comparing the service life value of each power distribution equipment with a preset threshold value, and further analyzing the reliability of each power distribution equipment according to a comparison result. By implementing the method, the comprehensive service life of the equipment can be comprehensively evaluated for analyzing the reliability of the power distribution network equipment, and the analysis error can be reduced.

The invention discloses a hydrothermal deposit prospecting method and system based on white mica wavelength change. The method comprises the following steps: acquiring spectral reflection data, drawing a characteristic curve based on the spectral reflection data, performing multi-peak analysis on the characteristic curve to obtain a characteristic absorption peak, and performing multi-peak fitting on the characteristic absorption peak to obtain a characteristic wave peak; and performing parameter calculation on the characteristic wave crest to obtain characteristic wave crest parameter data, and analyzing the characteristic wave crest parameter data to obtain a prospecting result. The method is simple and easy to implement, short in analysis time and capable of rapidly completing data measurement, analysis and application, and cost is reduced.

The invention discloses a demand side off-peak resource management system which comprises an off-peak data preprocessing module, a power consumption behavior analysis module, a refined user power consumption prediction module, an off-peak resource potential analysis module, an off-peak resource scheme arrangement module, a new energy service analysis module and a tramcar service analysis module. The off-peak data preprocessing module provides data drive for other modules; the power consumption behavior analysis module analyzes the power consumption mode and the consumption habit of the user; the refined user power consumption prediction module predicts user power consumption; the off-peak resource potential analysis module obtains the peak shifting potential of the user; the off-peak resource scheme arrangement module obtains a off-peak scheme according to an analysis result of the off-peak analysis module; the new energy service analysis module monitors the new energy data and generates a measurement report according to the new energy cost benefit and the off-peak output value; and the tramcar service analysis module monitors the condition of the tramcar. According to the invention, orderly peak clipping and valley filling are carried out, and the power grid pressure in the peak period of power utilization is reduced.

The invention provides a method for ensuring traditional Chinese medicine quality uniformity through intelligent traditional Chinese medicine fingerprint analysis. The method includes the steps of obtaining potential data of traditional Chinese medicine of all batches through a chromatographic instrument, converting the potential data into fingerprint spectrum bitmap files, loading the files to a fingerprint spectrum list, directly reading component content data generated by a detection device in an internal storage through interface software, showing the data in the form of tables, displaying overlaid fingerprint spectrum bitmaps in a fingerprint spectrum overlaying and displaying module, displaying mean-value fingerprint spectrums through a fusion fingerprint spectrum module, conducting similarity analysis on all the fingerprint spectrum bitmaps through a fingerprint spectrum similarity analysis module, conducting component peak analysis on all the fingerprint spectrums through a component peak / difference peak module, and blending traditional Chinese medicine of all batches through an intelligent Chinese herbal medicine blending and calculating module. A blending scheme calculated through the method is accurate, reliable and repeatable, and efficiency of the calculation method can be multiplied.

The invention relates to the technical field of ore detection and particularly relates to a method for detecting copper ores and copper-containing materials based on an infrared spectroscopy. The method comprises the following steps: (S1) fetching 0.5-1 part of a to-be-detected sample and 140-460 parts of potassium bromide powder in parts by weight, grinding until the particle sizes of sample particles are smaller than 2.5 microns, and uniformly mixing; (S2) carrying out tabletting on the mixed to-be-detected sample, putting the to-be-detected sample into an infrared spectrometer, and carrying out detection, so as to obtain a spectrogram; and (S3) carrying out base line correction, smoothening and standard peak analysis on the spectrogram, indexing the sample spectrogram in a spectrogram database, and primarily determining main compounds in the sample by combining with a characteristic absorption peak. According to the method provided by the invention, imported copper ores and copper-containing materials are identified through the equipment, and the infrared identification technique is applied in the usable smelting slag in the preliminary stage in the mineral product.

The invention discloses a Fourier transform infrared spectroscopy based method for early detection of citrus sarcodactylis anthracnose. The method includes steps: firstly, sampling to obtain experimental materials; secondly, subjecting the experimental materials obtained at the step one to spectrometry; thirdly, subjecting relevant data obtained at the step two to spectrogram characteristic peak analysis to determine whether the related experimental materials are infected with anthracnose or not.

The invention discloses a spectrum peak analysis method and device applied to gas chromatography, the device comprises a data acquisition unit, a baseline noise reduction module, a calibration fitting module and a spectrum peak analysis unit, the data acquisition unit is connected with the baseline noise reduction module, the baseline noise reduction module is connected with the calibration fitting module, the calibration fitting module is connected with the spectrum peak analysis unit, the data acquisition unit comprises an A / D conversion module, a data filtering module and a slave communication module, and the spectrum peak analysis unit comprises a spectrum peak identification module, a baseline correction module and a quantitative analysis module. The method is especially suitable for spectrum peak analysis of a chromatographic curve with much jitter; the detection limit and the repeatability of the detected benzene series are both smaller than the national standard; the accuracy on peak height analysis is relatively high; and the method has adaptability, can accurately identify different curves of different substance components, and also can effectively identify irregular chromatographic curves appearing when substances in air are detected.

The invention discloses a grassland recognition method based on sound wave reflection peak analysis. A motion platform is provided, a processor is arranged in the motion platform; an ultrasonic transmitting module and an ultrasonic receiving module which are connected with the processor and have the characteristic frequency of v are arranged at the bottom of the motion platform; a grassland recognition algorithm is set in the processor; the method comprises the following steps that (1) an ultrasonic transmitting module transmits a set of ultrasonic waves with the frequency being v, after the interval of delta T time, AD sampling is conducted on output signals of an ultrasonic receiving module, the output signals are converted into sampling signals f (n), and the sampling time interval delta t is equal to 1 / (N.v); when the sampling frequency reaches x.N, the sampling process is ended; (2) the maximum value fmax of the sampling signal f (n) is obtained through comparison, and the sampling sequence number is nmax; (3) the peak value sum sigma f = f (nmax) + f (nmax + N) + f (nmax + 2N) +...is calculated; and (5) if the sum sigma f of the peak values is less than K, it is judged to bethe grassland, otherwise, it is not judged to be the grassland.