57 results about "Peak analysis" patented technology

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.

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.

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.

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.