983results about How to "Improve analysis accuracy" patented technology

An integrative analysis system and method of network vulnerability utilizing multiple heterogeneous vulnerability scanners to enhance the accuracy of the network vulnerability analysis are provided. The method comprises a scanning policy setting-up step of setting-up a common scanning policy able to be adapted to the multiple heterogeneous vulnerability scanners and specifying the policy for the respective vulnerability scanners, a vulnerability scanning and result collecting step of performing for the multiple heterogeneous vulnerability scanners to scan, to collect a result thereof, and to store the same in a database and a scanning result integrative analysis step of performing a relevance analysis and an integrative analysis on the scanning results collected, thereby obtaining a complementary vulnerability scanning utilizing multiple heterogeneous vulnerability scanners, enhancing the accuracy and the comprehension of the scanning results, and obtaining a comprehensive vulnerability analysis on a network.

A gas chromatograph having the capability of performing a reliable measurement under a condition that the baseline of a detector output is stabilized, and a breath component analyzer using the same are provided. This gas chromatograph comprises a gas separation column accommodating a member for causing a flow delay depending on gas component; air pump for supplying an air as a carrier gas into the gas separation column; gas supply port formed in a gas flow channel extending between the air pump and the gas separation column, and adapted to supply a subject gas containing a target gas component to be detected into the carrier gas flowing in the gas flow channel; buffer tank provided upstream of the gas supply port; and a detector for detecting the gas component of the subject gas supplied into the gas separation column.

The invention provides a vehicle road load simulation method which comprises the following steps of: 1) complete vehicle modular modeling; 2) complete vehicle modular model validation; 3) complete vehicle model assembly; 4) complete vehicle model validation; 5) establishment of finite element models of enhanced durable roads; 6) model initialization; 7) obtaining of virtual road load result; and 8) comparative validation with physical road load. The invention has the advantages of shortening development time and reducing costs, which is of great significance to vehicle development during the conceptual design phase. During the conceptual design phase of new models, fatigue analysis can be carried out before the design and manufacture process by using a virtual prototype to predict road load so as to truly predict the life of the product, thus greatly reducing great expenses caused by producing prototype machines and testing the fatigue life.

The invention belongs to the technical field of oil gas and coal-bed gas seismic exploration and development, and in particular relates to a reservoir sedimentary evolution analysis method in the exploration and development process. The method is used for providing reliable basic data for optimizing favorable target bed series and zone for oil gas and coal-bed gas exploration and development. In the method, sedimentary characteristics of reservoirs are analyzed by a three-dimensional seismic attribute data body, and high-resolution sequence stratigraphic principle and method, a seismic attribute analysis method and a pattern recognition method are applied; and a K-mean clustering algorithm is adopted, and the analysis process of sedimentary characteristics and sedimentary evolution of a sedimentary formation unit is performed under the control of a sedimentary isochronous interface. The method is used for assisting in reservoir sedimentary evolution research work in the exploration and development process of oil gas including unconventional oil gas, guiding the description of sedimentary characteristics of fine reservoirs of lithologic and stratigraphic trapped oil gas reservoirs, and providing the reliable basic data for optimizing the favorable target bed series and zone for the oil gas and coal-bed gas exploration and development.

The invention discloses a public bank big data service platform based on openstack. The public bank big data service platform comprises a cloud foundation platform, a data platform, an analysis platform and an application layer. A user transmits data to the data platform, the analysis platform performs analysis and mining on the data of the data platform through the cloud foundation platform, and the application layer applies the data of the analysis platform through the cloud foundation platform. The public bank big data service platform can be widely applied to a government, an enterprise and various social organizations, and successful implementation of a project will have an active effect on promoting implementation of the smart city strategy in China.

The embodiments of the invention provide a fault diagnosis method and apparatus for a rolling bearing. The fault diagnosis method for the rolling bearing comprises the following steps: acquiring vibration signals of the rolling bearing, and solving a time-frequency spectrum of the vibration signals; according to the time-frequency spectrum, determining an optimal order component of the vibration signals; according to the optimal order component, performing angle re-sampling on the vibration signals to obtain angle domain signals; and performing envelope analyzing on the angle domain signals, and determining fault positions of the rolling bearing, wherein determination of the optimal order component comprises: setting an equivalent frequency conversion scope and searching for all order components from the time-frequency spectrum; and calculating order energy of the order components and determining the optimal order component from the equivalent frequency conversion scope. The fault diagnosis method and apparatus for the rolling bearing realize automatic and rapid determination of the optimal order component so as to provide a basis for fault diagnosis of the rolling bearing, improve the fault diagnosis accuracy and avoid interference of manual factors.

A swing analysis method of the present invention includes steps of: preparing a radio type acceleration measuring device 4 capable of measuring respective accelerations in three axis directions; mounting the acceleration measuring device 4 to a golf player's body t1; receiving measured data from the acceleration measuring device 4 during a swing through radio communication; and analyzing a golf swing based on the acceleration data. Preferably, the acceleration measuring device is attached to each of two or more portions of the tester t1. Preferably, an attached position of the acceleration measuring device is any part selected from the group consisting of a head, a neck, a shoulder, a back, a waist and a wrist. Preferably, a weight of the acceleration measuring device is equal to or more than 10 g.

The invention relates to a method of quickly segmenting a moving target in a non-restrictive scene based on a full convolution network, which belongs to the technical field of video object segmentation. The method comprises steps: firstly, framing is carried out on the video, and a result after framing is used for making a Ground Truth set S for a sample image; a full convolution neural network trained through a PASCAL VOC standard library is adopted to predict a target in each frame of the video, a deep feature estimator for an image foreground target is acquired, target maximum intra-class likelihood mapping information in all frames is obtained hereby, and initial prediction on the foreground and the background in the video frames is realized; and then, through a Markov random field, deep feature estimators for the foreground and the background are refined, and thus, segmentation on the video foreground moving target in the non-restrictive scene video can be realized. The information of the moving target can be effectively acquired, high-efficiency and accurate segmentation on the moving target can be realized, and the analysis precision of the video foreground-background information is improved.

A streaked pattern image analyzing apparatus for use in an analysis of a fingerprint and the like for aiding in the identification as to whether or not an applied first streaked pattern image matches a second streaked pattern image. The apparatus comprises an image distortion modification unit for modifying data on one of the first streaked pattern image and the second streaked pattern image such that a point on a first streaked pattern image which resides on a skeleton thinned from a streak of the streaked pattern image and having a corresponding point on the second streaked pattern image is brought closer to a point on a skeleton of the second streaked pattern image corresponding to the point, and an image display unit for displaying the streaked pattern image modified by the image distortion modifying unit and the other streaked pattern image.

The invention discloses a system for sorting blocky solid construction waste on the basis of multiple detection modes. The system is provided with one or more sorting units. Each sorting unit comprises a detection and recognition part, a jet part, a sorting part and a real-time detection and control system. Each detection and recognition part is provided with a sensor array and a conveying belt. Each sensor array comprises various sensor components located above and below the corresponding conveying belt. Each real-time detection and control system is used for achieving signal processing of the corresponding sensor array and controlling the corresponding conveying belt and high-pressure air pumps of the corresponding jet part. By judging object physical and chemical properties obtained after signal processing, the construction waste is selectively jetted into different sorting boxes through high-pressure air guns. The construction waste which is subjected to mechanical sorting (involving primary smashing and screening) and has the similar density is differentiated through spectroscopy and a plurality of other physical and chemical characteristic parameters, in this way, sorting of the solid construction waste is achieved. The system has high analytical precision, cost performance and efficiency and is easy to maintain.

The invention discloses a statistics distributed gamma or X ray energy spectrum unscrambling method which solves the problems of poor generality, large workload and poor precision of the traditional method. According to the invention, aiming at a Gaussian part in a gamma or X ray full-energy peak, a plurality of parameters with respective physical significances, which are obtained according to gamma or X ray detection characteristics are established, and solution processes of the parameters are illustrated. The statistics distributed gamma or X ray energy spectrum unscrambling method is technically characterized in that under the condition of stable or unchangeable simulation conditions of a gamma or X ray detector, the parameters are figured out once, and energy spectrum fitting can be carried out form a long time by using the parameters, so that the unscrambling realizing process is simplified and universalized, the defects of variable parameters and insufficient significance in the traditional energy spectrum fitting function or simulation energy spectrum widening function unscrambling method are avoided, and the analysis speed and the analysis precision of gamma or X ray energy spectrum analysis are improved.

The invention discloses a method for detecting harmonic waves of an electric system based on window and interpolated FFT. The method comprises the following steps of obtaining sampling data of detected signals by an analog to digital converter, carrying out an operation of adding Hanning window FFT on the sampling data, searching a peak and an adjacent secondary peak of a spectral line to obtain an interpolation coefficient of a fundamental wave, obtaining the interpolation coefficient of each level of harmonic wave by the interpolation coefficient of the fundamental wave, eliminating the interference of the fundamental wave frequency spectrum to the adjacent harmonic wave frequency spectrum to modify the spectral line of the harmonic wave, and finally obtaining the frequency, the amplitude value and the phase of the fundamental wave and each level of harmonic wave by an interpolation operation. The invention firstly puts forwards that a real spectral line of the harmonic wave can be obtained by eliminating the interference of the fundamental wave frequency spectrum to the adjacent harmonic wave frequency spectrum in the Hanning window FFT spectral line. The scheme of the invention has the advantages of providing the method for detecting the window interpolated FFT harmonic wave with a small calculation amount and high analyzing precision.

The invention discloses an electrocardiogram data analysis method and system, and relates to the field of medical equipment. The method comprises the following steps: by collecting human body electrocardiogram data by virtue of a plurality of leads, acquiring and saving the electrocardiogram data collected by the plurality of the leads within N hours; selecting one of the plurality of the leads, with the minimum interference, as an analysis lead, and analyzing the electrocardiogram data collected by the analysis lead, so as to obtain electrocardiogram waveforms and an electrocardiogram form report within the N hours; examining the electrocardiogram waveforms which are obtained by analyzing the electrocardiogram data collected by the analysis lead to find out the electrocardiogram waveform with waveform quality nonconforming to requirement as well as a corresponding time period; and replacing the electrocardiogram form report with the waveform quality nonconforming to the requirement with the corresponding electrocardiogram form report of the electrocardiogram data collected by other leads within the time period, so that an electrocardiogram form report with analysis precision improved is obtained. The analysis method and the analysis system disclosed by the invention can improve the precision of a dynamic electrocardiogram analysis result.

An audiovisual terminal, an audiovisual authentication system, a method of authenticating audiovisual education, a remote education method, and a recording medium readable with the audiovisual terminal, all suitable for authenticating the actual viewing of education programs, especially to authenticate the actual viewing in remote education. Through the audiovisual terminal, a viewer of an audiovisual program enters a confirmation code which is specific to the audiovisual program and is transmitted to a principal who authenticates viewing of the program, and time information corresponding to the viewing confirmation code. The time information corresponding to the viewing confirmation code is typically a time point at which the code is entered. It may also be a time interval calculated, for example, from the entering time. The audiovisual terminal confirms whether the viewer is actually viewing a remote education program. The time information is stored or transmitted in correspondence with a viewing confirmation code.

The invention belongs to a method of processing and explaining the seismic data in the oil exploration field and is a velocity analysis and NMO correction method of two-parameter converted wave. The method comprises the following steps of: extracting CMP gather and conducting conventional overlap velocity analysis to obtain NMO correction velocity of longitudinal waves; extracting CMP gather of converted waves; with the CMP gather data of the converted waves as input data, conducting initial velocity ratio analysis with a formula (A); with the common shot point gather of the converted wave as input data, conducting common conversion points (CCP) position calculation by using the NMO correction velocity of the longitudinal waves and the initial velocity ratio obtained via analysis so as to extract CCP gather; conducting velocity ratio analysis with the formula (A); conducting NMO correction on CCP gather of the converted waves with a formula (B); extracting CCP gather of final converted waves and converted waves overlap.

The invention relates to an online detection method for a torsion vibration signal of an automotive power transmission system, and belongs to the field of automobile noise and vibration control. In the method, torsion vibration test and analysis are performed on a power transmission system of a running front-engine rear-drive independent suspension type vehicle. A testing disc and a rotating speed sensor are arranged at the tested position of the power transmission system and are used for measuring rotating signals of the power transmission system, performing self-adaptive filtering on the signals, performing time-frequency analysis on the filtered signals, and calculating the torsion vibration frequency of the system. The method is used for performing torsion test and analysis on the acceleration running working conditions of an actual vehicle, particularly the running front-engine rear-drive independent suspension type vehicle without a torsion vibration test rack. The testing disc and the rotating speed sensor are arranged at the tested position of the power transmission system and are used for measuring the rotating signals of the power transmission system, calculating the instantaneous rotating speed through the peak value detection, filtering, and calculating the torsion vibration frequency of the system through the time-frequency analysis of the filtered signals.

The invention provides a novel fast and non-destructive analysis method for the nutritional quality of cottonseed. The method comprises the following steps: 1) selecting whole cottonseeds of representative cotton varieties as experimental samples; 2) using a near-infrared spectrometer to collect near-infrared spectral data of whole cottonseeds, and the spectral scanning range is 800-2500nm; 3) using the national standard method Accurately analyze the nutritional quality of cottonseed; 4) Preprocess the near-infrared spectrum data; 5) Select spectral variables to eliminate non-informative variables; 6) Use the multivariate correction method to establish the near-infrared spectrum of whole cottonseed and the nutritional value of whole cottonseed 7) Performance evaluation of the calibration model; 8) Collect near-infrared spectral data of the whole cottonseed to be tested, and use the calibration model to predict its nutritional quality after preprocessing the spectral data. The invention has fast analysis speed, does not destroy samples, does not require sample pretreatment, has high detection accuracy, and can analyze various nutritional quality components in cotton seeds at the same time, and provides a convenient, fast and efficient analysis method for cotton breeding and cotton seed inspection.

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.

A method for analyzing a financial stock market trend according to this invention is provided, in which a parameter formula is used to form a long-term trend region and an intermediate-term trend region and to analyze a Bull-and-Bear trend in a long period of the financial stock market and in an intermediate period of the financial stock market; a short-term trend is further used to analyze and show a Bull-and-Bear trend in a short period of the financial stock market; finally, according to the long-term trend region, the intermediate-term trend region, and the short-term trend, the trend of financial stock market is forecast, and the uncomplicated, precise method for analyzing the structure of financial stock market trend is provided for a user to heighten his or her profit and lower his or her risk of investment.

A quantitative sampler of pathogens in exhaled air is provided. The quantitative sampler includes an air inputting pipe for a sampled individual to blow exhaled air; a check valve unit for preventing the exhaled air from reversely flowing; an aerosol filtering unit having an aerosol filtering material for collecting aerosol particles in the exhaled air; and an air flow meter for measuring if total accumulated volume of the exhaled air reaches a predetermined sampling volume defined as a concentration denominator of exhaled pathogens. The quantitative sampler can be used to collect the aerosol particles, and then moves the aerosol filtering material out of the aerosol filtering unit followed by separating genetic substances in the aerosol particles from the aerosol filter, so that a real-time qPCR can be reacted by using the genetic substances for obtaining a quantitative concentration of the exhaled pathogens.

The present invention relates to optimization analysis achieving a target value and provides a device, method and program ensuring improved analysis efficiency and analysis accuracy. The device includes an analysis unit (CPU 14), an evaluation unit (CPU 14) and a condition modification unit (CPU 14). The analysis unit executes an analysis with analysis conditions imparted thereto. The evaluation unit evaluates the analysis results. The condition modification unit modifies the analysis conditions imparted to the analysis unit, based on the evaluation results. An optimum solution is thus derived by performing one or more analyses through the modification of the given analysis conditions.

The invention discloses an analytical method of multi-source spectrum fusion water quality. The method takes an ultraviolet/visible absorption spectrum signal and a multi-dimensional fluorescence emission spectrum signal of a water sample to be tested as input, and respectively adopts independent component pretreatment method to extract characteristic signals, remove interference information and obtain characteristic signals of the spectrums. According to the contribution of the characteristic signals of the spectrums to a water quality analyzing model, and aiming at avoiding information hiding, the combined characteristic signal number of the two types of spectrums is determined, the characteristic signals are combined into a spectrum characteristic signal federated data set, and the optimal spectrum configuration combination is solved. Based on an improved support vector machine algorithm, a Boosting method is adopted for modeling, and the optimal spectrum fusion water quality analyzing model is obtained by combining a plurality of modeling results. Based on the spectrum characteristic signal federated data set, the computation model is adopted to compute the comprehensive organic substance pollution index value of the water sample to be tested. The method has the remarkable advantages of high analyzing accuracy, high analysis speed, no pollution of chemical agent, simple operation and maintenance and the like.

The invention relates to a rapid detection method and a detection device for detecting diseases in a tunnel. The detection method comprises the steps of: detecting the lining thickness and a back cavity through an acoustic emission and laser vibration measurement technology; detecting the lining strength and compactness through the laser ultrasonic technology; detecting underground water behind the lining by utilizing an infrared temperature detection technology; detecting the degradation degree of surrounding rock behind the lining by using a laser scanning and inversion technology; and determining the position of the disease by using inertial navigation and image registration technologies. The detection device for detecting diseases in the tunnel comprises an acoustic emission and laservibration measurement module, a laser ultrasonic module, an infrared temperature detection module, a surrounding rock parameter inversion module and the like. The device runs once in the tunnel to obtain the disease features such as lining thickness and the cavity at the back of the lining, the underwater, weakening degree, the concrete degree and the compactness of surrounding rock, and comparedwith the existing inspection technology, the rapid detection method and a detection device have the advantages that the detection efficiency and the identification precision are greatly improved, thedisease positioning is more accurate, and the influence on the normal traffic driving is obviously reduced.