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35results about How to "Avoid division" patented technology

Method for detecting anomaly traffic based on feature selection and density peak clustering

ActiveCN105577679ADetection accuracy dropsAvoid divisionTransmissionDensity basedDecision taking
The invention discloses a method for detecting network traffic anomaly based on feature selection and density peak clustering. The method comprises the following stages: a stage of acquiring the traffic: monitoring a network through a network analysis tool, and acquiring monitored data packets in the local; a stage of extracting features: extracting the data packets belonging to the same stream from the data packets, performing feature extraction of the data packets, and normalizing the extracted features; a stage of selecting the features: evaluating the importance of each feature on classification decision by utilizing a maximal information coefficient, simply clustering the features according to the redundancy among the features, selecting one feature having the highest importance, and adding the feature having the highest importance into a feature sub-set; and a stage of clustering and analyzing: clustering the features by adopting an improved clustering method based on a density peak so as to obtain clusters in a plurality of traffic types, performing little sampling of the cluster in each traffic type, performing class detection, and covering the traffic types of the clusters in the whole traffic types by utilizing the modal classified traffic types in a sampled sample, such that the anomaly traffic can be detected.
Owner:EAST CHINA NORMAL UNIV +1

Polarized synthetic aperture radar (SAR) image classification method based on Freeman decomposition and data distribution characteristics

The invention discloses a polarized synthetic aperture radar (SAR) image classification method based on Freeman decomposition and data distribution characteristics and mainly solves the problems of high computation complexity and poor classification effect in the prior art. The polarized SAR image classification method includes step: (1) performing Freeman decomposition for polarized SAR images to be classified to obtain plane scattering power, dihedral angle scattering power and volume scattering power; (2) initially dividing the polarized SAR images into three classes according to the three scattering powers; (3) calculating the distribution characteristic parameter xL of each pixel point in each class; (4) subdividing each of the three initially divided classes into three classes according to the distribution characteristic parameters xL to divide the whole polarized SAR images into nine classes; and (5) performing complex Wishart iteration for the obtained nine-class dividing results to obtain the final classification result. Compared with the typical classification method, the polarized SAR image classification method is rigorous in polarized SAR image dividing, good in classification effect and small in computation complexity and can be applied to terrain classification and object identification of the polarized SAR images.
Owner:XIDIAN UNIV

Large-scale MIMO linear detection hardware framework under non-ideal communication channel, and detection method

The invention discloses a large-scale MIMO linear detection hardware framework under a non-ideal communication channel. A channel response matrix is enabled to sequentially pass through a triangular pulsation multiplication module and a noise addition module, and enters into a three-diagonal inversion module and a three-diagonal multiplication module. The three-diagonal inversion module selects three-diagonal elements in a matrix outputted by the noise addition module to form a three-diagonal matrix, and carries out the inversion calculation of the three-diagonal matrix. The triangular pulsation multiplication module enables the matrix, which is outputted by the noise addition module, after three diagonals are removed to multiply with a three-diagonal inversion matrix obtained from the three-diagonal inversion module. The results of the three-diagonal inversion module are inputted to a three-diagonal addition module, and the results of the three-diagonal multiplication module are inputted to a lower triangular pulsation multiplication module. The three-diagonal addition module and the lower triangular pulsation multiplication module enable a generated matrix to be inputted to a detection module after loop iteration. The framework reduces the hardware complexity, greatly reduces the calculation complexity, and greatly reduces the throughput rate.
Owner:SOUTHEAST UNIV

Transformer state evaluation and fault detection method based on multi-source data fusion

The invention belongs to the technical field of transformer fault type detection, and discloses a transformer state evaluation and fault detection method based on multi-source data fusion. Transformercurrent data are detected by using a current sensor corrected in a cyclic mode based on least square method. A voltmeter improving accuracy based on a remainder splitting algorithm is utilized to detect transformer voltage data. Transformer temperature data are detected by using a temperature sensor. A gas sensor performing temperature compensation based on a standard artificial bee colony algorithm is used for detecting concentration data of transformer fault characteristic gas. A data processing software is utilized to build a transformer fault model, and the transformer fault state is evaluated according to the detected data. An alarm or notification is given in time according to the evaluation results by using an alarm apparatus. The transformer state evaluation and fault detection method adopts a theory of a probability fuzzy set to process and analyze; the fault state of a transformer can be evaluated, the uncertainty of the characteristic value of the fault state of the transformer is reflected, and theoretical guidance is provided for the evaluation of the fault state of the transformer.
Owner:CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY

Image processing method, image processing device, readable medium and electronic equipment

The invention relates to the field of image processing, and discloses an image processing method, an image processing device, a readable medium and electronic equipment. The image processing method comprises the steps of: obtaining a to-be-corrected image shot by a camera of the electronic equipment; calculating a zoom distance between each pixel point on the to-be-corrected image and a brightnessreference point of the to-be-corrected image; determining the correction coefficient of each pixel point based on the relationship between the zoom distance of the camera and the correction coefficient, the pixel points having the same physical distance with the brightness reference points but different brightness have different zoom distances, and the pixel points having the different zoom distances with the brightness reference points have different correction coefficients; and correcting the brightness of each pixel point based on the correction coefficient of each pixel point to obtain acorrected image. Therefore, the pixel points with the same physical distance with the brightness reference point and different brightness in the to-be-corrected image have the same brightness after correction, and the shadow correction effect is improved.
Owner:ARM TECH CHINA CO LTD

Method for predicting material thermal conductivity on the basis of finite difference method of three-dimensional image

The invention discloses a method for predicting material thermal conductivity on the basis of finite difference method of three-dimensional image, and belongs to the method for predicting the material thermal conductivity on the basis of finite difference method. The method has the basic principle: 1) an image analysis method is used for distinguishing different phases or components in the image; 2) a computer language program is used for reading the position and color information of all pixels into a computer memory; 3) each pixel is constructed into a cell element, and the cell element is endowed with the thermal conductivity according to the component to which the cell element belongs; 4) a stable thermal conductivity equation is dispersed, calculating a heat transfer coefficient matrix is calculated, and a calculation equation set is constructed; 5) a temperature field is obtained by the calculation equation set; and 6) the material equivalent thermal conductivity is calculated. The three-dimensional model is adopted to accurately obtain a thermal conductivity result, and the finite difference method is adopted to shorten calculation time and save memory consumption. The whole process is automatically finished, and the method is very practical for the model with a huge node amount.
Owner:CHINA UNIV OF MINING & TECH

Method for analyzing influence of cable parameters of electric drive system on system electromagnetic interference

The invention discloses a method for analyzing the influence of cable parameters of an electric drive system on system electromagnetic interference, and particularly relates to the technical field ofanalysis of the influence of the cable parameters on the system electromagnetic interference, which comprises the following specific analysis steps: S1, modeling the electromagnetic interference of the electric drive system; S2, establishing a system radiation EMI prediction model; sS3, performing multi-coupling simulation on the system based on a field line; S4, analyzing the influence of power cable parameters on electromagnetic interference; and S5, analyzing the influence of the wiring parameters on the crosstalk of the signal lines. According to the invention, the influence of cable parameters on the electromagnetic interference of the system is analyzed through a field line hybrid simulation method. Current distribution replaces a complex cable harness model in three-dimensional full-wave analysis, grid division of actual cable harnesses is avoided, the number of grids of the whole three-dimensional simulation is greatly reduced, the memory requirement is reduced, and the simulation efficiency is improved.
Owner:HUNAN UNIV

Novel calibration method for high-precision source-meter integrated measuring equipment

The invention relates to a calibration method for measuring equipment, in particular to a novel calibration method for high-precision source-meter integrated measuring equipment. The method comprisesthe following steps: acquiring original data; analyzing the obtained original data; carrying out fitting on actually measured values by using an output true value as a fitting object to obtain a calibration coefficient; and with a set value Z as a fitting object, carrying out fitting on an output true value Y to obtain another group of calibration coefficients and carrying out correction by a microprocessor based on the two groups of calibration coefficients and the original data to obtain a calibrated actually measured value and a calibrated set value. According to the invention, the novel calibration method is an efficient fitting method based on a nonlinear least square method; and cubic spline function is selected as a fitting function. Because calculation of an inverse function is notneeded, derivation and division of a Newton iteration method are avoided; and one group of calibration coefficients can be obtained only through six times of multiplication and three times of addition, so that the complex calculation process and a huge calculation amount of an advanced algorithm are not needed.
Owner:湖南银河电气有限公司

Hardware architecture and detection method of large-scale mimo linear detection in non-ideal channels

The invention discloses a large-scale MIMO linear detection hardware framework under a non-ideal communication channel. A channel response matrix is enabled to sequentially pass through a triangular pulsation multiplication module and a noise addition module, and enters into a three-diagonal inversion module and a three-diagonal multiplication module. The three-diagonal inversion module selects three-diagonal elements in a matrix outputted by the noise addition module to form a three-diagonal matrix, and carries out the inversion calculation of the three-diagonal matrix. The triangular pulsation multiplication module enables the matrix, which is outputted by the noise addition module, after three diagonals are removed to multiply with a three-diagonal inversion matrix obtained from the three-diagonal inversion module. The results of the three-diagonal inversion module are inputted to a three-diagonal addition module, and the results of the three-diagonal multiplication module are inputted to a lower triangular pulsation multiplication module. The three-diagonal addition module and the lower triangular pulsation multiplication module enable a generated matrix to be inputted to a detection module after loop iteration. The framework reduces the hardware complexity, greatly reduces the calculation complexity, and greatly reduces the throughput rate.
Owner:SOUTHEAST UNIV

A network abnormal traffic detection method based on pam clustering algorithm

The invention discloses a network abnormal traffic detection method based on a PAM (Partitioning Around Medoids) clustering algorithm. The method comprises a traffic collection stage of monitoring a network to obtain network data packets through a network analysis tool; a feature extraction stage of extracting attributes of the network data packets, and carrying out information entropy calculation on the attributes of the network data packets in a time period, thereby obtaining multiple multi-dimensional data records; a center selection stage of clustering data points of the network data packets by employing the PAM clustering algorithm according to the multi-dimensional data records, and selecting precise clustering centers through approximate clustering after approximate clustering centers are obtained; and an outlier judgment state of setting a threshold value, and screening data points of which precise clustering center distance and partial outlier factors are greater than the threshold value, thereby obtaining outlier abnormal data. According to the method, the improved PAM clustering algorithm is applied to abnormal traffic detection, the advantage that clustering is unnecessarily marked is inherited, moreover, the operation time required by the algorithm is reduced, and the capability of processing more data can be realized.
Owner:EAST CHINA NORMAL UNIV

A Method of Predicting Thermal Conductivity of Materials Based on Finite Difference Method of Three-Dimensional Images

The invention relates to a method for predicting the thermal conductivity of a material based on a finite difference method of a three-dimensional image, which belongs to a method for predicting the thermal conductivity of a material by a difference method, and is specifically a method for predicting the thermal conductivity of a material by using a three-dimensional image of a material combined with a finite difference method. The basic principles are: 1. Use image analysis method to distinguish different phases or components in the image; 2. Use computer language programs to read the position and color information of all pixels into the computer memory; 3. Build each pixel into a A cell is given its thermal conductivity according to its component; 4. Discrete the steady-state heat conduction equation, calculate the heat transfer coefficient matrix, and construct a calculation equation system; 5. Calculate the equation system to obtain the temperature field; 6. Calculate the equivalent heat of the material Conductivity. The invention adopts a three-dimensional model, and can obtain the thermal conductivity result more accurately; adopts a finite difference method, and can save calculation time and memory consumption. The whole process is completed automatically, which is very practical for models with a large number of nodes.
Owner:CHINA UNIV OF MINING & TECH

A classification and prediction system for Alzheimer's disease based on multi-task learning

A classification and prediction system for Alzheimer's disease based on multi-task learning, the invention relates to a classification and prediction system for Alzheimer's disease. The purpose of the present invention is to solve the problem that the existing Alzheimer's disease classification system cannot judge whether an individual with mild cognitive impairment will transform into Alzheimer's disease. Image processing main module, clinical index processing main module, neural network main module, training main module and detection main module; the image processing main module is used to collect head images, preprocess the collected head images, and obtain preprocessed The image after the preprocessing is input into the training main module and the detection main module; the clinical index processing main module is used to select the clinical index, obtain the feature vector of the clinical index, and input the feature vector of the clinical index into the training main module modules and a detection main module; the neural network main module is used to build Alzheimer's disease classification and prediction models. The invention is used in the technical field of intelligent medical detection.
Owner:HARBIN INST OF TECH

Communication reconnaissance simulation method and system suitable for multi-user signals

The invention discloses a communication reconnaissance simulation method and system suitable for multi-user signals, and the method comprises the steps: obtaining a plurality of multi-user signals, separating the plurality of multi-user signals, and obtaining an independent user signal of each user; respectively converting the separated independent user signal of each user to obtain a time-frequency relation table of each independent user signal; determining a band-pass filter corresponding to the independent user signal based on the time-frequency relationship table corresponding to the independent user signal; filtering the corresponding independent user signal based on a band-pass filter to obtain each sub-carrier frequency signal of the independent user signal; for each independent user signal, performing down-conversion on the sub-carrier frequency signal to obtain a corresponding baseband signal; and performing modulation mode identification and symbol rate estimation on each independent user signal by using a corresponding baseband signal. According to the invention, each sub-carrier frequency signal can be effectively filtered, and the same sub-carrier frequency signal is prevented from being divided into two adjacent channels.
Owner:BEIJING RUNKE GENERAL TECH

Digital multi-beam forming method based on multi-domain combination

The invention discloses a digital multi-beam forming method based on multi-domain combination, and the method comprises the steps: carrying out the combined anti-interference through employing a multi-domain combination digital multi-beam technology, carrying out the combined anti-interference through a space-time two-dimensional domain, forming a constraint vector pointing to a satellite according to the coming direction information of the satellite and array popularity, enabling a beam formed after the anti-interference to be aligned with the coming direction of the satellite, and achieving the anti-interference of the satellite. According to the invention, null is formed in an interference direction, protection can be formed in a useful signal coming direction, signal processing gain brought by an antenna array can be utilized while interference suppression is achieved, so that the signal-to-noise ratio of a satellite signal is improved, time domain compensation is carried out by adopting a broadband correction technology, in-band amplitude-phase inconsistency brought by hardware is corrected, and the signal-to-noise ratio of the satellite signal is improved. Therefore, the influence of carrier phase difference between different beams caused by the adoption of a time domain in a space-time multi-beam technology is avoided, the anti-interference performance is improved, the positioning precision of signals after multiple beams is ensured, the requirement for in-band consistency of hardware is reduced, and a space-time multi-beam algorithm is simple and feasible in engineering application.
Owner:CHENGDUSCEON TECH
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