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Method for detecting anomaly traffic based on feature selection and density peak clustering
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
ActiveCN102968640AAvoid divisionAvoid mergingCharacter and pattern recognitionComputation complexitySynthetic aperture radar
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
ActiveCN105049097AReduce complexityAvoid divisionSpatial transmit diversityComputation complexityDiagonal matrix
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
PendingCN109856488AImprove forecast accuracyHigh precisionElectrical testingCharacter and pattern recognitionTransformerVoltmeter
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
Sound source positioning method suitable for hollow spherical array
InactiveCN106093866AAvoid divisionSolve the problem of weak robustnessPosition fixationComputation complexitySound sources
The invention discloses a sound source positioning method suitable for a hollow spherical array. The method combines the advantages of the hollow spherical array and maximum likelihood estimation and accurately positions a spatial sound source direction by using a maximum likelihood estimation strategy while not influencing a spatial sound field. The sound source positioning method has advantages of (1) reducing computation complexity by converting a signal received by a microphone into a spherical harmonic domain; (2) obtaining high spatial resolution and positioning accuracy by using the maximum likelihood estimation strategy; (3) avoiding division of a spherical Bessel function and solving the poor robustness of the hollow spherical array at a zero-point-corresponding frequency of the spherical Bessel function; (4) achieving direct expansion to a broadband, reducing the expansion complexity of a spherical array broadband positioning algorithm, and being suitable for a reverberant sound field, and (5) being suitable for rigid spherical arrays and spherical arrays using directional microphones, besides the hollow spherical arrays.
Owner:NANJING UNIV
Method for detecting SWR (standing-wave ratio) of PDD (Frequency Division Duplex) LTE (Long Term Evolution) RRU (Remote Radio Unit)
ActiveCN103401624ASolve the problem of false alarm of VSWRReduce the false alarm problem of VSWRResistance/reactance/impedencePropogation channels monitoringControl signalStanding wave ratio
The invention discloses a method for detecting the SWR of a PDD LTE RRU. The method comprises the steps as follows: upper sum feedback link time delays of an RRU downlink plate are measured; for each channel, a CPU controls a front reverse changeover switch to be switched to the forward direction for power counting; an FPGA (field programmable gate array) performs baseband power and forward power counting on corresponding channels according to control signals; firstly, the baseband power is counted, and forward power is counted after the upper sum feedback link time delays of the downlink plate are measured lingeringly; likewise, the CPU controls the front reverse changeover switch to be switched to a reverse direction, reverse power and corresponding baseband power are counted; the CPU calculates a difference value of the forward power and the baseband power corresponding to the reverse power, and new forward power or reverse power is calculated; and the CPU calculates the SWR with the calculated forward power or reverse power.
Owner:WUHAN POST & TELECOMM RES INST CO LTD
Image processing method, image processing device, readable medium and electronic equipment
ActiveCN112202986AReduce logic costLogic cost savingsTelevision system detailsColor television detailsImaging processingComputer science
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
Building recognition method of complex rock fracture model
ActiveCN108090313AStrong geotechnical engineering numerical calculation abilityConvenient meshing functionDesign optimisation/simulationSpecial data processing applicationsLate stageIntermediate stage
The invention relates to a building recognition method of a complex rock fracture model, which is based on ANSYS to import Flac3D via ProE. ANSYS can provide convenient high-quality meshing and Flac3Dhas very great ability to compute geotechnical engineering values, and however, both the two pieces of software have poor modeling capacity and cannot build complex models. ProE that has excellent modeling capacity is used to build a complex model herein in the early stage; ANSYS that has a great mesh processor is used to perform meshing in the middle stage; Flac3D is used to perform analog computation in the late stage. Advantages of the three pieces of software are complemented, their strong points are learned to offset their weak points, error-free linkage of ProE, ANSYS and Flac3D is achieved, great time and efforts that research technicians spend in studying complex FISH language in Flac3D are avoided, and the failure of building and meshing a complex model in geotechnical engineering problems is also avoided.
Owner:NORTHEASTERN UNIV
Method for predicting material thermal conductivity on the basis of finite difference method of three-dimensional image
ActiveCN105160130ASave resourcesSave computing timeSpecial data processing applicationsImaging analysisThermal conductivity measurement
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 partitioning mobile object base on a plurality of gaussian distribution
ActiveCN101231694AEfficient extractionSimple logicImage enhancementImage analysisPattern recognitionData acquisition
Aiming at the problems existing in the prior background differencing that the practicability is bad, the speed is slow, and the accuracy is bad, the invention discloses an improved moving object segmentation method which uses a plurality of Gaussian distributions to construct the background in a video sequence, so as to further segment the foreground, and the method is based on a plurality of Gaussian distributions. The invention also discloses methods for initialization, data collection, pixel value calculation, etc. The invention has the advantages that the speed is fast and the accuracy is high, and is a moving object segmentation method which has very high practical value.
Owner:南京中新赛克科技有限责任公司
Method for analyzing influence of cable parameters of electric drive system on system electromagnetic interference
ActiveCN110378008AAvoid divisionReduce the numberDesign optimisation/simulationSpecial data processing applicationsElectric driveElectromagnetic 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
Real-time enhancement method of low-illumination image
InactiveCN106204469AReduce overheadImprove signal-to-noise ratioImage enhancementImage analysisLow noiseImaging processing
The invention relates to a real-time enhancement method of a low-illumination image and belongs to the embedded image processing technical field. With the method adopted, the problems of low noise reduction instantaneity and low contrast after noise reduction of a low-illumination image in the prior art can be solved. The method is realized based on an image processing unit and a driving signal control unit, wherein the image processing unit and the driving signal control unit are completed by the same FPGA; the driving signal control unit controls a low-luminance camera to carry out output at a highest frame frequency; the image processing unit processes a received original image; and the image processing unit is composed of an energy accumulation module and a histogram equalization module. According to the method, the signal-to-noise ratio of the image is improved through the energy accumulation module, and the contrast of the image is improved through the histogram equalization module. The method has a real-time processing characteristic and can meet requirements of a condition that the low-luminance camera works at 50pfs.
Owner:CHANGCHUN INST OF OPTICS FINE MECHANICS & PHYSICS CHINESE ACAD OF SCI
Novel calibration method for high-precision source-meter integrated measuring equipment
ActiveCN110657833AVoid derivationAvoid divisionElectrical measurementsComplex mathematical operationsOriginal dataComputation process
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
Easily attached magnetic sensor for core field detection
InactiveCN110833405AMeet layout requirementsAvoid installation requirementsDiagnostic recording/measuringSensorsCushionMagnetic field
The invention discloses an easily attached magnetic sensor for core field detection, and relates to the technical field of core field detection. The magnetic sensor comprises a cushion, fixing seats are arranged inside the cushion and distributed in an arrayed manner, soft sleeves are arranged on the inner walls of the fixing seats, fixing sleeves are arranged in the soft sleeves, vertical magnetic sensors are arranged in the fixing sleeves, fixing grooves with L-shaped structures are formed in the middle lower portions of the inner walls of the fixing sleeves, fixing seats matched with the fixing grooves are arranged on the surfaces of the fixing sleeves, the fixing sleeves and the fixing seats are fixedly clamped by the fixing seats and the fixing grooves, breathable grooves with latticed structures are formed in the bottom of the cushion, and indicating lines are vertically arranged at the top of the cushion. The easily attached magnetic sensor for core field detection solves the problems that magnetic sensor mounting time is too long and magnetic sensor fixing positions easily move in core field detection. Detection efficiency is improved, and accuracy of measuring results is ensured.
Owner:CHONGQING UNIV OF ARTS & SCI
Method and device for determining time section of power system and electronic equipment
ActiveCN110135511AHigh precisionAvoid divisionCharacter and pattern recognitionResourcesElectric power systemComputer science
The invention provides a method and device for determining a time section of a power system and electronic equipment, in the technical field of power systems, and can solve the technical problem thatthe accuracy of a similarity result of the time section is low. The method comprises the steps of obtaining a historical time section of a power system; taking the target time section and the time section with the minimum similarity with the target time section in the historical time sections as initial clustering centers respectively, and clustering the historical time sections to obtain a firstcluster corresponding to the first time section and a second cluster corresponding to the second time section; repeating the execution steps: re-determining the center of the second cluster as a thirdtime section, taking the first time section and the third time section as new clustering centers, and clustering the historical time sections to obtain a first cluster corresponding to the first timesection; and screening the plurality of time sections in the first cluster to obtain a section with the highest similarity with the target time section.
Owner:STATE GRID HEBEI ELECTRIC POWER CO LTD +1
Method, device and electronic equipment for determining time section of power system
ActiveCN110135511BHigh precisionAvoid divisionCharacter and pattern recognitionResourcesAlgorithmElectric power system
The present application provides a method, device and electronic equipment for determining a time section of a power system, which relate to the technical field of power systems and can solve the technical problem of low accuracy of the similarity results of the time section. The method includes: obtaining the historical time section of the power system; taking the target time section and the time section with the least similarity with the target time section as the initial clustering centers respectively, and clustering the historical time sections to obtain the first time section The first cluster corresponding to the section and the second cluster corresponding to the second time section; repeat the steps: re-determine the center of the second cluster as the third time section, and use the first time section and the third time section as new cluster centers , clustering the historical time sections to obtain the first cluster corresponding to the first time section; screening multiple time sections in the first cluster to obtain the section with the highest similarity to the target time section.
Owner:STATE GRID HEBEI ELECTRIC POWER CO LTD +1
Hardware architecture and detection method of large-scale mimo linear detection in non-ideal channels
ActiveCN105049097BReduce complexityAvoid divisionRadio transmissionComputation complexityHardware architecture
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 communication reconnaissance simulation method and system suitable for multi-user signals
ActiveCN111682881BAvoid divisionImprove accuracyModulation type identificationData rate detection arrangementsBand-pass filterCarrier signal
The invention discloses a communication reconnaissance simulation method and system suitable for multi-user signals. The method includes: acquiring a plurality of multi-user signals, separating the multi-user signals to obtain an independent user signal of each user; The independent user signals of each user of the user are respectively transformed to obtain the time-frequency relationship table of each independent user signal; based on the time-frequency relationship table corresponding to the independent user signal, the band-pass filter corresponding to the independent user signal is determined; based on the band The pass filter filters the corresponding independent user signal to obtain each sub-carrier frequency signal of the independent user signal; for each independent user signal, the sub-carrier frequency signal is down-converted to obtain the corresponding baseband signal; for each independent user signal The user signal uses the corresponding baseband signal to identify the modulation mode and estimate the symbol rate. The invention can effectively filter out each sub-carrier frequency signal and avoid dividing the same sub-carrier frequency signal into two adjacent channels.
Owner:BEIJING RUNKE GENERAL TECH
SPSA algorithm-based well test interpretation method for fractured well
PendingCN110991045AAvoid partitioning flow regimesAnalytical results are reliableFluid removalDesign optimisation/simulationGeotechnical engineeringHigh dimensional optimization
Owner:CHINA PETROLEUM & CHEM CORP +1
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
LTE uplink frequency domain LS channel estimation fixed-point realization method
ActiveCN103825857AReduce processing timeAvoid divisionMulti-frequency code systemsComputer scienceLeast squares
The invention disclose an LTE uplink frequency domain least-square (LS) channel estimation fixed-point realization method. The method comprises the following steps: S1, carrying out channel estimation on pilot frequency data in a received signal so as to obtain an initial channel response I0; S2, according to the initial channel response I0, generating a channel estimation pre-processing table; and S3, carrying out pre processing on the initial channel response I0 according to the channel estimation pre-processing table so as to obtain a channel response I.
Owner:BEIJING STARPOINT TECH COMPANY
Production die for opened profiles
The invention discloses a production die for opened profiles and relates to the technical field of production of profiles. A cleaver divider is arranged at a lower die inlet end at the center of a graph formed by surrounding of an extrusion hole, and the cleaver divider protrudes out of a plane of the lower die inlet end and stretches into a guide hole of an upper die. The die can effectively propel metal to flow to a place needing to be filled, and can avoid forming of a dead zone caused by accumulation of metal, thus being favorable for profile forming. Since metal accumulation is avoided, stress of a cantilever part of the lower die is relieved to a certain extent, the service life of the die is greatly prolonged, and compared with common dies, the extrusion pressure is reduced to a certain extent, and therefore, the production die is especially suitable for producing opened profiles.
Owner:扬州宏福铝业有限公司
Method capable of improving instantaneity of direct torque control of switching table mode
ActiveCN108111086AReduced execution timeReduce dependenceField acceleration method controlDirect torque controlVoltage vectorVector area
The invention belongs to the technical field of direct torque control of a switching table mode and discloses a method capable of improving the instantaneity of direct torque control of a switching table mode. A stator flux linkage vector component is converted into corresponding components in a 60-degree coordinate system and the number of a sector, in which a stator flux linkage vector is located, in voltage vector area division is firstly judged according to the numerical values of two components; and two small sectors for the flux linkage vector are arranged in each voltage vector sector,the numbers of the small sectors are judged through logical comparison and shift operations according to coordinate component values of the flux linkage vector and the sector in which stator flux linkage is located is determined through the numbers of the small sectors. According to the method, the sector in which the stator flux linkage is located is judged in the 60-degree coordinate system, only simple logic judgment and shift operations are needed and the shift operations are mainly targeted at operations of multiplication by 2 and 0.5 in the algorithm implementation process.
Owner:DONGGUAN UNIV OF TECH
A Method of Predicting Thermal Conductivity of Materials Based on Finite Difference Method of Three-Dimensional Images
ActiveCN105160130BSave resourcesIncrease credibilitySpecial data processing applicationsNODALFinite difference method
Owner:CHINA UNIV OF MINING & TECH
Method for partitioning mobile object base on a plurality of gaussian distribution
ActiveCN101231694BEfficient extractionSimple logicImage enhancementImage analysisPattern recognitionData acquisition
Aiming at the problems existing in the prior background differencing that the practicability is bad, the speed is slow, and the accuracy is bad, the invention discloses an improved moving object segmentation method which uses a plurality of Gaussian distributions to construct the background in a video sequence, so as to further segment the foreground, and the method is based on a plurality of Gaussian distributions. The invention also discloses methods for initialization, data collection, pixel value calculation, etc. The invention has the advantages that the speed is fast and the accuracy ishigh, and is a moving object segmentation method which has very high practical value.
Owner:南京中新赛克科技有限责任公司
A classification and prediction system for Alzheimer's disease based on multi-task learning
ActiveCN111488914BAvoid complex processingImprove classification efficiencyCharacter and pattern recognitionMedical automated diagnosisFeature vectorImaging processing
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
ActiveCN111682881AAvoid divisionImprove accuracyModulation type identificationData rate detection arrangementsBand-pass filterSymbol rate
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
A Method of Improving the Real-time Performance of Switch Table Mode Direct Torque Control
ActiveCN108111086BReduced execution timeReduce dependenceField acceleration method controlDirect torque controlVoltage vectorControl engineering
The invention belongs to the technical field of direct torque control of a switching table mode and discloses a method capable of improving the instantaneity of direct torque control of a switching table mode. A stator flux linkage vector component is converted into corresponding components in a 60-degree coordinate system and the number of a sector, in which a stator flux linkage vector is located, in voltage vector area division is firstly judged according to the numerical values of two components; and two small sectors for the flux linkage vector are arranged in each voltage vector sector,the numbers of the small sectors are judged through logical comparison and shift operations according to coordinate component values of the flux linkage vector and the sector in which stator flux linkage is located is determined through the numbers of the small sectors. According to the method, the sector in which the stator flux linkage is located is judged in the 60-degree coordinate system, only simple logic judgment and shift operations are needed and the shift operations are mainly targeted at operations of multiplication by 2 and 0.5 in the algorithm implementation process.
Owner:DONGGUAN UNIV OF TECH
Digital multi-beam forming method based on multi-domain combination
PendingCN114488207AAvoid complexityImprove calculation accuracySatellite radio beaconingTime domainInterference resistance
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
A Rapid Extraction System of Small Infrared Targets
ActiveCN108875733BQuick extractionImprove computing efficiencyGeometric image transformationCharacter and pattern recognitionImage scaleSmall target
The invention discloses a system for quickly extracting small infrared targets, comprising: an image acquisition module for acquiring an image of a target to be detected; at least one image scaling module connected to the image acquisition module for performing an image acquisition on the image of the target to be detected Narrowing down; the target extraction module is connected to the image scaling module, and is used to extract the target point from the reduced target image to be detected, and extracts the feature value of the target point; the target judgment module is connected to the target extraction module for Judging whether the target point is a target to be extracted according to the feature value, if so, recording the position of the target to be extracted; a data cache module connected to the image acquisition module for storing the image of the target to be detected. The invention adopts an image scaling module to shrink the image of the target to be detected, so that it can be adapted to a preset template, thereby improving calculation efficiency, realizing rapid extraction of small infrared targets, and meeting real-time requirements.
Owner:XIDIAN UNIV
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