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57results about How to "Wide range of search" patented technology
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Urban target trajectory tracking method
ActiveCN106023253ALow costIncrease flexibilityImage enhancementImage analysisCurve fittingComputer vision
The invention proposes an urban target trajectory tracking method, and the method comprises the following steps: setting an intersection monitoring device; recording road behaviors of a pedestrian; determining a tracked target; and judging the trajectory of the tracked target. The method monitors the pedestrian on a road in real time through a camera at an intersection, carries out the analysis, processing and human face comparison of a video stream transmitted by the camera, obtains a human face target, deduces the walking trajectory of the human face target, and then deduces the disappearance range of the target through curve fitting. The method is low in cost, is high in flexibility, is wide in search range, is high in search accuracy, can be suitable for various types of target tracking application scenes, and provides assistance and support for various departments.
Owner:HANGZHOU ZCITS TECH
Traffic-flow forecasting method, device and system based on wolf-pack algorithm
ActiveCN107085942AImprove search abilityWide range of searchDetection of traffic movementBiological neural network modelsTraffic flowBusiness forecasting
The embodiment of the invention discloses a traffic-flow forecasting method, device and system based on the wolf-pack algorithm. The traffic-flow forecasting method includes the steps that traffic-flow data is obtained; the traffic-flow data is processed through a pre-established wavelet-neural-network traffic-flow forecasting model to obtain the traffic-flow forecasting result, wherein the wavelet-neural-network traffic-flow forecasting model is trained based on the wolf-pack algorithm, and the training process of the pre-established wavelet-neural-network traffic-flow forecasting model is that an initialized wavelet-neural-network parameter is calculated according to historical data and the wolf-pack algorithm; the initialized wavelet-neural-network parameter is trained through a wavelet neural network and the historical data to obtain the wavelet-neural-network traffic-flow forecasting model. According to the traffic-flow forecasting method, device and system based on the wolf-pack algorithm in the embodiment, when traffic flow is forecasted through the wavelet-neural-network traffic-flow forecasting model trained through the initialized wavelet-neural-network parameter obtained based on the wolf-pack algorithm, the forecasting speed and the forecasting accuracy are increased to a certain degree.
Owner:GUANGDONG UNIV OF TECH
Multichannel joint capture method of satellite navigation receiver
ActiveCN102590833AWide range of searchBlind capture (cold start) time shortenedSatellite radio beaconingResource consumptionUniversal asynchronous receiver/transmitter
A multichannel capture method of satellite signals, particularly a multichannel joint capture method of a satellite navigation receiver belongs to the technical field of satellite navigation. The multichannel joint capture method includes building two signal capture systems on the satellite navigation receiver; and performing communication connection by utilizing a universal asynchronous receiver / transmitter (UART), collecting different navigation signals capture information data respectively through the two signal capture systems, and exchanging effective information. The multichannel joint capture method of the satellite navigation receiver has the advantages of wide signal searching range, rapid satellite capture speed, small amount of calculation, and little resource consumption. The blind capture (cold start) time of the receiver is shortened, and the two signal capture systems backup each other so that the reliability of the systems is improved. Rapid recovery of a certain system capture system can be achieved by receiving available satellite information of the other system after reset or restart.
Owner:SPACE STAR TECH CO LTD
Hearing aid self-fitting method
ActiveCN104053112AImprove fitting efficiencyMeet expectationsPhysical therapies and activitiesMedical data miningSound qualityHearing aid
The invention discloses a hearing aid self-fitting method. The method includes the steps that firstly, a knowledge base is established, a historical patient most similar to a current present is found out, and the optimal hearing aid algorithm parameters of the historical patient are obtained; the current patient conducts satisfaction evaluation on the sound quality, the hearing aid algorithm parameters are updated in an iteration mode according to evaluation indexes, and interaction with the knowledge base is conducted; test sounds are generated for the current patient according to the updated hearing aid algorithm parameters until the current patient feels satisfied. The knowledge base is introduced into the hearing aid self-fitting method, the matching range of the hearing aid algorithm parameters is greatly narrowed, and the fitting efficiency of a hearing aid is obviously improved. The expected value of the hearing aid of the current patient is met to the maximum degree due to the fact that the hearing aid algorithm parameters are updated in the iteration mode according to the evaluation indexes, and the accuracy of the hearing aid algorithm parameters is improved.
Owner:南京天悦电子科技有限公司
Unmanned aerial vehicle interception net capture control system and control method
ActiveCN111123983AWide range of searchHigh precisionAircraft componentsDefence devicesControl systemSimulation
The invention discloses an unmanned aerial vehicle interception net capture control system. The system comprises a target searching and tracking module, an interception control module and a net shooting fire control module. The interception net capturing control system can be carried on an unmanned aerial vehicle, autonomously guides, approaches a target and shoots a net bomb after finding the target unmanned aerial vehicle, and drags the target unmanned aerial vehicle to fly back to a base after capturing the target unmanned aerial vehicle. According to the system, a pair of laser radars is used as search sensing equipment. The unmanned aerial vehicle interception net capture control system has the advantages of the wide search range and high precision; the interception control module canautomatically generate an interception route according to the position of the target unmanned aerial vehicle and automatically guide the target unmanned aerial vehicle to approach the target unmannedaerial vehicle, when the target flies into the coverage surface of the net bomb, automatic fire control and net bomb launching can be achieved, the accuracy is good, and additional killing cannot becaused.
Owner:AVIC JINCHENG UNMANNED SYST CO LTD
Multi-focus image fusion method
InactiveCN102509280AFew parametersEasy to controlImage enhancementBiological modelsImaging processingCLARITY
The invention relates to a multi-focus image fusion method and belongs to the field of image processing. An enhanced differential evolution method and an image fusion method of an expansion block selection mechanism are adopted in the multi-focus image fusion process. Compared with a standard differential evolution method, the enhanced differential evolution method is used for judging population after iteration every time according to the sizes of images and interval initial population; one individual is reserved on the premise that all the individuals in the population are the same; the restindividuals are reinitialized and served as a new generation of population together in the corresponding interval by an initialization method of a standard differential evolution algorithm, and localsearch is enhanced, so that the optimal block size of the image is acquired; in addition, when the fitness of image blocks is equal, extension blocks are selected, and the fused image blocks are acquired by comparing. According to the multi-focus image fusion method, the efficiency of searching the optimal block size in the process of the image fusion is improved, and the computational complexityis reduced; and in addition, the clarity of the whole fused image is fully considered in the process of the image fusion.
Owner:CHONGQING UNIV
Method and system for searching and obtaining WAP network address based on speech identifying technique
InactiveCN1905598AEasy to useIncrease call volumeSpecial service for subscribersRadio/inductive link selection arrangementsPasswordNetwork addressing
The invention is a method for searching and obtaining WAP websites based on voice recognition technique, comprising two operations: (1) after dialing a telephone service access code, a user searches WAP websites by talking; a system platform can make website searching by key words, WAP SP name, WAP service name, WAP service class, and system's recommendation or hot recommendation according to user password and transmits the final searching results to user cellphone terminal in WAP PUSH mode; (2) WAP SP connects through WEB website management module to voice searching platform of WAP websites to make WAP website adding, viewing, deleting and updating operations. And the system structure is simple, and it can implement WAP website searching and push only by adding a service platform instead of upgrading user terminal equipment. Thus, a user can truly connect to Internet at any time and any place.
Owner:BEIJING UNIV OF POSTS & TELECOMM +1
Method and device for querying contact people
InactiveCN104244223AThe resolution is not accurate enoughHigh precisionData processing applicationsSubstation equipmentComputer scienceContact number
The invention discloses a method and device for querying contact people. The method comprises the steps that address lists of users are obtained, wherein the address list of each user comprises one or more contact persons of the user and corresponding contact numbers; after a query request sent by a query person is received, a to-be-queried person with the association degree of the query person reaching to an appointed threshold is checked in the address lists of the users; the contact number of the to-be-queried person is sent to the query person. The method and device solve the problem that in the related technologies, the precision of the operation that the query person acquires the contact people is not high enough. The search range of the contact people is wider, the precision is higher, positioning is more accurate, and the scheme is easy to operate and suitable for mass groups.
Owner:ZTE CORP
Ultrasonic echo signal extraction method based on multi-scale matching tracking
ActiveCN109632973AThe method steps are simpleReasonable designProcessing detected response signalGabor atomSonification
The invention discloses an ultrasonic echo signal extraction method based on multi-scale matching tracking. The method comprises the following steps: step one, ultrasonic echo signal acquisition and synchronous uploading; step two, time frequency parameter value range compression: compressing value ranges of time frequency parameters of a Garbo atom used for performing sparse decomposition on a to-be-processed signal f(t) by adopting the data processing equipment, wherein the time frequency parameters comprise a scale parameter, a displacement parameter, a frequency parameter and a phase parameter; step three, signal extraction as follows: step 301, signal sparse decomposition based on optimization algorithm; and step 302, signal reconstruction. The method disclosed by the invention is simple in step, reasonable in design, convenient for realization, and good in use effect; the value range of each parameter in the time frequency parameters is compressed, and then the optimal matching atom is searched by adopting the signal sparse decomposition method based on the optimization algorithm, the signal extraction speed can be greatly accelerated, and the signal extraction precision canbe effectively improved.
Owner:XIAN UNIV OF SCI & TECH
Signal dedrying method based on time-frequency analysis
ActiveCN109682892AThe method steps are simpleReasonable designProcessing detected response signalArtificial lifeDecompositionTime–frequency analysis
The invention discloses a signal dedrying method based on time-frequency analysis. The method comprises the steps that 1, a to-be-processed signal is synchronously stored; 2, signal dedrying is conducted, wherein data processing equipment is adopted for dedrying the to-be-processed signal f(t), the process comprises the substeps that 201, signal sparse decomposition based on an optimization algorithm is conducted; when the data processing equipment is adopted for seeking psirn(t), and the time-frequency parameter rn is sought through the following processes of C1, time-frequency parameter optimization; C2, optimal time-frequency parameter determination; 202, signal reconstruction is conducted. The method is simple in step, reasonable in design, convenient to implement and good use effect,a signal sparse decomposition method based on the optimization algorithm is adopted for seeking the optimal matching atom, and meanwhile a fitness value and sparsity are combined for determining the optimal matching atom; the signal dedrying speed can be greatly increased, the dedrying effect can be effectively improved, and the accuracy of the signal obtained after dedrying is guaranteed.
Owner:XIAN UNIV OF SCI & TECH
Fast pattern searching
ActiveUS7142718B2Fast ratioRapid scalingCharacter and pattern recognitionPattern recognitionImage resolution
An accumulation transformation method for fast pattern search accurately locates general patterns of interest. The method can be used for fast invariant search to match patterns of interest in images where the searched pattern varies in size or orientation or aspect ratio, when pattern appearance is degraded, when the pattern is partially occluded, where the searched image is large, multidimensional, or very high resolution, or where the pattern size is large. The accumulation transformations of the input image are determined based upon the searched projection directions. Projection profile result images are derived from the accumulation transformed input image and used for fast matching with template pattern projection profiles.
Owner:NIKON CORP
Internet-based education consultation service system
InactiveCN108053345AEasy to retrieve informationImprove interactivityData processing applicationsElectrical appliancesKeyword extractionDatabase retrieval
The invention discloses an internet-based education consultation service system. The system comprises a user terminal, a server and a background terminal, wherein the user terminal is connected with the server; the server is connected with the background terminal; the user terminal comprises a user registration module; the user registration module comprises a name, gender, age, a job and contact information; the server comprises an online question-asking unit, an online answer unit and a database retrieval unit; and the background terminal comprises a keyword extraction unit, a service database, an internet connection unit, an online staff answer module and a data sorting unit. The system is simple and reasonable in structure design and convenient in operation; the consultation of people is facilitated; the interactivity between people is enhanced; and the retrieval efficiency is improved.
Owner:广州黑曜石科技有限公司
Traffic flow evacuation time estimation method
InactiveCN105243431AImprove accuracyOvercome the shortcomings of incomplete considerationForecastingUnexpected eventsTraffic flow
The invention discloses a traffic flow evacuation time estimation method, which mainly solves problems that discreteness of an evacuation vehicle scale and randomness of road section non-evacuation flow are not fully considered when the evacuation time is estimated in the prior art. The method of the technical scheme comprises steps: firstly, a current road condition is judged through congestion detection algorithm, when the road is judged to be in a congestion state, an evacuation strategy selection model is built according to the current road traffic flow, and the objective function of the model uses the shortest evacuation time as a principle and uses basic requirements that the traffic flow in each branch in a road network needs to be balanced as constraint conditions; and then, ant colony algorithm is used for solving the model, and the shortest evacuation time and the longest evacuation time for the current congestion state are obtained. The method of the invention can accurately estimate the needed time for evacuating vehicles when traffic congestion happens, effective information is provided for vehicles yet to come, a theoretical basis is provided for correct traffic commanding by a traffic management department, harms caused by emergent events are reduced to the minimal as much as possible, and the method can be used for traffic management for the urban road network.
Owner:XIDIAN UNIV
Airplane search and rescue method
ActiveCN106681342AImprove search efficiencyWide range of searchAttitude controlPosition/course control in three dimensionsLongitudeSearch and rescue
The present invention relates to an airplane search and rescue method. The method comprises the following steps: 1, calculating the optimal searching width W of the search and rescue according to the expected search success probability Q; 2, determining a search mode according to the relation of the optimal search width W and the minimum turning radius Rmin of an airplane; 3, calculating the coordinates of each turning point in a search area according to the optimal searching width obtained in the step 1, the search mode obtained in the step 2, the search boundary point obtained in the step 3 and turning reference points, wherein all the turning points are located below one of the turning reference points, namely the turning points and the turning reference points have the longitude; and 4, performing flight search and rescue according to the points of penetration and the turning points. The airplane search and rescue method performs search and rescue and flight route planning of a search area in a grid-shaped search mode to clear the key navigation parameters such as the coordinates of the point of penetration of the flight route and the coordinates of the turning points so as to make a feasible flight route for an airplane and reduce the areas of repeating search and omission search.
Owner:中航通飞华南飞机工业有限公司
Defect detecting method based on ultrasonic flaw detection
ActiveCN109507304AThe method steps are simpleReasonable designProcessing detected response signalSonificationBlind signal separation
The invention discloses a defect detecting method based on ultrasonic flaw detection. The method comprises the following steps: 1, acquiring an ultrasonic echo signal and uploading the ultrasonic echosignal synchronously; 2, determining wave crests and wave troughs; 3, eliminating extreme points; 4, dividing the signal: determining a time interval between every two adjacent extreme points, judging dividing points, determining sampling moments of the dividing points, judging signal division, sorting the dividing points and dividing the signal; 5, judging signal separation and performing signalseparation; and 6, identifying a defect. The method is simple in steps, reasonable in design, convenient to implement and good in using effect; the judgment of the dividing points and the determination of the sampling moments of the dividing points are achieved by performing threshold judgment on the time interval between every two adjacent extreme points, and the ultrasonic echo signal is divided; then signal separation judgment and signal separation are respectively performed on every divided signal, and independent ultrasonic echo signals at multiple defect positions in the same ultrasonicecho signal can be quickly and accurately identified.
Owner:XIAN UNIV OF SCI & TECH
Webpage timeliness obtaining method for temporal consistency constraint determination
PendingCN112084452AHigh precisionImprove reliabilityWeb data indexingNatural language data processingEngineeringData science
According to the webpage timeliness obtaining method for temporal consistency constraint determination, based on webpage timeliness, a temporal inconsistency intelligent recognition system of a network temporal model is provided, and comprises the construction of the network temporal model, a temporal inconsistency constraint system determination system and a temporal inconsistency intelligent recognition method based on the network temporal model. On the basis of an internal search engine, a webpage release time obtaining method based on an analytic hierarchy process model is provided, timeliness sorting is conducted on search results of the search engine through webpage release time, and timeliness retrieval is achieved. Further, the webpage timeliness is analyzed from the perspective ofwebpage content time, the positions where the time phrases possibly appear are all marked, it is guaranteed that the time phrases are extracted more sufficiently, the webpage timeliness obtaining intelligent degree is high, and the speed is high. Experiments prove that the result of the method for obtaining the webpage release time is efficient and accurate, and the retrieval result of the searchengine meets the timeliness requirement of the user.
Owner:扆亮海
Flight searching method and device, electronic equipment and readable storage medium
ActiveCN109614406AWide range of searchEnrich search resultsDigital data information retrievalSpecial data processing applicationsComputer scienceTicket price
The invention provides a flight searching method and device, electronic equipment and a readable storage medium, so as to optimize the class search method in the related technology. The class searching method provided by the embodiment of the invention comprises the following steps: obtaining a plurality of pieces of ticket price information from a departure place to a destination according to thedeparture place and the destination in a searching request; extracting transfer place information or direct information contained in each piece of ticket price information in the plurality of piecesof ticket price information; for the ticket price information including transfer place information in the plurality of pieces of ticket price information, obtaining a shift combination corresponding to the ticket price information, and for the ticket price information including direct information in the plurality of pieces of ticket price information, obtaining a direct shift corresponding to theticket price information; and in response to the search request, outputting a class combination or a direct class corresponding to each of the plurality of pieces of ticket price information.
Owner:BEIJING SANKUAI ONLINE TECH CO LTD
Vision-based multi-sensor fusion intelligent epidemic prevention robot and system
ActiveCN113084776AImprove obstacle avoidanceImprove path planning capabilitiesProgramme-controlled manipulatorSensing radiation from moving bodiesRotational axisDrive wheel
The invention relates to a vision-based multi-sensor fusion intelligent epidemic prevention robot and a system. The vision-based multi-sensor fusion intelligent epidemic prevention robot comprises a robot upper cover and a robot main body which are arranged with one under the other, a rotating shaft and a rotating motor for driving the rotating shaft are arranged in the robot main body, a through hole for the rotating shaft to penetrate through is formed in the center of the robot upper cover, a sensor box is fixed at one end, penetrating through the through hole, of the rotating shaft, and an infrared camera and a high-definition camera are arranged on the sensor box; a depth camera, a monocular camera and a loudspeaker are arranged on the robot upper cover, and two driving wheels and two universal wheels are arranged below the robot main body; a control system is arranged in the robot main body; and the infrared camera, the high-definition camera, the depth camera, the monocular camera, the loudspeaker and the driving wheels are all connected with the control system. Compared with the prior art, the vision-based multi-sensor fusion intelligent epidemic prevention robot has the advantages that the capability of identifying and tracking the fever personnel is higher, and so on.
Owner:SHANGHAI UNIV OF ENG SCI
An ultrasonic signal receiving and processing method based on signal section segmentation
ActiveCN109711333AThe method steps are simpleReasonable designAnalysing solids using sonic/ultrasonic/infrasonic wavesProcessing detected response signalSonificationComputer science
The invention discloses an ultrasonic signal receiving and processing method based on signal section segmentation. The ultrasonic signal receiving and processing method comprises the following steps:1, acquiring and synchronously uploading and receiving an ultrasonic echo signal; 2, determining wave crests and wave troughs; 3, removing extreme points; wherein a data processing device is adopted to segment the ultrasonic echo signal F (t), and the process comprises the following steps that 401, the time interval of adjacent extreme points is determined; 402, judging a segmentation point and determining the sampling time of the segmentation point; 403, performing signal segmentation judgment; 404, sorting the segmentation points; 405, signal segmentation. The method is simple in step, reasonable in design, convenient to implement and good in using effect, segmentation point judgment and segmentation point sampling time determination are achieved by conducting threshold judgment on the time interval of the adjacent extreme points, and ultrasonic echo signals are segmented according to the determined number of segmentation points and the sampling time of all the segmentation points.
Owner:XIAN UNIV OF SCI & TECH
Method for defense of central information processing system of smart distribution grid
InactiveCN103957206AImprove the ability to resist external malicious attacksGuaranteed safe operationCircuit arrangementsTransmissionInformation processingAttack
The invention discloses a method for defense of a smart distribution grid. The method for defense of the smart distribution grid comprises the steps that (1) a central information processing system is initialized; (2) an n-unknown Boolean function f (x) and the constraint conditions of the algebraic immunity and the function non-linearity degree are set; (3) the potential energy difference and the total energy difference of the n-unknown Boolean function f (x) and a new function f'(x) are calculated, wherein the total energy is the sum of potential energy and kinetic energy; (4) whether an inner loop iteration factor i is larger than the number N of times of inner loop iteration or not is judged, if yes, the step (5) is executed, and if not, i=i+1, and the step (1) is executed; (5) annealing is conducted on the central information processing system; (6) when the potential energy Hpot of the n-unknown Boolean function f (x) reaches a set potential energy value, namely, the magnetic field intensity (please see the symbol in the specification) is equal to zero, and then the globally optimal solution of the Boolean function is obtained. By the adoption of the method for defense of the smart distribution grid, global optimum is achieved through the characteristics of self quantum fluctuation, the search efficiency is high, the ability of the smart distribution grid to defend external hostile attack can be improved, and efficient and safe communication of the smart distribution grid is achieved.
Owner:SHANGHAI UNIV
Signal extraction method
ActiveCN109507292AThe method steps are simpleReasonable designAnalysing solids using sonic/ultrasonic/infrasonic wavesDecompositionGreek letter epsilon
The invention discloses a signal extraction method. The signal extraction method comprises the following steps: 1, synchronously storing to-be-processed signals; 2, processing the to-be-processed signals: processing the to-be-processed signal f(t) by using data processing equipment, wherein the process comprises the following steps: 201, performing signal sparse decomposition based on an optimization algorithm; 202, performing residual amount judgment: judging whether ||R<m>(t)||2 obtained after signal sparse decomposition is less than epsilon or not, and if the ||R<m>(t)||2 is greater than orequal to epsilon, entering the step 203, otherwise, entering the step 204; 203, performing best matching atom optimization; 204, performing signal reconstruction. The method is simple in step, reasonable in design, convenient to implement and good in use effect; the best matching atom is searched according to a signal sparse decomposition method based on the optimization algorithm, the signal extraction precision is judged through residual amount judgment, and best matching atom optimization is conducted according to the judgment result, so that the signal extraction speed can be greatly increased and the signal extraction precision can be effectively improved.
Owner:XIAN UNIV OF SCI & TECH
Self-adaptive GRNN estimation method for health state of lithium ion battery of electric vehicle
ActiveCN111103553AImprove estimation accuracyThe input parameters are stableElectrical testingNeural architecturesElectrical batteryParticle filtering algorithm
The invention provides a self-adaptive GRNN estimation method for the health state of a lithium ion battery of an electric vehicle. Aiming at the characteristics of missing, abnormality and noise of battery measurement data, an improved particle filter algorithm is adopted for processing or a least square method and a mean value replacement method are selected for processing parameters according to a variable coefficient so that the input parameters of the neural network are stable, and the noise immunity is improved. The GRNN algorithm has the advantage of high estimation precision when applied to SOH estimation, but due to the fact that a smoothing factor is manually set, the experiment average error and variance of the smoothing factor are not stable. Therefore, the smoothing factor ofthe GRNN is optimized by using the QGA so as to improve the network adaptability. Furthermore, in consideration of the characteristic that the correlation between different characteristic parameters and the capacity is different, a transfer function of a mode layer is constructed by utilizing the optimal smoothing factor and the correlation coefficient so as to improve the estimation precision ofthe GRNN. Experimental results show that the algorithm provided by the invention can effectively estimate the health state of the lithium ion battery and has a wide application prospect.
Owner:JIANGSU UNIV
Laminated solar cell structure optimization method
PendingCN111625998ASave simulation time and computing resourcesShorten adjustment timeDesign optimisation/simulationNeural architecturesComputational physicsSelf adaptive
The invention belongs to the field of battery design, and particularly relates to a laminated solar battery structure optimization method, which comprises the steps of taking structure information ofa to-be-optimized laminated solar battery as population information of a differential evolution algorithm, taking a battery performance index as an optimization target of the differential evolution algorithm, and initializing the structure information; controlling a differential evolution algorithm to perform iterative evolution on the initial structure information for multiple times by adaptivelyadjusting a scaling factor and a crossover probability required by each iteration, wherein each iterative evolution is to jointly adjust each layer of structure in the laminated solar cell to obtaina new population and predict a cell performance index according to the new population by adopting a pre-constructed cell performance prediction neural network, and finally optimal structure information is obtained. According to the self-adaptive differential evolution algorithm, the structures of all layers can be jointly adjusted, the problem of local optimization is avoided, the differential evolution algorithm is combined with the battery performance prediction neural network, the battery structure can be designed in a high-efficiency and time-saving self-adaptive reverse optimization mode,and the optimization efficiency is improved.
Owner:HUAZHONG UNIV OF SCI & TECH
Echo signal separation method for ultrasonic flaw detection
ActiveCN109632974AThe method steps are simpleReasonable designProcessing detected response signalSonificationBlind signal separation
The invention discloses an echo signal separation method for ultrasonic flaw detection. The method comprises steps of: first, acquisition and synchronous uploading of an ultrasonic echo signal: an ultrasonic flaw detection device performs ultrasonic detection on a tested object, acquires an ultrasonic echo signal F(t) of the tested object, and synchronously transfers the acquired ultrasonic echo signal F(t) to a data processing device ,wherein the ultrasonic echo signal F(t) comprises ultrasonic echo signals of positions of K flaws of the tested object; second, signal sparse and decomposition;and third, echo signal separation: the data processing device separates the ultrasonic echo signal F(t) according to K optimal matched atoms in an iteration decomposition optimal atom set, and acquires K separation signals. The method has simple steps, is reasonable in design, is easy to realize, has good use effect, and conveniently, rapidly separates overlaid signals in multiple flaw positionsin the same ultrasonic echo signal through signal sparse decomposition.
Owner:XIAN UNIV OF SCI & TECH
A Biclustering Method for Gene Expression Data Based on Two-Stage Genetic Computation
InactiveCN104573004BWide range of searchNot easy to missSpecial data processing applicationsAlgorithmGenetic algorithm
The invention discloses a double-clustering method of gene expression data based on double-stage genetic calculation, and subtracts the k-th column from each column in the matrix M to obtain the matrix M(k), k=1, 2,...,n; Perform hierarchical clustering on each column of M(k) to obtain a set of bi-clustering seeds; obtain the corresponding bi-clustering through genetic calculation. The algorithm described in the present invention can solve the shortcoming that the traditional biclustering algorithm based on genetic calculation can only select for biclustering, by optimizing the ranks and columns at the same time, the search efficiency can be improved, and a better biclustering analysis can be obtained Effect.
Owner:SOUTH CHINA UNIV OF TECH
An Adaptive GRNN Method for Estimating the State of Health of Lithium-ion Batteries in Electric Vehicles
ActiveCN111103553BImprove estimation accuracyThe input parameters are stableElectrical testingNeural architecturesState of healthSimulation
Owner:JIANGSU UNIV
A signal preprocessing method
ActiveCN109507291BThe method steps are simpleReasonable designAnalysing solids using sonic/ultrasonic/infrasonic wavesPretreatment methodAlgorithm
The invention discloses a signal preprocessing method, comprising steps: 1. Acquiring and synchronously uploading ultrasonic echo signals; 2. Determining wave peaks and troughs; 3. Eliminating extremum points; Value point time interval determination, division point judgment and sampling time determination of division point, signal division judgment, division point sorting and signal division; 5. Signal separation judgment and signal separation. The method of the present invention has simple steps, reasonable design, convenient implementation, and good use effect. Firstly, the judgment of the segmentation point and the determination of the sampling time of the segmentation point are realized by performing threshold judgment on the time interval of adjacent extreme points, and according to the determined number of segmentation points and Segment the ultrasonic echo signal at the sampling time of each segmentation point; then perform signal separation judgment and signal separation on each segmented signal, and separate the independent ultrasonic echo signals at the positions of multiple defects in the same ultrasonic echo signal Easy and quick separation.
Owner:XIAN UNIV OF SCI & TECH
Approximate simplification method of single-output combinational logic circuit
ActiveCN111985172AFast searchNarrow down the search spaceComputer aided designSpecial data processing applicationsComputer Aided DesignComputer-aided
The invention discloses an approximate simplification method for a single-output combinational logic circuit. The method comprises the steps: approximately representing a plurality of product terms asa product term under the constraint of an error rate, and deleting a specific product term, thereby achieving the simplification of a logic function; considering that a logic expression of a simple logic function often corresponds to a simple circuit structure, some logic circuits have a larger optimization space; on the premise of not influencing normal application of the logic circuit, furtheroptimization of performance such as power consumption, speed and area of the logic circuit can be realized; although the method is a single-output combinational logic circuit simplification method; however, the multi-output combinational logic circuit can be converted into a combination of a plurality of single-output circuits; therefore, the method can be popularized to the simplification of themulti-output combinational logic circuit, is suitable for the optimization of the logic circuit of which the logic function can be described by an AND / OR form logic function, is easy to program and implement, can be integrated into computer aided design, and is used for the integration and optimization of the logic circuit.
Owner:NINGBO UNIV
Transformer hybrid polarization model parameter identification method based on improved wolf pack algorithm
PendingCN114218855AAvoid premature concentrationIncrease diversityArtificial lifeDesign optimisation/simulationAlgorithmSimulation
The invention relates to a transformer hybrid polarization model parameter identification method based on an improved wolf pack algorithm, and the method comprises the following steps: the wolf pack algorithm is improved, an adaptive step length is introduced, and the step length of each movement of a wolf pack is determined by the current position of the wolf pack and the position of a head wolf pack; enabling a wolf pack position in the improved wolf pack algorithm to be a model parameter identification value of the hybrid polarization model, and constructing a wolf pack hunting function based on the model parameter identification value and a measured value; performing a wolf pack hunting activity, initializing a wolf pack position, generating a first wolf based on a wolf pack hunting function, and performing a wolf pack searching behavior, a wolf pack calling behavior and a wolf pack hunting behavior; the position of the first wolf is updated according to the mechanism that the strong wolf is the king, and the wolf pack is updated according to the mechanism that the weak meat is the strong food; and repeating the wolf pack hunting activities to perform iteration updating of the wolf pack, and outputting the model parameter identification value of the hybrid polarization model with the position of the current head wolf being the optimal after an iteration termination condition is reached.
Owner:STATE GRID PUTIAN ELECTRIC POWER SUPPLY +1
A Method for Separating Echo Signals for Ultrasonic Flaw Detection
ActiveCN109632974BThe method steps are simpleReasonable designProcessing detected response signalAcousticsTest object
The invention discloses a method for separating echo signals for ultrasonic flaw detection, comprising steps: 1. Acquisition and synchronous upload of ultrasonic echo signals: using an ultrasonic flaw detection device to perform ultrasonic detection on a measured object to obtain ultrasonic echo signals of the measured object F(t), and the obtained ultrasonic echo signal F(t) is synchronously transmitted to the data processing device; the ultrasonic echo signal F(t) includes ultrasonic echoes at the positions of K defects in the measured object signal; 2. signal sparse decomposition; 3. echo signal separation: using data processing equipment and according to the iterative decomposition of the K best matching atoms in the optimal atom set at this time, the ultrasonic echo signal F(t) is Separation to obtain K separation signals. The method of the invention has simple steps, reasonable design, convenient implementation and good use effect, and realizes simple and fast separation of superimposed signals at the positions of multiple defects in the same ultrasonic echo signal by using signal sparse decomposition.
Owner:XIAN UNIV OF SCI & TECH
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