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68results about How to "Guaranteed Search Accuracy" patented technology
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Method for fast retrieving high-similarity image of highway fee evasion vehicle
InactiveCN105354273AReduce complexityAvoid Feature ExtractionCharacter and pattern recognitionSpecial data processing applicationsImage extractionFeature extraction
The present invention discloses a method for fast retrieving a high-similarity image of a highway fee evasion vehicle. The method comprises: performing feature extraction and recognition on a collected sample image of an illegal vehicle by using a convolutional neural network model of a computer, constructing a corresponding K-d tree for the recognized feature, extracting a feature for a collected unknown image by using a fast high-similarity nearest neighbor search algorithm, and matching the feature of the unknown image with the feature of the sample image, to implement fast retrieval of a high-similarity image. According to the method provided by the present invention, better image feature expression can be obtained for retrieving a similar vehicle. Not only a retrieval result is high in similarity, but also retrieval is faster. Therefore, a function of image retrieval for cracking down on fee evasion, gaining evidence, cross-examination and a legal evidence chain can be sufficiently utilized, and behaviors of toll evasion can be fought and prohibited effectively.
Owner:浙江高信技术股份有限公司
Cloud environment task scheduling method based on improved ant colony algorithm
InactiveCN102932422AReduce duplicate searchesImprove search accuracyBiological modelsTransmissionOperating systemCalculation methods
The invention discloses a cloud environment task scheduling method based on an improved ant colony algorithm. On the basis of the conventional ant colony algorithm, a rest-life-pheromone (RLP) concept is introduced; by comparing the RLPs of ant brothers in the searching process, repeated search can be effectively eliminated, and searching accuracy is improved; and by adoption of a method for computing the quantity of the ant brothers, the quantity of ants can be dynamically changed under the specific conditions of loads and tasks of cloud environment, so a system is not overloaded, and the searching accuracy is ensured. Compared with the prior art, the cloud environment task scheduling method based on the improved ant colony algorithm has the advantages that requirements of a user on task execution time can be met to the greatest extent, and the allocation efficiency and execution efficiency of the tasks are improved.
Owner:上海云梯信息科技有限公司
Image retrieval method based on visual phrases
InactiveCN102254015AReduce in quantityImprove the ability to distinguishSpecial data processing applicationsInformation processingVision based
Owner:SHANGHAI JIAO TONG UNIV
Milling cutter wear prediction method and state recognition method
InactiveCN108038271AGood input parametersImprove performanceCharacter and pattern recognitionDesign optimisation/simulationMilling cutterLeast squares support vector machine
The invention discloses a milling cutter wear prediction method and a state recognition method. The wear prediction method comprises the following steps that firstly, wavelet noise reduction processing is performed on milling vibration data, feature extraction is performed on vibration signals from three aspects including time domain, frequency domain and time domain, after an initial feature vector set is obtained, a correlation coefficient method is used for calculating the correlation between feature vectors and wear amount, and an optimal feature vector set is obtained by screening; then,an average relative error predicted by a least squares support vector machine is defined as a fitness function of an adaptive step size cuckoo search algorithm, and by searching for a nest position, input parameters of the least squares support vector machine are optimized; finally, the wear amount is predicted by using the optimal least square support vector machine. Through comparison with two other hybrid intelligent algorithms, the superiority of an ASCS- LSSVR algorithm is verified.
Owner:HUAZHONG UNIV OF SCI & TECH +1
Automatic exposure control method
InactiveCN109561260AAvoid Noise AmplificationIncrease weightTelevision system detailsColor television detailsWeight coefficientExposure compensation
The invention belongs to the technical field of image exposure, and relates to an automatic exposure control method. The automatic exposure control method comprises the steps of S1, carrying out imagecollected by using binocular vision and an active structural light source projection method, and obtaining the last image collected each time; S2, obtaining the average brightness of the image by using a dynamic partitioning and dynamic weight coefficient adjusting method; S3, judging whether the average brightness of the image is within a target brightness range or not, if so, not carrying out exposure compensation and terminating the automatic exposure control, otherwise, entering the step S4; and S4, obtaining the difference between the average brightness of the image and the target brightness, selecting the corresponding step size for exposure compensation according to the difference and returning back to the step S1. The automatic exposure control method soles the problems of great noise signal, insufficient or excessive exposure of a target area due to excessive contrast between the target object and the background, excessively long adjustment time and excessively great difference between the image brightness and the target brightness in the prior art.
Owner:深慧视(深圳)科技有限公司
Quick movement estimation method and device
ActiveCN102075760AGuaranteed Search AccuracyReduce the number of points searchedTelevision system detailsColor television detailsFast motionEstimation methods
The invention discloses a quick movement estimation method which comprises the following steps: taking the median prediction point of an existing block, the central point of a block at same position with the existing block in a reference frame and the motion vector toward point of the block at the same position with the existing block in the reference frame as candidate search points; selecting an initial search point in the candidate search points; determining the position of a search window in accordance with the selected initial search point, and determining the size of the search window in accordance with the type of the existing block; and determining the matching block / or the motion vector of the existing block in the search window. In the method, the multiple candidate search points are preset, and the advantages of a quick movement estimation algorithm are used for reference; and by setting the different search windows and search step sizes corresponding to the existing blocks with the different types, search accuracy is ensured, the total number of the points required to be searched can be effectively reduced at the same time, thus the method is more beneficial to realizing based on hardware.
Owner:JIANGSU DAHAI INTELLIGENT SYST
Fault diagnosis method for PWM inverter of motor drive system
InactiveCN107153735AStrong local search abilityAvoid local optimal solution statesElectrical testingDesign optimisation/simulationEngineeringPwm inverter
The invention discloses a fault diagnosis method for a PWM inverter of a motor drive system. The fault diagnosis method is characterized in that an inverter fault diagnosis model based on both wavelet packet decomposition and an RBF neural network is designed, wavelet packet transformation is utilized to extract a feature vector of a fault signal of the inverter, and the feature vector is taken as the input quantity of the RBF neutral network; a wolf pack-simulated annealing algorithm is adopted to optimize structural parameters of the RBF neutral network; and 22 groups of learning samples and 6 groups of test samples are utilized to train and examine the RBF neutral network. Simulation experiment analysis shows that when the fault diagnosis method is used for an open-circuit fault of the PWM inverter of a three-phase motor drive system, the fault position of an inverter TGBT power tube can be accurately positioned, fault diagnosis is quick, accurate and efficient, and the fault diagnosis method contributes to improving the running reliability of the motor drive system.
Owner:WUXI OPEN UNIV
Method for searching critical road sections of traffic networks on basis of redundancy of road section sub-networks
InactiveCN104217579AGuaranteed Search AccuracyImprove search efficiencyRoad vehicles traffic controlSpecial data processing applicationsTraffic networkSimulation
The invention discloses a 'method for searching critical road sections of traffic networks on the basis of the redundancy of road section sub-networks'. Road section redundancy indexes which reflect topological characteristics of the road section sub-networks are selected to be used as selection indexes of candidate critical road sections by the aid of the method. The method includes building a sub-network of each directional road section, simultaneously counting the numbers of nodes of the sub-networks and the numbers of the directional road sections and computing the corresponding redundancy indexes; preliminarily selecting the candidate critical road sections according to a principle that the road sections with the small redundancy indexes are optimally selected, computing an influence degree of each candidate critical road section on the traffic networks and selecting the road sections with the maximum influence degrees as the critical road sections. The method has the advantages that the searched critical road sections of the traffic networks are high in search accuracy, search efficiency and operability, and the problem of difficulty in determining selection indexes of candidate road sections with good search effects and high operability can be solved.
Owner:TONGJI UNIV
Ship short-circuit fault diagnosis method based on improved GA-PSO-BP
ActiveCN110263907AAvoid falling intoQuick detectionArtificial lifeNeural architecturesData setElectric power system
The invention provides a ship short-circuit fault diagnosis method based on improved GA-PSO-BP which comprises the following steps: S1, acquiring a three-phase voltage signal when a ship power system is short-circuited, and establishing a training data set and a test data set; S2, establishing a three-layer BP neural network model; S3, establishing a particle swarm representing the BP neural network model; s4, endowing the BP neural network model with the particle position, inputting the training data set into the BP neural network to carry out ship short-circuit fault diagnosis, obtaining a diagnosis result, calculating an error value of the diagnosis result, when the error value is greater than or equal to gmax and the number of iterations does not reach gmax, adding 1 to the number of iterations, entering S5, otherwise, ending iteration, and entering S7; s5, updating the particle speed and the particle position; s6, performing cross mutation on particle positions, and updating the particles into particles of the next generation; repeating the steps S4-S6; s7, using the global optimal value of the particle swarm as an optimal particle to endow the BP neural network model; and S8, inputting the test data set into the BP neural network model, and diagnosing the ship short-circuit fault.
Owner:SHANGHAI MARITIME UNIVERSITY
Adaptive genetic algorithm-based interplanetary orbit control optimization method
InactiveCN104252132AFast convergenceGuaranteed search accuracyAdaptive controlComputational physicsGenetics algorithms
The invention discloses an adaptive genetic algorithm-based interplanetary orbit control optimization method. The method comprises the following steps: establishing a B plane of a target planet; calculating a velocity increment of orbit control and a B plane position residual error; and optimizing a midcourse correction opportunity by using an adaptive genetic algorithm. Fuel consumption of midcourse correction and a target planet position error are used as optimization objectives. The genetic algorithm is used for carrying out optimization on the opportunity of the midcourse correction in the interplanetary transfer orbit; the traditional genetic algorithm is improved, the adaptive crossover probability and mutation probability are used, and the algorithm convergence rate is accelerated. Compared with the traditional numerical searching method, the adaptive genetic algorithm enables the optimizing precision to be ensured and calculation time to be saved. With the method, the considerable fuel consumption can be reduced for the interplanetary exploration task and the efficiency of the interplanetary cruise track control strategy selection can also be effectively improved.
Owner:SHANGHAI XINYUE METER FACTORY
Data search method and system based on table function and computer storage medium
PendingCN112819171AReal-time feedbackGuaranteed Search AccuracyQuantum computersSearch problemEngineering
The invention relates to a data search method and system based on table function and a computer storage medium. The data search method based on table function comprises the following steps: classifying external information based on a preset rule; performing feature expression on the external information according to a classification result; preprocessing a result of the feature expression; generating a target mapping relation table of the search resources based on the preprocessing result; and outputting a result of the search problem through the target mapping relation table. On the basis of guaranteeing the search accuracy, the purposes of improving the search efficiency, enabling the search result to be fed back in real time and meeting the actual operation requirement are achieved.
Owner:SHENZHEN Y& D ELECTRONICS CO LTD
Data processing method based on cloud server
InactiveCN106446255AIncrease speedSearch Accuracy GuaranteeCharacter and pattern recognitionSpecial data processing applicationsData dredgingData pre-processing
The invention provides a data processing method based on a cloud server. The data processing method comprises a step of data initialization, to be specific, combining data distributed at different network spaces, completing default items in data and cleaning dirt data; selecting data, to be specific, converting different formats of data from initialized data into a uniform format; a step of data pretreatment, to be specific, checking the uniform format of data, removing redundant data with noise data, and supplementing default data, and meanwhile, marking the data through encoding; a step of data excavation, which mainly includes steps of determining an excavation goal, selecting an algorithm, and processing the data by the excavation algorithm, and educing and storing the excavated data after adding a logo. The speed rate in data searching is improved, and the searching precision is greatly improved.
Owner:安徽天达网络科技有限公司
Personal credit risk assessment method based on IFOA-SVM
InactiveCN107330781AImprove search efficiencyGuaranteed Search AccuracyFinanceCharacter and pattern recognitionSupport vector machineAlgorithm
The present invention discloses a personal credit risk assessment method based on an IFOA-SVM (Improving Fruit Fly Optimization Algorithm-Support Vector Machine). An improving fruit fly optimization algorithm is employed to perform improvement to effectively ensure the optimization precision while improving the optimization efficiency of the algorithm. The IFOA is configured to find out n elite fruit fly positions with optimal taste concentration at present and perform weighting processing of the positions to obtain an optimal weighting position so as to allow a fruit fly group to fly to the positions. The releasing operation is performed for n times to select one releasing with the optimal taste concentration mean value. The improving fruit fly optimization algorithm improves the searching probability of an optimum solution, speeds up the searching speed of the optimum solution and utilizes the optimum solution to the credit risk assessment to obtain a good assessment result, and the quantization processing of the credit assessment indexes in the sample data is performed to improve the prediction performance, have good practicability, clear out loan client credit for financing institutions such as a bank and the like and provide effective basis for reduction of the loan risk.
Owner:NANJING UNIV OF INFORMATION SCI & TECH
Dynamic zooming search window-based motion estimation method and system
InactiveCN102075754AImprove search efficiencyGuaranteed Search AccuracyTelevision systemsDigital video signal modificationMotion vectorVideo sequence
The invention discloses a dynamic zooming search window-based motion estimation method and a dynamic zooming search window-based motion estimation system. The method comprises the following steps of: performing zero motion pre-termination judgment on a video sequence; predicting initial search points; performing initial positioning by searching on a large scale by adopting an extended hexagon search method; performing secondary search in a determined range on a small scale by adopting a diamond search method; and further performing precise positioning in the determined range by adopting a cross search pattern (CSP) method to obtain a motion vector. The system is characterized by consisting of a video data input module and a central processing unit module, wherein the video data input module is formed by connecting an acquisition charge coupled device (CCD) camera with an analogue-to-digital (A / D) converter in series; the central processing unit module comprises an image preprocessing module, a first buffer, a second buffer, a search window data memory, a comparator, a control subprogram control module, an operation subprogram control module and a clock control module. The method and the system improve the search efficiency of a motion estimation algorithm.
Owner:HOHAI UNIV
Motion estimation method, motion estimation device, storage medium and electronic equipment
PendingCN111598919AImprove targetingImprove effectivenessImage enhancementImage analysisPattern recognitionComputer graphics (images)
The invention provides a motion estimation method, a motion estimation device, a computer readable storage medium and electronic equipment, and relates to the technical field of image and video processing. The motion estimation method comprises the following steps: determining an error between a to-be-matched block and a candidate block, the to-be-matched block being an image block in a current frame image, and the candidate block being an image block in a reference frame image; selecting at least two candidate blocks with the smallest error with the to-be-matched block from the candidate blocks; determining a search range in the reference frame image according to the positions of the at least two candidate blocks; and searching a global optimal block of the to-be-matched block in the search range, and obtaining an optimal motion vector of the to-be-matched block through the global optimal block. According to the invention, motion estimation can be carried out in different scenes, andthe accuracy and efficiency are high.
Owner:GUANGDONG OPPO MOBILE TELECOMM CORP LTD
Flower image retrieval method based on convolutional neural network
InactiveCN108829692AImprove accuracyGuaranteed Search AccuracyCharacter and pattern recognitionNeural architecturesFeature vectorNODAL
The invention discloses a flower image retrieval method based on a convolutional neural network. The flower image retrieval method comprises the following steps that: constructing a flower image dataset with category information, and using a random image transformation method to process a flower image to enhance the flower image dataset; constructing a flower classification deep convolutional neural network model VGG-F based on VGG-16, wherein the node numbers of FC1 (First Full Connection), FC2 and a classification layer are independently 1024, 256 and a flower category sum; through the modelVGG-F and the FC2, independently extracting the feature vector of each flower image in an image to be inquired and the flower image dataset, and carrying out similarity comparison to obtain the mostsimilar 2N pieces of flower images; and independently calculating the image to be inquired, obtaining the HSV (Hue, Saturation and Value) color distribution feature vector of each flower image in the2N pieces of flower images, and carrying out comparison to obtain the most similar N pieces of flower images. By use of the method, on the basis of the convolutional neural network, and flower retrieval accuracy is effectively improved.
Owner:HUAZHONG UNIV OF SCI & TECH
Face search method, device and equipment, and computer readable storage medium
PendingCN112559789AReduce in quantityGuaranteed accuracyCharacter and pattern recognitionStill image data indexingEngineeringFeature data
Owner:ZTE CORP
Data search method and device
PendingCN111159381AReduce search difficultyGuaranteed search accuracyNatural language data processingText database queryingUser satisfactionInformation type
The invention discloses a data search method and device. The method comprises the steps of obtaining natural language input information; determining search intention data corresponding to the naturallanguage input information according to the natural language input information; according to the search intention data and a pre-established matching model, determining a search intention type corresponding to the natural language input information, pre-establishing a matching model according to natural language historical input information, wherein the search intention type comprises a list listtype, an attribute value type or an object information type; and searching the data according to the natural language input information and the corresponding search intention type. The search efficiency can be improved while the search accuracy is guaranteed, manpower and material resources are saved, and the user satisfaction is improved.
Owner:BANK OF CHINA
Litigation cost prediction method, litigation cost prediction device and terminal equipment
ActiveCN110472011ASearch Accuracy GuaranteeGuaranteed validityForecastingText database queryingUser inputTerminal equipment
The invention provides a litigation cost prediction method, a litigation cost prediction device, and terminal equipment. The invention is suitable for the technical field of data processing. The method comprises the steps of obtaining case information, evidence information and personal information of a to-be-processed case input by a user; analyzing the case information to obtain case keywords andcase types; searching a first historical similar case based on the case keyword, the case type and the personal information; screening the first historical similar cases to obtain corresponding second historical similar cases; and processing the case information and the evidence information of the to-be-processed case based on the case information, the evidence information, the judgment result, the litigation duration and the cost data of the second historical similar case to obtain a reference judgment result, a reference litigation duration and reference cost data of the to-be-processed case. According to the embodiment of the invention, the analysis and accurate prediction of the case litigation duration cost and result are realized.
Owner:PING AN TECH (SHENZHEN) CO LTD
Method and device for realizing code phase searching
ActiveCN107346028AGuaranteed Search AccuracyReduce complexitySatellite radio beaconingComputer scienceFourier transform
The invention discloses a method and a device for realizing code phase searching. The method comprises the steps of: combining in-phase and quadrature mixing results to generate a complex signal; downsampling the complex signal to obtain a first downsampled signal; generating first and second local conjugate results by means of a full coarse acquisition (C / A) code and a partial C / A code; subjecting the first downsampled signal to Fourier transform to obtain a first transform result, multiplying the first transform result by the first local conjugate result by means of a multiplier, and performing Fourier inverse transform, modulus operation and phase judgment to obtain a first judgment result; and acquiring a sample point of Fourier transform by means of the first judgment result, and performing Fourier transform on the complex signal to obtain a second transform result, and multiplying the second transform result by the second local conjugate result by means of a multiplier, and performing Fourier inverse transform, modulus operation and phase judgment combined with the first judgment result to obtain a second judgment result, so as to obtain the code phase. According to the method and the device, the code phase is obtained by performing downsampling on the complex signal and the like, thereby ensuring the precision of the code phase searching and reducing the complexity.
Owner:DATANG SEMICON DESIGN
Image retrieval method and device, computer equipment and storage medium
PendingCN110083731AImproving Image Retrieval EfficiencyImprove efficiencyDigital data information retrievalSpecial data processing applicationsInverted indexComputer equipment
The invention discloses an image retrieval method and device, computer equipment and a storage medium, and relates to the field of artificial intelligence. The image retrieval method comprises the steps of acquiring a to-be-retrieved image; extracting scale invariant feature transformation feature points of the to-be-retrieved image; traversing the scale-invariant feature transformation feature points of the to-be-retrieved image, and acquiring a target feature center by calculations, substituting the index number of the target feature center for each scale invariant feature transformation feature point closest to the feature center over time; and searching in a Hash inverted index table according to the index number of the target feature center to obtain a target historical image. By adopting the image retrieval method, the same or similar images can be quickly retrieved from mass images.
Owner:PING AN TECH (SHENZHEN) CO LTD
Fast motion evaluation based on orthogonal distributing model
InactiveCN1941909AGuaranteed Search AccuracyImprove search speedTelevision systemsDigital video signal modificationPattern recognitionMotion vector
The method comprises: selecting the searching template based on quadrature distributive model; using the quadrature distributive feature of motion vector to fast position to neighboring area of the optimum point; making motion search on multi searching points corresponding to each level of searching template; finding the motion searching point with least error from the result of motion search; according to the position of the motion search point with least error in the first level search template, determining the searching template used by the next motion search.
Owner:INST OF AUTOMATION CHINESE ACAD OF SCI
Short-term power load prediction method based on SFO-TSVR
PendingCN113408778AGuaranteed accuracyGuaranteed forecasting efficiencyKernel methodsForecastingLoad forecastingAlgorithm
The invention relates to a short-term power load prediction method based on SFO-TSVR. The method comprises the following steps: obtaining historical load data, meteorological data and corresponding date type data to serve as original sample data; dividing the original sample data into a training set and a test set; setting an input data sequence, and constructing a TSVR model; based on the training set, training the TSVR model by adopting an SFO algorithm; and based on the test set, verifying the trained TSVR model, and if the verification is passed, inputting related data of an actual to-be-predicted day into the trained TSVR model according to the set input data sequence to obtain a power load prediction value of the actual to-be-predicted day, otherwise, returning to carry out model training again. Compared with the prior art, the method can efficiently and accurately obtain a short-term load prediction result.
Owner:SHANGHAI UNIVERSITY OF ELECTRIC POWER
File processing method based on Internet
InactiveCN106484887AIncreased speed when searchingIncrease speedData miningSpecial data processing applicationsThe InternetDatabase
The invention provides a file processing method based on Internet. The file processing method comprises steps of initiating a file, in which merging files in different network space and supplementing default items in files and cleaning dirty files, selecting files, converting the files initially processed into a uniformed format, pre-processing the files, in which the format-uniformed files are checked and noise files and redundant files are eliminated, default files are supplemented and the files are encoded and labeled, and excavating the file, concretely comprising the following steps of determining an excavating target, selecting algorithm, processing the file based on the excavating algorithm and attaching the label to the excavated file and storing the file. File searching speed can be improved and searching precision can be guaranteed by the use of the file processing method based on Internet.
Owner:安徽天达网络科技有限公司
Video copy detection method and device, storage medium and electronic device
PendingCN113051984AImprove detection efficiencySolve the problems of low detection efficiency and poor video copy detection accuracyVideo data indexingCharacter and pattern recognitionKey frameVideo copy detection
The invention provides a video copy detection method and device, a storage medium and an electronic device. The method comprises the following steps: extracting a first target key frame of a query video; extracting a first video feature of the first target key frame; acquiring a second video feature of a second target key frame of the reference video; and when it is determined that the query video is matched with the reference video according to the first video feature and the second video feature, extracting similar video clips in the query video and the reference video. The problems of low video copy detection efficiency and poor video copy detection accuracy in a video copy detection method in the related technology are solved, and the effects of improving the video copy detection efficiency and improving the video copy detection accuracy are further achieved.
Owner:北京中科闻歌科技股份有限公司
Data acquisition method, data retrieval method and request response method
InactiveCN110377622AMonitor utilization in real timeReduce the burden onDigital data information retrievalResource allocationData retrievalResponse method
The invention discloses a data acquisition method, which comprises the following steps of acquiring an acquired data identifier by a server, and retrieving in a memory cache according to the data identifier; if the corresponding material data is not retrieved in the memory cache, obtaining the material data corresponding to the data identifier from a database; and processing the material data to obtain display data. The material data is hierarchically stored to hierarchically process the acquisition of the data, so that the data acquisition efficiency is improved, and the risk that the database is broken down is also reduced. The invention further discloses a data retrieval method and a request response method.
Owner:深圳新度博望科技有限公司
Medical image retrieval system and retrieval method based on computer processing
InactiveCN106960015AGuaranteed accuracyRapid diagnosisStill image data indexingMedical image data managementThe InternetImage retrieval
The invention discloses a medical image retrieval system based on computer processing in the technical field of image retrieval. The medical image retrieval system comprises an acquisition image subsystem; the acquisition image subsystem is in electrical output connection with a central processing unit; the central processing unit is electrically and bidirectionally connected with a retrieval subsystem; the central processing unit is in electrical output connection with a display subsystem; and the display subsystem is electrically and bidirectionally connected with a feedback subsystem. According to the medical image retrieval system disclosed by the invention, information in an input image is directly read by the acquisition image subsystem so as to ensure accuracy of retrieval, benefit to accuracy of analysis on pathology and reduce individual subjectivity and uncertainty; by the central processing unit, retrieval of the image is ordered, and rapid retrieval efficiency and accuracy are ensured; and by the retrieval subsystem, information to be retrieved can be rapidly, accurately and respectively retrieved from a computer database, the internet and an index database, and accuracy of the information and a wide retrieval range are ensured.
Owner:CHANGCHUN NORMAL UNIVERSITY
Article pool generation method and device, picture search method and device, electronic equipment and medium
ActiveCN112269894AGuaranteed Search AccuracyImprove consistencyCharacter and pattern recognitionStill image data clustering/classificationEngineeringSample image
The embodiment of the invention discloses an article pool generation method and device, a picture search method and device, electronic equipment and a medium. The article pool generation method comprises the steps of obtaining sample picture features of sample pictures in article pictures, dividing a feature space where the sample picture features are located, and determining visual category features of a feature subspace according to the sample picture features in the feature subspace obtained through division; for the article picture features of each article picture, dividing the article picture features into corresponding feature subspaces according to the visual category features; and for each feature subspace, generating an article pool corresponding to the visual category features ofthe feature subspace according to the article picture features in the feature subspace. According to the technical scheme of the embodiment of the invention, the article pool which belongs to the same article pool and has high consistency of the article picture features in the visual information can be generated, so that the accuracy of subsequent picture search is effectively ensured.
Owner:BEIJING WODONG TIANJUN INFORMATION TECH CO LTD +1
Reconfiguration optimization method of ship power grid based on particle swarm optimization
InactiveCN102799950BSuitable for refactoring problemsNo manual operation requiredForecastingBiological modelsPower gridParticle swarm algorithm
The invention discloses a ship power grid reconfiguration optimizing method based on a particle swarm algorithm. The ship power grid reconfiguration optimizing method combines the particle swarm algorithm and a small population algorithm. Combinations of all switching-on / off states of circuit breakers between a bus in a ship power grid and each load are used as feasible solutions; each feasible solution is used as a particle, and the set of all the feasible solutions forms a particle swarm; particle swarm algorithm optimization is carried out on the particle swarm; an optimal solution space obtained by carrying out small population algorithm on the particle swarm is used for optimizing; and the ship power grid is reconstructed by using the optimal feasible solution. Compared with the existing methods, the ship power grid reconfiguration optimizing method has the advantages of less occupied machine hours and rapid calculation speed, and the requirement on reconstruction instantaneity of the ship power grid can be met.
Owner:DALIAN MARITIME UNIVERSITY
A milling cutter wear prediction method and state identification method
InactiveCN108038271BGood input parametersImprove performanceCharacter and pattern recognitionDesign optimisation/simulationMilling cutterLeast squares support vector machine
Owner:HUAZHONG UNIV OF SCI & TECH +1
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