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33 results about "Negatively associated" patented technology
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Negatively Associated Data. A relationship in paired data in which one variable's values tend to increase when the other decreases, and vice-versa. In a scatterplot, negatively associated data tend to follow a pattern from the upper left to the lower right. Negatively associated data have a negative correlation coefficient. See also.
Systems and methods of windowing time series data for pattern detection
A data analysis computer system is provided that receives a timeseries dataset and generates implied data from the dataset. The dataset is further vectorized to reduce the dimensionality of the data. Users provide input to identify windows of data that either positively or negatively correlate to instances of a given type of occurrence within the data. The user defined windows are converted to fixed sized windows and a machine learning algorithm constructs a model from the data. The model is used to predict instances of the given type of occurrence in newly received data. Validation of the predications may be performed.
Owner:NASDAQ INC
Method for training recommendation probability prediction model and recommendation probability prediction method and device
ActiveCN113254792AImprove predictive performanceImprove forecast accuracyDigital data information retrievalNeural architecturesTask networkData set
The invention provides a method for training a recommendation probability prediction model and a recommendation probability prediction method and device, and relates to the technical field of artificial intelligence, and the method comprises the steps: inputting sample data obtained from a sample data set into the recommendation probability prediction model in the multi-round iterative training process of the recommendation probability prediction model, obtaining a prediction recommendation result corresponding to the sample data; obtaining a corresponding basic loss value according to a predicted recommendation result and an actual recommendation result corresponding to the sample data; obtaining a corresponding target loss value based on the basic loss value and the first adjustment value, wherein the first adjustment value is used for representing the total difference degree of output results, obtained based on the corresponding sample data, of every two task networks, and the first adjustment value is in negative correlation with the target loss value; and according to the target loss value, performing parameter adjustment on the recommendation probability prediction model to improve the prediction performance of the trained recommendation probability prediction model so as to improve the prediction accuracy of the to-be-predicted information.
Owner:TENCENT TECH (SHENZHEN) CO LTD
A Construction Method for Automatic Sleep Staging and Use Thereof
PendingUS20220323000A1Improve abilitiesReduce the amount of calculationDiagnostic recording/measuringSensorsSleep stagingCorrelation coefficient
The present invention provides a construction method for automatic sleep staging and use thereof. The construction method for automatic sleep staging comprises: acquiring a plurality of sets of PSG signals and manual sleep information of PSG signals; pre-analyzing to decompose the original time series in the PSG signals into a set of pseudo-intrinsic mode functions (pseudo-IMFs); assembling the pseudo-IMFs to obtain m sets of time series; analyzing by multiscale entropy (MSE), to calculate the entropy values of the m sets of time series on n coarse-graining timescales, thus obtaining an entropy matrix with m*n elements; establishing a correlation coefficient matrix between the levels of consciousness and the elements in the entropy matrix, and finding the coarse-graining timescale and filtering timescale corresponding to the most significantly positively correlated element or the most significantly negatively correlated element in the correlation coefficient matrix; and calculating the entropy value on the coarse-graining timescale and filtering timescale corresponding to the most significantly positively correlated element or the most significantly negatively correlated element, and assessing the sleep state according to the entropy value.
Owner:JIANGSU AIDISCITECH RES INST CO LTD
Data processing method and device for realizing privacy protection
ActiveCN111523146ARealize anonymizationPrevent leakageDigital data protectionMachine learningIdentity recognitionPrivacy protection
The embodiment of the invention provides a data processing method for realizing privacy protection, and the method comprises the steps: obtaining to-be-processed sensor data, a corresponding identitytype label and a service label, wherein the service label corresponds to a service prediction task for a user; then, inputting the sensor data into a data anonymity model to obtain anonymity data; furthermore, on one hand, inputting the anonymous data into a pre-trained user identity recognition model to obtain an identity prediction result, wherein the identity prediction result is used for determining identity prediction loss in combination with an identity category label; on the other hand, inputting the anonymous data into a pre-trained service prediction model to obtain a service prediction result, wherein the service prediction result is used for determining service prediction loss in combination with the service label; then, training the data anonymity model by utilizing the comprehensive loss; wherein the comprehensive loss is negatively correlated with the identity prediction loss and positively correlated with the service prediction loss; wherein the trained data anonymity model is used for carrying out anonymity processing on the target sensor data.
Owner:ALIPAY (HANGZHOU) INFORMATION TECH CO LTD
Intimacy determination method and device, computer equipment and storage medium
PendingCN111178714ARealize numerical quantificationNumerical Quantification of IntimacyResourcesComplex mathematical operationsEngineeringFeature data
The invention discloses an intimacy determination method and device, computer equipment and a storage medium. The method comprises the following steps: obtaining social data of each individual; analyzing the social data to obtain feature data in the social data among the individuals; according to the positive and negative correlation of significant variables, selecting correlation feature data inpositive and negative correlation with the intimacy from the feature data; carrying out intimacy marking on the correlation feature data in positive and negative correlation according to a preset criterion; selecting important feature data from the marked correlation feature data, constructing an intimacy scoring model associated with the important feature data, and performing intimacy scoring onsocial data among the individuals according to the intimacy scoring model, so that numerical quantification of intimacy among people can be realized.
Owner:浙江大搜车软件技术有限公司
Method and device for achieving model training, and computer storage medium
PendingCN112183758AImprove retraining efficiencyReduce manual interventionMachine learningFeature setEngineering
The invention discloses a method and a device for realizing model training, and a computer storage medium, and belongs to the field of machine learning. When the machine learning model is deteriorated, the analysis equipment firstly obtains validity information of a first feature set, the first feature set comprises a plurality of features used for training to obtain the machine learning model, and the validity information comprises a validity score of each feature in the first feature set; the validity score of the feature is negatively correlated with the correlation between the feature andother features in the first feature set; failure features in the first feature set is determined based on the validity information; and finally,a second feature set which does not include the failurefeatures is generated, wherein the second feature set is used for retraining the machine learning model. According to the method, the failure features in the feature set are determined according to the validity scores of the features calculated on the basis of the correlation between the features, sample data does not need to be labeled, the updating efficiency of the feature set is improved, andthe model training efficiency is also improved.
Owner:HUAWEI TECH CO LTD
Map data quality freshness obtaining method and device and storage medium
The invention provides a map data quality freshness obtaining method and device and a storage medium. The method comprises the steps of obtaining social development average data corresponding to eachcity scale type in a target area; obtaining a key element region density average value of each city scale type in the target region and a key element region density value corresponding to each city; and obtaining an electronic map data quality freshness analysis result according to the key element region density value corresponding to each city, the key element region density average value corresponding to the city scale type to which the city belongs, the social development data of each city and the social development average data corresponding to the city scale type to which the city belongs. The cities with the social development data and the key elements in positive correlation are determined as the cities with the electronic map data quality freshness reaching the standard, and the cities with the social development data and the key elements in negative correlation are determined as the cities with the electronic map data quality freshness attenuated, so that the accuracy of an electronic map data quality freshness analysis result is improved.
Owner:NAVINFO
Point cloud data segmentation model training method and device, storage medium and electronic equipment
PendingCN113807448AImprove generalization abilitySolve difficultyCharacter and pattern recognitionNeural learning methodsPoint cloudAlgorithm
The invention provides a point cloud data segmentation model training method and device, a storage medium and electronic equipment, and the method comprises the steps: obtaining a labeling result of an initial model for first point cloud data, the first point cloud data being point cloud data which is not manually labeled; determining sample point cloud data used as a training sample from the first point cloud data according to the labeling result; and performing weighted training on the initial model based on the sample point cloud data to converge the initial model, the weight of each point of the sample point cloud data being negatively correlated with the corresponding confidence. In the application, the sample point cloud data used as the training sample is labeled by the initial model, and a new training sample can be obtained without manual labeling, so that the problems of high difficulty, long period, high cost and the like of manual labeling of the three-dimensional point cloud can be solved.
Owner:GUANGZHOU XAIRCRAFT TECH CO LTD
Living body detection model processing method and device, computer equipment and storage medium
ActiveCN113255531AFast convergenceImprove generalization abilityNeural architecturesNeural learning methodsComputer graphics (images)Data domain
The invention relates to artificial intelligence, in particular to a living body detection model processing method and device, computer equipment and a storage medium. The method comprises the following steps: extracting image features from image samples of different application scenes in sequence; determining distinguishing difficulty values of data fields to which different image samples belong based on the image features; determining identification difficulty values of different image samples according to the distinguishing difficulty values; according to the identification difficulty values, distributing weights of different sizes to different image samples; the weight and the identification difficulty value being in a negative correlation relationship; and based on the image samples of different application scenes, performing model training on a living body detection model according to a descending order of the weights. By adopting the method, the model convergence speed can be increased.
Owner:TENCENT TECH (SHENZHEN) CO LTD
Multi-label classification method for images based on gravity model
ActiveCN108647711BEasy to handleAvoid global computationCharacter and pattern recognitionMulti-label classificationNear neighbor
Owner:CHONGQING UNIV OF POSTS & TELECOMM
Translation-Based Multimodal Modeling Method and Its Application in Product Retrieval
ActiveCN108829847BOptimize product search resultsReduce sparsityDigital data information retrievalCharacter and pattern recognitionData setAlgorithm
The invention discloses a translation-based multimodal modeling method and its application in commodity retrieval, including: constructing positive correlation data sets and negative correlation data sets for all commodities; Space obtains the implicit representation of the final visual features of each commodity and the implicit representation of textual features; fuses the implicit representation of the final visual features of each commodity with the implicit representation of textual features to obtain the fused The implicit representation of ; based on the transformation matrix of the translation model, the implicit representation is mapped to the latent space, and the hidden representation vector of each commodity after mapping is obtained; the new query text is mapped to the latent space using the transformation matrix based on the translation model, Calculate the distance between the hidden representation vector of the product corresponding to the new query text and the hidden representation vector of each product; sort the distances from small to large, and output the top-ranked set products as product retrieval results.
Owner:SHANDONG UNIV
Data table association method and device, storage medium and electronic equipment
PendingCN114676132AReduce the frequency of loadingSave computing resourcesDatabase management systemsSpecial data processing applicationsDatasheetEngineering
The invention discloses a data table association method and device, a storage medium and electronic equipment, according to a key value of each to-be-associated data table, an association rate of each data table corresponding to each other data table is determined, and according to attribute information of each data table and the corresponding association rate between every two data tables, the association rate of each data table corresponding to each other data table is determined. And determining an association weight between every two data tables, determining an association sequence of the to-be-associated data tables based on the association weights between the data tables, and performing association according to the association sequence. Wherein the association weight represents the data size of the virtual intermediate table after the two data tables are associated, and the association weight between the two data tables is negatively correlated with the association sequence. According to the method, the association sequence of the data tables is determined on the basis of the data volume of the virtual intermediate table after every two data tables are associated in the to-be-associated data tables, so that the frequency of loading the frequency of the data tables with large data volume in the association process is reduced, a large amount of computing resources are saved, and the multi-table association duration is shortened.
Owner:BEIJING SANKUAI ONLINE TECH CO LTD
A Weakly Supervised Fine-Grained Image Classification Method Based on Hierarchical Feature Transform
The present invention provides a weakly supervised fine-grained image classification method based on hierarchical feature transformation. By analyzing a data set, only a pre-trained convolutional neural network model is used to co-locate a target in an image. At the same time, the most discriminative components are obtained through negative correlation information analysis. Use images, images and objects, images and parts to train corresponding three-level convolutional neural network classifiers: image-level classifiers, target object-level classifiers, and target component-level classifiers. Granular images for classification. The invention performs feature transformation on the convolution feature, accurately locates the target and the most discriminative component in the fine-grained image, and solves the weakly supervised fine-grained image classification problem with a new idea.
Owner:NORTHWESTERN POLYTECHNICAL UNIV
Method, kit and application for screening target regions detected by methylated PCR
ActiveCN108410980BMicrobiological testing/measurementDNA/RNA fragmentationStatistical correlationAnalysis data
The present application discloses a method, kit and application for screening target regions detected by methylation PCR. The method of the present application includes (1) obtaining the methylation chip of the tumor to be analyzed and the corresponding transcriptome sequencing data from the database; (2) counting the methylation degree values of the normal group and the cancer group, and screening for significant differences among different groups (3) Combined transcriptome sequencing expression profile analysis, statistical correlation coefficient, and screening of negatively correlated sites; (4) Correlation between the methylation candidate sites obtained in step (3) and the disclosed Literature association, screen to obtain sites with many literature support reports, large methylation differences between groups, and negatively correlated expression levels; use regression algorithm to obtain the best sensitivity and specificity set of sites, that is, the target area. The method of the present application comprehensively analyzes databases, transcriptome sequencing and literature, and combines multiple data filtering and regression algorithms to obtain sensitive and specific methylation PCR detection target regions.
Owner:ENVELOPE HEALTH BIOTECHNOLOGY CO LTD
Method and system for realizing dialogue based on correlation analysis of big data and small data
ActiveCN107291960BImprove completenessSmall amount of calculationDigital data information retrievalSpecial data processing applicationsData setSmall data
The invention discloses a humor achievement method and system based on correlating analyses of big data and small data. The method comprises the following steps that data of a user is obtained; part of the data of the user is extracted as first small data, and another part of the data is extracted as second small data; big data is obtained; data correlating to the first small data and the second small data are obtained from the big data respectively and as a first correlated data set and a second correlated data set respectively after cleaning; positively correlated sentences excavated from the first correlated data set and the degree of positive correlation of the positively correlated sentences are logged into a positively correlated sentence set; negatively correlated sentence excavated from the second correlated data set and the degree of negative correlation of the negatively correlated sentences are logged into a negatively correlated sentence set; a humor sentence set is obtained according to the positively correlated sentence set and the negatively correlated sentence set. According to the method and system, a robot can obtain sentences which can bring out the humorous meaning from the big data, and the degree of humor and the level of humor of the robot can be enhanced.
Owner:SUPERPOWER INNOVATION INTELLIGENT TECH DONGGUAN CO LTD
Adaptive three-phase reclosing method and system based on current characteristics of shunt reactor
ActiveCN109309380BSmall amount of calculationAdaptableEmergency protective circuit arrangementsPhase currentsFrequency spectrum
The technical schemes of the invention include a shunt reactor current characteristic based adaptive three-phase reclosing method and system. The method and system are used for realizing the followingsteps: obtaining a current-mode component and voltage-mode component corresponding to three-phase current data according to the three-phase current data and voltage characteristic data through calculation; analyzing the consistency and correlation of the three-phase current data, the current-mode component and the voltage-mode component, and obtaining consistency and correlation determination fault types through analysis; and automatically executing corresponding three-phase reclosing commands according to the determined fault types and time domains where the faults are located, the time domains including before and after arc extinction. The beneficial effects of the method and system are that negative correlation characteristics under permanent failures can be detected by utilizing correlation coefficient values so that fault properties can be identified without using spectrum analysis and frequency measurement algorithms to calculate the correlation parameters of related signals andbeing affected by fault location and transition resistance; and the method is small in calculated amount and does not need to modify criterions according to line parameters, so that the method can have adaptivity.
Owner:ZHUHAI XJ ELECTRIC
Method for determining image similarity, video scene switching recognition method and device
An embodiment of the present invention provides a method for determining image similarity, a video scene switching recognition method and device, wherein the method for determining image similarity includes: the first feature point of the current frame image in the acquired video data Set, and the feature points that match the second feature point set of the comparison frame image, as the associated feature point pair set; obtain the preset similarity of the feature points that do not match between the first feature point set and the second feature point set degree; based on the total number of associated feature point pairs and the Euclidean distance of associated feature point pairs, calculate the similarity of associated feature point pairs; the similarity of associated feature point pairs is positively correlated with the number of associated feature point pairs, It is negatively correlated with the Euclidean distance of the associated feature point pair set; the weighted average of the preset similarity and the similarity of the associated feature point pair set is determined as the global feature similarity between the current frame image and the comparison frame image.
Map quality inspection method, device, system and storage medium
ActiveCN109635053BShorten the timeIncrease productivityGeographical information databasesProcess engineeringComputer science
The invention provides a method, a device and a system for map quality inspection, and a storage medium. The method comprises: obtaining thermodynamic values of all regions on the map; wherein the thermodynamic value of each area is used for representing the reliability of the corresponding area; wherein the thermodynamic value and a reliable value of an area corresponding to the thermodynamic value are in a negative correlation mapping relation; determining an area of which the thermal value is greater than a preset threshold as a target area; and displaying the target area on the map. Therefore, map quality inspection personnel can quickly determine a problematic area, the area is corrected, the manual detection time is shortened, and the labor cost is reduced. The map production time isshortened, and the map production efficiency is improved.
Owner:BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
Systems and methods for enhancing audience measurement data
ActiveCN106063166BBroadcast services for monitoring/identification/recognitionBroadcast information monitoringData setDemographics
The present disclosure provides systems and methods for enhancing audience measurement data. Offline and online audience measurement data can be compared and correlated to improve the quality of each data and source collection. A positive correlation between offline and online datasets may indicate that demographic characteristics are likely to be true, such that outliers are removed from the set or considered with reduced weight. A negative correlation may indicate that demographic information, such as online measurement data, within a set of sources may be false or untrustworthy.
Owner:GOOGLE LLC
A method and system for target detection
ActiveCN112101316BImprove accuracyReduce false detection rateCharacter and pattern recognitionEngineeringThresholding
The present application provides a target detection method and system, which relate to the technical field of automatic driving. Among them, the method of target detection includes: obtaining the image data and radar data of the target in front of the vehicle; obtaining the environmental information of the environment in which the vehicle is located; detecting the target according to the confidence coefficient of the image data, radar data and image data, the confidence coefficient and the environmental information The indicated harshness of the environment is negatively correlated, and the product of the confidence coefficient and the confidence of the target detected based on the image data is the final confidence of the target in the image data. Determine the confidence coefficient of the image data through the environmental information of the vehicle, and then determine whether to use image data to detect targets based on the confidence coefficient of the image data, which can avoid determining whether to use image data for detection based on thresholds such as image brightness, color shift, or clarity. target, thereby effectively reducing the false detection rate of the target and improving the accuracy of target detection.
Owner:北京中科原动力科技有限公司
Multi-level line loss analysis method and system for line substation households based on contemporaneous data
Owner:STATE GRID TIANJIN ELECTRIC POWER +1
Method and device for predicting section water quality parameter data
The invention provides a method for predicting section water quality parameter data, comprising the following steps: acquiring first information of a first monitoring station in real time; acquiring second information of a water gathering area formed by a plurality of first monitoring stations according to the first information; acquiring third information of the section in real time; calculatinga first correlation coefficient of each water quality parameter, a second correlation coefficient of each water quality parameter and each rain-shine parameter and a third correlation coefficient of each water quality parameter and each hydrological parameter according to the second information and the third information in a preset duration; fitting the first correlation coefficient, the second correlation coefficient and the third correlation coefficient according to a preset first model, determining parameters in which a positive correlation, a negative correlation and a non-correlation exist; and if in the third information of the current section, a target parameter is missing, determining a parameter which is non-correlated with the target parameter; and according to the parameter non-correlated with the target parameter and a preset second model, determining the numerical value of the target parameter. Therefore, the robustness of the prediction result is improved.
Owner:BEIJING INSIGHTS VALUE TECHNOLOGY CO LTD
Object recommendation method and device, electronic equipment and storage medium
InactiveCN113378072AImprove targetingImprove adaptabilityBuying/selling/leasing transactionsSpecial data processing applicationsUser needsEngineering
The invention discloses an object recommendation method. The method comprises the steps of obtaining current search content of a user; determining a to-be-recommended object set based on historical operation data of the user; determining the user association degree of the objects in the object set based on the search content and the feature information of the objects, wherein the feature information at least comprises purchase frequency; determining a penalty factor of the object according to the popularity of the object, wherein the popularity is negatively correlated with the penalty factor; determining a matching coefficient of the object based on the penalty factor and the user association degree, wherein the matching coefficient is used for representing the matching degree of the object and the user demand; and based on the matching coefficient, selecting at least one object for recommendation. Therefore, recommendation is carried out based on the user historical data and the object popularity, the method does not depend on a fixed model, limitation of data types can be restrained, adaptability in different types of objects is improved, the object popularity is represented through penalty factors, the obtained matching coefficient can be used for preferentially recommending the unpopular objects with low popularity, and the method is suitable for unpopular object recommendation scenes.
Owner:武汉卓尔数字传媒科技有限公司
Visual user classification method, service method, system and device and storage medium
PendingCN113553369AFast and accurate analysisFast and Accurate AssessmentVisual data miningStructured data browsingFeature setClassification methods
The invention discloses a visual user classification method, a service method, a system, a device and a storage medium. The method comprises the following steps: obtaining visual data obtained according to input information and user group data of a user group, wherein the input information is used for setting a fraud detection algorithm, algorithm parameters and at least one user behavior feature set for processing user group data. The visual data is used for displaying a distribution view which is formed by reflecting the behavior similarity of the user group based on one or more user behavior characteristics in at least one user behavior characteristic set; the magnitude of the behavior similarity between the users is negatively correlated to the magnitude of the mapping spacing of the users in the distribution view, so as to carry out visual output. According to the scheme provided by the invention, the synchronization of the user on different behaviors can be intuitively and accurately displayed according to the behavior similarity of different user behaviors, and the fraud behavior can be quickly and accurately analyzed or the fraud detection quality can be evaluated.
Owner:TSINGHUA UNIV
Method for training recommendation probability prediction model, recommendation probability prediction method and device
ActiveCN113254792BImprove predictive performanceImprove forecast accuracyDigital data information retrievalNeural architecturesTask networkData set
This application provides a method for training a recommendation probability prediction model, a recommendation probability prediction method and a device, which relate to the field of artificial intelligence technology. The sample data is input into the recommendation probability prediction model to obtain the predicted recommendation results corresponding to the sample data; the corresponding basic loss value is obtained according to the predicted recommendation results corresponding to the sample data and the actual recommendation results; based on the basic loss value and the first adjustment value, the corresponding The target loss value of ; wherein, the first adjustment value is used to represent the total difference degree of the output results of each two task networks obtained based on the corresponding sample data, and the first adjustment value is negatively correlated with the target loss value; according to the target The loss value is to adjust the parameters of the recommendation probability prediction model to improve the prediction performance of the trained recommendation probability prediction model, thereby improving the prediction accuracy of the prediction information to be predicted.
Owner:TENCENT TECH (SHENZHEN) CO LTD
Index correlation analysis method
PendingCN113409093ARelevance is easy and intuitive to obtainMarket data gatheringAnalysis dataNegatively associated
The invention relates to an index correlation analysis method, and relates to the technical field of data processing; the method comprises the steps: obtaining a target index of an object in a selected time range; calculating the degree of association between the target index and each index; the correlation degree comprises positive correlation and negative correlation; obtaining a preset number of association indexes according to the association degree and a preset threshold value; ranking the association indexes from high to low according to the association degrees, and dividing the preset number of association indexes into N areas to be displayed according to the sorting result, wherein the association indexes displayed in the first N-1 areas comprise index names and sorting serial numbers, and the association indexes displayed in the last area are distributed in a point shape, and wherein the sizes of the index names and the sorting serial numbers are in direct proportion to the association degree. Therefore, the relevance between the target index and the association index can be simply and intuitively obtained, so that when the data is abnormal, the reason of the data abnormality can be analyzed through the change of the strongly associated association index, and the business strategy is appointed in combination with the core index.
Owner:SENSOR NETWORKS TECH BEIJING CO LTD
Method and device for adjusting crop supply based on user feedback data
ActiveCN110400170AGood compatibilityMarket predictionsCo-operative working arrangementsClosed loopComputer science
The embodiment of the invention provides a method and a device for adjusting crop supply based on user feedback data. The feedback information of users purchasing the target type of crops and merchants selling the target type of crops to the target type of crops is collected. A feedback word from the feedback information is obtained. A network channel word is obtained through a preset network search engine. The correlation relationship between the feedback word and the network channel word is analyzed to obtain the feedback word and the related network channel word of which the occurrence frequency is positively correlated or negatively correlated. The parameters for adjusting the growth process are adjusted. The processing process, the transportation process and / or the sales process of the target type of crops are obtained through a pre-trained target model according to the analyzed channel words and the related network channel words. The adjustment of the supply process of the targettype of crops is achieved. The closed-loop adjusting mode continuously optimizes the supply process of crops, ensures that the supplied crops are consistent with the market demand, and improves the matching of crop supply and demand.
Owner:北京耕智农业科技有限公司
Method for determining reliability growth model test duration
PendingCN112084618AThe value is accurate and reasonableReduce subjective inputDesign optimisation/simulationSpecial data processing applicationsAlgorithmCurve fitting
The invention discloses a method for determining a reliability growth model test duration, and the method comprises the following four steps: (1), deducing and exploring the correlation between the product of two parameters, i.e., a management strategy and a correction effectiveness coefficient, and a reliability test target value based on a PM2 model, and providing a physical basis for subsequentresearch; and (2) generating required simulation data by using MATLAB based on the negative correlation relationship between the product of the two parameters of the management strategy and the correction effectiveness coefficient and the reliability test target. And (3) carrying out data fitting and model solving by adopting a curve fitting mode based on MATLAB. And (4) constructing a non-linearmathematical equation in which the test duration is expressed by the management strategy and the correction validity coefficient, and giving a constant coefficient recommendation value of a 95% confidence interval. The invention is simple in implementation mode, easy to implement and simple and accurate in calculation.
Owner:BEIJING UNIV OF TECH
A Method of Evaluating the Measurement Accuracy of CT Size Using DVC Deformation Algorithm
ActiveCN111780695BComprehensive and reliable error dataUsing wave/particle radiation means3D modellingStatistical analysis3d image
The invention discloses a method for evaluating the accuracy of CT dimension measurement by using the DVC deformation algorithm, specifically: determining a standard sample for dimension measurement accuracy evaluation according to the material and structure of the sample to be measured for CT dimension measurement; Under the CT test conditions, use CT equipment to scan the standard sample twice consecutively to obtain two sets of three-dimensional CT image data under the same test conditions; perform DVC calculation on the two sets of three-dimensional CT image data obtained to obtain three-dimensional full-field deformation data , the strains in three directions in the deformation data are denoted as ex, ey, ez; statistical analysis is carried out on the obtained full-field deformation data, and the mean value and standard deviation of each strain are obtained. The accuracy of CT size measurement is negatively correlated with the standard deviation, That is, the smaller the standard deviation, the higher the measurement accuracy; the larger the standard deviation, the lower the measurement accuracy. The method of the invention can quantify the influence of various influencing factors on the CT size measurement.
Owner:SOUTHEAST UNIV
User similarity calculation method
ActiveCN111639268AImprove accuracyImprove universalityDigital data information retrievalCharacter and pattern recognitionDegree of similarityCluster group
The invention provides a user similarity calculation method, which comprises the steps of S1, performing clustering grouping according to user attributes, and calculating similarity simattr based on static attributes; S2, calculating the similarity simtime according to the fact that the user similarity is in direct proportion to the login time but is subjected to the time attenuation effect; S3, calculating the similarity simfre according to the negative correlation relationship between the user similarity and the operation behavior frequency of the user; s4, according to the uncertainty thatthe user is attracted by the product, the self-information amount is increased for the user, and the similarity siminf is obtained; and S5, superposing and normalizing the similarities calculated in the steps S1-S4 to obtain the final user similarity.
Owner:SHANGHAI UNIV
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