60 results about "Correspondence analysis" patented technology

An image processing method is described for determining depth information from at least two input images recorded by a stereo camera system, the depth information being determined from a disparity map taking into account geometric properties of the stereo camera system, characterized by the following method steps for ascertaining the disparity map: transforming the input images into signature images with the aid of a predefined operator, calculating costs based on the signature images with the aid of a parameter-free statistical rank correlation measure for ascertaining a cost range for predefined disparity levels in relation to at least one of the at least two input images, performing a correspondence analysis for each point of the cost range for the predefined disparity levels, the disparity to be determined corresponding to the lowest costs, and ascertaining the disparity map from the previously determined disparities.

Methods, systems and computer program products are provided for fusing images having different spatial resolutions, for example, different spatial and/or spectral resolutions. Data for at least two images having different spatial resolutions is obtained. A component analysis transform is performed on a lower spatial resolution image of the at least two images. A component of the component analysis transform of the lower resolution image containing a small amount of information associated with the low spatial resolution image is replaced with information from a higher spatial resolution image of the at least two images.

The invention discloses a hierarchical alarm analysis method and a hierarchical alarm analysis system based on a content delivery network, which aim to realize precise real-time alarm and improve service quality of the CDN (content delivery network) of the internet. The technical scheme includes that the method includes the steps: data acquisition; single node analysis by dividing acquired data according to a target IP (internet protocol), and placing the data with the same nodes into an analysis container for single node analysis; regional analysis by summarizing abnormal data reported after single node analysis, and placing the abnormal data into corresponding analysis containers for analysis according to regions; source analysis by summarizing abnormal data after regional analysis, analyzing all the abnormal data, and judging whether the problem lies in a source according to the occupied proportion in all the regions; and alarm filtering by obtaining upper abnormal alarm information after single node analysis, regional analysis and source analysis, and filtering lower repeated alarming by means of reverse matching of the upper lower alarm data.

The invention provides a correspondence address identifying and standardizing method which is used for solving the problem of correspondence address identification and standardization. The correspondence address identifying and standardizing method comprises the following steps: inputting a correspondence address; segmenting the input correspondence address by using an address metadata dictionary, and generating segmented address metadata groups; labeling the segmented address metadata groups, and generating labeled address metadata groups; calculating corresponding weight values of the labeled address metadata groups and outputting the address metadata group with the largest weight value; standardizing the address metadata group with the largest weight value by using the address metadata dictionary, and generating a standardized correspondence address; and outputting the standardized correspondence address. By adopting the correspondence address identifying and standardizing method, the precision of correspondence address processing is improved, and the throughput rate and recall rate of correspondence address processing are relatively high.

The invention discloses a network performance evaluation method which is characterized by comprising the following steps of collecting evaluation data at a sampling point, performing classified processing on the collected evaluation data and storing the collected evaluation data; establishing an evaluation model of network performance evaluation standards, wherein the evaluation model is a corresponding relation between the evaluation data and perceptibitity of the user; after receiving query information, performing corresponding analysis on the evaluation data in the query information according to the evaluation model and outputting analysis results. The invention further discloses a network performance evaluation device. By means of the network performance evaluation method and device, network performance and using feeling of the user are combined, therefore, perceptibitity of the user is reflected truly, and accuracy on network performance evaluation is increased.

Firstly abstracted packaging of five code feature definition models is carried out for source codes, and fusion of the five code feature definition models is realized through attribute association among program elements, so that a fused multi-dimensional code query feature definition model is provided for a user. By use of a text query language PRDL, while semanteme of the PRDL is analyzed and grammar actions are executed, corresponding analysis and check for the source codes of a target program are realized. By use of a method, a user can efficiently and quickly perform formalized definitionon coding specifications and rules and perform self-check on the codes, so that the technical effects of improving the code integration quality and improving the programming efficiency are achieved.

A profiling unit is provided herein. The profiling unit comprises a statistical module that characterizes user activity data statistically; a normalization module that normalizes the statistical data related to each user with respect to user populations; and an analysis unit that analyzes a correspondence between normalized user study data and user archetypes, and also associates, for each user, the normalized statistical data with one of the user archetypes according to the analyzed correspondence. The correspondence analysis is carried out by applying a heuristic genetic algorithm on an artificial neural network that represents the relation between the normalized user study data and the user archetypes.

The invention relates to a canonical correspondence analysis-based soil nitrogen reserve estimation method, and belongs to a pedometrics and spatial analysis-oriented soil nitrogen reserve estimation method. The calculation of soil nitrogen density of a one-meter soil body and the simulation of spatial variation characteristics of the soil nitrogen density under different landscape characteristics are involved; an independent variable can be subjected to effective information preprocessing through multiple dimension reduction technologies; a comprehensive influence variable of nitrogen reserves of different depths is analyzed by using canonical correspondence analysis; and especially in the aspect of analyzing attribute influence factors of soil with different properties and different depths, a comprehensive fitting relationship between multiple soil attributes and typical characteristics of environment variables is established.

Traffic violation is an important factor which causes traffic accidents, and a traffic safety behavior risk is researched from the perspectives of traffic accident types and historical violation types. Normalization and a threshold value method are utilized to select a proper traffic violation type. Through Pearsons chi-square, relevance between traffic violation and traffic accidents is verified. A corresponding analysis method is adopted to research primary and secondary relevant violation types corresponding to different traffic accident types, and an influence degree model is established. Meanwhile, on the basis of an interaction influence of the primary and secondary relevant violation types, parts of traffic accident types and violation types are classified and combined. A result indicates that the traffic accident type and the violation type have correlation and a corresponding relationship, the precaution of the traffic accidents can be realized on the basis of the characteristics, and an accident type is anticipated.

The invention provides a method for extracting keywords. The method includes the steps that word segmentation operation is performed on all analysis sentences of an extracted text so as to obtain wordunits of the analysis sentences; word features of the word units, sentence features of the word units in the corresponding analysis sentences and text features of the word units in the extracted textare obtained; based on a robot learning model established through a robot learning algorithm, by the utilization of the word features of the word units in all the analysis sentences, the sentence features and the text features, keyword extraction operation is performed on each analysis sentence. The invention further provides a device for extracting the keywords. According to the method and device for extracting the keywords, the word features of the word units, the sentence features and the text features are used for establishing the robot learning model, then the keyword extraction operation is performed on each analysis sentence, and then the accuracy of keyword extraction is improved.

The invention provides a corresponding analysis based traffic accident cause analyzing method, comprising the following steps: inputting traffic accident data and traffic violation data wherein both are correlated through the identity information of a driver; conducting corresponding analysis on the type of traffic accident and the type of traffic violation by the driver; and conducting multiple corresponding analysis on the type of the traffic accident by the driver, the driver's age and gender as well as the car family. The corresponding analysis based traffic accident cause analyzing method of the invention is capable of analyzing the driver's driving actions and the influencing factors on the driving actions through the recorded violations, driving age, gender, car brand of the driver as well as the type of traffic accident so as to make targeted precautions to traffic accident and increase the safety on the road.

Profiling based advertising and commerce systems are provided herein. The system statistically analyzes user activity data of social network users and normalizes the statistical data with respect to specified user populations. Then the system profiles each user with respect to user archetypes using empirical study data that correlates the user archetypes with respective normalized statistical activity data relating to the user. The correspondence analysis is carried out by applying a heuristic genetic algorithm on an artificial neural network that represents the relation between the normalized user study data and the user archetypes. Profiles and segmentations produced are used for designing advertising campaigns and electronic commerce.

Software methods for identifying associations between genetic information and particular genetic traits are described. A candidate single nucleotide polymorphism (SNP) combination is selected from a plurality of candidate SNP combinations for a gene associated with (or suspected to be associated with) a genetic trait. Haplotype data associated with this candidate SNP combination are read for a plurality of individuals and grouped into a positive-responding group and a negative-responding group based on whether a predetermined trait criteria for an individual is met. A statistical analysis on the grouped haplotype data is performed to obtain a statistical measurement associated with the candidate SNP combination. The acts of selecting, reading, grouping, and performing are repeated as necessary to identify the candidate SNP combination having the optimal statistical measurement (if one exists). In one approach, all possible SNP combinations are selected and statistically analyzed. In another approach, a directed search based on results of previous statistical analysis of SNP combinations is performed until the optimal statistical measurement is obtained. In addition, the number of SNP combinations selected and analyzed may be reduced based on a simultaneous testing procedure.

The invention discloses a data collecting method based on the Internet. In the method, agents are arranged on each sub network, and the draw-in operation is carried out in real time or at regular time according to unified formats; collected behavioral data is encapsulated, packed and stored into a data base; after the initial data is obtained, the data also needs to be associated and normalized, and the collected data is converted into data forms capable of being easily analyzed and processed; and the main steps of the association processing and the normalization processing are divided into three processes of denoising, association and marking. In the method, behavioral science and behavioral theory of college students are used as the basis, key techniques such as the agent, corresponding analysis methods and the like are introduced, and a platform for collecting and storing the Internet digital study behavior information is constructed.

The ERP-based data analysis method provided by the present application, device, computer device and storage medium, the method obtains a first operation instruction including a method identification through a computer device, and according to the correspondence between the identification of the method and the analysis method, determining a method identification in the first operation instruction corresponding to a target analysis method, and then analyzes the target business data according to the target analysis method, so that analysis result are obtained, and the analysis results are displayed on the data analysis interface, As that method is analyze under a business scenario in an ERP system, In this way, the process of data analysis is embedded into the business scene of ERP, so that the user can conveniently analyze the target business data by clicking on the corresponding analysis method identification in the process of using ERP system, which simplifies the analysis process of the whole data and greatly improves the timeliness of data analysis.

The invention discloses an electric control cabinet intelligent management and control system based on data analysis, relates to the technical field of electric control cabinet intelligent management and control, solves the technical problem that an electric control cabinet cannot be intelligently managed and controlled through data analysis in the prior art, and judges whether the operation of the electric control cabinet is influenced by the environment or not through real-time environment monitoring. Meanwhile, real-time operation of the electric control cabinet is monitored, so that the electric control cabinet can be reorganized in time, and the management and control efficiency of the electric control cabinet is improved; whether the real-time operation state of the analysis object is qualified or not is judged, so that the real-time operation efficiency of the analysis object is accurately controlled in real time, the working efficiency of the analysis object is ensured, and meanwhile, the situation that the analysis object cannot be timely maintained when the operation state is abnormal is prevented; and meanwhile, the service life of the equipment is shortened due to abnormal operation of the equipment of the analysis object.

The invention provides a video food ordering recommendation method and system. The recommendation method comprises the following steps: reading user information of a food ordering lodger; carrying out analysis and matching in food product information corresponding to food products according to the user information, and selecting a target food product corresponding to the user information; pre-loading a cooking video corresponding to the target food product, and sending the cooking video to a terminal corresponding to the food ordering lodger; playing the cooking video in the terminal according to a triggering instruction which is given by the food ordering lodger through the terminal. According to the recommendation method and system provided by the invention, analysis can be carried out according to the captured information so as to obtain the interest of the current user, model analysis is carried out according to the interest of the user, the group characteristics of a group to which the current user belongs are correspondingly analyzed, and recommendation is carried out by combining the personalized information corresponding to the current user, so that the group characteristics and personalized characteristics are combined to carry out food product recommendation, and the touring demands of different lodgers are satisfied.

The invention discloses a fishery big data detection analysis method and system. The method comprises the steps that all kinds of fishery data, aquaculture water data and environment data are detected and collected in real time to obtain fishery big data; the obtained fishery big data is preprocessed; the preprocessed fishery big data is segmented and stored; and the processed fishery big data is analyzed to obtain a fishery data analysis result. The system comprises a data collection unit, a preprocessing unit, a segmentation unit and an analysis unit. According to the fishery big data detection analysis method and system, a series of analysis and processing are performed on the fishery big data to obtain the fishery data analysis result corresponding to an analysis demand, therefore, feasibility analysis can be performed on fishery, and comprehensive analysis can be performed in combination with various water environment parameters; historical data is mined, so that aquaculture water is not changed in a large range to the maximum extent; and meanwhile, early warning analysis is performed according to needs to effectively ensure aquaculture safety. The fishery big data detection analysis method and system can be widely applied to fishery data analysis.

The embodiment of the invention discloses a traffic stealing account identification method and device. The method comprises the steps that the traffic stealing phenomenon is partitioned into a plurality of scenes according to the traffic characteristics of the traffic stealing phenomenon; traffic data of each scene is subjected to corresponding analysis, and suspected accounts which have the traffic stealing phenomenon are identified; the traffic stealing possibilities of the various suspected accounts are calculated according to the traffic values, the bandwidth values, the counting times andthe traffic characteristics of the various suspected accounts; and the target account which has the traffic stealing phenomenon is screened out according to a possibility threshold and the traffic stealing possibilities of the various suspected accounts. According to the traffic stealing account identification method and device, scene partitioning is conducted by analyzing the traffic characteristics, the suspected accounts are identified according to the different scenes, the analysis range of traffic stealing data is narrowed, the target account stealing the traffic is quickly positioned and discovered by means of cooperation of an identification rule, the traffic stealing account is automatically identified in advance, the processing efficiency is high, and the user complaint possibility is decreased.

The invention provides a wave parameter acquisition method based on sea surface fluctuating target SAR image refocusing. The SAR image of a target area is acquired, and a refocusing algorithm based on inverse transformation and ISAR motion compensation is applied to the data of the SAR image including a motion target sub-image so that the focused SAR image and a phase error compensation curve corresponding to the image are obtained; and the phase error compensation fitting curve of the form of the sine function is combined with the phase error expression in a wave fluctuation motion model to perform corresponding analysis so that the motion amplitude and the period of the fluctuating motion target can be obtained, and the wave height and the period and other parameters can be inferred according to the motion amplitude and the period of the fluctuating motion target. The processing procedure is simple and rapid, the cost is low and the result is accurate, the method has the advantage of data analysis and processing, and only a light and small buoy requires to be placed in a measurement area so that the monitoring mode is simple and easy to implement, coastal information can be accurately measured and area occupation is small without limitation of the sea area.

The present invention provides a system for analyzing an expression profile in which a large number of expression profile data obtained by a next-generation high-speed sequencer, a similar experimental technique, or the like is analyzed at high speed by a general-purpose computer, gene expression patterns are visualized, thereby easily analyzing to which gene a novel gene is similar in function. A system for analyzing an expression profile which analyzes gene expression profile data includes a storage unit which stores the number of counts of mRNAs expressed from a subject gene to be evaluated as expression data under each of a plurality of gene expression conditions for each subject gene name, a correspondence analysis unit which reads the expression data from the storage unit for each subject gene, and carries out correspondence analysis on the basis of the number of counts under each expression condition in expression data, a coordinate conversion unit which converts n-dimensional (n: natural number) scores obtained by the correspondence analysis to coordinate values for m-dimensionally (m: natural number, m≦n) arranging each subject gene, and an image processing unit which carries out plotting along the corresponding coordinate values for each gene to display the result on an image display unit.

The invention relates to a regulation method for the humification parameter in a composting water-soluble organic matter. The main steps comprise: (1) collecting a sample and extracting a water-soluble organic matter; (2) determining the ultraviolet-visible absorption spectrum and three-dimensional fluorescence spectrum of the water-soluble organic matter, and extracting the characteristic humification parameter; (3) extracting the total DNA of bacteria, carrying out PCR amplification and denatured gradient gel electrophoresis (DGGE), cutting the target band from the gel, and sequencing; (4) based on the interrelation between the bacterial population structure and the water-soluble organic matter humification parameter, obtaining the key microorganism affecting the water-soluble organic matter humification by using canonical correspondence analysis; and (5) determining the regulation method of the key microorganism by combining the interrelation between the environmental factor and the key microorganism so as to achieve the indirect promotion of the composting water-soluble organic matter humification by regulating the environmental factor. According to the present invention, the analysis is simple, the technical requirement is low, and the convenient and feasible molecular biological means is provided for the promotion of the compost humification.

The invention discloses a numerical simulation method suitable for the influence of pile shoe plugging on an adjacent pile foundation, and the method comprises the following steps: S1, building a numerical calculation analysis model which comprises a soil body model, a pile shoe foundation model and a pile foundation model according to an actual working condition, and the soil body model comprising an Euler region and a Lagrange region; S2, endowing the established model with material attributes; S3, assembling the established model; S4, establishing a corresponding analysis step; S5, establishing interaction among the pile shoe foundation model, the pile foundation model and the soil body model; S6, establishing a reasonable boundary condition; S7, performing material attribute assignmenton the soil body in the Euler area and applying a ground stress field to the soil body; and S8, meshing the established numerical calculation analysis model, and submitting calculation to obtain results of displacement and bending moment of the pile foundation model. The method conforms to engineering practice. The method is simple, clear and easy to calculate, and related parameters are easy todetermine and reliable.

The waveform display device of the present invention is provided with a waveform pattern storage unit configured to store, in an associated manner, a control command and a waveform pattern of time-series data measured when the manufacturing machine is controlled by the control command, a waveform analysis unit configured to extract a characteristic waveform from the time-series data and identify the control command corresponding to the characteristic waveform with reference to the waveform pattern storage unit, a correspondence analysis unit configured to identify the correspondence between the characteristic waveform and a command included in the control program, based on the control program and the control command corresponding to the characteristic waveform, and a display unit configured to perform display such that the correspondence between the characteristic waveform and the command included in the control program is ascertainable.

The invention provides a debugging method and device of a VR (virtual reality) integrated machine, wherein the method includes: acquiring debug keywords; selecting from an operational log generated by a VR scene displayed by the VR integrated machine, a log record matching with the debug keywords; displaying the log record during displaying of the VR scene by the VR integrated machine. The defect can be overcome that the prior art is unable to perform corresponding analysis according to anomalies occurred during VR displaying.