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93 results about "Statistical relation" patented technology

A statistical relationship is a mixture of deterministic and random relationships. A deterministic relationship involves an exact relationship between two variables. A random relationship is a bit of a misnomer, because there is no relationship between the variables. A statistical relationship is a mixture of the above two relationships.

Internet and computer information retrieval and mining with intelligent conceptual filtering, visualization and automation

The present invention presents embodiments of methods, systems, and computer-readable media for the retrieval, mining, filtering and visualization of information stored on a plural of computers connected to the Internet and on a local computer. Embodiments of this invention generate a conceptual search query using a description provided by a user, perform user selectable conceptual filtering of search results, concept following and link following to expand search results, search for files that may or may not contain certain information, rank concepts contained in search results or one or more files, compute relevancy rank of a file in search results, use conceptual path maps to display logic or statistical relationships among search results, monitor changes in information in a search or a file, and protect files or searches based on information contents.
Owner:LIANG PING

Methods systems and apparatus for analyzing complex systems via prognostic reasoning

Methods and apparatus are provided for analyzing a complex system that includes a number of subsystems. Each subsystem comprises at least one sensor designed to generate sensor data. Sensor data from at least one of the sensors is processed to generate binary evidence of a sensed event, and complex evidence of a sensed event. The complex evidence has more sophisticated mathematical properties than the binary evidence. The complex evidence comprises one or more of: a condition indicator (CI), a health indicator (HI), and a prognostic indicator (PI). A system fault model (SFM) is provided that defines statistical relationships between binary evidence, complex evidence, and an underlying failure mode (FM) that is occurring in the complex system. The binary evidence and the complex evidence are processed to identify failure modes taking place within one or more of the subsystems. Based on the binary evidence and the complex evidence and the SFM, diagnostic conclusions can be generated regarding adverse events that are taking place within the complex system, and prognostic conclusions can be generated regarding adverse events that are predicted to take place within the complex system.
Owner:HONEYWELL INT INC

Method and system for selecting destinations

An example information system contains records of landmarks. The system obtains records of taxi trips between the landmarks and from the taxi trip information derives statistical relationships between the landmarks. A user can provide context information, such as an address or a type of activity. The user can then search the system for landmarks of interest to the user. The system retrieves and presents the user with a set of landmarks which match the user's query based in part on the statistical relationships.
Owner:AHMAD AHMAD M

Spectral reflectance peak decomposition based quantitative inversion method of hyperspectral remote sensing mineral content

The invention relates to a spectral reflectance peak decomposition based quantitative inversion method of the hyperspectral remote sensing mineral content. The method comprises the seven steps of: 1. reading data in; 2. intercepting a reflection peak band; 3. converting a reflectance spectrum and an absorption spectrum; 4. carrying out continuum removal on the spectrums; 5. linearly decomposing the spectrums to obtain the mineral spectrum decomposition content; 6. establishing a statistical relationship between the mineral spectrum decomposition content and the real content; and 7. converting the calculated mineral spectrum decomposition content in the step 5 into the real mineral content according to the established statistical relationship in the step 6. The invention can not only be applied to hyperspectral data which is not covered by a mineral absorption spectrum band, but also can be used for hyperspectral data which is covered by the mineral absorption spectrum band in the spectrum band range, carries out quantitative mineral content inversion by comprehensively applying a spectral reflectance peak and an absorption spectrum band and improves the inversion precision and the inversion accuracy. The invention has practical value and broad application potential in the field of hyperspectral remote sensing mineral identification.
Owner:CHINA AERO GEOPHYSICAL SURVEY & REMOTE SENSING CENT FOR LAND & RESOURCES +1

Method for controlling damage of slope pre-splitting blasting digging based on blast vibration test

ActiveCN104390537ACost-effectiveEngineering promotion and application value is goodSeismologyBlastingStatistical relationBlasting vibration
The invention relates to a method for controlling damage of slope pre-splitting blasting digging based on a blast vibration test. The method comprises the following steps: establishing a statistical relation between the blasting particle peak vibration velocity at a plurality of blasting center distances and the damage depth under different altitude difference conditions by utilizing the blasting digging for a few front steps on the basis of the acoustic detection for a slope blasting digging damage area and the corresponding blasting vibration monitoring, and then utilizing the particle peak vibration velocity induced during the slope bench blasting process to forecast the depth of the digging damage area, and offering a control proposal for single-bump explosive quantity. After the relation between the particle peak vibration velocity and the slope blasting digging damage area is established according to a blasting vibration test result of the front steps and the acoustic detection for the damage area, subsequent steps are only subjected to blasting vibration monitoring, and geological data is combined for comprehensively analyzing and adjusting, so that the depth of the slope digging damage area can be determined and the operation is convenient, quick, high-efficient and economical. The rock slope blasting digging damage can be controlled by controlling the maximum single-bump explosive quantity. The method has high engineering popularization and application values.
Owner:WUHAN UNIV

System and method for applying active appearance models to image analysis

An image processing system and method having a statistical appearance model for interpreting a digital image. The appearance model has at least one model parameter. The system and method comprises a two dimensional first model object including an associated first statistical relationship, the first model object configured for deforming to approximate a shape and texture of a two dimensional first target object in the digital image. Also included is a search module for selecting and applying the first model object to the image for generating a two dimensional first output object approximating the shape and texture of the first target object, the search module calculating a first error between the first output object and the first target object. Also included is an output module for providing data representing the first output object to an output. The processing system uses interpolation for improving image segmentation, as well as multiple models optimised for various target object configurations. Also included is a model labelling that is associated with model parameters, such that the labelling is attributed to solution images to aid in patient diagnosis.
Owner:IBM CORP

Method for synchronously realizing seismic lithofacies identification and quantitative assessment of uncertainty of seismic lithofacies identification

ActiveCN104749624AUncertainty objective realityReduce evaluation riskSeismic signal processingApplicability domainMaximum a posteriori estimation
The invention relates to a method for synchronously realizing seismic lithofacies identification and quantitative assessment of uncertainty of the seismic lithofacies identification. The method comprises the steps of determining the type of the lithofacies and performing logging lithofacies definition, establishing a rock physical response relation between logging physical parameters and elasticity, establishing a probability statistical relation between the lithofacies and logging attributes, establishing the probability statistical relation of well-seismic scale elasticity parameters and constructing the statistical relation of the lithofacies and the seismic scale elasticity parameters, inverting the information of the probability distribution of the elasticity parameters of a target layer, obtaining the lithofacies probability information of the target layer by combining the inverted probability information of the elasticity parameters of the target layer and the statistical relation of the lithofacies and the seismic scale elasticity parameters, obtaining the maximum posterior probability solution of the lithofacies distribution according to the probability information of the lithofacies and outputting final model parameters. The method is capable of quantitatively characterizing the uncertainty of each link of lithofacies identification and the propagation and accumulation characteristics of the uncertainty in the lithofacies identification process, and also capable of performing uncertainty analysis on the seismic lithofacies identification; as a result, the reservoir evaluation risk is reduced; in short, the method is wide in application range.
Owner:CHINA UNIV OF PETROLEUM (BEIJING)

Wind power station short-term power prediction method

The invention provides a wind power station short-term power prediction method. The wind power station short-term power prediction method comprises the steps that 1 a BP neural network is used for establishing the historical data statistics relationship between forecasting factors of a mesoscale numerical value weather forecast and the actually-measured wind speed, at the position of the hub height, of a single fan to generate a wind speed statistics downscaling model of the single fan; 2 according to the forecasting factors of the mesoscale numerical value weather forecast of a wind power station in the following 48 hours and the statistics downscaling model of the single fan in the step 1, the predicted wind speed, at the position of the hub height, of the single fan is generated; 3 according to historical data of the actually-measured wind speed of the single fan and the actually-measured power of the single can, a speed-power characteristic curve of the single fan is fit and the short-term predicted power of the fan is obtained through the combination of the predicted wind speed, at the position of the hub height, of the single fan. Therefore, by means of the wind power station short-term power prediction method, the uncertainty caused by the fact that the mesoscale resolution ratio is insufficient is reduced, and the short-term powder prediction precision of the wind power station is obviously improved.
Owner:ZHONGNENG POWER TECH DEV

Joint estimation of tissue types and linear attenuation coefficients for computed tomography

The present invention is directed to a new joint estimation framework employing MAP estimation based on pixel-based latent variables for tissue types. The method combines the geometrical information described by latent MRF, statistical relation between tissue types and P-C coefficients, and Poisson noise models of PCD data, and makes possible the continuous Baysian estimation from detected photon counts. The proposed method has better accuracy and RMSE than the method using FBP and thresholding. The joint estimation framework has the potential to further improve the accuracy by introducing more information about tissues in human body, e.g., the location, size, and number of tissues, or limited variation of neighboring tissues, which will be easily formulated by pixel-based latent variables.
Owner:THE JOHN HOPKINS UNIV SCHOOL OF MEDICINE

Remote sensing retrieval method for concentration of particulate organic carbon of turbid water body

The invention discloses a remote sensing retrieval method for a concentration of particulate organic carbon of a turbid water body, belonging to the field of remote sensing retrieval of water quality parameters. The remote sensing retrieval method comprises the following steps: acquiring the concentration of water body suspended matters on a surface layer of a research region, the concentration of particulate organic carbon (POC) and data of particle size distribution (PSD) of the suspended matters; acquiring field remote sensing reflectivity and a research region remote sensing image; and processing field remote sensing spectroscopic data so as to acquire a sensitive band of the remote sensing retrieval, establishing a statistical relation among the concentration of particulate organic carbon, the concentration of the suspended matters and the particle size distribution of particulate matters, a remote sensing retrieval model of the concentration of the suspended matters and a remote sensing retrieval model of the particle size distribution, and combining the statistical relation and the two models so as to establish a remote sensing retrieval method for particulate organic carbon based on the concentration and particle size distribution of the suspended matters. According to the remote sensing retrieval method for the concentration of particulate organic carbon of the turbid water body, the physical base of the remote sensing retrieval model can be directly reflected, and the precision of remote sensing retrieval can be improved.
Owner:HANGZHOU NORMAL UNIVERSITY
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