31 results about "Representative element" patented technology

A method is provided for data compression. The data compression method transforms a square of data into a tile of data. The tile of data is then divided into quads of data that are converted into a representative element, a first delta element, a second delta element, a third delta element, and a control word. A new tile of data is then formed with the representative elements, and the process is repeated until a single representative element remains. The single representative element is then embedded into an output stream with the control words and corresponding delta elements. Decompression of the data is symmetrical to the encoding once the bit stream has been parsed.

A control device for a robot determines, as a desired driving force to be imparted to a joint, a component value corresponding to the displacement amount of each joint out of a desired generalized force vector τcmd that satisfies the relationship indicated by expression 01 given below by using basic parameter group of M, N, and Jacobian matrixes Jc and Js, a desired value ↑C of the motion acceleration of a contact portion representative element representing a motion of a contact portion of a robot 1, generalized variable observation information, and a desired value ↑S′ of a first-order differential value of a predetermine type of state amount, and then controls the operation of an actuator of the robot 1 on the basis of the determined desired driving force.S′+(Js*M−1*Tc−Js′)*q′=(Js*M−1*Pc)*(τcmd−τcmpn)   Expression 01

A control device for a robot determines, as a desired driving force to be imparted to a joint, a component value corresponding to the displacement amount of each joint out of a desired generalized force vector τcmd that satisfies the relationship indicated by expression 01 given below by using basic parameter group of M, N, and G, Jacobian matrixes Jc and Js, a desired value ↑C of the motion acceleration of a contact portion representative element representing a motion of a contact portion of a robot 1, generalized variable observation information, and a desired value ↑S′ of a first-order differential value of a predetermine type of state amount, and then controls the operation of an actuator of the robot 1 on the basis of the determined desired driving force.S′+(Js*M−1*Tc−Js′)*q′=(Js*M−1*Pc)*(τcmd−τcmpn)  Expression 01

The invention discloses a method for pre-estimating an equivalent thermal conductivity of an unidirectional fiber toughening composite material based on gap defect identification, wherein the method mainly comprises the following steps: processing a material micro electron microscope image by using a picture identification technology, and identifying material internal structure characteristics and gap defects; according to a fiber volume fraction ratio stability criterion, applying a geometric reconstruction technology, establishing a representative element geometric topology model, and simultaneously determining the gap defects; through a method of adding a thermal contact resistance at a representative element internal interface, introducing influence of the gap defects; and simulating to obtain the equivalent thermal conductivity by using an finite element method. According to the method, the representative element considering the gap defects is established based on image identification of an actual micro structure, and calculation of the equivalent thermal conductivity is carried out, an influence rule of gap defect position, number, thickness and other characteristic parameters on the equivalent thermal conductivity is analyzed, and a technical reference is provided for high precision pre-estimation of the thermal conductivity of same-type composite materials.

Methods for upscaling digital rock modeling data are described. Core-plug samples for pore-scale modeling are chosen using whole-core mini-permeability grids and conventional CT scans. Pore models or pore-network models are used for flow modeling. Borehole-scale models use MPS (Multi-Point Statistics) to combine mini-permeability grids and conventional CTscans of whole core with electrical borehole images to create 3D numerical pseudocores for each RRT (Reservoir Rock Type). Effective SCAL properties computed from various MPS borehole-scale realizations or models are used to populate interwell-scale models for each RRT. Effective properties computed from flow simulations for interwell volumes are used to populate full-field scale models. At the full-field scale, outcrop analogs, sequence stratigraphy, forward stratigraphic models, diagenetic models, and basin-scale models are combined using MPS to improve flow simulations. At every stage, REVs (representative element volumes) are computed to be certain rock heterogeneities have been captured.

The invention discloses a method for optimizing analog circuit measuring points based on a sawtooth wave and a genetic algorithm. The method for optimizing the analog circuit measuring points based onthe sawtooth wave and the genetic algorithm comprises the following steps that fault simulation is carried out on each fuzzy group representative element of each element of the analog circuit for a plurality of times, and the sawtooth wave is used as an input of the analog circuit during analog to obtain fault voltages corresponding to the measuring points under different frequencies, so that analog circuit data are obtained; individuals in the genetic algorithm are initialized, the individuals are processed, then the feature vector of the corresponding measuring points from the analog circuit data is screened according to a measuring point selection scheme corresponding to the individuals, cross-verification is carried out on a preset classifier, the obtained classification accuracy rateis used as a fitness value of the individuals, then a next generation population is generated to continue processing until an iteration end condition is reached, and the individual with the greatestfitness in the current population is used as the optimal individual, and the measuring point selection scheme corresponding to the individual is a measuring point optimizing scheme. The method for optimizing the analog circuit measuring points based on the sawtooth wave and the genetic algorithm can effectively realize the measuring point optimizing and improve the accuracy of fault diagnosis whenanalog circuit fault diagnosis is carried out based on multiple frequencies.

A procedure for provisioning a network, and a system, apparatus, and computer program that operate in accordance with the procedure. The procedure comprises performing a provisioning action to provision a traffic flow in a network. A graphical representation of a portion of the network is provided based on a result of the provisioning action. In one example aspect, the graphical representation comprises a plurality of representative elements representing one or more network components and one or more links between at least two of the plurality of representative elements. The network components comprise, for example, at least one of a network element, an optical channel, or a cross-connection, or the like.

A method of implementing a personalized call-back protocol between an object X of a client process and an object S of a server process in an environment based on an ORB distributed object manager allocates a connection point CP3 of the server object S to a client object X of a call-back service offered by the server object. The connection point includes a marshaling interface IMarshal for implementing an object-object protocol between the client object X and the connection point CP3 by means of a personalized pair of representative elements of the connection point and that personalized pair enables implementation of the particular call-back protocol.

The invention relates to a method for quickly determining the size of representative element volume of a porous medium 3D reconstruction model, which belongs to the field of porous medium parameter research. Spherical particles following specific particle size distribution are randomly stacked through a discrete element method according to the generation process of a porous medium to get a porousmedium reconstruction model. A large enough volume element is selected, different resolutions are selected to sample the reconstruction model and calculate the permeability, an appropriate resolutionis determined, and a 3D digital image based on the reconstruction model is obtained. The porosity, the specific surface area, the permeability and the change of the variation coefficient of each parameter along with the size of the volume element are calculated, a change relation curve is obtained, the representative element volume of the reconstruction model is determined, and the relation between the representative element volume size and the average particle size is determined using the least squares method. The method can be used to quickly determine the size of representative element volume of the porous medium 3D reconstruction model.

The present invention relates to a method and arrangement for reducing feedback data in a communication system, said communication system comprising a number of transmitter antennas, nτ, and a number of receiver antennas, nR, for parallel spatially independent transmission and reception of signals, wherein a channel response is represented by a matrix (G) containing nR×nτ complex variables. The method comprises the steps of: decomposing an expression of said channel response matrix (G) into products of a unitary transform (V), nR×nτ diagonal matrix (Λ) and a conjugate transpose of a unitary matrix (W). Choosing said unitary matrix (W) such that its diagonal elements are real, substituting said channel response matrix (G) with a representative subset of elements in said decomposed expression of said channel response matrix (G), said representative subset comprising diagonal of a first matrix (Λ) and lower triangle of a second matrix (W) excluding the diagonal.

The invention relates to a bearing (10) including an inner ring (12), an outer ring (11), and rolling bodies positioned between the inner and outer rings, one of the rings being rotary and the other not, the bearing further including:a first module (20) including at least one set of sensor(s) suitable for performing successive measurements of at least one parameter representative of the vibrations within the bearing; anda second module (20) suitable for determining a frequency representation of the signal corresponding to the successive measurements, and for obtaining a set of elements(s) representative of the frequency representation based on that frequency representation, so as to compare at least one representative element of the set with a corresponding reference element and identify a malfunction based on that comparison (10).

The embodiment of the application discloses a map construction method, and a navigation method and device. An embodiment of the map construction method comprises the following steps: acquiring radar scanning reflection data of a current frame; determining similarity of the current frame and a key frame based on the radar scanning reflection data; in response to a condition that the similarity of the radar scanning reflection data of the current frame and the key frame does not exceed a similarity threshold, determining a location identifier for indicating the location of the current frame; andadding the radar scanning reflection data of the current frame and the location corresponding to the current frame to a radar scanning reflection data set with the determined location identifier, andregarding the current frame as the new key frame. By continuously collecting the radar scanning reflection data, the amount of the radar scanning reflection data under various location identifiers can be updated and enriched, so that the environment representative element can be continuously updated and enriched.

The invention discloses a method and system for selecting samples of a pulveryte analysis experiment. The method comprises the following steps: obtaining initial information corresponding to geological materials of pulveryte, and carrying out primary classification on the geological materials according to the initial information; selecting and scanning the geological materials under each category, and obtaining the element types, the element contents and the variation trend corresponding to the geological materials; optionally selecting two element types for carrying out correlation analysis, and determining a corresponding element group of each element according to the correlation analysis; establishing a first corresponding relationship between the element groups and main control factors; selecting representative elements, and establishing a second corresponding relationship between the representative elements and designated evaluation parameters; carrying out clustering analysis by utilizing a longest distance method, and carrying out secondary classification on the geological materials; selecting target samples according to a secondary classification result. According to the method and the system, provided by the invention, the selecting efficiency and the accuracy of the samples of the pulveryte analysis experiment can be increased.

The invention discloses an evaluation index system construction method based on distance classification of images and principal component analysis. The method comprises the steps of selecting initial evaluation indexes; performing index classification based on distance classification of images; performing index screening based on principal component analysis; and obtaining a simplified index system. Elements with high correlation are divided into a class by using a classification method of combining correlation coefficients with the shortest path in the graph theory, namely an image distance classification method, and index representative elements are selected from each class for principal component analysis, so that the information processing workload is reduced. Retention indexes in the principal component analysis and indexes belonging to the same class as the retention indexes are selected as important indexes for constructing an index system, so that missing of important indexes is avoided.

The invention applies to the field of algorithms, and provides a feature-based load selecting method and system. The method comprises the steps of preprocessing feature data to be processed; classifying the feature data to be processed through the feature clustering algorithm; acquiring representative element of each class; selecting high-accuracy load corresponding to the feature according to the mutual information and the representative elements. According to the method, the feature data to be processed are preprocessed and then classified through the feature clustering algorithm to obtain the representative element of each class, and then the high-accuracy load corresponding to the feature can be selected according to the mutual information value and the representative elements; the method and the system are high in efficiency and can increase the load selection efficiency.

Embodiments of the present invention address deficiencies of the art with respect to modeling a process having a visual representation and provide a method, system and computer program product for importing a visual representation of a process for use in an application. In one embodiment, a computer-implemented visual process model importation method can include identifying an arrangement of one or more visual objects in a visual process model, selecting associations between the visual objects and corresponding representative elements for a target process model, mapping the visual objects in the source model into the selected corresponding representative elements for the target process model, and producing the target process model for the visual process model using the mapping. The method subsequently can include providing the target process model as input to an application such as a simulation engine, a workflow engine or a visual collaboration and documentation system.

The invention relates to a bearing (10) including an inner ring (12), an outer ring (11), and rolling bodies positioned between the inner and outer rings, one of the rings being rotary and the other not, the bearing further including:a first module (20) including at least one set of sensor(s) suitable for performing successive measurements of at least one parameter representative of the vibrations within the bearing; anda second module (20) suitable for determining a frequency representation of the signal corresponding to the successive measurements, and for obtaining a set of elements(s) representative of the frequency representation based on that frequency representation, so as to compare at least one representative element of the set with a corresponding reference element and identify a malfunction based on that comparison (10).

The invention discloses a method for selecting representative elements in a road network distance calculation. The method comprises following steps: abstract graph data of an entire road network is divided into multiple parts by use of a graph division method, and each part is a connected sub-graph; a representative element is selected for a node of each connected sub-graph on the basis of a determined error upper limit, and the mapping relate between the node and the representative element is saved. By use of the method provided by the invention, representative elements can be effectively selected and satisfy the error upper limit, and can be parallelly processed so that processing speed is increased.

Systems and methods for structuring information include determining information quantity (IQ) and information value (IV) in an original digital information file (ODIF). An initial manipulation process applied to the ODIF forms a first resulting DIF (FRDIF), and a subsequent manipulation process applied to the FRDIF forms a second resulting DIF, wherein each manipulation process removes at least one element of the processed DIF and / or represents an element combination with a representative element and a first indicia of an interrelationship between the representative element and one or more elements in the combination, to reduce the IQ of the processed DIF, while retaining the IV thereof within a threshold. Manipulation processes are successively applied to the previously resulting DIF until successive applications do not achieve a threshold reduction in IQ. The last resulting DIF has a primary structure with a reduced IQ and an IV within the threshold of the original IV.

The present invention discloses a SRV function-based collaborative filtering recommendation algorithm. The method comprises the following steps of classifying all perceived attributes of users according to the data of all users: firstly classifying all users by specifically adopting the K-means clustering method; extracting category features to obtain the representative elements of corresponding categories, and then obtaining a corresponding spider diagram; firstly calculating the distance of each representative element of a newly added user and judging whether the user belongs to one category or not; if yes, adding the user to the above category; if not, turning to the next step; rotating each newly added user till an optimal rotation angle is found out, wherein each rotating angle can be determined according to the number of categories. The method is high in efficiency and high in precision.

The invention discloses a development method for determining a copper smelting slag multi-element standard sample through X-ray fluorescence spectrometry. The development method comprises the following steps: preparing a standard sample; examining uniformity; determining analysis of standard value on components in the standard sample; performing the analysis of standard value; performing the analysis on data summarization, processing and performing the analysis on the result precision; performing inter-laboratory comparison tests; performing standard value determination; and examining a linearrelation of representative elements in the standard sample through a X-ray fluorescence spectrometer. A development method of the standard sample can satisfy the requirement of the standard sample bythe X-ray fluorescence spectrometer, and the standard sample and a detected sample are prepared to a similar and reproducible state; and the sample and the standard sample have consistent physical property and approximate chemical composition as possible. The method can be used for preparing the appropriate standard sample used for an X-ray fluorescence spectral analysis by the slag obtained by smelting enterprises according to self attribute of raw materials, and has high economic value and strong practicality.

Systems and methods for structuring information include determining information quantity (IQ) and information value (IV) in an original digital information file (ODIF). An initial manipulation process applied to the ODIF forms a first resulting DIF (FRDIF), and a subsequent manipulation process applied to the FRDIF forms a second resulting DIF, wherein each manipulation process removes at least one element of the processed DIF and / or represents an element combination with a representative element and a first indicia of an interrelationship between the representative element and one or more elements in the combination, to reduce the IQ of the processed DIF, while retaining the IV thereof within a threshold. Manipulation processes are successively applied to the previously resulting DIF until successive applications do not achieve a threshold reduction in IQ. The last resulting DIF has a primary structure with a reduced IQ and an IV within the threshold of the original IV.

The invention applies to the field of algorithms, and provides a feature-based load selecting method and system. The method comprises the steps of preprocessing feature data to be processed; classifying the feature data to be processed through the feature clustering algorithm; acquiring representative element of each class; selecting high-accuracy load corresponding to the feature according to the mutual information and the representative elements. According to the method, the feature data to be processed are preprocessed and then classified through the feature clustering algorithm to obtain the representative element of each class, and then the high-accuracy load corresponding to the feature can be selected according to the mutual information value and the representative elements; the method and the system are high in efficiency and can increase the load selection efficiency.

A method is provided for data compression. The data compression method transforms a square of data into a tile of data. The tile of data is then divided into quads of data that are converted into a representative element, a first delta element, a second delta element, a third delta element, and a control word. A new tile of data is then formed with the representative elements, and the process is repeated until a single representative element remains. The single representative element is then embedded into an output stream with the control words and corresponding delta elements. Decompression of the data is symmetrical to the encoding once the bit stream has been parsed.

The invention relates to the technical field of textiles, in particular to a method for calculating the anti-ultraviolet ability of cloth. The present invention relates to a calculation method for theanti-ultraviolet ability of cloth, and the specific calculation method is as follows: the representative elements of cloth fiber weaving structure being established and the finite element mesh is divided; inputting the spectral lines or bands of cloth and auxiliaries; setting the frequency and intensity of incident ultraviolet rays, and the intensity of incident ultraviolet rays I (r, 1); a non-equilibrium radiation model for ultraviolet transport of fabric being established; a finite volume method being used to simulate the discrete process of reflection, absorption and penetration of ultraviolet rays; calculating the frequency and intensity of ultraviolet rays penetrating the cloth region. The ultraviolet protection capability of the cloth at different time is calculated according to the ultraviolet transmission intensity. Compared with the prior art, the anti-ultraviolet ability of different textile fabrics can be calculated according to the specific algorithm according to different kinds of textile fabrics, so that the anti-ultraviolet ability of different textile fabrics can be determined according to the strength of the anti-ultraviolet ability of different textile fabrics.

A method is provided for data compression. The data compression method transforms a square of data into a tile of data. The tile of data is then divided into quads of data that are converted into a representative element, a first delta element, a second delta element, a third delta element, and a control word. A new tile of data is then formed with the representative elements, and the process is repeated until a single representative element remains. The single representative element is then embedded into an output stream with the control words and corresponding delta elements. Decompression of the data is symmetrical to the encoding once the bit stream has been parsed.

The invention discloses a method and system for selecting samples of a pulveryte analysis experiment. The method comprises the following steps: obtaining initial information corresponding to geological materials of pulveryte, and carrying out primary classification on the geological materials according to the initial information; selecting and scanning the geological materials under each category, and obtaining the element types, the element contents and the variation trend corresponding to the geological materials; optionally selecting two element types for carrying out correlation analysis, and determining a corresponding element group of each element according to the correlation analysis; establishing a first corresponding relationship between the element groups and main control factors; selecting representative elements, and establishing a second corresponding relationship between the representative elements and designated evaluation parameters; carrying out clustering analysis by utilizing a longest distance method, and carrying out secondary classification on the geological materials; selecting target samples according to a secondary classification result. According to the method and the system, provided by the invention, the selecting efficiency and the accuracy of the samples of the pulveryte analysis experiment can be increased.