43 results about "Matrix space" patented technology

The invention discloses an RFID (Radio Frequency Identification )-based grid positioning system and method. The system comprises a RFID reader-writers for obtaining information of an object to be positioned through an antenna, electronic tags for recording related information of the object to be positioned, and a server, wherein the server transmits an instruction signal to the RFID reader-writers and the electronic tags according to the requirement of a user, so as to obtain a coordinate of an electronic tag of the object to be positioned. The positioning method comprises the steps of establishing a two-dimensional matrix space from a area to be positioned, wherein four RFID reader-writers (respectively formed by a plurality of virtual grid units) are arranged at four corners of the two-dimensional matrix space, and each virtual grid unit comprises two or four virtual reference tags; and judging detection ranges of the RFID reader-writers so as to obtain a preliminary position of the object to be positioned, and then positioning the object to be positioned according to the virtual reference tags in a preliminary position. According to the scheme disclosed by the invention, the non-contact operation is adopted, and thus the application is relatively convenient, the sensitivity is good, and objects in high-speed motion can be identified, and a plurality of objects can be identified and read simultaneously.

Techniques for concatenating, interpolating and upsampling pose transforms represented as dual quaternions are described, including: (1) derivation of a complex-valued matrix form of dual quaternions and dual quaternion operations; (2) derivation of a transformation operator on position vectors which obviates an explicit conversion to a classical 4×4 spatial transformation matrix and keeps results in complex-valued matrix space; (3) design for a generic lookup table system for functions to supply logarithm and exponentiations of the dual quaternion in its native format with trigonometry lookup tables to avoid precision issues when denominators tend to zero; and (4) a mechanism for wrapping the complex-exponentiation together with a simple complex arithmetic unit for computing dual quaternion macro-operations in both native dual quaternion space and through simplifications of the equivalent complex-valued matrix to compute dual quaternion operations such as inverses, multiplications, logarithms and exponentials in order to chain the pose transformations encoded within.

The invention discloses a method for automatically constructing an emotional dictionary for commodity reviews, containing text preprocessing, semantic relationship mining, and emotional word clustering, wherein the text preprocessing is used to preprocess commodity reviews and extract emotional words and evaluation objects contained in a certain category of product reviews; the semantic relationship mining is used to mine the semantic relationship between the emotional words and evaluation objects, and use the form of matrix to represent the semantic relationship between the emotional words and evaluation objects; and the emotional word clustering is used to performing unsupervised clustering on the emotional words according to the mutual distance of the emotional words in the emotional matrix space so as to reasonably classify the emotional words into k categories. The invention constructs a domain sentiment dictionary aiming at the characteristics of the text in the field of commodity review, which may classify the emotional words into multiple categories instead of traditional praise and disparage categories. For commodity review fields, domain sentiment dictionaries have greatadvantages compared with other current general sentiment dictionaries in the emotional classification task and other aspects.

The invention discloses a preparation method for a ceramic particle reinforced metallic matrix space lattice composite material. The preparation method comprises the following steps that (1) a metal mold comprising a plurality of globular cavities arranged in a plane lattice manner is manufactured, the mold can be divided into upper and lower parts, and a metal net is arranged between the upper and lower parts; (2) ceramic particles and a binder are mixed to prepare slurry, the metal mold is filled with the slurry, compaction and high-temperature sintering are carried out, and single-layer prefabricated bodies are manufactured; (3) metal nets are placed between the single-layer prefabricated bodies for stacking and arranging layer by layer, a binder is added for bonding, high-temperature sintering is carried out, and three-dimensional prefabricated bodies are manufactured; and (4) the three-dimensional prefabricated bodies are placed into a sand mould prepared in advance, pouring of metallic matrix melt is carried out, and infiltration is carried out to prepare the ceramic particle reinforced metallic matrix space lattice composite material. By means of the preparing method, the problem that a micron-order ceramic particle reinforced steel-based composite material is difficult to achieve ordinary pressure permeation and insufficient in toughness is solved.

The invention discloses an antenna selection method based on a massive MIMO system, comprising: 1) all users feeding complete channel state information to a base station; 2) based on the hypothesis that the power distribution of all selected antennas is uniform, calculating the channel capacity of each alternative antenna, and selecting an antenna with a largest channel capacity as a first selected antenna; and 3) based on the selection of the first antenna, and according to the related properties of a matrix space, continuously selecting antennas utilizing spatial domain resources to the most until the number of required antennas is realized. The method takes full advantage of a space free degree, possesses low complexity, is easy to realize, and maintains better system performance.

The invention provides a cross angle of view gait recognition method based on two-dimensional coupling margin Fisher analysis. According to the invention, the characteristics of a gait energy graph at different angles of view and the superiority of coupling metric learning in the aspect of cross-domain biometric feature recognition are combined; two-dimensional coupling margin Fisher analysis is provided; data difference of the cross angle of view gait energy graph in matrix space is weakened; local relation among samples is kept; the intra-class divergence is the largest; the intra-class divergence is the smallest; and the cross angle of view gait recognition performance is greatly improved.

The invention provides a method and system for evaluating and analyzing mechanical properties of a conglomerate. The method comprises the steps that X-ray CT scanning is performed on an obtained conglomerate sample to obtain a three-dimensional digital core data volume, and the spatial structure of the three-dimensional digital core data volume is reconstructed to obtain conglomerate particle andmatrix space information; according to the conglomerate particle and matrix space information, the conglomerate sample is separated to obtain conglomerate particles and a matrix; a Brinell hardness test is performed on the mechanical properties of the conglomerate particles and matrix to obtain macroscopic mechanical parameters of the conglomerate particles and matrix; according to the macroscopicmechanical parameters of the conglomerate particles and matrix, a discrete element numerical method is used for analyzing microscopic mechanical parameters of the conglomerate particles and matrix; according to the microscopic mechanical parameters of the conglomerate particles and matrix, a discrete element numerical simulation model used for analyzing the microscopic mechanical properties of the conglomerate particles and matrix is established. According to the scheme, the real conglomerate distribution of the core or formation can be well modeled, and the results meet the actual requirements.

The invention belongs to the technical field of a robot and discloses an uncalibrated vision servo trajectory planning method of a robot based on a projective homography matrix. The method comprises steps that firstly, an ideal image and a reference image are obtained, secondly, in combination with the matching relationship between an initial image and the ideal image and the reference image, a true value of the projective homography matrix between the initial image and the ideal image and a true value of an infinity projective homography matrix are calculated, and lastly, trajectory planningin the projective homography matrix space is carried out according to the true value of the projective homography matrix. The method is advantaged in that the trajectory planning process involved doesnot require any camera parameters at all, the generated trajectory of the projective homography matrix space is equivalent to combination of the linear motion and the optimal rotational motion of a camera in the three-dimensional space, and improvement of performance and robustness of the vision servo technology without calibration is facilitated.

A selective PEG algorithm, creating a sparse matrix while maintaining row weight/column weight at arbitrary multi-levels, and in the process, inactivating an arbitrary edge so that a minimum loop formed between arbitrary nodes is enlarged or performing constrained interleaving, so that encoding efficiency in the case where a matrix space is narrow is improved.

The invention belongs to the technical field of vacuum film plating, and particularly to a designing method for an antireflection film for laser wavelength. The method comprises the following steps: 1) measuring refractive indexes of an H layer and an L layer through an ellipsometer; 2) computing physical thicknesses of the H layer and the L layer on an ideal setting condition; 3) setting the physical thickness space of the H layer to [(1-absolute value of (deltaH))dH,(1+absolute value of(deltaH)dH), and setting the physical thickness space of the L layer to [(1-absolute value of (deltaL)dL,(1+absolute value of (deltaL)Dl); 4) performing uniform layering on the H layer and the L layer; 5) discretizing the refractive indexes of an H layer and an L layer according to a preset layer number; 6) matrixing the thickness spaces of the H layer and the L layer, determining a step length according to control precision of depositing equipment, and computing residual refractive indexes in the physical thickness spaces; and 7) searching and determining a minimum point of the residual refractive indexes in a physical thickness matrix space, wherein the physical thickness layers of the corresponding H layer and the L layer are designed results.

The invention belongs to the technical field of medical image processing, and particularly relates to a method and a system for extracting image characteristics of diffusion tensor. The method for extracting the image characteristics of the diffusion tensor comprises the steps of a, calculating a tensor eigenvalue of a DTI (diffusion tensor imaging) image in the principal direction, and analyzing distribution characteristics of tensor eigenvalues of all images; b, constructing a weight matrix according to the distribution characteristics of the tensor eigenvalues, and establishing and optimizing a weight matrix based target function so as to construct a new characteristic space; and c, solving the target function to acquire a multi-linear projection matrix, projecting a DTI tensor eigenvalue based matrix space to multiple linear sub-spaces, and carrying out characteristic extraction and dimensionality reduction on DTI images of the sub-spaces. The method provided by the invention not only can effectively reflect various sample characteristics, but also can reduce the calculation cost, diffusion characteristics of the diffusion tensor image on three principal directions are fully dug on the basis of keeping the original image structure information, purposes of dimensionality reduction and characteristic extraction are realized, and a dimensionality curse is avoided effectively.

To provide matrix for magnetic separator capable of sorting magnetic and non-magnetic particles highly accurately and efficiently and enabling previous simulative recognition of correct magnetic force distribution in matrix space, and magnetic separator.

Matrix for magnetic separator of present invention includes: entirely approximately wavelike plate-shaped magnetic walls each having orderly structure of wave-shaped bent sections continuously repeatedly formed in wave advancing direction and each having wave height h of ≦1 mm and approximately inverted V- or U-shape; and entirely approximately box-shaped housing part housing magnetic walls and having in opposite surfaces, introducing and discharging parts through which sorting target fluid containing magnetically-attractable substance magnetically-attractable to magnetic walls is passed thereinto/therefrom, magnetic walls arranged in juxtaposition such that convex shapes of wave-shaped bent sections in one magnetic wall face concave shapes thereof in another magnetic wall adjacent to one magnetic wall with constant interval therebetween.