63 results about "Transformation geometry" patented technology

A projection system uses a transformation matrix to transform a projection image p in such a manner so as to compensate for surface irregularities on a projection surface. The transformation matrix makes use of properties of light transport relating a projector to a camera. If the resolution a camera is lower than that of a projector within said projection system, then the transformation matrix will have holes where image data corresponding to a projector pixel will have been lost. In this, case, new image are generated to fill-in the holes.

The invention discloses a fine-grained emotion polarity prediction method based on a hybrid attention network, and aims to overcome the problems of lack of flexibility, insufficient precision, difficulty in obtaining global structure information, low training speed, single attention information and the like in the prior art. The method comprises the following steps: 1, determining a text context sequence and a specific aspect target word sequence according to a comment text sentence; 2, mapping the sequence into two multi-dimensional continuous word vector matrixes through log word embedding;3, performing multiple different linear transformations on the two matrixes to obtain corresponding transformation matrixes; 4, calculating a text context self-attention matrix and a specific aspect target word vector attention matrix by using the transformation matrix, and splicing the two matrixes to obtain a double-attention matrix; 5, splicing the double attention matrixes subjected to different times of linear change, and then performing linear change again to obtain a final attention representation matrix; and 6, through an average pooling operation, inputting the emotion polarity into asoftmax classifier through full connection layer thickness to obtain an emotion polarity prediction result.

A font style transfer and transformation method based on Manchu character picture belongs to the field of image processing, which solves the problems of greatly reducing the time and labor cost spentin processing a large number of Manchu character images. The main points are that the manchu font style transfer model is trained step by step: the manchu character training data set is used for training the model to realize the manchu character learning; a mandarin font style migration data set is use to train that model again to realize the mandarin font style migration learning, and the effectis to save a large amount of time and labor cost.

The invention provides a monocular visual positioning method based on inverse perspective projection transformation. The technical scheme employed in the invention is that: an attitude sensor and a camera are fixed together and arranged on a wheeled vehicle; and images shoot in driving are subjected to the following processes: step 1, carrying out inverse perspective projection transformation on an image sequence; step 2, obtaining transformation matrixes between adjacent images through calculating; and step 3, determining a driving locus curve of the wheeled vehicle. The method allows high accurate positioning results to be obtained by assisting to position the wheeled vehicle through real time attitude information obtained by the attitude sensor, and the perspective effect to be eliminated through carrying out inverse perspective projection transformation on the images, so the precision of wheeled vehicle positioning can be further improved.

The invention relates to an AADL2TASM model transformation method, which is used for transforming an AADL model into a TASM model. KM3 is used for describing the meta-model of the source language AADL and the meta-model of the target language TASM, and aimed at a thread component, a dispatcher, mode conversion and a scheduler in the AADL model, a transformation method for the thread component, a transformation method for the dispatcher component, a transformation method for the mode conversion and a transformation method for the scheduler component are respectively used for transforming the AADL model into the TASM model.

The invention provides a constraint heteroscedasticity linear discriminant analysis method for language identification, which relates to a method for the dimension reduction and decorrelation of high-dimension feature vectors. The method is characterized in that MFCC features are extracted from voice signals; the MFCC features of continuous M frames are selected and placed in parallel so as to obtain a cepstrum matrix; the cepstrum matrix is expanded according to rows to form super vectors; the mean and covariance of the super vectors are calculated by the block; a transformation matrix is calculated by the block by an iteration method; the super vectors are transformed by the block by use of the transformation matrix; and each block is subjected to dimension reduction and decorrelation treatment so as to obtain new feature vectors. The method has the advantage of obtaining the feature vectors of which the correlation among dimensions is removed, along with small amount of calculation, high discriminant property and low dimension, and can be used for language identification.

The present invention belongs to the wireless communication method technical field and relates to a spectrum sensing method based on the alpha-divergence of information geometry. The method includes the following steps that: a cognitive radio model is established, a noise environment is simulated, so that N noise covariance matrices Rk are generated, and one of the N noise covariance matrices Rk is adopted as a unit to be detected R; the Riemann mean overlineR of the N noise covariance matrices Rk is calculated through using a natural gradient descent algorithm, a geometric distance L betweenthe detection unit R and the Riemann mean overlineR is calculated; n geometric distances L are sequenced in a descending order, and a threshold value T is calculated; simulation is performed, so thata plurality of unknown signal covariance matrices are generated, and the alpha-divergence of the information geometry is adopted to solve distances D between the signal covariance matrices and a knownsignal matrix in manifold; and the threshold value T is compared with the distances D, if D is larger than T, signals to be sensed exist, otherwise, only noises exist. The method of the invention hasthe advantages of simple and practical calculation process, high spectrum sensing efficiency and high spectrum sensing stability.

The invention provides a Karhunen-Loeve Transform (KLT) matrix training method for a video intra-frame coding belonging to the video coding field in a signal treatment. The invention firstly picks-up a residual signal frequency spectrum under each intra-frame prediction model, then groups a residual sample and gets a candidate KLT matrix by using a conventional method, optimizes each candidate KLT matrix by using a low frequency subband preferential replacement policy and calculates the optimized transformation performance, and selects an optimization KLT matrix with best transformation performance as a transformation matrix of the residual signal under the prediction model. The invention avoids great calculation amount for real-timely training the KLT matrix during the coding, reduces an additional bit overhead for showing the training matrix, and the trained matrix has very good transformation performance.

The invention discloses an intelligent extracting method for engineering characteristic indexes in paragraph contents of a word document of a transmission and transformation project. The method sequentially comprises the following steps of creating an engineering characteristic index library; extracting the outline of the engineering characteristic indexes; and extracting the paragraph contents of the engineering characteristic indexes. The created index library serves as a foundation database for extracting the engineering characteristic indexes; and when the characteristic indexes of the transmission and transformation project are extracted, the outline of the characteristic indexes is extracted at first, then the paragraph contents are extracted, and after the paragraph contents are extracted, the required characteristic indexes of the transmission and transformation project are obtained. By using the extracting method, the required characteristic index information of the transmission and transformation project can be automatically extracted from a designed file, and the work efficiency of an expert on a design review is improved.

The invention relates to an encryption method of the shifting rule and the transposition rule of a double circulation queue. The method comprises the following steps: a plaintext information matrix is taken; a random integer sequence is created; a matrix transformation frequency is input by user; a random number is taken out from the random integer sequence and is rounded; circular queue shifting and transposition of one row or one column of the transformation matrix are carried out according to a set remainder rule; a cipher text matrix is obtained after repeated transformations; finally, all transformation operation processes are recorded as sub keys which are arranged in turn to obtain a key. The encryption method, which belongs to a classic permutation encryption, adopts basic shifting operation and realizes quick enciphering process and deciphering process by means of less resource; meanwhile, the method solves the problems of the prior shifting encryption method such as low encryption intensity, low speed and poor operability; moreover, the encryption method which has the advantages of high encryption speed, simple implementation, high encryption intensity, excellent safety and a wide application scope is suitable to be used in software implementation and hardware implementation.

The invention relates to a manual web page optimizing method during web page transformation. The method comprises the steps as follows: (1) optimizing range is selected, and a web page of the optimizing range is pre-browsed; (2) each continuum of browsed web page requiring manual optimizing transformation is selected, and corresponding transformation rule is set towards each continuum; and (3) when the automatic transformation of the web page is carried out on a transformation engine, the corresponding optimizing transformation rule is preferentially applied to the area which is provided with the optimizing transformation rule. The optimizing unit is generally a specific Scope URL, a website and a specific route under the website and also can be a specific web page, etc. The optimizing transformation rule generally comprises folding, hiding, newline, inserting and/or font, etc. The invention overcomes the disadvantage that the transformation rule which is set uniformly in advance is not fit for corresponding website or web page, and the invention improves the transformation effect and ensures that the transformed web page is more practicable and nicer.

The invention discloses a transformation matrix-based transformer three-phase model building method. The method comprises the following steps of establishing an original admittance matrix Yp of a three-phase transformer, and according to primary and secondary side connection modes of the transformer, modifying a transformation ratio of the matrix Yp; according to the primary side connection mode,determining a primary side voltage transformation matrix Cp; according to a primary and secondary side wiring mode, determining Csp and Cps; according to mark numbers of groups, converting a basic secondary side voltage transformation matrix Css through a transformation matrix to obtain a secondary side voltage transformation matrix Cs and modifying Cps; according to sub-matrixes of the voltage transformation matrixes, forming a voltage transformation matrix C and a current transformation matrix G of the transformer; and according to the matrix Yp and the transformation matrix, deriving a nodeadmittance matrix YTn of the three-phase transformer. The method solves the problem that a relation matrix method is not suitable to obtain node admittance matrixes of transformers of certain connection groups, further reduces the software writing workload and the error probability, and improves the accuracy of obtaining a three-phase model of the three-phase transformer.

The invention provides a geometric body cross section demonstration device comprising a transparent geometric body container and a needle tube injector. One side of the geometric body container is provided with an air hole, and the opposite side is provided with a liquid inlet hole. The liquid inlet hole is internally provided with a protruding short conduit. The short conduit is flexibly connected with the injection port of the needle tube injector. Liquid is arranged in the needle tube injector. The liquid volume in the geometric body container is directly controlled by pushing and pulling the piston of the needle tube injector, and the liquid surface is enabled to present the shape of the cross section by changing the position and the angle of the geometric body container so that control is facilitated, the teaching efficiency can be enhanced, the liquid is absorbed out of the geometric body container into the needle tube injector after completion of teaching, and thus the device is easy to carry and is not liable to damage.

The invention provides a folding ruler which is formed by serially connecting a plurality of ruler bodies through rivets and mainly used for teaching. When the folding ruler is used, the length of the folding ruler can be adjusted according to using needs, and then a teacher can utilize the folding ruler to perform measurement calculation and plotting on the blackboard. Besides, by changing folding modes of the folding ruler, the teacher can make a variety of geometric shapes to perform explanation for students. Therefore, the folding ruler has the advantages of performing calculation and geometric shape transformation, and facilitating improvement on understanding of the students.

The invention discloses a method for predicting investment for power transmission and transformation projects for power grids on the basis of particle swarm algorithms. The method includes analyzing key indexes for predicting the investment for construction costs for the power transmission and transformation projects; analyzing unit projects of the power transmission and transformation projects; analyzing systems for predicting the investment for the power transmission and transformation projects. The method has the advantages that investors can accurately master conditions of the construction costs of the new construction projects in initial construction periods, review staffs can reasonably and quickly review conditions of construction costs for specific initial design schemes, accordingly, influence of subjective factors in construction cost management procedures can be reduced, and the purpose of providing bases for investment decision making can be achieved; the key indexes which can affect prediction of the investment for the power transmission and transformation projects start to be determined from decision making phases of the power transmission and transformation projects, historical project data are mined, the key unit projects of the power transmission and transformation projects are determined, the systems for predicting the investment for the power transmission and transformation projects are constructed by the aid of the particle swarm algorithms, and accordingly theoretical bases can provided for controlling the construction costs for the power transmission and transformation projects and reasonably planning the investment for the projects by all levels of competent departments and related units for the power grids.

The invention relates to a result post-processing oriented OpenFOAM finite volume analysis result data format and transformation method thereof. The step includes: finding an OpenFOAM grid file and aresult data file; matching expressions containing data information in the grid file and the result data file by using regular expressions; establishing and completing mapping relationships between alldata files; defining a data storage form (syntax, semantics, and a format of an XML file); and generating and exporting data files with the mapping relationships according to the XML file format. Theinvention provides a syntax of XML format, realizes automatic transformation of OpenFOAM result data file to the XML format, and provides an interface file for post-processing of OpenFOAM simulationcalculation results and secondary development. The file structure is clear and intuitive, and facilitates reading and data extraction and transmission.

When deducing a homography matrix representing a geometrical relationship between two images, an image processing apparatus obtains a transformation matrix for four feature points in each of the two images based on reference coordinates. More specifically, the apparatus obtains the area of a triangle formed by three out of the four feature points, and calculates projective parameters of transformation matrices from the area ratios. The apparatus calculates the homography matrix between the images by the product of one of the two obtained matrices and an inverse matrix of the other.