32 results about "Signature matrix" patented technology

Methods and systems for anomaly detection and correction include generating original signature matrices that represent a state of a system of multiple time series. The original signature matrices are encoded using convolutional neural networks. Temporal patterns in the encoded signature matrices are modeled using convolutional long-short term memory neural networks for each respective convolutional neural network. The modeled signature matrices using deconvolutional neural networks. An occurrence of an anomaly is determined using a loss function based on a difference between the decoded signature matrices and the original signature matrices. A corrective action is performed responsive to the determination of the occurrence of the anomaly.

A method for generating a minimal set of Analytical Redundancy Relations representing a system to which a plurality of sensors is associated for the observation of variables indicative of operating conditions and adapted to enable detection and isolation of faults. The minimal set of Analytical Redundancy Relations is derived from a complete set of Analytical Redundancy Relations in implicit form, for which an associated binary Fault Signature Matrix is specified, and comprises the relations associated to a minimal subset of rows of the original matrix, which has the same number of non-zero columns and the same number of distinct columns as the original matrix.

The invention discloses a terminal access method and device, and the method and device are used for solving a problem that the system performance of a conventional SCMA multi-terminal access mechanism is reduced because of collision, and a possible retransmission problem of a system. The method comprises the steps that a terminal is determined to enter a competitive access stage; the terminal determines a first signature according to a random number seed and a signature matrix during the transmission of binary data at each time, and enabling the binary data to be mapped to a multi-dimensional symbol for transmission according to the first signature, wherein the first signatures selected during the transmission of binary data at each time are different.

A method for continuously determining mutually corresponding image points between a first camera image and a second camera image, having the steps of capturing (10) the first camera image (101); capturing (11) the second camera image (102); ascertaining (40) at least one first signature matrix element (203) of a first signature matrix (201) on the basis of the first camera image (101); assigning (60) first coordinates to an ascertained signature value of the first signature matrix element (203) in a signature value position table (300); ascertaining (70) at least one signature value of a second signature matrix element (203) having second coordinates of a second signature matrix (202) on the basis of the second camera image (102); and determining (80) at least one element (503) of a correspondence matrix (500, 501, 502) on the basis of the signature value position table (300), the cyclically ascertained signature value of the second signature matrix element (203) and the second coordinates of this second signature matrix element (203), wherein at least one concatenation matrix element (403) of a concatenation matrix (400) is ascertained (50) on the basis of the first signature matrix (201) and the signature value position table (300), and the element (503) of the correspondence matrix (500, 501, 502) is additionally determined (80) on the basis of the ascertained concatenationmatrix (400), the first camera image (101) and the second camera image (102).

A method of using magic square signature to identify true or false of status includes generating a magic square for each article, adding elements of generated magic square on elements of signature magic square to achieve model for obtaining a signature matrix and using this matrix as identification data of article status, sending signature matrix to identifying device with signature magic square for calculating model difference of said matrix to signature magic square and verifying whether matrix is magic square or not, confirming that status having signature matrix is true or otherwise it isfalse if matrix is magic square.

The embodiment of the present invention discloses an information processing method and a server. The method includes: obtaining the first historical behavior data obtained by the first user performing operations on the terminal; performing feature construction according to the first historical behavior data to generate the first feature matrix, the first feature matrix is ​​used to represent the correspondence between the first user and the first information; the first feature matrix is ​​compressed according to the first preset rule to generate a second signature matrix, and the second signature matrix is ​​used to represent The minimum hash value corresponding to the second historical behavior data, the second historical behavior data is obtained after the first historical behavior data is compressed; the second signature matrix is ​​processed according to the second preset rule to generate the first model , the first model is used to represent the degree of correlation between the second historical behavior data; the current behavior data of the second user is obtained, and the current behavior data is input into the first model to obtain the associated data associated with the first user.