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321 results about "Pivot element" patented technology

The pivot or pivot element is the element of a matrix, or an array, which is selected first by an algorithm (e.g. Gaussian elimination, simplex algorithm, etc.), to do certain calculations. In the case of matrix algorithms, a pivot entry is usually required to be at least distinct from zero, and often distant from it; in this case finding this element is called pivoting. Pivoting may be followed by an interchange of rows or columns to bring the pivot to a fixed position and allow the algorithm to proceed successfully, and possibly to reduce round-off error. It is often used for verifying row echelon form.

Interior rearview mirror assembly with polymeric components

An interior rearview mirror assembly for vehicles incorporates a rearview mirror mount, a rearview mirror, and a rearview mirror support. The support is pivotally attached to the mirror mount by a first pivot element, and to the rearview mirror by a second pivot element. The mirror mount, support, a rearview mirror housing, and the pivot elements are each formed by molding from polymeric material having a respective color. In various embodiments, the colors may all be substantially the same, such as black, gray, tan, brown, burgundy, green, or another color, or may be different. In one form, the rearview mirror housing includes at least one electrical accessory. Electrical conductors may extend through the pivot elements and mirror support to the rearview mirror housing to provide an electrical connection for the electrical accessory to the vehicle electrical system. The pivot elements preferably include ball pivot members and sockets on various of the mirror mount, support and rearview mirror housing, and may include surfaces for enhanced frictional resistance to pivotal movement. In one form, the rearview mirror mount preferably includes receiving members which release the assembly from a windshield attachment member when sufficient force is applied such as upon impact.
Owner:DONNELLY CORP

Data-driving control process monitoring method based on dynamic component analysis

The invention provides a data-driving control process monitoring method based on dynamic component analysis. The method comprises the steps of (1) establishing ICA and DICA process statistics models according to multiple detection variables obtained from continuous detection, and defining statistics I2 relevant to independent variables belonging to non-Gaussian distribution in measured variables according to the DICA process statistics model; (2) establishing PCA and DPCA process statistics models for a process information matrix E left over after non-Gaussian distribution measured variable extraction, and defining statistics T2 and SPE of the detected variables in pivot element space and residual space; (3) obtaining similarity indexes ISM to serve as monitoring indexes through training by means of the support vector data description algorithm which is input by the performance indexes Lambda = (I2, T2, SPE); (4) comparing actual monitoring indexes ISM with IMAX and getting the conclusion that faults appear in the current control process if ISM>IMAX. According to the data-driving control process monitoring method based on dynamic component analysis, the number of monitoring diagrams can be reduced, and monitoring efficiency can be improved. The data-driving control process monitoring method based on dynamic component analysis can be widely used for multivariable control system monitoring such as industrial process control.
Owner:SHANGHAI JIAO TONG UNIV
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