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179 results about "Linear dimension" patented technology

Understanding Linear Inches. Linear inches – or really, any linear dimension – simply refer to the sum total of your bag's length, width and depth. So, if your bag measures 28 inches high, 13 inches wide and 10 inches deep, its linear measurement or linear dimensions would be 28 + 13 + 10 = 51 linear inches.

Device and method for joining and tacking sections for transportation vehicles

A device and method for joining and tacking several individual components independently of shape and/or size to form inherently rigid, transportable sections for transportation vehicles, such as an aircraft is disclosed. According to one embodiment of the invention, the individual components may be spatially positioned relative to each other independently of shape and/or size. The spatial positions of the individual components may be determined by a measuring device, such as a laser measuring device, and varied via several positioning devices until a preset spatial position of the individual components has been reached in which the individual component are tacked together to form a section. In another embodiment, the positioning devices may be designed as base positioners, a first lateral positioner, a second lateral positioner, an upper positioner as well as an inner positioner. Joining and tacking of several individual components 1 may form varying sections such as sections with varying cross sectional geometries and/or cross sectional dimensions and/or linear dimensions for different types of aircraft or for derivatives of the same aircraft types. In addition, the sections may have two working platforms on either side of the section.
Owner:AIRBUS OPERATIONS GMBH

Isolated digit speech recognition classification system and method combining principal component analysis (PCA) with restricted Boltzmann machine (RBM)

The invention discloses an isolated digit speech recognition classification system and method combining a principal component analysis (PCA) with a restricted Boltzmann machine (RBM). First of all, a Mel frequency cepstrum coefficient (MFCC) is employed for combination with a one-order difference MFCC, and a voice dynamic characteristic of an isolated digit is preliminarily drawn off; then, linear dimension reduction processing is carried out on an MFCC combination characteristic by use of the PCA, and dimensions of a newly obtained characteristic are unified; accordingly, nonlinear dimension reduction processing is performed on the obtained new characteristic by use of the RBM; and finally, finishing recognition classification on a digit voice characteristic after nonlinear dimension reduction by use of a Softmax classifier. According to the invention, PCA linear dimension reduction, unification of the dimensions of the characteristic and RBM nonlinear dimension reduction are combined together, such that the characteristic representation and classification capabilities of a model are greatly improved, the isolated digit voice recognition correct rate is improved, and an efficient solution is provided for high-accuracy recognition of isolated digit voice.
Owner:CHANGAN UNIV
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