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321results about How to "Maximize distance" patented technology

Dental implants having anatomical emergence

InactiveUS20060154203A1High strengthMaximize inter-implant distanceDental implantsDevice implantDentures
Dental implants having anatomical emergence are disclosed. Such an implant may include a post part adapted to receive a dental prosthesis and a root part adapted to be implanted into an socket formed from the extraction of a tooth. The root part may have a tapered portion having a generally round cross-section transverse to the longitudinal axis of the implant, and an anatomical portion having a cross-section transverse to the longitudinal axis that is based on the anatomy of the socket into which the implant is expected to be placed. The anatomical cross-section may be based on a shape associated with either the socket or the tooth. The implant may include one or more retention and stabilizing devices that extend from an exterior surface of the root part. The implant may include a prong that is adapted to move outwardly from an interior portion of the root part when the implant is implanted into the socket. An end of the prong may be adapted to stick into a bone when the implant is implanted into the socket. The implant may include an elongate rod that is movable along the longitudinal axis of the implant. The elongate rod may extend from an exterior of the root part into an interior portion of the root part, and may cause the prong to move outwardly from the interior portion of the root part when the implant is implanted into the socket. The implant may be a press-fit implant or a screw-type implant. The implant may be a one-piece implant, a one-stage implant, or a two-stage implant.
Owner:EMANUELLI SILVIO FRANCO

Method for classifying multi-spectral remote sensing data land use based on semi-supervisor manifold learning

InactiveCN102129571ALow costRealize Land Use ClassificationCharacter and pattern recognitionHat matrixSensing data
The invention discloses a method for classifying multi-spectral remote sensing data land use based on semi-supervisor manifold learning, relating to a land use classification method. The method comprises the following steps of: taking the multi-spectral remote sensing data as a sample data set according to a wave band generator matrix of the data; selecting a part of sample data from the sample data set, marking sample class labels according to priori knowledge, and randomly selecting a part of sample data as unmarked data from the sample data set; establishing a similarity graph and a difference graph to measure the similarity and the difference of data points, and calculating a weight matrix; calculating according to an optimal target function to obtain a projection matrix; projecting the whole multi-spectral remote sensing data; and executing the land use classification by using a K-adjacent classification algorithm. The invention adds the randomly selected unmarked sample data by utilizing a semi-supervisor manifold learning method, calculates the projection matrix by the optimal target function so as to increase the precision of the land use classification and effectively saves the cost of marking the training sample classes at the same time.
Owner:CHONGQING UNIV
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