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31 results about "Dorcus parallelopipedus" patented technology

Container Assembly for Storing Peripheral Computer Memory Devices

A container assembly, comprising: a housing in the form of a right parallelepiped with one side left open, the closed sides being a lower main wall, two lateral walls, a rear wall, and an upper main wall, wherein a plurality of first raised portions of first predetermined shapes is formed on the upper main wall and a plurality of second raised portions of second predetermined shapes are formed at one of said lateral walls, while a plurality of second depressed portions of third predetermined shapes complementary to the second raised portions of said one first lateral wall are formed at the other of said two lateral walls, wherein a plurality of first depressed portions of fourth predetermined shapes complementary to the first predetermined shapes of the first raised portions are formed at the outer surface of the lower main wall, whereby a plurality of such container assemblies can be mutually engaged and thus stacked together by insertion the first raised portion into said corresponding first depressed portions and of the second raised portions into said corresponding second depressed portions formed at the outer surface of the housings of the container assemblies; a rack provided at the surface of the lower main wall in the inside of the housing and extending along a direction parallel to the longitudinal extension of said lateral walls; a pin that is provided at an inner surface of said rear wall; a base that is received and slideably moveable in the housing, said base being provided with a pin-engaging push-lock module and a reduction gear module having a gear in cogging engagement with the rack, wherein the pin-engaging module is engageable with the pin so as to secure the base in the housing, wherein the housing dimensions are adapted such that the inner space of the housing above the base corresponds to the size of a standard hard disk drive such that a standard hard disk drive placed on the base may be received in the housing in a manner free of play; a spring mechanism acting between a point on the inside of the walls within the housing and a rearward portion of the base so as to push the base to move outwards through the opening to project from the housing to the outside thereof, so that the base, when it is secured in the housing with the pin-engaging module engaging the pin, may be opened by pushing the base against the pin, thereby disengaging the push-lock module from the pin, whereupon the spring mechanism moves the base to the extended outward position against the resistance of the reduction gear module cogging with the rack; and a front cover assembled to a front end of the base so that, when the base is secured in the housing with the push-lock module in engagement with a pin, the front cover closes the opening of the housing.
Owner:HELM BURGERHOFF BRIGITTE

Method for characterising a scene by computing 3D orientation

ActiveUS10223803B2Few computational resourceImage enhancementImage analysisVoxelDorcus parallelopipedus
A method for characterizing a scene by computing the 3D orientation of observed elements of the scene comprises a step of computing 3D points of the scene and further comprises the steps of: regularly quantifying the 3D points of the scene, along three axes, in a preset 3D grid of voxels; for each non-empty voxel of the 3D grid, computing N predefined statistical characteristics from the coordinates of the points contained in the voxel, where N is an integer higher than 1, and for each of the N characteristics, defining a 3D grid associated with the characteristic; for each 3D grid associated with a statistical characteristic, computing an integral 3D grid associated with the statistical characteristic, each voxel of the integral 3D grid comprising an integral of said statistical characteristic; and for each non-empty voxel of the 3D grid of voxels: defining a 3D rectangular parallelepipedal vicinity centered on the voxel and of predefined 3D dimensions, and eight vertices of the vicinity; for each of the N statistical characteristics, computing the integral of the statistical characteristic in the vicinity on the basis of the eight vertices of the integral 3D grid associated with the statistical characteristic; computing the 3.times.3 covariance matrix of the 3D points in the vicinity; and computing the orientation of the voxel on the basis of the 3.times.3 covariance matrix.
Owner:COMMISSARIAT A LENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES
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