Abstract: A laminated glass, includes a glass plate, a polymer layer, and a functional device layer, wherein, the polymer layer is located between the glass plate and the functional device layer; the laminated glass further optionally includes another polymer layer, which is located at the other side of the functional device layer, opposite to the glass plate; the polymer layers each independently include polymer, which is selected from crosslinked ethylene-vinyl acetate copolymer, polyolefin thermoplastic elastomer, and thermoplastic polyurethane elastomer.

Abstract: An elevator car door locking device and elevator equipment. The car door locking device includes a vane base provided with a first and a second rotation center; a vane assembly provided with a clamping vane or an expanding vane; and a vane drive assembly having a driving member, a transmission member, an unlocking member and a car door locking hook. The driving member, the transmission member and the vane assembly are hinged to the first rotation center, the car door locking hook is hinged to the second rotation center, the transmission member is hinged with the vane assembly through a connecting shaft, and the unlocking member is hinged to a third rotation center on the driving member and is provided with a limiting part for limiting the connecting shaft.

Abstract: The present invention discloses a method and system for recognizing a geometric regularity image of a honeycomb structure. The method includes the steps of image acquisition, image processing, vertex extraction, cell reconstruction, and quality evaluation, wherein a step of binaryzation is set between the step of image processing and the step of vertex extraction, and is to set a pixel value of a background in the image to be 0 and set a pixel value of a honeycomb skeleton in the image to be 1 to form a binary image, and the step of quality evaluation is to calculate angular deviation values of all the cells and an average thereof as well as linear deviation values and an average thereof based on the reconstructed cell image, and determine whether the honeycomb structure is qualified or not by comparing with a set tolerance zone.

Abstract: Disclosed are a method for evaluating a geometric form of a honeycomb product and a system for detecting and evaluating a geometric form of a honeycomb product. The method for evaluating the geometric form includes: acquiring a top-surface image and a side-surface image of the honeycomb product; acquiring vertex coordinates by extracting vertices from the top-surface image; acquiring serial numbers of six vertices of each cell by reconstructing the cells of the top-surface image; computing deviation angles of six interior angles of each cell based on the serial numbers and vertex coordinates of the six vertices of each cell; extracting a top-surface side boundary and a side-surface side boundary of the honeycomb product from the top-surface image and the side-surface image; computing a maximum top-surface deflection and a maximum side-surface deflection of the honeycomb product based on the top-surface side boundary and the side-surface side boundary.

Abstract: The present invention discloses a method and system for recognizing a geometric regularity image of a honeycomb structure. The method includes the steps of image acquisition, image processing, vertex extraction, cell reconstruction, and quality evaluation, wherein a step of binaryzation is set between the step of image processing and the step of vertex extraction, and is to set a pixel value of a background in the image to be 0 and set a pixel value of a honeycomb skeleton in the image to be 1 to form a binary image, and the step of quality evaluation is to calculate angular deviation values of all the cells and an average thereof as well as linear deviation values and an average thereof based on the reconstructed cell image, and determine whether the honeycomb structure is qualified or not by comparing with a set tolerance zone.

Abstract: Disclosed are a method for evaluating a geometric form of a honeycomb product and a system for detecting and evaluating a geometric form of a honeycomb product. The method for evaluating the geometric form includes: acquiring a top-surface image and a side-surface image of the honeycomb product; acquiring vertex coordinates by extracting vertices from the top-surface image; acquiring serial numbers of six vertices of each cell by reconstructing the cells of the top-surface image; computing deviation angles of six interior angles of each cell based on the serial numbers and vertex coordinates of the six vertices of each cell; extracting a top-surface side boundary and a side-surface side boundary of the honeycomb product from the top-surface image and the side-surface image; computing a maximum top-surface deflection and a maximum side-surface deflection of the honeycomb product based on the top-surface side boundary and the side-surface side boundary.

Abstract: A method is described for fabricating a lightly doped drain MOS FET integrated circuit device with a peeling-free metal silicide gate electrode continues by annealing the gate oxide, the polysilicon layer and the metal silicide layer using a furnace process at a temperature more than about 920.degree. C. and for a time of less than about 40 minutes. A pattern of lightly doped regions is formed in the substrate by ion implantation using the structures as the mask. A low temperature silicon dioxide layer is blanket deposited over the surfaces of the structure. The pattern of lightly doped regions is driven in while maintaining the low temperature silicon oxide over the metal silicide layer by annealing at a temperature of more than about 920.degree. C. The blanket layer is etched to form a dielectric spacer structure upon the sidewalls of each of the gate electrode structures and over the adjacent portions of the substrate, and to remove the silicon oxide layer from the top surfaces of metal silicide layer.