5results about How to "Solve void" patented technology

The invention discloses a grid side wall imaging method. The method comprises the steps that a semiconductor structure which has a grid and a first side wall which covers the side wall of the grid is provided; a polycrystalline carbon layer is prepared to cover the surface of the semiconductor structure; the polycrystalline carbon layer is partially removed, so that a second side wall of the grid is formed on the surface of the first side wall; after a source drain implantation process is carried out on the semiconductor structure, the second side wall is removed; and a source drain annealing technology is continued. According to the grid side wall imaging method provided by the invention, through oxygenated plasma treatment, a polycrystalline carbon side wall which is used as a main side wall can be neatly removed; without using an SPT process which needs to be carried out in a specific etching cavity, the problem of void in a high stress through hole etching stop layer process can be solved; a process flow is simplified; and the production cost is reduced.

The utility model discloses a stable supporting system suitable for a double-T-beam structure, which structurally comprises a double-T-beam, end cross beams, embedded steel plates, plate-type rubber supports and support pad stones, and the end cross beams are respectively arranged on two end sides of the double-T-beam which is connected through cast-in-place wet joints. Embedded steel plates for supporting the plate type rubber support are arranged on the bottom end faces of two beam ribs at one end of the double-T beam, and embedded steel plates for supporting the plate type rubber support are also arranged on the bottom end faces of the middle parts of end cross beams of the two beam ribs at the other end of the double-T beam, so that triangular stable support is formed, and the plate type rubber support can be supported under the action of dead load and live load; the double-T-beam four-support disengagement problem is effectively solved, the top end face of the plate-type rubber support is connected with the embedded steel plate, the bottom end face of the plate-type rubber support is connected and supported to the support pad stone installed at the lower end, and the supporting effect is achieved.

The utility model discloses a steel spring floating slab skew compensating plate, which is characterized in that a compensating plate main body is annular, one or two compensating angles extend outwards from the edge position, so that the compensating angles can be conveniently screwed into a void area in a rotating manner, and the compensating plate of a corresponding type is selected according to the void number before rotating and filling. The compensation plates with the corresponding number and thickness specification are selected according to the disengaging height, so that the disengaging area is fully filled, horizontal limiting in the installation process is guaranteed by arranging the blocking pieces on the inner sides of the compensation plates, the notches are formed in the inner sides of the compensation plates so that the compensation plates can be fixed through the positioning bolts, and loosening and disengaging caused by vibration are avoided.

The invention discloses a building extraction method based on a high-resolution network, and belongs to the field of image processing and machine vision detection. In order to solve the problems of void phenomenon, poor boundary precision, missing extraction and mistaken extraction of small-sized buildings and the like existing in high-resolution remote sensing image building extraction of an existing deep learning method, the method adopts a multi-stage network optimization strategy: firstly, obtaining a high-resolution building data set; and expanding the training set by adopting a data enhancement technology of sample random rotation transformation, Gaussian filtering boundary enhancement, HSV-based color space transformation and standard deviation-added random Gaussian noise. Sequentially integrating object context representation (OCR) modules on the HRNet backbone network to reduce internal holes; introducing a boundary refinement post-processing Segfix module to carry out direction-guided pixel-level correction on an output boundary so as to optimize the building boundary; a rotary variable-size window attention (RVSA) mechanism is embedded in a down-sampling layer, and the capacity of capturing small target features is enhanced through a dynamically changing window. And finally, end-to-end training is carried out on the constructed model by using an enhanced data set, accurate and complete extraction of the building is realized, and an efficient and reliable solution is provided for scene applications such as urban planning and disaster assessment.

The utility model discloses a bridge support adjusting mechanism, which relates to the technical field of bridges and comprises a height adjusting component and a movable component, and the bottom end of the height adjusting component is used for being fixedly connected with a bridge pier; the movable assembly is movably arranged at the top end of the height adjusting assembly; the top end of the movable assembly makes contact with the bottom end of the plate-type rubber support, and the top end of the plate-type rubber support is fixedly connected with a bridge. The utility model is used for solving the problem of partial disengagement of the plate-type rubber support.