6 results about "Reference dimension" patented technology

The invention provides a page preloading decision-making method and device, electronic equipment and a storage medium, and belongs to the technical field of Internet. The method comprises the steps of triggering a preloading decision request for at least one predicted page based on an operation behavior of a user on a current page; based on the preloading decision request, obtaining preloading reference data of the prediction page, the preloading reference data comprising a plurality of reference dimensions; based on the preloading reference data, determining a preloading reference feature of each reference dimension; based on the current attribute information corresponding to the reference dimensions, determining the current feature weight of each reference dimension; and based on the preloading reference feature of each reference dimension and the current feature weight, determining a preloading decision result of the prediction page. By adopting the method and the device, the real-time adaptability of the preloading decision can be improved.

The invention discloses a data volume determination method and device, equipment and a storage medium, and relates to the technical field of artificial intelligence. The method comprises: obtaining an input dimension shape of input data, the input data being data processed by a neural network unit, and the input data comprising data of N dimensions; according to the input dimension shape, a first reference dimension shape is determined from the at least one reference dimension shape, the first reference dimension shape is a minimum reference dimension shape larger than or equal to the input dimension shape in the at least one reference dimension shape, and determination of the at least one reference dimension shape is related to at least one variable dimension; before the input data is processed through the neural network unit to obtain the output data, the estimated data size of the output data is determined based on the output dimension shape corresponding to the first reference dimension shape, and the estimated data size of the output data is used for determining the memory space configured for the output data. The method can reduce memory waste.

Method of assembling an aeronautical panel (10), said panel (10) comprising a curved wall (12) and stiffening elements (14) which are attached and fixed to the wall (12) and which have a stiffness greater than that of the wall (12), in which it comprises the following steps: a) determining deviations between dimensions of the wall (12) in the free state without stress and reference dimensions, b) mounting the wall (12) on a frame (16) which is adjusted to apply on the wall (12) at least one overstress (Σ) such that the wall (12) adopts a shape different from its nominal shape, and c) fixing the stiffening elements (14) to the wall (12), the stiffening elements (14) applying at least one stress (S) to the wall (10) so that it adopts its nominal shape after removal of the panel (10) from the frame (16). Figure for the summary: Figures 3a-3c

To inspect the appearance of a tire without irradiating the tire with band-like light or line-like light.SOLUTION: An inspection device includes shape recognition means for recognizing a shape of a tire from an image of the tire and detecting a defect candidate of the tire, tire information recognition means for extracting a character from the image of the tire and recognizing tire information including a model number of the tire, reference dimension setting means for acquiring information on a dimension in a specification of the tire based on the recognized model number of the tire, dimension calculation means for calculating a dimension of the defect candidate based on the dimension in the specification of the tire and the shape of the tire, and determination means for determining presence or absence of a defect of the tire based on the dimension of the defect candidate.SELECTED DRAWING: Figure 1

The invention discloses an intelligent parameter optimization matching method and system for a spot welding machine based on big data analysis, and relates to the technical field of spot welding machines, and the method comprises the following steps: obtaining a parameter optimization matching layer and a reference dimension factor according to multi-dimensional historical working condition data and a welding quality evaluation result of the spot welding machine; real-time multi-dimensional working condition data and quality grade requirements of the spot welding machine are obtained; performing fusion analysis on the real-time multi-dimensional working condition data and the quality grade requirement to obtain a real-time matching index, a real-time dimension type and a real-time parameter value; generating a real-time matching factor of the fused data according to the real-time matching index; performing comparative analysis on the real-time dimension type and the dimension association type of the parameter optimization matching layer to obtain a target matching layer corresponding to the real-time matching factor; the effect is that stability and consistency of welding quality are guaranteed.

An inspection device includes a shape recognition means for recognizing a shape of a tire from one or more images of the tire and detecting a defect candidate of the tire; and a tire information recognition means for extracting a character from the one or more images of the tire and recognizing tire information including a model number of the tire; a reference dimension setting means for acquiring information about a specification dimension of the tire based on the recognized model number of the tire; a dimension calculation means for calculating a dimension of the defect candidate based on the specification dimension of the tire and the shape of the tire; and a determination means for determining presence or absence of a defect of the tire based on the dimension of the defect candidate.