3results about How to "Accurate and efficient calculation" patented technology

A computer vision-based method for calculating the volume of stacked goods within a regular cube space is disclosed. This method trains a neural network for semantic segmentation using the projected images of the stacked goods on both sides of the cube to obtain a model for calculating the projected area of ​​the stacked goods. This model is then used to calculate the projected area of ​​the collected image data to determine the volume of the stacked goods within the regular cube space. This method avoids the problems of human error and subjective judgment inherent in traditional manual observation methods, and also avoids the drawbacks of instrument measurement methods, such as high equipment costs and maintenance expenses, and susceptibility to environmental interference. It enables accurate and efficient real-time calculation of the volume of stacked goods within a regular cube space.

This invention provides a method for predicting the pressure distribution of a shale gas horizontal well in a gas-liquid two-phase flow wellbore, belonging to the field of oil and gas field development. The method includes: dividing the target shale gas horizontal well into target well sections; performing a detailed simulation of the target well sections to obtain detailed simulation results; determining the functional relationship between the gas-liquid two-phase slip velocity and the average transport rate of the water phase in the target well based on the detailed simulation results of the target well sections; determining the functional relationship between the resistance coefficient and the outlet liquid holdup of the target well based on the detailed simulation results of each target well section; establishing a wellbore control coupling model for the target well based on conservation theorems, the functional relationship between the gas-liquid two-phase slip velocity and the average transport rate of the water phase, and the functional relationship between the resistance coefficient and the outlet liquid holdup; iteratively solving the wellbore control coupling model for the target well; and obtaining the pressure distribution of the shale gas horizontal well based on the iteration results to achieve accurate and efficient pressure distribution prediction.

This invention discloses a virtual item recommendation method, a recommendation model training method, an apparatus, and a device. The method includes the following steps: constructing a virtual item vector sequence and a target object vector; obtaining a first behavior sequence and a second behavior sequence of the target object; determining a first interest vector using an LSTM model and a multi-head self-attention mechanism based on the virtual item vector sequence and the first behavior sequence; determining a second interest vector using an attention mechanism based on the virtual item vector sequence, the target object vector, and the second behavior sequence; fusing the first interest vector and the second interest vector to obtain a target interest vector; and determining virtual item recommendation information based on the matching degree between the target interest vector and each virtual item vector in the virtual item vector sequence. This method can improve the accuracy of virtual item recommendations and further enhance the recommendation experience for target objects, ultimately increasing the commercial value of products. It can be widely applied in the field of computer technology.