4 results about "Free interface" patented technology

The invention relates to a DEM-CFD-VOF coupling model-based method for analyzing movement of a desulfurizing agent in a ladle, which belongs to the technical field of computer simulation and comprises the following steps of: 1, drawing a ladle model and a stirring paddle model by utilizing modeling software, and exporting a corresponding STL file; 2, importing the STL file into software with a DEM model, and establishing a motion control equation of desulfurizer particles; and step 3, importing the STL file into software with a CFD model, performing mesh generation on the ladle model containing the stirring paddle by using a mesh generation tool, establishing a control equation of a liquid phase (molten iron) and a gas phase (air), and tracking free interfaces of the gas phase and the liquid phase and the like by adopting a VOF model in the software with the CFD model. According to the method, the DEM-CFD-VOF coupling model is established to describe movement and dispersion behaviors of desulfurizer particles in the ladle, so that evaluation on the desulfurization effect of the ladle is realized.

This disclosure relates generally to system and method for ambient intelligence based user interaction. Prior methods for touchless user interaction are sensitive to ambient temperature in a lab environment, susceptible to noise from metallic surfaces and ambient radio waves and are dependent on ambient lighting. Embodiments of the present disclosure provides a multi-modal sensor fusion method which captures touchless gestures from a user or a group of users with their physical context information fused and tagged to these gestures for user interaction. Further pose graphs are generated for user interaction systems using a data association technique and Gaussian mixture model technique. The disclosed method provides a hands-free interface to operate instruments in a smart space, using principles of ambient intelligence.

The application discloses an API-free interface automatic control implementation method and system based on visual understanding, relates to the technical field of interface automatic control, and comprises the following steps: performing gradient partition and multi-scale adaptive filtering processing on an original RGB interface image, performing interface element identification and semantic processing on an obtained enhanced interface image, and obtaining feature anchor points of each interface element and an interface semantic layout tree of the enhanced interface image; performing path planning processing and abnormality prediction on a user operation track based on the interface semantic layout tree and the feature anchor points; performing simulated input operation based on an optimal execution path, and performing dynamic self-recovery according to an operation execution state and in combination with an abnormality processing scheme; checking an operation execution result of the simulated input operation, and updating a local evolution knowledge base according to a checking result. The application is used for solving the problems of low interface automatic control precision, poor robustness and no self-recovery of abnormality in the prior art without relying on API.

This invention provides a configuration-free interface permission verification method, apparatus, and system applied to a front-end system. In response to login operations, it retrieves a generated HTTP message header and a random number. The HTTP message header contains a user token returned by the back-end system, and the back-end system has correspondingly stored the user token and the random number. In response to access operations targeting a control on the front-end page, it uses the random number to encrypt the URL address and parameters of the API interface called by the target control, and adds the encrypted string to the HTTP message header. It then sends an HTTP request carrying the HTTP message header to the back-end system, enabling the back-end system to: determine a random number based on the user token in the HTTP message header; decrypt the encrypted string in the HTTP message header using the random number, and compare the decrypted URL address and parameters with the URL address and parameters of the queried API interface; if they match, the HTTP request is executed; otherwise, the HTTP request is rejected.