4results about How to "Automate calculation" patented technology

The invention provides a strabismus screening system based on multi-dimensional dynamic eye movement tracking. The strabismus screening system comprises a data acquisition module, a data preprocessing module, a data analysis module and a result feedback module. A cartoon experimental normal form is adopted for an experiment through a domestic Pupil.IO AIO eye tracker, so that the eye movement track is monitored, the stability of a fixation point is dynamically quantified, the dynamic change during jump reaction is captured, multi-dimensional eye movement feature calculation such as sight line difference analysis is carried out, and finally dichotomy result judgment is carried out. The problems of inherent limitation, high equipment price, insufficient clinical suitability of a data analysis model and lack of a standardized process of a traditional inspection method are effectively solved.

The invention discloses an airport pavement surface layer plate design method and system and a readable storage medium, and relates to the field of airport pavements, in the method, firstly, a block design parameter dictionary and design data are read to obtain a block design base, then point-line construction and seam line preprocessing are carried out by adopting a half-side data structure, and an airport pavement surface layer plate is obtained; and carrying out region segmentation and surface layer information assignment through an anticlockwise minimum region half grid method, then carrying out reinforcement design on underground pipelines, a filling and excavation boundary line passing region and a special-shaped region, and finally generating a three-dimensional model and assigning attribute information. According to the method, the associated configuration of the design parameters, the intelligent judgment of the reinforcement scheme and the seamless integration of the design data and the three-dimensional model are realized, and the design efficiency and accuracy are effectively improved.

The application relates to the technical field of aircraft flight safety evaluation, and discloses an eVTOL extreme working condition path evaluation method and system based on deep reinforcement learning, which comprises the following steps: acquiring wind speed vectors, electrical state parameters, environmental temperature and air pressure height data; adopting a physical constraint neural network to evaluate motor power redundancy and output a power redundancy distribution matrix; establishing a stator temperature rise feedforward compensation model decoupled from the environmental temperature gradient, compensating the electrical state parameters, and estimating the battery state of charge based on the compensation data; and constructing a deep reinforcement learning path evaluation strategy network model, comprehensively processing the power redundancy distribution and the state of charge estimation result, and outputting a path safety evaluation result. The power redundancy distribution matrix and the state of charge estimation result are comprehensively processed by the deep reinforcement learning path evaluation strategy network model, so that the automatic evaluation of the path safety of the eVTOL under the low-altitude wind shear extreme working condition is realized.

The invention discloses an e-commerce live broadcast real-time item selection method, device and system, and a storage medium, and the method comprises the steps: analyzing the matching degree of current live broadcast audience features and a candidate item list through employing multi-modal data and a large language model, updating an item selection list in real time in a live broadcast process through the recommendation capability of an offline model, and improving the user experience. And the conversion rate, ROI and decision-making efficiency of the live broadcasting room are improved.