3results about How to "Promote in-depth development" patented technology

This invention designs a multi-scale star surface impact crater detection method, system, and medium. The method includes the following steps: S1: Acquire star surface images and segment them into image patches of different scales; S2: Construct multiple impact crater detection sub-models; S3: Train each sub-model using star surface image patches of different scales; S4: Input the segmented star surface image to be detected into each pre-trained sub-model to obtain the detection results; S5: Select the bounding boxes with high confidence and large area among all candidate bounding boxes of each impact crater as the final detection result for that impact crater. This invention can simultaneously identify impact craters of different scales in star surface images with high accuracy, especially improving the accuracy and efficiency of identifying small impact craters, providing more accurate and comprehensive data support for lunar science research, and promoting the in-depth development of lunar exploration and geological research.

The invention relates to the technical field of artificial intelligence, in particular to a courseware making method and device based on artificial intelligence and a storage medium, and the method comprises the steps: constructing a tone problem distribution table based on tone accuracy scores and machine bias labels; determining a target training group based on the tone question distribution table, further determining a courseware generation parameter, extracting a recent continuous practice sequence based on the target training group, and further generating a training intensity adjustment parameter to adjust the courseware generation parameter; constructing an individual cognitive bias error model based on listen-and-read entries in a user historical period, and generating a bias error pair list; generating training content based on the courseware generation parameters, the target training group, the bias error pair list and the tone problem distribution table; and arranging a teaching process based on the training content, and generating a courseware script. According to the invention, the pronunciation data, the personal bias mode and the linguistic knowledge base of the learner can be dynamically combined, and an accurate closed loop from data diagnosis to targeted teaching is realized.

The invention relates to an efficient preparation method of peanut protoplast, which comprises the following steps: through the procedures of yellowed seedling culture, protoplast enzymolysis, purification and resuspension, protoplast conversion and the like, in the protoplast separation process, leaf cutting, enzymatic hydrolysate optimization and a treatment mode are adopted, and vacuum-assisted enzymolysis and gradient purification technologies are combined, so that the enzymolysis time is shortened to 2 hours; a large number of protoplasts are obtained through enzymolysis, and the yield of the protoplasts is increased; the purity and the activity of the protoplast are ensured through multiple times of centrifugation, resuspension and standing; according to the method, the reagent dosage and reaction conditions are accurately controlled in the transformation process, the transformation efficiency is improved, the prepared protoplast is round, full and complete, the method provides a high-quality protoplast material for subsequent experiments such as peanut gene function research and genetic transformation, and deep development of peanut related research is promoted.