3results about How to "Alleviating deprivation" patented technology

This invention discloses a few-sample inductor core surface defect detection method based on model interaction, belonging to the fields of machine vision and industrial defect detection technology. The method includes the following steps: S1 Data acquisition and image preprocessing, constructing normal samples, labeled samples, and unlabeled samples; S2 Constructing an unsupervised statistical model based on statistical learning; S3 Constructing a supervised semantic segmentation model; S4 Simultaneously inputting the inductor core image to be detected into both the unsupervised statistical model and the supervised semantic segmentation model for processing, generating segmentation results; S5 Quantifying the differences in detection results; S6 Updating the parameters of the unsupervised statistical model; S7 Generating pseudo-labels based on the unsupervised statistical model; S8 Updating the weights of the supervised semantic segmentation model; S9 Using batches of processed images to be detected, inputting them into the updated unsupervised statistical model and the supervised semantic segmentation model for detection, obtaining detection results, and analyzing and calculating system performance indicators.

This application relates to the field of lithium-ion battery technology, and more particularly to a cylindrical lithium-ion battery and its preparation method. The cylindrical lithium-ion battery includes a casing, a core disposed within the casing, the core having a central hole, and a central tube disposed within the central hole. The central tube has a hollow structure, with an outer diameter d and a wall thickness a, satisfying the following relationship: Sc = (d - 2a) / (e / h + f / k), 15 ≤ Sc ≤ 60, where Sc represents the structure-electrochemical synergy coefficient, d and a are in mm, and e and f represent the areal density of the positive and negative electrodes (mg / cm²), respectively. 2 h and k represent the compaction density (g / cm³) of the positive and negative electrodes, respectively. 3 This application introduces a hollow central tube and synergistically optimizes the geometric parameters of the central tube and the load parameters of the positive and negative electrodes to construct an axial channel at the center of the core that serves both structural support and venting functions. At the same time, it limits the structural electrochemical synergy coefficient Sc to achieve a balance between energy density and power characteristics while ensuring cycle life and safety performance.

The present invention discloses a method and system for extracting attribute values ​​of a semi-structured web page based on prompt learning, which relates to the field of the Internet. Firstly, a DOM tree perspective prompt of a variable node is retrieved according to a DOM tree simplification algorithm, and then a task template containing a task description is designed to obtain template perspective prompt information. Finally, a pre-trained language model based on an encoder-decoder structure is introduced, and "prompt" is used as a core operation to comprehensively analyze the characteristics of domain data and target task characteristics, design prompt information of two perspectives, and fuse the dual-perspective prompt information through template filling. The pre-trained language model is jointly guided to perform task learning at the semantic level and the task level through prompt learning, thereby realizing an effective combination of the pre-trained language model and the attribute value extraction task, and achieving superior model performance in a scenario where domain annotation data is scarce.