2results about How to "Address sensitivity" patented technology

This invention provides a lithium lanthanum zirconium oxide composite solid electrolyte, its preparation method, and its application, relating to the field of solid electrolyte technology. The lithium lanthanum zirconium oxide composite solid electrolyte comprises, from the inside out, a lithium lanthanum zirconium oxide core-shell particle layer, a chlorine-doped sulforaphane-germanium oxide electrolyte layer, and a PEO-LiTFSI-based flexible polymer electrolyte layer. The chlorine-doped sulforaphane-germanium oxide electrolyte in the chlorine-doped sulforaphane-germanium oxide electrolyte layer has the chemical formula Li. 7‑x PS 6‑x Cl x 0<x≤2, the room temperature ionic conductivity of the lithium lanthanum zirconium oxy-based composite solid electrolyte is 1.5 mS / cm, and the conductivity retention rate after 24 hours of air exposure is >90%.

The invention relates to the technical field of intelligent evaluation of garment flatness, and particularly discloses an automatic evaluation method of a non-ironing suit seam flatness grade, and the method comprises the steps: obtaining image data and physical parameter data of a seam region in response to a detection trigger signal of the seam region of a non-ironing suit; and performing key scale screening based on texture contribution degree on the image data, calculating a relevance index between feature distribution and flatness grade probability distribution under different texture scales, and determining the texture scale of which the relevance index meets a preset contribution degree condition as a target key scale. According to the method, the entropy screening mechanism based on the texture contribution degree is introduced, so that the key scale which is most effective for flatness representation can be locked from the multi-source data in a self-adaptive manner, and the refinement and pertinence of feature extraction are realized.