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3results about How to "High linear correlation" patented technology

Contact main conductive field enhanced flexible capacitive pressure sensor and preparation method thereof

ActiveCN119321836AIncrease the effective conductive areaavoid desensitizationForce measurementCapacitive pressure sensorElastomer composites
The invention relates to a contact main guide field enhanced flexible capacitive pressure sensor and a preparation method thereof, the contact main guide field enhanced flexible capacitive pressure sensor comprises an elastomer composite electrode and a composite dielectric layer, the elastomer composite electrode is formed by compounding an elastomer electrode and a metal electrode, the elastomer electrode is an elastomer prepared from polydimethylsiloxane and a carbon nanotube composite material, a multi-scale microstructure is formed on the outer surface, facing the composite dielectric layer, of the elastomer electrode, and the metal electrode is a metal layer evaporated on the surface of the multi-scale microstructure; the composite dielectric layer is formed by compounding an inorganic metal oxide dielectric layer and an organic dielectric layer in an upper and lower layer structure. The contact dominant field enhanced flexible capacitive pressure sensor provided by the invention has the characteristics of relatively high sensitivity, relatively high linear responsivity, relatively wide sensing range and relatively good mechanical stability, and is wide in application prospect.
Owner:PEKING UNIV

Preparation method of ternary copolymerized oxygen sensing microspheres

The invention provides a preparation method of a ternary copolymerized oxygen sensing microsphere, which comprises the following steps: selecting styrene (St), trifluoroethyl methacrylate (TFEMA) and butyl acrylate (BA) with different volume ratios as copolymer monomers, platinum octaethylporphyrin (PtOEP) as an indicator, azodiisobutyronitrile (AIBN) as an initiator and lauryl sodium sulfate (SDS) as an emulsifier, and preparing the ternary copolymerized oxygen sensing microsphere by using a hydrothermal method. The preparation method comprises the following steps: preparing a terpolymer microsphere emulsion with oxygen sensing performance, and then changing the proportion content of styrene (St), trifluoroethyl methacrylate (TFEMA) and butyl acrylate (BA) so as to prepare terpolymer microsphere emulsions with different volume ratios. Finally, the optimal volume ratio of styrene (St) to trifluoroethyl methacrylate (TFEMA) to butyl acrylate (BA) is obtained by testing different properties of the ternary copolymerized oxygen sensing microspheres.
Owner:GUANGZHOU HOLLEY COLLEGE

Campus card deduction consumption credit evaluation method, device and equipment and storage medium

PendingCN122367613AHigh linear correlationImprove discriminationData packPayment
This invention discloses a method, apparatus, device, and storage medium for credit assessment of campus card deduction transactions, relating to the technical field of campus card systems. The method includes: acquiring deduction transaction information data of the user to be assessed; constructing a feature matrix of independent variables with multiple dimensions, whereby the deduction transaction information data includes transaction behavior data and user information data; mapping the original feature values ​​in the feature matrix of independent variables to corresponding WOE values ​​according to a pre-constructed feature mapping rule, wherein the pre-constructed feature mapping rule is obtained after optimal binning of historical sample data based on the DFS binning algorithm; inputting the mapped WOE values ​​into a pre-trained logistic regression model to calculate the user's risk quantification score; and generating risk control instructions based on the comparison result between the risk quantification score and a preset threshold. This application can solve the risk of overdue payments and bad debts under the campus card deduction model, realizing accurate assessment and automated hierarchical management of user credit risk.
Owner:HUAZHONG NORMAL UNIV