Patents
Literature
Patsnap Eureka AI that helps you search prior art, draft patents, and assess FTO risks, powered by patent and scientific literature data.

5results about How to "Reliable boot" patented technology

A material guiding unit and a chip bonding apparatus for chip bonding

ActiveCN224460514Ureliable bootReliable limitStructural engineeringDie bonding
The utility model relates to chip processing field, specifically disclose a material guiding unit and chip bonding device for chip bonding, the material guiding unit among them includes material guiding frame and drive mechanism, the material guiding frame is set up and is opened to material guiding groove, the material guiding groove one end open setting forms material guiding export, the material guiding groove be equipped with the pressing piece, the pressing piece with the bottom surface rotatory movable joint of material guiding groove, just the pressing piece with material guiding frame between be equipped with elastic part, the pressing piece is equipped with first inclined plane away from material guiding export one end, first inclined plane towards one of the side walls of material guiding groove set, the drive mechanism includes drive insert plate and driving piece, drive insert plate insert into material guiding groove, just the one end of drive insert plate is equipped with with first inclined plane corresponding second inclined plane, the material guiding unit above can reliably guide and limit metal lead, effectively improve the bonding reliability.
Owner:HANGZHOU DAOMING MICROELECTRONICS CO LTD

A turning and lifting heat preservation cover device and a slab continuous casting heat preservation cutting system

ActiveCN224586938UImprove hot charging and hot delivery ratereduce consumption
The utility model discloses a kind of diverting lifting heat preservation cover device and slab continuous casting heat preservation cutting system, belong to slab continuous casting equipment technical field.The device includes: steel frame, L-shaped guide slot including horizontal section and vertical section are provided on steel frame;Several sections are hingedly heat preservation cover in turn, can move on horizontal rail, and is equipped with the guide wheel cooperation with guide slot;Drive system includes mobile trolley for driving heat preservation cover horizontal movement, and by the winch device of steel rope drive last section heat preservation cover along guide slot lifting.Gathering, winch device drives heat preservation cover along L-shaped guide slot by horizontal state to divert to vertical state, compactly accomodate in steel frame side.The utility model is through the unique design of diverting lifting, realizes the effective heat preservation to steel billet in narrow space, reduces heat loss, saves energy, and small, and stable and reliable operation occupies space.
Owner:NANJING JINGHUANRE METALLURGICAL ENG CO LTD

Iot multi-view feature selection method and system based on similar matrix fusion

ActiveCN121658877BPrevent deviationreliable bootFeature vectorData mining
The application discloses an Internet of Things multi-view feature selection method and system based on similarity matrix fusion, and relates to the technical field of machine learning.The method comprises the following steps: firstly, incomplete data of each view is spliced into a wide table according to columns, and a complete matrix of each view is constructed through sampling and padding; secondly, the data of each view is clustered multiple times, and corresponding similarity matrices are constructed; all the similarity matrices are stacked into a tensor along the third dimension, an adaptive weight fusion is introduced under a low-rank constraint, a unified common similarity matrix is learned for feature value decomposition, a feature vector corresponding to a positive feature value is extracted to form a pseudo label; a high-confidence sample is screened in combination with a pace learning strategy, and each view feature selection coefficient and a self-pace weight are jointly optimized; and importance scores are calculated based on the features of each view to obtain an optimal subset.The application realizes feature selection of incomplete multi-view data of an industrial Internet of Things through similarity matrix tensor fusion, adaptive low-rank constraint and joint optimization of pace learning.
Owner:HUAQIAO UNIVERSITY