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公开(公告)号:KR1019920006856B1
公开(公告)日:1992-08-20
申请号:KR1019900004784
申请日:1990-04-07
Applicant: 한국과학기술연구원
CPC classification number: H01G4/302 , Y10T29/435
Abstract: The method comprises producing a pore layer by stacking and sintering dielectric layers (1) applied with quasi-electrode material (2). The pore layer, oxidised by sintering, is reduced and then molten metal is permeated into the interion of the pore layer without applying high pressure. The pore layer after sintering is formed with NiO by using a mixture of 2NiCO3-3Ni(OH)2-4H2O and carbon black as quasi-electrode material. Pb, Sn or Pb-Sn alloy is the molten metal for the internal electrode. The NiO surface forming the pore layer is reduced to Ni so as to increase the surface energy and enhance contact with the other metal.
Abstract translation: 该方法包括通过堆叠和烧结施加准电极材料(2)的电介质层(1)来生产孔层。 通过烧结氧化的孔层被还原,然后在不施加高压的情况下将熔融金属渗入孔层的中间层。 通过使用2NiCO3-3Ni(OH)2-4H2O和炭黑的混合物作为准电极材料,用NiO形成烧结后的孔层。 Pb,Sn或Pb-Sn合金是用于内部电极的熔融金属。 形成孔层的NiO表面被还原为Ni,从而增加表面能并增强与另一种金属的接触。
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公开(公告)号:KR1019920002928B1
公开(公告)日:1992-04-10
申请号:KR1019890017357
申请日:1989-11-28
Applicant: 한국과학기술연구원
IPC: G06K9/00
CPC classification number: G06K9/00006 , G06K9/00087 , G07C9/00158
Abstract: The fingerprint recognition method is for discriminating the identity of two fingerprints by comparing break points and diverging points of fingerprints. The method comprises two steps: (A) comparing print patterns of the registered and the input finger prints and setting intervals; above upper boundary, between upper and lower boundary, and below lower boundary; (B) discriminating that two finger prints are identical or different if the difference belongs to upper boundary and lower boundary respectively; (C) if the difference is between upper and lower boundary, extracting the characteristic points of input finger print by preprocessing (19) and edge detection process and comparing the similarities.
Abstract translation: 指纹识别方法是通过比较指纹的断点和分歧点来区分两个指纹的身份。 该方法包括两个步骤:(A)比较注册的和输入的指纹的打印图案和设置间隔; 上边界以上,上边界和下边界之间,下边界以下; (B)如果差异属于上边界和下边界,则区分两个指纹是相同或不同的; (C)如果差异在上边界和下边界之间,则通过预处理(19)和边缘检测处理提取输入指纹的特征点并比较相似性。
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