公开(公告)号：US4648261A

公开(公告)日：1987-03-10

申请号：US797107

申请日：1985-11-12

Applicant: Arthur H. Thompson ,  Alan J. Katz

Inventor： Arthur H. Thompson ,  Alan J. Katz

IPC: G01N15/08

CPC classification number: G01N15/0886

Abstract: A method for determining pore-dependent properties, such as electrical conductivity and absolute permeability, of a porous sample by use of capillary pressure measurements. Capillary pressure data are obtained by performing nonwetting fluid intrusion measurements on a sample. The lowest applied pressure at which the intruding fluid forms a connected path spanning the sample (the "threshold capillary pressure") is determined. The sample's conductivity or absolute permeability, or both, may be determined in a preferred embodiment from the characteristic pore diameter corresponding to the threshold capillary pressure, an other parameters extracted from the measured capillary pressure data. The invention does not require use of any arbitrary, empirically adjustable parameter to predict conductivity or permeability. The method may be performed to characterize small samples of porous rock such as those obtained during borehold drilling operations. The invention may also be performed to characterize other types of porous samples, such as porous catalysts or electrode materials used in battery technology.

Abstract translation: 通过使用毛细管压力测量法确定多孔样品的孔依赖性质，例如导电性和绝对渗透性的方法。 通过对样品进行非润湿流体侵入测量来获得毛细管压力数据。 入侵流体形成跨越样品的连接路径的最低施加压力（“阈值毛细血管压力”）被确定。 样品的导电率或绝对渗透率，或两者都可以在优选实施方案中从对应于阈值毛细管压力的特征孔径确定，从测量的毛细管压力数据提取的其它参数。 本发明不需要使用任何任意的经验可调参数来预测电导率或渗透性。 可以执行该方法来表征多孔岩石的小样品，例如在钻孔操作期间获得的那些。 还可以执行本发明以表征其它类型的多孔样品，例如用于电池技术的多孔催化剂或电极材料。

公开(公告)号：US06521042B1

公开(公告)日：2003-02-18

申请号：US08667660

申请日：1996-06-21

Applicant: Francis G. Celii ,  Alan J. Katz ,  Yung-Chung Kao ,  Theodore S. Moise

Inventor： Francis G. Celii ,  Alan J. Katz ,  Yung-Chung Kao ,  Theodore S. Moise

IPC: C30B2516

CPC classification number: H01L29/882 ,  B82Y10/00 ,  B82Y15/00 ,  C30B23/002 ,  C30B29/40 ,  H01L21/02392 ,  H01L21/02463 ,  H01L21/02546 ,  H01L21/02631 ,  Y10T117/1004 ,  Y10T117/1008

Abstract: Molecular beam epitaxy (202) with growing layer thickness control (206) by feedback of mass spectrometer (204) signals based on a process model. Examples include III-V compound structures with multiple AlAs, InGaAs, and InAs layers as used in resonant tunneling diodes.

Abstract translation: 基于过程模型，通过质谱仪（204）反馈信号生长层厚度控制（206）的分子束外延（202）。 实例包括具有多个AlAs，InGaAs和InAs层的III-V族化合物结构，如共振隧道二极管所用。

公开(公告)号：US5985025A

公开(公告)日：1999-11-16

申请号：US382324

申请日：1995-02-01

Applicant: Francis G. Celii ,  Alan J. Katz ,  Yung-Chung Kao ,  Theodore S. Moise

Inventor： Francis G. Celii ,  Alan J. Katz ,  Yung-Chung Kao ,  Theodore S. Moise

IPC: C30B23/08 ,  C30B23/02 ,  C30B29/68 ,  H01L21/203 ,  H01L21/338 ,  H01L29/812 ,  H01L29/88 ,  C30B25/16

CPC classification number: H01L29/882 ,  B82Y10/00 ,  B82Y15/00 ,  C30B23/002 ,  C30B29/40 ,  H01L21/02392 ,  H01L21/02463 ,  H01L21/02546 ,  H01L21/02631 ,  Y10T117/1004 ,  Y10T117/1008

Abstract: Molecular beam epitaxy (202) with growing layer thickness control (206) by feedback of mass spectrometer (204) signals based on a process model. Examples include III-V compound structures with multiple AlAs, InGaAs, and InAs layers as used in resonant tunneling diodes.

公开(公告)号：US5141041A

公开(公告)日：1992-08-25

申请号：US763090

申请日：1991-09-20

Applicant: Alan J. Katz ,  Thomas J. Marusak ,  John T. Schnebly

Inventor： Alan J. Katz ,  Thomas J. Marusak ,  John T. Schnebly

IPC: E06B9/262 ,  E06B9/327 ,  E06B9/58

CPC classification number: E06B9/262 ,  E06B9/327 ,  E06B9/58 ,  E06B2009/2625

Abstract: The present invention is an improved multi-cellular shade which is adapted to be mounted within a window and in particular a non-vertical window. The shade has a cut away portion on each of its end. This cut away portion is defined by a stepped section that terminates in an angled section as viewed from the rear side toward the front side of the shade. The stepped section is further defined by two substantially perpendicular walls, one wall being generally perpendicular to the faces of the shade and the second wall being generally parallel to the faces. The second or parallel wall terminates in the angled portion, and the angled portion is at a generally obtuse angle to the second wall. Preferably, the cutaway end of the shade is configured to be recieved with in a C-shaped channel. The channel has a lower leg for supporting the shade and an upper leg having a track for receipt of a drive mechanism to expand and retract the shade, and a flange which extends over a portion of the shade to prevent bowing of the shade. By such disclsoed apparatus, interferences that cause binding are avoided while structural strength of the cellular material is retained.

Abstract translation: 本发明是一种改进的多细胞遮光罩，其适于安装在窗户内，特别是非垂直窗口中。 阴影在其每端都有一个切除部分。 该切除部分由从后侧朝向荫罩的前侧观察而终止于倾斜部分的台阶部分限定。 阶梯部分由两个基本上垂直的壁限定，一个壁大致垂直于荫罩的表面，第二壁大致平行于面。 第二或平行的壁终止于成角度的部分，并且成角度的部分与第二壁成大致钝角。 优选地，遮光罩的切口端被配置为以C形通道接收。 通道具有用于支撑阴凉处的小腿和具有用于接收用于展开和缩回遮光罩的驱动机构的轨道的上腿，以及在遮光罩的一部分上延伸以防止阴影弯曲的凸缘。 通过这样的旋转装置，避免了导致结合的干扰，同时保持了细胞材料的结构强度。

公开(公告)号：US4628468A

公开(公告)日：1986-12-09

申请号：US599842

申请日：1984-04-13

Applicant: Arthur H. Thompson ,  Alan J. Katz ,  Christine E. Krohn

Inventor： Arthur H. Thompson ,  Alan J. Katz ,  Christine E. Krohn

IPC: G01N15/08 ,  H01J37/26 ,  G01V1/40 ,  H01J37/29

CPC classification number: G01N15/088

Abstract: A method and apparatus for predicting pore-dependent physical properties of a microporous solid from measurements of the geometric statistical characteristics of the solid. In a preferred embodiment, the method involves a microscopic determination of the number of geometric features of the pore surface as seen by microscopy performed at several levels of magnification. The fractal dimensionality of the pore space and the range of length scales over which the geometric features of the solid obey a self-similar size distribution are determined. From the measured data, such properties as the porosity, electrical conductivity, and permeability are determined. The method may be performed to determine pore-dependent physical properties of various microporous solids, including reservoir rock, heterogeneous catalyst materials, and electrochemical electrodes. The method may be performed automatically using a specially designed measurement system comprising a microscope or microdensitometer and signal processing means including a computer.

Abstract translation: 通过测量固体的几何统计特性来预测微孔固体的孔依赖物理性能的方法和装置。 在优选实施例中，该方法包括微观确定孔表面的几何特征数，如通过在几个放大倍数下进行的显微镜所观察到的。 确定孔隙空间的分形维数以及固体的几何特征符合自相似尺寸分布的长度尺度范围。 根据测量数据，确定孔隙率，导电性和导磁率等特性。 可以执行该方法以确定各种微孔固体（包括储层岩石，非均相催化剂材料和电化学电极）的孔依赖物理性质。 该方法可以使用特别设计的包括显微镜或微密度计的测量系统以及包括计算机的信号处理装置来自动执行。

公开(公告)号：US5263097A

公开(公告)日：1993-11-16

申请号：US735403

申请日：1991-07-24

Applicant: Alan J. Katz ,  Michael T. Gately

Inventor： Alan J. Katz ,  Michael T. Gately

IPC: G01S3/786 ,  G01S7/41 ,  G06K9/42 ,  G06K9/62 ,  G10L15/02 ,  G06K9/20

CPC classification number: G01S3/7865 ,  G01S7/417 ,  G06K9/42 ,  G06K9/6232 ,  G10L15/02

Abstract: This application discloses a method for distinguishing targets from clutter, comprising the steps of inputting data, extracting feature information from said data, extracting parameter information from said data, normalizing said features with said parameter information to produce parameter normalized feature information, inputting said parameter normalized feature information into the classification procedure, operating said classification procedure on said parameter normalized feature information, and outputting target and clutter data. Classification systems are also disclosed.

Abstract translation: 本申请公开了一种区分目标与杂波的方法，包括以下步骤：输入数据，从所述数据提取特征信息，从所述数据提取参数信息，用所述参数信息对所述特征进行归一化，以产生参数归一化特征信息，输入所述参数归一化 特征信息分类到分类过程中，对所述参数归一化特征信息进行分类处理，输出目标和杂波数据。 还公开了分类系统。

公开(公告)号：US4945494A

公开(公告)日：1990-07-31

申请号：US367272

申请日：1989-06-16

Applicant: Perry A. Penz ,  Michael T. Gately ,  Alan J. Katz

Inventor： Perry A. Penz ,  Michael T. Gately ,  Alan J. Katz

IPC: G01S7/292 ,  G01S7/41 ,  G06K9/62 ,  G06N3/04

CPC classification number: G06K9/6247 ,  G01S7/292 ,  G01S7/417 ,  G06N3/0445

Abstract: Neural network systems (100) with learning and recall are applied to clustered multiple-featured data (122, 124, 126) and analog data.

Abstract translation: 具有学习和召回的神经网络系统（100）被应用于群集多功能数据（122,124,126）和模拟数据。