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    NEURO-PARITY PATTERN RECOGNITION SYSTEM AND METHOD
    62.
    发明申请
    NEURO-PARITY PATTERN RECOGNITION SYSTEM AND METHOD 审中-公开
    神经元特征模式识别系统及方法

    公开(公告)号：WO9964962A9

    公开(公告)日：2000-03-23

    申请号：PCT/US9913054

    申请日：1999-06-09

    Applicant: ARCH DEV CORP

    Inventor： GROSS KENNETH C ,  SINGER RALPH M ,  VAN ALSTINE ROLLIN G ,  WEGERICH STEPHAN W ,  YUE YONG

    IPC: G21D3/04 ,  G06F15/18

    CPC classification number: G21D3/04 ,  Y02E30/40

    Abstract: A method and system for monitoring a process and determining its condition. Initial data is sensed, a first set of virtual data is produced by applying a system state (20) analyzation to the initial data, a second set of virtual data is produced by applying a neural network (40) analyzation to the initial data and a parity space (50) analyzation is applied to the first and second set of virtual data and also to the initial data to provide a parity space (50) decision about the condition of the process. A logic test (60) can further be applied to produce a further system decision about the state of the process.

    Abstract translation: 一种用于监控过程并确定其状况的方法和系统。 感测初始数据，通过对初始数据应用系统状态（20）分析来产生第一组虚拟数据，通过对初始数据应用神经网络（40）分析产生第二组虚拟数据，并且 将奇偶校验空间（50）分析应用于第一和第二组虚拟数据以及初始数据，以提供关于处理条件的奇偶校验空间（50）决定。 可以进一步应用逻辑测试（60）来产生关于过程状态的进一步的系统决策。

    SYSTEM FOR SURVEILLANCE OF SPECTRAL SIGNALS
    64.
    发明申请
    SYSTEM FOR SURVEILLANCE OF SPECTRAL SIGNALS 审中-公开
    光谱信号监测系统

    公开(公告)号：WO9926073A8

    公开(公告)日：1999-08-12

    申请号：PCT/US9823166

    申请日：1998-10-30

    Applicant: ARCH DEV CORP

    Inventor： GROSS KENNETH C ,  WEGERICH STEPHAN ,  CRISS-PUSZKIEWICZ CYNTHIA ,  WILKS ALAN D

    IPC: G01N21/35 ,  G01N21/64 ,  G01R23/16

    CPC classification number: G01R23/16

    Abstract: The invention is a method and system for monitoring at least one of a system, a process and a data source. A method and system have been developed for carrying out surveillance, testing and modification of an ongoing process or other source of data, such as a spectroscopic examination. A signal from the system under surveillance is collected and compared with a learned states (40), a frequency domain transformation carried out for the system signal and reference signal, and a frequency domain difference function is established. The process is then repeated until a full range of data is accumulated over the time domain and an SPRT methodology (50) is applied to determine a three-dimensional surface plot (60) characteristic of the operating state of the system under surveillance.

    Abstract translation: 本发明是用于监视系统，过程和数据源中的至少一个的方法和系统。 已经开发了用于对正在进行的过程或其他数据源（例如光谱检查）进行监视，测试和修改的方法和系统。 收集来自被监视系统的信号，并与学习状态（40）进行比较，建立了对系统信号和参考信号进行的频域变换，并建立了频域差分函数。 然后重复该过程，直到在时域上累积完整的数据范围，并且应用SPRT方法（50）来确定监视系统的操作状态特征的三维表面图（60）。

    ACETYL-COA CARBOXYLASE COMPOSITIONS AND METHODS OFACETYL-COA CARBOXYLASE COMPOSITIONS AND METHODS OF USE USE
    66.
    发明申请
    ACETYL-COA CARBOXYLASE COMPOSITIONS AND METHODS OFACETYL-COA CARBOXYLASE COMPOSITIONS AND METHODS OF USE USE 审中-公开
    乙酰辅酶A羧酸酯组合物和乙酰-CoC羧酸酯组合物的方法及使用方法

    公开(公告)号：WO9632484A3

    公开(公告)日：1997-05-01

    申请号：PCT/US9605095

    申请日：1996-04-12

    Applicant: ARCH DEV CORP

    Inventor： HASELKORN ROBERT ,  GORNICK PIOTR

    IPC: C12N9/00 ,  C12N15/82 ,  C12N15/52 ,  A01H5/00 ,  C12Q1/68

    CPC classification number: C12N9/93 ,  C12N15/8247 ,  C12N15/8274

    Abstract: The present invention provides isolated and purified polynucleotides that encode plant and cyanobacterial polypeptides that participate in the carboxylation of acetyl-CoA. Isolated cyanobacterial and plant polypeptides that catalyze acetyl-CoA carboxylation are also provided. Processes for altering acetyl-CoA carboxylation, increasing herbicide resistance of plants and identifying herbicide resistant variants of acetyl-CoA carboxylase are also provided.

    Abstract translation: 本发明提供分离和纯化的多核苷酸，其编码参与乙酰辅酶A羧化的植物和蓝细菌多肽。 还提供了分离的蓝细菌和催化乙酰辅酶A羧化的植物多肽。 还提供了改变乙酰辅酶A羧化，增加植物的除草剂抗性和鉴定乙酰辅酶A羧化酶的除草剂抗性变体的方法。

    COMPUTER SUPPORTED DIAGNOSTIC DEVICE
    68.
    发明专利
    COMPUTER SUPPORTED DIAGNOSTIC DEVICE 失效

    公开(公告)号：JPH09185714A

    公开(公告)日：1997-07-15

    申请号：JP26416296

    申请日：1996-10-04

    Applicant: ARCH DEV CORP

    Inventor： JINNUEI JIYU ,  DOI KUNIO

    IPC: A61B6/00 ,  G06F15/18 ,  G06N3/00 ,  G06Q50/00 ,  G06T1/00 ,  G06T7/00 ,  G06F19/00

    Abstract: PROBLEM TO BE SOLVED: To precisely detect a small node from a chest X-ray image. SOLUTION: In a computer supported diagnostic method for detecting a lung small node in a digitized chest image, this method takes the difference between the signal emphasized image and the signal suppressed image of the chest image to generate a difference picture (a), repeats the threshold value processing of the difference picture by plural threshold values concerning gradation while changing a threshold value, executes a prescribed morphological test to a pixel group with a value larger than each threshold value to specify the candidate of the small node (b), executes plural regular tests to the prescribed feature of the image appearing at the difference image and the chest image by corresponding spatially to excludes the small nodes of pseudo positive reaction from the candidates of the small nodes (c), and additionally excludes the small nodes of pseud positive reaction from the candidates of the residual small nodes at the step (c) by an artificial neural network to specify the residual candidates of the small nodes as the candidates of the true small nodes (d).

    SHIFT UNCHANGED ARTIFICIAL NEURAL NETWORK FOR COMPUTER DETECTION OF GREGARIOUS FINE CALCARE PART IN X-RAY IMAGE OF BREAST
    69.
    发明专利
    SHIFT UNCHANGED ARTIFICIAL NEURAL NETWORK FOR COMPUTER DETECTION OF GREGARIOUS FINE CALCARE PART IN X-RAY IMAGE OF BREAST 失效

    公开(公告)号：JPH09179843A

    公开(公告)日：1997-07-11

    申请号：JP26851596

    申请日：1996-10-09

    Applicant: ARCH DEV CORP

    Inventor： UEI TSUAN ,  DOI KUNIO

    IPC: A61B6/00 ,  G06F15/18 ,  G06N3/00 ,  G06N3/08 ,  G06Q50/00 ,  G06T1/40 ,  G06T7/00 ,  G06F19/00

    Abstract: PROBLEM TO BE SOLVED: To provide the shift unchanged artificial neural network for detecting disease in a digital image. SOLUTION: This network includes an input layer and at least hidden layer and an output layer includes at least one neuron. Each hidden layer includes at least one hidden group. Each hidden group having at least one hidden unit includes at least one neuron. For learning using error back propagation algorithm so that the mean weight of a group becomes substantially zero, respective neurons need to be equal in connection weight between two groups in adjacent layers. A digital image of a patient is obtained to extract a suspicious area of interest and this area of interest is converted into numeric data, which are inputted to the neural network after the learning to detect a fine calcare part.

    METHOD AND DEVICE FOR DETECTING TIME CHANGE BETWEEN CONTINUOUS BREAST IMAGES IN TIME
    70.
    发明专利
    METHOD AND DEVICE FOR DETECTING TIME CHANGE BETWEEN CONTINUOUS BREAST IMAGES IN TIME 失效

    公开(公告)号：JPH0737074A

    公开(公告)日：1995-02-07

    申请号：JP28488493

    申请日：1993-11-15

    Applicant: ARCH DEV CORP

    Inventor： KANO AKIKO ,  DOI KUNIO

    IPC: A61B6/00 ,  G06Q50/00 ,  G06T1/00 ,  G06T3/00 ,  G06T5/50 ,  G06T7/00 ,  G06F19/00 ,  H04N5/325

    Abstract: PURPOSE: To provide a computerized method and device for improving the precision of diagnosis through the use of a picture emphasized for detecting secular change between hourly consecutive digital medical picture. CONSTITUTION: A pair of pictures are digitized (steps 10 and 20) and in order to make corresponding positions at the two pictures equal, the positioning of the pictures including the distortion of one of the pictures to be nonlinear is executed (step 40). After this, the distorted picture and the other picture are subtraction-processed (step 50). A slightly opaque part existing at a picture photographed later is detected at a subtraction picture.

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