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    • 2. 发明申请
    • TOXIN DETECTION SYSTEM AND METHOD
    • 毒素检测系统和方法
    • US20120143788A1
    • 2012-06-07
    • US12507589
    • 2009-07-22
    • Joel Bock
    • Joel Bock
    • G06F15/18G06N5/02
    • G01N33/18
    • A system and method of generating a generic binary classifier for the presence of one or more toxins in water is provided. Features are extracted from a plurality of normalized a priori data sets that include one or more control data sets that are representative of an electric cell-substrate impedance sensor (ECIS) response to water with no toxins therein, and a plurality of treatment data sets that are representative of an ECIS response to water with a toxin therein. A plurality of classifier algorithms are trained using the extracted features, and a plurality of classification models are generated from each of the trained classifier algorithms. Each of the classification models is evaluated and, based on the evaluation of each classification model, a subset thereof is selected. The selected subset of the classification models is supplied as the generic binary classifier.
    • 提供了一种用于在水中存在一种或多种毒素的通用二元分类器的系统和方法。 特征是从多个归一化的先验数据集中提取出来的,其包括一个或多个表示对其中没有毒素的水的电池 - 基底阻抗传感器(ECIS)响应的控制数据集,以及多个治疗数据集, 代表了ECIS对水中毒素的反应。 使用所提取的特征来训练多个分类器算法,并且从每个训练分类器算法生成多个分类模型。 对每个分类模型进行评估,并且基于每个分类模型的评估,选择其子集。 所选择的分类模型的子集作为通用二进制分类器提供。
    • 5. 发明申请
    • Method and Apparatus for Utilizing Representational Images in Commercial and Other Activities
    • 在商业和其他活动中利用表征图像的方法和装置
    • US20080056555A1
    • 2008-03-06
    • US11856059
    • 2007-09-17
    • Ronald EricksonEliezer SandlerJoel Bock
    • Ronald EricksonEliezer SandlerJoel Bock
    • G06K9/00
    • H05K13/0053G03H2001/2284
    • In a method and apparatus for performing commercial and other activities using one or more two- or three-dimensional representational images, superimposing a two- or three-dimensional representational image, containing an image of the workpiece in an advanced state of assembly, with a surface or onto the actual workpiece, and utilizing the superimposed representational image to assist in the assembly of the workpiece. One or more two- or three-dimensional representational images are created, e.g., using standard photography, holography or computer imaging, and are placed in a frame integrated within the assembly line of the manufacturing facility. The workpiece is positioned in relation to location of the representational image, such that the representational image may be superimposed onto the workpiece. An assembly operation is then performed using the superimposed representational image as a template.
    • 在使用一个或多个二维或三维表示图像执行商业和其他活动的方法和装置中,将包含工件的图像的二维或三维表示图像叠加在组装的先进状态中, 表面或实际工件上,并利用叠加的表示图像来辅助工件的组装。 创建一个或多个二维或三维表示图像,例如使用标准摄影,全息或计算机成像,并且放置在集成在制造设备的装配线内的框架中。 工件相对于表示图像的位置定位,使得表示图像可以叠加在工件上。 然后使用叠加的表示图像作为模板来执行组装操作。
    • 6. 发明授权
    • Methods systems and apparatus for determining whether built-in-test fault codes are indicative of an actual fault condition or a false alarm
    • 用于确定内置测试故障代码是否指示实际故障状况或虚假警报的方法系统和装置
    • US08621305B2
    • 2013-12-31
    • US12832827
    • 2010-07-08
    • Joel BockPhil ScanduraRaj Mohan Bharadwaj
    • Joel BockPhil ScanduraRaj Mohan Bharadwaj
    • G01R31/28
    • G06F11/263G06F11/2215
    • Methods and apparatus are provided for determining whether a built-in-test fault code (BITFC) data sequence generated by a built-in-test (BIT) of a particular module of a complex system is indicative of an actual fault condition. A regression function is generated for the particular module based on stored BITFC data sequences generated by the BIT and stored repair data for that module from a fault history database. Later, during operation of the particular module, the BIT generates a new BITFC data sequence. A processor can then load the new BITFC data sequence and execute the regression function with respect to the new BITFC data sequence to determine whether the new BITFC data sequence is indicative of an actual fault condition at the particular module or is indicative of a false fault condition at the particular module.
    • 提供了用于确定由复杂系统的特定模块的内置测试(BIT)产生的内置测试故障码(BITFC)数据序列是否指示实际故障状况的方法和装置。 基于由BIT生成的存储的BITFC数据序列并针对该模块从故障历史数据库存储的修复数据,为特定模块生成回归函数。 之后,在特定模块的操作期间,BIT生成新的BITFC数据序列。 然后,处理器可以加载新的BITFC数据序列并且相对于新的BITFC数据序列执行回归函数,以确定新的BITFC数据序列是否指示特定模块处的实际故障状态或指示假故障条件 在特定的模块。