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    • 31. 发明申请
    • Glass substrate transmission device and method for detecting the rotational synchronization of driven shafts
    • 用于检测从动轴的旋转同步的玻璃基板传输装置和方法
    • US20130341160A1
    • 2013-12-26
    • US13578257
    • 2012-06-28
    • Zenghong ChenChunhao WuKunhsien LinXiande LiYongqiang WangWeibing YangMinghu QiZhenhua GuoYunshao Jiang
    • Zenghong ChenChunhao WuKunhsien LinXiande LiYongqiang WangWeibing YangMinghu QiZhenhua GuoYunshao Jiang
    • B65G43/10
    • B65G43/10B65G49/064
    • The present invention provides a glass substrate transmission device and a method for detecting the rotational synchronization of driven shafts. The device comprising: multiple driven shafts, the multiple driven shafts are disposed parallel at intervals along a first direction and each of the driven shafts has a through hole at the first direction; multiple rollers fixed at intervals on the driven shafts for carrying a glass substrate, and rotate with the driven shaft to flow the glass substrate; a reflection; an infrared sensor unit emitting the infrared and receives a reflection light reflected back by an obstacles and emitted by the infrared sensor unit, and determine the rotational synchronization of the driven shafts according to the value of the intensity of the reflected light. The through holes and the reflection plate are located at the propagation direction of the infrared of the infrared sensor unit. By above way, the present invention can timely detect that if the multiple driven shafts rotate synchronously or stop rotating to avoid the glass substrate from scratch or break.
    • 本发明提供了一种用于检测从动轴的旋转同步的玻璃基板传输装置和方法。 所述装置包括:多个从动轴,所述多个从动轴沿着第一方向间隔设置,每个从动轴在第一方向具有通孔; 多个辊子间隔地固定在从动轴上用于承载玻璃基板,并随着驱动轴转动以使玻璃基板流动; 反思; 红外线传感器单元,其发射红外线并接收被红外线传感器单元发射的障碍物反射的反射光,并根据反射光强度的值确定从动轴的旋转同步。 通孔和反射板位于红外线传感器单元的红外线的传播方向。 通过上述方式,本发明可以及时检测到多个从动轴同步旋转或停止旋转以避免玻璃基板划伤或断裂。
    • 38. 发明申请
    • SEMI-TIED COVARIANCE MODELLING FOR HANDWRITING RECOGNITION
    • 用于手写识别的半自动混合建模
    • US20100239168A1
    • 2010-09-23
    • US12407791
    • 2009-03-20
    • Qiang HuoYongqiang Wang
    • Qiang HuoYongqiang Wang
    • G06K9/18
    • G06K9/6278
    • Described is a technology by which handwriting recognition is performed using a semi-tied covariance modeling (STC) that requires far less memory than other models such as MQDF. Offline training, such as via maximum likelihood and/or minimum classification error techniques, provides classification data. The classification data includes semi-tied transforms that are shared by classes, along with a class-dependent diagonal matrix and a mean vector corresponding to each class. The semi-tied transforms and class-dependent diagonal matrices are obtained by processing a precision matrix for each class. In online recognition, received handwritten input (e.g., an East Asian character) is classified into a class, based upon the class-dependent diagonal matrices and the semi-tied transforms, by a STC recognizer that outputs similarity scores for candidates and a decision rule that selects the most likely class.
    • 描述了使用半绑合协方差建模(STC)执行手写识别的技术,其需要比其他模型如MQDF少得多的存储器。 离线训练,例如通过最大似然和/或最小分类错误技术,提供分类数据。 分类数据包括由类共享的半连接变换,以及类依赖对角矩阵和对应于每个类的平均向量。 通过处理每个类的精度矩阵获得半绑定变换和类依赖对角矩阵。 在在线识别中,通过输出候选人的相似性分数的STC识别器和决策规则,基于类依赖对角矩阵和半连接变换将接收到的手写输入(例如,东亚字符)分类为类 选择最可能的类。