会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 12. 发明授权
    • Belt type continuously variable transmission control system
    • 皮带式无级变速控制系统
    • US08795111B2
    • 2014-08-05
    • US13142570
    • 2009-12-28
    • Yuzo OkuboAtsushi Sato
    • Yuzo OkuboAtsushi Sato
    • F16H61/662
    • F16H61/66272F16H59/18F16H59/54F16H2059/183
    • When a driver returns an accelerator pedal, preliminary pressure increase apparatus increases a line pressure to a preliminary pressure increase value according to the speed of return of an accelerator pedal detected by an accelerator pedal return speed sensor. When a braking state sensor detects that the speed of depression of a brake pedal is a predetermined value or above, pressure increase when braking apparatus further increases the line pressure from the preliminary pressure increase value to a slip preventing pressure increase value. The line pressure is increased to a preliminary pressure increase value when it is predicted that braking will be carried out subsequent to an accelerator pedal return operation, when subsequently there is sudden braking it becomes possible to increase the line pressure to a slip preventing pressure increase value that can prevent an endless belt from slipping accompanying sudden braking.
    • 当驾驶员返回加速器踏板时,预压力增加装置根据由加速器踏板返回速度传感器检测到的加速踏板的返回速度将管路压力增加到初步压力增加值。 当制动状态传感器检测到制动踏板的下压速度为预定值或更高时,制动装置进一步将管路压力从预压力增加值增加到防滑压力增加值时的压力增加。 当预测在加速器踏板返回操作之后将执行制动时,线压力增加到初步压力增加值,当随后突然制动时,可以将管路压力增加到防滑压力增加值 这可以防止环形带随着突然制动而滑倒。
    • 16. 发明申请
    • RECOGNITION DICTIONARY GENERATING DEVICE AND PATTERN RECOGNITION DEVICE
    • 识别词典生成装置和图案识别装置
    • US20130290228A1
    • 2013-10-31
    • US13978566
    • 2011-12-28
    • Atsushi Sato
    • Atsushi Sato
    • G06N99/00
    • G06N99/005G06K9/6255G06K9/6271G10L15/063
    • A recognition dictionary generating device includes a unit that acquires plural reference vectors each containing an offset value indicating a degree of importance; a unit that selects a first reference vector belonging to the class same as an input vector and having the minimum distance from the input vector, and a second reference vector belonging to a class different from the input vector and having the minimum distance from the input vector; a unit that acquires a first distance value indicating a distance between the input vector and the first reference vector and a second distance value indicating a distance between the input vector and the second reference vector; a unit that corrects the first reference vector and the second reference vector using a coefficient changing in accordance with a relationship between the first distance value and the second distance value, the first distance value, and the second distance value; and a determining unit that determines a reference vector to be excluded from a recognition dictionary in accordance with the offset value of the corrected first reference vector and second reference vector.
    • 识别字典生成装置包括:单位,其获取多个参考矢量,每个参考矢量包含指示重要度的偏移值; 选择属于与输入向量相同的类并且具有距离输入向量的最小距离的第一参考矢量的单元,以及属于与输入向量不同的类并且与输入矢量具有最小距离的第二参考矢量 ; 获取表示所述输入向量与所述第一参考向量之间的距离的第一距离值的单元和指示所述输入向量与所述第二参考矢量之间的距离的第二距离值; 使用根据第一距离值和第二距离值,第一距离值和第二距离值之间的关系改变的系数来校正第一参考矢量和第二参考矢量的单元; 以及确定单元,其根据校正的第一参考矢量和第二参考矢量的偏移值,确定要从识别字典排除的参考矢量。
    • 18. 发明申请
    • PATTERN RECOGNIZER, PATTERN RECOGNITION METHOD AND PROGRAM FOR PATTERN RECOGNITION
    • 模式识别器,模式识别方法和模式识别程序
    • US20130129220A1
    • 2013-05-23
    • US13521227
    • 2010-12-20
    • Atsushi Sato
    • Atsushi Sato
    • G06K9/62
    • G06K9/62G06K9/6269G06N3/08G06N99/005
    • A loss calculation element calculates a loss of a feature vector for each class, the feature vector indicating a feature of data belonging to the class. A loss difference calculation element calculates a sum of differences of losses between the classes based on the loss calculated for each class. A recognition dictionary creation element creates a recognition dictionary based on a total sum of losses calculated for the classes and the total sum of loss differences between the classes. The recognition dictionary creation element corrects, on a basis of an input feature vector, a recognition dictionary so as to minimize a sum of the total sum of losses for the classes calculated by the loss calculation element and the total sum of loss differences between the classes calculated by the loss difference calculation element, and the pattern classification element classifies a pattern of data using the corrected recognition dictionary.
    • 损失计算元素计算每个类的特征向量的丢失,该特征向量指示属于该类的数据的特征。 损失差异计算元素根据每个等级计算出的损失来计算类别之间的损失差的总和。 识别字典创建元素基于针对类计算的损失的总和和类之间的损失差的总和创建识别字典。 识别字典创建元件基于输入特征向量来校正识别字典,以便将由损失计算元素计算的类别的损失总和与类别之间的损失差的总和最小化 由损失差计算元件计算,并且模式分类元素使用校正的识别字典对数据的模式进行分类。