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    • 1. 发明授权
    • Failure recovery method, computer system, and storage medium recorded failure recovery program for a stream data processing system
    • 故障恢复方法,计算机系统和存储介质记录了流数据处理系统的故障恢复程序
    • US08369207B2
    • 2013-02-05
    • US12644973
    • 2009-12-22
    • Noriaki TakahashiSatoru WatanabeTomohiro Hanai
    • Noriaki TakahashiSatoru WatanabeTomohiro Hanai
    • G06F11/00
    • G06F11/2097G06F11/2038G06F11/2048G06F2201/835
    • Provided is a failure recovery method for switching to a standby system if a failure occurs in an active system, which allows reduction of loads on the standby system and a network. A computer system, which receives data to which timestamp information is appended in a chronological order and processes the received data by registered queries, includes the active system for processing the received data and the standby system for processing the received data instead of the active system upon occurrence of a failure. The active system processes the received data by the respective queries according to a predefined sequence, and transmits results obtained from the received data by the respective queries to the standby system as intermediate data on a query basis at a predetermined timing. The standby system restores the data by processing the received data and the intermediate data if a failure occurs in the active system.
    • 提供了如果在活动系统中发生故障而切换到备用系统的故障恢复方法,这允许减少备用系统和网络上的负载。 接收按时间顺序接收时间戳信息的数据并通过注册查询处理接收到的数据的计算机系统包括用于处理接收到的数据的活动系统和用于处理接收到的数据而不是主动系统的备用系统 发生故障。 活动系统根据预定义的顺序对相应查询处理接收到的数据,并且在预定的定时将基于各个查询的接收数据获得的结果作为中间数据在查询的基础上发送到备用系统。 如果在活动系统中发生故障,则备用系统通过处理接收到的数据和中间数据来恢复数据。
    • 2. 发明授权
    • Coefficient learning apparatus and method, image processing apparatus and method, program, and recording medium
    • 系数学习装置和方法,图像处理装置和方法,程序和记录介质
    • US08433145B2
    • 2013-04-30
    • US12568122
    • 2009-09-28
    • Takahiro NaganoYasuhiro SutoNoriaki TakahashiTetsujiro Kondo
    • Takahiro NaganoYasuhiro SutoNoriaki TakahashiTetsujiro Kondo
    • G06K9/62
    • H04N7/0125G06T3/40H04N7/0145
    • A coefficient learning apparatus includes a regression coefficient calculation unit configured to obtain a tap from an image of a first signal; a regression prediction value calculation unit configured to perform a regression prediction computation; a discrimination information assigning unit configured to assign discrimination information to the pixel of interest; a discrimination coefficient calculation unit configured to obtain a tap from the image of the first signal; a discrimination prediction value calculation unit configured to perform a discrimination prediction computation; and a classification unit configured to classify each of the pixels of the image of the first signal into one of the first discrimination class and the second discrimination class. The regression coefficient calculation unit further calculates the regression coefficient using only the pixels classified as the first discrimination class and further calculates the regression coefficient using only the pixel classified as the second discrimination class.
    • 系数学习装置包括回归系数计算单元,被配置为从第一信号的图像获得抽头; 回归预测值计算单元,被配置为执行回归预测计算; 鉴别信息分配单元,被配置为向感兴趣的像素分配识别信息; 鉴别系数计算单元,被配置为从所述第一信号的图像获得抽头; 鉴别预测值计算单元,被配置为执行判别预测计算; 以及分类单元,被配置为将第一信号的图像的每个像素分类为第一辨别类别和第二辨别类别中的一个。 回归系数计算单元进一步使用仅被分类为第一鉴别类的像素来计算回归系数,并且仅使用分类为第二鉴别类的像素来计算回归系数。