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    • 2. 发明授权
    • Method and system for predicting resource usage of reusable stream processing elements
    • 用于预测可重用流处理元素资源使用的方法和系统
    • US07941387B2
    • 2011-05-10
    • US11935079
    • 2007-11-05
    • Lisa AminiHenrique AndradeWei FanJames R. GilesKirsten W. HildrumDeepak RajanDeepak S. TuragaRohit WagleJoel L. WolfPhilip S. Yu
    • Lisa AminiHenrique AndradeWei FanJames R. GilesKirsten W. HildrumDeepak RajanDeepak S. TuragaRohit WagleJoel L. WolfPhilip S. Yu
    • G06F17/00G06N5/02
    • G06N99/005
    • A method is provided for generating a resource function estimate of resource usage by an instance of a processing element configured to consume zero or more input data streams in a stream processing system having a set of available resources that comprises receiving at least one specified performance metric for the zero or more input data streams and a processing power of the set of available resources, wherein one specified performance metric is stream rate; generating a multi-part signature of executable-specific information for the processing element and a multi-part signature of context-specific information for the instance; accessing a database of resource functions to identify a static resource function corresponding to the executable-specific information and a context-dependent resource function corresponding to the context-specific information; combining the static resource function and the context-dependent resource function to form a composite resource function for the instance; and applying the resource function to the at least one specified performance metric and the processing power to generate the resource function estimate of the at least one specified performance metric for processing by the instance.
    • 提供了一种用于通过被配置为在具有一组可用资源的流处理系统中消耗零个或多个输入数据流的处理元件的实例来生成资源使用的资源功能估计的方法,所述流处理系统包括:一组可用资源,其包括接收至少一个指定的性能度量 零个或多个输入数据流和可用资源集合的处理能力,其中一个指定的性能度量是流速率; 生成用于处理元件的可执行特定信息的多部分签名和该实例的上下文特定信息的多部分签名; 访问资源功能的数据库以识别与所述可执行特定信息相对应的静态资源功能以及与所述上下文特定信息相对应的与上下文相关的资源功能; 结合静态资源功能和上下文相关资源功能,形成实例的复合资源功能; 以及将所述资源功能应用于所述至少一个指定的性能度量和所述处理能力,以生成所述至少一个指定的性能度量的资源功能估计,以供所述实例处理。
    • 3. 发明申请
    • METHOD AND SYSTEM FOR PREDICTING RESOURCE USAGE OF REUSABLE STREAM PROCESSING ELEMENTS
    • 用于预测资源使用可回收流程处理元素的方法和系统
    • US20090119238A1
    • 2009-05-07
    • US11935079
    • 2007-11-05
    • Lisa AminiHenrique AndradeWei FanJames R. GilesKirsten W. HildrumDeepak RajanDeepak S. TuragaRohit WagleJoel L. WolfPhilip S. Yu
    • Lisa AminiHenrique AndradeWei FanJames R. GilesKirsten W. HildrumDeepak RajanDeepak S. TuragaRohit WagleJoel L. WolfPhilip S. Yu
    • G06N5/04
    • G06N99/005
    • A method is provided for generating a resource function estimate of resource usage by an instance of a processing element configured to consume zero or more input data streams in a stream processing system having a set of available resources that comprises receiving at least one specified performance metric for the zero or more input data streams and a processing power of the set of available resources, wherein one specified performance metric is stream rate; generating a multi-part signature of executable-specific information for the processing element and a multi-part signature of context-specific information for the instance; accessing a database of resource functions to identify a static resource function corresponding to the executable-specific information and a context-dependent resource function corresponding to the context-specific information; combining the static resource function and the context-dependent resource function to form a composite resource function for the instance; and applying the resource function to the at least one specified performance metric and the processing power to generate the resource function estimate of the at least one specified performance metric for processing by the instance.
    • 提供了一种用于通过被配置为在具有一组可用资源的流处理系统中消耗零个或多个输入数据流的处理元件的实例来生成资源使用的资源功能估计的方法,所述流处理系统包括:一组可用资源,其包括接收至少一个指定的性能度量 零个或多个输入数据流和可用资源集合的处理能力,其中一个指定的性能度量是流速率; 生成用于处理元件的可执行特定信息的多部分签名和该实例的上下文特定信息的多部分签名; 访问资源功能的数据库以识别与所述可执行特定信息相对应的静态资源功能以及与所述上下文特定信息相对应的与上下文相关的资源功能; 结合静态资源功能和上下文相关资源功能,形成实例的复合资源功能; 以及将所述资源功能应用于所述至少一个指定的性能度量和所述处理能力以生成所述至少一个指定的性能度量的所述资源功能估计,以供所述实例处理。
    • 7. 发明申请
    • CHARGE SHARING SYSTEM AND METHOD OF LCOS DISPLAY
    • 充电共享系统和LCOS显示方法
    • US20120050245A1
    • 2012-03-01
    • US13265447
    • 2010-09-16
    • Yongping DaiXuhuai DongWei FanYi Fan
    • Yongping DaiXuhuai DongWei FanYi Fan
    • G09G3/36G06F3/038
    • G09G3/3688G09G2310/0248G09G2330/021
    • In the field of a liquid crystal on silicon (LCoS) display, a charge sharing system and a charge sharing method of an LCoS display are provided. The system includes: a column driving circuit, a row driving circuit, a pixel matrix, a control circuit, a gamma reference voltage circuit, and a first switching module. The column driving circuit includes a second switching module, a buffer, a shift register, a latch, and a digital-to-analog (D/A) converter. The second switching module is serially connected between the D/A converter and the buffer. The control circuit simultaneously outputs a signal for controlling turn-off of the buffer, a signal for controlling turn-off of a switch in the second switching module, and a signal for controlling turn-off of the gamma reference voltage circuit. The control circuit outputs a signal for controlling turn-on of a switch in the first switching module. The control circuit outputs a signal for controlling the row driving circuit. The control circuit simultaneously outputs a signal for controlling turn-on of the buffer, a signal for controlling turn-on of the switch in the second switching module, and a signal for controlling turn-on of the gamma reference voltage circuit.
    • 在液晶硅(LCoS)显示领域,提供LCoS显示的电荷共享系统和电荷共享方法。 该系统包括:列驱动电路,行驱动电路,像素矩阵,控制电路,伽马参考电压电路和第一开关模块。 列驱动电路包括第二开关模块,缓冲器,移位寄存器,锁存器和数模(D / A)转换器。 第二开关模块串联连接在D / A转换器和缓冲器之间。 控制电路同时输出用于控制缓冲器的关断的信号,用于控制第二开关模块中的开关的关断的信号和用于控制伽马参考电压电路的关断的信号。 控制电路输出用于控制第一开关模块中的开关的接通的信号。 控制电路输出用于控制行驱动电路的信号。 控制电路同时输出用于控制缓冲器的接通的信号,用于控制第二开关模块中的开关的导通的信号和用于控制伽马参考电压电路的导通的信号。
    • 10. 发明申请
    • METHOD AND APPARATUS FOR STRUCTURAL DATA CLASSIFICATION
    • 用于结构数据分类的方法和装置
    • US20090319457A1
    • 2009-12-24
    • US12141251
    • 2008-06-18
    • Hong ChengWei FanXifeng YanPhilip Shi-lung Yu
    • Hong ChengWei FanXifeng YanPhilip Shi-lung Yu
    • G06N5/02
    • G06N99/005
    • Techniques for classifying structural data with skewed distribution are disclosed. By way of example, a method classifying structural input data comprises a computer system performing the following steps. Multiple classifiers are constructed, wherein each classifier is constructed on a subset of training data, using one or more selected composite features from the subset of training data. A consensus among the multiple classifiers is computed in accordance with a voting scheme such that at least a portion of the structural input data is assigned to a particular class in accordance with the computed consensus. Such techniques for structured data classification are capable of handling skewed class distribution and partial feature coverage issues.
    • 公开了分布具有偏斜分布的结构数据的技术。 作为示例,分类结构输入数据的方法包括执行以下步骤的计算机系统。 构建多个分类器,其中使用来自训练数据的子集的一个或多个选定的复合特征,在训练数据的子集上构建每个分类器。 根据投票方案计算多个分类器之间的共识,使得至少一部分结构输入数据根据所计算的一致性被分配给特定类别。 这种用于结构化数据分类的技术能够处理倾斜的类分布和部分特征覆盖问题。