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    • 12. 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。
    • 13. 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。
    • 15. 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。
    • 16. 发明授权
    • Optimized auction commodity distribution system, method, and computer program product
    • 优化拍卖商品分销系统,方法和计算机程序产品
    • US07636675B1
    • 2009-12-22
    • US10632799
    • 2003-08-04
    • Jie ChengJie DuWei Fan
    • Jie ChengJie DuWei Fan
    • G06Q30/00
    • G06Q10/04G06Q30/08
    • A commodity product distribution plan is used to instruct source sites as to how commodity products are to be distributed among target sites. Where the commodity products are to be sold at auction, a wide range of auction prices can be expected due to mixed models, model years, commodity attributes such as color or optional features, economic conditions, and the auction site location itself. Additional factors that contribute to realized auction prices include depreciation and interest rate costs as well as constraints on shipments and auction site capacities. The present invention provides forecast auction prices for the commodity products, taking these various factors into consideration. In this way, an optimized distribution planned aimed at maximizing the potential profit for the commodity products to be sold at auction is generated.
    • 商品产品分配计划用于指示源站点如何在目标站点之间分发商品产品。 如果商品在拍卖会上出售,由于混合模型,模特年份,颜色或可选特征,经济条件和拍卖地点本身等商品属性,可以预期拍卖价格范围广泛。 促成实现拍卖价格的其他因素包括折旧和利率成本以及出货和拍卖现场能力的限制。 本发明提供了商品的预测拍卖价格,并考虑了这些因素。 这样就可以产生一个优化的分销计划,旨在最大限度地提高在拍卖会上出售的商品的潜在利润。
    • 17. 发明授权
    • System and method for mining time-changing data streams
    • 挖掘时变数据流的系统和方法
    • US07565369B2
    • 2009-07-21
    • US10857030
    • 2004-05-28
    • Wei FanHaixun WangPhilip S. Yu
    • Wei FanHaixun WangPhilip S. Yu
    • G06F17/30
    • G06N99/005Y10S707/99943Y10S707/99945
    • A general framework for mining concept-drifting data streams using weighted ensemble classifiers. An ensemble of classification models, such as C4.5, RIPPER, naive Bayesian, etc., is trained from sequential chunks of the data stream. The classifiers in the ensemble are judiciously weighted based on their expected classification accuracy on the test data under the time-evolving environment. Thus, the ensemble approach improves both the efficiency in learning the model and the accuracy in performing classification. An empirical study shows that the proposed methods have substantial advantage over single-classifier approaches in prediction accuracy, and the ensemble framework is effective for a variety of classification models.
    • 采用加权综合分类器挖掘概念漂移数据流的一般框架。 分类模型的集合,例如C4.5,RIPPER,朴素贝叶斯等,是从数据流的连续块中训练出来的。 根据其在时间不断变化的环境下的测试数据的预期分类精度,合理地加权集合中的分类器。 因此,综合方法提高了学习模型的效率和执行分类的准确性。 实证研究表明,所提出的方法在预测精度方面具有优于单分类器方法的优势,并且整体框架对于各种分类模型是有效的。