SYSTEMS, METHODS, AND COMPUTER READABLE MEDIA FOR CONSISTENTLY RENDERING USER INTERFACE COMPONENTS
    92.
    发明申请
    SYSTEMS, METHODS, AND COMPUTER READABLE MEDIA FOR CONSISTENTLY RENDERING USER INTERFACE COMPONENTS 审中-公开
    用于一致性渲染用户界面组件的系统,方法和计算机可读介质

    公开(公告)号:US20060053411A1

    公开(公告)日:2006-03-09

    申请号:US10711296

    申请日:2004-09-09

    申请人: Masaaki Takamiya

    发明人: Masaaki Takamiya

    IPC分类号: G06F9/44 G06F17/21

    CPC分类号: G06F17/2247 G06F17/227

    摘要: A system, method, and computer readable medium are provided for consistently rendering graphical user interface (GUI) components from disparate web server delivery mechanisms. To this end, a Javascript script is downloaded with a web page and, when executed, accesses a style sheet which is typically used when displaying HTML. From the style sheet, the Javascript script retrieves GUI information describing the look and feel of the user interface components composing the web page. Utilizing an application programming interface (API), a downloaded Java® applet retrieves the GUI information from the Javascript script. The Java® applet utilizes the retrieved GUI information to render subsequent GUI screens.

    摘要翻译: 提供了一种系统,方法和计算机可读介质,用于从不同的web服务器传送机制一致地呈现图形用户界面(GUI)组件。 为此,一个Javascript脚本被下载到一个网页上,当被执行时,它访问通常在显示HTML时使用的样式表。 从样式表中,Javascript脚本检索描述构成网页的用户界面组件的外观的GUI信息。 利用应用程序编程接口(API),下载的Java(R)小程序从Javascript脚本检索GUI信息。 Java小应用程序利用所检索的GUI信息来呈现随后的GUI屏幕。

    System and method for continuous diagnosis of data streams
    94.
    发明申请
    System and method for continuous diagnosis of data streams 失效
    用于连续诊断数据流的系统和方法

    公开(公告)号:US20060010093A1

    公开(公告)日:2006-01-12

    申请号:US10880913

    申请日:2004-06-30

    IPC分类号: G06F17/30

    摘要: In connection with the mining of time-evolving data streams, a general framework that mines changes and reconstructs models from a data stream with unlabeled instances or a limited number of labeled instances. In particular, there are defined herein statistical profiling methods that extend a classification tree in order to guess the percentage of drifts in the data stream without any labelled data. Exact error can be estimated by actively sampling a small number of true labels. If the estimated error is significantly higher than empirical expectations, there preferably re-sampled a small number of true labels to reconstruct the decision tree from the leaf node level.

    摘要翻译: 与挖掘时间不断变化的数据流有关的一般框架,即从具有未标记实例的数据流或有限数量的标记实例中挖掘变更和重建模型。 特别地,这里定义了扩展分类树的统计分析方法,以便在没有任何标记数据的情况下猜测数据流中漂移的百分比。 可以通过主动抽取少量真实标签来估计精确误差。 如果估计的误差明显高于经验期望值,则最好重新采样少量的真实标签,以从叶节点级别重建决策树。

    Apparatus and method of displaying electronic desktops based on a scheduler or network connection
    95.
    发明申请
    Apparatus and method of displaying electronic desktops based on a scheduler or network connection 失效
    基于调度器或网络连接显示电子桌面的装置和方法

    公开(公告)号:US20050268246A1

    公开(公告)日:2005-12-01

    申请号:US11182575

    申请日:2005-07-18

    IPC分类号: G06F3/00 G09G5/00 H04L29/08

    摘要: A method and apparatus for selecting a desktop from a plurality of desktops for use upon turning on a computer system are provided. When the computer system is turned on, it is first determined whether there is more than one desktop available in the computer system. If so, the computer system determines whether a network address is associated with some or all of the available desktops by comparing its network address with the network addresses that are associated with the available desktops. If the computer system finds a network address that is the same as its own network address, the computer system then uses the desktop associated with the stored network address.

    摘要翻译: 提供了一种用于在打开计算机系统时用于从多个桌面中选择桌面的方法和装置。 当计算机系统打开时,首先确定计算机系统中是否有多个桌面可用。 如果是这样,计算机系统通过将网络地址与可用桌面相关联的网络地址进行比较来确定网络地址是否与某些或所有可用的桌面相关联。 如果计算机系统找到与其自己的网络地址相同的网络地址,则计算机系统然后使用与存储的网络地址相关联的桌面。

    Methods and apparatus for statstical biometric model migration
    96.
    发明申请
    Methods and apparatus for statstical biometric model migration 有权
    用于统计生物特征模型迁移的方法和装置

    公开(公告)号:US20050267752A1

    公开(公告)日:2005-12-01

    申请号:US10857029

    申请日:2004-05-28

    IPC分类号: G06K9/62 G10L15/00 G10L17/00

    CPC分类号: G06K9/6226 G10L17/04

    摘要: In large-scale deployments of speaker recognition systems the potential for legacy problems increases as the evolving technology may require configuration changes in the system thus invalidating already existing user voice accounts. Unless the entire database of original speech waveform were stored, users need to reenroll to keep their accounts functional, which, however, may be expensive and commercially not acceptable. Model migration is defined as a conversion of obsolete models to new-configuration models without additional data and waveform requirements. The present disclosure investigates ways to achieve such a migration with minimum loss of system accuracy.

    摘要翻译: 在扬声器识别系统的大规模部署中,传统问题的潜力随着不断变化的技术可能需要系统中的配置更改而增加,从而使已经存在的用户语音帐户无效。 除非存储了原始语音波形的整个数据库,否则用户需要重新注册以保持其帐户的功能,然而,这可能是昂贵的并且在商业上是不可接受的。 模型迁移定义为过时模型转换为新配置模型,而不需要额外的数据和波形要求。 本公开调查了以最小的系统精度损失实现这种迁移的方式。

    Dynamic reconfiguration of memory in a multi-cluster storage control unit
    98.
    发明申请
    Dynamic reconfiguration of memory in a multi-cluster storage control unit 失效
    多集群存储控制单元中的内存动态重新配置

    公开(公告)号:US20050193240A1

    公开(公告)日:2005-09-01

    申请号:US10781467

    申请日:2004-02-17

    IPC分类号: G06F11/00

    摘要: A data storage control unit is coupled to one or more host devices and to one or more physical storage units, the storage control unit configured as a plurality of clusters. Each cluster includes cache memory and often non-volatile storage (NVS). The storage control unit receives and processes write requests from the host devices and directs that data updates be temporarily stored in the cache in one cluster and copied to the NVS of the other cluster. The data updates are subsequently destaged to the logical ranks associated with each cluster. During an initial microcode load (IML) of the storage controller, space in the cache and NVS of each cluster is allocated to buffers with the remaining cache and NVS space being allocated to customer data. After an IML has been completed, the size of the buffers become fixed and no further buffer allocation may occur. Method, apparatus and program product are provided by which a data storage controller dynamically reconfigures NVS and cache memory in multiple clusters, particularly when it is desired to change the size of the NVS and cache of either or both clusters.

    摘要翻译: 数据存储控制单元耦合到一个或多个主机设备和一个或多个物理存储单元,该存储控制单元配置为多个集群。 每个集群包括高速缓存和通常的非易失性存储(NVS)。 存储控制单元接收并处理来自主机设备的写入请求,并指示数据更新临时存储在一个集群中的高速缓存中,并复制到另一个集群的NVS。 数据更新随后转移到与每个集群相关联的逻辑排名。 在存储控制器的初始微代码加载(IML)期间,每个集群的高速缓存和NVS中的空间被分配给缓冲区,其余的高速缓存和NVS空间被分配给客户数据。 在完成IML之后,缓冲区的大小变得固定,并且不会发生进一步的缓冲区分配。 提供了方法,装置和程序产品,数据存储控制器通过该产品动态地重新配置NVS和多个集群中的高速缓冲存储器,特别是当希望改变NVS和任一个或两个集群的高速缓存的大小时。

    Voice model for speech processing
    100.
    发明申请
    Voice model for speech processing 有权
    语音处理语音模型

    公开(公告)号:US20050137862A1

    公开(公告)日:2005-06-23

    申请号:US10740661

    申请日:2003-12-19

    申请人: Michael Monkowski

    发明人: Michael Monkowski

    IPC分类号: G10L15/02 G10L15/06 G10L19/14

    CPC分类号: G10L15/02 G10L15/06

    摘要: Methods and arrangements for generating a voice model in speech processing. Upon accepting at least two input vectors with spectral features, vectors of ranks are created via ranking values of the spectral features of each input vector, ordered vectors are created via arranging the values of each input vector according to rank, and a vector of ordered average values is created via determining the average of corresponding values of the ordered vectors. Thence, a vector of ordered average ranks is created via determining the sum or average of the vectors of ranks, a vector of ordered ranks is created via ranking the values of the ordered average ranks and a spectral feature vector is created via employing the rank order represented by the vector of ordered ranks to reorder the vector of ordered average ranks.

    摘要翻译: 在语音处理中生成语音模型的方法和布置。 在接收具有光谱特征的至少两个输入向量时,通过每个输入向量的光谱特征的等级值来创建等级的向量,通过根据秩排列每个输入向量的值和有序平均的向量来创建有序向量 通过确定有序向量的对应值的平均值来创建值。 因此,通过确定等级向量的和或平均来创建有序平均队列的向量,通过排序有序平均队列的值来创建有序队列的向量,并且通过使用等级顺序创建频谱特征向量 由有序秩序的向量表示,以重新排列有序平均排名的向量。