Methods and apparatus for software value prediction
    51.
    发明申请
    Methods and apparatus for software value prediction 审中-公开
    软件价值预测的方法和装置

    公开(公告)号:US20050144604A1

    公开(公告)日:2005-06-30

    申请号:US10817098

    申请日:2004-04-02

    IPC分类号: G06F9/45

    CPC分类号: G06F11/3612

    摘要: Methods and apparatus to predict software values are disclosed. In one example, a method identifies a variable associated with one or more machine readable instructions, determines a predicted value of the variable based on a pattern, generates a value prediction instruction to predict a run-time value using the predicted value of the variable based on the pattern, and combines the value prediction instruction with the one or more machine readable instructions.

    摘要翻译: 公开了预测软件价值的方法和装置。 在一个示例中,方法识别与一个或多个机器可读指令相关联的变量,基于模式确定变量的预测值,生成值预测指令,以使用基于变量的预测值来预测运行时间值 并且将所述值预测指令与所述一个或多个机器可读指令组合。

    Self-Mechanical-Cleaning Toilet System with Water-Splash Cleaning Options

    公开(公告)号:US20220257070A1

    公开(公告)日:2022-08-18

    申请号:US17673771

    申请日:2022-02-16

    申请人: Baozhong Li Xiao Li

    发明人: Baozhong Li Xiao Li

    摘要: A self-mechanical-cleaning toilet system with water-splash cleaning options provides a more sanitary and comfortable bathroom experience with minimum water usage. The system includes a receiving trough, a removal scraper, a guide bar, a back door, a first translation mechanism, a second translation mechanism, and a controller. The receiving trough collects the excrement, while the removal scraper moves the excrement out. The guide bar controls the movement of the removal scraper along the receiving trough. The back door separates the receiving trough from an excrement storage compartment/sewer system. The first translation mechanism moves the removal scraper, while the second translation mechanism moves the back door as necessary. The controller monitors and controls the cycles of the operation of the first translation mechanism and the second translation mechanism. The water-splash cleaning options dispense specified amounts of fluids for cleaning and sanitation purposes. The system also includes means to eliminate unpleasant odors instantly.

    Database table comparison
    53.
    发明授权

    公开(公告)号:US09600513B2

    公开(公告)日:2017-03-21

    申请号:US13156629

    申请日:2011-06-09

    IPC分类号: G06F7/00 G06F17/30

    CPC分类号: G06F17/30371

    摘要: Techniques are disclosed for comparing database tables. In one embodiment, the database tables are partitioned. Queries are generated for retrieving each partition. For each generated query, a stored procedure is invoked, using the respective generated query as an input parameter to the stored procedure. The stored procedure is configured to generate a checksum based on the partition retrieved from executing the respective query. The application compares the generated checksums to determine if the partitions and/or tables are consistent.

    User-driven index selection
    59.
    发明授权
    User-driven index selection 有权
    用户驱动的索引选择

    公开(公告)号:US08682811B2

    公开(公告)日:2014-03-25

    申请号:US12650285

    申请日:2009-12-30

    IPC分类号: G06F15/18

    CPC分类号: G06F17/30887

    摘要: Techniques for index building are described. Clickcounts of respective training URLs may indicate a number of times that corresponding training URLs were clicked in search engine results. A machine learning algorithm implemented on a computer computes a trained model that is then stored. The clickcounts and respective URLs are passed to the machine learning algorithm to train the model to predict probabilities based on feature vectors of URLs. An index of web pages is built for a set of URLs that identify the web pages. Feature vectors for the URLs are computed. Probabilities of the web pages of the URLs being searched in the future by users may be computed by processing the feature vectors with the trained model. The probabilities may be used to determine which of the URLs to include in the index.

    摘要翻译: 描述了索引建立的技术。 相应培训URL的点击次数可以指示在搜索引擎结果中点击相应的培训URL的次数。 在计算机上实现的机器学习算法计算然后存储的训练模型。 点击次数和相应的URL被传递到机器学习算法,以基于URL的特征向量来训练模型来预测概率。 网页索引是为一组识别网页的网址而构建的。 计算URL的特征向量。 可能由用户将来搜索的URL的网页的概率通过用训练模型处理特征向量来计算。 概率可用于确定要包括在索引中的URL。

    "> DEEP VEIN THROMBOSIS (
    60.
    发明申请
    DEEP VEIN THROMBOSIS ("DVT") AND THERMAL/COMPRESSION THERAPY SYSTEMS, APPARATUSES AND METHODS 有权
    深静脉血栓形成(“DVT”)和热/压缩治疗系统,装置和方法

    公开(公告)号:US20130245519A1

    公开(公告)日:2013-09-19

    申请号:US13419022

    申请日:2012-03-13

    IPC分类号: A61H7/00

    摘要: A pressure therapy system includes an air pump; a pneumatic line pressurized by the air pump; and a cuff in fluid communication with the pneumatic line, the cuff including flaps sized and shaped to extend around a user's limb, a first chamber and a second chamber separated fluidly by the cuff from the first chamber, wherein the pneumatic line splits into first and second line segments or openings, the first line segment or opening communicating fluidly with the first separated chamber, the second line segment or opening communicating fluidly with the second separated chamber, and wherein the second line segment or opening or a pathway of the cuff leading to the second separated chamber includes a flow restricting structure that delays pressurized air from reaching the second chamber relative to the first chamber.

    摘要翻译: 压力治疗系统包括气泵; 由气泵加压的气动管路; 以及与所述气动管线流体连通的袖带,所述袖带包括尺寸和形状以围绕使用者肢体延伸的瓣片,由所述袖带与所述第一腔室流体隔开的第一腔室和第二腔室,其中所述气动管线分裂成第一腔室, 第二线段或开口,第一线段或开口与第一分离室流体连通,第二线段或开口与第二分离室流体连通,并且其中第二线段或开口或袖带的通路通向 第二分离室包括流动限制结构,其延迟加压空气相对于第一室到达第二室。