Injection mold
    31.
    发明授权
    Injection mold 失效
    注塑模具

    公开(公告)号:US08465271B2

    公开(公告)日:2013-06-18

    申请号:US13018395

    申请日:2011-01-31

    IPC分类号: B29C45/14

    摘要: An injection mold for molding a product including an insert element, which includes a plurality of terminals each having a contacting portion, includes a male mold and a female mold movably engaged with the male mold. The male mold includes a male platen for fixing a fastening element therein. The fastening element defines a plurality of fastening grooves for fastening the contacting portions in a first male groove opened on the male platen. The male mold further includes a supporting element cooperating with the male platen to fixing a locating mold core in the male platen. A top end of the locating mold core projects into the first male groove and further defines a locating groove for fastening one contacting portion adjacent to a male sprue which is opened on the male platen and connected with the first male groove via a second male groove of the male platen.

    摘要翻译: 一种用于模制包括插入元件的产品的注塑模具,其包括多个具有接触部分的端子,所述插入元件包括阳模和与所述阳模移动地接合的阴模。 阳模包括用于将紧固元件固定在其中的阳台板。 紧固元件限定多个紧固槽,用于将接触部分紧固在在阳台板上打开的第一阳沟中。 阳模还包括与阳压板配合的支撑元件,以将定位模芯固定在阳压板中。 定位模芯的顶端突出到第一阳凹槽中,并且进一步限定一个定位槽,用于紧固一个接触部分,该接触部分邻近阳性浇道,该阳性浇口在阳压板上打开,并通过第二阳沟槽 男性压板。

    Hosting predictive models
    32.
    发明授权
    Hosting predictive models 有权
    托管预测模型

    公开(公告)号:US08364613B1

    公开(公告)日:2013-01-29

    申请号:US13246596

    申请日:2011-09-27

    IPC分类号: G06F15/18 G06N3/00

    CPC分类号: G06N7/005

    摘要: Methods include the actions of storing a first predictive model in computer-readable memory, the first predictive model having been defined based on a first training dataset provided by an owner of the first predictive model and being operable to generate an output based on a query, enabling access to the first predictive model based on permissions defined by the owner, while inhibiting access to the first training dataset, receiving a second training dataset from a user, the second training dataset being distinct from the first training dataset, modifying the first predictive model based on the second training dataset to provide a second predictive model, storing the second predictive model in computer-readable memory, and enabling access to the second predictive model.

    摘要翻译: 方法包括将第一预测模型存储在计算机可读存储器中的动作,第一预测模型已经基于由第一预测模型的所有者提供的第一训练数据集定义,并且可操作以基于查询生成输出, 基于由所有者定义的权限来访问第一预测模型,同时禁止对第一训练数据集的访问,从用户接收第二训练数据集,第二训练数据集与第一训练数据集不同,修改第一预测模型 基于所述第二训练数据集来提供第二预测模型,将所述第二预测模型存储在计算机可读存储器中,以及使得能够访问所述第二预测模型。

    Predictive analytical model matching
    33.
    发明授权
    Predictive analytical model matching 有权
    预测分析模型匹配

    公开(公告)号:US08311967B1

    公开(公告)日:2012-11-13

    申请号:US13246229

    申请日:2011-09-27

    IPC分类号: G06F15/00 G06F15/18

    CPC分类号: G06N99/005

    摘要: Methods, systems, and apparatus, for selecting a trained predictive models. A request is received from a client-subscriber computing system for access to a trained predictive model that can generate a predictive output in response to receiving input data having one or more input types. Information that describes each of the trained predictive models in a predictive model repository can be used to determine that one or more models included in the repository match the request. Determining a match can be based (at least in part) on a comparison of the one or more input types to input types included in the information that describes the trained predictive models. Access is provided to at least one of the models to the client-subscriber computing system. The models that match the request are models that were trained using training data provided by a computing system other than the client-subscriber computing system.

    摘要翻译: 用于选择训练有素的预测模型的方法,系统和装置。 从客户端 - 用户计算系统接收到用于访问经过训练的预测模型的请求,该预测模型可以响应于接收到具有一个或多个输入类型的输入数据而产生预测输出。 描述预测模型存储库中每个经过训练的预测模型的信息可用于确定包含在存储库中的一个或多个模型与请求匹配。 可以基于(至少部分地)将一个或多个输入类型与描述训练的预测模型的信息中包括的输入类型进行比较来确定匹配。 向客户端 - 用户计算系统提供至少一个模型的访问。 与请求相匹配的模型是使用除了客户端 - 用户计算系统之外的计算系统提供的训练数据训练的模型。

    MOLD
    34.
    发明申请
    MOLD 审中-公开
    模子

    公开(公告)号:US20120027881A1

    公开(公告)日:2012-02-02

    申请号:US12848963

    申请日:2010-08-02

    IPC分类号: B29C33/44

    摘要: A mold includes upper and lower mold members and a machine control unit. The lower mold member includes a support board, a molding mechanism mounted on the support board, and an ejection mechanism. The support board forms a receiving compartment. The molding mechanism includes a mold cavity. The machine control unit is mounted in the receiving compartment of the support board and includes an optic sensor. With the arrangement of the optic sensor of the machine control unit, the mold can detect the returned and non-returned statuses of the ejection mechanism and transmits the result of detection to the molding machine of the mold, whereby the molding machine can be timely and correctly informed of the status of the ejection mechanism for correctly issuing a subsequent operation instruction. In this way, the potential risk that the mold is damaged by improper operation of the molding machine can be eliminated.

    摘要翻译: 模具包括上下模具构件和机器控制单元。 下模具构件包括支撑板,安装在支撑板上的模制机构和排出机构。 支撑板形成接收室。 模制机构包括模腔。 机器控制单元安装在支撑板的接收室中并且包括光学传感器。 通过机器控制单元的光学传感器的布置,模具可以检测弹出机构的返回和不返回状态,并将检测结果传递到模具的成型机,从而可以及时地和成型机 正确地通知用于正确发出后续操作指令的弹出机构的状态。 以这种方式,可以消除模具由于成型机的不当操作而损坏的潜在风险。

    METHOD AND SYSTEM FOR PROVIDING A GRAPHICAL WORKFLOW MONITOR
    35.
    发明申请
    METHOD AND SYSTEM FOR PROVIDING A GRAPHICAL WORKFLOW MONITOR 有权
    提供图形工作流监视器的方法和系统

    公开(公告)号:US20080243902A1

    公开(公告)日:2008-10-02

    申请号:US11695412

    申请日:2007-04-02

    IPC分类号: G06F17/30 G06F17/00

    CPC分类号: G06Q10/06

    摘要: A browser based workflow monitor uses a graphical user interface (GUI) to display workflow status information and to create log information. The monitor presents the log information to a user in a format that is easily understood. Workflow information is accessed from a user workstation via a data network and displayed within a browser application.

    摘要翻译: 基于浏览器的工作流监视器使用图形用户界面(GUI)来显示工作流状态信息并创建日志信息。 监视器以易于理解的格式向用户显示日志信息。 通过数据网络从用户工作站访问工作流信息,并在浏览器应用程序中显示。

    Method and system for providing network based transaction metrics
    36.
    发明授权
    Method and system for providing network based transaction metrics 有权
    提供基于网络的事务度量的方法和系统

    公开(公告)号:US09031903B2

    公开(公告)日:2015-05-12

    申请号:US11496090

    申请日:2006-07-31

    IPC分类号: G06F7/00 G06Q30/02

    CPC分类号: G06Q30/02

    摘要: An approach is provided for metrics data collection for business transactions. An online activity (e.g., Application Programming Interface (API) call) associated with a business flow is identified. It is determined whether the online activity is a part of a transaction, wherein the transaction is defined according to a business rule. Status of the transaction is updated if the online activity is a part of the transaction.

    摘要翻译: 为业务交易的度量数据收集提供了一种方法。 识别与业务流相关联的在线活动(例如,应用程序编程接口(API)调用)。 确定在线活动是否是交易的一部分,其中根据业务规则定义交易。 如果在线活动是交易的一部分,交易的状态将被更新。

    Process abstraction and tracking, systems and methods
    37.
    发明授权
    Process abstraction and tracking, systems and methods 失效
    流程抽象和跟踪,系统和方法

    公开(公告)号:US08752030B1

    公开(公告)日:2014-06-10

    申请号:US11371234

    申请日:2006-03-09

    IPC分类号: G06F9/44 G06Q10/00

    CPC分类号: G06Q10/0633

    摘要: The present invention is an abstraction layer that “hides” the complexity of underlying workflow engine and provides a unified application programming interface (API) to access underlying workflow functions. The abstraction layer of the present invention serves as a gateway between application flow logic and one or more workflow engines and allows an application to build flow implementation logic once and then be able to run on various workflow engines without significant code changes. The present invention also enables different workflow engines to run concurrently to support one application and without the need for applications to migrate or consolidate to one workflow engine.

    摘要翻译: 本发明是“隐藏”底层工作流引擎的复杂性并提供统一的应用编程接口(API)以访问底层工作流功能的抽象层。 本发明的抽象层用作应用程序流逻辑和一个或多个工作流引擎之间的网关,并允许应用程序构建一个流程实现逻辑,然后能够在各种工作流引擎上运行,而不会有重大的代码更改。 本发明还使不同的工作流引擎同时运行以支持一个应用,而不需要将应用程序迁移或整合到一个工作流引擎。

    Multi-label modeling using a plurality of classifiers
    38.
    发明授权
    Multi-label modeling using a plurality of classifiers 有权
    使用多个分类器进行多标签建模

    公开(公告)号:US08706656B1

    公开(公告)日:2014-04-22

    申请号:US13218623

    申请日:2011-08-26

    IPC分类号: G06F15/18 G06F17/00 G06N99/00

    CPC分类号: G06N99/005

    摘要: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for multi-label models. One of the methods includes receiving training records, each training record having an input, a first output, and a second output. The method includes generating a first classifier using as input one of the inputs and using as output a corresponding one of the first outputs. The method includes generating a second classifier using as input one of the inputs and using as output a corresponding one of the second outputs. The method includes inputting the inputs into the first classifier and generating first predictive outputs. The method includes inputting the inputs into the second classifier and generating second predictive outputs. The method also includes generating a third classifier using as input the first output and the second output and using as output the first output and the second output of the corresponding training record.

    摘要翻译: 方法,系统和装置,包括在计算机存储介质上编码的计算机程序,用于多标签模型。 方法之一包括接收训练记录,每个训练记录具有输入,第一输出和第二输出。 该方法包括使用输入中的一个输入并使用第一输出中相应的一个作为输出来产生第一分类器。 该方法包括使用输入中的一个输入并使用第二输出中相应的一个作为输出来生成第二分类器。 该方法包括将输入输入到第一分类器并产生第一预测输出。 该方法包括将输入输入到第二分类器并产生第二预测输出。 该方法还包括使用第一输出和第二输出作为输入产生第三分类器,并且使用相应训练记录的第一输出和第二输出作为输出。

    Suggesting training examples
    40.
    发明授权
    Suggesting training examples 有权
    建议培训实例

    公开(公告)号:US08244651B1

    公开(公告)日:2012-08-14

    申请号:US13245688

    申请日:2011-09-26

    IPC分类号: G06F15/18

    CPC分类号: G06N99/005 G06K9/6256

    摘要: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for suggesting training examples. In one aspect, a method includes receiving a plurality of training examples. A plurality of different types of predictive models are trained using the received training examples, wherein each of the predictive models implements a different machine learning technique. The performance of each trained model is measured. A suggestion score is computed for each training example according to each respective trained model, including weighting each suggestion score by the measured performance of the respective trained model. The computed suggestion scores for each training example are combined to compute an overall suggestion score for each training example, and the training examples are ranked by suggestion scores.

    摘要翻译: 方法,系统和装置,包括在计算机存储介质上编码的计算机程序,用于建议训练示例。 一方面,一种方法包括接收多个训练示例。 使用所接收的训练示例来训练多种不同类型的预测模型,其中每个预测模型实现不同的机器学习技术。 测量每个训练模型的性能。 根据每个相应的训练模型,针对每个训练示例计算建议得分,包括通过相应训练模型的测量性能对每个建议得分加权。 将每个训练样本的计算建议得分合并计算每个训练样本的总体建议得分,并通过建议得分对训练样本进行排名。