Modified mineral-based fillers
    5.
    发明授权

    公开(公告)号:US09943079B2

    公开(公告)日:2018-04-17

    申请号:US12740474

    申请日:2008-10-27

    申请人: Jie Lu

    发明人: Jie Lu

    IPC分类号: A01N25/08 A01N59/16

    CPC分类号: A01N25/08 A01N59/16

    摘要: Modified mineral-based fillers with enhanced retention of at least one active ingredient and/or enhanced antimicrobial capabilities are described. The materials comprise at least one mineral-based filler subjected to at least one modification process, which may be either a cationic modification process, a surface adsorption process, a surface retention process, or a combination thereof, with at least one active ingredient, followed by at least one thermal treatment. The at least one active ingredient may be a metal substance or other biocide, fungicide, mildewcide, antibiotic, insecticide, preservative, or antimicrobial agent. Methods for enhancing the antimicrobial activity of products in applications such as polymers, clothing, surgical equipment, coatings, and paints are also described.

    MULTI-TIERED APPROACH TO E-MAIL PRIORITIZATION
    6.
    发明申请
    MULTI-TIERED APPROACH TO E-MAIL PRIORITIZATION 审中-公开
    电子邮件优先的多层次的方法

    公开(公告)号:US20130339276A1

    公开(公告)日:2013-12-19

    申请号:US13528598

    申请日:2012-06-20

    IPC分类号: G06F15/18

    CPC分类号: G06Q10/107

    摘要: A method of automating incoming message prioritization. The method including training a global classifier of a computer system using training data. Dynamically training a user-specific classifier of the computer system based on a plurality of feedback instances. Inferring a topic of the incoming message received by the computer system based on a topic-based user model. Computing a plurality of contextual features of the incoming message. Determining a priority classification strategy for assigning a priority level to the incoming message based on the computed contextual features of the incoming message and a weighted combination of the global classifier and the user specific classifier. Classifying the incoming message based on the priority classification strategy.

    摘要翻译: 一种自动传入消息优先级的方法。 该方法包括使用训练数据训练计算机系统的全局分类器。 基于多个反馈实例动态训练计算机系统的用户专用分类器。 基于基于主题的用户模型推断计算机系统接收到的传入消息的主题。 计算传入消息的多个上下文特征。 确定用于基于输入消息的计算的上下文特征以及全局分类器和用户特定分类器的加权组合来为入局消息分配优先级的优先级分类策略。 根据优先级分类策略对传入的消息进行分类。

    Method for validating user equipment, a device identity register and an access control system
    7.
    发明授权
    Method for validating user equipment, a device identity register and an access control system 有权
    用于验证用户设备的方法,设备身份寄存器和访问控制系统

    公开(公告)号:US08539607B2

    公开(公告)日:2013-09-17

    申请号:US12991579

    申请日:2008-09-24

    申请人: Jie Lu Lin Zhaoji Hu Jie

    发明人: Jie Lu Lin Zhaoji Hu Jie

    IPC分类号: G06F7/04

    CPC分类号: H04W12/06 H04W8/22 H04W12/08

    摘要: The present invention discloses a method for validating user equipment, a device identity register and an access control system. Wherein the method for validating user equipment comprises: setting a central device identity register shared by different networks, wherein illegal user equipment identities are stored in the central device identity register; the central device identity register receiving an ID validation request from a mobility management entity, wherein the ID validation request carries ID parameters of a user equipment; the central device identity register validating the validity of the user equipment according to the ID parameters, and returning a validation result to the mobility management entity. In virtue of the present invention, the accessing of the illegal non-3GPP network user equipment which is capable of accessing 3GPP network to the 3GPP network is able to be controlled.

    摘要翻译: 本发明公开了一种用于验证用户设备,设备身份寄存器和访问控制系统的方法。 其中用于验证用户设备的方法包括:设置由不同网络共享的中央设备身份寄存器,其中非法用户设备标识存储在中央设备身份寄存器中; 所述中央设备身份寄存器从移动性管理实体接收ID验证请求,其中所述ID验证请求携带用户设备的ID参数; 中央设备身份寄存器根据ID参数验证用户设备的有效性,并将确认结果返回给移动性管理实体。 凭借本发明,能够控制能够访问3GPP网络到3GPP网络的非法非3GPP网络用户设备的访问。

    MULTI-TIERED APPROACH TO E-MAIL PRIORITIZATION
    8.
    发明申请
    MULTI-TIERED APPROACH TO E-MAIL PRIORITIZATION 有权
    电子邮件优先的多层次的方法

    公开(公告)号:US20130212047A1

    公开(公告)日:2013-08-15

    申请号:US13525173

    申请日:2012-06-15

    IPC分类号: G06F15/18

    CPC分类号: G06Q10/107 G06N5/00

    摘要: An apparatus for automating a prioritization of an incoming message, including a batch learning module that generates a global classifier based on training data that is input to the batch learning module. A feedback learning module that generates a user-specific classifier based on a plurality of feedback instances. A feature extraction module that receives the incoming message and a topic-based user model, infers a topic of the incoming message based on the topic-based user model, and computes a plurality of contextual features of the incoming message. A classification module that dynamically determines a priority classification strategy for assigning a priority level to the incoming message based on the plurality of contextual features of the incoming message and a weighted combination of the global classifier and the user-specific classifier, and classifies the incoming message based on the priority classification strategy.

    摘要翻译: 一种用于自动化进入消息的优先级的装置,包括基于输入到批量学习模块的训练数据生成全局分类器的批量学习模块。 反馈学习模块,其基于多个反馈实例生成用户特定的分类器。 一种特征提取模块,其接收所述传入消息和基于主题的用户模型,基于所述基于所述主题的用户模型推断所述传入消息的主题,并且计算所述传入消息的多个上下文特征。 一种分类模块,其基于所述输入消息的所述多个上下文特征以及所述全局分类器和所述用户特定分类器的加权组合来动态地确定用于向所述传入消息分配优先级的优先级分类策略,并且对所述传入消息进行分类 基于优先级分类策略。

    INTELLIGENT CONTENT ASSISTANCE
    10.
    发明申请
    INTELLIGENT CONTENT ASSISTANCE 有权
    智能内容协助

    公开(公告)号:US20090112832A1

    公开(公告)日:2009-04-30

    申请号:US11928810

    申请日:2007-10-30

    IPC分类号: G06F17/30

    CPC分类号: G06Q10/10 G06Q30/02

    摘要: An intelligent content assistance system generates context-sensitive content recommendation during business processes. Information needs of a user in context are dynamically monitored and detected. Content-recommendation templates are retrieved to match the detected information needs, and instantiated using information from user input, context, interaction history, system-learned query and content models, and external sources. Context, interaction history, and system-learned models are dynamically updated for learning and adaptation. The system and methods are applicable to multiple domains and applications.

    摘要翻译: 智能内容帮助系统在业务流程期间生成上下文相关的内容推荐。 动态地监视和检测上下文中用户的信息需求。 检索内容推荐模板以匹配检测到的信息需求,并使用来自用户输入,上下文,交互历史,系统学习查询和内容模型以及外部来源的信息进行实例化。 动态更新语境,交互历史和系统学习模型,用于学习和适应。 系统和方法适用于多个域和应用程序。