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    • 7. 发明申请
    • DEVICE RESOURCE MANAGEMENT BASED ON CONTEXTUAL PLANNING
    • 基于规划规划的设备资源管理
    • US20140280794A1
    • 2014-09-18
    • US13997770
    • 2013-03-13
    • INTEL CORPORATION
    • Jim S. BacaDavid StanasolovichMark H. Price
    • H04L12/24
    • H04L41/0806G06Q10/1093G06Q30/0255H04L41/0816H04L41/0886H04L67/16H04L67/22H04L67/26H04L67/34H04W4/029H04W4/043H04W4/33
    • Technologies for resource management include a mobile computing device configured to communicate with a resource database server. The mobile computing device determines a future context and sends a request to the server for resource information associated with a location defined by the future context. The server determines resources located at the location and sends the requested resource information to the mobile computing device. The mobile computing device automatically configures itself to use the resources. The mobile computing device may automatically download and configure device drivers for the resources. The resources may include printers, displays, and network connections. The resource information may be provided by third-party resource providers. The resource database server may provide recommendations, including travel information recommendations. The mobile computing device may monitor its current context and enable the resources at the location or notify a user of the availability of the resources.
    • 用于资源管理的技术包括被配置为与资源数据库服务器通信的移动计算设备。 移动计算设备确定将来的上下文,并且向服务器发送与由未来上下文定义的位置相关联的资源信息的请求。 服务器确定位于该位置的资源,并将所请求的资源信息发送到移动计算设备。 移动计算设备自动配置自身以使用资源。 移动计算设备可以自动下载和配置资源的设备驱动程序。 资源可能包括打印机,显示器和网络连接。 资源信息可以由第三方资源提供者提供。 资源数据库服务器可以提供建议,包括旅行信息建议。 移动计算设备可以监视其当前上下文并且使能该位置处的资源或向用户通知资源的可用性。
    • 8. 发明申请
    • Customized Shopping
    • 定制购物
    • US20160140641A1
    • 2016-05-19
    • US14941816
    • 2015-11-16
    • Intel Corporation
    • Jim S. BacaDavid StanasolovichHong LiMark H. Price
    • G06Q30/06G06K9/66
    • G06Q30/0627G06K9/66G06Q30/0601G06Q30/0643
    • An embodiment of the invention includes a network-accessible compute node, which includes a local storage storing reference images. Each reference image can depict one or more preferences, which can include a quality, a feature, a characteristic, an attribute, a type, and/or a form. Each preference can be associated with a distinctive pattern and a preference criterion. An embodiment includes an optimization module. The optimization module can learn the distinctive patterns from the reference images. The optimization module can also access a remote storage storing images of commodities and use pattern recognition to identify, from the remote storage, one or more images of commodities meeting the preference criterion selected by a user. Other embodiments are described and claimed.
    • 本发明的实施例包括网络可访问的计算节点,其包括存储参考图像的本地存储器。 每个参考图像可以描绘一个或多个偏好,其可以包括质量,特征,特征,属性,类型和/或形式。 每个偏好可以与特征模式和偏好标准相关联。 实施例包括优化模块。 优化模块可以从参考图像中学习独特的模式。 优化模块还可以访问存储商品图像的远程存储器并使用模式识别来从远程存储器识别满足用户选择的偏好标准的商品的一个或多个图像。 描述和要求保护其他实施例。