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    • 3. 发明申请
    • ENERGY EFFICIENT CONTINUOUS SENSING FOR COMMUNICATIONS DEVICES
    • 能量有效连续传感通信设备
    • US20120100895A1
    • 2012-04-26
    • US12912456
    • 2010-10-26
    • Nissanka Arachchige Bodhi PriyanthaJie LiuDimitrios Lymperopoulos
    • Nissanka Arachchige Bodhi PriyanthaJie LiuDimitrios Lymperopoulos
    • H04B1/38
    • H04W52/0293G06F1/3293Y02D10/122Y02D70/162Y02D70/164
    • A “Communication Device with Energy Efficient Sensing” provides various techniques for enabling a variety of sensor-based applications and processes while conserving energy on mobile communications devices. More specifically, the Communication Device with Energy Efficient Sensing provides a novel sensing architecture for mobile communications devices where sampling and, in various embodiments, processing, of sensor data received from one or more sensors is offloaded to a dedicated low-power processor having the capability to interact with a primary processor of the communications device. Such sensors include, but are not limited to accelerometers, ambient light sensors, compasses, microphones, pressure sensors, touch sensors, low-power radio devices, etc. This approach enables the communications device to perform continuous sensing with a low power overhead. In various tested embodiments, it has been observed that that the sensing architecture described herein can be two to three orders of magnitude more energy efficient in comparison to conventional communications devices.
    • “具有能量效率感知的通信设备”提供了各种技术,用于实现各种基于传感器的应用和过程,同时节省移动通信设备上的能量。 更具体地,具有能量效率感知的通信设备为移动通信设备提供了新颖的感测架构,其中从一个或多个传感器接收的传感器数据的采样和在各种实施例中处理被卸载到具有能力的专用低功率处理器 以与通信设备的主处理器交互。 这种传感器包括但不限于加速度计,环境光传感器,罗盘,麦克风,压力传感器,触摸传感器,低功率无线电设备等。这种方法使得通信设备能够以低功率开销执行连续感测。 在各种测试的实施例中,已经观察到,与常规通信设备相比,本文所描述的感测架构可以比能量效率高两到三个数量级。
    • 6. 发明授权
    • Energy efficient continuous sensing for communications devices
    • 节能连续感应通信设备
    • US08706172B2
    • 2014-04-22
    • US12912456
    • 2010-10-26
    • Nissanka Arachchige Bodhi PriyanthaJie LiuDimitrios Lymperopoulos
    • Nissanka Arachchige Bodhi PriyanthaJie LiuDimitrios Lymperopoulos
    • H04M1/00G06F1/00
    • H04W52/0293G06F1/3293Y02D10/122Y02D70/162Y02D70/164
    • A “Communication Device with Energy Efficient Sensing” provides various techniques for enabling a variety of sensor-based applications and processes while conserving energy on mobile communications devices. More specifically, the Communication Device with Energy Efficient Sensing provides a novel sensing architecture for mobile communications devices where sampling and, in various embodiments, processing, of sensor data received from one or more sensors is offloaded to a dedicated low-power processor having the capability to interact with a primary processor of the communications device. Such sensors include, but are not limited to accelerometers, ambient light sensors, compasses, microphones, pressure sensors, touch sensors, low-power radio devices, etc. This approach enables the communications device to perform continuous sensing with a low power overhead. In various tested embodiments, it has been observed that that the sensing architecture described herein can be two to three orders of magnitude more energy efficient in comparison to conventional communications devices.
    • “具有能量效率感知的通信设备”提供了各种技术,用于实现各种基于传感器的应用和过程,同时节省移动通信设备上的能量。 更具体地,具有能量效率感知的通信设备为移动通信设备提供了新颖的感测架构,其中从一个或多个传感器接收的传感器数据的采样和在各种实施例中处理被卸载到具有能力的专用低功率处理器 以与通信设备的主处理器交互。 这种传感器包括但不限于加速度计,环境光传感器,罗盘,麦克风,压力传感器,触摸传感器,低功率无线电设备等。这种方法使得通信设备能够以低功率开销执行连续感测。 在各种测试的实施例中,已经观察到,与常规通信设备相比,本文所描述的感测架构可以比能量效率高两到三个数量级。
    • 8. 发明申请
    • COMMUNITY MODEL BASED POINT OF INTEREST LOCAL SEARCH
    • 基于社区模型的兴趣点本地搜索
    • US20110313954A1
    • 2011-12-22
    • US12819080
    • 2010-06-18
    • Feng ZhaoNicholas D. LaneDimitrios LymperopoulosJing Zhao
    • Feng ZhaoNicholas D. LaneDimitrios LymperopoulosJing Zhao
    • G06F17/30G06F15/18
    • G06F16/35G06F16/335G06F16/9535G06F16/9537
    • The present disclosure describes a community model based point of interest local search platform. Specifically, logs of users that store selections while accessing a point of interest application are loaded into a database. The logs are of users that have similar demographic or other community attributes. The logs are then mined for contextual parameters, including, but not limited to time of day, day of week, distance, activity, environment, popularity, and personal preferences. The point of interest selections are then mapped to a multi-dimensional map where each dimension corresponds to a contextual parameter. Clusters are evaluated by a classifier and classes of users of the community are identified. When a user then queries the community model based point of interest local search platform, contextual parameters are submitted with the query, relevant classes identified, and the corresponding point of interest information is displayed to the user.
    • 本公开描述了基于社区模型的兴趣点本地搜索平台。 具体来说,在访问兴趣点应用程序时存储选择的用户的日志被加载到数据库中。 日志是具有类似人口统计或其他社区属性的用户。 然后为日志参数挖掘日志,包括但不限于一天中的时间,星期几,距离,活动,环境,人气和个人喜好。 然后将兴趣点选择映射到多维映射,其中每个维度对应于上下文参数。 集群由分类器评估,并且识别社区的用户类。 当用户随后查询基于社区模型的兴趣点本地搜索平台时,上下文参数与查询一起提交,识别相关类,并将相应的兴趣点信息显示给用户。