Abstract:
Described is a technology by which GPS-capable devices work with a cloud service to receive satellite visibility-related data. The satellite visibility-related data may be used to determine a location, and/or to abort a search for satellites. The cloud service may use crowd data from other GPS-capable devices. In one aspect, line-of-sight satellites are differentiated from other satellites, and used to determine which satellite signals are more trustworthy. Reflected signals also may be determined.
Abstract:
The description relates to mobile device location. One example can identify global navigation satellite system (GNSS) satellites expected to be in line-of-sight of a mobile device. This example can detect differences between received GNSS data signals and expected GNSS data signals from the expected GNSS satellites. The example can also determine a direction from the mobile device of an obstruction that is causing at least some of the detected differences.
Abstract:
The subject disclosure is directed towards energy saving mechanisms of image sensor circuitry (e.g., in a camera). Image quality data, such as provided by an application, is processed to make energy consumption of image sensor circuitry more proportional to output image quality by controlling the operation of one or more controllable power saving mechanisms of the image sensor circuitry. Power saving mechanisms may include a frequency controlled clock, the ability to turn off unneeded components, an inter-frame standby mode that puts the image sensor circuitry into a standby mode between capturing sequential frames, selectable parallel analog chains having different energy usage properties and column circuitry that allows turning off circuitry corresponding to unneeded columns of the sensor array.
Abstract:
An environment is described in which a processing system provides application-level usage information to users. In one scenario, for example, the processing system may provide personal usage information to a user who is operating a user device. The personal usage information itemizes the amount of data (and/or other resources) that has been consumed by each application run by the user device. In another scenario, the processing system may provide expected usage information associated with at least one candidate application provided by a marketplace system. The expected usage information describes an expected consumption of data (and/or other resources) by the candidate application upon running the candidate application by the user device. The processing system can tailor the expected usage information that it sends to a particular user based on user profile data. The user profile data describes a manner in which users operate applications.