Abstract:
Systems and methods for monitoring the number of neighboring wireless devices in a wireless network are described herein. In one aspect, the method includes receiving a message from one of the neighboring wireless devices having an identifier associated with the neighboring wireless device and adding the identifier into a Bloom filter. The method may further include estimating the number of distinct strings that have been added into the Bloom filter based on the number of zeros in the Bloom filter, the number of distinct strings representing an estimate of the number of neighboring wireless devices in the wireless network.
Abstract:
An apparatus and method for a framework exposing an API (application programming interface) to web-based server applications on the internet or in the cloud is presented. The API allows server applications to retrieve sensor data from a mobile device via a low-power sensor core processor on a mobile device. This API eliminates effort and cost associated with developing and promoting a new mobile device client application. The API framework includes APIs that web-based application may use to fetch sensor data from one or more particular sensors on the mobile device.
Abstract:
Methods and apparatus are described herein for performing AND/OR searching using multiple keywords. A query is received at a first node in a network having multiple keywords. The first node determines a set of documents matching a first of the multiple keywords, and computes an ideal Bloom filter representing those keywords. The first node sends the query and the Bloom filter to a second node, which determines its search results for a second of the multiple keywords in accordance with the Bloom filter.
Abstract:
Methods and apparatus for publishing services and performing queries for service in a network are described herein. Service descriptions writing in a native search description language are translated to a normalized schema. The normal schema is published to the network. Queries to the network, which may be written in any native search description language, are also translated to normalized schema prior to performing the search. Accordingly, all services available can be published and located in a query without consideration of the native search description language.
Abstract:
A method of auto-calibrating light sensor data of a mobile device includes, obtaining, by the mobile device, one or more reference parameters representative of light sensor data collected by a reference device. The method also includes collecting, by the mobile device, light sensor data from a light sensor included in the mobile device, itself. One or more sample parameters of the light sensor data obtained from the light sensor included in the mobile device are then calculated. A calibration model is then determined for auto-calibrating the light sensor data of the light sensor included in the mobile device based on the one or more reference parameters and the one or more sample parameters.
Abstract:
A context aware system, for use in a mobile device, includes a context change detector (CCD) coupled to a context classifier (CCL). The CCD is configured to receive sensor data and to detect a change in a current context state of the mobile device based on the received sensor data. The CCL is configured to transition from a low power consumption mode to a normal power consumption mode in response to the CCD detecting the change in the current context state. The CCL is further configured to determine a next context state of the mobile device while in the normal power consumption mode.
Abstract:
Systems, apparatus and methods in a mobile device to enable and disable a depth sensor for tracking pose of the mobile device are presented. A mobile device relaying on a camera without a depth sensor may provide inadequate pose estimates, for example, in low light situations. A mobile device with a depth sensor uses substantial power when the depth sensor is enabled. Embodiments described herein enable a depth sensor only when images are expected to be inadequate, for example, accelerating or moving too fast, when inertial sensor measurements are too noisy, light levels are too low or high, an image is too blurry, or a rate of images is too slow. By only using a depth sensor when images are expected to be inadequate, battery power in the mobile device may be conserved and pose estimations may still be maintained.
Abstract:
Methods, systems, and techniques to enhance computer vision application processing are disclosed. In particular, the methods, systems, and techniques may reduce power consumption for computer vision applications and improve processing efficiency for computer vision applications.