Abstract: Systems and methods for detecting an attitude of a device are disclosed. The system includes a processing system including at least a sensor processor and an application processor, which are distinct. The system further includes a memory system including one or more computer-readable media. The computer-readable media contains instructions that, if executed by the processing system, cause the system to perform operations. The operations include executing an application using the application processor, and receiving raw sensor readings from one or more sensors, using the sensor processor. The operations also include determining, using the sensor processor, a processed sensor metric comprising attitude data, and transmitting the processed sensor metric to the application.

Abstract: A method for providing user information to a CGN device, includes: receiving, by the RADIUS server, accounting start request information of a user sent by the BRAS device, where the accounting start request information carries user information of the user, and the user information includes: a user identity and management information of the user; and sending, by the RADIUS server, the user information to a CGN device, so that the CGN device is capable of performing network management on the user according to the user information.

Abstract: Techniques are described for obtaining high-resolution physical locations for a wireless device by leveraging the high-resolution physical location capabilities of wireless peers of the wireless device to provide a peer-to-peer location service and facilitate location targeting. Wireless devices provide location updates to a computing cloud, which stores records associating wireless device identifiers with received location information for the corresponding wireless devices. A wireless device issues a peer discovery request to dynamically identify nearby wireless peers in its network. The wireless device then sends wireless device identifiers for the nearby wireless peers in a location request to the computing cloud, which estimates a location for the wireless device using the previously recorded location information for the nearby wireless peers. The computing cloud returns the estimated location to the requesting wireless device.

Abstract: Techniques are described for obtaining high-resolution physical locations for a wireless device by leveraging the high-resolution physical location capabilities of wireless peers of the wireless device to provide a peer-to-peer location service and facilitate location targeting. Wireless devices provide location updates to a computing cloud, which stores records associating wireless device identifiers with received location information for the corresponding wireless devices. A wireless device issues a peer discovery request to dynamically identify nearby wireless peers in its network. The wireless device then sends wireless device identifiers for the nearby wireless peers in a location request to the computing cloud, which estimates a location for the wireless device using the previously recorded location information for the nearby wireless peers. The computing cloud returns the estimated location to the requesting wireless device.

Abstract: The present application describes a computer-implemented method and system for obtaining position information for a moving mobile device with increased accuracy and reduced power consumption. The subject of the present application combines information from a GPS location sensor with information from MEMS devices such as an acceleration detector and a gyroscope using statistical analysis techniques such as a Kalman filter to estimate the location of the device with greater accuracy while using numerical methods such as the Newton-Raphson Method to minimize power consumption. Minimizing power consumption is possible because GPS signals sampled at a lower rate can conserve power, while GPS sampled at a lower rate and working together with MEMS devices can achieve the same level of location prediction accuracy as a GPS alone sampled at a higher rate.

Abstract: The present application describes a computer-implemented method and system for obtaining position information for a moving mobile device with increased accuracy and reduced power consumption. The subject of the present application combines information from a GPS location sensor with information from MEMS devices such as an acceleration detector and a gyroscope using statistical analysis techniques such as a Kalman filter to estimate the location of the device with greater accuracy while using numerical methods such as the Newton-Raphson Method to minimize power consumption. Minimizing power consumption is possible because GPS signals sampled at a lower rate can conserve power, while GPS sampled at a lower rate and working together with MEMS devices can achieve the same level of location prediction accuracy as a GPS alone sampled at a higher rate.

Abstract: Techniques are described for obtaining high-resolution physical locations for a wireless device by leveraging the high-resolution physical location capabilities of wireless peers of the wireless device to provide a peer-to-peer location service and facilitate location targeting. Wireless devices provide location updates to a computing cloud, which stores records associating wireless device identifiers with received location information for the corresponding wireless devices. A wireless device issues a peer discovery request to dynamically identify nearby wireless peers in its network. The wireless device then sends wireless device identifiers for the nearby wireless peers in a location request to the computing cloud, which estimates a location for the wireless device using the previously recorded location information for the nearby wireless peers. The computing cloud returns the estimated location to the requesting wireless device.

Abstract: Techniques are described for obtaining high-resolution physical locations for a wireless device by leveraging the high-resolution physical location capabilities of wireless peers of the wireless device to provide a peer-to-peer location service and facilitate location targeting. Wireless devices provide location updates to a computing cloud, which stores records associating wireless device identifiers with received location information for the corresponding wireless devices. A wireless device issues a peer discovery request to dynamically identify nearby wireless peers in its network. The wireless device then sends wireless device identifiers for the nearby wireless peers in a location request to the computing cloud, which estimates a location for the wireless device using the previously recorded location information for the nearby wireless peers. The computing cloud returns the estimated location to the requesting wireless device.

Abstract: Techniques are described for obtaining high-resolution physical locations for a wireless device by leveraging the high-resolution physical location capabilities of wireless peers of the wireless device to provide a peer-to-peer location service and facilitate location targeting. Wireless devices provide location updates to a computing cloud, which stores records associating wireless device identifiers with received location information for the corresponding wireless devices. A wireless device issues a peer discovery request to dynamically identify nearby wireless peers in its network. The wireless device then sends wireless device identifiers for the nearby wireless peers in a location request to the computing cloud, which estimates a location for the wireless device using the previously recorded location information for the nearby wireless peers. The computing cloud returns the estimated location to the requesting wireless device.

Abstract: A method and system for performing edge to edge pseudo wire emulation of the bundling interface in telecommunication field. The method includes: assigning the sub-channel number for the established member bundling interface and negotiating the bundling parameter; forwarding the user message through the aforementioned established bundling interface; and sending the message to the corresponding member interface based on the sub-channel number.

Abstract: A method and system for performing edge to edge pseudo wire emulation of the bundling interface in telecommunication field. The method includes: assigning the sub-channel number for the established member bundling interface and negotiating the bundling parameter; forwarding the user message through the aforementioned established bundling interface; and sending the message to the corresponding member interface based on the sub-channel number.