Abstract: Methods, systems, and apparatuses are described for collection and analysis of mobile device data. A geo-profile may be determined based on the mobile device data and utilized to determine associations of the mobile device.

Abstract: Methods, systems, and apparatuses are described for collection and analysis of mobile device data. A geo-profile may be determined based on the mobile device data and utilized to determine associations of the mobile device.

Abstract: In various embodiments, crowd sourcing techniques are provided to enable RTT-based positioning of UE. To address issues of discovering which beacons (e.g., Wi-Fi APs, cellular base stations, BLE transmitters, etc.) support measurement of RTT (e.g., according to IEEE 802.11mc, 3GPP Release 16, etc.), beacon RTT capabilities may be crowd-sourced from UE and maintained by a cloud-based location platform in a beacon database (or more specifically, a RTT database portion thereof). To address the issue of determining physical antenna positions, RTT measurements may be crowd-sourced from UE for those beacons that are RTT capable, and used by a trilateration algorithm (e.g., a WLS multilateration algorithm) to determine physical antenna positions, which also may be maintained in the beacon database. Accuracy of the trilateration may be enhanced by obtaining raw GNSS measurements (e.g., psuedoranges) from the UE, and performing a cloud-based RTK GNSS position fix for the UE.

Abstract: In various embodiments, crowd sourcing techniques are provided to enable RTT-based positioning of UE. To address issues of discovering which beacons (e.g., Wi-Fi APs, cellular base stations, BLE transmitters, etc.) support measurement of RTT (e.g., according to IEEE 802.11mc, 3GPP Release 16, etc.), beacon RTT capabilities may be crowd-sourced from UE and maintained by a cloud-based location platform in a beacon database (or more specifically, a RTT database portion thereof). To address the issue of determining physical antenna positions, RTT measurements may be crowd-sourced from UE for those beacons that are RTT capable, and used by a trilateration algorithm (e.g., a WLS multilateration algorithm) to determine physical antenna positions, which also may be maintained in the beacon database. Accuracy of the trilateration may be enhanced by obtaining raw GNSS measurements (e.g., psuedoranges) from the UE, and performing a cloud-based RTK GNSS position fix for the UE.

Abstract: Collection and analysis of network transaction information which includes the mobile device's usage, location, and movements coupled with data from non-wireless network sources allow for the automation of analysis for the detection of smuggling or other criminal behaviors and tasking of high-accuracy location surveillance.

Abstract: Collection and analysis of network transaction information which includes the mobile device's usage, location, movements coupled with data from non-wireless network sources allow for the automation of analysis for the detection of smuggling or other criminal behaviors and tasking of high-accuracy location surveillance.

Abstract: Collection and analysis of network transaction information which includes the mobile device's usage, location, movements coupled with data from non-wireless network sources allow for the automation of analysis for the detection of smuggling or other criminal behaviors and tasking of high-accuracy location surveillance.

Abstract: Collection and analysis of network transaction information which includes the mobile device's usage, location, movements coupled with data from non-wireless network sources allow for the automation of analysis for the detection of smuggling or other criminal behaviors and tasking of high-accuracy location surveillance.

Abstract: Collection and analysis of network transaction information which includes the mobile device's usage, location, movements coupled with data from non-wireless network sources allow for the automation of analysis for the detection of smuggling or other criminal behaviors and tasking of high-accuracy location surveillance.

Abstract: A system, device and method for detecting an audible alarm are provided. In one embodiment, the method may include the steps of receiving an audio input, determining that the audio input has at least a threshold magnitude, determining that the audio input includes one or more a target frequencies, determining that the audio input is received for a minimum duration; and wirelessly transmitting a first notification. The transmission may be received at a second device that may transmit an alert notification to a remote device, which may be, for example, the user or remote emergency system.

Abstract: A security network for use in a building with an opening to be monitored for possible intrusion. The network includes an intrusion sensor monitoring the opening; an RFID transponder associated with the sensor; an RFID reader in wireless communication with the transponder; and a portable telephone handset having first keys activating conventional telephone capability and second keys activating interaction with the other security network components. The handset wirelessly communicates with the reader. The reader may take the form of a security cradle for the handset. Alternatively, the reader may take the form of a telephone console. The console has keys enabling a user to dial remote telephone numbers; circuitry adapted to receive wireless communications from the transponder; circuitry in wireless communication with the handset; circuitry in communication with an external network; and a processor executing program code enabling the handset to communicate with the external network via the telephone console.