Abstract: A device may receive simulation information associated with iteratively simulating movement of a geolocation unit. The device may generate simulated true paths for simulations of the movement of the geolocation unit. The device may configure, based on the simulation information, noise parameters associated with simulating distortion of a signal received by the geolocation unit during the simulations to generate simulated measured paths. The device may execute the simulations to correspondingly generate sets of simulation data, training, using the sets of simulation data, a geolocation correction model based on differences between true location data of the simulated true paths and simulated measured data of the simulated measured paths. The device may configure the geolocation correction model to process a geolocation signal of an active geolocation unit to determine a location of the active geolocation unit based on the differences between the true location data and the simulated measured data.

Abstract: One or more computing devices, systems, and/or methods for elevation tracking of devices are provided. Barometric pressure data points and elevation data points associated with a set of barometric measurement devices proximate a device are obtained. An interpolated field of barometric pressure is generated using the barometric pressure data points and the elevation data points. x, y location coordinates of the device are projected onto the interpolated field as a projected point within the interpolated field. Barometric leveling is executed upon a device barometric pressure value provided by the device and a barometric pressure data point at the projected point to determine a relative height difference between the device and the projected point. An elevation of the device is determined based upon the relative height difference.

Abstract: A device may include a processor configured to select a plurality of customers; select a plurality of network assets; and generate a Hamiltonian function representation of optimizing the plurality of network assets with respect to the plurality of customers. The processor may be further configured to determine a global minimum for the Hamiltonian function representation using a quantum annealer; select a distribution of the plurality of network assets based on the determined global minimum of the Hamiltonian function representation; and apply the selected distribution of the plurality of network assets to improve network performance.

Abstract: One or more computing devices, systems, and/or methods for synthetic data point generation are provided. In an example, error bounds for generating synthetic data points from a set of data points collected from mobile devices may be determined. Paths associated with groups of data points of the set of data points may be determined. Error bounds may be applied to limit the paths to generate limited path data. Synthetic data points may be generated based upon the limited path data.

Abstract: One or more computing devices, systems, and/or methods for calibrating barometric sensors and/or determining altitudes of devices are provided. In an example, one or more barometric pressure measures are determined using a barometric sensor of a device. One or more locations of the device are determined based upon one or more global navigation satellite system (GNSS) signals and one or more corrective signals associated with the one or more GNSS signals. One or more reference values are determined based upon the one or more locations. A barometric offset is determined based upon the one or more barometric pressure measures and the one or more reference values. A first barometric measurement is performed using the barometric sensor to determine a first barometric pressure measure. An adjusted barometric pressure measure and/or an altitude of the device are determined based upon the first barometric pressure measure and the barometric offset.

Abstract: One or more computing devices, systems, and/or methods for calibrating barometric sensors and/or determining altitudes of devices are provided. In an example, a device is determined to be outdoors. In response to determining that the device is outdoors, a calibration process associated with a barometric sensor of the device is performed. The calibration process includes performing one or more barometric measurements using the barometric sensor to determine one or more barometric pressure measures, determining one or more locations of the device, wherein the one or more locations are associated with the one or more barometric measurements, and determining a barometric offset based upon the one or more barometric pressure measures and one or more reference values. An adjusted barometric pressure and/or an altitude of the device is determined based upon a first barometric pressure measure and the barometric offset.

Abstract: One or more computing devices, systems, and/or methods for elevation tracking of devices are provided. Barometric pressure data points and elevation data points associated with a set of barometric measurement devices proximate a device are obtained. An interpolated field of barometric pressure is generated using the barometric pressure data points and the elevation data points. x, y location coordinates of the device are projected onto the interpolated field as a projected point within the interpolated field. Barometric leveling is executed upon a device barometric pressure value provided by the device and a barometric pressure data point at the projected point to determine a relative height difference between the device and the projected point. An elevation of the device is determined based upon the relative height difference.

Abstract: One or more computing devices, systems, and/or methods for detecting spoofing attacks are provided. Location information of a base station may be evaluated to determine a true position of the base station. Satellite signals received by the base station may be processed and evaluated to calculate a real time position of the base station. A distance between the real time position and the true position may be calculated. In response to the distance exceeding a threshold distance, an alert is generated to indicate that the base station is experiencing a spoofing attack.

Abstract: One or more computing devices, systems, and/or methods for generating profiles, such as weather profiles, based upon signals from vehicle devices are provided. In an example, a plurality of vehicle measure signals is received from a plurality of vehicle devices. A first vehicle measure signal of the plurality of vehicle measure signals is received from a first vehicle device, of the plurality of vehicle devices, connected to a first vehicle. The first vehicle measure signal is indicative of a first location of the first vehicle and one or more first vehicle measures determined using one or more first sensors of the first vehicle. A vehicle measure profile associated with a region is generated based upon the plurality of vehicle measure signals. The vehicle measure profile is indicative of one or more second vehicle measures at one or more locations within the region.

Abstract: One or more computing devices, systems, and/or methods for calibrating barometric sensors and/or determining altitudes of devices are provided. In an example, one or more barometric pressure measures are determined using a barometric sensor of a device. One or more locations of the device are determined based upon one or more global navigation satellite system (GNSS) signals and one or more corrective signals associated with the one or more GNSS signals. One or more reference values are determined based upon the one or more locations. A barometric offset is determined based upon the one or more barometric pressure measures and the one or more reference values. A first barometric measurement is performed using the barometric sensor to determine a first barometric pressure measure. An adjusted barometric pressure measure and/or an altitude of the device are determined based upon the first barometric pressure measure and the barometric offset.

Abstract: One or more computing devices, systems, and/or methods for synthetic data point generation are provided. In an example, error bounds for generating synthetic data points from a set of data points collected from mobile devices may be determined. Paths associated with groups of data points of the set of data points may be determined. Error bounds may be applied to limit the paths to generate limited path data. Synthetic data points may be generated based upon the limited path data.

Abstract: One or more computing devices, systems, and/or methods for calibrating barometric sensors and/or determining altitudes of devices are provided. In an example, a device is determined to be outdoors. In response to determining that the device is outdoors, a calibration process associated with a barometric sensor of the device is performed. The calibration process includes performing one or more barometric measurements using the barometric sensor to determine one or more barometric pressure measures, determining one or more locations of the device, wherein the one or more locations are associated with the one or more barometric measurements, and determining a barometric offset based upon the one or more barometric pressure measures and one or more reference values. An adjusted barometric pressure and/or an altitude of the device is determined based upon a first barometric pressure measure and the barometric offset.