Abstract: An exemplary virtual boundary system determines a refined geolocation of a tracking device based on a positioning signal and a correction signal that are accessed from distinct signal sources. The virtual boundary system compares the refined geolocation of the tracking device and a geographic boundary. Then, based on the comparing of the refined geolocation and the geographic boundary, the virtual boundary system provides an alert indicative of the refined geolocation with respect to the geographic boundary. Corresponding methods and systems are also disclosed.

Abstract: An exemplary virtual boundary system determines a refined geolocation of a tracking device based on a positioning signal and a correction signal that are accessed from distinct signal sources. The virtual boundary system compares the refined geolocation of the tracking device and a geographic boundary. Then, based on the comparing of the refined geolocation and the geographic boundary, the virtual boundary system provides an alert indicative of the refined geolocation with respect to the geographic boundary. Corresponding methods and systems are also disclosed.

Abstract: An exemplary virtual boundary system accesses a positioning signal generated by a positioning system. A geolocation for a real-time tracking device is derivable from the positioning signal within a first margin of error. The virtual boundary system also accesses a correction signal generated by a positioning enhancement system and corresponding to the positioning signal generated by the positioning system. Based on the positioning signal and the correction signal, the virtual boundary system determines a refined geolocation of the real-time tracking device relative to a user-specified geographic boundary. The refined geolocation is accurate within a second margin of error that is less than the first margin of error. Corresponding methods and systems are also disclosed.

Abstract: An exemplary virtual boundary system accesses a positioning signal generated by a positioning system. A geolocation for a real-time tracking device is derivable from the positioning signal within a first margin of error. The virtual boundary system also accesses a correction signal generated by a positioning enhancement system and corresponding to the positioning signal generated by the positioning system. Based on the positioning signal and the correction signal, the virtual boundary system determines a refined geolocation of the real-time tracking device relative to a user-specified geographic boundary. The refined geolocation is accurate within a second margin of error that is less than the first margin of error. Corresponding methods and systems are also disclosed.

Abstract: An exemplary dynamic virtual boundary system accesses a positioning signal, a corresponding correction signal, and data defining a user-specified geographic boundary configured to change in real time. The positioning signal is generated by a satellite within a satellite-based positioning system and is received by a real-time tracking device carried by a subject. The correction signal is generated by a terrestrial positioning enhancement system and is also received by the device. Based on the positioning and correction signals, the dynamic virtual boundary system continuously determines a refined geolocation of the device and continuously monitors whether the refined geolocation is within a predetermined distance of the boundary as the boundary changes in real time.

Abstract: An exemplary dynamic virtual boundary system accesses a positioning signal, a corresponding correction signal, and data defining a user-specified geographic boundary configured to change in real time. The positioning signal is generated by a satellite within a satellite-based positioning system and is received by a real-time tracking device carried by a subject. The correction signal is generated by a terrestrial positioning enhancement system and is also received by the device. Based on the positioning and correction signals, the dynamic virtual boundary system continuously determines a refined geolocation of the device and continuously monitors whether the refined geolocation is within a predetermined distance of the boundary as the boundary changes in real time.

Abstract: According to some implementations, a device can include one or more processors to obtain a characteristic of a first application; obtain a setting of a software development kit (SDK) of the first application; obtain activation information from an SDK of a second application, the activation information including a characteristic of the second application and a setting of the SDK of the second application; compare the activation information to the characteristic of the first application and the setting of the SDK; and/or perform an action associated with the SDK of the first application based on comparing the activation information to the characteristic of the first application and the setting of the SDK.

Abstract: According to some implementations, a device can include one or more processors to obtain a characteristic of a first application; obtain a setting of a software development kit (SDK) of the first application; obtain activation information from an SDK of a second application, the activation information including a characteristic of the second application and a setting of the SDK of the second application; compare the activation information to the characteristic of the first application and the setting of the SDK; and/or perform an action associated with the SDK of the first application based on comparing the activation information to the characteristic of the first application and the setting of the SDK.