Abstract: Aspects of the present disclosure provide techniques for efficient location tracking. Embodiments include receiving a device location from a mobile device. Embodiments include identifying a plurality of region definitions and selecting a set of region definitions from the plurality of region definitions based on a proximity of a location of each region definition of the plurality of region definitions to the device location. Embodiments include generating a provisional region definition based on a location of a region definition of the set of region definitions that is farthest from the device location and including the provisional region definition in the set of region definitions. Embodiments include providing the set of region definitions to the mobile device for provisioning and refraining from requesting device locations from the mobile device until receiving a notification from the mobile device that the mobile device has exited a provisional region defined by the provisional region definition.

Abstract: A method including receiving, at a mobile device, a request to provision a first geofence. The first geofence has a first predicted duration that expires before a second predicted geofence is provisioned by the mobile device. Provisioning the first geofence and the second predicted geofence together consume a first amount of power. The method also includes determining a predictive geofence radius based on a predicted speed of the mobile device. The method also includes provisioning a first predictive geofence having the predictive geofence radius and further having a second predicted duration that is different than the first predicted duration and that expires before a second predictive geofence is provisioned by the mobile device. Provisioning the first predictive geofence and the second predictive geofence together consume a second amount of power, the second amount of power less than the first amount of power.

Abstract: A location system of a mobile device may detect a first location and a second location of the mobile device. A processor of the mobile device may determine that the first location and second location are within a geofence surrounding the location of interest. The processor may determine a speed at which the mobile device traveled from the first location to the second location. The processor may determine that the mobile device is loitering at the location of interest in response to the speed being below a threshold value. In response to determining that the mobile device is loitering at the location of interest, the processor may perform check in processing to check a user of the mobile device as being on site at the location of interest.

Abstract: A transceiver of a mobile device may receive a beacon transmitted by a mesh network member mobile device. A processor of the mobile device may extract a crew ID from the beacon. The processor may determine that the crew ID matches a crew ID of a user logged into the mobile device. In response to determining that the crew ID matches the crew ID of the user, the processor may generate a reply beacon. The transceiver may transmit the reply beacon. The transceiver may receive a response to the reply beacon. The response may include a job ID enabling the user to clock into a job. The processor may clock the user into the job. As a result of clocking the user into the job, the mobile device may become a member of the mesh network.

Abstract: Certain aspects of the present disclosure provide techniques for generating a recommendation of task codes for a user of a task management application. A machine learning model is trained on historical data, which includes task code histories of users and corresponding location data of computing devices the user is accessing. The trained model generates a set of predicted task codes and a respective probability indicating the likelihood a user will select the task code. A subset of task codes are identified, for example, that meet or exceed a probability threshold value. The subset of task codes are included in a recommendation displayed in the application to the user. The selection of a task code by a user not only is included in that user's task code history but is also indicative of feedback for the trained model for further training.

Abstract: A method including receiving, at a mobile device, a request to provision a first geofence. The first geofence has a first predicted duration that expires before a second predicted geofence is provisioned by the mobile device. Provisioning the first geofence and the second predicted geofence together consume a first amount of power. The method also includes determining a predictive geofence radius based on a predicted speed of the mobile device. The method also includes provisioning a first predictive geofence having the predictive geofence radius and further having a second predicted duration that is different than the first predicted duration and that expires before a second predictive geofence is provisioned by the mobile device. Provisioning the first predictive geofence and the second predictive geofence together consume a second amount of power, the second amount of power less than the first amount of power.

Abstract: An embodiment method for managing geographic information includes receiving, at a service portal, executed lease data for mineral rights leases on associated first land parcels, generating first map data according to the executed lease data, and sending the first map data through a network interface to a client application for display to a first user at a first remote terminal. The method further includes receiving, from the first remote terminal, data for a proposed division order boundary, determining one or more of the first land parcels having boundaries that at least partly overlap the proposed division order boundary, generating division order data related to portions of the one or more first land parcels, and sending the division order data to the first remote terminal for display to the user.

Abstract: A method including receiving, at a mobile device, a request to provision a first geofence. Geolocation hardware on the mobile device determines a current position of the mobile device. Roads are identified within a predetermined number of turns of the current position. Corresponding speed limits applicable to the roads within the predetermined number of turns are retrieved. A predicted average speed of the mobile device is determined by averaging the corresponding speed limits A predictive geofence radius is determined based on the predicted average speed. A first predictive geofence having the predictive geofence radius is provisioned. The first predictive geofence has a third predicted duration before a second predictive geofence is provisioned by the mobile device. Provisioning the first predictive geofence and the second predictive geofence together consume less power than provisioning geofences without prediction.

Abstract: Aspects of the present disclosure provide techniques for efficient location tracking. Embodiments include receiving a device location from a mobile device. Embodiments include identifying a plurality of region definitions and selecting a set of region definitions from the plurality of region definitions based on a proximity of a location of each region definition of the plurality of region definitions to the device location. Embodiments include generating a provisional region definition based on a location of a region definition of the set of region definitions that is farthest from the device location and including the provisional region definition in the set of region definitions. Embodiments include providing the set of region definitions to the mobile device for provisioning and refraining from requesting device locations from the mobile device until receiving a notification from the mobile device that the mobile device has exited a provisional region defined by the provisional region definition.

Abstract: Aspects of the present disclosure provide techniques for efficient location tracking. Embodiments include receiving a device location from a mobile device. Embodiments include identifying a plurality of region definitions and selecting a set of region definitions from the plurality of region definitions based on a proximity of a location of each region definition of the plurality of region definitions to the device location. Embodiments include generating a provisional region definition based on a location of a region definition of the set of region definitions that is farthest from the device location and including the provisional region definition in the set of region definitions. Embodiments include providing the set of region definitions to the mobile device for provisioning and refraining from requesting device locations from the mobile device until receiving a notification from the mobile device that the mobile device has exited a provisional region defined by the provisional region definition.

Abstract: A location system of a mobile device may detect a first location and a second location of the mobile device. A processor of the mobile device may determine that the first location and second location are within a geofence surrounding the location of interest. The processor may determine a speed at which the mobile device traveled from the first location to the second location. The processor may determine that the mobile device is loitering at the location of interest in response to the speed being below a threshold value. In response to determining that the mobile device is loitering at the location of interest, the processor may perform check in processing to check a user of the mobile device as being on site at the location of interest.

Abstract: A location system of a mobile device may detect a first location and a second location of the mobile device. A processor of the mobile device may determine that the first location and second location are within a geofence surrounding the location of interest. The processor may determine a speed at which the mobile device traveled from the first location to the second location. The processor may determine that the mobile device is loitering at the location of interest in response to the speed being below a threshold value. In response to determining that the mobile device is loitering at the location of interest, the processor may perform check in processing to check a user of the mobile device as being on site at the location of interest.

Abstract: A transceiver of a mobile device may receive a beacon transmitted by a mesh network member mobile device. A processor of the mobile device may extract a crew ID from the beacon. The processor may determine that the crew ID matches a crew ID of a user logged into the mobile device. In response to determining that the crew ID matches the crew ID of the user, the processor may generate a reply beacon. The transceiver may transmit the reply beacon. The transceiver may receive a response to the reply beacon. The response may include a job ID enabling the user to clock into a job. The processor may clock the user into the job. As a result of clocking the user into the job, the mobile device may become a member of the mesh network.

Abstract: A transceiver of a mobile device may receive a beacon transmitted by a mesh network member mobile device. A processor of the mobile device may extract a crew ID from the beacon. The processor may determine that the crew ID matches a crew ID of a user logged into the mobile device. In response to determining that the crew ID matches the crew ID of the user, the processor may generate a reply beacon. The transceiver may transmit the reply beacon. The transceiver may receive a response to the reply beacon. The response may include a job ID enabling the user to clock into a job. The processor may clock the user into the job. As a result of clocking the user into the job, the mobile device may become a member of the mesh network.

Abstract: A transceiver of a mobile device may receive a beacon transmitted by a mesh network member mobile device. A processor of the mobile device may extract a crew ID from the beacon. The processor may determine that the crew ID matches a crew ID of a user logged into the mobile device. In response to determining that the crew ID matches the crew ID of the user, the processor may generate a reply beacon. The transceiver may transmit the reply beacon. The transceiver may receive a response to the reply beacon. The response may include a job ID enabling the user to clock into a job. The processor may clock the user into the job. As a result of clocking the user into the job, the mobile device may become a member of the mesh network.

Abstract: Aspects of the present disclosure provide techniques for efficient location tracking. Embodiments include receiving a device location from a mobile device. Embodiments include identifying a plurality of region definitions and selecting a set of region definitions from the plurality of region definitions based on a proximity of a location of each region definition of the plurality of region definitions to the device location. Embodiments include generating a provisional region definition based on a location of a region definition of the set of region definitions that is farthest from the device location and including the provisional region definition in the set of region definitions. Embodiments include providing the set of region definitions to the mobile device for provisioning and refraining from requesting device locations from the mobile device until receiving a notification from the mobile device that the mobile device has exited a provisional region defined by the provisional region definition.

Abstract: An embodiment method for managing geographic information includes receiving, at a service portal, executed lease data for mineral rights leases on associated first land parcels, generating first map data according to the executed lease data, and sending the first map data through a network interface to a client application for display to a first user at a first remote terminal. The method further includes receiving, from the first remote terminal, data for a proposed division order boundary, determining one or more of the first land parcels having boundaries that at least partly overlap the proposed division order boundary, generating division order data related to portions of the one or more first land parcels, and sending the division order data to the first remote terminal for display to the user.

Abstract: An embodiment method for managing geographic information includes receiving, at a service portal, executed lease data for mineral rights leases on associated first land parcels, generating first map data according to the executed lease data, and sending the first map data through a network interface to a client application for display to a first user at a first remote terminal. The method further includes receiving, from the first remote terminal, data for a proposed division order boundary, determining one or more of the first land parcels having boundaries that at least partly overlap the proposed division order boundary, generating division order data related to portions of the one or more first land parcels, and sending the division order data to the first remote terminal for display to the user.

Abstract: An embodiment method for managing geographic information includes receiving, at a service portal, executed lease data for mineral rights leases on associated first land parcels, generating first map data according to the executed lease data, and sending the first map data through a network interface to a client application for display to a first user at a first remote terminal. The method further includes receiving, from the first remote terminal, data for a proposed division order boundary, determining one or more of the first land parcels having boundaries that at least partly overlap the proposed division order boundary, generating division order data related to portions of the one or more first land parcels, and sending the division order data to the first remote terminal for display to the user.

Abstract: A device to detect a user accessing a region of interest of an image, access pixels of the region of interest to identify alphanumeric characters within the region of interest, and store the alphanumeric characters and a location of the alphanumeric characters within metadata of the image.