Abstract: Installation of a location-based application. A method collects device data of a mobile device of a user, the device data including information indicative of a location at which the user will be present at a future time. The method identifies, based on the collecting the device data, a software application associated with that location. The method downloads an installer for the software application to the mobile device of the user. The method also automatically installs the software application on the mobile device based on a triggering event, the installing being prior to arrival of the user at the location at the future time.

Abstract: A computer-implemented method includes receiving a first 3D model and a second 3D model, wherein the first 3D model represents a first set of objects and the second 3D model represents includes a second set of objects. The computer-implemented method further includes scanning each of the first 3D model and the second 3D model to identify the first set of objects and the second set of objects, wherein the first set of objects and the second set of objects have at least one common object. The computer-implemented method further includes comparing the first set of objects to the second set of objects to yield one or more differences. The computer-implemented method further includes sorting each of the one or more differences based on a set of rules to yield a list of differences. A corresponding computer system and computer program product are also disclosed.

Abstract: Installation of a location-based application. A method collects device data of a mobile device of a user, the device data including information indicative of a location at which the user will be present at a future time. The method identifies, based on the collecting the device data, a software application associated with that location. The method downloads an installer for the software application to the mobile device of the user. The method also automatically installs the software application on the mobile device based on a triggering event, the installing being prior to arrival of the user at the location at the future time.

Abstract: Installation of a location-based application. A method collects device data of a mobile device of a user, the device data including information indicative of a location at which the user will be present at a future time. The method identifies, based on the collecting the device data, a software application associated with that location. The method downloads an installer for the software application to the mobile device of the user. The method also automatically installs the software application on the mobile device based on a triggering event, the installing being prior to arrival of the user at the location at the future time.

Abstract: Installation of a location-based application. A method collects device data of a mobile device of a user, the device data including information indicative of a location at which the user will be present at a future time. The method identifies, based on the collecting the device data, a software application associated with that location. The method downloads an installer for the software application to the mobile device of the user. The method also automatically installs the software application on the mobile device based on a triggering event, the installing being prior to arrival of the user at the location at the future time.

Abstract: A computer-implemented method includes receiving a first 3D model and a second 3D model, wherein the first 3D model represents a first set of objects and the second 3D model represents includes a second set of objects. The computer-implemented method further includes scanning each of the first 3D model and the second 3D model to identify the first set of objects and the second set of objects, wherein the first set of objects and the second set of objects have at least one common object. The computer-implemented method further includes comparing the first set of objects to the second set of objects to yield one or more differences. The computer-implemented method further includes sorting each of the one or more differences based on a set of rules to yield a list of differences. A corresponding computer system and computer program product are also disclosed.

Abstract: A computer-implemented method includes receiving a first 3D model and a second 3D model, wherein the first 3D model represents a first set of object and the second 3D model represents includes a second set of objects. The computer-implemented method further includes scanning each of the first 3D model and the second 3D model to identify the first set of objects and the second set of objects, wherein the first set of objects and the second set of objects have at least one common object. The computer-implemented method further includes comparing the first set of objects to the second set of objects to yield one or more differences. The computer-implemented method further includes sorting each of the one or more differences based on a set of rules to yield a list of differences. A corresponding computer system and computer program product are also disclosed.

Abstract: A computer-implemented method includes receiving a first 3D model and a second 3D model, wherein the first 3D model represents a first set of object and the second 3D model represents includes a second set of objects. The computer-implemented method further includes scanning each of the first 3D model and the second 3D model to identify the first set of objects and the second set of objects, wherein the first set of objects and the second set of objects have at least one common object. The computer-implemented method further includes comparing the first set of objects to the second set of objects to yield one or more differences. The computer-implemented method further includes sorting each of the one or more differences based on a set of rules to yield a list of differences. A corresponding computer system and computer program product are also disclosed.