Abstract: Dynamically adjusting, using artificial intelligence (AI), sensors and models of an autonomous roaming robotic device, which includes receiving data regarding an asset at a computer of a roaming robotic device from sensors on the robotic device. The robotic device identifies an asset at a location using the sensors, and the robotic device has instructions, received from a control system, to inspect the location or items at the location. The data is analyzed using the computer of the robotic device, and the analysis includes using historical data for the asset. An AI model is loaded using the computer of the robotic device, based on the identification of the asset. A sensor is selected using the computer of the robotic device, for conducting an inspection of the asset based on the analysis of the data and the AI model.

Abstract: Embodiments of the present invention disclose a method, a computer program product, and a computer system predicting parking availability. A computer identifies parking spaces and groups the parking spacing into parking locations. In addition, the computer distinguishes private parking spaces from public parking spaces, and trains a crowd forecast model for each of the parking locations. The computer further receives a destination and preferences, from which the computer creates a geofence based on the destination and preferences. The computer then predicts parking availability based on the crowd forecast models and refines the crowd forecast model.

Abstract: Embodiments of the present invention disclose a method, a computer program product, and a computer system predicting parking availability. A computer identifies parking spaces and groups the parking spacing into parking locations. In addition, the computer distinguishes private parking spaces from public parking spaces, and trains a crowd forecast model for each of the parking locations. The computer further receives a destination and preferences, from which the computer creates a geofence based on the destination and preferences. The computer then predicts parking availability based on the crowd forecast models and refines the crowd forecast model.

Abstract: Embodiments of the present invention disclose a method, a computer program product, and a computer system for predicting a crowdedness of a location. In the example embodiment, a computer receives a location and defines a geofence around the location. In addition, the computer collects current feature data of users within the geofence and predicts a crowdedness of the location based on inputting the current feature data into a model.

Abstract: Embodiments of the present invention disclose a method, a computer program product, and a computer system for predicting a crowdedness of a location. In the example embodiment, a computer receives a location and defines a geofence around the location. In addition, the computer collects current feature data of users within the geofence and predicts a crowdedness of the location based on inputting the current feature data into a model.

Abstract: Embodiments of the present invention disclose a method, a computer program product, and a computer system predicting parking availability. A computer identifies parking spaces and groups the parking spacing into parking locations. In addition, the computer distinguishes private parking spaces from public parking spaces, and trains a crowd forecast model for each of the parking locations. The computer further receives a destination and preferences, from which the computer creates a geofence based on the destination and preferences. The computer then predicts parking availability based on the crowd forecast models and refines the crowd forecast model.

Abstract: Embodiments of the present invention disclose a method, a computer program product, and a computer system predicting parking availability. A computer identifies parking spaces and groups the parking spacing into parking locations. In addition, the computer distinguishes private parking spaces from public parking spaces, and trains a crowd forecast model for each of the parking locations. The computer further receives a destination and preferences, from which the computer creates a geofence based on the destination and preferences. The computer then predicts parking availability based on the crowd forecast models and refines the crowd forecast model.

Abstract: A method and system are disclosed for manipulating a model, where that model represents some or all of a design. The design includes a multitude of design elements, the model includes a multitude of model elements, and each of the design elements is represented by a single model element. The method comprises the steps of generating a suite of documents from the model, each of the documents describing a view of the model; and displaying the documents to a user as a series of forms. The user provides information to the forms to change the documents, and changes to the documents result in both changes to the model and consistent changes across the suite of documents. In the preferred embodiment, the model identifies specific relationships between the elements of the model, and each of the model elements has defined properties.

Abstract: A composable software bundle is created by retrieving a semantic representation of a set of software modules. A functional representation of a set of operations is retrieved. Each operation in the set of operations is to be performed on the set of software modules during at least one virtual image life-cycle phase in a set of virtual image life-cycle phases. A set of artifacts including a set of executable instructions associated with the set of operations is identified. The semantic representation, the functional representation, and the set of artifacts, are stored in a composable software bundle.

Abstract: A virtual image is created by receiving a selection of at least one composable software bundle. The at least one composable software bundle includes a first set of metadata and a first set of artifacts comprising a first set of executable instructions associated with a first set of operations. A virtual image asset is selected and received. The virtual image asset includes one or more virtual image disks, a second set of metadata, and a second set of artifacts including a second set of executable instructions associated with a second set of operations. A new virtual image asset is created based on the at least one composable software bundle and the virtual image asset. The new virtual image asset includes a third set of metadata that is based on the first set of metadata and the second set of metadata.

Abstract: Lifecycles of virtual image assets are managed as follows. A set of assets including a set virtual image assets and a set of software bundle assets are analyzed. At least a portion of relationship data between one or more of the virtual image assets and one or more of the software bundle assets is determined. The at least a portion of relationship data is stored in a memory. At least one of one or more virtual image assets and one or more software bundle assets are determined to be associated with a set of changes. At least one virtual image asset that is related to the one or more virtual image assets and/or one or more software bundle assets associated with the set of changes is identified. The at least one virtual image asset that has been identified is updated based on the set of changes.

Abstract: Lifecycles of virtual image assets are managed as follows. A set of assets including a set virtual image assets and a set of software bundle assets are analyzed. At least a portion of relationship data between one or more of the virtual image assets and one or more of the software bundle assets is determined. The at least a portion of relationship data is stored in a memory. At least one of one or more virtual image assets and one or more software bundle assets are determined to be associated with a set of changes. At least one virtual image asset that is related to the one or more virtual image assets and/or one or more software bundle assets associated with the set of changes is identified. The at least one virtual image asset that has been identified is updated based on the set of changes.

Abstract: A method and system are disclosed for creating a hyperlink together with an associated semantic link between a source entity, and a target entity. The source entity includes descriptive text. The system includes means for selecting text within the source entity, and means for selecting the target entity. Also, means are provided for selecting a type of semantic link, and means are provided for creating a hyperlink between said selected text and said target entity. The system further includes means for creating a semantic link of said type between said source entity and said target entity, including means for including in the hyperlink a reference to said semantic link. In the preferred embodiment of the invention, the means for selecting the type of semantic link includes means for prompting a user to select from among a plurality of candidate types of semantic links.

Abstract: A method and system are disclosed for manipulating a model, where that model represents some or all of a design. The design includes a multitude of design elements, the model includes a multitude of model elements, and each of the design elements is represented by a single model element. The method comprises the steps of generating a suite of documents from the model, each of the documents describing a view of the model; and displaying the documents to a user as a series of forms. The user provides information to the forms to change the documents, and changes to the documents result in both changes to the model and consistent changes across the suite of documents. In the preferred embodiment, the model identifies specific relationships between the elements of the model, and each of the model elements has defined properties.

Abstract: A method and system are disclosed for manipulating a model, where that model represents some or all of a design. The design includes a multitude of design elements, the model includes a multitude of model elements, and each of the design elements is represented by a single model element. The method comprises the steps of generating a suite of documents from the model, each of the documents describing a view of the model; and displaying the documents to a user as a series of forms. The user provides information to the forms to change the documents, and changes to the documents result in both changes to the model and consistent changes across the suite of documents. In the preferred embodiment, the model identifies specific relationships between the elements of the model, and each of the model elements has defined properties.

Abstract: Lifecycles of virtual image assets are managed as follows. A set of assets including a set virtual image assets and a set of software bundle assets are analyzed. At least a portion of relationship data between one or more of the virtual image assets and one or more of the software bundle assets is determined. The at least a portion of relationship data is stored in a memory. At least one of one or more virtual image assets and one or more software bundle assets are determined to be associated with a set of changes. At least one virtual image asset that is related to the one or more virtual image assets and/or one or more software bundle assets associated with the set of changes is identified. The at least one virtual image asset that has been identified is updated based on the set of changes.

Abstract: Lifecycles of virtual image assets are managed as follows. A set of assets including a set virtual image assets and a set of software bundle assets are analyzed. At least a portion of relationship data between one or more of the virtual image assets and one or more of the software bundle assets is determined. The at least a portion of relationship data is stored in a memory. At least one of one or more virtual image assets and one or more software bundle assets are determined to be associated with a set of changes. At least one virtual image asset that is related to the one or more virtual image assets and/or one or more software bundle assets associated with the set of changes is identified. The at least one virtual image asset that has been identified is updated based on the set of changes.

Abstract: A composable software bundle is created by retrieving a semantic representation of a set of software modules. A functional representation of a set of operations is retrieved. Each operation in the set of operations is to be performed on the set of software modules during at least one virtual image life-cycle phase in a set of virtual image life-cycle phases. A set of artifacts including a set of executable instructions associated with the set of operations is identified. The semantic representation, the functional representation, and the set of artifacts, are stored in a composable software bundle.

Abstract: A virtual image is created by receiving a selection of at least one composable software bundle. The at least one composable software bundle includes a first set of metadata and a first set of artifacts comprising a first set of executable instructions associated with a first set of operations. A virtual image asset is selected and received. The virtual image asset includes one or more virtual image disks, a second set of metadata, and a second set of artifacts including a second set of executable instructions associated with a second set of operations. A new virtual image asset is created based on the at least one composable software bundle and the virtual image asset. The new virtual image asset includes a third set of metadata that is based on the first set of metadata and the second set of metadata.

Abstract: A method for minimizing total cost of interaction among components of a computer program, each of the components being characterized by at least one implementation property includes steps of: a) carrying out at least a partial run of the program; b) monitoring the at least partial run of the program to measure an amount of interaction between each pair of components; c) determining a cost of interaction between each pair of interacting components; d) determining a choice of implementation properties which minimizes total cost of the at least partial run; and e) assigning that choice of implementation properties to the components for a subsequent at least partial run of the program.