Abstract: A method and system of fulfilling a request for a desired photo. A request from a first service subscriber for a desired photo in a first data packet is received. Upon determining that the photo capturing device has the location compatibility and the hardware compatibility to fulfill the request for the desired photo, a fulfillment request is sent in a second data packet to the photo capturing device. Upon receiving a response photo from the photo capturing device, it is determined whether the response photo accommodates the desired photo. Upon determining that the response photo accommodates the desired photo, the response photo is sent to the first service subscriber.

Abstract: A computer-implemented method includes: detecting, by a user device, an event that indicates a potential security compromise of the user device; determining, by the user device, a service accessible on the user device; sending, by the user device, a breach notification to a service provider corresponding to the service accessible on the user device; receiving, by the user device, a security profile from the service provider; and restricting, by the user device, access to the service provider by a client of the service provider on the user device until the security profile is satisfied by a user completing a security challenge defined in the security profile.

Abstract: An approach is described for identifying an entity associated with a communication in an online environment. An associated system may include a processor and a memory storing an application program, which, when executed on the processor, performs an operation. The operation may include receiving a communication within the online environment. The communication may include a plurality of sequential messages. The operation further may include facilitating parsing, via natural language processing, of language in the communication corresponding to an entity and one or more sentiments associated with the entity. The operation further may include determining whether the entity is unambiguously identifiable. Upon determining that the entity is not unambiguously identifiable, the operation may include identifying the entity based upon Bayesian inference.

Abstract: An approach is described for identifying an entity associated with a communication in an online environment. A method pertaining to such approach may include receiving a communication within the online environment. The communication may be received via a communications network. The communication may include a plurality of sequential messages. The method further may include facilitating parsing, via natural language processing, of language in the communication corresponding to an entity and one or more sentiments associated with the entity. The method further may include determining whether the entity is unambiguously identifiable. Upon determining that the entity is not unambiguously identifiable, the method may include identifying the entity based upon Bayesian inference. According to an embodiment, determining whether the entity is unambiguously identifiable may include determining whether the entity is among a plurality of participants in the communication.

Abstract: A system includes: a CPU, a computer readable memory and a computer readable storage medium associated with a computer device of a service provider; program instructions to receive, by the computer device, a breach notification from a user device, wherein the user device includes a client that corresponds to the service provider, and the breach notification indicates a potential security compromise of the user device; program instructions to identify, by the computer device, a plurality of user devices that have the client; and program instructions to transmit, by the computer device, a respective security profile to each of the identified plurality of user devices, wherein each of the respective security profiles defines a security challenge that must be completed to obtain access. The program instructions are stored on the computer readable storage medium for execution by the CPU via the computer memory.

Abstract: A sub-image of data of a first full image may be selected. The sub-image of data may at least partially obscure an object within the first full image. A request to replace the sub-image of data may be transmitted over a network. The request may include transmitting the full image and transmitting metadata associated with the first full image to one or more of a server computing device. The server computing device may analyze a history of images and select one or more images of the history of images that match one or more attributes of the metadata. The server computing device may replace the sub-image of data using the one or more images to generate at least a second full image that includes the object, wherein the object is not obscured. The second full image may be received over the network.

Abstract: A sub-image of data of a first full image may be selected. The sub-image of data may at least partially obscure an object within the first full image. A request to replace the sub-image of data may be transmitted over a network. The request may include transmitting the full image and transmitting metadata associated with the first full image to one or more of a server computing device. The server computing device may analyze a history of images and select one or more images of the history of images that match one or more attributes of the metadata. The server computing device may replace the sub-image of data using the one or more images to generate at least a second full image that includes the object, wherein the object is not obscured. The second full image may be received over the network.

Abstract: Embodiments for processing an image by a processor. The image may be analyzed for one or more identified image elements. An action to be performed by a device, interconnected in an Internet of Things (IoT) Network, may be associated based on the one or more identified image elements. One or more settings of the device may be preconfigured to perform the action.

Abstract: Systems and a method for transporting smart shopping bags are provided herein. The system includes a plurality of drones, each of which is operable to travel to a plurality of designated locations to search for smart shopping bags. The smart shopping bags are configured to store goods for transport and are operable to store and wirelessly communicate user preferences, information related to stored goods, and one or more destinations for the goods. Upon finding a smart shopping bag, each of the drones is operable to query the smart shopping bag to determine whether the smart shopping bag is suitable for pickup by the drone. If the smart shopping bag is suitable for pickup, each of the drones is operable to transport the smart shopping bag toward a first one of the one or more destinations.

Abstract: A processor-implemented method is provided. The method may include providing a content registry with at least one application program interface (API) to manage a plurality of entries stored in the content registry. The method may also include providing access to the plurality of entries by a pre-authorized search engine to the content registry in response to a search requested by an authorized requester.

Abstract: Provided are techniques for modeling operational units, each operational unit corresponding to an operational workflow and to one or more deployment engines of a plurality of deployment engines; selecting, for each of the plurality of operational units, one of the corresponding deployment engines; ordering the operational units with respect to the operational workflow; grouping the ordered operation units according to the selected deployment engines into deployment engine groupings; mapping output parameters corresponding to a first operational unit that concludes a first deployment engine grouping to input parameters corresponding to a second operational unit that initiates a second deployment engine grouping, inserting between the first operational unit and the second operational unit a transitional operational unit for transitioning between a first deployment engine corresponding to the first deployment engine grouping and a second deployment engine corresponding to the second deployment engine grouping to

Abstract: A sub-image of data of a first full image may be selected. The sub-image of data may at least partially obscure an object within the first full image. A request to replace the sub-image of data may be transmitted over a network. The request may include transmitting the full image and transmitting metadata associated with the first full image to one or more of a server computing device. The server computing device may analyze a history of images and select one or more images of the history of images that match one or more attributes of the metadata. The server computing device may replace the sub-image of data using the one or more images to generate at least a second full image that includes the object, wherein the object is not obscured. The second full image may be received over the network.

Abstract: A sub-image of data of a first full image may be selected. The sub-image of data may at least partially obscure an object within the first full image. A request to replace the sub-image of data may be transmitted over a network. The request may include transmitting the full image and transmitting metadata associated with the first full image to one or more of a server computing device. The server computing device may analyze a history of images and select one or more images of the history of images that match one or more attributes of the metadata. The server computing device may replace the sub-image of data using the one or more images to generate at least a second full image that includes the object, wherein the object is not obscured. The second full image may be received over the network.

Abstract: Embodiments for processing an image by a processor. The image may be analyzed for one or more identified image elements. An action to be performed by a device, interconnected in an Internet of Things (IoT) Network, may be associated based on the one or more identified image elements. One or more settings of the device may be preconfigured to perform the action.

Abstract: A software container image that includes components dependent on a first computer instruction set architecture (ISA) is ported to enable a container to execute using the container image on a computer having a second ISA different from the first. Porting the container image entails replacing components of the container image not compatible with the second ISA with equivalent components compatible with the second ISA. The porting is performed, in some instances, dynamically as part of running a container with the container image on a computer implementing the second ISA.

Abstract: A sub-image of data of a first full image may be selected. The sub-image of data may at least partially obscure an object within the first full image. A request to replace the sub-image of data may be transmitted over a network. The request may include transmitting the full image and transmitting metadata associated with the first full image to one or more of a server computing device. The server computing device may analyze a history of images and select one or more images of the history of images that match one or more attributes of the metadata. The server computing device may replace the sub-image of data using the one or more images to generate at least a second full image that includes the object, wherein the object is not obscured. The second full image may be received over the network.

Abstract: A sub-image of data of a first full image may be selected. The sub-image of data may at least partially obscure an object within the first full image. A request to replace the sub-image of data may be transmitted over a network. The request may include transmitting the full image and transmitting metadata associated with the first full image to one or more of a server computing device. The server computing device may analyze a history of images and select one or more images of the history of images that match one or more attributes of the metadata. The server computing device may replace the sub-image of data using the one or more images to generate at least a second full image that includes the object, wherein the object is not obscured. The second full image may be received over the network.

Abstract: Provided are techniques for modeling operational units, each operational unit corresponding to an operational workflow and to one or more deployment engines of a plurality of deployment engines; selecting, for each of the plurality of operational units, one of the corresponding deployment engines; ordering the operational units with respect to the operational workflow; grouping the ordered operation units according to the selected deployment engines into deployment engine groupings; mapping output parameters corresponding to a first operational unit that concludes a first deployment engine grouping to input parameters corresponding to a second operational unit that initiates a second deployment engine grouping, inserting between the first operational unit and the second operational unit a transitional operational unit for transitioning between a first deployment engine corresponding to the first deployment engine grouping and a second deployment engine corresponding to the second deployment engine grouping to

Abstract: A sub-image of data of a first full image may be selected. The sub-image of data may at least partially obscure an object within the first full image. A request to replace the sub-image of data may be transmitted over a network. The request may include transmitting the full image and transmitting metadata associated with the first full image to one or more of a server computing device. The server computing device may analyze a history of images and select one or more images of the history of images that match one or more attributes of the metadata. The server computing device may replace the sub-image of data using the one or more images to generate at least a second full image that includes the object, wherein the object is not obscured. The second full image may be received over the network.

Abstract: A computer-implemented method includes: detecting, by a user device, an event that indicates a potential security compromise of the user device; determining, by the user device, a service accessible on the user device; sending, by the user device, a breach notification to a service provider corresponding to the service accessible on the user device; receiving, by the user device, a security profile from the service provider; and restricting, by the user device, access to the service provider by a client of the service provider on the user device until the security profile is satisfied by a user completing a security challenge defined in the security profile.