Abstract: Management of available energy among multiple drones is provided by identifying tasks to be completed by the multiple drones, and determining energy requirements of one or more drones of the multiple drones to facilitate completing one or more tasks of the tasks to be completed by the multiple drones. Further, the approach includes identifying an energy sharing approach for completion of the task(s) by the drone(s) where one or more other drones of the multiple drones transfer energy in operation to the drone(s) to facilitate completion of the task(s). In operation, the multiple drones may be detachably coupled, and the approach may include implementing the energy sharing approach by transferring energy from the other drone(s) to the drone(s) to facilitate completion of the task(s), for instance, prior to decoupling of the other drone(s) from the drone(s).

Abstract: Embodiments of the present invention disclose a method, computer program product, and system for utilizing a block storage device as Dynamic Random-Access Memory (DRAM) space, wherein a computer includes at least one DRAM module and at least one block storage device interfaced to the computer using a double data rate (DDR) interface. During boot up, the computer configures DRAM and block storage devices of the computer for utilization as DRAM or block storage. Then the computer determines that more DRAM space is required. Responsive to determining that more DRAM space is required, the computer transforms a block storage device into DRAM space. Once the computer determines that the transformed block storage device that is being used for DRAM space is no longer needed to be used as DRAM space, the computer transforms the block storage device back to block storage space.

Abstract: Embodiments for intelligent cluster learning in an Internet of Things (IoT) computing environment by a processor. One or more interactive actions, engagements, behaviors, communications, biometric data, parameters, or combination thereof relating to one or more IoT devices may be analyzed. A user profile may be clustered into a cluster of profiles according to the one or more interactive actions, engagements, behaviors, communications, biometric data, parameters, or combination thereof using one or more machine learning operations. Access to one or more functional assets and parameters associated with the one or more IoT devices may be automatically enabled or disabled.

Abstract: Aspects of the present disclosure relate to managing a collaborated environment. A set of editing rules are configured for a shared document. A first edit is received at a first time at a first location of the shared document. A second edit is received at a second time at the first location of the shared document which attempts to overwrite a portion of the first edit. A determination is made whether at least one editing rule of the set of editing rules is violated. In response to determining that at least one editing rule of the set of editing rules is violated, an alert action can be issued to a user associated with the second edit.

Abstract: Embodiments for managing drones by one or more processors are described. An aerial drone is controlled to fly to a first location outside of a restricted airspace. The aerial drone is enabled to detachably couple to a ground vehicle at the first location outside of the restricted airspace. The ground vehicle travels through the restricted airspace from the first location outside of the restricted airspace to a second location outside the restricted airspace. The aerial drone is enabled to detach from the ground vehicle at the second location outside of the restricted airspace. The aerial drone is controlled to fly from the second location outside of the restricted airspace to a third location outside of the restricted airspace.

Abstract: Embodiments for reducing false matches in a code analysis by one or more processors. Source code is scanned against a stored formatting profile. If a match between at least a portion of the source code and the formatting profile is found, restriction is made from incorporating the at least the portion of the source code in source code development.

Abstract: A method and apparatus are provided for implementing automated personalized, contextual alert displays. A display alert generator correlates user account information to web page advertisement images and text, and posts personalized reminders related to those images and text.

Abstract: Embodiments for providing a user defined application interface by a processor. A user profile defining one or more application behavior settings relating to at least behavior and appearance of a mobile application such that the user profile is referenced for providing a filtered selection of a plurality of mobile applications for selection.

Abstract: Mechanisms are provided for implementing a personalized training recommendation system. A request is received from a user to generate a personalized training regimen for a specified athletic event and event information is identified comprising characteristics of one or more geographical segments of the specified athletic event. Based on the event information, one or more portions of a geographical region are identified that approximate one or more characteristics of the one or more geographical segments within a predetermined tolerance. A training course is generated at least by combining a selected set of the portions of the geographical region based on an evaluation of a level of matching, for each portion, of characteristics of the portion to the one or more physical characteristics associated with the one or more geographical segments of the specified athletic event, which is then presented to the user as the personalized training regimen for the user.

Abstract: Embodiments for intelligent cluster learning in an Internet of Things (IoT) computing environment by a processor. One or more interactive actions, engagements, behaviors, communications, biometric data, parameters, or combination thereof relating to one or more IoT devices may be analyzed. A user profile may be clustered into a cluster of profiles according to the one or more interactive actions, engagements, behaviors, communications, biometric data, parameters, or combination thereof using one or more machine learning operations. Access to one or more functional assets and parameters associated with the one or more IoT devices may be automatically enabled or disabled.

Abstract: Embodiments for controlling a remote sensing device by one or more processors are described. Facial information associated with a plurality of organisms is received. A remote sensing direction for a remote sensing device is selected based on the received facial information. A signal representative of the remote sensing direction is generated.

Abstract: Embodiments for managing images by one or more processors are described. A selection of at least one portion of a first image is received. A selection of a characteristic of the at least one selected portion of the first image is received. At least one of a plurality of second images is selected based on the selected characteristic of the at least one selected portion of the first image.

Abstract: A method, system, and computer program product for generating a visual and tactile representation of a plurality of flexed pages associated with a set of data and presented on a graphical display. The graphical display may sense a plurality of flexural states and model respective tactile gradients according to the plurality of flexural states. For a flexural state meeting a set of criteria, the tactile gradient may be applied to the graphical display by distributing a selective volume contained with the graphical display.

Abstract: A method, system, and computer program product for generating a visual and tactile representation of a plurality of flexed pages associated with a set of data and presented on a graphical display. The graphical display may sense a plurality of flexural states and model respective tactile gradients according to the plurality of flexural states. For a flexural state meeting a set of criteria, the tactile gradient may be applied to the graphical display by distributing a selective volume contained with the graphical display.

Abstract: Embodiments include method, systems and computer program products for aligning visual content to search term queries. In some embodiments, one or more search terms may be received. A plurality of results may be obtained using the one or more search terms on metadata associated with preprocessed visual media. A subset of frames may be selected for each of the plurality of results. A search results set may be generated by optimizing the subset of frames for each of the plurality of results. The search results set may be transmitted.

Abstract: Embodiment of the present invention provides a systems and methods for completing travel plans after a personal vehicle failure. The system receives a request from a disabled vehicle and determines at least a first destination of one or more users associated with the disabled vehicle based on user input. Then the system determines a second destination of the disabled vehicle based on the user input and analyzes the user input and generating a list of rescue plans. Then it transmits the list of rescue plans to the one or more users and receives a selection by the user. Furthermore, it sends instructions to a service provider associated with the selected rescue plan to deliver the one or more users to the first destination and the disabled vehicle to the second destination.

Abstract: Embodiments of the invention include a context sensitive adaptive digital assistant for personalized interaction. Embodiments of the invention also include a spoken genome for characterization and analysis of human voice. Aspects of the invention include selecting a starter vocabulary, receiving voice communications from a user, and modifying the starter vocabulary to generate a personalized lexicon. Aspects of the invention also include analyzing and categorizing human voice according to a plurality of characteristics, and creating a spoken genome database.

Abstract: Embodiments include method, systems and computer program products for creating event reminders on a computational system. Aspects include a non-transitory storage medium readable by a processing circuit and storing instructions for execution by the processing circuit, the processing circuit configured to receive a user input, the user input comprising an event identifier. Aspects also include a user interface comprising a haptic sensor, a user input interface, and an output display. Aspects also include an electronic event reminder configured to display an event reminder that is generated by the processing circuit based at least in part upon the user input, wherein the event reminder comprises an aspect characteristic that changes over time.

Abstract: Methods and systems may provide for detecting a manual addition of first content to an interactive display and defining a content boundary around the first content. Additionally, a first automatic rescaling of the first content within the content boundary may be conducted in response to one or more of a manual modification of the first content or a trigger related to a characteristic of the first content. In one example, a manual reposition request is detected with respect to the first content, the first content is moved to a new position on the interactive display based on the reposition request, and a second automatic rescaling of the first content is conducted based on a state of second content that is adjacent to the new position.

Abstract: Techniques detecting usage of copyrighted video content using object recognition are provided. In one example, a computer-implemented method comprises determining, by a system operatively coupled to a processor, digest information for a video, wherein the digest information comprises objects appearing in the video and respective times at which the objects appear in the video. The method further comprises comparing, by the system, the digest information with reference digest information for reference videos, wherein the reference digest information identifies reference objects appearing in the reference videos and respective reference times at which the reference objects appear in the reference videos. The method further comprises determining, by the system, whether the video comprises content included in one or more of the reference videos based on a degree of similarity between the digest information and reference digest information associated with one or more of the reference videos.