Abstract: Techniques facilitating mitigation of dangerous activities are provided. In one example, a computer-implemented method can include detecting, by a system operatively coupled to a processor, a trigger event based on a determination that a security risk level satisfies a defined condition associated with the security risk level. The security risk level can be associated with an item of interest and a monitored behavior related to the item of interest. The computer-implemented method can also include implementing, by the system, an action that mitigates an impact of the security risk level. The action can be implemented as the trigger event is detected and the action can be determined based on the item of interest and the monitored behavior.

Abstract: A system for continued navigation of unmanned aerial vehicles beyond restricted boundaries. The system comprises a monitoring device to track a geolocation corresponding to an unmanned aerial vehicle and to compare the geolocation corresponding to the unmanned aerial vehicle with a geolocation corresponding to a restricted boundary to determine a location of the unmanned aerial vehicle with respect to a restricted environment, and a route generator to generate an alternative navigation method to navigate the restricted environment when the unmanned aerial vehicle is located within a predetermined distance of the restricted environment.

Abstract: In one or more embodiments described herein, device, computer-implemented methods, and/or computer program products that facilitate biometric authentication. According to an embodiment, a device can comprise a memory that stores computer executable components and a processor that executes the computer executable components. The computer executable components can comprise a sensor component comprising one or more pressure sensors and that measures pressure. The computer executable components can further comprise a pressure processing component that determines a first pressure sequence employed to authenticate the device, wherein the first pressure sequence is determined based on a pressure applied at the one or more pressure sensors. The computer executable components can further comprise an authentication component that authenticates the first pressure sequence by determining that the first pressure sequence matches an authentication pressure sequence.

Abstract: Embodiments of the present invention provide a method, computer program product, and a computer system for automated deployment of autonomous devices performing localized environment altering actions. A processor detects a set of weather conditions for a region, wherein the set of weather conditions includes at least temperature. A processor predicts whether the temperature will influence bodily functions of at least one organism of a plurality of organisms in the region. A processor dispatches one or more autonomous devices in response to predicting that the temperature will influence the bodily functions of the at least one organism of the plurality of organisms in the region.

Abstract: A system includes, but is not limited to, a hardware controller for adjusting a dynamically modifiable display on a garment; and an environmental dominant hue sensor that detects a real-time dominant hue of an environment in which the garment is located, where the hardware controller adjusts the dynamically modifiable display based on a real-time detected dominant hue of the environment in which the garment is located in order to increase a color contrast between the dynamically modifiable display and the real-time detected dominant hue of the environment in which the garment is located.

Abstract: The present invention is a system and method that generates a Table of Contents (TOC) customized to the user knowledge about the concept(s) in the user query and the specific context and preferences of the user. The invention identifies search concepts within the search queries, receives search results, and splits the search results into one or more result segments. In a preferred embodiment, a correlation strength between concepts in one or more of the result segments and the user search query, along with reference to the user knowledge, context, and/or preferences determine which result segments are selected in sequenced to form the TOC.

Abstract: A method for guiding an emergency vehicle to an emergency site includes receiving an emergency dispatch message including a location of an emergency. Present location information is received for an emergency vehicle. A route between the received present location and the received location of the emergency is calculated using area map data. Navigation guidance is provided to the emergency vehicle based on the calculated route. The calculated route and the present location information for the emergency vehicle are transmitted to an unmanned aerial vehicle (UAV). The UAV is automatically piloted ahead of the emergency vehicle, along the calculated route, using the calculated route and present location transmitted thereto. A traffic alert is transmitted from the UAV to influence traffic flow ahead of the emergency vehicle.

Abstract: Aspects of the disclosure relate to managing migration of an application. The managing migration of an application includes establishing a source dataset. The source dataset includes a set of source features. The source features relate to a source. The source includes the application. A determination of a first set of migration plans is made. The determination is made with an evaluation. The evaluation is made using the source dataset and a set of legacy features. The evaluation is performed with a cost measure. The application is migrated from the source to the target. The migration is based on the determined first set of migration plans.

Abstract: The present invention provides a method, system, and computer program product of an intelligent self-service delivery advisor. In an embodiment, the present invention includes, in response to receiving computer system service data, identifying, by a second computer system, a computer system service category among a plurality of computer system categories, identifying, by the second computer system, one or more computer system service tasks, based on the computer system service data and the computer system service category, selecting, by the second computer system, a catalog among a plurality of catalogs, based on the one or more computer system service tasks and the computer system service data, generating, by the second computer system, one or more suggestions based on the catalog and the one or more computer system service tasks; and displaying, displaying by the second computer system, the one or more suggestion on a display logically coupled to the computer system.

Abstract: A compliance of a system is managed. Internal parameters of the system are received. One or more compliance control documents that relate to the system are identified. Each compliance control document is decomposed into one or more auditable units. Auditable units that are relevant to the system, are identified. Relevant auditable units are mapped to a corresponding available executable code. Each mapped executable code is executed. A risk associated with each relevant auditable unit that is deemed to be not compliant is identified. For each compliance control document, a compliance risk is calculated based on the identified risk. A report of compliance risk for each document is created to be displayed on a user interface of a computing device.

Abstract: Techniques for autonomously tracking and/or predicting an alert event are provided. In one example, a system can comprise a memory that stores computer executable components. The system can also comprise a processor, operably coupled to the memory, and that executes the computer executable components stored in the memory. The computer executable components can comprise a schedule component that determines plan information for a hub of a plurality of hubs, and the hub can be coupled to a device. The computer executable components can further comprise a tracking component that identifies a deviation from the plan information by the hub. Additionally, the computer executable components can comprise a prediction component that determines a probability that the deviation will result in an alert event.

Abstract: Techniques for autonomously tracking and/or predicting an alert event are provided. In one example, a system can comprise a memory that stores computer executable components. The system can also comprise a processor, operably coupled to the memory, and that executes the computer executable components stored in the memory. The computer executable components can comprise a schedule component that determines plan information for a hub of a plurality of hubs, and the hub can be coupled to a device. The computer executable components can further comprise a tracking component that identifies a deviation from the plan information by the hub. Additionally, the computer executable components can comprise a prediction component that determines a probability that the deviation will result in an alert event.

Abstract: Techniques regarding providing artificial intelligence problem descriptions are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can include, at least: a query component that generates key performance indicators from a query, determines a subset of key performance indicators that individually have a performance below a threshold, and maps the subset of key performance indicators to operational metrics; a learning component that generates, using artificial intelligence, problem descriptions from one or more of the subset of key performance indicators or the operational metrics and transmits the problem descriptions to a database.

Abstract: In one or more embodiments described herein, device, computer-implemented methods, and/or computer program products that facilitate biometric authentication. According to an embodiment, a device can comprise a memory that stores computer executable components and a processor that executes the computer executable components. The computer executable components can comprise a sensor component comprising one or more pressure sensors and that measures pressure. The computer executable components can further comprise a pressure processing component that determines a first pressure sequence employed to authenticate the device, wherein the first pressure sequence is determined based on a pressure applied at the one or more pressure sensors. The computer executable components can further comprise an authentication component that authenticates the first pressure sequence by determining that the first pressure sequence matches an authentication pressure sequence.

Abstract: Techniques facilitating mitigation of dangerous activities are provided. In one example, a computer-implemented method can include detecting, by a system operatively coupled to a processor, a trigger event based on a determination that a security risk level satisfies a defined condition associated with the security risk level. The security risk level can be associated with an item of interest and a monitored behavior related to the item of interest. The computer-implemented method can also include implementing, by the system, an action that mitigates an impact of the security risk level. The action can be implemented as the trigger event is detected and the action can be determined based on the item of interest and the monitored behavior.

Abstract: Generating a user interface template is provided. A user context corresponding to an action request by a user to perform a task on a computer is determined. A set of user interface templates corresponding to the action request by the user and the user context is retrieved. Components of different user interface templates within the set of user interface templates are compared. Relevant components of the different user interface templates are combined based on the action request by the user and the user context. The user interface template corresponding to the action request by the user and the user context is generated based on the combined relevant components of the different user interface templates.

Abstract: Aspects of the invention include receiving, using a processor, a plurality of values of a performance indicator. A statistical analysis of the plurality of values of the performance indicator is performed, using the processor, to detect an anomaly pattern in the plurality of values of the performance indicator. A warning message about the detected anomaly pattern is sent to an alert recipient that is selected by a machine learning model trained to identify alert recipients based at least in part on detected anomaly patterns. Feedback about the warning message is received from the alert recipient. The feedback includes an interest of the alert recipient in receiving warning messages about the detected anomaly pattern. The machine learning model is updated based at least in part on the feedback.

Abstract: An unmanned aerial vehicle for scent analysis. The unmanned aerial vehicle includes a sensor array to sample ambient air in a location to detect an odor, a pattern recognition unit coupled to a database to identify the odor, wherein the odor is compared to identification information stored in the database, and a mapping unit to estimate an assessment value associated with the odor and to generate an instruction to one or more components of the unmanned aerial vehicle to perform a function when the assessment value exceeds a predetermined threshold value, wherein the function includes activating one or more feedback outputs on the unmanned aerial vehicle.

Abstract: A method, system, and/or computer program product controls operations of a mobile audio input device. One or more processors detect a first location of a mobile audio input device. The processor(s) detect a second location of the user. The processor(s) then direct the mobile audio input device to autonomously move from the first location to the second location and, in response to the mobile audio input device reaching the second location, to activate the microphone on the mobile audio input device.

Abstract: A recycle bin management method, system, and non-transitory computer readable medium, include a cognitive detection circuit configured to detect a cognitive state and a cognitive characteristic of a user at a time when the user is performing a first deletion of a file to a recycle bin and a file tagging circuit configured to tag the file with a cognitive indicator based on the cognitive state and cognitive characteristic of the user, the cognitive indicator altering a visual display of the file in the recycle bin to indicate the cognitive state and the cognitive characteristic of the user before the user performs a second deletion to delete the file from the recycle bin.