Abstract: An embodiment of the invention provides a method and system including a sensor on a vehicle and a processor connected to the sensor. The processor determines a probability of falling based on input from the sensor, whether the probability of falling exceeds a threshold, and a state of an operator of the vehicle. An actuator connected to the processor receives a signal from the processor when the probability of falling exceeds the threshold and when the state of the operator includes an impaired state. Stabilizer wheels are connected to the actuator, where the signal includes a command to deploy the stabilizer wheels.

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: Selecting an instructional video is provided. It is determined that a query is requesting information on how to perform a procedure. A set of instructional videos are accessed corresponding to the information on how to perform the procedure. Information regarding a user of a client device that submitted the query is retrieved from at least one of a set of databases and a set of monitoring devices located on the user via a network. Physiological changes are predicted in the user's current cognitive state based on the information regarding the user retrieved from the set of databases and the set of monitoring devices. An instructional video is selected in the set of instructional videos corresponding to the information on how to perform the procedure based on the user's current cognitive state indicated in the retrieved information regarding the user of the client 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.

Abstract: Systems and methods for providing real-time alerts to a user of a device in or near a potentially dangerous situation are disclosed. A computer-implemented method includes determining, by the mobile device, that a user is looking at the mobile device based on sensor data, determining, by the mobile device, an area of a likely accident event, and generating, by the mobile device, an alert based on the determining that the user is looking at the device and the determining the area of the likely accident event.

Abstract: An unmanned aerial vehicle coupling apparatus for drone coupling. The unmanned aerial vehicle coupling apparatus includes a processor-based monitoring device to monitor values for each of a plurality of functions provided by a unmanned aerial vehicle and to detect when a value exceeds a predetermined threshold value, a vehicle selector to receive travel routes from each of a plurality of secondary vehicles and to select a secondary vehicle based on a travel route of the secondary vehicle when the value exceeds the predetermined threshold value, and a coupling mechanism to fasten and unfasten the unmanned aerial vehicle to the secondary vehicle.

Abstract: A method, system, and/or computer program product modifies an appearance of a graphical user interface (GUI) for a user. One or more processors determine a user context and a cognitive state of a user and identify a preferred focal point for the user. The processor(s) adjust a visual style of an image according to the determined user context and cognitive state of the user and the identified focal point for the user, and then present a graphical user interface that displays the image to the user using the adjusted visual style.

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) identify a user that desires to input a speech input to a microphone on the mobile audio input device and 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: An embodiment of the invention is provided for use in discovering a specified API service capability. The embodiment includes generating a search statement related to the specified API service capability. The embodiment further includes constructing a data structure, wherein the data structure includes one or more characteristic nodes that are each associated with data describing a particular API characteristic, and the associated data for respective characteristic nodes is ordered in accordance with one or more API service ontologies. The search statement is used to selectively search the data structure. The embodiment determines whether the search finds a match between data included in the search statement, and particular ontological data associated with one or more of the characteristic nodes of the data structure.

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) identify a user that desires to input a speech input to a microphone on the mobile audio input device and 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 system includes a wearer role identification device, a garment with a dynamically modifiable display, and a hardware controller for the dynamically modifiable display. The wearer role identification device identifies a dynamically changeable role of the wearer of the garment. The hardware controller adjusts the dynamically modifiable display based on real-time inputs received from the wearer role identification device.

Abstract: An unmanned aerial vehicle for providing ameliorative action.

Abstract: Aspects include methods, systems and computer program products for evaluating a patient for a movement disorder. The method comprises defining a patient to be evaluated and deploying a unmanned aerial vehicle (UAV) to a location of the patient. The UAV includes a patient evaluation feature and at least one sensor operably coupled to the patient evaluation feature. The UAV is positioned relative to the patient to measure a patient motor characteristic. The patient motor characteristic is measured with the at least one sensor. A movement disorder is determined based at least in part on the measured patient motor characteristic. A signal is transmitted based on the detecting the movement disorder.

Abstract: A method of updating a notification preference of a system includes detecting a remote alert, identifying at least one feature of the remote alert, determining a plurality of alerts available to the system, mapping the at least one feature of the remote alert and the available alerts to a concept map, and selecting an alert from the plurality of available alerts using the mapping, wherein a selected alert changes a notification preference of the system.

Abstract: A method, computer program product, and system for contextual determination of emotion icons. The method includes, for a particular user, determining an emotion icon to automatically input into a message, based on a class of the user, a current mood of the user, and the recipient of the message. The determined emotion icon is then inserted into the message.

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 set of weather conditions for a region is received. Based on the weather conditions predicting the weather in the region is likely to have a negative effect on at least one living organism in the region. Then dispatching, one or more autonomous devices to the region, wherein the one or more autonomous devices comprise a set of sensors and at least one temperature altering element. The autonomous devices is directed to a first location of the first living organism, based, at least in part on a set of data received from the set of sensors. The autonomous devices is directed to alleviate at least a portion of the negative effect of the temperature to the first living organism.

Abstract: A light bulb replacement system includes a database that stores location data for light bulbs, light bulb type data, and installation history data. A first processor generates a replacement score for each of the light bulbs using at least one of the location data, the type data, and the installation history data; compares the replacement score of each of the light bulbs to a threshold replacement score; and creates a replacement list. The light bulb replacement system includes an automated light bulb replacement vehicle including a first location sensor; a first memory configured to store the replacement list, and store location data, type data, and installation history data corresponding to each light bulb in the replacement list. A second processor navigates the automated light bulb replacement vehicle. A light bulb coupling/decoupling mechanism replaces an existing light bulb with a new light bulb.

Abstract: An unmanned aerial vehicle for aerial transportation of delivery items. The unmanned aerial vehicle includes an attachment device to fasten and unfasten one or more delivery items to the unmanned aerial vehicle, a motor to aerially transport the one or more delivery items along a delivery route, a sensor mounted on the unmanned aerial vehicle to detect at least one environmental variable during the delivery route, and an alert system to generate a status associated with the unmanned aerial vehicle along the delivery route to an observer when the environmental variable exceeds a predetermined threshold.

Abstract: Performing server virtual machine image migration and dependent server virtual machine image discovery in parallel is provided. Migration of a server virtual machine image that performs a workload is started to a client device via a network and, in parallel, an identity is continuously discovered of a set of dependent server virtual machine images corresponding to the server virtual machine image being migrated to the client device. In response to discovering the identity of the set of dependent server virtual machine images, a server migration pattern of the discovered set of dependent server virtual machine images is generated for the workload. A level of risk corresponding to migrating each dependent server virtual machine image of the discovered set of dependent server virtual machine images to the client device is calculated based on the server migration pattern of the discovered set of dependent server virtual machine images for the workload.

Abstract: A method, computer program product, and system for contextual determination of emotion icons. The method includes, for a particular user, determining an emotion icon to automatically input into a message, based on a class of the user, a current mood of the user, and the recipient of the message. The determined emotion icon is then inserted into the message.