Abstract: Embodiments include methods, systems and computer program products for monitoring a person for a traumatic brain injury. Aspects include monitoring a gait of the user with one or more accelerometers embedded in the uniform and analyzing, by a processor, one or more characteristics of the gait of the user. Aspects also include determining whether the one or more characteristics of the gait indicate that the user may have suffered the traumatic brain injury and creating an alert that the user of the helmet may have suffered the traumatic brain injury.

Abstract: Techniques for facilitating the autonomous presentation of a self-driving vehicle are provided. In one example, a method can include a system operatively coupled to a processor, where the system: determines a feature of a self-driving vehicle based on information regarding an entity in a pending transaction; determines a task to be performed by the self-driving vehicle based on the feature; and generates an instruction for the self-driving vehicle to perform the task.

Abstract: An example operation may include one or more of receiving sensor data from one or more sensors associated with a building, storing a block including the sensor data to a shared ledger of a blockchain network, the one or more sensors associated with one or more buildings, requesting a risk assessment for the sensor data, by a blockchain node, calculating the risk assessment with one or more machine learning algorithms based on the sensor data, historical sensor blockchain data, importance of the one or more sensors, and a degree of concern related to the sensor data, providing the risk assessment to the blockchain node, and generating an alert in response to the risk assessment above a threshold.

Abstract: Method, system, and computer product for operating a self-driving vehicle (SDV). The SDV receives information from a calendar entry of a passenger's schedule about an event at a destination location to which the SDV is to drive the passenger to. The SDV sensors detect one or more behaviors or cognitive states of the passenger while in the vehicle. The SDV determines an optimal arrival time at the destination location based on the user's schedule information and the user's behavior or cognitive state; and further alters the driving speed or route taken by the SDV based on the determined optimal arrival time and an estimated travel time. The reshaping of the SDV driving characteristics is based on calendar information received including: an event meeting time, event topic, attendees, event importance. A detected passenger behavior can include talking on a phone, reading, or being in a tired, sleeping, agitated or nervous state.

Abstract: A method configures and maneuvers a self-driving vehicle to deliver a charitable item. One or more processors receive a first message indicating that a donor has a charitable item available for pickup from a pickup location, and a second message indicating that a recipient at a delivery location has a need for the charitable item. The processor(s) match the charitable item to a self-driving vehicle (SDV) that is configurable to transport the charitable item from the pickup location to the delivery location. In response to a risk analysis concluding that a level of a need for the charitable item is greater than a risk to the charitable item and the SDV when transporting the charitable item to the delivery location, the processor(s) modify one or more physical components of the SDV in order to transport the charitable item from the pickup location to the delivery location.

Abstract: In a computer-implemented method embodiment of the present invention, a self-driving vehicle (SDV) is steered onto a particular tire path on a roadway based on past taken tire paths. One or more processors determine a pattern of tire path usage by vehicles on a roadway. Based on this previous tire path usage, the processor(s) direct an SDV on-board computer on an SDV to pick at least one second tire path for the SDV to drive thereon based on the pattern of tire path usage by the vehicles on the roadway.

Abstract: A computing problem management method, system, and non-transitory computer readable medium, include detecting an impending problem of a computing system, spawning a plurality of replicas when the detecting detects the impending problem, and launching a plurality of versions of an action, each version being launched and performed on a different replica of the plurality of replicas.

Abstract: An exercise chatbot control method through augmented reality, system, and computer program product for controlling an exercise machine including a chatbot include determining a context of a user on the exercise machine via a sensor, learning an effectiveness of an activity for the user using the exercise machine, dynamically configuring the activity for the user on the exercise machine and a level of performance of the activity to an ideal activity level based on a user profile, the context of the user, and the effectiveness of the activity for the user, and providing an output including the ideal activity level from the chatbot to the user.

Abstract: An example operation may include one or more of receiving, by a blockchain node, a request to transfer an asset, generating a blockchain transaction, obtaining one or more rules from a smart contract corresponding to a smart contract identifier, and comparing one or more parameters to the one or more rules to obtain a risk level. In response to the risk level being greater than a threshold, the example operation includes not executing the blockchain transaction. In response to the risk level not being greater than the threshold, the example operation includes executing the transaction. The request includes the smart contract identifier and the one or more parameters. The asset includes one of a trade item or a service to be performed. The blockchain transaction includes the smart contract identifier and the one or more parameters.

Abstract: Aspects of the present disclosure relate to an autonomous mobile attenuator system for mitigating vehicular collisions. The system includes one or more mobile attenuators that receive data indicating a need for deployment from one or more sensors. The one or more mobile attenuators perform a collision risk assessment on the received data to determine a probability of a potential vehicle collision. The one or more mobile attenuators determine the probability of the potential vehicle collision exceeds a predetermined risk threshold value. The one or more mobile attenuators determine a predicted location for the potential vehicle collision. The one or more mobile attenuators proceed to the predicted location to mitigate the potential vehicle collision.

Abstract: Selecting and displaying a profile photo may include determining viewer characteristics of a viewer who is triggering an action to open an image file that shows a photo image. A context associated with viewing of the profile photo and photo image characteristics of a plurality of photos may be determined. Based on the viewer characteristics, the photo image characteristics and the context associated with viewing of the profile photo, a photo from the plurality of photos may be selected. Responsive to determining that the selected photo is to be transformed, a transformed version of the photo image may be generated and displayed.

Abstract: A first region of interest is determined by user input to a map interface. A set of locations of items of interest is determined located proximate to the region of interest. A background and a first set of representations are presented against the background on the device display according to a location and an orientation of the device, each representation of a respective item of interest located in the first region of interest.

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: An application processing system for placing applications and their associated data into a colocation data center, wherein an application placement module is configured to perform the method of steps including: constructing a facility communication node graph; constructing a composite elastic map which represents the compute nodes in the colocation data center; associating a force function between two nodes based on communication bandwidth; constructing an application usage data space; inserting the node graph into the application data space; assigning the applications to the compute nodes; associating a force function between each application and each compute node based on the assignment; determining an elastic map energy (EME) for the elastic map, wherein the EME is the total energy of the system; and assigning the real-world applications to the real-world compute nodes in the data center if the EME is less than a threshold energy.

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: Recommending a recipe and monitoring the preparation of the recipe according to a calendar by a computer that receives calendar data that includes one or more of: a date, scheduled appointment times for the date and appointment durations, any special events on the date, and proximity of the date to a holiday. The computer identifies one or more recipes that can be prepared in an available time slot in the calendar, the one or more recipes includes a list of food from a food ingredient list and monitors data, including length of time to complete a preparation step of the selected recipe. Responsive to the length of time increasing by more than a threshold value, the computer adjusts one or more subsequent preparation steps of the selected recipe to compensate for the increase to the length of time and/or the calendar to provide a longer available time for recipe preparation.

Abstract: An unmanned aerial vehicle for determining geolocation exclusion zones of animals. The unmanned aerial vehicle includes a processor-based monitoring device to track geolocation information associated with an animal from the unmanned aerial vehicle, an identification device mounted on the unmanned aerial vehicle to identify the animal and to track a position of the animal over time, and a mapping device coupled to the monitoring device to determine locations where the animal has traversed and to identify where an encounter with the animal is reduced.

Abstract: A system and method in a virtual universe system for triggering scans of virtual items and inventories of virtual items and for scanning the virtual items and inventories wherein the scans may be triggered by an avatar moving or teleporting from one region to another, or by an avatar picking up, dropping off, or accepting or purchasing an item. The degree of scanning may depend upon factors such as location where these scan triggers occur. The signature of the item may be identified by the scan process. The item signature may be compared against signatures of known malicious items stored in an inventory item signatures database and a summary of the signature comparison may be sent to a resident and stored in the resident's inventory.

Abstract: A secure chain of data blocks is maintained at a given computing node, wherein the given computing node is part of a set of computing nodes in a distributed network of computing nodes, and wherein each of the set of computing nodes maintains the secure chain of data blocks. The secure chain of data blocks maintained at each computing node comprises one or more data blocks that respectively represent one or more transactions associated with an unmanned aerial vehicle (UAV). At least one data block is added to the secure chain of data blocks maintained at the given computing node in response to determining that transaction data associated with the at least one data block is valid.

Abstract: Systems and methods provide at least one software application to users from a software monitor computer server. The software application requires a license grant for use. The software monitor computer server tracks usage of the software application to develop historical use patterns. The software monitor computer server also receives calendar input from electronic calendars of the users and analyzing the calendar input to identify future calendared uses of the software application. This allows the software monitor computer server to predict the future license grant needs of the software application based on the historical use patterns and the future calendared uses of the software application. The software monitor computer server also provides substitute software applications to the users when an insufficient number of license grants are available to meet the future calendared uses of the software application.