Abstract: In a given computing node comprising at least one processor operatively coupled to a memory and implemented in a given vehicle, the method comprises obtaining at the given computing node data from at least one of: (i) one or more sensors on the given vehicle; (ii) one or more computing nodes associated with one or more other vehicles via at least one vehicle-to-vehicle communication protocol; and (iii) one or more data sources along the path of the given vehicle. The given computing node utilizes at least a portion of the obtained data to compute a risk assessment for the given vehicle with respect to an operational safety level of a proposed vehicle action. The given computing node initiates or prevents the proposed vehicle action for the given vehicle based on the computed risk assessment.

Abstract: A vehicular alert system includes an autonomous aerial vehicle and a central computer. The autonomous aerial vehicle includes a processor, a display, and a detector. The processor controls a data transceiver. The detector detects one or more vehicular condition. The central computer communicates with the autonomous aerial vehicle via the data transceiver. The central computer includes a memory device. The memory device stores vehicular condition data and road condition data. The central computer communicates one of a vehicular condition or a road condition to the autonomous aerial vehicle. The processor of the autonomous aerial vehicle displays the received condition on the display.

Abstract: A computer-implemented method tracks and maintains a record of telecommunication device events using a blockchain that is supported by a peer-to-peer network. One or more processors detect one or more events at a telecommunication device, and then transmit a transaction of the one or more events from the telecommunication device to multiple remote computing devices that are part of a peer-to-peer network, which supports a blockchain that includes a block that includes the transaction of the one or more events.

Abstract: A bot conflict-resolution service agent (BCRSA) for addressing conflicts between bots in a target domain is disclosed. The BCRSA is configured to receive data from a target domain that includes changes made to a content of the target domain, analyze the data to identify a first change made to the content by a first bot and a second change made to the content by a second bot, determine based on the analysis that the first and second changes conflict, determine that the first and second bots are in conflict, select an amelioration action to be executed to resolve the conflict between the first and second bots from a plurality of available amelioration actions, and resolve the conflict by executing the selected amelioration action.

Abstract: An unmanned aerial vehicle for providing ameliorative action. The unmanned aerial vehicle includes a processor-based monitoring device to monitor a plurality of individuals to determine crowd data associated with the plurality of individuals, a crowd estimator configured to receive the crowd data to estimate a crowd pressure estimation value indicative of a likelihood of a crowd event, the crowd pressure estimation value being based on the crowd data, and an ameliorative action generator to automatically perform a function when the crowd pressure estimation value exceeds a predetermined threshold value, wherein the function includes activating one or more feedback outputs configured to provide an ameliorative action.

Abstract: A method, system, and/or computer program product controls a self-driving vehicle based on a purchase transaction at a point of sale (POS) device. One or more processors detect a purchase transaction at the POS device. In response to detecting the purchase transaction at the POS device, the processor(s) transmit instructions to the SDV to pick up a passenger associated with the purchase transaction at a predetermined location.

Abstract: A computer implemented method, system and computer program product for a receptionist function in vehicles for communications management, such as phone call and texting management, includes determining driving context of a moving vehicle, estimating a risk factor related to the operation of the vehicle based on the driving context, receiving an incoming communication directed to a mobile communication device within the vehicle, analyzing the incoming communication to determine a communication factor representing an assessment of the incoming communication, and determining an electronic action in response to the incoming communication based on the driving context, the risk factor and the communication factor.

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: An object recognition system includes a parameter generator for generating a parameter that indicates whether an object depicted in an image pair is the same or different object, and a pose difference for the image pair and a parameter refiner for refining the parameter, and an applicator for applying the refined parameter to object recognition.

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: 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 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: 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: Techniques that facilitate an orchestration engine using a blockchain for a cloud resource digital ledger are provided. In one example, a system includes an orchestration engine component and a blockchain component. The orchestration engine component manages one or more computing resources for a cloud-based computing platform. The blockchain component adds event data indicative of an event associated with the one or more computing resources into a blockchain dataset for the cloud-based computing platform. The blockchain dataset comprises a sequence of data blocks that corresponds to a sequence of events for the cloud-based computing platform.

Abstract: Systems and methods for establishing an ad-hoc collaboration between unmanned aerial vehicles (UAVs) are provided. A method includes: configuring intent data of a first UAV using a controller of the first UAV; configuring a collaboration plan for the first UAV and a second UAV based on a determination of a shared intent between the first UAV and the second UAV; executing the collaboration plan by flying the first UAV and gathering data using the first UAV based on the collaboration plan; and sharing the gathered data with an operator of the second UAV.

Abstract: A computing problem management method, system, and non-transitory computer readable medium, include detecting an impending problem of the computing system, spawning a plurality of replicas when detecting the impending problem, introducing a plurality of new impending problems on the plurality of replicas for the launching to launch versions of an action to resolve, and learning a version that resolves each of the plurality of new impending problems.

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: 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: A method steers a self-driving vehicle (SDV) onto a particular tire path on a roadway based on what type of tires are on the SDV. The method determines a pattern of tire path usage by vehicles on a roadway, and a type of tire upon which the SDV is riding. The method then directs an on-board computer on the SDV to drive the SDV on at least one specific tire path on the roadway based on the pattern of tire path usage by the vehicles on the roadway and the type of tire upon which the SDV is riding.