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: Methods and systems for predicting injury risk include generating state sequences that precede a hazard event based on information regarding a user's state. A cognitive suite of workplace hygiene and injury predictors (WHIP) is generated based on the state sequences using a processor. The cognitive WHIP predicts a degree of risk correlated with each particular user state sequence. An advantageous relationship between the user and one or more socially connected users is determined. An ameliorative action is triggered when a user enters a high-risk state based on the advantageous relationship to the one or more connected users and proximity of the user to one or more other users.

Abstract: A device may capture one or more images. The device may automatically sort the one or more images into a save category and a delete category. The device may predict an action of a user towards the one or more images in the save category. The device may rank the one or more images in the save category based on the predicted action of the user. The device may display a first image to the user. The first image may have a highest rank among the one or more images in the save category.

Abstract: Methods and systems for predicting injury risk include generating state sequences that precede a hazard event based on information regarding a user's state. A cognitive suite of workplace hygiene and injury predictors (WHIP) is generated based on the state sequences using a processor, wherein the cognitive WHIP predicts a degree of risk correlated with each particular user state sequence. A risk heat map of a workplace is generated based on the cognitive WHIP that encodes regions of greater and lesser risk. An ameliorative action is triggered when a user moves into an area of high risk based on the heat map.

Abstract: A method and system are provided. The method includes generating, by a server having a processor, temporal and event based risk predictions for each of a plurality of workers at a workplace, using a prediction window of a work shift. The method further includes creating, by the server having the processor, a work schedule for the plurality of workers that is optimized to maintain a cumulative workplace risk below a given threshold, based on the temporal and event based risk predictions.

Abstract: A computer system receive a virtual world data set corresponding to a virtual world as experienced by a user. The computer system adds, to the virtual world data set, virtual world location data sets, with each given virtual world location data set respectively defining virtual world locations, with the virtual world location data sets including a first virtual location data set corresponding to a first virtual location that corresponds to a first real world location in the real world. The computer system adds, to the virtual world data set, a first virtual asset data set defining: (i) a first virtual asset, and (ii) a triggering rule that specifies the first real world location. The computer system determines that the user is in proximity to the first real world location. The computer system, responsive to the determination that the user is in proximity to the first real world location, applies the triggering rule to render the first virtual world asset in the first virtual location.

Abstract: A method, system, and/or computer program product controls operations of an aerial drone within a predetermined airspace. One or more processors detects that the aerial drone has entered a predetermined airspace, and also determines a physical size of the aerial drone. In response to detecting that the aerial drone has entered the predetermined airspace, one or more processors directs the aerial drone to alter a velocity of the aerial drone based on its physical size.

Abstract: A method, computer program product, and/or computer system controls icon movement behavior on a graphical user interface. A file hosting icon and a data file icon are displayed on a graphical user interface (GUI). The file hosting icon represents a file hosting service, and the data file icon, which is capable of being moved towards the file hosting icon on the GUI to initiate storage by the file hosting service, represents data. The behavior of movement of the data file icon is adjusted according to a position of the data file icon relative to a position of the file hosting icon on the GUI, and based on predefined features of the data relative to predefined features of the file hosting service.

Abstract: A system and method tracks touches in a healthcare environment in order to analyze paths of transmission and contamination for the purpose of eliminating and containing transmission of colonizing, drug-resistant pathogens. Touches are identified and tracked with the use of recording devices. Each touch is logged and a touch graph is generated to identify transmission paths.

Abstract: An implantable device coupled with an integrated circuitry, is operable to receive signals representing a human body action. The implantable device may be further operable to authenticate the signals. Responsive to authenticating the signals, the implantable device may be further operable to perform a device action associated with the implantable device. The implantable device may include a medical device that detects physical conditions of a body.

Abstract: A system and method to perform incremental adaptive modification of a virtual reality image involve obtaining sensor measurements from sensors coupled to an individual who is performing a task while viewing the virtual reality image. The method includes generating a true model of the individual from the sensor measurements, comparing the true model with an expert model obtained from another individual performing the task, and developing a lesson plan based on determining a difference between the true model and the expert model. The developing the lesson plan includes determining a gradient of intermediate models within the difference. A different one of the intermediate models is included iteratively along the gradient from the true model to the expert model in the virtual reality image.

Abstract: A computer-implemented method, system, and/or computer program product controls a driving mode of a self-driving vehicle (SDV). One or more processors compare a control processor competence level of an on-board SDV control processor in controlling the SDV to a human driver competence level of a human driver in controlling the SDV while the SDV encounters a current roadway condition which is a result of current weather conditions of the roadway on which the SDV is currently traveling. One or more processors then selectively assign control of the SDV to the SDV control processor or to the human driver while the SDV encounters the current roadway condition based on which of the control processor competence level and the human driver competence level is relatively higher to one another.

Abstract: Disclosed herein is a system and method for data collection in a virtual universe. The system can determine a first virtual universe object in a virtual universe comprises a first data source for a first data feed. The system can determine a first trigger event associated with the first data source. The system can determine permission has been granted to access the first data feed. The system can in response to determining permission has been granted to access the first data feed: determine to capture first data from the first data feed in response to a second virtual universe object performing the first trigger event; determine to create a first data feed file comprising the first data and first information related to the second virtual universe object; and determine to transmit the first data feed file to a user device associated with the first virtual universe object.

Abstract: A method of avoiding harmful chemical emission concentration levels, the method comprising implementing a cognitive suite of workplace hygiene and injury predictors (WHIP) that has learned to identify chemical emission sources and indicators of harmful chemical emission concentration levels, detecting an indicator, and implementing a corrective action by at least one of altering the operation of a chemical emissions source, modifying a time of a scheduled task, or changing prescribed personal protective equipment.

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

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 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 system and method that includes identifying a change in condition of a working environment. Educational content relevant to an educational category of the change in condition is retrieved. A skill gap of a team member associated with the working environment is calculated by comparing an existing educational training received by the team member relevant to the educational category with the educational content retrieved in response to identifying the change in condition. A custom education plan is built to resolve the skill gap of the team member.