Abstract: A determination is made via a computational device of an activity being performed by an entity in a virtual reality environment. An electronic subscriber identification module (eSIM) of a communications device of the entity is reconfigured in the virtual reality environment, in response to the determination of the activity being performed by the entity in the virtual reality environment.

Abstract: A computer-implemented method, in accordance with one aspect of the present invention includes, during movement of a vehicle, monitoring for a predetermined condition corresponding to potential presence of an animal on a roadway. In response to detecting the predetermined condition, a representation of at least a portion of the moving vehicle is projected for virtually increasing a visual size of the vehicle. The projected representation (also referred to as a projection) has a dimension that is greater than the portion of the moving vehicle corresponding to the representation.

Abstract: A method of effectuating abnormal bone curvature treatment using a generative adversarial network (GAN) is provided. The method includes training the GAN using treatment data for each of a plurality of abnormal bone curvature patients. The treatment data for each abnormal bone curvature patient includes a plurality of radiologic images taken during at least a partial treatment period and at least one orthotic used during the at least partial treatment period. An abnormal bone curvature is identified in a radiologic image for a new patient using the trained GAN. A plurality of artificial radiologic images is generated corresponding to different points in a treatment period of the new patient using the identified abnormal bone curvature and the corresponding radiologic image for the new patient as inputs to the trained GAN.

Abstract: According to an aspect, a computer-implemented method includes identifying applications in a network environment that perform periodic data extraction and data transmission operations and identifying a frequency and a data transmission load for each of the operations. Aspects also include predicting an available bandwidth in the network environment based at least in part on the periodic data extraction and data transmission operations and based on a determination that the available bandwidth in the network environment will fall below a threshold value during a time interval instructing the applications to modify the one or more of the periodic data extraction and data transmission operations to increase the frequency associated with the one or more of the periodic data extraction and data transmission operations.

Abstract: Computer-implemented methods for wireless power transfer among multiple vehicles are provided. Aspects include identifying a group of vehicles, from a plurality of vehicles, that require charging and identifying a wireless charging capability of each vehicle of the group of vehicles. Aspects also include deploying wireless power chargers to the vehicles of the group of vehicles that do not have wireless charging capability and charging each vehicle of the group of vehicles using a wireless power transfer module. The charging of the group of vehicles is performed while the vehicles are in motion.

Abstract: A computer-implemented method according to one embodiment includes displaying an avatar associated with a second user on an augmented reality (AR) lens of a first communication device, in response to receiving, on the first communication device worn by a first user, a notification from a second communication device of the second user. The first user is monitored for a predetermined gesture. In response to a determination that the first user performs a first predetermined gesture, an action associated with the first predetermined gesture is performed by the first communication device. The method further includes outputting a response associated with the first predetermined gesture. The response indicates an availability of the first user to communicate with the second user.

Abstract: Disclosed embodiments provide techniques for monitoring, detecting, predicting, and mitigating electrostatic electricity accumulation. Electrostatic electricity is detected within a premises, via multiple electrostatic electricity sensors. The electrostatic electricity sensors, also referred to as electrostatic charge sensors can detect electrostatic electricity and/or electrostatic potential. Disclosed embodiments acquire electrostatic electricity data from multiple sensors. Other mechanical activity is also acquired via sensors and/or computer vision techniques. The mechanical activity can include motion of machines and/or people. Disclosed embodiments correlate levels of electrostatic electricity data to mechanical activity using machine learning. The machine learning system is used to predict future levels of electrostatic electricity based on proposed and/or mechanical activity, as well as automatically invoke mitigation steps and generate alert messages.

Abstract: A computer implemented method for spacing vehicles. A computer system simulates the vehicles moving on a road using a simulation system. The computer system determines an energy of the vehicles moving on the road using the simulation system. The computer system determines a desired spacing for the vehicles needed to reduce an undesired vehicle contact in response to an unexpected change in driving parameters for a number of the vehicles based on the energy of the vehicles moving on the road using the simulation system. The computer system performs a set of actions for the vehicles using the desired spacing determined for the vehicles.

Abstract: A system for layer-by-layer three-dimensional (3D) printing of a 3D printed object. The system includes a printing component configured to print a plurality of layers to form the 3D printed object, a surface modification component configured to be co-operable with the printing component and configured to apply an appropriate degree of surface roughness to at least one of the plurality of layers after being printed, and a controller configured to identify parameters of each of the at least one of the plurality of layers and configured to control operation of the printing component and the surface modification component, wherein the parameters include the appropriate degree of surface roughness.

Abstract: A computer-implemented method, system and computer program product for efficient resource utilization. A workflow of manufacturing a product using various machines at each plant of an organization is created, where the workflow illustrates which machines are utilized to produce the product using one or more raw materials. A production rate for the product at each plant manufacturing the product is predicted based on the workflow. An amount of a raw material required by a first plant to produce the product is determined based on the predicted production rate for the product at the first plant. An amount of the raw material is then routed to the first plant from one or more other plants based on minimizing the system inventory carrying cost and minimizing the system transportation cost if the first plant needs an additional amount of the raw material to realize the predicted production rate for the product.

Abstract: A valid combination of products is constructed from a set of products identified by a retailing backend system. The valid combination satisfies a condition of an offer. A product in the combination of product is a physical product located in a physical store. A social sentiment towards the product in social media data of a shopper is evaluated, and a rating of the product is computed using the evaluation. A location of the product in the store is obtained from the retailing backend system. The location of the product is overlaid on a view of the store, where the view is from a perspective of a location of the shopper, the shopper being physically situated in the store.

Abstract: Embodiments of the present invention can be used to in response to receiving information, dynamically detecting an event associated with a user. Embodiments of the present invention can then, in response to dynamically detecting an event associated with the user, creating a visual simulation of the detected event.

Abstract: An opt-in from at least one user of a plurality of users associated with at least one tool of a plurality of tools is received. An authentication associated with a first opted-in user of the plurality of users associated with an access of a first tool of the plurality of tools is determined. A set of credentials required to operate the first tool associated with the first opted-in user is verified. A request to an Internet of things (IoT) receiver device is transmitted. A response from an IoT transmitter device is received. In response to determining that the first user is utilizing required equipment to operate the first tool, power to the first tool is supplied.

Abstract: A system, method, and computer program product perform audio-visual inspection at a surface of a liquid over machinery that is operating under the surface. The audio-visual inspection includes each of feeding surface wave movements into a neural network, feeding bubble formation pattern into the neural network, feeding bubble dimensions into the neural network, and feeding underwater acoustic information to the neural network. The system, method, and computer program product further identify, using the neural network, a statistical anomaly from the audio-visual inspection indicating an anomaly of the performance of the machinery.

Abstract: A method is provided for identifying topography in a locality. The topography includes horizontal surfaces and vertical surfaces. Sunlight exposure incident to the identified topography is identified. The intensity of the identified sunlight exposure and variation over time is analysed. Crop types for growing on the topography based on the analysed intensity of sunlight exposure and variation over time are identified.

Abstract: Methods and systems for mobile automation control of disease spread are disclosed. A computer-implemented method includes: determining, by a computing device, a health status of a person; determining, by the computing device, that the person is sick based on the health status; determining, by the computing device, facial and body movements of the person determined to be sick; determining, by the computing device, that the person determined to be sick performed a germ-transmitting activity based on the facial and body movements; and deploying, by the computing device, a cleaning robot to clean based on the determining that the person determined to be sick performed the germ-transmitting activity.

Abstract: Managing a package delivery system deploying an unmanned vehicle including an inflatable unit for reducing package vibration in a transportation vehicle. Package data is received at a computer, and the package data includes package descriptions. Spatial positioning of the packages in the transport space is tracked to determine, spatial positioning changes between the packages in the transport space based on the package data received at the computer and the transport. One or more unmanned vehicles are delivered to the transport space based on the spatial positioning changes in the transport space, and the unmanned vehicles including inflatable units. The inflatable units are deployed in the transport space by inflating the inflatable units at locations in the transport space based on the spatial positioning changes to discourage package movement in the transport space.

Abstract: Embodiments of the present invention provide an approach for providing in-vehicle predicted context-based proactive driving training using an autonomous vehicle. A knowledge corpus is established from a driver's previous driving experience. A potential driving context (or scenario) is identified for a forthcoming driving route. An experience gap analysis is performed between the driver's experience and the potential driving context. If an experience gap exists, an in-vehicle mixed reality driving training simulation is provided in a selected location by the autonomous vehicle. The driver's responses to the training simulation can optionally be monitored and a determination can made based on the driver responses as to the suitability of the driver to safely address the potential driving context.

Abstract: A method and system provide computer system security for a focus computer system (FCS). The method comprises creating a security digital twin (SDT) for the FCS with an associated security ontology for the FCS. A potential threat analyzer receives a potential threat object (PTO), and maps it to an enterprise attack vector pattern. The method further comprises searching, on another computer system (OCS) for a predicted attack pattern having a similar pattern to the enterprise attack vector pattern. Conditioned upon finding the predicted attack pattern, and using a potential threat handler locating an action mitigation plan (AMP) related to the predicted attack pattern in the data fabric associated with the OCS, the method further comprises copying the OCS predicted attack pattern to an FCS predicted attack pattern store, copying the OCS AMP to an FCS AMP store, and defending the FCS from the PTO using the AMP.

Abstract: Method and system for a cochlear implant that includes receiving, by a processor, an electric audio signal; processing, by the processor, the electric audio signal, thereby providing a processed electric audio signal; receiving, by a transducer driver, the processed electric audio signal; transmitting, by the transducer driver, the processed electric audio signal to electro-acoustic transducer elements that are at least arranged within a cochlea; and vibrating at least one electro-acoustic transducer element of the electro-acoustic transducer elements in response to the at least one electro-acoustic transducer element receiving the processed electric audio signal, thereby providing a vibrating stimulus based on the processed electric audio signal.