Abstract: According to one embodiment, a method, computer system, and computer program product for computing device control. The embodiment may include segmenting an augmented reality (AR) view of an environment of a user into distinct segmented areas of the AR view. The AR view is created by an AR device of the user. The segmenting is performed using the AR device. The embodiment may include mapping a computing device within the environment to a distinct segmented area of the AR view. The mapping results in a user interface (UI) of the computing device being displayed within the distinct segmented area of the AR view. The embodiment may include controlling the computing device via the UI of the computing device displayed within the distinct segmented area of the AR view.

Abstract: A machine learning model repeatedly scans data exhaust for workstations (for which there are retention requirements regarding data exhaust) over a period of time. The machine learning model analyzes the respective data exhaust and the retention requirements to determine respective data exhaust logging parameters for each workstation. The machine learning model monitors respective data exhaust activity for each workstation over a subsequent period of time. An instance is identified in which logging activity of data exhaust for an identified workstation fails the retention requirements. An ameliorative action designed to satisfy the respective retention requirements for the identified workstation is executed.

Abstract: One or more computer processors generate a network fractal based on one or more predicted network conditions for a network that includes a change in user density, user device latency, and network throughput, wherein the network fractal is a deployment template comprised of a plurality of nodes. The one or more computer processors select a configuration of network infrastructure devices placed at each node in the plurality of nodes comprised in the generated network fractal. The one or more computer processors modify the network utilizing the generated network fractal and the selected configuration of network infrastructure devices. The one or more computer processors deploy the modified network.

Abstract: In an embodiment, a correlated forecast is computer generated by a processor that receives input data for historic values of a first input variable, creates forecast data for future values of the first input variable using the historic values of the first input variable, generates diagnostic data based on a diagnostic analysis of the forecast data, creates a first diagnostic variable that includes a first diagnostic value from a first cognitive process, generates a feature vector based on a second cognitive process that determines the feature vector by identifying a correlation between the first diagnostic variable and a second diagnostic variable, and generates a final forecast using the feature vector as an input for a cognitive forecasting process, where the first cognitive process determines the first diagnostic value based on the diagnostic data.

Abstract: A computer-implemented method includes: receiving, by a computer device, preference information from a plurality of people, the preference information including an individual level of preference for various activities for each of the people; receiving, by the computer device, biometric data of the people, the biometric data relating to the various activities; building, by the computer device, a corpus of relationships between the preference information and the biometric data; receiving, by the computer device, biometric data of a user; and predicting, by the computer device, a user level of preference with a particular activity of the various activities, the predicting being based on a comparison of the biometric data of the user and the biometric data of the people who participated in the particular activity.

Abstract: In an approach for derivation of progressively variant dark data utility for legacy system candidate microservices, a processor analyzes a variability of data stored in a legacy system for a plurality of data metrics. A processor measures, for each data metric, a utility of the data using an intra-analysis and a meta-analysis. A processor correlates the plurality of data metrics to candidate microservices. A processor generates insights for the candidate microservices based on the utility of the data.

Abstract: A method, computer system, and a computer program product for modifying XR applications is provided. The present invention may include receiving capability input associated with the capabilities of the user. The present invention may include determining operational requirements of an XR application. The present invention may include determining movement capabilities of the user. The present invention may include generating a movement capabilities profile. The present invention may include determining differences between the operational requirements of the XR application and the movement capabilities profile of the user. The present invention may include modifying the operational requirements of the XR application based on the determined differences. The present invention may include monitoring the user's participation in the XR application with modified operational requirements.

Abstract: A method, computer system, and a computer program product for digital content development is provided. The present invention may include identifying one or more keywords associated with a digital course received from a digital content developer. The present invention may include identifying one or more relevant digital courses of one or more digital learning platforms. The present invention may include analyzing one or more relevant digital courses using one or more analytical techniques. The present invention may include evaluating the course received from the digital content developer. The present invention may include generating one or more new digital courses for each of the one or more digital learning platforms.

Abstract: A computer-implemented method includes: obtaining, by a user device, information defining a navigation path to a destination; and forming, by the user device, protrusions on a display of the user device, wherein a pattern of the protrusions corresponds to the navigation path.

Abstract: Facial scanning data of an authorized user is received for requested access to a computing device. A facial expression of the facial scanning data is determined to match a predetermined facial expression. In response to identifying that the facial expression matches the predetermined facial expression, the computing device is caused to provide a set of functionality that correlates to the predetermined facial expression.

Abstract: A computer device determines requirements of a particular device/service by analyzing designated electronic communications. The computer device then monitors performance of the device/service over a period of time to determine performance of the device/service in meeting those derived requirements. An output regarding the performance of the device/service in meeting those requirements is then generated.

Abstract: A method, a computer program product, and a system for enacting ameliorative resource action during an e-conference. Exemplary embodiments of the present inventive concept may include a method for enacting ameliorative resource action during an e-conference. The method may include collecting data from a user's computer device during the e-conference. Features may be extracted from the collected e-conference data. A user's participation within the e-conference and a resource consumption thereof may be forecasted by applying a user activity model to the extracted features. The ameliorative resource action may be enacted based upon the forecasted user's participation and the resource consumption thereof.

Abstract: Aspects of the present invention disclose a method for managing aggregated comments of a forwarded media based on the sentiments of the forwarded media and relevance to a user. The method includes one or more processors identifying a user based at least in part on information provided by the user. The method further includes accessing user activity data utilizing the information provided by the user. The method further includes generating a first profile corresponding to the user based at least in part on the user activity data. The method further includes determining one or more preferences of the user based at least in part on the generated first profile. The method further includes identifying segments of textual data of forwarded media the user receives based at least in part on the preferences of the user, wherein the textual data corresponds to a comment associated with the forwarded media.

Abstract: A method, computer system, and a computer program product for weather station placement design are provided. Weather data measured at weather stations, current location data regarding current locations of the respective weather stations, and weather forecast data generated by a weather forecast model are received. Forecast performance by the weather forecast model is determined by comparing the weather data to the weather forecast data and so that first weather stations where the weather forecast model had best forecast performance are identified. A weather forecast performance map is generated based on the identified first weather stations. Fractals are generated. The fractals are iteratively matched to the weather forecast performance map to identify a first fractal that most closely matches a layout of the current locations of the first weather stations. A first fractal map that includes the first fractal overlaid on the weather forecast performance map is presented.

Abstract: Embodiments of the present invention provide computer-implemented methods, computer program products and computer systems. Embodiments of the present invention can predict that one or more objects affects media capture using one or more sensors of a media capture device. Embodiments of the present invention can then determine whether at least one object of the one or more objects is appropriate based, at least in part, on a comparison to an object database used to classify appropriateness for context. Embodiments of the present invention can then determine one or more corrective actions to avoid at least one object determined to be inappropriate from being within the media capture device's field of view.

Abstract: A method, computer system, and a computer program product for digital content development is provided. The present invention may include identifying one or more keywords associated with a digital course received from a digital content developer. The present invention may include identifying one or more relevant digital courses of one or more digital learning platforms. The present invention may include analyzing one or more relevant digital courses using one or more analytical techniques. The present invention may include evaluating the course received from the digital content developer. The present invention may include generating one or more new digital courses for each of the one or more digital learning platforms.

Abstract: In an approach for monitoring data usage in an IoT network, a processor identifies a set of IoT devices. A processor collects a set of baseline readings for the set of IoT devices. A processor collects a set of IoT data from the set of IoT devices as a user answers a survey question. A processor compares the set of baseline readings to the set of IoT data. A processor derives an emotional state of the user while answering the survey question. A processor builds a CART model using the set of baseline readings, the set of IoT data, and a set of survey data. A processor applies the emotional state as a weight to the CART model. A processor outputs the weighted CART model.

Abstract: A processor may load one or more potential updates to a trusted source from an identified trusted source. The processor may determine acceptable update windows. The processor may apply at least one of the one or more potential updates to the computing device. The processor may identify if a steady state has been reached. The processor may determine whether the at least one update has succeeded.

Abstract: Embodiments for a method, computer system, and computer program product for vehicle maintenance prediction are provided. The embodiments may include receiving a course of a vehicle to navigate across a roadway. The embodiments may also include identifying one or more contextual changes as the vehicle navigates across the roadway. The embodiments may further include calculating an impact to vehicle maintenance due to vehicle traversal of the roadway based on the identified contextual changes. The embodiments may also include predicting a value associated with vehicle maintenance based on the calculated impact and the calculated cost.

Abstract: For securing a physical environment, an intersection determination is performed using a first record of a first person and a second record of a second person, to determine whether a travel plan of the first person and a travel plan of the second person intersect at a location and a time. When the intersection determination is affirmative, an analysis is performed whether a first object associated with the first person and a second object associated with the second person are combinable to form a combined object having a combined property. When the combined property is designated as harmful in the physical environment, a suspicion indication is outputted. The suspicion indication includes an identity of the first person, an identity of the second person, and a level of suspicion.