Abstract: A communication management resource monitors delivery of content over a wireless network. In response to detecting a condition indicating a temporary or long term need for (additional or initial) wireless services in a first geographical region, the communication management resource deploys a mobile wireless base station in the first geographical region to support the need for wireless services.

Abstract: One example of a computer-implemented method of adjusting vehicle sensitivity comprises receiving, at a first vehicle, a vehicle profile of a second vehicle. The vehicle profile of the second vehicle correlates measured responses of one or more actuators on the second vehicle to measured user control inputs on the second vehicle. The method further comprises receiving a user control input for the first vehicle; and modifying a response of one or more actuators on the first vehicle to the received user control input based on the received vehicle profile of the second vehicle such that the one or more actuators on the first vehicle mimic the one or more actuators on the second vehicle.

Abstract: Disclosed embodiments provide techniques for providing vehicular recommendations based on driver habits. Embodiments utilize a variety of input data, including, but not limited to, static vehicular data, dynamic vehicular data, and/or environmental data. In embodiments, empirical rules are used to adjust recommended maintenance schedules based on the input conditions. Additionally, the adjusted recommendations along with unscheduled maintenance data are input to a machine learning system, such as a neural network. The machine learning system is used to further revise the maintenance schedule, estimate end of life of the vehicle, and issue recommendations for when to sell a vehicle and recommendations on attributes of a new vehicle for acquisition.

Abstract: A user may be aided in modifying a product that is an assemblage of parts. This aid may involve a processor obtaining images of a target part captured by the user on a mobile device camera. The processor may compare, based on the captured images and a plurality of images of identified parts, the target part to the identified parts. Based on the comparison, the processor may determine an identity of the target part. This aid may also involve a processor obtaining images of a first configuration of a partial assembly of the product captured by a mobile device camera. The processor may compare, based on the captured images, the first configuration to a correct configuration of the partial assembly. Based on the comparison, the processor may determine that the first configuration does not match the correct configuration and may notify the user accordingly.

Abstract: A processor may receive procedure data regarding a medical procedure. The processor may receive patient data regarding a patient intended to receive the medical procedure. The processor may identify, using an artificial intelligence (AI) model, features of the data related to performance of the medical procedure on the patient. The processor may analyze the relation of the features to locations for performance of the medical procedure. The processor may determine one or more locations for the performance of the medical procedure. The processor may output the one or more locations for the performance of the medical procedure to a display.

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: In an approach to resource monitoring and allocation recommendation, a computer determines a work activity for a risk assessment. A computer determines one or more resources assigned to the work activity. A computer determines one or more current activities associated with the one or more resources assigned to the work activity. Based on the one or more resources assigned to the work activity and on the one or more current activities associated with the one or more resources assigned to the work activity, a computer determines a confidence level associated with successful completion of the work activity. A computer determines the confidence level does not exceed a pre-defined threshold. A computer determines one or more resource scenarios to improve the confidence level. A computer ranks the one or more resource scenarios. A computer generates a resource allocation recommendation based on the ranked one or more resource scenarios.

Abstract: A method for providing active fall prevention assistance to a user. The method includes one or more computer processors mapping a work area where a user performs a plan of tasks. The method further includes determining a safety configuration related to the user and the task. The method further includes instructing an autonomous device to attach a first tether between a first anchor point and a safety harness secured to the user. The method further includes analyzing real-time images of the work area and the user while the user performs the task. The method further includes determining that the user is at risk of falling. The method further includes responding to determining that the user is at risk of falling by instructing the autonomous device to attach a second tether between a second anchor point and the safety harness secured to the user.

Abstract: In an approach for enabling multiple users to make e-commerce purchases from interactive advertisements using wearable device gestures, a processor identifies a wearable device attempting to pair with a smart display. A processor verifies a user wearing the wearable device is an authenticated user. A processor detects a gesture made by the user based on a sensor of the wearable device. A processor identifies an action the gesture is mapped to. A processor determines whether the user is authorized to complete the action mapped to the gesture detected. Responsive to determining that the user is authorized to complete the action mapped to the gesture, a processor completes the action the gesture is mapped to.

Abstract: A method, computer system, and a computer program product for cultivation feedback is provided. The present invention may include performing one or more parameter readings of one or more consumer products and storing the one or more parameter readings on a blockchain. The present invention may include determining a correlation between the one or more parameter readings and the one or more properties of the one or more consumer products. The present invention may include receiving feedback on the one or more consumer products from one or more users. The present invention may include providing one or more recommendations based on the feedback received.

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: An image processing system receives blurred images of a viewer viewing a display screen. At least a portion of the images are blurred to protect privacy of the viewer. The image processing system monitors motion of the viewer in the blurred images. Based on the monitored motion, the image processing system stores data indicating a reaction of the at least one viewer viewing content displayed on the display screen. For example, if the image processing system detects that motion in the blurred image is a person no longer viewing a display screen, the image processing system stores data indicating that the person is not interested in the content. Conversely, if the image processing system detects that the blurred image is a person who watches the content in its entirety, the image processing system assumes that the person is interested in the content.

Abstract: A process for the continuous production of either acrolein or acrylic acid as the target product from propene comprising a catalyzed gas phase partial oxidation of propene to yield a product gas containing the target product, transferring the target product in a separating zone from the product gas into the liquid phase and conducting out of the separating zone a stream of residual gas the major portion of which is returned into the partial oxidation and the remaining portion of said stream is purged from the process as off-gas from which synthesis gas can be produced or which can be added to synthesis gas produced otherwise.

Abstract: In an approach for a user research cognitive assistant for matching personas and providing experience insights, a processor receives persona data based on user experience to be modeled. A processor receives interview data associated with research candidates. A processor identifies one or more target candidates based on a match between the persona data and the interview data. A processor monitors the one or more target candidates for the match during an interview. A processor generates an insight with data synthesis identifying an experience level of the one or more target candidates. A processor determines a need of additional recruitment based on the insight and the persona data.

Abstract: A processor may receive information regarding risk mitigation approaches. The information regarding risk mitigation approaches may be stored in a database accessible to a risk assessment AI model. The processor may receive information regarding risks associated with the area. The processor may determine, using the risk assessment AI model, a current risk evaluation associated with the area. The processor may determine, using the risk assessment AI model, recommended risk mitigation measures based on the current risk evaluation.

Abstract: The present disclosure includes analyzing a voice command or request from a user, received at an Artificial Intelligence (AI) system, for identifying a possibly incorrect or misunderstood voice command or request. A first user is identified and associated to a first user profile, in response to receiving an audio input, including a question or command, at an AI system. A possible defect or error is identified, in whole or in part, of the question or the command, based on the first profile of the first user and a knowledge corpus. A response by the AI system is determined based on the analysis of the content and the user profile for the first user. A possible alternative content is generated, in whole or in part, for the question or the command, and communicated the response including the possible alternative content to the first user.

Abstract: Assessing, using a computer, a state of a participant and sharing personalized data for the participant in an electronic group meeting or collaboration using a communications network. Personalized data is received at a computer for a user participating in electronic group communications including group collaboration. The personalized data received at the computer includes biometric data and personality profile results. The biometric data includes biometric changes in real-time. A biometric change in the user is detected from a baseline for the user. In response to the biometric change, the biometric data is analyzed and the personality profile results to determine a suggested action regarding the user. The suggested action is communicated to the user or another participant user of the group meeting based on the analysis.

Abstract: Embodiments of the present invention disclose a method, computer program product, and a computer system for suspending a database index. A computer determines if an update to a database includes an update to an index of the database. If so, the computer suspending the index of the database, wherein the suspending the index of the database comprises: the computer deleting the index of the database; the computer retaining a definition for the index of the database, wherein the definition includes a command for rebuilding the index of the database; and the computer indicating in a system catalog of the database that a status of suspension has been applied to the index.

Abstract: Embodiments of the invention present invention provide an approach for governing Internet of Things (IoT) device operation. Specifically, the present invention relates to a method and system for utilizing digital twin-based simulation to selectively govern capabilities of surrounding IoT devices to improve a user experience.

Abstract: System and methods for type ahead search amelioration based on image processing are provided. In embodiments, a method includes: capturing, by a computing device, image data based on images viewed by a user during a computing session; converting, by the computing device, the image data to text using image processing; and storing, by the computing device, the text in a temporary buffer of a type ahead search function, wherein the text constitutes image context data for use by the type ahead search function.