Abstract: A method for acoustic damping of sound clips includes identifying an audio clip for a location of a user in an environment and fragmenting the audio clip into a plurality of sound clips. The method further includes, responsive to determining at least one sound clip from the audio clip requires acoustic damping, performing the acoustic damping on the at least one sound clip, where a damping ratio for the at least one sound clip is altered. The method further includes responsive to determining to stitch the plurality of sound clips, stitching the plurality of sounds clips to form the audio clip, where the plurality of sound clips includes the at least one sound clip with the acoustic damping. The method further includes displaying a visual representation of the audio clip with the plurality of sound clips.

Abstract: According to one embodiment, a method, computer system, and computer program product for recovering power from haptic feedback is provided. The present invention may include identifying one or more haptic devices and one or more power recovery devices associated with a user; dynamically monitoring a position and distance of the one or more haptic devices and the one or more power recovery devices; predicting how much power can be recovered by the one or more power recovery devices from haptic feedback generated by the one or more haptic devices based on the position and distance; and change a direction of haptic feedback based on the prediction, position, and distance.

Abstract: In an approach to providing contextual justification for a virtual assistant response, one or more computer processors receive a first voice command from a user. One or more computer processors determine one or more boundary conditions associated with the first voice command. Based on the one or more boundary conditions, one or more computer processors determine a first response to the first voice command and a contextual justification of the first response. One or more computer processors respond to the user with the response to the first voice command and the contextual justification of the response.

Abstract: According to one embodiment, a method, computer system, and computer program product for identifying cloud storage destination. The embodiment may include identifying content of a data file being created or updated. The embodiment may include identifying cloud storage criteria of the data file. The embodiment may include determining whether an existing storage solution within a cloud storage service provider (CSSP) knowledge corpus is applicable to the data file. In response to determining that an existing storage solution is not applicable to the data file, the embodiment may include creating a new storage solution for the data file based on the identified content and cloud storage criteria of the data file.

Abstract: The present invention may include a computing device that receives root data, where the root data comprises a plurality of datasets. The computing device determines a context of each dataset within the plurality of datasets. The computing device identifies one or more users based on monitoring behavior of the one or more users related to each dataset. The computing device appends metadata associated with each dataset within the plurality of datasets with the determined context and the one or more identified users and setts access restrictions to each dataset in the metadata based on the context and the one or more identified users.

Abstract: A computer-implemented method, including: receiving, by a computing device, a post referring to a multimedia content; identifying, by the computing device, a time in the post; generating, by the computing device, a validity score based on analyzing contextual data of the time in the post; determining, by the computing device, a correlation between the time in the post to the multimedia content based on the validity score; and publishing, by the computing device, the post with an interactive link to a corresponding time of the multimedia content based on the determined correlation.

Abstract: Head movements can be detected by various sensors. The head movements are tracked over time, and the data is stored in a knowledgebase. User actions are also detected and tracked in the knowledgebase. Therefore, associations between head movements and user actions can be learned and predicted. Upon detecting a head movement associated with a user action, the user action can be executed.

Abstract: A method, computer system, and a drone for in-flight drone structure modification are provided. A first sensor of a drone may detect damage to a first arm of the drone during a flight of the drone. In response to the detecting the damage, the damaged first arm of the drone may be detached via a computer of the drone and during the flight of the drone.

Abstract: Classification and visualization of user interactions with an interactive computing platform is provided by building and providing a graphical user interface (GUI) of graphical elements for display on a display device. The graphical elements present visualizations of user interactions between users and an interactive computing platform in progression of the users through tasks based on the user interactions. The graphical elements also present identified features of the user interactions relative to the tasks and progression of the users therethrough. The building and providing includes building and providing, for a task of the tasks, a task element with first features corresponding to subtasks of the task and second features providing relations between the first features.

Abstract: A computer-implemented method comprises obtaining a physical location of a sensor on a device; determining that quality of data captured by the sensor physically located on the device is degraded based on a comparison of the captured data to a quality threshold; and, in response to determining that the quality of the data captured by the sensor is degraded, displaying a visual indicator on a display of the device. The visual indicator includes at least one non-textual component that directs a user to the physical location of the sensor on the device.

Abstract: Classification and visualization of user interactions with an interactive computing platform is provided by building and providing a graphical user interface (GUI) of graphical elements for display on a display device. The graphical elements present (i) visualizations of user interactions between users and an interactive computing platform in progression of the users through tasks based on the user interactions and (ii) identified features of the user interactions relative to the tasks and progression of the users therethrough. The building and providing includes, for each of the tasks, building and providing a respective task element that reflects identified features of a set of user interactions of one or more users in progressing through that task. Building a task element for a task includes building the task element as a polygon having vertices corresponding to subtasks of the task and edges between the vertices.

Abstract: An approach for enhancing a workplace environment is provided. Environmental information about the workplace environment is obtained from a plurality of internet of things (IoT) device sensors. Based on the environmental information, a digital twin of the workplace environment is created. The digital twin is evaluated over time using a cognitive system to identify a deficiency in the workplace environment using continuous learned data. Based on the evaluation, an area of an avatar-based version of the digital twin that contains a graphical change in the digital twin containing a suggested improvement that addresses the deficiency in the workplace environment is highlighted.

Abstract: An embodiment includes tokenizing a code segment generated by an integrated development environment responsive to user input, the tokenizing resulting in a tokenized code segment. The embodiment generates a search query by analyzing the tokenized code segment using a trained neural network. The embodiment executes a querying process that searches a knowledge base using the search query for a hardware requirement associated with the code segment, and detects a search result that conveys the hardware requirement as including a specialized hardware resource. The embodiment generates a time allotment associated with execution of the code segment using a second trained neural network that predicts the time allotment based on the tokenized code segment. The embodiment issues an instruction associated with the code segment to a hardware scheduler causing the hardware scheduler to allocate the specialized hardware resource for an amount of time corresponding to the time allotment.

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: In an approach for proactively detecting and resolving an issue of a plurality of active callers placed in a call queue using a machine learning technique, a processor monitors a call queue. A processor determines that a first threshold is triggered when a pre-set percentage of active callers are placed in the call queue. A processor analyzes a set of information in a customer account of each active caller for one or more common factors. A processor identifies a reason for the event occurring from the one or more common factors. A processor registers the event occurring as the domain event. A processor resolves the event occurring by providing the plurality of active callers with a resolution. A processor determines if a second threshold is triggered. Responsive to determining the second threshold is triggered, a processor executes an Interactive Voice Response workflow.

Abstract: According to one embodiment, a method, computer system, and computer program product for RFI streamlining is provided. The embodiment may include identifying one or more similarities between a current RFI and historical RFIs within a knowledge corpus. The embodiment may also include predicting one or more remedies to the current RFI based on the one or more identified similarities. The embodiment may further include prioritizing the current RFI among one or more open RFIs based on the one or more predicted remedies.

Abstract: In an approach for monitoring a user's in-flight activity and/or a pattern of movement of a user and warning the user of an in-flight activity or a pattern of movement that could lead to a potential short-term or long-term injury, a processor monitors a body movement and a posture of a user through an application of micro-location analysis enabled by a mesh network of 5G sensors over a period of time. A processor determines whether the body movement and the posture detected can lead to an activity or a series of activities that can result in a potential injury. Responsive to determining a pre-set threshold of risk has been reached, a processor issues a real time alert to the user to warn of the potential injury.

Abstract: Provided are a method, computer program product, and system for repairing a defective component of a 3D printer. The method comprises identifying a defective component in a 3D printer. The method further comprises determining one or more repair actions for the defective component. The method further comprises determining an order of priority for a set of print jobs for the 3D printer and the one or more repair actions. The method further comprises performing the set of print jobs and the one or more repair actions in accordance with the determined order of priority.

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: In an approach to assisting users of a collaborative meeting platform, one or more computer processors detect a start of a collaborative meeting. One or more computer processors monitor one or more activities of the collaborative meeting. Based on the one or more activities of the collaborative meeting, one or more computer processors detect a trigger for assistance with a user interface of the collaborative meeting. One or more computer processors retrieve one or more correlated actions associated with the trigger. One or more computer processors perform at least one of the one or more retrieved correlated action within the user interface of the collaborative meeting.