Abstract: Embodiments of the present invention provide a computer system a computer program product, and a method that comprises identifying multiple contextual factors within a navigational data based on navigational data containing a plurality of indicative markers, wherein the multiple contextual factors have an impact on a size of the navigational data associated with a navigational path; classifying the identified multiple contextual factors according to a contextual analysis of portions of the navigational path; and generating a microfluidic-based spiral representation of the navigational path for a user interface within a computing device based on a classification of the identified multiple contextual factors associated with the navigational data.

Abstract: A processor may receive assembly data associated with one or more assembly robots and an object. The object may be assembled by the one or more assembly robots performing one or more assembly maneuvers. The processor may analyze the assembly data and the one or more assembly maneuvers associated with assembling the object. The processor may identify one or more alterable factors associated with the one or more assembly maneuvers. The processor may generate an optimized assembly plan based, at least in part, on altering the one or more alterable factors associated with the one or more assembly maneuvers. The processor may assemble the object based on the optimized assembly plan.

Abstract: A computer system, computer program product, and computer-implemented method are provided for facility evacuation. The method includes determining one or more environmental conditions adverse to one or more occupants within a structure at least partially enclosing a ventilation system and one or more passageways therein. The method also includes predicting movement patterns of the one or more adverse environmental conditions within the at least a portion of the structure. The method further includes creating, through the ventilation system, at least partially subject to the predicting, one or more evacuation routes including at least a first portion of the one or more passageways comprising reducing, at least partially, the one or more adverse environmental conditions within the one or more evacuation routes.

Abstract: A method, computer system, and a computer program product for robot assistance are provided. A computer identifies a position of a first robot in an environment and a range of movement of an arm of the first robot. The computer generates an alignment plan for moving a first conveyor to be aligned with the first robot so that the first conveyor is engageable with the arm of the first robot within the range of movement of the arm. The first conveyor and the first robot include respective supports that are separate from each other. The computer transmits the alignment plan for execution so that the first conveyor is moved according to the alignment plan.

Abstract: Embodiments of the present invention provides an approach for repairing defects in a structure, located in difficult to reach area, by using a self-guiding and self-melting robotic thread. The approach can use an external guidance system to find the target location of the structure and deploy a robotic thread to the defective area. Portion of the robotic thread contains a filler material can have similar materials to the structure. After the system has determined the size, length and volume of the repair, the system calculates the required length of the robotic thread and guides the thread to the defective area. Once the robotic thread is in place, the filler material begins to melt via heat. The filler material, in a melted and pliable state, can flow into the defect area. Once cooled, the filler material can now support the structure.

Abstract: A system, program product, and method are provided for leveraging cognitive systems and a digital twin computing system for facility evacuation, and, more specifically, to leveraging a trained cognitive system to automatically facilitate executing an effective evacuation during an emergency through a digital twin of the affected facility structure and digital twins of the evacuees. Digital twins for a structure and each occupant thereof are created through machine learning techniques. Environmental measurements representative of environmental conditions within a structure are collected. The structural digital twin predicts potential environmental conditions adverse to occupants within the structure. Evacuation routes for the occupants are determined and atmosphere pressures within the evacuation routes are modulated, thereby reducing the severity of the adverse environmental conditions within the evacuation routes to facilitate the evacuation of the occupants from the structure.

Abstract: According to one embodiment, a method, computer system, and computer program product for wireless network communication. The embodiment may include identifying a workflow among multiple industrial machines within an activity area. Performance of the workflow requires wireless communication among the multiple industrial machines. The embodiment may include identifying communication requirements and communication capabilities of the multiple industrial machines. In response to determining a wireless network is not available within the activity area, the embodiment may include deploying one or more relay computing devices to deployment locations within the activity area based on the workflow, the communication requirements, and the communication capabilities. The embodiment may include instructing the one or more relay computing devices to create a wireless network which enables wireless communication among the multiple industrial machines.

Abstract: Provided are techniques for enforcing security rules along a trajectory of data movement. Confidentiality levels of source data and of processed data at different points of an existing trajectory path in an application landscape are identified by analyzing source metadata of the source data and processed metadata of the processed data. One or more trajectory paths that meet security levels that correspond to the confidentiality levels are identified by analyzing microservice generated logs and an application landscape description with reference to the confidentiality levels of the source data and the processed data. A trajectory path is selected from the one or more trajectory paths. A workflow is generated to move the source data and the processed data through the selected trajectory path, and the workflow is executed to move the source data and the processed data through microservices of the selected trajectory path while enforcing the security levels.

Abstract: Determining a name for a given file using file naming convention techniques based upon the context of the given file. The given file can include digital data and media content. In some instances, the context of the digital data and media content can be determined by using Natural Language Processing (NLP) to extract the substantive content of the digital data and Artificial Intelligence (AI) to properly classify the substantive content.

Abstract: Provided are techniques for enhancing applications based on effectiveness scores. Application functionalities of applications in an application landscape are identified. Application logs for the applications are analyzed to identify how the application functionalities are executing. Groups of application functionalities are formed, where each of the groups includes different application functionalities that perform a similar function. For a group of the groups, an effectiveness score is assigned to each of the different application functionalities in that group. For each application functionality, a corresponding recommendation is identified on how that application functionality is to be modified based on the effectiveness score for that application functionality compared to the effectiveness score of each of the other application functionalities in the group. Each application functionality to be modified is automatically updated based on the corresponding recommendation.

Abstract: A user-worn device includes a band portion and a display portion. The band portion comprises a wire that is configured to create a first magnetic field that follows the curvature of the band portion. The display portion comprises a first electromagnet that is configured to produce a second magnetic field. The display portion orbits around the band portion in a first orbital direction when the first and second magnetic fields interact.

Abstract: Provided are techniques for performing edge processing by selecting edge devices based on security levels. A security policy is identified for a job to determine a security level for the data. A number of the edge devices that are to be included in a participating group to execute the job is identified. A subset of edge devices that meet the security level are identified by comparing security data of each of the edge devices with the security level. In response to determining that the subset of edge devices includes that number of edge devices, the edge devices from the subset are added to the participating group. The job is executed using the edge devices in the participating group and the one or more cloud nodes, while maintaining the security level in processing the data and in communications across the edge devices and the one or more cloud nodes.

Abstract: A user-wearable device comprises a device band and a housing section connected to the device band. The housing section comprises a roller and an extendable display spooled around the roller. The extendable display comprises a first end that is attached to the roller. The user-wearable device also comprises an anchor that is attached to a second end of the extendable display and that is located outside the housing section. The user-wearable device comprises a locking mechanism attached to the anchor. Separating the anchor from the housing section causes the extendable display to unspool from the roller and extend out of the housing section.

Abstract: A processor may receive a building design of the building having one or more design components. A processor may receive, from at least one data collection device, a geographical location with one or more environmental parameters. A processor may simulate a virtual reality environment of the building design in the geographical location interacting with the one or more environmental parameters. A processor may augment the building design to an updated building design. The updated building design may be augmented based on the one or more environmental parameters.

Abstract: An external digital crown for a smartwatch can be implemented using a computer. A smartwatch having a display can receive an electronic cue from a digital crown. The electronic cue can related to a tactile event on the digital crown from a user. The digital crown can be positioned contiguously with the watch. The electronic cue can be analyzed to relate the tactile event to a movement of an indicator on the display for a selection on the display, and a selection can be initiated on the display based on the analysis of the electronic cue.

Abstract: Disclosed are techniques for augmented reality (AR) interfaces with voice activated devices for providing intelligent virtual assistant functions, sometimes referred to as smart speakers. A smart speaker is paired to an AR device. Volume threshold indicators are displayed on an AR display of the AR device, which can be interacted with through gesture based input to control volume thresholds for the smart speaker to detect and recognize voice commands. When the smart speaker receives wakeup commands, the AR device displays interface elements corresponding to time remaining to provide a voice command to the intelligent virtual assistant through the smart speaker. The time remaining to provide a voice command can be modified by gesture based inputs detected by the AR device.

Abstract: A method generates a fence as a barrier between a user and an area of risk conditions within a designated space. One or more processors recognize an area of risk conditions, based a machine learning model trained by pre-determined indicators of the risk conditions and areas within the designated space. Movement patterns of a user are determined, based on machine learning of video images of the user's movements and behaviors. A risk condition is detected, based on the machine learning training of pre-determined areas and the pre-determined indicators of the risk conditions. Responsive to determining the user within or approaching the area of risk conditions, deploying, by the one or more processors, one or more mobile IoT devices as a fence between the user and the area of risk conditions, and generating a distraction diverting the user away from the area of the risk condition.

Abstract: A method for peripheral segmentation of electronic contact lens includes determining a peripheral view for the electronic contact lens based on a user associated with the electronic contact lens and establishing a plurality of segmented areas in the peripheral view of an electronic contact lens, where each of the plurality of segmented areas in the peripheral view is associated with a software application from a plurality of software applications. The method also includes establishing a plurality of rules for accessing content of each software application from the plurality of software applications associated with the plurality of segmented areas and establishing a plurality of rules for accessing content of each software application from the plurality of software applications associated with the plurality of segmented areas. Responsive to displaying, in the electronic contact lens, the content of the first software application, performing an action on the content of the first software application.

Abstract: A method for peripheral segmentation of electronic contact lens includes determining a peripheral view for the electronic contact lens based on a user associated with the electronic contact lens and establishing a plurality of segmented areas in the peripheral view of an electronic contact lens, where each of the plurality of segmented areas in the peripheral view is associated with a software application from a plurality of software applications. The method also includes establishing a plurality of rules for accessing content of each software application from the plurality of software applications associated with the plurality of segmented areas and establishing a plurality of rules for accessing content of each software application from the plurality of software applications associated with the plurality of segmented areas. Responsive to displaying, in the electronic contact lens, the content of the first software application, performing an action on the content of the first software application.

Abstract: Disclosed are techniques for modifying Augmented Reality (AR) device user interfaces to improve accessibility for individuals with tremors in their hands and/or fingers. A historical data set of finger movements is generated using circuitry printed onto fingernails of an individual. The historical data set is used to determine patterns for tremors in the fingers and hands of the individual. These patterns are then used to modify interactive elements of a user interface displayed by an AR device operated by the individual according to their individual pattern. Modifications to the interactive elements include modifying depth of the interactive elements to prevent unintended activation of the interactive elements through gesture-based controls resulting from the tremors.