Abstract: Provided is a method, system, and computer program product for implementing automated pattern-based editing techniques using human-computer interaction (HCl) analysis. A processor may monitor, using HCl analysis, editing operations of a set of text of an electronic document. The processor may analyze the editing operations of the set of text to identify an editing pattern. The processor may search the electronic document to identify a similar set of text to be edited based on the identified editing pattern. The processor may generate, based on the editing pattern, an automated editing command script to perform the editing operations on the similar set of text. The processor may deploy the automated editing command script to apply the editing operations automatically to the similar set of text of the electronic document.

Abstract: Communication using light fidelity (LiFi) communication signals includes receiving LiFi communication signals from a light source. The LiFi communication signals are associated with a set of spectrum characteristics indicative of a set of chemical compounds. The set of chemical compounds is associated with the light source. The set of spectrum characteristics of the LiFi communication signals is analyzed. The set of spectrum characteristics of the LiFi communication signals is compared with a specified set of spectrum characteristics based on the analyzing of the set of spectrum characteristics. The LiFi communication signals are decoded based on the comparing. This enhances the security of data transmitted using the LiFi communication signals.

Abstract: A method, and associated system and computer program product, is disclosed that includes prompting a user to perform a first task within a virtual environment. The first task is suggestive of whether the user exhibits one or more symptoms of a set of predetermined symptoms indicative of a cognitive disorder. The method further includes assessing performance of the first task responsive to user inputs received from one or more input devices, and determining, based on the performance of the first task, whether performance of one or more additional tasks is needed to conclusively assess whether the user exhibits any of the one or more symptoms. The method further includes reporting, based on the performance of the first task and the performance of the one or more additional tasks when needed, an assessment of whether the user exhibits any of the one or more symptoms.

Abstract: A computer-implemented method, system and computer program product for scaling a resource of a Database as a Service (DBaaS) cluster in a cloud platform. User service requests from a service cluster to be processed by the DBaaS cluster are received. A first set of tracing data is generated by a service mesh, which facilitates service-to-service communication between the service cluster and the DBaaS cluster, from the user service requests. A second set of tracing data is generated by the DBaaS cluster from handling the user service requests. A dependency tree is then generated to discover application relationships to identify potential bottlenecks in nodes of the DBaaS cluster based on these sets of tracing data. The pod(s) of a DBaaS node are then scaled based on the dependency tree, which is used in part, to predict the utilization of the resources of the DBaaS node identified as being a potential bottleneck.

Abstract: A request to share an object is received within a virtualized screen sharing management application. A virtualized display for sharing the object is generated. The object is mapped to the virtualized display. Responsive to the request, the object is shared within the virtualized screen sharing management application via the virtualized display.

Abstract: Dynamic vehicle maintenance management is provided. Performance of each subsystem of a plurality of subsystems corresponding to a vehicle and driving behavior of a user of the vehicle is monitored by performing an analysis of data collected from an IoT sensor system onboard the vehicle to detect any subsystem issues in the vehicle using a set of machine learning models. An issue is detected in a subsystem of the vehicle based on the analysis of the data collected from the IoT sensor system onboard the vehicle. Maintenance corresponding to the issue detected in the subsystem of the vehicle is scheduled at a date, time, and location based on availability of the user of the vehicle and a selected vehicle repair shop. A notification regarding the maintenance corresponding to the issue detected in the subsystem of the vehicle is sent to the user of the vehicle via a network.

Abstract: The input of a user is monitored and a location of the user and a language of the user are detected. The input is converted to a text string in the detected user language and the converted text string is parsed into parsed tokens. A command line and correlated parameters indicated by the input are recognized based on the parsed tokens. The recognized command line with the assigned parameters is executed.

Abstract: Embodiments herein describe displaying popups in web conferences for vague phrase that may have multiple definitions or meanings. To select the correct definition or meaning, the system can determine or monitor a context of the web conference. In one embodiment, the system uses the context to index into a dictionary to select one of the definitions for phrases that have multiple definitions. A popup with the selected definition can then be displayed in the web conference.

Abstract: A computer-implemented method for managing Internet of Things (IoT) protocols. A processor set continuously monitoring a number of IoT devices to collect a set of data from the number of IoT devices. The processor set trains a number of machine learning models using the set of data as training data. The processor set performs predictive analysis using the number of machine learning models to determine state of each protocol for the number of IoT devices based on real-time data from the set of data. The processor set identifies a number of legacy protocols from the protocols for the number of IoT devices based on the states of protocols for the number of IoT devices using the number of machine learning models. The processor set migrates the number of legacy protocols to a number of new protocols to optimize performance for the number of IoT devices.

Abstract: A computer-implemented method includes identifying a defect in a three-dimensional (3D) printed object and determining a chemical precipitation reaction to repair the defect utilizing a machine learning neural network and solubility rules. Solutions are selected to be dispensed to result in the chemical precipitation reaction. The solutions are applied within the defect to cause the chemical precipitation reaction to occur within the defect in the 3D printed object.

Abstract: A computer-implemented method is provided. A processor set determines a set of data to be collected from a number of autonomous vehicles in real-time. The set of data comprises anonymized data associated with operations for the number of autonomous vehicles. The processor set collects the set of data from the number of autonomous vehicles through internet of things (IoT) devices from the number of autonomous vehicles using a central server. The processor set generates a digital map based on the set of data, wherein locations for the number of autonomous vehicles are shown in the digital map. The processor set displays the digital map to a number of users within a predefined proximity to the number of autonomous vehicles.

Abstract: In some implementations, a metaverse platform determines an attention direction associated with an avatar in a virtual space having two or more groups of additional avatars rendered therein. Each of two or more conversations may be associated with a respective group of the two or more groups. The metaverse platform may determine, based on the attention direction, an interest prediction indicative of a predicted group of interest of the two or more groups. The metaverse platform may provide, based on the interest prediction and to a client associated with the avatar, experience enhancement data to cause an output device associated with the client to output an experience enhancement corresponding to a conversation associated with the predicted group of interest.

Abstract: Automated conditional formatting of a user interface includes a robotic process automation (RPA) agent receiving user activity via a dashboard user interface. The RPA agent automatically determines data engaged by a user from data associated with the user activity. A role of the user during an engagement with the dashboard user interface is identified. The RPA agent identifies data segments of interest. The data segments of interest and the identified role of the user are forwarded to a machine learning module. Upon receiving, via the dashboard user interface, a notification of an opening of the dashboard user interface, the machine learning module predicts a set of data segments in the dashboard user interface that will be of interest to the user. The predicted set of data segments are sent to the RPA agent. The RPA agent applies conditional formatting rules to the display of predicted set of data segments.

Abstract: A method for temperature measurement may be provided. The method may include obtaining an image of an object acquired by an imaging device. The method may also include determining an angle between the object and the imaging device based on the image. The angle may be defined by a reference direction and a direction that the object is facing. The method may further include determining a temperature of the object in response to determining that the angle satisfies a condition based on the image.

Abstract: According to one embodiment, a method, computer system, and computer program product for creating a wireless charging layout. The embodiment may include receiving one or more signals from one or more wireless charger devices within a given space. The embodiment may include identifying a location of a power-consuming electric device within the given space. The embodiment may include identifying respective signal strengths of the one or more wireless charger devices relative to the location of the power-consuming electric device. The embodiment may include retrieving a floor plan of the given space. The embodiment may include creating a signal strength map of the identified respective signal strengths using the retrieved floor pan. The embodiment may include creating an augmented reality (AR) wireless charging layout of the given space based on the signal strength map.

Abstract: A processor set receives data detected from sensor devices associated with an online conference session. The processor set, based on analyzing the data, determines a contribution score for each of a plurality of participants attending the online conference, which is being conducted via the video stream. The contribution score indicates a participant's level of contribution during the online conference session. The processor set controls performing of an automatic close-up of a camera view in the online conference session to a participant having a highest contribution score among the plurality of participants attending the online conference being conducted via the video stream.

Abstract: According to one embodiment, a method, computer system, and computer program product for detecting, interpreting, and translating sign language is provided. The present invention may include responding to a detection of an active web conference, by analyzing a user's profile and profiles of an audience of the web conference; capturing gestures and spoken language of a presenter using one or more Internet of Things devices; processing the captured gestures and the spoken language of the presenter to interpret the gestures and the spoken language of the presenter; translating the gestures and the spoken language of the presenter into sign language; generating a digital avatar; and displaying the digital avatar along with dynamic sign language movements using the digital avatar.

Abstract: A computer-implemented method to determine a source, intent, and target of a signlaing sound for vehicle. The method includes obtaining a set of conditions for a vehicle, where the set of conditions includes identifying at least one additional vehicle in a vicinity of the vehicle. The method further includes identifying, by a set of sensors associated with the vehicle, a signaling sound. The method also includes predicting an intent of the signaling sound. The method includes generating, based on the set of conditions, an aerial view of the vehicle. The method further includes generating, in response to the predicting, a message to the vehicle, where the message communicates the intent to a passenger in the vehicle.

Abstract: The program intelligently assigns a virtual office layout (VOL) to one or more actual users' real on-site office layout (ROL) based on human resource mapping. The method maps the one or more actual users' ROL to a correlated VOL, according to human resource data and a real building floor map. The method creates an augmented virtual office layout (AVOL) based on the mapping. The method customizes the AVOL according to the one or more actual users' preferences and real office location and tracks the one or more users' activities on the AVOL. The method renders the one or more users' real or preferred office location and the one or more users' virtual position on the AVOL.

Abstract: A computer-implemented method, a computer system and a computer program product add a mapped holographic projection to a screen sharing session. The method includes transmitting a screen image from a presenter computing device to a participant computing device. The method also includes capturing a body movement image of the presenter using a camera. The method further includes identifying a gesture in the body movement image and mapping the gesture to the screen image. In addition, the method includes generating a holographic projection of a mapped gesture of the presenter. Lastly, the method includes displaying the holographic projection at the participant computing device in front of the screen image.