Abstract: A method, computer system, and a computer program product for part identification is provided. The present invention may include observing a user interaction with a physical object using an IoT device. The present invention may include identifying the physical object within a knowledge corpus using one or more image analysis tools. The present invention may include leveraging an identity of the physical object to identify one or more similar interactions with the physical object stored in the knowledge corpus. The present invention may include generating one or more recommendations based on the one or more similar interactions with the physical object. The present invention may include transmitting a user selected recommendation.

Abstract: A processor may receive user data associated with one or more locations of a user in an environment. The processor may receive edge computing data associated with utilization of edge computing resources by the user. The processor may analyze the edge computing data to associate a context with an edge computing resource need. The processor may analyze the user data to associate a context with a location of the user within the environment. The processor may determine a first location of the user in the environment at a first time. The processor may predict a first edge computing need of the user in the first location. The processor may determine an arrangement of one or more edge computing devices configured to meet the first edge computing need of the user at the first time.

Abstract: A method for automatically providing virtual support is provided. The method may include determining a level of experience associated with the end-user and members of a support personnel for a computer application. The method may further include, in response to detecting one or more first actions on the computer application, automatically generating and providing support instructions based on virtual support documentation to an end-user based on the one or more first actions and based on the level of experience associated with the end-user. The method may further include, in response to detecting one or more second actions on the computer application, automatically determining a match between a member of the support personnel and the end-user based on the level of experience associated with the end-user and the member of support personnel.

Abstract: An embodiment for splitting a mobile device display is provided. The embodiment may include receiving configuration criteria regarding mobile device display splitting and content mapping from a user. The embodiment may also include identifying a first location of a first finger and a second location of a second finger of the user on a frame of a mobile device. The embodiment may further include in response to determining the user is moving the first finger in a first direction, creating a plurality of split displays on the mobile device. The embodiment may also include identifying a contextual situation of the user. The embodiment may further include displaying a plurality of content adjacent to the second finger of the user. The embodiment may also include mapping one or more items of the plurality of content to one or more of the plurality of split displays.

Abstract: Devices are dynamically paired at a new location based on historical context with respect to previous device pairing and a pairing environment. A request is received at a computer to pair a user device to a device at a new location. Historical context of the user device paired at a previous location to one or more devices at the previous location is analyzed. Pairing of the user device to the device at the new location is automatically initiated based on the analysis of the historical context, and the automatic initiation includes adjusting settings on the user device based on the historical context. Pairing the user device to the device at the new location automatically.

Abstract: A system to provide increased visibility and insight into unexpected usage patterns for electronic devices is described. The utilization analysis system applies a utilization model to device utilization information. The utilization model is also used to determine one or more device usage patterns for the electronic device. These device usage patterns are used to determine an unexpected device utilization where the system responds to the unexpected device utilization with several hardware and software solution proposals to prevent damage to the electronic device and/or enhance the design and development of the electronic device.

Abstract: According to one embodiment, a method, computer system, and computer program product for converting traffic noises is provided. The embodiment may include capturing audio input relating to traffic conditions or environmental conditions surrounding a user or a vehicle containing a user. The embodiment may also identifying undesirable noises from within the captured audio. The embodiment may further include generating mood-improving sounds for a user based on the identified noises. The embodiment may also playing the generated sounds for the user. The embodiment may further include alerting the user or a second user of relevant traffic conditions or relevant environmental conditions including conditions that correspond to the identified noises.

Abstract: Disambiguating question answering responses by receiving voice command data associated with a first user, determining a first user identity according to the first user voice command data, determining a first user activity context according to the first user voice command data, determining a first response for the first user, receiving voice command data associated with a second user, determining a second user identity according to the second user voice command data, determining a second user activity context according to the second user voice command data, determining a second response for the second user, determining a predicted ambiguity between the first response and the second response, altering the first response according to the predicted ambiguity, and providing the first response and the second response.

Abstract: Approaches presented herein enable detection of security vulnerabilities in software containers. More specifically, a software container comprising a build script and a base image is received. An instance of the software container is instantiated in an encapsulated environment using the build script and the base image. The instance of the software container is executed in the encapsulated environment, and the execution of the software container instance is monitored in the encapsulated environment to detect one or more security vulnerabilities.

Abstract: A method for transferring content utilizing contextual positioning includes receiving a content selection for transferring from an originating device. The method also includes determining contextual positioning in a user interface of the originating device for each portion of the content selection, wherein the contextual positioning is based on the content selection and one or more objects in the user interface of the originating device. The method also includes sending, to a receiving device, each portion of the content selection with the determined contextual positioning in the user interface of the originating device. The method also includes placing, in the user interface of the receiving device, each portion of the content selection is based on the determined contextual positioning in the user interface of the originating device.

Abstract: A current state of a mobile computing device may be monitored. The mobile computing device has a set of one or more installed applications. The current state is related to the set of installed applications. A first computing action of a user of the mobile computing device is identified responsive to the current state. The first computing action is related to the set of installed applications. Responsive to the first computing action, a set of one or more candidate computing actions is determined. The mobile computing device generates, based on the first computing action, a projected visualization that relates to a first candidate computing action of the set of candidate computing actions.

Abstract: A computer-implemented method, a computer system and a computer program product manage disruption between activities in a common area environment. The method includes capturing activity data from the common area environment, where the activity data is selected from a group consisting of: video data, audio data and biometric data and text data. The method also includes identifying a plurality of current activities in the activity data. Each current activity is associated with a device and includes a context with respect to other current activities in the plurality of current activities. In addition, the method includes determining a disruption score for each current activity in the plurality of current activities based on the context with respect to the other current activities. Lastly, the method includes transmitting a notification response to the device associated with a current activity when the disruption score for the current activity is above a threshold.

Abstract: Presenting content history to a user added to a group chat may include: receiving a request from a user to join an existing group chat session, wherein the requesting user is associated with user data describing the requesting user’s persona; performing an analysis of content of the group chat session prior to the requesting user joining the group chat session; and adding the requesting user to the group chat session, including: generating a modified version of the content of the group chat session based on the content analysis and the user data; and presenting the modified version of the content of the group chat session to the requesting user.

Abstract: A method for providing keyword recommendations for a virtual keyboard includes, in responsive to determining a user is interacting with a virtual keyboard, identifying one or more devices associated with text inputted as written content into a text field in a user interface. The method includes identifying one or more portions of the written content relating to data generated by the one or more devices. The method includes identifying one or more portions of the data generated. In response to converting the one or more portions of the data generated to text, the method includes displaying the text for the one or more portions of the data generated by the one or more devices. In response to receiving a text selection with the text, the method includes displaying the text selection with the written content in the text field in the user interface.

Abstract: A processor may receive user command generated by a user. A processor may analyze user information for one or more official activities. The one or more official activities are based, at least in part, on a security policy. A processor may identify the user information is associated with the one or more official activities. A processor may prevent, responsive to determining the user command is associated with the one or more official activities, the one or more personal devices from collecting the user command.

Abstract: A method, computer system, and a computer program product for roadway messaging are provided. A computer receives first information of a reduction of a roadway section. The computer determines a passable road width at the reduction in the roadway section. The computer determines a size of a first vehicle. The computer determines whether the first vehicle fits through the passable road width. The computer generates a first message based on the determining of whether the first vehicle fits through the passable road width, the first message comprising a driving recommendation for the first vehicle. The computer transmits the first message for reception by the first vehicle.

Abstract: A method and a corresponding system that enables developers to determine a combination of two or more security profiles in which to deploy and configure a container (or set of containers). In some instances, the determination of which two or more security profiles in which to deploy the container (or set of containers) is made based upon the use of a two-dimensional (2D) diagram or a three-dimensional (3D) diagram that provides a visual display of at least one overlap between the two or more security profiles represented therein.

Abstract: Artificial intelligence-based 3D printing for waste disposal management includes collecting, by one or more processors, data corresponding to a waste disposal site from a plurality of data acquisition sources. Based on the collected data, determine properties of waste disposed in a waste disposal container located in the waste disposal site and a waste distribution pattern associated with waste accumulation in the waste disposal site. Weather data corresponding to a geographic location of the waste disposal site is obtained by the one or more processors, and based on the weather data and the waste distribution pattern a vulnerability index is calculated for the waste disposal site. In response to the vulnerability index exceeding a predefined threshold, a request is sent to a 3D printer for printing a protective cover for the waste disposal container according to the waste distribution pattern for preventing waste spreading outside the waste disposal container.

Abstract: A delivery location of a first user is linked to a tokenized identifier of a package including an ordered item and delivery is initiated. A second order for the same item is received from a second user also requesting expedited delivery while the item ordered by the first user is en-route for delivery. An incentive is offered to a computing device of the first user in exchange for agreeing to a delayed delivery of the item ordered by the first user. An expedited delivery timeframe in exchange for additional compensation is offered to a computing device of the second user, and in response to receiving an acceptance of the incentive for delayed delivery and the expedited delivery in exchange for additional compensation the link to the tokenized identifier is changed to a delivery location of the second user while the package including the item is en-route.

Abstract: Computer technology for leveraging crowd sourced data to create an experience scoring based itinerary that outputs an itinerary of POI's (points of interest) based on relevancy to the person's interest, scoring experience, weather conditions and other factors relevant to setting the destinations, order and/or scheduling of the traveler's itinerary (for example, a daily schedule for a family on holiday). Also, computer technology for filtration of a set of images unique to a person's profile and taste and stitching these images to suggest a personalized route specific to that person's understanding.