Abstract: Provided are techniques for digital twin functional and non-functional simulation testing. An indication is received that digital twin functional and non-functional simulation testing is to start for an application being developed, where a first portion of code for the application has been developed and a second portion of the code for the application has not been developed. Application data and an application landscape are retrieved. The digital twin functional and non-functional simulation testing is performed to identify which functional and non-functional requirements are not being met by the first portion of the code. For the functional and non-functional requirements that are not being met, suggestions are provided for at least one of the first portion and the second portion to meet one or more of the functional and non-functional requirements. One or more of the suggestions are implemented.

Abstract: A processor may receive storage area information of a smart storage area. A processor may analyze the one or more objects associated with the smart storage area. A processor may determine a layout of the one or more objects. The layout may be based, at least in part, on one or more object parameters of the one or more objects and the storage area information. A processor may arrange the one or more objects in the layout.

Abstract: A processor may receive instructional information. The instructional information may be associated with an instructional media. A processor may analyze the instructional information for one or more instructions. A processor may identify a target device from the one or more smart devices in the smart environment that are associated with the one or more instructions. A processor may perform the one or more instructions with the target device.

Abstract: Computer-based provision of recommendations includes determining an item of interest to a user and a geographic region of the user. The item, as available from different e-commerce websites (websites) of geographic regions that are different from the geographic region of the user are aggregated within blockchain. Social network data for the user is retrieved and processed using natural language processing to determine contacts of the user located in the geographic regions of the websites. A likelihood of each contact traveling to the geographic region of the user is determined based on the social networking data. A website is selected that offers the item and that corresponds to a geographic region of a selected contact. The selected contact of the user has at least a minimum likelihood of traveling to the geographic region of the user. The selected website is presented to the user as an option for obtaining the item.

Abstract: Generating safety level scores of travel parking spots by an AI model trained by supervised learning using labeled online source data and static and dynamic IoT data, determining a current location and travel route of a vehicle, identifying potential travel parking spots within the geospatial area of the current location and travel route of the vehicle, receiving data from online sources and static and dynamic data of IoT devices in the vicinity of the travel parking spots, generating by the AI model, safety level scores for the travel parking spots within a geospatial area of the vehicle, and sending a listing of the safety level scores to a computing device associated with the vehicle.

Abstract: A flexible display of a flexible display device can be divided and have removable sections for use as one or more wearable devices. The flexible display can be divided into a plurality of portions. The plurality of portions are divided along a plurality of dividing lines each having a locking mechanism, respectively. A power supply is electrically connected to the locking mechanisms to activate and deactivate the locking mechanisms. A portion of the plurality of portions border corresponding locking mechanisms along corresponding dividing lines of the plurality of dividing lines. The portion is selectable for decoupling and removal, in response to deactivation of the corresponding locking mechanisms for the portion of the flexible display.

Abstract: A processor may receive an input dataset. The input dataset may include a plurality of construction components and one or more performance factors of the building/structure. A processor may generate a digital twin of the building/structure using the input dataset. A processor may simulate, using the digital twin, one or more features of the building/structure. The simulating may include a forecast having one or more predicted conditions associated with the building/structure.

Abstract: Systems, methods and/or computer program products for dynamically adjusting levels of data security, encryption enforcement, confidentiality, network policies and other parameters within a network and at processing nodes thereof, implementing heightened levels of security and encryption as needed, based on the type of datasets being processed. Enforcement and removal of data security, encryption requirements, confidentiality, network policies and other parameters at the nodes of the network is performed using headers and footers added to the source dataset. Headers prescribe the heightened level of security or encryption being enforced at each node of the network along the source dataset's flow trajectory, while footers follow the completed processing of the source dataset and indicates to the nodes along the data flow trajectory the conditions for removing the heightened level of security, encryption, confidentiality, network policies and other parameters prescribed by the headers.

Abstract: Mechanisms are provided to generate a test dataset for software application development. A baseline mixed reality (MR) environment simulation of an existing process is generated that models applications of an application landscape. A requirement for an application that is to be developed is received and a MR component model is generated to represent the application based on a machine learning computer model processing of the requirements data structure and a knowledge corpus. The MR component model modifies the baseline MR environment simulation, and executes the modified MR environment simulation to simulate the modified MR environment simulation. The simulation is monitored for user input specifying a contextual scenario and context data is collected from the MR component models of the modified MR environment simulation. A test dataset for testing a coded version of the SUD application is generated based on the contextual scenario and the collected data.

Abstract: A method, computer system, and a computer program product for securing visible data is provided. The present invention may include encrypting an on-screen data rendered on a display of an endpoint device. The present invention may also include authenticating an external decryption device within a periphery defined by the endpoint device. The present invention may further include decrypting the encrypted on-screen data on the authenticated external decryption device.

Abstract: Revising a delivery route for a user based on, at least, identified disruptions is provided. A computer device identifies delivery parameters for a delivery, wherein the delivery parameters include (i) a delivery route from a shipping location to a delivery location, and (ii) one or more delivery constraints. The computing device displays the delivery route on a graphical user interface (GUI), wherein the GUI is configured to be interacted with by one or more users. The computing devices receives from a user via the GUI, a definition of an environmental disruption. The computing device generates a revised delivery route, wherein the revised delivery route modifies the delivery route to avoid the environmental disruption while satisfying the one or more delivery constraints. The computing device displays the revised delivery route on the GUI.

Abstract: Provided are a computer program product, system, and method for generating a visualization of blocks of code statements related to errors in a log file. A log file logs errors in execution of program code. Source code, from which the program code is compiled, is analyzed to determine blocks of statements in the source code whose execution resulted in the errors in the log file. Blocks of statements in the source code are annotated with the errors in the log file caused by the blocks of statements. Execution of a block of statements annotated with an error resulted in the error logged in the log file. The annotated blocks of statements are processed to generate a video providing a visualization of the blocks of statements in the source code whose execution resulted in the errors.

Abstract: A method, a computer program product, and a computer system manage notification settings on a user device within premises. The method includes determining a notification rule to be enforced on the premises for the notification settings to be set on the user device while within the premises. The method includes determining a location and a defined surrounding within the premises for managing the notification settings on the user device, the notification rule being based on the defined surrounding. The method includes determining a user device location of the user device within the premises. The method includes determining whether the user device location is within the defined surrounding. The method includes, as a result of the user device location being within the defined surrounding, transmitting instructions indicative of the notification rule to the user device to set the notification settings on the user device based on the notification rule.

Abstract: First sensor data can be received from a first set of IoT devices. Sensor data collection rates can be determined for a first artificial intelligence model by analyzing the first sensor data using a second artificial intelligence model. Based on the sensor data collection rates, sensor control commands can be communicated to a second set of Internet of Things devices. The sensor control commands can specify, to the second set of Internet of Things devices, sensor data communication rates that respective ones of the second set of Internet of Things devices are to implement for communicating, to the first artificial intelligence model, second sensor data generated by sensors of the respective ones of the second set of Internet of Things devices.

Abstract: Enhanced survey information synthesis can include performing a respondent assessment of a survey respondent based on respondent data obtained electronically from one or more electronic data sources. Survey responses provided by the survey respondent can be adjusted, the adjusting based on the respondent assessment. A revised survey can be generated, the revised survey comprising the survey responses adjusted based on the respondent assessment.

Abstract: An embodiment for dynamically displaying images based on textual content is provided. The embodiment may include receiving real-time textual content from a sender and a recipient. The embodiment may also include deriving a topic of the real-time textual content and a context associated with the real-time textual content. The embodiment may further include identifying a medium in which the real-time textual content is entered. The embodiment may also include predicting a digital image to be displayed to the sender. The embodiment may further include in response to determining the digital image is available in a digital library, selecting the digital image from the digital library and displaying the selected digital image to the sender. The embodiment may also include validating the selected digital image and displaying the validated selected digital image to the recipient.

Abstract: A 3D printing and assembly system includes a 3D printer having a build volume; a robotic arm configured to access both within the build volume and outside of the printer. The printing and assembly system and a 3D computer hardware system are connected to both the printer and the robotic arm. An assistive object outside of build volume and accessible by robotic arm is identified. A 3D object assembly to be generated by the printer is identified. The assistive object and the object assembly is real-time analyzed, using the computer hardware system, to generate interdependent sequential instructions for the printer and the robotic arm. The already-generated object is positioned within the build volume using the robotic arm with the sequential instructions for the robotic arm. The object assembly is 3D printed by 3D printing around the already-generated object using the sequential instructions for the 3D printer.

Abstract: Provided are techniques for thermally efficient route selection. A request is received for a route for a vehicle to travel from a first geographic location to a second geographic location. Route data is retrieved for each of a plurality of routes, where the route data includes, for each portion of each route at a given time and day, air temperature adjacent to a road surface. Vehicle data is retrieved for the vehicle, where the vehicle data includes a desired temperature of an item being carried and a desired inlet air temperature. The route from the first geographic location to the second geographic location is determined using the route data and the vehicle data, where the route is thermally efficient. The vehicle is directed along the route, where the route specifies a lane from a plurality of lanes of a road for each portion of the route.

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.