Abstract: A method, computer system, and a computer program product are provided for multi-dimensional printing. A printing request for printing tan object with at least one component is received. Information is obtained about the specifics of the object from a knowledgebase corpus database including at least a material requirement for printing of the object. The number of associated components and material and geometric requirements of each component and the object is analyzed. An output model is generated using at least one machine learning optimization model. The output model is generated based on the information obtained about the object and the analysis of the object's geometry and material requirements. The output model is stored in the knowledgebase corpus database.

Abstract: An embodiment for altering operational parameters of a machine in a multi-machine environment is provided. The embodiment may include receiving an IoT feed from one or more IoT devices and data relating to an activity in a multi-machine environment. The embodiment may also include identifying a health condition of one or more machines. The embodiment may further include in response to determining at least one machine of the one or more machines requires one or more maintenance actions, identifying a timeframe during which the one or more maintenance actions are able to be performed. The embodiment may also include updating a movement path of one or more service robots in the multi-machine environment. The embodiment may further include deploying the one or more service robots to execute the one or more maintenance actions. The embodiment may also include adapting one or more operational parameters of the one or more machines.

Abstract: An embodiment for controlling material movement with swarm power generating robots in a multi-machine environment is provided. The embodiment may include receiving data relating to an activity and one or more material handling devices to perform the activity. The embodiment may also include identifying one or more characteristics of one or more objects associated with the activity. The embodiment may further include predicting an amount of power required to transport the one or more objects. The embodiment may also include in response to determining at least one material handling device is unable to produce the required amount of power, identifying one or more power generation robots capable of transmitting the required amount of power to the at least one material handling device. The embodiment may further include deploying the one or more power generation robots to a target location of the at least one material handling device.

Abstract: A universal serial bus device, including: a main body; a connection portion attached to the main body; a processor; a storage portion storing a hash function executable by the processor, the hash function producing a hash value; a non-changing visual code on the main body, the visual code being readable by an optical scanner and corresponding to the hash function; and an electronic display configured to display the hash value.

Abstract: An approach for managing activities of users and robotic counterpart of the users is disclosed. The approach includes, receiving data from the users; analyzing the data from the users; determining activities of the users and the robotic counterpart of the users; analyzing a digital twin simulation of based on the activities of the users and robotic counterpart; collecting a first historical data of the activities of the users and the robotic counterpart and a second historical data from the digital twin simulation comparing the brain data against the digital twin simulation by evaluating work criteria; determining whether the data exceeds a predetermined threshold of the work criteria; in responsive to the brain data exceeds the predetermined threshold, generating one or more solutions in order to improve the work criteria of the users and/or the robotic counterpart; and executing the one or more solutions.

Abstract: A platform may receive user printing information that identifies a first location of a first printer capable of printing a first portion of a three-dimensional item, a first printer type, and a first inventory of filaments. The platform may validate first environmental conditions of the first location and validate network printing information that identifies locations of a plurality of printers capable of printing three-dimensional items, printer types, inventories of filaments, and network environmental conditions of the locations. The platform may identify a second printer, of the plurality of printers, based on a distance between the first location and a second location of the second printer, the user printing information, the first environmental conditions, and the network printing information. The platform may determine a sequence between the first location and the second location for printing the first portion and the second portion based on the first speed and the second speed.

Abstract: Method and apparatus for utilizing machine learning models to simulate and predict proactive actions in digital modeling. Data is collected from one or more sensors in a physical environment. A digital model depicting physical machinery in the physical environment is generated based on the sensor data. One or more operations of the physical machinery is simulated based on the digital model and the sensor data. Thermal conditions of the physical environment is predicted, using a machine learning (ML) model, based on the simulating of the operations and the sensor data. A recommendation comprising one or more proactive actions to mitigate potential thermal issues is generated, based on the predicted thermal conditions. The predicted thermal conditions, the identified potential thermal issues, and the one or more proactive actions are projected into the digital model via an augmented-reality (AR) display.

Abstract: An approach for improving completely automated public turing test to tell computers and humans apart (CAPTCHA) reliability for a resource. The approach receives a request for a CAPTCHA validation from a user. The approach retrieves a CAPTCHA analysis configuration associated with the user. The approach displays a CAPTCHA multi-zone display defined by the configuration. The approach receives video input containing adjunct objects, associated with objects visible on the user, from the user for the multi-zone display. The approach determines if the inputs are valid based on the CAPTCHA analysis configuration. The approach, responsive to the inputs being valid, allows access to the resource.

Abstract: An embodiment determines, by a collaboration mode transition engine, based on biometrics data and behavioral data, a cognitive level of a user associated with a first collaboration mode in a plurality of collaboration modes. The embodiment determines, by the collaboration mode transition engine, based on collaboration mode usage data associated with the first collaboration mode, a cognitive level threshold of the user for the first collaboration mode. The embodiment selects, by the collaboration mode transition engine, responsive to a determination that the cognitive level exceeds the cognitive level threshold, a second collaboration mode in the plurality of collaboration modes. The embodiment transitions, by the collaboration mode transition engine, to the second collaboration mode.

Abstract: An embodiment for handling scrap material with swarm robots in a multi-machine environment is provided. The embodiment may include receiving images of scrap material in a multi-machine environment. The embodiment may also include dividing the scrap material into a plurality of zones. The embodiment may further include identifying one or more characteristics of the divided scrap material in at least one zone of the plurality of zones. The embodiment may also include in response to determining the divided scrap material is in a target location in the at least one zone: printing a net around the divided scrap material in the at least one zone in accordance with the one or more characteristics of the divided scrap material; and transporting the net containing the divided scrap material in the at least one zone to a final destination.

Abstract: A computer-implemented method, a computer system and a computer program product split a virtual printing model according to a probability of multidimensional printing failure. The method includes obtaining a virtual printing model of a multidimensional object, where the virtual printing model comprises print layers. The method also includes determining that a printing risk score for a location on the multidimensional object is above a printing risk threshold. The method further includes mapping a set of print layers of the virtual printing model to the location on the multidimensional object. Lastly, the method includes sending the print layers of the virtual printing model to a multidimensional printer, wherein a mapped set of print layers is sent first.

Abstract: Techniques are presented for physically incapacitating data storage functionality of a computer data storage device for preventing access of data stored on the device. A security breach can be detected of a device housing a component communicable with a computer and where digital data is storable on the component. A mechanism can be activated for physically disabling the component in the device, in response to the detecting of the security breach. The incapacitating of the component can be a result of the mechanism physically contacting the component, in response to the activation of the mechanism, and the incapacitating of the component renders digital data stored on the component unretrievable by a computer.

Abstract: A system may include one or more devices. The one or more devices may obtain thermal parameters associated with a target measure of physical transformation of a four-dimensional (4D) object. The one or more devices may apply, during a printed process for the 4D object and using one or more thermal devices, air to a 4D printed material generated based on the printing process. The one or more devices may determine, using one or more camera devices, an actual measure of physical transformation of the 4D printed material resulting from applying the air to the 4D material. The one or more devices may determine whether the actual measure of physical transformation is different than the target measure of physical transformation. The one or more devices may provide an option to terminate the printing process if the actual measure of physical transformation is different than the target measure of physical transformation.

Abstract: In an approach for creating a detection boundary within which a sensor capability of a third-party robotic machine is disabled to restrict the third-party robotic machine from capturing a propagation of one or more aspects of a manufacturing process, a processor evaluates a manufacturing process, wherein a feature of the manufacturing process is protected by a trade secret. A processor evaluates a sensor capability of a third-party robotic machine to detect an aspect of the manufacturing process. A processor determines a set of detection boundaries for the manufacturing process. A processor determines whether the sensor capability of the third-party robotic machine can be disabled. Responsive to determining the sensor capability of the third-party robotic machine can be disabled, a processor disables the sensor capability of the third-party robotic machine when the third-party robotic machine enters the set of detection boundaries for the manufacturing process.

Abstract: A device may determine one or more preference factors associated with a user moving within a geographical area to obtain a first item and a second item. The device may determine one or more urgency factors associated with obtaining the first item and the second item. The device may select first candidate locations for the first item, and second candidate locations for the second item. The device may analyze path finding factors that include a predicted location of the user at a target date and time set for obtaining the first item and the second item, the one or more urgency factors, the one or more preference factors, and the one or more first candidate locations and the one or more second candidate locations. The device may determine, based on analyzing the path finding factors, a path for the user to obtain the first item then the second item.

Abstract: In an approach for creating a virtual network of smart refrigerators and tracking a plurality of food inventories, a processor creates a virtual refrigerator network by connecting a plurality of smart refrigerators. A processor gathers an inventory of one or more products stored in the plurality of smart refrigerators. A processor generates a recipe suggestion based on the one or more products, wherein the one or more products have at least one of a freshness level and an expiration date within a predetermined threshold. Responsive to one or more users each associated with one or more of the plurality of smart refrigerators accepting the recipe suggestion, a processor gathers a subset of the one or more products involved in the recipe suggestion. Responsive to determining a meal has been prepared, a processor delivers a respective portion of the meal to each household of the one or more users.

Abstract: A vehicle and/or fleet of vehicles that are equipped with: (i) a wind velocity detection device (for example, an ultrasonic wind velocity detection device); and (ii) a vehicle velocity detection device (for example, lidar or a speedometer and compass). Computer hardware performs two dimensional, or three dimensional, vector calculations in order to net out a stationary wind velocity from the measurements made at each vehicle. The computer hardware and software for performing the vector calculations and outputting stationary wind speed may be located in the vehicle or remotely from it (for example, at the headquarters of a weather prediction company).

Abstract: A cane for increased sweep coverage includes a first time-of-flight (TOF) sensor, a haptic feedback generator and a processor. The first TOF sensor is disposed at a first end of the cane and is configured to emit a first TOF beam. The haptic feedback generator is disposed towards a second end of the cane that is distally opposite from the first end of the cane. The processor is configured to receive signal data from the first TOF sensor, determine, based on the received signal data, whether an obstacle is present within the first TOF beam, and activate the haptic feedback generator in a first haptic feedback pattern in response to the processor determining that the obstacle is present. A method for using the cane to detect obstacles is also provided.

Abstract: A computer-implemented method, system and computer program product for optimizing a manufacturing process of a physical product using a virtual environment. A representative sample as a digital representation for each batch of components to be assembled into the physical product is generated based on component batch data. A digital twin simulation in a virtual environment using the digital representation for each batch of components is then created and executed to determine potential defects in assembling components into the physical product prior to actually assembling the components into the physical product. An analysis is performed in the simulation to determine whether any combination of components to be assembled into the physical product has been identified as failing to meet a predetermined tolerance range thereby identifying a potential defect in assembling the physical product.

Abstract: A method, computer system, and a computer program product are provided for authenticating a user. An image of a skin portion of the user is obtained. One or more landmarks are identified from the image obtained. The landmark includes at least one skin anomaly. Each identified landmark is analyzed at least with respect to location, form, dimensions and distances between landmarks and body parts. A unique signal is generated based on the identification and analysis of one or more landmarks. The unique signal is then stored for authentication of the user.