Abstract: A pending data migration is detected, that is related to a set of one or more data blobs. The set of data blobs are stored on a source cloud object data store. The set of data blobs are retrieved, from the source cloud object data store. A security requirement for the set of data blobs is identified based on the set of data blobs and based on the source cloud object data store. A set of one or more potential target cloud object data stores from a set of additional cloud object data stores is determined. The set of data blobs is assigned, in response to the determination, to a first potential target cloud object data store of the set of potential target cloud object data stores. The assignment is based on the security requirement.

Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: obtaining clothing article data stream data from one or more internet of things (IoT) device disposed in a computing environment, wherein the computing environment is collocated with a residence of a user, the clothing article data stream data representing one or more clothing article of the user; examining data of the clothing article data stream data to determine at least one clothing article parameter value of the one or more clothing article; in dependence at least one clothing article parameter value of the one or more clothing article, and providing user profile data that specifies predicted behavior of the user.

Abstract: Computer-implemented methods, computer program products, and computer systems for detecting and resolving fraudulent calls. The computer-implemented methods include one or more processors configured for receiving voice call data corresponding to an incoming telephone call placed to a user device, wherein the voice call data comprises caller voice data. Further, the computer-implemented methods may include one or more processors configured for converting the caller voice data to caller text data comprising one or more text phrases. Further embodiments of the computer-implemented method include processors configured for determining that the one or more text phrases satisfies a first condition, and responsive to determining that the one or more text phrases satisfies the first condition, transmitting a user alert to the user device.

Abstract: Some embodiments provide a method that identifies a first number of requests received at a first application. Based on the first number of requests received at the first application, the method determines that a second application that processes requests after processing by the first application requires additional resources to handle a second number of requests that will be received at the second application. The method increases the amount of resources available to the second application prior to the second application receiving the second number of requests.

Abstract: Some embodiments provide a method for scaling a service chain that includes multiple services, each of which is provided by one or more instances of the service. The method identifies that a first service in the service chain has received a number of requests. For each service in the service chain, the method (i) identifies a scaling factor that estimates a portion of requests received at the first service that will be subsequently received at the service and (ii) deploys a number of additional instances of the service based on the identified scaling factor for the service and the number of requests received at the first service.

Abstract: The present invention relates to biocide-composites providing high retention of biocides in glueline-treated glued-wood products that are hot-pressed or hot-pressed and block-stacked during manufacture.

Abstract: A method to automatically adjust a user interface of a mobile device for readability is provided. A processor retrieves an external capture of a display of a mobile device. A processor converts text in the external capture to a computer readable format. A processor determines a readability index of the external capture based on a comparison of the text in the external capture to user interface data of the mobile device. A processor, in response to the readability index being below a threshold value, adjusts at least one display parameter of a user interface of the mobile device.

Abstract: In an approach to verifying and flagging negative feedback, one or more computer processors monitor one or more websites for product feedback associated with a failed component of a product. One or more computer processors determine the product feedback is detected. One or more computer processors determine the product feedback is negative. One or more computer processors determine whether the failed component is present in a corresponding blockchain ledger. In response to determining the failed component is not present in a corresponding blockchain ledger, one or more computer processors refute the product feedback.

Abstract: A computer-implemented method for avatar rendering of virtual presentations is disclosed. The computer-implemented method includes extracting visual content from a presentation. The computer-implemented method further includes extracting audio content from the presentation. The computer-implemented method includes correlating the visual content with the audio content of the presentation. The computer-implemented method includes generating a virtual avatar to dynamically render a virtual presentation to a viewer, based at least in part, on the correlated visual content and audio content of the presentation.

Abstract: Using machine logic (for example artificial intelligence (AI) software) to assemble emergency equipment during an emergency, with the help of UAVs for transport. Also, using machine logic to design purpose built emergency equipment during an emergency.

Abstract: A method, computer system, and a computer program product for artificial intelligence-based virtual meeting presentation oversight are provided. A stream of a virtual meeting having a first computer designated for screen sharing control is received. A broadcast hindrance update from the first computer is received. The broadcast hindrance update is input into a machine learning model. As output from the machine learning model a recommendation regarding switching of the screen sharing control is received. In response to the receiving and to the recommendation indicating that the screen sharing control should be switched, a control switching signal is sent to a second computer participating in the virtual meeting.

Abstract: A computer-implemented method, a computer system and a computer program product enhance user interaction with a virtual or augmented environment. The method includes obtaining a user profile. The user profile includes a constraint of a user. The method also includes identifying a plurality of objects in the augmented reality environment. In addition, the method includes determining an intent of the user with respect to navigating the augmented reality environment. The method further includes calculating a probability of interaction between the user and an identified object based on the intent. Lastly, the method includes generating an enhancement threshold for each of the identified objects based on the probability of interaction and the constraint of the user.

Abstract: A computer-implemented method, a computer system and a computer program product enhance user interaction with a virtual or augmented environment. The method includes obtaining a user profile. The user profile includes a constraint of a user. The method also includes identifying a plurality of objects in the augmented reality environment. In addition, the method includes determining an intent of the user with respect to navigating the augmented reality environment. The method further includes calculating a probability of interaction between the user and an identified object based on the intent. Lastly, the method includes generating an enhancement threshold for each of the identified objects based on the probability of interaction and the constraint of the user.

Abstract: Disclosed herein are various embodiments a code simplification system. An embodiment operates by determining that a software version of a coordinator node is different from a software version of one or more worker nodes, Commits by the one or more worker nodes to a database are disabled based on the determination that the software versions differ. An update is performed on each of the one or more worker nodes. An acknowledgement that the update on each of the one or more worker nodes has completed is received, and the commits to the database by the one or more worker nodes is enabled.

Abstract: An approach for maintaining pipeline infrastructure based on graphical images is disclosed. The approach receives a plurality of parameters in a pipeline infrastructure by using a plurality of sensors. The approach generates a digital twin of the determined one or more susceptible and/or vulnerable points/areas/joints in the pipeline infrastructure. The approach simulates the determined susceptible areas/points/joints in the pipeline infrastructure for determining one or more damages and/or defects. The approach predicts one or more proactive maintenance actions based on the determined damage and/or defect in the pipeline infrastructure to prevent the users from being near the susceptible area/joints/portions and prioritizing the proactive maintenance actions based on the level and extent of damage and/or defect.

Abstract: One or more computer processors derive a base corpus by capturing time series haptic data from an artisan performing an artisanal skill comprising a plurality of artisanal actions, wherein each artisanal action in the plurality of artisanal actions is associated with a time interval. The one or more computer processors train a multi-agent reinforcement learning (MARL) model utilizing the derived base corpus, wherein the MARL model outputs a vector representing one or more predicted artisanal actions required to complete the artisanal skill. The one or more computer processors generate a training avatar utilizing a trained generated adversarial network fed with one or more user parameters identified from a user requesting guidance for the artisanal skill and the output vector of the trained MARL model. The one or more computer processors guide the user with the generated training avatar in an execution of the artisanal skill.

Abstract: A method for determining a cathodic current (such as from a cathodic protection system) in a tubular disposed within a wellbore drilled in a subterranean zone. A electromagnetic tool disposed within the tubular includes an electromagnetic transmitter, an electromagnetic receiver, a helical transmitter coil, and a helical receiver coil. An axis of the helical transmitter coil and an axis of the helical receiver coil are substantially parallel to an axis of the tubular. An electromagnetic field is transmitted by flowing a first electrical current to the helical transmitter coil. During the transmitting, an electromagnetic signal is received by the electromagnetic receiver via the helical receiver coil. A second electrical current is calculated based on the electromagnetic signal received by the electromagnetic receiver. A magnitude of the cathodic current flowing through the tubular is calculated based on a difference between the first electrical current and the second electrical current.

Abstract: Provided is a computer-implemented method, system, and computer program product for dynamically configuring a virtual private network (VPN) protocol of a VPN tunnel. A processor may analyze data activity associated with a first device, where the first device is connected to a second device using a VPN tunnel. The processor may compare the analyzed data activity to a set of policies for determining a VPN protocol to apply to the VPN tunnel. The processor may identify, based on the comparing, a first VPN protocol from a plurality of VPN protocols. The processor may apply the first VPN protocol to the VPN tunnel.

Abstract: State of the art networking solutions are tightly coupled and proprietary in nature due to multiple vendors in the networking domain. Embodiments of the present disclosure provide a method and system for management and orchestration of heterogeneous network environment using dynamic, robust and network aware microservices. The method enables a platform for automatically and dynamically identifying appropriate group of microservices in accordance with network type and service type specified by the user, thus providing a solution that generates network aware microservices for each network in the heterogeneous network landscape. Furthermore, the system manages the identified microservices for each of the network by managing the life cycle of these microservices. The right life cycle management and co-ordination of the microservices for the network is in-line with desired goals/business logic, in a reliable and scalable manner, in heterogeneous network environments.

Abstract: A method, text correction system, and computer program product, one embodiment of which may comprise receiving an original first message from a first participant of a group correspondence, receiving a second message from a second participant of the group correspondence, determining, by semantically analyzing the original first message and the second message, that the second message contains a desired modification of the original first message, and in response to the determining, automatically modifying the original first message with the desired modification to produce a modified first message. The second message may be received after the original first message. Optionally, some embodiments may further comprise presenting the modified first message to the first participant of the group correspondence for approval, and in response to an approval by the first participant of the group correspondence, presenting the modified first message to one or more other participants of the group correspondence.