Abstract: Embodiments of the invention provide a computer-implemented method that includes intercepting, using a controller of a programmable network (PN), a deployment of a control application in the PN. Responsive to intercepting the deployment of the control application, a user experience (UE) analysis is performed. The UE analysis includes determining, based at least in part on a set of digital twins, a UE impact of the control application; and, based at least in part on the UE impact, generating a UE-based control application deployment recommendation. The UE analysis further includes deploying the control application based at least in part on the UE-based control application deployment recommendation.

Abstract: A method, computer system, and a computer program product for detecting face mask usage based on a crowd sound is provided. The present invention may include capturing an audio stream including a crowd voice data. The present invention may also include analyzing the crowd voice data using a machine learning model to determine an amount of people wearing masks. The present invention may further include in response to determining that the amount of people wearing masks does not meet a compliance threshold, displaying a content to promote face mask usage.

Abstract: Techniques for data evaluation and optimized resource allocation are provided. Usage data is received collected from at least one sensor in a physical location, where the usage data indicates consumption of an item. The usage data is aggregated within a predefined cluster, where the predefined cluster corresponds to a geographic area. Future consumption of the item is predicted based at least in part on evaluating the usage data using one or more cognitive models. A recommended reconfiguration of one or more aspects of production for the item is generated, based on the predicted future consumption.

Abstract: An example operation may include one or more of storing existing chaincode relationships of a group of blockchain peers within a blockchain network, identifying a new chaincode to implement for one or more blockchain peers among the group of blockchain peers of the blockchain network based on the existing chaincode relationships among the group of blockchain peers, and transmitting a message to the one or more blockchain peers with a suggestion to implement the new chaincode.

Abstract: Techniques for maintaining a knowledge database system based on user interactions with the database system are described herein. An aspect includes generating a user interface based on a knowledge database comprising a plurality of entities, wherein the user interface comprises a plurality of user interface elements, each user interface element of the plurality of user interface elements corresponding to one or more of the plurality of entities of the knowledge database. Another aspect includes receiving a user interaction corresponding to the user interface. Another aspect includes updating the knowledge database based on the received user interaction, wherein updating the knowledge database based on the received user interaction includes determining a user interface element associated with the received user interaction, mapping the determined user interface element to a first entity of the plurality of entities of the knowledge database, and performing a weight update corresponding to the first entity.

Abstract: The exemplary embodiments disclose a method, a computer program product, and a computer system for determining a personalized weather forecast. The exemplary embodiments may include collecting data of a user and weather conditions of a location, extracting one or more features from the collected data, and determining a personalized weather forecast of the location for the user based on the extracted one or more features and one or more models.

Abstract: Dynamically changing a content based on a user-defined context includes receiving, by one or more processors, input data from a user, the input data includes at least one document with an annotated part identifying a first content element, the first content element is associated with a first content type. The one or more processors determine a context information associated with the annotated part and extract the annotated part. A first replacement for the first content element is retrieved from a first data source selected based on the content information. The one or more processors replace the first content element in the at least one document with the first replacement.

Abstract: Dynamically changing a content based on a user-defined context includes receiving, by one or more processors, input data from a user, the input data includes at least one document with an annotated part identifying a first content element, the first content element is associated with a first content type. The one or more processors determine a context information associated with the annotated part and extract the annotated part. A first replacement for the first content element is retrieved from a first data source selected based on the content information. The one or more processors replace the first content element in the at least one document with the first replacement.

Abstract: A method of managing livestock includes selecting an area of interest (AOI) from among a plurality of AOIs as a target AOI, defining a route along which livestock is to be guided to the target AOI, guiding the livestock to the target AOI via the defined route using an unmanned aerial vehicle (UAV), identifying a stress condition of the livestock using the UAV, and reducing the stress condition of the livestock using the UAV. Identifying the stress condition includes identifying an animal not belonging to the livestock causing stress in at least one animal belonging to the livestock. Reducing the stress condition includes diverting the identified animal not belonging to the livestock away from the livestock by adjusting the distance of the UAV relative to the identified animal.

Abstract: Techniques for data evaluation and optimized resource allocation are provided. Usage data is received collected from at least one sensor in a physical location, where the usage data indicates consumption of an item. The usage data is aggregated within a predefined cluster, where the predefined cluster corresponds to a geographic area. Future consumption of the item is predicted based at least in part on evaluating the usage data using one or more cognitive models. A recommended reconfiguration of one or more aspects of production for the item is generated, based on the predicted future consumption.

Abstract: Techniques for maintaining a knowledge database system based on user interactions with the database system are described herein. An aspect includes generating a user interface based on a knowledge database comprising a plurality of entities, wherein the user interface comprises a plurality of user interface elements, each user interface element of the plurality of user interface elements corresponding to one or more of the plurality of entities of the knowledge database. Another aspect includes receiving a user interaction corresponding to the user interface. Another aspect includes updating the knowledge database based on the received user interaction, wherein updating the knowledge database based on the received user interaction includes determining a user interface element associated with the received user interaction, mapping the determined user interface element to a first entity of the plurality of entities of the knowledge database, and performing a weight update corresponding to the first entity.

Abstract: An example operation may include one or more of storing existing chaincode relationships of a group of blockchain peers within a blockchain network, identifying a new chaincode to implement for one or more blockchain peers among the group of blockchain peers of the blockchain network based on the existing chaincode relationships among the group of blockchain peers, and transmitting a message to the one or more blockchain peers with a suggestion to implement the new chaincode.

Abstract: Resource usage is monitored for a hybrid cloud computing environment having on-premises computing resources and off-premises computing resources, for at least a first time period. For the time period, the amount of the on-premises computing resources and off-premises computing resources are related to the demand for computing services from the environment. Future demand for computing services from the environment is dynamically predicted based on the relating step and a learned function of the demand and/or a projection of future business growth for a business utilizing the on-premises and off-premises computing resources. Based on the predicted future demand, the amount of the on-premises computing resources is dynamically optimized for a future time period, so as to minimize costs for the future time period; and new amounts of on-premises computing resources and off-premises computing resources are provisioned for the future time period, in accordance with the optimizing step.

Abstract: A computer-implemented method, a computer program product, and a computer system for dynamically streaming social media live content and displaying advertisements. A server identifies characteristics of crowd members who log in wireless network access points in an environment having displays and consume social media live content produced by digital influencers. The server extracts features of the social media live content. The server matches the social media live content to the crowd members, based on the features of the social media live content and the characteristics of the crowd members. The server determines selected social media live content. The server matches the selected social media live content to advertisements, based on the features of the social media live content and information of the advertisements. The server determines selected advertisements. The server streams the selected social media live content and displays the selected advertisements on the displays.

Abstract: A method for identifying seismic horizons in digitized seismic images includes deploying a swarm of agents at an initial position in a seismic image to be analyzed, where the swarm of agents includes picking agents that define a direction for the swarm and averaging agents that smooth the direction of the swarm, identifying a direction to follow in the seismic image for each picking agent, and advancing each picking agent in the identified direction, and averaging, by the averaging agents, the directions identified by the picking agents, wherein if an information concentration measured by a picking agent at a current time step is greater than a previous time step, the picking agent keeps a previous direction, otherwise the picking agent changes direction according to the average current state of the set of averaging agents within its neighborhood.

Abstract: A method of monitoring body sounds using a sensor including an array of microphones, the method includes acquiring a first sound produced by certain physiology using the array of microphones of the sensor, identifying a source of the first sound, performing an automatic auscultation of the source using the first sound, wherein the automatic auscultation including matching the first sound to an acoustic model stored in a memory, wherein the acoustic model corresponds to a physiology, generating an image representing the physiology using an image library, and determining a health condition using the physiology and the image.

Abstract: In response to receiving an input of a user criteria for operating a system, one or more predictive models are selected in dependence on the user criteria. The predictive models predict behavior of the system and are stored in the memory with one or more system performance models that control operation of the system. The selected performance model(s) is implemented to select a subset of sensors that monitor physical conditions of the system and/or environmental parameters thereof, and is also used to select one or more of the system performance models that conform to the user criteria. One or more actuators associated with the system are controlled according to inputs received from the selected subset of sensors and the selected performance model(s). The same concepts are valid for other areas rather than maintenance, like optimization in the area of the internet of things, dynamic system reconfiguration, preventive healthcare.

Abstract: A method of managing livestock includes selecting an area of interest (AOI) from among a plurality of AOIs as a target AOI, defining a route along which livestock is to be guided to the target AOI, guiding the livestock to the target AOI via the defined route using an unmanned aerial vehicle (UAV), identifying a stress condition of the livestock using the UAV, and reducing the stress condition of the livestock using the UAV. Identifying the stress condition includes identifying an animal not belonging to the livestock causing stress in at least one animal belonging to the livestock. Reducing the stress condition includes diverting the identified animal not belonging to the livestock away from the livestock by adjusting the distance of the UAV relative to the identified animal.

Abstract: A method, apparatus, computer system, and computer program product for managing processing of tasks by network devices. A computer system receives a task to process for a user. The computer system identifies a group of the network devices in the computer system assigned to the user for processing the task based on capabilities of the group of the network devices and a task history of task processing by the group of the network devices. The computer system schedules a performance of the task by a selected network device in the group of the network devices. The task is performed by the selected network device in the computer system such that the tasks are processed by sharing workloads among the network devices.

Abstract: A method of monitoring body sounds using a sensor including an array of microphones, the method including acquiring a first sound produced by certain physiology using the array of microphones of the sensor, identifying a source of the first sound, performing an automatic auscultation of the source using the first sound, wherein the automatic auscultation including matching the first sound to an acoustic model stored in a memory, wherein the acoustic model corresponds to a physiology, generating an image representing the physiology using an image library, and determining a health condition using the physiology and the image.