Abstract: Method, computer program product, and computer system are provided. A content generation service receives a request to generate a presentation for an online meeting having attendees comprising different roles. The content generation service receives content for a generic presentation. One or more portion of a page or an entire page of the generic presentation is defined as customizable. Labels are assigned to each of the customizable portions of the generic presentation. Each label is associated with a role of an attendee in the online meeting. Customized content is received for each customizable portion. The customized content is associated with the label of the customizable portion. The generated presentation is stored separately in content object storage, as is each associated customized content.

Abstract: Disclosed are techniques for managing retractable privacy partitions to dynamically subdivide spaces in buildings into sub-spaces (or rooms). Retractable privacy partitions are distributed throughout a given space in a building such that the retractable privacy partitions can completely retract into a surface of the given space (for example, the floor or ceiling) such that when they are fully extended, the retractable privacy partitions create separate rooms within the given space, and when fully retracted, the retractable privacy partitions do not significantly impede movement or sightlines throughout the given space. Further disclosed are techniques to manage the retractable privacy partitions based on properties indicative of demand for rooms of various sizes within the given space. Some embodiments further disclose retractable privacy partitions including switchable glass to provide additional flexibility through dynamic opacity along with dynamic extension/retraction of the partitions.

Abstract: A communication method, applied to a master device, includes: determining, according to the number of controlled devices and a preset time slot length, detection cycles and detection timing of various controlled devices in a detection cycle; receiving, in a time slot in the detection cycle, an ultrasonic sweep signal sent by the controlled device; and determining, according to the detection timing and the ultrasonic sweep signal, a detection result of the master device and a controlled device.

Abstract: A method, computer system, and a computer program product for mapping is provided. The present invention may include locating an asset using an unmanned vehicle (UV), where the asset include a sensor device that is not mapped to the asset. The present invention may also include recording, using the UV, a sensor identifier of the sensor device. The present invention may include recording a location of the sensor device based on determining a location of the UV when the sensor device is detected. The present invention may further include registering the recorded sensor identifier of the sensor device with the asset to map the sensor device to the asset.

Abstract: Described are techniques for generating an adaptive data protocol for an IoT network having a plurality community networks of IoT devices. The techniques include determining a data synchronization policy associated with Internet of Things (IoT) devices contained in a plurality of community networks within an IoT network. The techniques further include determining a data sharing policy associated with the IoT devices in the IoT network. The techniques further include analyzing transactions of the data synchronization policy and the data sharing policy to identify transactional inefficiencies in the data synchronization policy and the data sharing policy. The techniques further include generating an adaptive data protocol to increase transactional efficiency within the IoT network based on the analyzing of the data synchronization policy and the data sharing policy.

Abstract: Embodiments generally relate to tracking food safety in a supply chain. In some embodiments, a method includes receiving a case identifier associated with a case of food, retrieving food information concerning the food items, analyzing the food information to determine an in-use portion of a distribution path, and associating the case identifier with user identifiers associated with candidate users determined to have purchased one or more of the food items. The method further includes receiving an incident notification message including an indication of a problem with the food item associated with the case, and identifying the case identifier associated the food item associated with the food item identifier in the incident notification message, and retrieving the one or more user identifiers associated with the case identifier, and sending one or more problem notification messages to one or more client devices of one or more candidate users.

Abstract: In an approach to AI empowered factory automation using an industrial IoT, responsive to receiving a new production task, production requirements are input into an AI engine. Equipment and software containers are selected based on the AI model. An orchestration service is created, where the orchestration service collaborates the equipment and the software containers.

Abstract: Approaches presented herein enable optimizing venue scheduling. More specifically, a respective future availability of the venues is determined based upon booking calendars of the venues. Future events of attendees are forecasted based upon a respective current status and location of the attendees, and respective personal calendars of the attendees. Bookings of the venues are optimized based upon the determining and the forecasting, and the booking calendars of the venues and the respective personal calendars of the attendees are updated based upon the optimizing.

Abstract: A processor may control air quality in an enclosed space. A processor may receive an external air condition index dataset associated with a geographical location. A processor may receive an internal air condition index dataset from one or more data collection devices in the enclosed space. A processor may apply an optimization criteria to the external air condition index dataset and the internal air condition index dataset. A processor may, responsive to applying the optimization criteria, determine an air exchange plan. The processor may perform the air exchange plan.

Abstract: Blockchain based IoT data management can include receiving IoT data are with one or more processing units. At least one aggregation pattern of the IoT data can be determined by one or more processing units. The IoT data can be hashed, based upon the at least one aggregation pattern to obtain hash values of the IoT data by one or more processing units. The hash values can be sent to a blockchain system for storing by one or more processing units.

Abstract: Disclosed are techniques for managing retractable privacy partitions to dynamically subdivide spaces in buildings into sub-spaces (or rooms). Retractable privacy partitions are distributed throughout a given space in a building such that the retractable privacy partitions can completely retract into a surface of the given space (for example, the floor or ceiling) such that when they are fully extended, the retractable privacy partitions create separate rooms within the given space, and when fully retracted, the retractable privacy partitions do not significantly impede movement or sightlines throughout the given space. Further disclosed are techniques to manage the retractable privacy partitions based on properties indicative of demand for rooms of various sizes within the given space. Some embodiments further disclose retractable privacy partitions including switchable glass to provide additional flexibility through dynamic opacity along with dynamic extension/retraction of the partitions.

Abstract: In an approach to AI empowered factory automation using an industrial IoT, responsive to receiving a new production task, production requirements are input into an AI engine. Equipment and software containers are selected based on the AI model. An orchestration service is created, where the orchestration service collaborates the equipment and the software containers.

Abstract: A method for mapping sensor data to a plurality of properties comprises acquiring sensor data from a sensor, and training a first classification model using data values of sample sensor data to identify patterns for each of the plurality of properties. Each of the patterns corresponds to a different one of the plurality of properties. The method further comprises training a second classification model using a mapping of variables to property types of the sample data to identify associations between the variables and the plurality of properties, and associating subsets of the sensor data with the plurality of properties by processing the sensor data with the first classification model and the second classification model.

Abstract: A crossbeam for measuring deformation velocities of a surface of a material under a dynamic load includes a crossbeam body, a first type of velocimeter and a second type of velocimeter-mounted on the crossbeam body. The crossbeam body is mounted on a measurement carrier. The measurement carrier is configured to move along the surface of the material and apply a dynamic load to the surface. The first type of velocimeter is configured to measure the vertically resilient deformation velocity of the surface behind an action force of the dynamic load. The second type of velocimeter is configured to measure the vertical downward deformation velocity of the surface in front of the action force of the dynamic load. The vertically resilient deformation velocity and the vertically downward deformation velocity of the surface can be simultaneously and quickly obtained by the first and second types of velocimeters.

Abstract: Aspects of the invention include retrieving, by a processor, a list of participants invited to a meeting, the list of participants including a first participant and a second participant. It is determined, by the processor, whether the first participant has previously interacted with the second participant. Output is provided, by the processor to a user interface of a user device. The output includes information about the second participant based at least in part on determining that the first participant has not previously interacted with the second participant. The output includes information about an interaction between the first participant and the second participant based at least in part on determining that the first participant has previously interacted with the second participant.

Abstract: The system, method, and computer program product described herein provide unified real-time rule analytics to users through the use of an analytics logic editor that allows a user to construct an analytic logic rule unit that may be used on both edge and cloud devices. The user may select a data source, transform, rule condition, and action using an interface of the analytics logic editor to construct an analytics logic rule unit that may be deployed to both edge and cloud devices in real-time without the need to separately program each device. The analytics logic rule unit may be installed and executed by the edge and cloud device in real-time.

Abstract: The system, method, and computer program product described herein provide unified real-time rule analytics to users through the use of an analytics logic editor that allows a user to construct an analytic logic rule unit that may be used on both edge and cloud devices. The user may select a data source, transform, rule condition, and action using an interface of the analytics logic editor to construct an analytics logic rule unit that may be deployed to both edge and cloud devices in real-time without the need to separately program each device. The analytics logic rule unit may be installed and executed by the edge and cloud device in real-time.

Abstract: Techniques are provided for blockchain based a data transformation. According to one aspect, a series of Internet of Things (IoT) data is received by one or more processing units. And at least one reference data set to the received series of IoT data are attached by one or more processing units. The received series of IoT data attached are processed, by one or more processing units, with at least one transformation module to obtain a processing result of the at least one reference data set. A hash value of the processing result is calculated by one or more processing units. The hash value of the processing result and a hash value of an expected result stored in a blockchain system are compared. In respond to the hash value of the processing result being not matched with the hash value of the expected result, the decision of the at least one transformation module having been tampered with is determined by one or more processing units.

Abstract: A method, computer system, and a computer program product for mapping is provided. The present invention may include locating an asset using an unmanned vehicle (UV), where the asset include a sensor device that is not mapped to the asset. The present invention may also include recording, using the UV, a sensor identifier of the sensor device. The present invention may include recording a location of the sensor device based on determining a location of the UV when the sensor device is detected. The present invention may further include registering the recorded sensor identifier of the sensor device with the asset to map the sensor device to the asset.

Abstract: Embodiments generally relate to tracking food safety in a supply chain. In some embodiments, a method includes receiving a case identifier associated with a case of food, retrieving food information concerning the food items, analyzing the food information to determine an in-use portion of a distribution path, and associating the case identifier with user identifiers associated with candidate users determined to have purchased one or more of the food items. The method further includes receiving an incident notification message including an indication of a problem with the food item associated with the case, and identifying the case identifier associated the food item associated with the food item identifier in the incident notification message, and retrieving the one or more user identifiers associated with the case identifier, and sending one or more problem notification messages to one or more client devices of one or more candidate users.