Abstract: One or more computer processors generate a network fractal based on one or more predicted network conditions for a network that includes a change in user density, user device latency, and network throughput, wherein the network fractal is a deployment template comprised of a plurality of nodes. The one or more computer processors select a configuration of network infrastructure devices placed at each node in the plurality of nodes comprised in the generated network fractal. The one or more computer processors modify the network utilizing the generated network fractal and the selected configuration of network infrastructure devices. The one or more computer processors deploy the modified network.

Abstract: A computer-implemented method includes: receiving, by a computer device, preference information from a plurality of people, the preference information including an individual level of preference for various activities for each of the people; receiving, by the computer device, biometric data of the people, the biometric data relating to the various activities; building, by the computer device, a corpus of relationships between the preference information and the biometric data; receiving, by the computer device, biometric data of a user; and predicting, by the computer device, a user level of preference with a particular activity of the various activities, the predicting being based on a comparison of the biometric data of the user and the biometric data of the people who participated in the particular activity.

Abstract: Techniques are described with respect to facilitating client ergonomic support. An associated method includes receiving a plurality of posture datapoints associated with multiple clients and constructing a machine learning knowledge model based upon the plurality of posture datapoints in order to identify a plurality of predefined ergonomic support design elements. The method further includes receiving client-specific posture datapoints associated with a first client and analyzing, via the machine learning knowledge model, the client-specific posture datapoints in view of the plurality of posture datapoints in order to select an initial ergonomic support design element among the plurality of predefined ergonomic support design elements. The method further includes facilitate printing of the initial ergonomic support design element for a seat component associated with the first client.

Abstract: A system including sensors configured to provide physiological markers of a developer and a controller configured provide information indicative of a user experience to the developer while receive signals from the sensors. The controller is configured to utilize cognitive analysis determine developer emotion responses as the developer receives the user experience. The controller compares a developer emotion classification with a user emotion classification of a user as the user generated the user experience. The system generates a prioritized backlog to identify points where emotion responses between user and developer are in common, or where emotion responses between user and developer differ.

Abstract: In an approach for derivation of progressively variant dark data utility for legacy system candidate microservices, a processor analyzes a variability of data stored in a legacy system for a plurality of data metrics. A processor measures, for each data metric, a utility of the data using an intra-analysis and a meta-analysis. A processor correlates the plurality of data metrics to candidate microservices. A processor generates insights for the candidate microservices based on the utility of the data.

Abstract: Aspects of the present disclosure relate to context based saving of content. A set of conditions for automatically saving content for a user currently engaged with savable content can be received. A current context of the user currently engaged with savable content can be determined. The current context of the user can be compared to the set of conditions to determine whether automatically saving the savable content should be completed. The savable content can be automatically saved in response to determining that automatically saving the savable content should be completed.

Abstract: Embodiments of the present invention provides a systems and methods for pest control. The system detects one or more pests based on receiving sensor data from one or more sensors associated with a predefined location. The system analyzes the sensor data with cognitive machine learning based on the detected pests. The system generates a treatment recommendation report based on the analysis and outputs the treatment recommendation report.

Abstract: A paint-line hook for vehicle shocks includes a tube, an eye fixed to the tube, and a bracket fixed to the tube below the eye. The tube has a bottom end and a bore extending through the bottom end. The bracket defines a channel configured to engage a mount of a vehicle shock. A latch is rotatably supported by the tube. The tube includes a slot in communication with the bore. The latch extends through the slot and has a handle exterior to the slot and an end positioned to engage a threaded shaft of a vehicle shock in the bore. A vehicle shock may be retained in the tube and the tube acts as a paint shield during paint application to the vehicle shock.

Abstract: A computer-implemented method, a computer program product, and a computer system for dynamically creating a composition reference video to support a user activity. In response to that a user selects a reference video for performing an activity, the computer system identifies a search query of a reference video. The computer system identifies personalized parameters of the user, based on a knowledge corpus user preferences of performing activities, and the search query. The computer system identifies appropriate videos and video transcripts in an online video repository and identifies textual contents through document and text search, based on a prediction about how the user is to perform the activity. The computer system draws series of images based on the textual contents. The computer system normalizes contents from the appropriate videos and the series of images and normalizes voices in the contents from the appropriate videos.

Abstract: A method includes: defining, by a computer device, an audio collaborative environment; defining, by the computer device, an access control of the audio collaborative environment, wherein the access control includes a geofence; receiving, by the computer device, a request from at least one user device to connect to the audio collaborative environment; determining, by the computer device, the at least one user device satisfies the access control; connecting, by the computer device, the at least one user device to an audio channel of the audio collaborative environment; recording, by the computer device, audio data transmitted on the audio channel by the at least one user device; storing, by the computer device, the audio data in a record; tagging, by the computer device, respective portions of the audio data in the record; and presenting one of the respective portions of the audio data to a user based on the tagging.

Abstract: Facial scanning data of an authorized user is received for requested access to a computing device. A facial expression of the facial scanning data is determined to match a predetermined facial expression. In response to identifying that the facial expression matches the predetermined facial expression, the computing device is caused to provide a set of functionality that correlates to the predetermined facial expression.

Abstract: In an approach for monitoring data usage in an IoT network, a processor identifies a set of IoT devices. A processor collects a set of baseline readings for the set of IoT devices. A processor collects a set of IoT data from the set of IoT devices as a user answers a survey question. A processor compares the set of baseline readings to the set of IoT data. A processor derives an emotional state of the user while answering the survey question. A processor builds a CART model using the set of baseline readings, the set of IoT data, and a set of survey data. A processor applies the emotional state as a weight to the CART model. A processor outputs the weighted CART model.

Abstract: A computer-implemented method, a computer program product, and a computer system for dynamically creating a composition reference video to support a user activity. In response to that a user selects a reference video for performing an activity, the computer system identifies a search query of a reference video. The computer system identifies personalized parameters of the user, based on a knowledge corpus user preferences of performing activities, and the search query. The computer system identifies appropriate videos and video transcripts in an online video repository and identifies textual contents through document and text search, based on a prediction about how the user is to perform the activity. The computer system draws series of images based on the textual contents. The computer system normalizes contents from the appropriate videos and the series of images and normalizes voices in the contents from the appropriate videos.

Abstract: Embodiments of the present invention disclose a method, computer program product, and system for generating hashtags. The method comprises receiving content to be posted on a social media service and analyzing the content to identify at least one item included in the content. Generating a first hashtag tree, wherein the content of the first hashtag tree contains information that indirectly relates to the identified at least one item, wherein the first hierarchical hashtag tree is comprised of multiple levels, wherein the first hierarchical hashtag tree includes words or phrases indirectly relates to the identified at least one item. Generating at least one hashtag from the first hierarchical hashtag tree and adding the at least one hashtag to the content and posting the content and the added at least one hashtag to the social media service, wherein the at least one hashtag is automatically added.

Abstract: A processor may load one or more potential updates to a trusted source from an identified trusted source. The processor may determine acceptable update windows. The processor may apply at least one of the one or more potential updates to the computing device. The processor may identify if a steady state has been reached. The processor may determine whether the at least one update has succeeded.

Abstract: A lighting system includes a plurality of nodes arranged in a serial network. The lighting system has a master node, one or more gateway nodes, a first communication bus connecting the one or more gateway nodes to the master node, a plurality of slave nodes such that each slave node is connected to a lighting source and is arranged for conveying data messages, and one or more second communication buses, each connecting one of the gateway nodes with one or more slave nodes of the plurality. The master node is arranged for conveying a unique network address to the one or more gateway nodes via the first communication bus, and the one or more gateway nodes are arranged for conveying a unique network address to the plurality of slave nodes via one of the second communication buses. At least one gateway node is arranged for storing a lighting plan for lighting one or more slave nodes connected to that gateway node.

Abstract: Presentation of multimedia content comprising at least one advertisement and at least a portion of metadata pertaining to the at least one advertisement is detected. A spoken utterance of a user is detected. A computer-understandable meaning of the spoken utterance by performing natural language processing on the spoken utterance. Whether the spoken utterance pertains to a product or service indicated in the at least one advertisement can be determined by comparing the computer-understandable meaning of the spoken utterance to the at least the portion of metadata pertaining to the at least one advertisement and whether the computer-understandable meaning of the spoken utterance indicates that the user chooses to order the product or service indicated in the at least one advertisement can be determined. If both determinations are affirmative, an order for the product or service indicated in the at least one advertisement can be automatically placed.

Abstract: A security application may monitor applications attempting to be installed on a user device. In one example, various steps may include at least one of: receiving an application access operation on a computing device, identifying at least one application action associated with the application access operation, retrieving an application security profile stored in memory, identifying at least one application security restriction in the application security profile related to the at least one application action, restricting the at least one application action from occurring based on the at least one application security restriction and notifying a pre-registered device responsive to restricting the at least one application action.

Abstract: A ventilator (100), for mechanical ventilation of a patient (102), includes a sensor unit that measures a course profile (114) of gas flow-dependent measured values (115) in a ventilation circuit (105) of the ventilator and outputs a corresponding sensor signal (116). A plurality of ventilation parameters (122) of a provided ventilation mode, stored in a memory unit (120), indicate an inspiration time (124) of the ventilation currently provided and a subsequent expiration time (126) for a corresponding breathing cycle. A processing unit (130) is configured to receive the sensor signal, to determine at least one current end-expiratory gas flow (132) based on the course profile and to adjust a ratio (136), between the inspiration time and the expiration time, for the current ventilation mode depending on a comparison between the determined current end expiratory gas flow and a lower threshold value (134) and/or an upper threshold value (135).

Abstract: A neural network system for generating a quality assurance alert is provided. A computing device analyzes a quality assurance profile. A computing device arranges data in neurons of, at least, a first layer of a neural network. A computing device generates a threshold level of prediction of quality assurance based, at least in part, on output data from a neural network. A computing device applies output data from a neural network to a regression profile to determine a probability that a quality assurance issue will occur. A computing device generates a message that includes a quality assurance evaluation based, at least, on the determined probability that the quality assurance issue will occur.