Abstract: In an approach, a processor identifies that a vehicle has been exposed to a first user, the first user associated with an infectious disease. A processor monitors, via a wireless ad hoc network, presence of a mobile device at a location of the vehicle. A processor identifies the presence of the mobile device at the location of the vehicle. A processor sends a notification to the mobile device, the notification specifying that the vehicle has been exposed to the infectious disease.

Abstract: A computer-implemented method for selectively excluding data from compression prior to uplink to a telecommunication system. In an embodiment, the method analyzing a request by an application, executing within a device, to wirelessly uplink data to a telecommunication node. The method further includes establishing a set of logical channels assigned to the application. The method further includes transferring the data among one or more logical channels, of the set of logical channels, based on a status flag related to data compression corresponding to the data. The method further includes determining that the data is transferred via a compression-disabled logical channel, of the set of logical channels. The method further includes responding to determining that the data is transferred via the compression-disabled logical channel by bypassing a data compression function prior to preparing the data for uplink. The method further includes uplinking the data to the telecommunication node.

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: A transitive closure data structure is constructed for a pair of features represented in a vector space corresponding to an input dataset. The data structure includes a set of entries corresponding to a set of all possible paths between a first feature in the pair and a second feature in the pair in a graph of the vector space. The data structure is reduced by removing a subset of the set of entries such that only a single entry corresponding to a single path remains in the transitive closure data structure. A feature cross is formed from a cluster of features remaining in a reduced ontology graph resulting from the reducing the transitive closure data structure. A layer is configured in a neural network to represent the feature cross, which causes the neural network to produce a prediction that is within a defined accuracy relative to the dataset.

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: A dataset comprising text-based messages can be accessed. Tokens for words and punctuation marks contained in the text-based messages can be generated. Each token corresponds to one word or one punctuation mark. A vector representation for each of a plurality of the tokens can be generated using natural language processing. A sequence of tokens corresponding to the text-based message can be generated for each of a plurality of the text-based messages in the dataset. Ones of the tokens that represent punctuation marks can be identified. An artificial neural network can be trained to predict use of the punctuation marks in sentence structures. The training uses the generated sequence of tokens and the vector representations for the tokens, in the sequence of tokens, that represent the punctuation marks.

Abstract: Techniques are described with respect to management of streaming content. An associated computer-implemented method includes registering an event with a streaming platform and detecting from a client system of a streaming contributor unsanctioned streaming content captured from the event. The computer-implemented method further includes determining whether a selected portion of the unsanctioned streaming content includes a token associated with the event. Responsive to determining that the selected portion of the unsanctioned streaming content includes the token, the computer-implemented method further includes regulating the unsanctioned streaming content according to a media infringement policy implemented by the streaming platform. According to an embodiment, the token is a barcode or a visual representation included on at least one artifact placed at a site of the event.

Abstract: Data security across data residency restriction boundaries is provided by obtaining and profiling a dataset on which a desired analysis is to be performed, with some results of the desired analysis to be transferred from one location to another, the dataset subject to data residency restrictions that restrict transfer of the dataset across a boundary to the another location, and the profiling identifying a profile level for the dataset, then automatically generating a container image based on the profile level and the data residency restrictions that restrict the transfer of the dataset across the boundary, the container image configured for instantiation and execution to process the dataset into a reformatted dataset not restricted by the data residency restrictions for transfer across the boundary, and storing the container image to a container registry.

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: Systems and methods for automated resolution of over-specification and under-specification in a knowledge graph are disclosed. In embodiments, a method includes: determining, by a computing device, that a size of an object cluster of a knowledge graph meets a threshold value indicating under-specification of a knowledge base of the knowledge graph; determining, by the computing device, sub-classes for objects of the knowledge graph; re-initializing, by the computing device, the knowledge graph based on the sub-classes to generate a refined knowledge graph, wherein the size of the object cluster is reduced in the refined knowledge graph; and generating, by the computing device, an output based on information determined from the refined knowledge graph.

Abstract: Described are techniques for differentiating humans from bots. The techniques including a computer-implemented method comprising presenting a motion-based challenge-response instruction to a user via a user interface of a first device of a plurality of devices associated with the user and communicatively coupled to one another by a network, where the motion-based challenge-response instruction describes at least one motion that is performable by the user and detectable by at least one of the plurality of devices, and where the motion-based challenge-response instruction is configured to differentiate humans from bots. The method further comprises determining that device data from one or more of the plurality of devices matches the at least one motion. The method further comprises authenticating the first device in response to determining that the device data matches the at least one motion, where authenticating the first device indicates that the user is a human.

Abstract: A computer-implemented method for generating a description of a target skill set using domain specific language, a computer program product, and a system. Embodiments may comprise, on a processor, ingesting a data set related to the target skill from a data store, semantically analyzing the data set to generate a skill ontology, generating a hyperplane to separate one or more priority skills from among the plurality of related skills, generating a description for the target skill from the one or more priority skills, and presenting the generated description to a user. The skill ontology may include relationships between the target skill and a plurality of related skills.

Abstract: A method, apparatus, computer system, and computer program product for managing a device. The method detects, by a computer system, a physical handling of the device to form a physical handling pattern for the device. The method determines, by the computer system, a baseline physical handling pattern for the device, wherein the baseline physical handling pattern for the device meets a set of handling metrics for the device. The method initiates, by the computer system, a set of actions in response to the physical handling pattern for the device deviating from the baseline physical handling pattern for the device.

Abstract: A collaborative security enhancement system for digital files is provided. A computing device detects a transfer of a digital file between a source device and a destination device in a given group of devices. The computing device generates a unique identifier (UID) for the transferred digital file. The computing device instructs that information relating to the digital file be stored in a record associated with the digital file, wherein the information includes: (i) an identification of the source device, (ii) an identification of the destination device; and (iii) the generated UID. The computing device identifies that the digital file has been contaminated. The computing device identifies a source of the contamination based, at least in part, on the stored information in response to identifying that the digital file has been contaminated.

Abstract: Techniques are described relating to data distribution and security in a multilayer storage infrastructure. An associated computer-implemented method includes receiving file data associated with a user for storage in a managed services domain, applying an ensemble learning model to devise a data distribution technique for the file data based upon contextual information associated with the user, and encrypting the file data. The method further includes, based upon the data distribution technique, dividing the file data to store among a cloud computing layer, a fog computing layer, and a local computing layer by performing a hash transformation and applying at least one cyclic error correcting code. In an embodiment, the method further includes receiving a data access request associated with the file data, authenticating the data access request, and restoring the file data via decryption.

Abstract: Provided is device linked context identification and notification. Context data of a user profile of a user is retrieved from an external storage. The context data is analyzed to place user activities of the user and surrounding activities around the user in activity categories and to assign tags for the user activities and the surrounding activities. In response to receiving a notification that shutdown of a first device being used by the user is about to occur, current context data and historical context data are compared to determine whether the current context data for the user is one of typical and unusual and to predict a future action of the user. A device shutdown notice is sent to a second device with the current context data, the determination of whether the current context data for the user is one of typical and unusual, and the prediction of the future action.

Abstract: A method and system for delivering a package is provided. The method includes receiving online order data comprising details associated with a product being ordered by a user. The online order data and environmental data associated with delivery of the product is analyzed and a resulting a travel route for delivering the product to a specified location of the user is generated. A delivery vehicle for delivering the product to the specified location of the user is selected and directed to a storage location of the product for loading. The delivery vehicle is directed from the storage location to the specified location of the user via the travel route. Delivery actions associated with the product with respect to the specified location are determined based on data indicating current environmental conditions. The delivery actions are executed.

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: Embodiments of the present invention provide methods, computer program products, and systems. Embodiments of the present invention can allocate a dedicated traffic channel to a plurality of connected devices. Embodiments of the present invention can dynamically determine an appropriate visualization for one or more connected devices of the plurality of connected devices based on received information. Embodiments of the present invention render the dynamically determined appropriate visualization for the one or more connected devices of the plurality of connected devices using the dedicated traffic channel.

Abstract: Embodiments for a method, computer system, and computer program product for vehicle maintenance prediction are provided. The embodiments may include receiving a course of a vehicle to navigate across a roadway. The embodiments may also include identifying one or more contextual changes as the vehicle navigates across the roadway. The embodiments may further include calculating an impact to vehicle maintenance due to vehicle traversal of the roadway based on the identified contextual changes. The embodiments may also include predicting a value associated with vehicle maintenance based on the calculated impact and the calculated cost.