Abstract: A processing system including at least one processor may detect an outage associated with at least one network element, apply at least one attribute of the at least one network element as at least a first input of a plurality of inputs to a machine learning model that is implemented by the processing system to obtain an output of the machine learning model indicative of an alarm smoothing interval, and present, in accordance with the alarm smoothing interval, an alarm indicative of the outage associated with the at least one network element.

Abstract: Methods, computer-readable media, and systems for automated quantification of the impact of software code reuse are disclosed. A method performed by a processing system including at least one processor includes estimating an amount of a piece of source code that comprises reused code, estimating a resource cost associated with a development of the piece of source code, estimating an amount of resources saved by using the reused code in the piece of source code, based on the resource cost and the amount of the piece of source code that comprises the reused code, and initiating a modification to the piece of source code in response to the amount of resources saved.

Abstract: Aspects of the subject disclosure may include, for example, obtaining a natural language statement of an optimization problem that is to be solved, analyzing the natural language statement to select a template included within a plurality of templates, generating a definition for the optimization problem using the template, constructing a model in accordance with the definition, resulting in a constructed model, and validating the constructed model, resulting in a validated model. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a method in which a processing system determines that performance of a service is required at a first location in a smart community; identifies a robot to be transported, and determines whether physical transport or virtual transport is to be performed for the robot. If physical transport is to be performed, the system initiates communication with a robot transport controller to schedule the physical transport to the first location from a different second location. If virtual transport is to be performed, the processing system initiates communication with a radio access network (RAN) to schedule the virtual transport; the virtual transport includes configuring the robot at the first location. Other embodiments are disclosed.

Abstract: A model-driven system automatically deploys a virtualized service, including multiple service components, on a distributed cloud infrastructure. A master service orchestrator causes a cloud platform orchestrator to retrieve a cloud services archive file, extract a cloud resource configuration template and create cloud resources at appropriate data centers as specified. The master service orchestrator also causes a software defined network controller to retrieve the cloud services archive file, to extract a cloud network configuration template and to configure layer 1 through layer 3 virtual network functions and to set up routes between them. Additionally, the master service orchestrator causes an application controller to retrieve the cloud services archive file, to extract a deployment orchestration plan and to configure and start layer 4 through layer 7 application components and bring them to a state of operational readiness.

Abstract: Aspects of the subject disclosure may include, for example, a device, including a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of receiving an original audio signal for an interval; creating a time-series graphical image of the original audio signal for the interval; compressing the time-series graphical image, thereby creating a reduced resolution image; recreating a retrieved audio signal from the reduced resolution image; determining whether a comparison of the retrieved audio signal to the original audio signal meets a quality threshold; responsive to meeting the quality threshold, compressing the reduced resolution image further and repeating the recreating and determining steps; and transmitting a last reduced resolution image that meets the quality threshold. Other embodiments are disclosed.

Abstract: An audio generation system is provided to enable coordinated control of multiple IoT devices for audio collection and distribution of one or more audio sources according to location and user preference. The audio generation system enables a location sensitive acoustic control of sound, both as a shaped envelope for a particular source, and as an individualized experience. The audio generation system also facilitates an interactive visual system for visualization and manipulation of the audio environment including via the use of augmented reality and/or virtual reality to depict soundscapes. The audio generation system can also facilitate a system for improving and achieving an audio environment (sound influence zone) and an intuitive way to understand where sounds will be heard.

Abstract: The technologies described herein are generally directed to using a transmission profile to provide availability and security options for communicating data in a fifth generation (5G) network or other next generation networks. For example, a method described herein can include identifying a transmission profile for a data item for transmission to a destination node, with the transmission profile including transmission parameters having an availability importance parameter applicable to an availability of the data item by the destination node and a security importance parameter applicable to a security applicable to transmission. The method can further include segmenting the data item into data segments comprising a first data segment and a second data segment. Further, the method can include, based on the transmission profile, selecting a first network route and a second network route for a transmission of the data segments.

Abstract: Aspects of the subject disclosure include, for example, identifying a primary serving cell and a secondary serving cell, wherein the primary serving cell facilitates one of attachment, re-attachment or mobility, or any combination thereof, of a mobile device in association with coordination of a wireless service between the primary serving cell, the secondary serving cell and the mobile device. A latency value associated with a message exchange is determined between the primary and secondary serving cells via a messaging interface, and compared to latency requirements, which correspond to a group of mobile service features. A mobile service feature of the group is associated with the wireless service based on the comparison. The wireless service includes a coordinated exchange of wireless signals between the primary serving cell and the mobile device and between the secondary serving cell and the mobile device based on the mobile service feature. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, receiving, at a device, a message over a communication network from a remote source, determining if the message includes executable code and initiating a virtual machine in an isolated portion of the memory of the device responsive to the determining the message include executable code. Aspects of the subject disclosure further include executing, by the virtual machine, the executable code within the isolated portion of the memory, monitoring, by an artificial intelligence module, activities of the executable code during the executing the executable code and determining if the executable code comprises malicious code responsive to the monitoring activities of the executable code. Aspects of the disclosure further include deleting the executable code from the device in response to a determination that the executable code comprises malicious code. Other embodiments are disclosed.

Abstract: A processing system including at least one processor may obtain a first input data set associated with a telephone number from a first service provider that implements a multi-factor authentication process for permitting an access to a service of the first service provider and may apply at least the first input data set to a machine learning model implemented by the processing system to obtain a risk score associated with the telephone number for a subscriber identity module swap of a subscriber identity module, where the machine learning model is trained to generate the risk score associated with the telephone number in accordance with at least the first input data set. The processing system may then perform at least one remedial action associated with the telephone number and the subscriber identity module, in response to the risk score.

Abstract: Aspects of the subject disclosure may include, for example, a device having a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of: receiving a request from a first user of an electronic event to invoke a surrogate to control an avatar of the first user; retrieving data describing characteristics of the surrogate; and altering a presentation of the avatar for the first user made to a second user, wherein the data describing characteristics of the surrogate is used to alter the presentation of the avatar. Other embodiments are disclosed.

Abstract: The technologies described herein are generally directed to providing radio resources to facilitate a predicted transition to active mode by idle user equipment in a fifth generation (5G) network or other next generation networks. An example method can include predicting that a user equipment of a group of user equipment in an idle mode will transition to an active mode after passage of a time duration, starting from the predicting, that is lower than a time threshold. The method can further include identifying base station equipment that is able to provide coverage to the user equipment during the passage of the time duration before the user equipment transitions to the active mode. Further, the method can include prioritizing allocation of, within the group of user equipment, an antenna resource of the base station equipment to provide the coverage to facilitate an active mode connection by the user equipment to the base station equipment.

Abstract: Aspects of the subject disclosure may include, for example, executing an OTT application; and providing an API that enables the OTT application to connect with a native SIP stack of the device, where the OTT application negotiates with a network server for one or more QoS parameters for a communication service provided via the OTT application. Other embodiments are disclosed.

Abstract: The disclosed technology is directed towards generating an annotated visual playback of an incident. Upon obtaining notification of an incident, event data occurring in the incident zone and timeframe are obtained (e.g., collected) from sensors proximate the zone. The event data is used to annotate a visual playback captured by one or more cameras, e.g., within a timeframe ranging from some time before the incident occurred to the end of the incident. For example, a video can be presented with overlaid annotation data, each annotation describing an event as it occurred in time, in conjunction with an advancing timestamp overlay showing the time of the video frames. A simulated video, e.g., extended reality video, can also be generated, along with annotations and timeframe data, such as if captured from camera(s) from one or more various different perspectives.

Abstract: A flow logging utility tracer (“FLUTE”) system can present a FLUTE user interface through which the FLUTE system can receive a trace request. The FLUTE system can interface, via a FLUTE controller, with a FLUTE adapter corresponding to a cloud environment associated with the trace request. The FLUTE adaptor can extract event log data from a log repository corresponding to the cloud environment. The FLUTE adapter can filter the event log data according to a logging specification. The FLUTE adapter can transform the filtered event log data for compatibility with a FLUTE stitcher. The FLUTE stitcher can generate tracing data based upon the event log data. The FLUTE stitcher can correlate the tracing data based upon a common identifier enforced by the logging specification, prepare the tracing data for publication to a distributed tracing system, and publish the tracing data to the distributed tracing system for storage.

Abstract: An evolved multimedia broadcast multicast services (eMBMS) core may map sensor data or telemetry data from a central repository server (e.g., tag it with an area code from where the data is being generated) to a service area. The eMBMS core may inform the radio access network to create a service area for the specific area code, which may be part of or an entire city, county, or the like. Then the radio access network may broadcast the data to the vehicles or devices in the specific area code.

Abstract: Aspects of the subject disclosure may include, for example, accessing registration information that includes a criterion for allowing receiving notifications based on location information of a communication device, accessing a location request of equipment of a location requestor that includes a notification location, accessing encrypted information representative of identification information, the location information, and time information of the communication device that has been stored in a database where the time information corresponds to the location information, identifying a positive result for the location request, and causing a notification to be provided to the communication device responsive to the positive result, where the notification is associated with the location requestor, and wherein the notification is provided to the communication device without providing the identification information of the communication device to the equipment of the location requestor.

Abstract: The described technology is generally directed towards a short message service (SMS) congestion manager that can evaluate, predict, and mitigate SMS congestion. The SMS congestion manager can be implemented within a short message services function (SMSF) of a fifth generation (5G) or subsequent generation cellular network. The SMS congestion manager can monitor a volume of non-access stratum (NAS) SMS messages in order to detect potential overload conditions wherein the volume of messages exceeds a capability of a network function. In response to detecting potential overload conditions, the SMS congestion manager can inhibit messages directed to the network function in order to prevent overloads from developing. The SMS congestion manager can use machine learning to learn to detect the potential overload conditions as well as to learn actions to take to address the potential overload conditions.

Abstract: Creating and using device orientation fingerprints can include detecting a request to create an orientation fingerprint for a user device, where the orientation fingerprint defines an orientation of the user device and includes a machine learning model that models, for the user device and a known user of the user device, multiple orientations of the device for multiple activities. Operational data that includes orientation data, identity data, and activity data can be obtained. The operational data can be provided to machine learning to output the orientation fingerprint and the orientation fingerprint can be stored with data that associates the orientation fingerprint with the known user.