Abstract: Novel tools and techniques are provided for implementing automated diagnostic and predictive troubleshooting. In examples, a framework engine identifies an issue(s) associated with CPE, network services, and/or network equipment, based on analysis of network data collected from a plurality of data sources that monitor a plurality of CPE, a plurality of network services, and a plurality of network equipment within a network(s). An actions engine determines next best actions (“NBAs”) to resolve the issue(s). In some examples, the framework engine causes an automation workflow engine to perform at least one automation workflow. If the issue(s) has not been resolved, the framework engine generates and sends a message to a user device indicating an unresolved issue(s) including relevant information and the NBAs. If the current and/or predicted issue(s) has been resolved, the framework engine generates and sends another message to the user device indicating that the issue(s) has been resolved.

Abstract: Novel tools and techniques are provided for implementing provisioning of network services via passive optical network (“PON”) ports that have been incorrectly assigned or connected. In response to receiving an indication that a first port, of a PON terminal, to which a first customer premises equipment (“CPE”) at a first customer premises has been assigned to be connected is already being used to connect a second CPE at a second customer premises, a computing system may identify a second port that is available to provide network services, may autonomously cause re-assignment of the first CPE from the first port to the second port, within a service provider database, may autonomously cause updating of network configurations of the first CPE to enable provisioning of network services over the second port, and may autonomously cause provisioning of network services to the first CPE via the second port, based on the re-assignment.

Abstract: The techniques described herein relate to methods and apparatus for a power over Ethernet (POE) light for media applications. The PoE light includes a light, wherein the light requires a wattage of at least 30 watts for proper operation. The PoE light includes a processor configured to control the light. The PoE light includes a port in electrical communication with the processor, wherein the port is configured to receive an Ethernet cable that provides communication with a router, wherein the router provides over the Ethernet cable both: power for the PoE light to operate at the wattage, and data communications for the PoE light so that the processor can transmit and receive data communications according to DMX (Digital Multiplex) protocol so the light can be remotely controlled by a user.

Abstract: The techniques described herein relate to methods and apparatus for a power over Ethernet (PoE) light for media applications. The PoE light includes a light, wherein the light requires a wattage of at least 30 watts for proper operation. The PoE light includes a processor configured to control the light. The PoE light includes a port in electrical communication with the processor, wherein the port is configured to receive an Ethernet cable that provides communication with a router, wherein the router provides over the Ethernet cable both: power for the PoE light to operate at the wattage, and data communications for the PoE light so that the processor can transmit and receive data communications according to DMX (Digital Multiplex) protocol so the light can be remotely controlled by a user.

Abstract: Implementations relate to methods, systems, and computer-readable media to automatically generate an avatar body model based on a three-dimensional (3D) mesh. In some implementations, the method may include obtaining a 3D mesh of a virtual character, generating a skeleton for the virtual character based on the 3D mesh, wherein individual joints of a plurality of joints are pre-defined joints based on a body type of the virtual character; associating each of the plurality of joints of the skeleton to at least one respective vertex of the plurality of vertices of the 3D mesh to obtain a skinned 3D mesh, segmenting the skinned 3D mesh, based on skinning weights associated with the plurality of vertices into a plurality of body part meshes that correspond to respective body parts of the virtual character, and determining a cage mesh for each body part mesh.

Abstract: The techniques described herein relate to methods and apparatus for a power over Ethernet (PoE) light for media applications. The PoE light includes a light, wherein the light requires a wattage of at least 30 watts for proper operation. The PoE light includes a processor configured to control the light. The PoE light includes a port in electrical communication with the processor, wherein the port is configured to receive an Ethernet cable that provides communication with a router, wherein the router provides over the Ethernet cable both: power for the PoE light to operate at the wattage, and data communications for the PoE light so that the processor can transmit and receive data communications according to DMX (Digital Multiplex) protocol so the light can be remotely controlled by a user.

Abstract: A system and method for mitigating anomalies in a network device. One or a combination of mitigation actions may be pre-programmed into a plurality of customer premises equipment (CPE) devices. The mitigation actions may be available as temporary or permanent work arounds as problems are detected that match known or discovered patterns of log events. Unsupervised machine learning techniques may be used to identify and correlate new patterns of log events with device anomalies or malfunctions. When a new pattern of log events is discovered and correlated to an anomaly or malfunction in a group of CPE devices, the discovered pattern may be written to the group of CPE devices with instructions to use particular ones of the mitigation actions. The CPE devices can then, in examples, monitor their own logs to detect the patterns and implement one or more of the mitigation actions.

Abstract: A light fixture is provided that includes a housing and a light assembly having a plurality of light emitting diodes (LEDs) supported on an LED board that is supported in the housing. The light fixture also includes a plurality of optics, wherein each optic is positioned adjacent an associated LED, and a holder body supported within the housing. The holder body includes a plurality of recesses that support each optic. In some embodiments, the housing of the light fixture may include a main portion and a support portion, and may further include a support arm operably connected to the support portion and configured for supporting the light fixture on a surface.

Abstract: A system and method for mitigating anomalies in a network device. One or a combination of mitigation actions may be pre-programmed into a plurality of customer premises equipment (CPE) devices. The mitigation actions may be available as temporary or permanent work arounds as problems are detected that match known or discovered patterns of log events. Unsupervised machine learning techniques may be used to identify and correlate new patterns of log events with device anomalies or malfunctions. When a new pattern of log events is discovered and correlated to an anomaly or malfunction in a group of CPE devices, the discovered pattern may be written to the group of CPE devices with instructions to use particular ones of the mitigation actions. The CPE devices can then, in examples, monitor their own logs to detect the patterns and implement one or more of the mitigation actions.

Abstract: A connection assembly includes an electrical cord providing electrical communication between a first light fixture and a second light fixture, and a cover removably coupled to the first light fixture and the second light fixture. The electrical cord includes a first electrical connector coupled to the first light fixture, and a second electrical connector coupled to the second light fixture. The cover extends over the electrical cord, and includes a first end adjacent the first light fixture, a second end adjacent the second light fixture, and a surface extending between the first end and the second end. The cover provides a continuous surface between the first light fixture and the second light fixture.

Abstract: A system and method for mitigating anomalies in a network device. One or a combination of mitigation actions may be pre-programmed into a plurality of customer premises equipment (CPE) devices. The mitigation actions may be available as temporary or permanent work arounds as problems are detected that match known or discovered patterns of log events. Unsupervised machine learning techniques may be used to identify and correlate new patterns of log events with device anomalies or malfunctions. When a new pattern of log events is discovered and correlated to an anomaly or malfunction in a group of CPE devices, the discovered pattern may be written to the group of CPE devices with instructions to use particular ones of the mitigation actions. The CPE devices can then, in examples, monitor their own logs to detect the patterns and implement one or more of the mitigation actions.

Abstract: Embodiments include systems and methods for completing a fit test on a respiratory mask A method may comprise installing a speaker within an interior cavity of the face mask, wherein the speaker communicates with an electronics unit; installing a microphone within the interior cavity of the face mask, wherein the microphone communicates with the electronics unit; generating, by the speaker, a sound during the fit test; detecting, by the microphone, sound generated by the speaker during the fit test; comparing, by the electronics unit, a detected signal from the microphone to a baseline expected sound; when the detected signal is within a certain range of the baseline expected sound, indicating to the user that the fit test is completed and passed; and when the detected signal is not within a certain range of the baseline expected sound, indicating to the user that the fit test is completed and failed.

Abstract: A method for profiling the performance of a wireless local area network may include receiving, from a wireless access point (WAP), measurements associated with client devices in a wireless local area network (WLAN), and identifying a dominance of the client devices in the WLAN. The method may further include classifying the received measurements into categories representing channel qualities with the client devices in the WLAN, and transforming the categories of the client devices into values. The method may further include determining a profile of the WLAN based on the values and the dominance of the client devices.

Abstract: The present disclosure describes providing a system and method for providing remote servicing of a customer device over a secure short-range wireless communication network connection. The customer device may be configured to securely establish a secure short-range wireless network communication connection between the customer device and a mobile device associated with an authorized user. When the mobile device is communicatively coupled with a customer device, the user may be enabled to access various installation, configuration, troubleshooting, and/or settings changing services on the customer device via the secure short-range wireless communication channel.