Abstract: The present invention relates to a system for ammonia combustion and exhaust gas treatment, the system comprising: an internal combustion engine for combusting ammonia; and an exhaust system comprising an intake for receiving an exhaust gas from the combustion engine, an upstream injector for adding hydrogen gas to the exhaust gas and a downstream catalyst article, wherein the downstream catalyst article comprises a three-way catalyst (TWC) composition. The invention further relates to a method for the treatment of an exhaust gas from an ammonia internal combustion engine.

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: The disclosed technology provides solutions for improving autonomous vehicle dispatch and in particular, provides solutions for matching autonomous vehicles (AVs) with tasks based on service priorities. Processes of the disclosed technology can include steps for receiving a first task, wherein the first task is associated with a first service type, receiving a second task, wherein the second task is associated with a second service type, dispatching a first autonomous vehicle (AV) to service the first task, and dispatching the second AV to service the second task. The process can further include updating the dispatch of the first AV to service the second task, and updating the dispatch of the second AV to service the first task. Systems and machine-readable media are also provided.

Abstract: Systems and methods seamlessly blend edited and unedited regions of an image. A computing system crops an input image around a region to be edited. The system applies an affine transformation to rotate the cropped input image. The system provides the rotated cropped input image as input to a machine learning model to generate a latent space representation of the rotated cropped input image. The system edits the latent space representation and provides the edited latent space representation to a generator neural network to generate a generated edited image. The system applies an inverse affine transformation to rotate the generated edited image and aligns an identified segment of the rotated generated edited image with an identified corresponding segment of the input image to produce an aligned rotated generated edited image. The system blends the aligned rotated generated edited image with the input image to generate an edited output image.

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.

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: Embodiments relate generally to systems and methods for absorbing moisture within a face mask worn by a user. A face mask may comprise at least one layer of filtration material. configured to filter one or more harmful substances from the air breathed by a user; at least one layer of absorbent material configured to absorb moisture exhaled by the user, wherein the at least one layer of absorbent material spans the entire inner surface area of the mask; at least one layer of waterproof material located between the at least one layer of filtration material and the at least one layer of absorbent material configured to prevent moisture from the absorbent material from contacting the filtration material; and at least one layer of anti-bacterial material located adjacent to the at least one layer of absorbent material and forming the inner surface of the mask.

Abstract: A luminaire includes a housing with a cavity, a non-planar lens, and a light emitter. The non-planar lens is coupled to the housing. The lens defines a generally circular footprint and a concavo-convex shape. The light emitter is positioned proximate an edge of the cavity and is configured to emit light into an edge of the lens and toward a center of the cavity.

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 face mask (100) may comprise at least one layer of filtration material (218) configured to filter one or more harmful substances from the air breathed by a user; at least one layer of absorbent material (214) configured to absorb moisture exhaled by the user, wherein the at least one layer of absorbent material (214) spans the entire inner surface area of the mask (100); at least one layer of waterproof material (216) located between the at least one layer of filtration material (218) and the at least one layer of absorbent material (214) configured to prevent moisture from the absorbent material from contacting the filtration material; and at least one layer of anti-bacterial material (212) located adjacent to the at least one layer of absorbent material (214) and forming the inner surface of the mask (100). The face mask (100) can absorb moisture exhaled 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: Apparatuses, systems, and techniques are presented to detect one or more objects in one or more images. In at least one embodiment, one or more neural networks can be used to detect one or more objects in one or more images based, at least in part, on textual descriptions of the one or more objects.