Abstract: A load lock system including an imaging subsystem and an image processing subsystem to capture comprehensive data of a substrate within a load lock chamber. The imaging subsystem can include multiple imaging elements (e.g. cameras or image sensors), to capture image data of a substrate. The image processing subsystem can process the image data with a number of computer vision, or feature extraction techniques to identify nonconformities associated with the substrate. These nonconformities can include chips, breaks, scratch, placement errors, orientation errors, or a number of other errors associated with the substrate and substrate components. The image processing subsystem can further output a message indicating any one of these errors have occurred.

Abstract: Techniques described herein relate to methods and systems for thermal management of a thermal environment. The method may include using thermal data items from computing devices and time series analysis to predict future thermal values for the thermal data items; performing a clustering analysis using the predicted future thermal values to assign cluster labels to the computing devices; using the cluster labels and the predicted future thermal values to assign predicted thermal status labels to the computing devices; assigning a confidence value to the predicted thermal status labels and ranking the computing devices based on the confidence values; performing an analysis to determine a thermal data item contributing to the assigned thermal status; and sending the results to a thermal environment administrator.

Abstract: A method of providing recommendations for matching leads to financial advisors using a machine learning model comprises training the model using attributes of the leads and advisors to determine lead/advisor matches and to output a recommendation list of lead/advisor matched pairs, serializing the model, providing access to the serialized model to a user device via an API, deserializing the model, receiving advisor preferences from the user in natural text form, converting the natural text received from the user into a form adapted to be used as input to the model, executing the deserialized model using the received preferences to determine advisor recommendations for the user, filtering the advisor recommendations using rules which disallow certain lead/advisor pairings, outputting filtered recommendations at the end user device, and transmitting a selection from the filtered recommendations from the user for further training of the model with respect to the particular end user.

Abstract: A method of providing recommendations for matching leads to financial advisors using a machine learning model comprises training the model using attributes of the leads and advisors to determine lead/advisor matches and to output a recommendation list of lead/advisor matched pairs, serializing the model, providing access to the serialized model to a user device via an API, deserializing the model, receiving advisor preferences from the user in natural text form, converting the natural text received from the user into a form adapted to be used as input to the model, executing the deserialized model using the received preferences to determine advisor recommendations for the user, filtering the advisor recommendations using rules which disallow certain lead/advisor pairings, outputting filtered recommendations at the end user device, and transmitting a selection from the filtered recommendations from the user for further training of the model with respect to the particular end user.

Abstract: An apparatus and method for pressurizing and supplying a gaseous fuel to an engine includes a first supply and a second supply of the gaseous fuel stored as a compressed gas. A pressure regulator regulates a pressure of the gaseous fuel fluidly received from the first supply or the second supply, a compressor pressurizes the gaseous fuel fluidly received from the first supply or the second supply, and an accumulator fluidly receives gaseous fuel from the compressor and the pressure regulator. A supply-select valve apparatus is in fluid communication with the first supply and the second supply and is actuatable to fluidly connect the first supply with the compressor or the pressure regulator, and to fluidly connect the second supply with the compressor or the pressure regulator.

Abstract: A device, system and method for facilitating multi-level stream-based edge analytics in multi-modal communication. The device generates at least one primary data stream and secondary data stream by processing a plurality of data streams received from one or more data sources based on type of a multimodal application. Further, the device determines bandwidth requirements for transmission of the primary data stream and secondary data stream. The device then selects one or more network interfaces from a plurality of network interfaces to transmit at least one primary data stream based on traffic characteristics of the plurality of network interfaces and the bandwidth requirements. The device then transmits the primary data stream to an edge analytic server for edge analytics via the selected one or more network interfaces.

Abstract: A circuit arrangement includes a preprocessing circuit configured to obtain context information related to a user location, a learning circuit configured to determine a predicted user movement based on context information related to a user location to obtain a predicted route and to determine predicted radio conditions along the predicted route, and a decision circuit configured to, based on the predicted radio conditions, identify one or more first areas expected to have a first type of radio conditions and one or more second areas expected to have a second type of radio conditions different from the first type of radio conditions and to control radio activity while traveling on the predicted route according to the one or more first areas and the one or more second areas.

Abstract: An apparatus and method for injection of a pilot fuel into an internal combustion engine includes a variety of steady state, transient and other techniques to reduce an injection quantity of the pilot fuel and/or a carbon content of the pilot fuel.

Abstract: The present invention relates to a system and method for enabling a multi-operator edge environment. The present invention provides an architecture that caters to broad application support (software and hardware support) from multiple EDNs supported by other Edge Service Providers. Further, the architecture of the present invention is based on the 3GPP app enablement architecture that is flexible to incorporate, manage, and cooperate with multiple ESP(s). The developed architecture has several new entities and interfaces to support the multiple ESP. The architecture further includes Federated Edge Configuration Server (F-ECS).

Abstract: A dispenser pump has a plunger operable in a body including an outer cylinder body having a vent opening in its sidewall and a body insert fitting into the top of the outer body and providing an external collar through which the plunger stem operates. The body insert has lock-down threads to lock down the plunger for shipping. The insert also has formations for blocking or unblocking the vent opening by rotation between the outer body and body insert, driven by rotation of the plunger head which makes a catch engagement with the top of the body insert. This plunger head rotation is the locking or unlocking action for the plunger lock-down. Blocking the vent during shipping reduces leakage.

Abstract: A computer-implemented method for providing recommendations for matching leads to advisors using a machine learning model.

Abstract: Embodiments of the present disclosure disclose a method and a system for video anomaly detection. The system is configured to collect a sequence of input video frames of an input video of a scene. In addition, the system is configured to partition each input video frame of the sequence of input video frames into a plurality of input video patches. Further, the system is configured to process each of the plurality of input video patches with one or more classifiers. Each of the one or more classifiers corresponds to a deep neural network trained to estimate one or more attributes of the plurality of input video patches from an output of a penultimate layer of the deep neural network. Furthermore, the system is configured to compare the output of the penultimate layer. The system is further configured to detect an anomaly based on the output of the penultimate layer.

Abstract: This disclosure relates to controlling temperature inside a receptacle 102 in a vehicle. In an embodiment, a temperature-controlled system for a vehicle is disclosed. The temperature-controlled system may include a receptacle 102 having at least one inlet 104, and a housing 106 fitted to the receptacle 102. The housing 106 may include an opening 108. The opening 108 may be configured to be fluidically coupled to a heating, ventilation, and air conditioning (HVAC) vent of the vehicle. The housing 106 may further include an open front face 110 fluidically coupled to the at least one inlet 104 of the receptacle 102, and a gate assembly mounted on the housing 106. The gate assembly 106 may include a gate configured to engage or disengage with the opening 108 to fluidically couple or fluidically decouple, respectively, the opening 108 to the vent.

Abstract: There is a solenoid including a stator having a first stator tooth and a second stator tooth, and an armature having a first armature tooth and a second armature tooth. The armature is moveable with respect to the stator over a predetermined stroke. A coil is associated with one of the stator and the armature for conducting an electric current and generating magnetic flux that is guided by the stator and the armature. The stator or the armature acts as a ferromagnetic core for the coil. There is a first air-gap between the first stator tooth and the first armature tooth that has a first length, and a second air-gap between the second stator tooth and the second armature tooth that has a second length. The first and second lengths are constant to within a predetermined margin over the predetermined stroke when the first and second armature teeth overlap the first and second stator teeth respectively.

Abstract: A circuit arrangement includes a preprocessing circuit configured to obtain context information related to a user location, a learning circuit configured to determine a predicted user movement based on context information related to a user location to obtain a predicted route and to determine predicted radio conditions along the predicted route, and a decision circuit configured to, based on the predicted radio conditions, identify one or more first areas expected to have a first type of radio conditions and one or more second areas expected to have a second type of radio conditions different from the first type of radio conditions and to control radio activity while traveling on the predicted route according to the one or more first areas and the one or more second areas.

Abstract: Systems and methods to implement customer contact service with real-time supervisor assistance. A supervisor may oversee multiple agents in a customer contact service. A service of a computing resource service provider may monitor a plurality of audio connections at a service of a computing resource service provider, generate transcripts for the plurality of audio data, analyze the transcripts using a set of natural language processing (NLP) techniques to generate metadata, tag the transcripts with categories based at least in prat on the metadata, generate information for at least a portion of the plurality of connections based on the transcripts, metadata, and categories, and provide the information to a supervisor of the agents.

Abstract: Systems and methods to analyze contacts data. Contacts data may be encoded as text (e.g., chat logs), audio (e.g., audio recordings), and various other modalities. A computing resource service provider may implement a service to obtain audio data from a client, transcribe the audio data, thereby generating text, execute one or more natural language processing techniques to generate metadata associated with the text, processing at least the metadata to generate an output, determine whether the output matches one or more categories, and provide the output to the client. Techniques described herein may be performed as an asynchronous workflow.

Abstract: A wireless communication device includes a processor configured to select an offload processing task for performance by an edge computing device; cause a baseband modem to establish a direct wireless connection between the wireless communication device and the edge computing device; cause the baseband modem to send first data to the edge computing device via the direct wireless connection; and receive second data from the edge computing device, wherein the second data comprise a result of the offload processing task performed on the first data. The edge computing device includes a processor configured to receive, from a user device, offloaded data to be processed according to an offload processing task; execute the offload processing task on the offloaded data; and cause the radio via the interface to wirelessly send a result of the executed offload processing task via a direct wireless connection with the user device.

Abstract: An apparatus of a user equipment (UE) comprises one or more baseband processors to encode a unique UE identifier to be transmitted to an Access and Mobility Function (AMF) of a Fifth Generation (5G) network, wherein the unique identifier identifies UE capabilities to be stored in a UE capabilities database. An apparatus of Access and Mobility Function (AMF) of a Fifth Generation (5G) network comprises one or more processors to receive a user equipment (UE) Capabilities update from a remote server to update a UE capability database that stores UE capability information corresponding to one or more UEs identified with a unique identifier, and to process the UE Capabilities update via one or more Application Programming Interfaces (APIs).

Abstract: A circuit arrangement includes a preprocessing circuit configured to obtain context information related to a user location, a learning circuit configured to determine a predicted user movement based on context information related to a user location to obtain a predicted route and to determine predicted radio conditions along the predicted route, and a decision circuit configured to, based on the predicted radio conditions, identify one or more first areas expected to have a first type of radio conditions and one or more second areas expected to have a second type of radio conditions different from the first type of radio conditions and to control radio activity while traveling on the predicted route according to the one or more first areas and the one or more second areas.