Abstract: Aspects of the present application correspond to utilization of a set of inputs from vision systems to generate simulations or predicted paths of travel for dynamic objects detected from the vision systems. Illustratively, a service can process the set of inputs (e.g., the associated ground truth label data) collected from one or more vision systems (or additional services) to identify predicted paths of travel for any dynamic objects detected from the captured vision system information. Typically, a plurality of predicted paths of travels can be generated such that more than one path of travel may be considered to meet or exceed a minimal threshold. The resulting predicted paths of travel can be further associated with confidence values that characterize the likelihood that any one predicted path of travel for a detected dynamic object will occur.

Abstract: A computer server receives, from a remote user device, information about a new potential risk relationship customer (including at least one new user parameter). Based on the new user parameter, the computer server accesses third-party data and utilizes a stored procedure to read data about the new potential risk relationship customer from an internal table of cloud data. The data read from the internal table is processed to dynamically evolve a schema and create an incremental view of cloud data. The computer server uses the incremental view to read and output a current batch of cloud data. A user interface workflow is then customized via a machine learning algorithm that processes the information about the new potential risk relationship customer, the third-party data, and the current batch of cloud data. A user information data store can then be updated based on information collected via user interface displays.

Abstract: Tubulars are used to seal a leak in completion equipment, such as parted connection (or parted casing) or damaged casing, isolate a casing perforation or an open hole zone, by expanding the tubulars over the leak, perforation, or zone, where the inner diameters of sections of the completion equipment above and below the leak, perforation, or zone are different. Alternatively, the tubulars are used to apply a liner over an open hole section and anchor the liner onto a base casing. The tubulars preferably function as cladding. An apparatus for expanding the tubulars includes a lower fixed-diameter cone, an upper fixed-diameter cone, and a drill pipe passing through the upper fixed-diameter cone and attached to the lower fixed-diameter cone. The drill pipe can slide through the upper fixed-diameter cone or be attached to the upper fixed-diameter cone.

Abstract: A computer server receives, from a remote user device, information about a new potential risk relationship customer (including at least one new user parameter). Based on the new user parameter, the computer server accesses third-party data and utilizes a stored procedure to read data about the new potential risk relationship customer from an internal table of cloud data. The data read from the internal table is processed to dynamically evolve a schema and create an incremental view of cloud data. The computer server uses the incremental view to read and output a current batch of cloud data. A user interface workflow is then customized via a machine learning algorithm that processes the information about the new potential risk relationship customer, the third-party data, and the current batch of cloud data. A user information data store can then be updated based on information collected via user interface displays.

Abstract: State-of-the-art object detection algorithms (e.g., EfficientDet, Faster-RCNN, and YOLO) and their variants are integrated into an end-to-end IoT cloud-based system deployment. The system can (1) receive real-time video streaming (RTSP/RTMP/SDP) from most CCTV systems and devices with cameras, (2) extract frames from the video streams, (3) feed the frames to multiple AI models simultaneously, and (4) compute a probability for the presence of fire and/or smoke. Based on custom risk thresholds, the outputs can be compiled programmatically into a video clip that is sent to a user automatically for real-time alerts.

Abstract: An example method of configuring a cluster network for an application management system having virtual machines (VMs) executing on a virtualization layer in a cluster of hosts connected to a physical network, wherein the application management system is integrated with the virtualization layer, the method including: deploying, by a virtualization management server, a master server of the application management system prior to configuration of a cluster network that connects the VMs, the master server connected to the virtualization management server by a management network isolated from the cluster network; configuring, by the master server in cooperation with a network manager, the cluster network to connect the VMs; and connecting, by the master server in cooperation with the network manager, the cluster network to an edge node configured to support external ingress/egress for the cluster network.

Abstract: The present disclosure generally relates to systems, methods, and computer-readable media for developing and implementing workflows for a variety of data types. For example, systems disclosed herein may receive or otherwise generate a schema object on a schema system including a plurality of schema objects associated with different workflows. The schema object may include user interface behavior data indicating a content type and associated control type. The schema object may further include application programming interface (API) behavior data indicating a binding between a user interface engine and an API engine. The schema object may also include workflow behavior data indicating one or more services for processing the schema object. Moreover, systems described herein may deploy a plurality of parsers on a plurality of processing engines to enable flexibility and dynamic updates to content ingestion lifecycles.

Abstract: For a buck-boost DC-DC converter with n-type high-side field effect transistor (HSFET), a supply is derived from input and output rails, and this supply maintains a constant differential voltage independent of input supply voltage. The derived supply is used as the high supply (HS) of an HSFET Driver. As such, the HSFET resistance becomes independent of supply variation. A wide range ultra-low IQ (Quiescent current), edge triggered level-shifter provides support to a bootstrapped power stage of the inverting buck-boost DC-DC converter. When p-type HSFET is used, a supply is derived from the input and output supply rails, and this derived supply maintains a constant differential voltage independent to the input supply voltage. The derived supply is used as the low supply (LS) or ‘ground’ of the HSFET Driver. As such, the p-type HSFET resistance becomes independent of supply variation.

Abstract: This disclosure relates to methods of promoting immune responses against coronavirus, such as SARS-CoV-2, and compositions related thereto. In certain embodiments, this disclosure relates to methods of vaccinating for coronavirus comprising administering to the subject a composition disclosed herein. In certain embodiments, the composition comprises a recombinant virus such as recombinant MVA that encodes a coronavirus spike protein. In certain embodiments, the coronavirus spike protein comprises a proline mutation at position 986. In certain embodiments, the coronavirus spike protein comprises a proline mutation at position 987.

Abstract: A computer server receives, from a remote user device, information about a new potential risk relationship customer (including at least one new user parameter). Based on the new user parameter, the computer server accesses third-party data and utilizes a stored procedure to read data about the new potential risk relationship customer from an internal table of cloud data. The data read from the internal table is processed to dynamically evolve a schema and create an incremental view of cloud data. The computer server uses the incremental view to read and output a current batch of cloud data. A user interface workflow is then customized via a machine learning algorithm that processes the information about the new potential risk relationship customer, the third-party data, and the current batch of cloud data. A user information data store can then be updated based on information collected via user interface displays.

Abstract: There are provided systems and methods for an inline editing field for nested website settings. A computing device may be used to process a search query with a search engine and receive results. The search query may include a search for a particular website setting, such as a user profile, account, security, or preference setting that may allow a user to provide input and affect particular user or website data with the website. Determination of the requested website may be performed through a machine learning engine. The machine learning engine may identify the security setting nested in the website through multiple navigations, website flows, and navigations, and may extract processes and flows for use of the setting. An inline editing field may then allow for user input in a search interface that allows for editing the setting without navigation to the website and nested setting.

Abstract: The pulse firing pattern for a transformer of an electrostatic precipitator comprises first elements indicative of a pulse to be fired and second elements indicative of a pulse to not be fired. The pulse firing pattern further comprises couples of adjacent second elements and at least two first elements.

Abstract: An example method of testing a cluster network for an application management system having a cluster of virtual machines (VMs) is described. The VMs execute on a virtualization layer in a cluster of hosts connected to a physical network, and the application management system integrated with the virtualization layer. The method includes: receiving, at an edge node from an external network, a plurality of test applications; executing, at the edge node, the plurality of test applications, the edge node connected to the cluster network, the plurality of test applications communicating, through the cluster network, with a master server of the application management system, and with applications executing in the VMs managed by the master server; and returning, from the edge node, responses generated by the plurality of test applications to the external network.

Abstract: The present disclosure generally relates to systems, methods, and computer-readable media for developing and implementing workflows for a variety of data types. For example, systems disclosed herein may receive or otherwise generate a schema object on a schema system including a plurality of schema objects associated with different workflows. The schema object may include user interface behavior data indicating a content type and associated control type. The schema object may further include application programming interface (API) behavior data indicating a binding between a user interface engine and an API engine. The schema object may also include workflow behavior data indicating one or more services for processing the schema object. Moreover, systems described herein may deploy a plurality of parsers on a plurality of processing engines to enable flexibility and dynamic updates to content ingestion lifecycles.

Abstract: A system for controlling an electrostatic precipitator includes a computer control system with a computer and a controller in operative communication with an electrostatic precipitator. The computer control system is operative to control performance of the electrostatic precipitator by controlling one or more of: a) a power supply that controls voltage between an electrically grounded vertical plate and a metallic wire electrode in the electrostatic precipitator; b) a first feeder valve and a second feeder valve in a hopper; and c) a power supply to an electrical coil in operative communication with a rapper.

Abstract: An example method of testing a cluster network for an application management system having a cluster of virtual machines (VMs) is described. The VMs execute on a virtualization layer in a cluster of hosts connected to a physical network, and the application management system integrated with the virtualization layer. The method includes: receiving, at an edge node from an external network, a plurality of test applications; executing, at the edge node, the plurality of test applications, the edge node connected to the cluster network, the plurality of test applications communicating, through the cluster network, with a master server of the application management system, and with applications executing in the VMs managed by the master server; and returning, from the edge node, responses generated by the plurality of test applications to the external network.

Abstract: The present disclosure generally relates to systems, methods, and computer-readable media for developing and implementing workflows for a variety of data types. For example, systems disclosed herein may receive or otherwise generate a schema object on a schema system including a plurality of schema objects associated with different workflows. The schema object may include user interface behavior data indicating a content type and associated control type. The schema object may further include application programming interface (API) behavior data indicating a binding between a user interface engine and an API engine. The schema object may also include workflow behavior data indicating one or more services for processing the schema object. Moreover, systems described herein may deploy a plurality of parsers on a plurality of processing engines to enable flexibility and dynamic updates to content ingestion lifecycles.

Abstract: For a buck-boost DC-DC converter with n-type high-side field effect transistor (HSFET), a supply is derived from input and output rails, and this supply maintains a constant differential voltage independent of input supply voltage. The derived supply is used as the high supply (HS) of an HSFET Driver. As such, the HSFET resistance becomes independent of supply variation. A wide range ultra-low IQ (Quiescent current), edge triggered level-shifter provides support to a bootstrapped power stage of the inverting buck-boost DC-DC converter. When p-type HSFET is used, a supply is derived from the input and output supply rails, and this derived supply maintains a constant differential voltage independent to the input supply voltage. The derived supply is used as the low supply (LS) or ‘ground’ of the HSFET Driver. As such, the p-type HSFET resistance becomes independent of supply variation.

Abstract: An example method of configuring a cluster network for an application management system having virtual machines (VMs) executing on a virtualization layer in a cluster of hosts connected to a physical network, wherein the application management system is integrated with the virtualization layer, the method including: deploying, by a virtualization management server, a master server of the application management system prior to configuration of a cluster network that connects the VMs, the master server connected to the virtualization management server by a management network isolated from the cluster network; configuring, by the master server in cooperation with a network manager, the cluster network to connect the VMs; and connecting, by the master server in cooperation with the network manager, the cluster network to an edge node configured to support external ingress/egress for the cluster network.

Abstract: There are provided systems and methods for an inline editing field for nested website settings. A computing device may be used to process a search query with a search engine and receive results. The search query may include a search for a particular website setting, such as a user profile, account, security, or preference setting that may allow a user to provide input and affect particular user or website data with the website. Determination of the requested website may be performed through a machine learning engine. The machine learning engine may identify the security setting nested in the website through multiple navigations, website flows, and navigations, and may extract processes and flows for use of the setting. An inline editing field may then allow for user input in a search interface that allows for editing the setting without navigation to the website and nested setting.