Abstract: Techniques are disclosed for parsing a source image, to identify segments of one or more objects within the source image. The parsing is carried out by an image parsing pipeline that includes three distinct stages comprising three respectively neural network models. The source image can include one or more objects. A first neural network model of the pipeline identifies a section of the source image that includes the object comprising a plurality of segments. A second neural network model of the pipeline generates, from the section of the source image, a mask image, where the mask image identifys one or more segments of the object. A third neural network model of the pipeline further refines the identification of the segments in the mask image, to generate a parsed image. The parsed image identifies the segments of the object, by assigning corresponding unique labels to pixels of different segments of the object.

Abstract: Systems and methods, in a Label Edge Router (LER) which includes one or more ports and a switching fabric therebetween, include, responsive to a request for a Label Switched Path (LSP) tunnel with a specified DiffServ Traffic Engineering (DSTE) Class Type, signaling a PATH message via a port for the LSP tunnel in a Multiprotocol Label Switching (MPLS) network; incorporating a FAST_REROUTE object in the PATH message which indicates Facility Bypass is desired; and incorporating the DSTE Class Type in the FAST_REROUTE object of the PATH message for a Point of Local Repair (PLR) node in the MPLS network to ensure a Facility Bypass tunnel used for the LSP tunnel supports the specified DSTE Class Type.

Abstract: Systems and methods for controlling cache usage are described and include associating, by a server computing system, a tenant in a multi-tenant environment with a cache cluster formed by a group of cache instances; associating, by the server computing system, a memory threshold and a burst memory threshold with the tenant; enabling, by the server computing system, each of the cache instances to collect metrics information based on the tenant accessing the cache cluster, the metrics information used to determine memory usage information and burst memory usage information of the cache cluster by the tenant; and controlling, by the server computing system, usage of the cache cluster by the tenant based on comparing the memory usage information with the memory threshold and comparing the burst memory usage information with the burst memory threshold.

Abstract: A node includes a plurality of ports configured to provide a service over a primary Multi-Segment Pseudowire (MS-PW) and a backup MS-PW in a network; a switching fabric interconnecting the plurality of ports; and a controller communicatively coupled to the plurality of ports and the switching fabric, wherein the controller is configured to receive a pseudowire status message for each of the primary MS-PW and the backup MS-PW, determine a Signal Degrade condition on one of the primary MS-PW and the backup MS-PW based on the pseudowire status message, and cause a switch of the service to an inactive one of the primary MS-PW and the backup MS-PW based on a Signal Degrade condition on an active one of the primary MS-PW and the backup MS-PW. The controller can further provide a trap to a management system based on the determined Signal Degrade condition.

Abstract: There is described a computing device and method in a digital medium environment for custom auto tagging of multiple objects. The computing device includes an object detection network and multiple image classification networks. An image is received at the object detection network and includes multiple visual objects. First feature maps are applied to the image at the object detection network and generate object regions associated with the visual objects. The object regions are assigned to the multiple image classification networks, and each image classification network is assigned to a particular object region. The second feature maps are applied to each object region at each image classification network, and each image classification network outputs one or more classes associated with a visual object corresponding to each object region.

Abstract: Disclosed are some implementations of systems, apparatus, methods and computer program products for deploying software applications on server clusters. Characteristics of the server clusters are used to generate a deployment plan indicating an order in which the server clusters are to be updated and a timing with which the server clusters are to be updated. The characteristics of a server cluster can include a risk rating associated with the server cluster, an amount of traffic processed by the server cluster, and/or a size of the server cluster.

Abstract: A network element includes a plurality of ports interconnected by a switching fabric, wherein a port includes a plurality of connections including an infrastructure connection that operates a Bidirectional Forwarding Detection (BFD) session and a group of connections that share a similar fate for a fault as the infrastructure connection; and a controller configured to detect a fault on the infrastructure connection via the BFD session, and cause a protection switch for one or more of the group of connections based on the fault on the infrastructure connection. The infrastructure connection and the group of connections can be Pseudowires (PWE) or Label Switched Paths (LSPs) in a Multiprotocol Label Switching (MPLS) network.

Abstract: There is described a computing device and method in a digital medium environment for custom auto tagging of multiple objects. The computing device includes an object detection network and multiple image classification networks. An image is received at the object detection network and includes multiple visual objects. First feature maps are applied to the image at the object detection network and generate object regions associated with the visual objects. The object regions are assigned to the multiple image classification networks, and each image classification network is assigned to a particular object region. The second feature maps are applied to each object region at each image classification network, and each image classification network outputs one or more classes associated with a visual object corresponding to each object region.

Abstract: A node includes a plurality of ports configured to provide a service over a primary Multi-Segment Pseudowire (MS-PW) and a backup MS-PW in a network; a switching fabric interconnecting the plurality of ports; and a controller communicatively coupled to the plurality of ports and the switching fabric, wherein the controller is configured to receive a pseudowire status message for each of the primary MS-PW and the backup MS-PW, determine a Signal Degrade condition on one of the primary MS-PW and the backup MS-PW based on the pseudowire status message, and cause a switch of the service to an inactive one of the primary MS-PW and the backup MS-PW based on a Signal Degrade condition on an active one of the primary MS-PW and the backup MS-PW. The controller can further provide a trap to a management system based on the determined Signal Degrade condition.

Abstract: There is described a computing device and method in a digital medium environment for custom auto tagging of multiple objects. The computing device includes an object detection network and multiple image classification networks. An image is received at the object detection network and includes multiple visual objects. First feature maps are applied to the image at the object detection network and generate object regions associated with the visual objects. The object regions are assigned to the multiple image classification networks, and each image classification network is assigned to a particular object region. The second feature maps are applied to each object region at each image classification network, and each image classification network outputs one or more classes associated with a visual object corresponding to each object region.

Abstract: A method of forming a crosslinked polyphenol, the method comprising: reacting a bio-based phenolic compound comprising at least one phenolic hydroxyl group, with a crosslinking agent comprising at least two functional groups reactive with the phenolic hydroxyl group, wherein the at least two functional groups are each independently a halogen group, acid halide group, sulfonyl halide group, glycidyl group, anhydride group, or a combination comprising at least one of the foregoing, to provide the crosslinked polyphenol.

Abstract: Systems and methods for auto creation of bypass tunnels in Fast Reroute (FRR) downstream routers include configuring one or more Label Switched Path (LSP) tunnels between an ingress Label Edge Router (LER) and an egress LER via one or more Label Switch Routers (LSRs); signaling at least one LSP tunnel of the one or more LSP tunnels with a Resource Reservation Protocol (RSVP) PATH message containing a FAST_REROUTE object with a first flag indicating Facility Backup protection is desired and a second flag indicating auto generation of an associated FB bypass tunnel; and configuring the associated FB bypass tunnel between a Point of Local Repair (PLR) and a Merge Point (MP) based on the first flag and the second flag. The systems and methods can further include bypass tunnel reselection requests to a bypass tunnel with better protection.

Abstract: Disclosed are some implementations of systems, apparatus, methods and computer program products for deploying software applications on server clusters. Characteristics of the server clusters are used to generate a deployment plan indicating an order in which the server clusters are to be updated and a timing with which the server clusters are to be updated. The characteristics of a server cluster can include a risk rating associated with the server cluster, an amount of traffic processed by the server cluster, and/or a size of the server cluster.

Abstract: Systems and methods, in a Label Edge Router (LER) which includes one or more ports and a switching fabric therebetween, include, responsive to a request for a Label Switched Path (LSP) tunnel with a specified DiffServ Traffic Engineering (DSTE) Class Type, signaling a PATH message via a port for the LSP tunnel in a Multiprotocol Label Switching (MPLS) network; incorporating a FAST_REROUTE object in the PATH message which indicates Facility Bypass is desired; and incorporating the DSTE Class Type in the FAST_REROUTE object of the PATH message for a Point of Local Repair (PLR) node in the MPLS network to ensure a Facility Bypass tunnel used for the LSP tunnel supports the specified DSTE Class Type.

Abstract: A synergistic flame retardant composition comprising a phenolic compound comprising condensed tannin, hydrolysable tannin, lignin, cardanol, quercetin, catechin, epicatechin, anthocyanidin, catechol, dopamine, hydroxytyrosol, adrenaline, 4-hydroxyphenylacetic acid, gallic acid, digallic acid, methyl gallate, ellagic acid, phloroglucinol, hexahydroxydiphenic acid, luteic acid, casuarictin, or a combination thereof; and a phosphorus-containing compound comprising a C5-7 carbocyclic polyol substituted with at least one phosphate group.

Abstract: There is described a computing device and method in a digital medium environment for custom auto tagging of multiple objects. The computing device includes an object detection network and multiple image classification networks. An image is received at the object detection network and includes multiple visual objects. First feature maps are applied to the image at the object detection network and generate object regions associated with the visual objects. The object regions are assigned to the multiple image classification networks, and each image classification network is assigned to a particular object region. The second feature maps are applied to each object region at each image classification network, and each image classification network outputs one or more classes associated with a visual object corresponding to each object region.

Abstract: Systems and methods for auto creation of bypass tunnels in Fast Reroute (FRR) downstream routers include configuring one or more Label Switched Path (LSP) tunnels between an ingress Label Edge Router (LER) and an egress LER via one or more Label Switch Routers (LSRs); signaling at least one LSP tunnel of the one or more LSP tunnels with a Resource Reservation Protocol (RSVP) PATH message containing a FAST_REROUTE object with a first flag indicating Facility Backup protection is desired and a second flag indicating auto generation of an associated FB bypass tunnel; and configuring the associated FB bypass tunnel between a Point of Local Repair (PLR) and a Merge Point (MP) based on the first flag and the second flag. The systems and methods can further include bypass tunnel reselection requests to a bypass tunnel with better protection.

Abstract: A system for providing obstacle alerts to an in-flight aircraft has been developed. The system includes a transceiver on board the vehicle that transmits performance parameters of the vehicle and a remotely located antenna that receives the performance parameters from the transceiver. Also included is a remotely located terrain database stores obstacle characteristics of terrestrial obstacles located in proximity to the vehicle. A remotely located computer system receives the performance parameters from the antenna and the obstacle characteristics in proximity to the vehicle from the terrain database. The computer system calculates a vehicle safety envelope based on the performance parameters and an obstacle safety envelope based on the obstacle characteristics. The computer system generates an obstacle alert for the vehicle if the vehicle safety envelope conflicts with the obstacle safety envelope.

Abstract: A process for regenerating a temperature swing adsorption unit comprising: sending a heated purge gas stream through an adsorption bed to remove impurities from said adsorption bed and producing a contaminated stream; sending said contaminated stream to a separator to produce a liquid stream and a vapor stream; returning said vapor stream as at least a portion of said heated purge stream until said vapor stream comprises above a predetermined level of impurities; and purging a portion of said vapor stream until the heated purge stream has a level of impurities below a second predetermined level.

Abstract: A mobile electronic device processes a sequence of images to identify and re-identify an object of interest in the sequence. An image sensor of the device, receives a sequence of images. The device detects an object in a first image as well as positional parameters of the device that correspond to the object in the first image. The device determines a range of positional parameters within which the object may appear in a field of view of the device. When the device detects that the object of interest exited the field of view it subsequently uses motion sensor data to determine that the object of interest has likely re-entered the field of view, it will analyze the current frame to confirm that the object of interest has re-entered the field of view.