Abstract: A building product having a body including a covered region including granules, at least 18 wt % of the granules include reclaimed granules having an average residual asphalt of at least 0.1 wt % for a total weight of the reclaimed granules.

Abstract: This disclosure describes systems, methods, and devices related to automating and testing communication network topologies.

Abstract: This disclosure describes systems, methods, and devices related to automating and testing communication network topologies.

Abstract: Novel tools and techniques are provided for implementing intent-based orchestration using network parsimony trees. In various embodiments, in response to receiving a request for network services that comprises desired characteristics and performance parameters for the requested network services without information regarding specific hardware, hardware type, location, or network, a computing system might generate a request-based parsimony tree based on the desired characteristics and performance parameters. The computing system might access, from a datastore, a plurality of network-based parsimony trees that are each generated based on measured network metrics, might compare the request-based parsimony tree with each of one or more network-based parsimony trees to determine a fitness score for each network-based parsimony tree, and might identify a best-fit network-based parsimony tree based on the fitness scores.

Abstract: This disclosure describes systems, methods, and devices related to testing servers provisioned in an edge computing device. An edge computing device may detect that a server has been provisioned to access a public network cloud using backbone routers of the edge computing device; provide a neural network for evaluating a probability that a performance of the server will satisfy performance criteria, the neural network trained based on training data comprising labeled settings data and feature weights; input settings and configurations associated with the provisioning of the server as inputs to the neural network; and generate, using the neural network, based on the inputs and the training data, a confidence score indicative of the probability.

Abstract: Novel tools and techniques are provided for implementing intent-based orchestration using network parsimony trees. In various embodiments, in response to receiving a request for network services that comprises desired characteristics and performance parameters for the requested network services without information regarding specific hardware, hardware type, location, or network, a computing system might generate a request-based parsimony tree based on the desired characteristics and performance parameters. The computing system might access, from a datastore, a plurality of network-based parsimony trees that are each generated based on measured network metrics, might compare the request-based parsimony tree with each of one or more network-based parsimony trees to determine a fitness score for each network-based parsimony tree, and might identify a best-fit network-based parsimony tree based on the fitness scores.

Abstract: This disclosure describes systems, methods, and devices related to testing servers provisioned in an edge computing device. An edge computing device may detect that a server has been provisioned to access a public network cloud using backbone routers of the edge computing device; provide a neural network for evaluating a probability that a performance of the server will satisfy performance criteria, the neural network trained based on training data comprising labeled settings data and feature weights; input settings and configurations associated with the provisioning of the server as inputs to the neural network; and generate, using the neural network, based on the inputs and the training data, a confidence score indicative of the probability.

Abstract: This disclosure describes systems, methods, and devices related to automating and testing communication network topologies.

Abstract: A soil treatment may include vermicompost and at least one component chosen from the group of: a calcium source component, an organic component. A calcium source component may be gypsum. An organic source may be humus.

Abstract: Fabrics and garments are disclosed that have dual protection against flash fires and electrical arc flashes. The fabrics can be made from spun yarns containing an intimate blend of fibers. The fibers contained in each yarn can include modacrylic fibers, cellulose fibers, polyamide fibers, and inherently flame resistant fibers.

Abstract: Novel tools and techniques are provided for implementing intent-based orchestration using network parsimony trees. In various embodiments, in response to receiving a request for network services that comprises desired characteristics and performance parameters for the requested network services without information regarding specific hardware, hardware type, location, or network, a computing system might generate a request-based parsimony tree based on the desired characteristics and performance parameters. The computing system might access, from a datastore, a plurality of network-based parsimony trees that are each generated based on measured network metrics, might compare the request-based parsimony tree with each of one or more network-based parsimony trees to determine a fitness score for each network-based parsimony tree, and might identify a best-fit network-based parsimony tree based on the fitness scores.

Abstract: Fabrics and garments are disclosed that have dual protection against molten metal splashes and electrical arc flashes. The fabrics can be made from spun yarns containing an intimate blend of fibers. The fibers contained in each yarn can include wool fibers, flame resistant cellulose fibers, and nylon fibers. In one aspect, relatively long wool fibers are incorporated into the yarns.

Abstract: Novel tools and techniques are provided for implementing intent-based orchestration using network parsimony trees. In various embodiments, in response to receiving a request for network services that comprises desired characteristics and performance parameters for the requested network services without information regarding specific hardware, hardware type, location, or network, a computing system might generate a request-based parsimony tree based on the desired characteristics and performance parameters. The computing system might access, from a datastore, a plurality of network-based parsimony trees that are each generated based on measured network metrics, might compare the request-based parsimony tree with each of one or more network-based parsimony trees to determine a fitness score for each network-based parsimony tree, and might identify a best-fit network-based parsimony tree based on the fitness scores.

Abstract: Novel tools and techniques are provided for implementing intent-based orchestration using network parsimony trees. In various embodiments, in response to receiving a request for network services that comprises desired characteristics and performance parameters for the requested network services without information regarding specific hardware, hardware type, location, or network, a computing system might generate a request-based parsimony tree based on the desired characteristics and performance parameters. The computing system might access, from a datastore, a plurality of network-based parsimony trees that are each generated based on measured network metrics, might compare the request-based parsimony tree with each of one or more network-based parsimony trees to determine a fitness score for each network-based parsimony tree, and might identify a best-fit network-based parsimony tree based on the fitness scores.

Abstract: Novel tools and techniques are provided for implementing intent-based orchestration using network parsimony trees. In various embodiments, in response to receiving a request for network services that comprises desired characteristics and performance parameters for the requested network services without information regarding specific hardware, hardware type, location, or network, a computing system might generate a request-based parsimony tree based on the desired characteristics and performance parameters. The computing system might access, from a datastore, a plurality of network-based parsimony trees that are each generated based on measured network metrics, might compare the request-based parsimony tree with each of one or more network-based parsimony trees to determine a fitness score for each network-based parsimony tree, and might identify a best-fit network-based parsimony tree based on the fitness scores.

Abstract: A mobile spray manifold assembly has a frame and at least one attachment arm secured to and extending from the frame and configured to removably mount to a vehicle for movement and maneuvering of the mobile spray assembly. A spray manifold is removably secured to, and supported by, the frame and has a plurality of spray nozzles mounted thereto and configured to spray a substance onto an underlying surface. A distribution manifold has an inlet and a plurality of outlets fluidly connected with the plurality of spray nozzles in parallel. A valve system is positioned upstream of the distribution manifold and fluidly connected with the inlet of the distribution manifold. The valve system includes a first flow control valve configured for fluid connection with a first substance containing container and a second flow control valve configured for fluid connection with a second substance containing container.

Abstract: Novel tools and techniques are provided for implementing intent-based disaggregated and distributed composable infrastructure. In some embodiments, a computing system might receive, over a network, a request for network services from a customer, the request comprising desired characteristics and performance parameters, without specific information regarding any of hardware, hardware type, location, or network for providing the requested services.

Abstract: Novel tools and techniques are provided for implementing intent-based orchestration using network parsimony trees. In various embodiments, in response to receiving a request for network services that comprises desired characteristics and performance parameters for the requested network services without information regarding specific hardware, hardware type, location, or network, a computing system might generate a request-based parsimony tree based on the desired characteristics and performance parameters. The computing system might access, from a datastore, a plurality of network-based parsimony trees that are each generated based on measured network metrics, might compare the request-based parsimony tree with each of one or more network-based parsimony trees to determine a fitness score for each network-based parsimony tree, and might identify a best-fit network-based parsimony tree based on the fitness scores.

Abstract: A float vessel includes a buoyant body with a decorative top portion and a bottom portion with a plurality of connectors for material attachments. The bottom portion includes the plurality of connectors disposed in a spaced manner along the lower surface. Each connector provides a removable connection which allows a user to choose and customize the type of material attachments connected to the body and specific arrangement on the lower surface. Each material attachment can include a male threaded mount ring with a material permanently attached thereto. The material as mentioned can be a crystal, a gemstone a mineral, or other natural material which is permanently attached to the mount ring. The invention includes the method of harnessing the magnified healing energies of crystals, gemstones or minerals with the floating vessel.