Abstract: A breathable barrier fabric that is heat sealable and minimizes lint generation without impacting the fabric's overall breathability, comfort and barrier protection, and that can be used to manufacture Helmke Category II or better cleanroom garments suitable for use in ISO Class 3 cleanroom environments and other hygienic applications. The breathable barrier fabric has a composite laminate structure including an inner monolithic film layer made from a breathable polymer bonded to first and second outer spunbond layers comprising thermoplastic bicomponent fibers each having an outer glazed surface where the thermoplastic bicomponent fibers are at least partially flattened.

Abstract: A system and method for monitoring objects in the vicinity of a work machine that is in motion includes obtaining, using a camera associated with the work machine, first image data of a field-of-view of the camera at a first position; identifying an object-of-interest within the first image data; associating an alarm with the object-of-interest, the alarm configured to indicate the presence of the object-of-interest; presenting the alarm through an output device; receiving an input to snooze the alarm for the object-of-interest; generating a mask for the object-of-interest using image coordinates of the object-of-interest within the first image data; obtaining, using the camera, second image data of the field-of-view of the camera at a second position during motion of the work machine; identifying an object within the second image data; and selectively aborting the alarm presentation through the output device in response to determining, using the mask, that the object is the object-of-interest.

Abstract: Various embodiments disclosed herein are related to a non-transitory computer readable storage medium. In some embodiments, the medium includes instructions stored thereon that, when executed by a processor, cause the processor to receive, at a server, from a cluster of nodes on an edge network in communication with the server, a resource consumption data of a service hosted on the edge network, determine, based on a metering policy, a unit of measurement, and calculate a resource consumption quantity according to the unit of measurement.

Abstract: Various embodiments disclosed herein are related to a non-transitory computer readable storage medium. In some embodiments, the medium includes instructions stored thereon that, when executed by a processor, cause the processor to identify, at an edge network, resource consumption data including a status that indicates whether a service hosted on a cluster of nodes on the edge network is powered on, a type of a resource being consumed by the service, a quantity of the resource being consumed by the service, and a time stamp associated with the resource being consumed by the service and provide, to a remote server in communication with the edge network, the resource consumption data. In some embodiments, the remote server meters resource consumption based on the resource consumption data.

Abstract: A wireless-charging adapter is connectable to a direct current (DC) fast charger and includes an induction coil for wireless charging a second induction coil on a vehicle. In some instances, the adapter may include an electrical connector to mate with a DC fast charger. In addition, the adapter may include hardware and/or software to receive a DC from the DC fast charger and provide an alternating current (AC) to the induction coil. The induction coil of the adapter may be positioned (e.g., on a ground surface) to align with an induction coil on a vehicle.

Abstract: Various embodiments disclosed herein are related to a non-transitory computer readable storage medium. In some embodiments, the medium includes instructions stored thereon that, when executed by a processor, cause the processor to receive, at a server, from a first cluster of nodes on an edge network in communication with the server, first resource consumption data of a first service hosted on the edge network, calculate a first resource consumption quantity based on the first resource consumption data, receive, from a second cluster of nodes on the edge network, delayed resource consumption data of a second service hosted on the edge network, and calculate a second resource consumption quantity based on the delayed resource consumption data. In some embodiments, the first resource consumption data is collected at a first time and the delayed resource consumption data collected at the first time.

Abstract: Various embodiments disclosed herein are related to a non-transitory computer readable storage medium. In some embodiments, the medium includes instructions stored thereon that, when executed by a processor, cause the processor to receive, at a server, from a cluster of nodes on an edge network in communication with the server, a resource consumption data of a service hosted on the edge network, determine, based on a metering policy, a unit of measurement, and calculate a resource consumption quantity according to the unit of measurement.

Abstract: Disclosed is an elevator system in a building, the elevator system including a first elevator car for transporting a passenger between a plurality of building levels, the system including a controller that controls the elevator car, the controller: rendering a first determination that the passenger has requested elevator service from the first lobby, rendering a second determination to assign the elevator car to provide service to the passenger at a first lobby for the first level, effecting a first transmission to the elevator car to effect the second determination, rendering a third determination that the first lobby becomes unoccupied in a time period between effecting the first transmission and the elevator arriving at the first lobby for servicing the first passenger, rendering a fourth determination to release the elevator car from effecting the second determination, and effecting a second transmission to the elevator car to effect the fourth determination.

Abstract: Provided herein are compositions obtained from processing pongamia oilseeds. The resulting pongamia compositions may be in the form of meal, and have an optimized nutritional composition achieved by subjecting pongamia oilseeds to certain processing steps. The resulting pongamia compositions may also have reduced levels of karanjin, pongamol and tannins. Such pongamia compositions may be suitable as food or food ingredients to humans and other animals.

Abstract: A first application name is received. For example, the first application name may be the name of the application, a Universal Resource Locator (URL) of a web site (e.g., microfocus.com), and/or the like. The first application name represents a computer application of a plurality of computer applications that the user logs into. A global password is received from the user. The global password is used as a seed to login to the plurality of computer applications. The global password is converted to a phonetic password. A first application password is generated for the first computer application based on the first application name and the phonetic password. For example, the first application name and the phonetic password are used as an input to a key deviation function. The first application password is then displayed to the user. The user can then use the displayed password to login to the first application.

Abstract: The disclosed subject matter relates to a system and method for facilitating automated conversations with users over a network. In some embodiment, a disclosed system includes a computing device operably connected to a database, and is configured to receive a plurality of incoming messages from a first user in an asynchronous manner; and identify a user request associated with the plurality of incoming messages. In these embodiments, the computing device determines that the plurality of incoming messages are all incoming messages that are associated with the user request; processes the plurality of incoming messages together; and generates at least one outgoing message as a response to the user request.

Abstract: A method and apparatus for decoding quasi-cyclic LDPC codes using a vertical layered iterative message passing algorithm. The algorithm of the method improves the efficiency of the check node update by using one or more additional magnitudes, predicted with predictive magnitude maps, for the computation of messages and update of the check node states. The method allows reducing the computational complexity, as well as the storage requirements, of the processing units in the check node update. Several embodiments for the apparatus are presented, using one or more predictive magnitude maps, targeting significant savings in resource usage and power consumption, while minimizing the impact on the error correction performance loss.

Abstract: In one embodiment, a system for managing a virtualization environment includes a set of host machines, each of which includes a hypervisor, virtual machines, and a virtual machine controller, one or more virtual disks comprising a plurality of storage devices, the one or more virtual disks being accessible by the virtual machine controllers, where the virtual machine controllers conduct I/O transactions with the virtual disks, and a deployment system configured to receive a request to deploy a virtualized file server on a plurality of host machines, where the request is associated with deployment parameters, select a deployment image for the host machines based on the deployment parameters, and provide the deployment image to each host machine via the virtual disk. The virtual machine controller located on the host machine stores at least a portion of the deployment image on a storage device associated with the host machine.

Abstract: Certain aspects of the present disclosure relate to wireless communications, and more particularly, to techniques for determining a current status of cellular vehicle to everything (CV2X) traffic and then allocating application processor resources for a CV2X call based on the current status of the CV2X traffic.

Abstract: A device may include a processor configured to select a quantum key distribution transmission; identify an optical fiber path via which the quantum key distribution transmission is to be performed; determine one or more values for at least one transmission parameter for the identified optical fiber path; and select a pulse script for the optical fiber path based on the determined one or more values for the at least one transmission parameter. The processor may be further configured to perform the quantum key distribution transmission via the identified optical fiber path using the selected pulse script.

Abstract: Various embodiments disclosed herein are related to a non-transitory computer readable storage medium. In some embodiments, the medium includes instructions stored thereon that, when executed by a processor, cause the processor to classify, on a cloud server, a plurality of clusters of an edge network based on one or more classification parameters, detect that a first cluster in a first datacenter of the edge network has an issue, determine a classification parameter value of the first cluster, determine that a second cluster in a second datacenter of the edge network has a second classification parameter value within a predetermined amount of the classification parameter value, and send an instruction to the second cluster to perform a remediation action.

Abstract: Devices and techniques are generally described for dynamic policy determination using machine learning. In some examples, first goal data may be received. A first machine learning model may generate a first computer-executable policy based at least in part on the first goal data. In some examples, a first search query may be received. In various examples, the first search query may be modified by the first computer-executable policy to generate a modified search query. In some examples, first feedback data related to user interaction with search results of the modified search query may be determined. In various examples, at least one parameter of the first machine learning model may be updated based at least in part on the first feedback data to generate a second machine learning model.

Abstract: Systems and methods provide a demand forecasting and network optimization for telecommunications services in a network. The systems and methods use classical and quantum computing devices. The computing devices evaluate data types using statistical symmetry recognition and operate between classical and quantum environments. Computing devices receive deposited data, batch data, and streamed data that relates to telecommunications services and segregate the data into spatial and temporal factors. The computing devices receive an analytic request for a forecast of the telecommunications services and conduct a multi-class plural-factored elastic cluster (MPEC) analysis for the telecommunications services using the segregated data. The MPEC analysis includes generating vectors comprised of slopes from plural coefficients to determine demand elasticity from plural features.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for utilizing multiple modalities to generate accurate two-dimensional floorplans based on sparse digital videos depicting three-dimensional space. In particular, in one or more embodiments, the disclosed systems extract both visual and audio information from sparse digital video coverage of portions of a three-dimensional space and utilize the extracted visual and audio information to generate a two-dimensional floorplan representing both viewed and unviewed portions of the three-dimensional space. For example, the disclosed systems utilize self-attention layers of a specialized machine learning model to maintain and leverage bi-directional relationships among sequences of visual and audio features to generate floorplan predictions associated with the three-dimensional space.

Abstract: A method and a system for using an online learning framework for mixture of multivariate Hawkes processes to model sequences of events are provided. The method includes: receiving data that corresponds to a group of event sequences; generating a mixture of multivariate Hawkes processes model based on the group of event sequences; and adjusting the model by applying an online learning algorithm to the generated model. The online learning algorithm includes an E-step that corresponds to updating a set of responsibilities that relates to the group of event sequences and an M-step that corresponds to updating Hawkes processes parameters that relate to the group of event sequences.