Abstract: Polymer fiber or corresponding fabric including graphene and/or its derivative(s), wherein the graphene including polymer fabric is characterized by feature selected from the group consisting of anti-microbial, antistatic, wicking, thermal cooling, anti-odour, and ultraviolet protection, or any combination thereof. The graphene including polymer fiber or fabric shows several further beneficial properties including but not limited to good/excellent washing fastness, rubbing fastness, perspiration fastness, sublimation fastness, and light fastness. A process by which the graphene and/or its derivative(s) is incorporated in a polymer during its synthesis. The polymer is subsequently drawn into a fiber or fabric, and is capable of being converted into commercial products. A method to improve the aforementioned properties in a polymer fiber or fabric.

Abstract: Systems and methods are presented herein for generating an augmented reality (“AR”) display with user interface (“UI”) elements that respond to changes in pupil characteristics in response to detecting device streaming content. A media stream playing on a device that is within a threshold distance of the AR device is detected. The source of the media stream is identified. The AR device queries the source of the media stream for a consumption option. An AR overlay is generated and comprises selectable UI elements corresponding to the consumption options. In response to receiving an input at a UI element, the AR overlay is generated based on the consumption option.

Abstract: The disclosure relates to system and method for generating recommendations for capturing images of a real-life object with essential features. The method includes detecting an Augmented Reality (AR) plane for a target object. The method further includes capturing a set of poses corresponding to the target object and a set of coordinate points in the AR plane. The set of poses includes a tracking marker, and the set of coordinate points indicates a location of the target object. The method further includes determining an instant distance between the AR imaging device and the target object, and an instant angle of the AR imaging device with respect to the target object. The method further includes dynamically generating the recommendations for adjusting a position and an orientation of the AR imaging device with respect to the target object.

Abstract: A bearing assembly of a power generation structure including, a rail; and a housing adapted to support the rail; where the housing includes a fixed housing portion attached to a support beam, and an adjustable housing portion attached to rail, where a low friction material is present at an interface between an exterior surface of rail and an interior surface of the adjustable housing portion, where the adjustable housing portion is capable of self-aligning adjustment of at least a portion of the rail out of alignment with a central axis of the support beam.

Abstract: Disadvantage of state-of-the-art scheduling mechanisms for Electric Vehicle (EV) charging is that they fail to accommodate dynamic requirements in terms of charging needs. The disclosure herein generally relates to EV fleet charging, and, more particularly, to a method and system for Electric Vehicle (EV) fleet charging by accommodating one or more dynamic requirements. The system initially generates a base charging plan for a fleet of EVs. Further, the system checks if the base charging plan is to be modified to accommodate one or more dynamic charging requirements obtained. Upon determining that the base charging plan is to be modified, the system modifies the base charging plan till a) no more vehicles are left to charge, or b) all of a plurality of chargers have an assignment.

Abstract: A technique monitors input/output (I/O) and Persistent Reservation (PR) activity patterns to detect degraded performance of a highly available and fault tolerant application executing in a multi-site disaster recovery (DR) environment. Multiple instances of the application execute in different virtual machines (VMs) of a compute layer within a guest clustering configuration that extends across clusters of the sites. A storage layer of the clusters provides shared storage to the multiple VMs across the multiple sites. One of the sites is configured as an active storage site configured to receive and service I/O requests from the compute layer. A single instance of the application is active at a time and configured as a “compute owner” of the shared storage to issue the I/O requests to the shared storage. The compute owner and active storage site may not be co-located on the same site, leading to excessive I/O and PR activity patterns indicative of degraded performance.

Abstract: Described herein is a method for determining process drifts or outlier wafers over time in semiconductor manufacturing. The method involves obtaining a key performance indicator (KPI) variation (e.g., LCDU) characterizing a performance of a semiconductor process over time, and data associated with a set of factors associated with the semiconductor process. A model of the KPI and the data is used to determine contributions of a first set of factors toward the KPI variation, the first set of factors breaching a statistical threshold. The contributions from the first set of factors toward the KPI variation is removed from the model to obtain a residual KPI variation. Based on the residual KPI variation, a residual value breaching a residual threshold is determined. The residual value indicates process drifts in the semiconductor process over time or an outlier substrate corresponding to the residual value at a certain time.

Abstract: Various embodiments disclose a glow plug for a solid oxide fuel cell system. The glow plug includes a housing having a first end portion and a second end portion. The glow plug includes a heating element longitudinally disposed in the housing, extending from the second end portion of the housing towards the first end portion and extending outwardly from the housing for igniting fuel. Further, the glow plug includes a pair of coiled wires electrically connected to the heating element. Further, the glow plug includes a potting compound disposed within the second end portion of the housing for securing electrical coupling of the pair of coiled wires with the heating element. Furthermore, the glow plug includes a sealing element configured to form an air-tight connection between the housing and the heating element. The sealing element is positioned on top of the potting compound.

Abstract: Exemplary methods, apparatuses, and systems maintain network membership information for a host when it is disconnected from a controller. When the host detects a loss of connectivity with the network controller, the host identifies and selects one or more hosts that are members of a control logical network. The control logical network includes hosts configured to run data compute nodes that are members of the overlay network, regardless of whether or not each of the hosts is currently running a data compute node that is a member of the overlay network. The host then sends any broadcast, unknown destination, or multicast (BUM) data packet(s) to the selected one or more hosts.

Abstract: Symmetric networking techniques disclosed herein can be applied by gateway routers in cloud networks. The techniques can ensure that both outbound traffic received at a cloud from a branch device and return traffic directed from the cloud back to the branch device are processed by a same gateway router. The gateway router can use network address translation to insert IP addresses from an inside pool and an outside pool assigned to the router.

Abstract: A computing system is provided, including a processor and memory storing instructions that cause the processor to execute a domain name service (DNS) log analyzer configured to identify a container identifier associated with a DNS request and a destination IP address associated with a DNS response to the DNS request, using one or more DNS logs, a fleet management system record analyzer configured to identify a first service associated with the container identifier and a second service associated with the destination IP address, using one or more fleet management system logs, and a dependency map generator configured to generate a service-to-service dependency map between the identified first service and the identified second service.

Abstract: Techniques for enhancing actionable opportunities through machine learning are disclosed. In some embodiments, a system includes an event listener for detecting an opportunity to perform an action using one or more computing resources. When a new opportunity is detected, the system generates a set of search criteria, which is used to search a set of external web resources for current events. The system may then generate, using a machine learning model as a function of one or more features extracted from current events satisfying the search criteria, a score representing a likelihood of success that the action leads to an optimal result. The system may tune the machine learning model based on feedback received that is indicative of how the current events affected the likelihood of success for the action.

Abstract: Methods, systems, and apparatuses include allocating a temporary parity buffer to a parity group. A write command is received that includes user data and is directed to a portion of memory included in a zone which is included in the parity group. A memory identifier is determined for the portion of memory. Parity group data is received from the temporary parity buffer using the memory identifier. Updated parity group data is determined using the parity group data and the user data. The updated parity group data is sent to the temporary parity buffer.

Abstract: A system and a method for determining semantic points in a human-to-human conversation is provided. The method includes identifying the human-to-human conversation including a plurality of dialogue turns and determining natural language (NL) attributes form each dialogue turn. Further, the method includes deriving a transient state, based on the one or more NL attributes. Further, the method includes deriving one or more conversation nuances associated with the human-to-human conversation based on the one or more NL attributes. Moreover, the method includes dynamically storing information associated with the human-to-human conversation based on the one or more NL attributes, the transient state, and the one or more conversation nuances associated with each dialogue turn and determining one or more semantic relations and associated dialogue timelines within the human-to-human conversation based on the dynamically stored information.

Abstract: Systems and methods include responsive to a user initiating a session with a resource, determining a master fingerprint of a device associated with the user; collecting, at predefined time intervals, one or more additional fingerprints during the session; comparing the one or more additional fingerprints with the master fingerprint; and performing one or more actions based on the comparing.

Abstract: An apparatus, method, and computer program product are provided for the improved and automatic prediction and modeling of one or more channels and relevant conditions through which resources may be directed to users in an environment where resource demand, utility, and perceived value vary over time. Some example implementations employ predictive, machine-learning modeling to facilitate the use of multiple disparate and unrelated data sets to extrapolate and otherwise predict the future needs for certain resources and identify the channels and conditions that may be employed to meet such future needs. An apparatus, method, system, and computer program product are provided for improved generating, adjusting, and/or facilitating approval of a resource offer set. Some example implementations employ one or more predictive models.

Abstract: A method for generating a content feed includes receiving, from a content provider, a target content item and a policy for the target content item, specifying a prohibited classification of the content that cannot be published adjacent to the target content item. The method also includes identifying a slot in a content feed including multiple content items. A machine learning model is then accessed and applied to two adjacent content items that are adjacent to the slot to determine whether each of the adjacent content items is the prohibited classification. Responsive to determining that the adjacent content items are not the prohibited classification, the target content item is placed in the slot, and the content feed including the target content item is sent for display to a viewing user.

Abstract: A method and system are provided to infer and use machine learning algorithms that is applied to financial data and also to determine: (i) compliance with the applied algorithms, and (ii) whether any exceptions to and/or variations from the algorithms are within an organization's norms. A method includes: receiving financial data; applying a set of dynamic or interdependent algorithms to the received financial data to obtain a set of outcomes; and using a machine learning classifier to classify the outcomes as: (i) algorithm compliant, (ii) potentially algorithm non-compliant, or (iii) algorithm non-compliant. Additionally, the method includes generating controllership persona based actionable triggers, which on acceptance corrects the anomalies in financial data, enabling the method and system to perform as a comprehensive, contextual, consistent & machine learning powered, persona based real time controllership engine leading to reduced misstatements in reported financial data.

Abstract: Described examples include an apparatus includes a dichroic wedge and a spatial light modulator optically coupled to the dichroic wedge. The apparatus also includes a display optically coupled to the spatial light modulator. The display includes a waveguide having a first side and a second side and a first diffractive optical element on the first side of the waveguide. The display also includes a second diffractive optical element on the first side of the waveguide and a third diffractive optical element on the second side of the waveguide.

Abstract: Methods and apparatus to operate closed-lid portable computers are disclosed. An example portable computer includes a first display on a lid of the portable computer, the first display to be deactivated when the lid is in a closed position; a second display distinct from the first display, the second display to be visible when the lid is in the closed position; instructions; and processor circuitry to execute the instructions to cause activation of the first display in response to a user interaction with the second display while the lid is in the closed position.