Abstract: A method to for real-time scoring, classification, assortment, and contextual nurturing of digital engagements using numerical, statistical, and heuristics-based techniques. Ongoing customer engagement segregation into personas based on discovered traits and collective inferences drawn from historic and ongoing engagements, clustering ongoing engagements using numerical and string manipulation techniques. Computing real time noise and focus scores for engagements, facilitating stateless nudges for increasing favorable engagements, and providing business insights on possibly undiscovered noise and focus patterns that eventually culminate as desired or non-desired outcomes. Generating interest score for engagements based on non-linear formulations of noise and focus scores, and then clustering engagements with similar interests and focus into communities to generate additional insights and facilitate secure communication among users, efficient marketing campaigns and decisioning sales lead assignment.

Abstract: An industrial vehicle sun protector for the protection of an operator located in the cabin of an industrial vehicle, comprising: a mounting arrangement configured to be installed in the cabin of an industrial vehicle, and a rigid shade member for obstructing the passage of sun rays therethrough, the shade member being pivotably connected to the mounting arrangement such that the shade member is pivotable between a stored position and different selectable deployed positions, wherein adjustment from one of the deployed positions to another one of the deployed positions allows for protecting the operator from sun rays at different positions of the sun, wherein a pivoting of the shade member from the stored position to any one of the different selectable deployed positions results in an angular displacement of the shade member greater than 90°.

Abstract: In one aspect, a computerized method useful for saving a virtual machine comprising: creating a virtual machine on a hypervisor; issuing a request to a central orchestrator to save the virtual machine, wherein the central orchestrator is accessed via a monitor interface, and wherein the central orchestrator communicates with a plurality of virtual machines that includes the virtual machine; with the central orchestrator, connecting to a hypervisor manager located on the hypervisor where the virtual machine is located on the hypervisor and passes a set of information comprising a VM storage image location.

Abstract: A machine learning model trained with a triplet loss function classifies input strings into one of multiple hierarchical categories. The machine learning model is pre-trained using masking language modeling on a corpus of unlabeled strings. The machine learning module includes an attention-based bi-directional transformer layer. Following initial training, the machine learning model is refined by additional training with a loss function that includes cross-entropy loss and triplet loss. This provides a deep learning solution to classify input strings into one or more hierarchical categories. Embeddings generated from inputs to the machine learning model capture language similarities that can be visualized in a cartesian plane where strings with similar meanings are grouped together.

Abstract: A hardware accelerator is configured to perform matrix multiplication and/or additional operations to optimize keypoint matching. A sum of squared error (SSE) calculation may be determined by utilizing the hardware accelerator to perform matrix multiplication to obtain a cost matrix for two sets of keypoint descriptors from two images. The hardware accelerator may determine a best cost calculation for each keypoint in each direction, which is utilized to perform keypoint matching.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for system contextualization. For example, a method can include obtaining information pertaining to (i) parts of a manufacturing plant and (ii) steps of a process executing on the manufacturing plant; generating one or more virtual representations associated with each of the parts and the steps of the process; receiving a query from a user, the query being in conformation with a format of a hierarchical template model; and generating a response to the query based on the one or more virtual representations of the manufacturing plant.

Abstract: A method for sparse optical flow based tracking in a computer vision system is provided that includes detecting feature points in a frame captured by a monocular camera in the computer vision system to generate a plurality of detected feature points, generating a binary image indicating locations of the detected feature points with a bit value of one, wherein all other locations in the binary image have a bit value of zero, generating another binary image indicating neighborhoods of currently tracked points, wherein locations of the neighborhoods in the binary image have a bit value of zero and all other locations in the binary image have a bit value of one, and performing a binary AND of the two binary images to generate another binary image, wherein locations in the binary image having a bit value of one indicate new feature points detected in the frame.

Abstract: Disclosed are various embodiments for improving the resiliency and performance of clustered memory. A computing device can generate at least one parity page from at least a first local page and a second local page. The computing device can then submit a first write request for the first local page to a first one of a plurality of memory hosts. The computing device can also submit a second write request for the second local page to a second one of the plurality of memory hosts. Additionally, the computing device can submit a third write request for the parity page to a third one of the plurality of memory hosts.

Abstract: Composite decks increase bridge strength and stiffness. Prestressed composite open web steel girder has added advantage of high strength cable support. Results of typical 125 m span bridges having heights of 9.0 m, 10.0 m and 12.5 m, and another 50.0 m span and 2.5 m height are given. Member stresses and bridge deflections during erection remained safe. Average steel off take for the 125 m bridge is 2.65 t/m and for the 50 m span bridge it is 1.77 t/m for limiting live load deflection of Span/800. Its reserve strength is 3.2 times service condition live load. The girders are panel wise workshop fabricated, assembled at site, jacked up or crane lifted to secure over bearings. Connection of the cross members, and onsite deck casting in parts with stage wise bottom chord prestressing is carried out. Short to long span bridges for single or multiple lanes in road, rail, metro rail, and coastal link projects are feasible.

Abstract: A radio frequency integrated circuit (RFIC) is described. The RFIC includes a switch field effect transistor (FET). The switch FET includes a source region, a drain region, a body region, and a gate region. The RFIC also includes a dynamic bias control circuit. The dynamic bias control circuit includes at least one transistor coupled between the body region and the gate region of the switch FET.

Abstract: A radio frequency (RF) device is described. The RF device includes a switch field effect transistor (FET), having a source region, a drain region, a body region, and a gate region. The RF device also includes a dynamic bias control circuit. The dynamic bias control circuit includes a first transistor coupled to the gate region of the switch FET by a gate resistor. The dynamic bias control circuit also includes a second transistor coupled to the first transistor and coupled to the body region of the switch FET by a body resistor. The dynamic bias control circuit further includes a capacitor coupled to the body region of the switch FET by the body resistor, and the gate region of the switch FET, by the gate resistor.

Abstract: Disclosed are various embodiments for improving the resiliency and performance of clustered memory. A computing device can generate at least one parity page from at least a first local page and a second local page. The computing device can then submit a first write request for the first local page to a first one of a plurality of memory hosts. The computing device can also submit a second write request for the second local page to a second one of the plurality of memory hosts. Additionally, the computing device can submit a third write request for the parity page to a third one of the plurality of memory hosts.

Abstract: The present disclosure relates to selectively analyzing digital content items from a social networking system to generate a searchable graph object that facilitates visualization of correlations between entities of interest (e.g., brands, products, services, companies), concepts (e.g., domain-specific and/or general terms), hashtags, and other output classes. For example, systems described herein involve collecting images and/or videos that are publicly available via a social networking platform and evaluating content and metadata thereof to identify entities of interest therein and predict various concepts therein to generate a graph object that provides a searchable matrix. The systems herein provide a mechanism for processing a graph query that presents a relational graph showing correlations between the query and the various output classes.

Abstract: The present disclosure is an FCC additive composition comprising an acidity enhanced modified clay; an acidity enhanced modified alumina; a binder; a phosphorous oxide and a boron oxide, as well as a process for preparing the FCC additive composition. The FCC additive as disclosed is capable of cracking bottoms comprising large hydrocarbon molecules/heavy fuel oils, it enhances bottoms conversion and reduces formation of dry gas.

Abstract: Implementations are directed to configuring a set of applications and one or more modules associated with each application, wherein the one or more modules of an application comprise functional components that are bundled into the application, wherein each application is associated with a site of an on-premise system where the application is to be deployed; creating a process flow that includes a plurality of nodes, each node corresponding to a process executed at the site; associating a collection of applications to each node included in the process flow, wherein the collection of applications are selected from the set of applications, wherein the set of applications are categorized based on a relevance score of each application; and deploying the process flow and the collection of applications associated with each node to corresponding on-premise edge devices of the on-premise system based on the site of each application.

Abstract: A method for enhancing tangible content on a physical activity surface is described. In an example implementation, the method includes capturing, using a video capture device of a computing device, a video stream that includes an activity scene of a physical activity surface; detecting in the video stream, using a detector executable on the computing device, a tangible content item on the physical activity surface; recognizing, from the video stream, one or more visually instructive elements in the tangible content item; determining a tangible identifier based on the one or more visually instructive elements in the tangible content item; retrieving a digital content item using the tangible identifier; and providing the digital content item on the computing device.

Abstract: The present disclosure relates to generating a complex entity index based on a combination of atomic and deep learned attributes associated with instances of a complex entity. For example, systems described herein generate a multi-dimensional representation of entity instances based on evaluation of digital content associated with the respective entity instances. Systems described herein further generate an index representation in which similarity of entity instances are illustrated and presented via an interactive presentation that enables a user to traverse instances of an entity to observe similarities and differences between instances of an entity that have similar embeddings to one another within a multi-dimensional index space.

Abstract: Several methods and systems for facilitating multimedia data encoding are disclosed. In an embodiment, a plurality of picture buffers associated with multimedia data are received in an order of capture associated with the plurality of picture buffers. Buffer information is configured for each picture buffer from among the plurality of picture buffers comprising at least one of a metadata associated with the corresponding picture buffer and one or more encoding parameters for the corresponding picture buffer. A provision of picture buffers in an order of encoding is facilitated based on the configured buffer information.

Abstract: A data processing system implements obtaining query parameters for a query for content items in a datastore, the query parameters including attributes of content items for which a search is to be conducted; obtaining a first set of content items from a content datastore based on the query parameters; analyzing the first set of content items using a first machine learning model trained to generate relevant content information that identifies a plurality of relevant content items included in the first set of content items; and analyzing the plurality of relevant content items using a second machine learning model configured to output novel content information, the novel content information including a plurality of content items predicted to be relevant and novel, the novel content information ranking the plurality of content items predicted to be relevant and novel based on a novelty score associated with each respective content item.

Abstract: An example system includes a stand configured to position a computing device proximate to a physical activity surface. The system further includes a video capture device, a detector, and an activity application. The video capture device is coupled for communication with the computing device and is adapted to capture a video stream that includes an activity scene of the physical activity surface and one or more interface objects physically interactable with by a user. The detector is executable to detect motion in the activity scene based on the processing and, responsive to detecting the motion, process the video stream to detect one or more interface objects included in the activity scene of the physical activity surface. The activity application is executable to present virtual information on a display of the computing device based on the one or more detected interface objects.