Abstract: A method for demosaicing of images captured using different types of color filter arrays (CFA)in a device are provided. The method includes receiving an input CFA data comprising one or more CFA images from one or more CFAs, determining a CFA type associated with each CFA image of the one or more CFA images using a CFA identification module, identifying, for each CFA image, a CFA-specific encoder from an encoder pool based on the determined CFA type, encoding each CFA image using the identified CFA-specific encoder to generate a latent embedding corresponding to each CFA image, processing the latent embedding of each CFA image using the common central core to generate core latent embeddings, and generating a linear red, green, blue (RGB) image by decoding the core latent embeddings using a decoder.

Abstract: Embodiments of the present invention provide a system for employing adaptive pixel selector techniques for calculating color contrast ratio with dead pixel mitigation. The system is configured for determining that a user is testing user interface accessibility compliance of at least one user interface associated with one or more applications, determining one or more rules associated with the user interface accessibility compliance of the one or more applications, selecting a pixel from the at least one user interface, determining that the pixel is not a defective pixel, calculating a color contrast ratio associated with the pixel, determining if the color contrast ratio is in compliance with the one or more rules, and displaying an output associated with determining if the color contrast ratio is in compliance with the one or more rules.

Abstract: Systems, methods, and apparatus are provided for dynamic allocation of HSM disk space. A request to generate a data encryption key may be received and a set of logical HSM partitions scanned. When partition space is available for three keys, a set of three key versions may be generated. A first key state may be set to active and second and third key states may be set to pre-active. When no partition includes space for three keys, a new partition at the HSM may be initiated. When space is not available for a new partition at the HSM, a new partition at another HSM may be initiated. At a key rotation, partition metadata may be scanned to identify a key version in a pre-active state. The pre-active key version may be deleted, and a new active key version may be generated and stored in its place.

Abstract: A network device operating as a network node in a network fabric has a set of connection ports to provide a bandwidth capacity for the network device. The connection ports include fabric ports to connect with respective strands using multipoint optical connections. Each strand can connect network nodes of the network fabric according to a harmonic specifying a node distance between adjacent connection points on the strand. The connection ports also include server ports to connect with servers and/or external networks. The network device also includes processing logic to distribute traffic for a destination node to network nodes along corresponding strands of the fabric ports.

Abstract: A method is provided for feature-based optical character recognition (OCR) for identification documents. The method comprises capturing an image of an identification document containing a photograph of a subject and at least one watermark image; applying facial recognition algorithms to detect and identify a set of facial features within the photograph, thereby obtaining a set of identified facial features, wherein said facial features are selected from the group consisting of eyes, lips, and ears; locating and extracting the photograph of the subject, independently of predefined template coordinates, based on the set of identified facial features; utilizing a gradient-based analysis to differentiate between the photograph and the at least one watermark image based on gradient intensity variations; and using the extracted photograph and associated data in at least one identity verification application.

Abstract: Apparatus and methods for dynamic key encryption are provided. The apparatus and methods may include an encryption server, a hardware security module, and a user device. The hardware security module may generate a static symmetric key. The server may generate a random initialization vector. The random initialization vector may be hashed. The hash may be combined with the static symmetric key to generate a dynamic key. The dynamic key may then be used to encrypt data. The encrypted data may be bundled with the random initialization vector to decrypt the data with the dynamic key.

Abstract: Embodiments of the present invention provide a system for employing adaptive pixel selector techniques for calculating color contrast ratio with dead pixel mitigation. The system is configured for determining that a user is testing user interface accessibility compliance of at least one user interface associated with one or more applications, determining one or more rules associated with the user interface accessibility compliance of the one or more applications, selecting a pixel from the at least one user interface, determining that the pixel is not a defective pixel, calculating a color contrast ratio associated with the pixel, determining if the color contrast ratio is in compliance with the one or more rules, and displaying an output associated with determining if the color contrast ratio is in compliance with the one or more rules.

Abstract: The present invention relates to the beneficial effect of Chebulinic acid (CA) and its enriched standardized fraction (CAEF) isolated/prepared from the fruits of Terminalia chebula for the management of Benign Prostatic Hyperplasia respectively. Further, it relates to a novel, convenient and economically viable method for the isolation of chebulinic acid (CA) and ellagic acid (EA) from the dried and powdered fruits of T. chebula without using any expensive and tedious chromatographic techniques such as HPLC, column chromatography, resins etc.

Abstract: Various paths between a networking source and networking destination are identified that have various different associated path metrics. Rather than automatically use all paths or a single path for a route between the devices, a networking device clusters paths according to the respective path metrics to identify paths sufficiently similar to one another. The cluster associated with a preferred path is then determined and the associated paths with that cluster are stored as the paths used for a route between the networking source and networking destination.

Abstract: A network device operating as a network node in a network fabric has a set of connection ports to provide a bandwidth capacity for the network device. The connection ports include fabric ports to connect with respective strands using multipoint optical connections. Each strand can connect network nodes of the network fabric according to a harmonic specifying a node distance between adjacent connection points on the strand. The connection ports also include server ports to connect with servers and/or external networks. The network device also includes processing logic to distribute traffic for a destination node to network nodes along corresponding strands of the fabric ports.

Abstract: Systems, methods, and other embodiments associated with a framework for multi-entity detection, data sourcing, and processing are described. In one embodiment, a multi-entity processing method includes parsing an electronic document being processed in a processing flow for a first entity to detect that the document also concerns a second entity based on entity identifiers in the document. In response to the detection, the method determines an inter-entity agreement that governs processing between the first entity and second entity by matching attributes of the document against stored agreement data structures. The method automatically orchestrates processing of an inter-entity transaction between the first entity and the second entity by generating execution steps according to sequential and parallel dependencies specified by the inter-entity agreement.

Abstract: This disclosure describes, in part, systems for enabling facilities to implement techniques to determine when users are in possession of items when located within and/or exiting the facilities. For instance, a system may use one or more sensors of a facility and of a mobile apparatus to determine interactions with items in a facility. The system may determine confidence scores for the interactions and may direct the user to varying checkout experiences based on the confidence scores associated with virtual carts of their items and may enable additional user experiences and interactions with the facility and items of the facility to improve customer experiences.

Abstract: System and methods for generating a cross-domain multilingual model are disclosed. In some embodiments, a disclosed method includes: storing, in a database, a plurality of first utterances associated with a first language, training a first model using the plurality of first utterances, the first model being associated with the first language, generating, using the first model, a plurality of first representations associated with the plurality of first utterances, training a second model, using the plurality of first representations, the second model being associated with a plurality of second languages, receiving, using the second model, a second utterance in the second language, and generating, using the second model, a response in one or more languages of the plurality of second languages.

Abstract: A computer network organized in a logical grid having rows and columns can include network nodes coupled according to harmonics. Each network node can be coupled to network nodes of the same row using a set of horizontal strands according to a set of horizontal harmonics. Each of the horizontal harmonics specifies a node distance along the row between adjacent connection points on the corresponding horizontal strand. Each network node can also be coupled to network nodes of the same column using a set of vertical strands according to a set of vertical harmonics. Each of the vertical harmonics specifies a node distance along the column between adjacent connection points on the corresponding vertical strand.

Abstract: Systems and methods for visually rendering a set of characters in a visual design are disclosed. According to certain aspects, an electronic device may determine a position for a character sizing box within a container element of the visual design. Further, the electronic device may determine a placement location for a set of characters within the character sizing box. Additionally, the electronic device may generate and display a visual rendering of the visual design that may comprise the set of characters within the character sizing box which is positioned within the container element, where the visual rendering may comprise additional content positioned relative to the set of characters according to a layout format.

Abstract: Aspects of the disclosure relate to hierarchical based decryption. A computing platform may receive, from a first user, a request to encrypt a file. The computing platform may generate, for the file, a symmetric key. The computing platform may encrypt, using the symmetric key, the file. The computing platform may receive, from a second user, a request to decrypt the encrypted file. The computing platform may identify a classification of the encrypted file, which may be one of: personal, proprietary, or company related. Based on identifying a proprietary classification, the computing platform may obtain an employee hierarchy corresponding to the first user, compare the second user to the employee hierarchy, and based on identifying that the first user is included in the employee hierarchy: decrypt, using the symmetric key, the encrypted file, and grant the second user access to the file.

Abstract: System and methods for controlling customer retention are disclosed. In some embodiments, a disclosed method includes: storing historical customer data and order data associated with a customer of a retailer within a database, receiving the order data within a time period, the order data including a plurality of orders, parsing the order data to determine an order status for each of the plurality of orders, identifying a negative order from the order data based on the order status, the negative order associated with the customer, generating, in real-time, appeasement data for the negative order, the appeasement data being associated based on the historical customer data, and transmitting, in real-time, the appeasement data to an electronic device having a user interface for display of an appeasement offer associated with the appeasement data to the customer.

Abstract: A method for automatically generating a Region Of Interest (ROI) centric image in an electronic device is provided. The method includes receiving an image frame(s), where the image frame(s) includes a plurality of objects. Further, the method includes identifying a first ROI, a second ROI, and a non-ROI in the image frame(s). Further, the method includes rescaling the second ROI in the image frame(s), summarizing the non-ROI in the image frame(s), and automatically generating the ROI centric image, where the ROI centric image includes the rescaled-first ROI, the rescaled-second ROI, the rescaled-non-ROI, and the summarized non-ROI.

Abstract: In one embodiment, a method includes configuring a first application probe class and a second application probe class. The first application probe class may be associated with a first Differentiated Services Code Point (DSCP), and the second application probe class may be associated with a second DSCP. The method also includes determining an adaptive Forward Error Correction (FEC) data policy for the first application probe class and the second application probe class, calculating a first loss value associated with the first application probe class for a link between a first network node and a second network node, and comparing the first loss value to a first loss threshold. The method further includes determining whether to activate FEC processing for the first application probe class in response to comparing the first loss value to the first loss threshold.

Abstract: Indexing application actions for voice-based execution is provided. An indexer of a device receives, from an application executed by the device, an indication of an action and a deep link corresponding to the action declared by the application via an application programming interface. The indexer accesses an index stored in the memory of the device that is accessible to a plurality of applications. The indexer inputs, into a location in the index, the action and the deep link with a cryptographic token that prevents access to the deep link by unauthorized applications. A digital assistant of the device receives a voice query detected by a microphone and parses the voice query to determine the action. The digital assistant identifies in the index the deep link corresponding to the action. The digital assistant invokes, with the cryptographic token, the deep link to cause the application to perform the action.