Abstract: Methods and systems for authentication and establishment of secure connection for accessing edge computing services are provided. The method includes dynamically deriving a pre-shared key (PSK) and use the dynamically derived PSK for the authentication, while performing or before performing a secure connection establishment or while or before establishing a secure interface between a user equipment (UE), and a server, wherein the UE includes an Edge Enabler Client (EEC), and the server is an Edge Configuration Server (ECS). The method further includes deriving the PSK based on an Authentication and Key Management for Applications (AKMA) application key.

Abstract: A kiosk for steaming and pressing a garment includes: a chamber; a hanger arranged within the chamber and configured to receive a garment; a first steam nozzle arranged below the hanger and configured to expel a first steam jet toward an interior surface of the garment. The kiosk further includes a wand configured for manual manipulation over select regions of the garment to remove wrinkles from select regions of the garment and including: a head configured to mate with a mount arranged inside the chamber; a second steam nozzle arranged on the head and configured to expel a second steam jet of pressurized steam; and a steam supply line configured to deliver steam from a steam generator to the second steam nozzle and defining a length to enable the head to extend within the chamber.

Abstract: A method performed by a user equipment (UE) may comprise: receiving one or more discontinuous coverage parameters associated with a first SIM of the UE, identifying a default SIM of at least one service as the first SIM of the UE over a first non-terrestrial network (NTN), estimating a time period for completion of the at least one service based on one or more service parameters associated with the at least one service, configuring a second SIM of the UE to provide the at least one service based on the time period and the one or more discontinuous coverage parameters, and switching the default SIM of at least one service from the first SIM to the second SIM of the UE.

Abstract: Machine learning systems and methods that determine gaze direction by using face orientation information, such as facial landmarks, to modify eye direction information determined from images of the subject's eyes. System inputs include eye crops of the eyes of the subject, as well as face orientation information such as facial landmarks of the subject's face in the input image. Facial orientation information, or facial landmark information, is used to determine a coarse prediction of gaze direction as well as to learn a context vector of features describing subject face pose. The context vector is then used to adaptively re-weight the eye direction features determined from the eye crops. The re-weighted features are then combined with the coarse gaze prediction to determine gaze direction.

Abstract: Systems and methods for managing asynchronous resets in an SoC have been described. In an illustrative, non-limiting embodiment, a reset generation circuit in an SoC, may include a first reset generation circuit configured to enable a first reset signal based, at least in part, upon a clock signal and an indication to reset. The reset generation circuit may also include a second reset generation circuit coupled to the first reset generation circuit, in which the second reset generation circuit is configured to enable a second reset signal after the first reset signal is enabled. The first reset signal and the second reset signal are both provided to a component of the SoC.

Abstract: Examples described herein relate to systems, apparatuses, and methods for generating a securitized loan blockchain, including providing at least one security criterion, identifying at least one loan block of a loan blockchain that satisfies the security criterion, where the loan blockchain corresponds to at least one loan, and the security criterion is associated with the at least one loan block and a dynamic financial profile of a borrower of the at least one loan, and generating a security blockchain including at least a first security block, where the first security block is associated with a loan link identifier object that identifies the loan block of the loan blockchain.

Abstract: Devices, methods, and systems for broadcasting a location of a fire are described herein. One device includes a controller configured to receive a report of a fire from a fire sensing device, determine a location of the fire based on the fire sensing device that reported the fire, and transmit a message including the location of the fire to a sounder device for broadcast by the sounder device.

Abstract: A filter circuit for use with a system configured to be coupled with an electrical load, the filter circuit comprising a first filter, wherein the first filter is configured to receive a first voltage and provide an output voltage, the output voltage being the first voltage after filtering by the first filter, and the filter circuit is configured to adjust the bandwidth of the first filter in response to a load transient.

Abstract: A method and system provide for the identification of a tendon in ultrasound imaging data, by deploying an artificial intelligence (AI) model to execute on a computing device, wherein the AI model is trained to identify a plurality of different types of tendons imaged in ultrasound imaging data, and when deployed, the computing device generates a probability for each of the plurality of different types of tendons that the type of tendon is imaged in new ultrasound imaging data and wherein such probability is corroborated by at least one live deployment input.

Abstract: Arrangements for database schema creation and control are provided. In some aspects, a user may request creation or modification of a database schema. In response to receiving the request, one or more interactive user interfaces may be generated. The one or more interactive user interfaces may enable a user to select one or more selectable options for presenting data, establishing relationships between data, data sources, and the like. The schema, including a schema configuration including the presentational aspects and relationships, may be stored. A user may request to view data and the stored database schema may be retrieved. The schema may be transmitted to a configuration engine that may retrieve the requested data from one or more non-relational database sources. One or more user interfaces may be dynamically generated based on the schema configuration and may include the retrieved data.

Abstract: Systems and methods for multi-view cooperative contrastive self-supervised learning, may include receiving a plurality of video sequences, the video sequences comprising a plurality of image frames; applying selected images of a first and second video sequence of the plurality of video sequences to a plurality of different encoders to derive a plurality of embeddings for different views of the selected images of the first and second video sequences; determining distances of the derived plurality of embeddings for the selected images of the first and second video sequences; detecting inconsistencies in the determined distances; and predicting semantics of a future image based on the determined distances.

Abstract: Medical energy devices, systems, and methods that allows for treatment of systemic inflammatory disorders through modulation of neural activity.

Abstract: An accessory device with a button includes modifications and features to conceal internal features of the button as well as block light from passing through some locations of the button. The button may include several pillars and a compressible member between the pillars. The compressible member may conform to the shape of the pillars. In some exemplary implementations, the button may further include a seal that extends around the perimeter of the button to conceal internal features of the button. Additionally, the button may include extensions that further conceal internal components. Still further, the button may include an anti-reflective coating. Modifications to a sidewall may include a compressible member that inclines toward the button and/or an elevated lip used in conjunction with the extension of the button to conceal internal features.

Abstract: A method is disclosed for selecting an optimal value for an adjustable parameter of a structured light metrology (SLM) system, for scanning an object. The SLM system performs test scans of the object to acquire a plurality of sets of measurements of the object, wherein a different value is used for the parameter for each test scan. For each test scan, a value of a quality metric is calculated, based on the set of measurements of the object associated with the test scan and simulation data representing a simulated scan of the object by the SLM system. A test scan is then identified that has a quality metric value that satisfies a specified optimization criterion; and a value of the adjustable parameter that was used for the identified test scan is selected as the optimal value of the adjustable parameter, for scanning the object.

Abstract: Embodiments of present disclosure relates to method and gesture prediction system for predicting gesture of subjects for controlling AV during navigation. The gesture prediction system obtains data from sensors and generates context information of environment of AV. The gesture prediction system generates parameters for sampling frames for determining gesture of subjects. The gesture prediction system estimates current pose, and subsequent poses by extrapolating current pose and subsequent poses using deep learning techniques. Further, the gesture prediction system infers current behaviour of subjects by classifying current pose and subsequent poses into one of predefined gesture categories. The gesture prediction system predicts gesture of subjects based on current behaviour, context information and location information of subjects for controlling AV during navigation. Thus, the present disclosure forecast gestures of subjects at a faster rate and controls the AV during the navigation.

Abstract: A method for automating media optimization for communication system providers using call analytics. The method includes monitoring activity of a user accessing an online platform of the communication system provider, and receiving a telephone call made by a caller to a call center of the communication system provider, the call being associated with an offer. The method additionally includes determining that an identity of the user accessing the online platform is the same as an identity of the caller. The method further includes providing feedback data to the communication system provider including the identity of the user, and optimizing a media experience hosted on the online platform of the communication system provider based on the feedback data.

Abstract: A system and method for dynamically recommending set of potential courses of actions for a user within a search query are disclosed. The system receives search queries from a user and determines dialogue attributes and context variables based on these queries. It identifies query parameters and additional parameters, The system analyzes user preferences, and determines entities and variants based on the user's preferences and the conversation context. The system then determines the types of set of potential courses of actions to generate for the search queries. Further, the system retrieves set of potential courses of, associated applications, and integration parameters from databases based on the determined types. Using large language models (LLMs) in generative AI or conversation AI environments, the system generates responses and clickable elements corresponding to the search queries, incorporating the recommended set of potential courses of actions, applications, and deep integration parameters.

Abstract: There is provided a computer-implemented method for synthesising magnetic resonance angiography (MRA) images from other types of inputted magnetic resonance (MR) images, in a subject-specific manner, the method comprising providing a conditional generative adversarial network (cGAN) that learns a combined latent representation of the inputted magnetic resonance images for each subject and learns to transform this combined latent representation to a magnetic resonance angiography image corresponding to that subject, providing a plurality of magnetic resonance (MR) images as input into the cGAN, and outputting a plurality of MRA images from the cGAN based on the plurality of inputted MR images.

Abstract: A vehicle may include rear ground traction members, front ground traction members, a rear drive system to drive the rear ground traction members, a continuously variable speed front drive system to drive the front ground traction members and a controller. The variable speed front drive system may include a hydraulic pump, a hydraulic motor driven by the hydraulic pump and operably coupled to the front ground traction members by a planetary gear assembly. The planetary gear assembly may include a sun gear coupled to and driven by the hydraulic motor, a ring gear operably coupled to the rear ground traction members and a planet carrier carrying planet gears intermeshing between the ring gear and the sun gear. The planet carrier has an output shaft operably coupled to the front ground traction members. At least one sun brake is actuatable by the controller to retard rotation of the sun gear.

Abstract: An orchestration layer for execution user defined automation workflows. The orchestration layer may include multiple process instances that host user defined automation workflows that automate processes or tasks. To improve system performance and reduce operating costs, the user defined automation workflows are deployed to the orchestration layer in a standard format that standardizes the user defined workflow configurations. The orchestration layer may also dynamically scale the computational resources allocated to teach process instance based on the properties of each user defined automation workflow.