Abstract: Systems and methods for cognitive thermal and power management of Information Handling Systems (IHSs) are described. In an illustrative, non-limiting embodiment, an IHS may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution by the processor, cause the IHS to: receive temperature information from a plurality of Power Supply Unit (PSU) thermal zones within an enclosure of the IHS, identify, based at least in part upon the temperature information, that a first PSU thermal zone is cooler than a second PSU thermal zone, or that the second PSU thermal zone is hotter than the first PSU thermal zone, and, in response to the identification, set a first PSU located in the first PSU thermal zone to active mode and set a second PSU in the second PSU thermal zone to standby.

Abstract: Loading systems for prosthetic heart valve devices are disclosed. A loading funnel is provided within a watertight interior space that is at least partially filled or fillable with biocompatible fluid. Funnel may have a cylindrical end to which is connected a delivery catheter having a lumen that will receive the collapsed prosthetic heart valve device. An expanded prosthetic heart valve device may be placed within the funnel and pushed or pulled into the funnel which provides a predictable, reliable and repeatable surface for collapsing the prosthetic heart valve device. Ultimately the prosthetic heart valve device is collapsed and translated into the lumen of the delivery catheter for further translation therealong and release into the heart chamber of interest.

Abstract: The present embodiments relate to a keystore service for encryption for a computing device of a cloud computing system. The computing device of the cloud computing system can receive a key identification, an encrypted key encryption key, an identity of a client device, and a request from the client device to store the key identification and the encrypted key identification key. The computing device can verify, based at least in part on the identity, an authority of the client device to store the key identification and encrypted key encryption key. The computing device can transmit, based at least in part on the verification, the key identification, the encrypted key encryption key, and request to store the key identification and the encrypted key encryption key to a keystore.

Abstract: This disclosure relates generally to material quality inspection. Conventional approaches available for material quality inspection are unable to address concerns of complexity and cost involved. The technical problem of occluded object detection and material quality inspection for intrinsic defects identification is addressed in the present disclosure. The present disclosure provides a system and method for non-intrusive material quality inspection using three-dimensional monostatic radar based imaging, where the object under inspection undergoes a circular translation motion on a rotating platform. A modified delay-and-sum (m-DAS) algorithm is built by incorporating virtual antenna array to obtain a 3D image reconstruction of the object. From 3D reconstructed images, radial displacement as well as the angular locations of the object is identified which are further used for quality inspection of the material comprised in the object.

Abstract: A system and method of authentication-based operation of a lock mechanism include detecting an authentication signal from an electronic authentication module, authenticating the authentication signal using a stored user profile, wherein the stored user profile is used for login authentication purposes and includes at least user data, and when the authentication signal is authenticated, activating an electromechanical mechanism to release a latch switch associated with a lock mechanism.

Abstract: Systems, computer program products, and methods are described herein for secure channel selection for multi-factor authentication using non-fungible electronic resources. An example system may receive, from a user input device, a request from a user to access resources. The example system may then determine and subsequently validate a first authentication channel to be used to verify user identity. The example system may check if the user possesses an NFT for the first authentication channel, retrieves relevant authentication channel descriptors, and compares the authentication channel information with the authentication channel descriptors to determine a match. If the channel is deemed valid, the example system may initialize verification of the user identity via the first authentication channel.

Abstract: A pulse width modulator circuit with circuitry for providing a first and second pulse width modulation signal with dead time periods between the first and second pulse width modulation signals, an input for receiving a signal representative of a current in a load adapted to be driven in response to the first and second pulse width modulation signals, and circuitry coupled to the input for adjusting the dead time periods in response to the signal representative of a current.

Abstract: A process integration and patterning flow used to pattern a memory array area for an embedded memory without perturbing a fabricating process for logic circuitries. The fabrication process uses a pocket mask (e.g., a hard mask) to decouple the etching process of a memory array area and non-memory area. Such decoupling allows for a simpler fabrication process with little to no impact on the current fabrication process. The fabrication process may use multiple pocket masks to decouple the etching process of the memory array area and the non-memory area. This fabrication process (using multiple pocket masks) allows to avoid exposure of memory material into a second pocket etch chamber. The process of etching memory material is decoupled from the process of etching an encapsulation material. Examples of embedded memory include dynamic random-access memory and ferroelectric random-access memory.

Abstract: A custom system data stream stitches together aspects of data streams from source systems. In one implementation, an analytics circuit extracts from a first data stream received from a system quality assurance (QA) management system, test case data. The analytics circuit parses metadata, such as a user story identifier, from the test case data. Based on the metadata, the analytics circuit parses, from a second data stream received from a system development lifecycle (SDLC) management computing system, SDLC item data, such as a project identifier. Based on the SDLC item data, the analytics circuit determines at least one impacted computer application. The custom system data stream is bound to a graphical user interface. In some implementations, the interface includes a plurality of side-by-side smart dials.

Abstract: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the strain of coronavirus that causes coronavirus disease 2019 (COVID-19), the respiratory illness responsible for the COVID-19 pandemic. Antibodies produced from an immune response against SARS-CoV-2 are used to analyze prior exposure to the virus. The present invention provides methods for detecting antibodies in response to SARS-CoV-2 infection in a single multiplex immunoassay.

Abstract: Event-based connected vehicle control and response systems, methods, and apparatus are disclosed. An example method comprises identifying the occurrence of an event, storing first data corresponding to apparatus operation for a first threshold amount of time prior to the event, during the occurrence of the event, and for a second threshold amount of time after the event, determining whether a responsive object is involved in or near the event, in response to determining that the responsive object is involved in or near the event, transmitting the first data to the responsive object, and receiving, from the responsive object, second data, analyzing the first data and the second data to determine a party at-fault for the event, aggregating the first data and second data into an event report, and causing, automatically, a response to be initiated through an entity associated with the party at-fault.

Abstract: Embodiments of the present disclosure include multiple DC-DC converters configured to generate multiple voltages based on one or more voltage sources. The DC-DC converters are configured to produce a first voltage and second voltage when a first power source is active, when a second power source is active, or when both the first and second power sources are active. In example embodiments, one voltage is used by a network device to power internal circuitry, and another voltage is coupled to tethered devices.

Abstract: An apparatus is provided for completing a blind mate hydraulic connection. A device is equipped at the rear of the device with a shell holding a manifold connected internally to the device cooling system. Clearances between the shell and manifold allow the manifold to rotate in two axes to adapt to a misalignment between the manifold and a rack cooling system. The device is further provided with a cam-handle attached to the front that provides leverage against the rack for overcoming the connection forces of the blind mate. The manifold and cam-handle combine to facilitate disconnecting the device from the rack cooling system from the front of the rack and servicing the device.

Abstract: A system is comprised of one or more processors coupled to memory. The one or more processors are configured to receive image data based on an image captured using a camera of a vehicle and to utilize the image data as a basis of an input to a trained machine learning model to at least in part identify a distance of an object from the vehicle. The trained machine learning model has been trained using a training image and a correlated output of an emitting distance sensor.

Abstract: Devices, systems, and methods are provided for generating and selecting video clips for inclusion in video sequences based on still frame images. A method may include encoding first embeddings for a first video including first images of an item at a first scene, the first embeddings indicative of features of the first scene; encoding second embeddings for a second video including second images of the item at a second scene, the second embeddings indicative of features of the second scene; encoding third embeddings for the first video, the third embeddings indicative of features of a first type of camera shot used for the first images; encoding fourth embeddings for the second video, the fourth embeddings indicative of features of a second type of camera shot used for the second images; and generating, based on the first, second, third, and fourth embeddings, a video sequence for the item.

Abstract: Some embodiments of the present disclosure may relate generally to software-based service platforms and graphical user interface (GUI) architectures for determining and presenting rule-based conclusions, along with explanations identifying the factor or factors influencing the conclusions. Other embodiments may be disclosed and/or claimed.

Abstract: A method for constructing Polarization Assisted Convolutional (PAC) codes, the method including passing a codeword through a noisy channel to obtain a first bit and a noise value, determining whether the first bit is an information bit or a non-information bit based on the noise value by decoding the codeword to obtain a decoded codeword, selecting at least one of a reward or a penalty for the first bit based on the decoded codeword, the reward being set based on a probability of decoding, and the selecting selects the penalty for the first bit in response to determining the first bit is incorrectly decoded, and iterating the passing, the determining and the selecting according to Q-values for each state among a plurality of states, at least one of the Q-values corresponding to the first bit.

Abstract: Asset error remediation is provided. Risk and classification of an asset error are analyzed to prioritize asset error remediation for an asset based on risk criticality, risk context, and vulnerability level corresponding to the asset by detecting suspicious behavior and risk exposure to the asset in a heterogeneous distributed computing environment using artificial intelligence. A priority of the asset error remediation is determined to fix the asset within the heterogeneous distributed computing environment based on the risk and the classification of the asset error. A set of action steps is performed to fix the asset within the heterogeneous distributed computing environment based on the priority of the asset error remediation.

Abstract: Aspects of the disclosure relate to authentication. A computing platform may send, to a wearable device, an internet of things (IoT) vector key. The computing platform may receive an application access request from the wearable device, which may include authentication credentials. The computing platform may send, to the wearable device, a reference key comprising a sequence of row-column combinations corresponding to the IoT vector key, and the wearable device may be configured to identify a hash salt value using the reference key and the IoT. The computing platform may receive, from the wearable device, the hash salt value. The computing platform may generate, based on the hash salt value and the authentication credentials, a password. The computing platform may hash the password to produce a password hash, and may send the password hash to an application server for validation.