Abstract: The exemplary embodiments disclose a method, a computer program product, and a computer system for determining that one or more model pipelines satisfy one or more constraints. The exemplary embodiments may include detecting a user uploading data, one or more constraints, and one or more model pipelines, collecting the data, the one or more constraints, and the one or more model pipelines, and determining that one or more of the model pipelines satisfies all of the one or more constraints based on applying one or more algorithms to the collected data, constraints, and model pipelines.

Abstract: Some methods may involve receiving fingerprint image data and a first set of background image data from a fingerprint sensor and determining first processed fingerprint image data via a subtraction of the first set of background image data from the fingerprint image data. Some methods may involve obtaining force data corresponding to a force applied to the fingerprint sensor when the fingerprint image data were obtained. Some methods may involve obtaining a second set of background image data corresponding to the force data. Some methods may involve determining second processed fingerprint image data based, at least in part, on the first processed fingerprint image data and the second set of background image data, and outputting the second processed fingerprint image data. In some examples, determining the second processed fingerprint image data may involve a machine learning model. Some examples may involve estimating residual noise based on the force data.

Abstract: A system, method, and computer-readable medium for performing a data center monitoring and management operation, The data center monitoring and management operation includes receiving data center asset data for a plurality of data center assets, the data center asset data comprising data center asset fan associated data; providing the data center asset fan associated data to a fan failure prediction model; and, training the fan failure prediction model using the data center asset fan associated data.

Abstract: A 3D semiconductor device, the device including: a first level including a first single crystal layer and including first transistors which each includes a single crystal channel; a first metal layer; a second metal layer overlaying the first metal layer; a second level including second transistors, first memory cells including at least one second transistor, and overlaying the second metal layer; a third level including third transistors and overlaying the second level; a fourth level including fourth transistors, second memory cells including at least one fourth transistor, and overlaying the third level, where at least one of the second transistors includes a metal gate, where the first level includes memory control circuits which control writing to the second memory cells, and at least one Phase-Lock-Loop (“PLL”) circuit or at least one Digital-Lock-Loop (“DLL”) circuit.

Abstract: Methods, apparatus, systems, and articles of manufacture to load data into an accelerator are disclosed. An example apparatus includes data provider circuitry to load a first section and an additional amount of compressed machine learning parameter data into a processor engine. Processor engine circuitry executes a machine learning operation using the first section of compressed machine learning parameter data. A compressed local data re-user circuitry determines if a second section is present in the additional amount of compressed machine learning parameter data. The processor engine circuitry executes a machine learning operation using the second section when the second section is present in the additional amount of compressed machine learning parameter data.

Abstract: A method of manufacturing a semiconductor power device is provided. The method includes forming at least two trench regions within a semiconductor region, etching each trench region so that the mesa region extends above an upper surface of each trench region, and forming a plurality of spacers, where the spacers are located over each trench region and are adjacent to the mesa region.

Abstract: A method, computing system, and computer-program product for robust optimization of charging of a plurality of electric vehicles scheduled for charging at a charging station is provided. The charging station includes a plurality of chargers. In an embodiment, the method includes obtaining vehicle data and station data. Based thereon, it is determined if a set of EVs from amongst the plurality of EVs has failed to achieve a pre-defined target SoC, after a pre-defined charging duration. If the set of EVs has failed to achieve the pre-defined target SoC, a target power is computed. Further, the method includes adjusting at least one of the maximum power of each charger associated with charging of each EV from the set of EVs and the maximum power of the set of EVs as per the target power, to reach the target SoC of the set of EVs.

Abstract: Systems and methods for processing an electronic communication. The method may include receiving an electronic message including a first location indicator of a network resource, wherein the first location indicator has a first length and includes an identifier of a recipient of the electronic message, wherein the identifier indicates an action allowed to be performed by the recipient, and transforming the first location indicator into a second location indicator of the network resource, wherein the second location indicator has a second length that is less than the first length. The method may further include storing the first location indicator in a network accessible storage location and forwarding the second location indicator of the resource to a recipient to allow the recipient to automatically access the network resource and perform the allowed action upon providing an input with respect to the second location indicator.

Abstract: A system, method, and computer-readable medium for performing a data center monitoring and management operation, The data center monitoring and management operation includes receiving data center asset data for a plurality of data center assets, the data center asset data comprising a data center asset telemetry dataset; storing the data center asset telemetry dataset in a telemetry dataset array, the telemetry dataset array comprising a plurality of telemetry dataset array rows; generating a dimensionally reduced telemetry dataset from the telemetry dataset array, the dimensionally reduced telemetry dataset having fewer rows than the telemetry dataset array; and, training a machine learning model using the dimensionally reduced telemetry dataset.

Abstract: An embodiment establishes a unified conferencing protocol (UCP). The embodiment establishes a UCP mediator wherein the UCP mediator is configured to establish a connection between two or more video conferencing platforms. The embodiment receives, via the UCP mediator, a request to communicate with a first video conferencing platform from a second video conferencing platform. The embodiment approves, via the UCP mediator, the request to communicate with the first video conferencing platform from the second video conferencing platform. The embodiment establishes a connection between the first video conferencing platform and the second video conferencing platform.

Abstract: This disclosure details a base station and client devices using dynamic spectrum access for communication within a frequency spectrum by selecting channels dynamically for efficient communication. This includes identifying active uplink and downlink channels from an available list and allocating them to multiple client devices based on their locations, with some devices sharing common active channels. A downlink channel is designated as a beaconing channel, used for beaconing with embedded information, including the coordinates of a region among a plurality of regions, available channels for the region, and a buffer slot in the channels, during a beaconing period occurring outside regular transmission times. Acknowledgments with medium access control (MAC) commands for an identified subset of client devices sharing an active channel are grouped and transmitted, with each message in the plurality of messages on the uplink channels followed by a downlink acknowledgment.

Abstract: A system, apparatuses, and methods are disclosed that provide pump interconnectivity for pain medication therapies. In an example embodiment, a system includes a patient-controlled analgesia (“PCA”) pump, an infusion pump, and a hub device configured to connect to the PCA pump and the infusion pump. The hub device is configured to determine the PCA pump and the infusion pump are both communicatively connected to the hub device, enable the PCA pump and the infusion pump to communicate with each other for a pain medication therapy, and enable the infusion pump to deliver the fluid to the patient when the infusion pump detects a period between periodic PCA pump boluses.

Abstract: Systems and methods for a medical device are disclosed. For example, the medical device may include a frame configured to transition from a contracted configuration to an expanded configuration, and a cover disposed on the frame. The cover may include a plurality of projections extending radially outward from an outer surface of the cover.

Abstract: One or more computing devices, systems, and/or methods for implementing dynamic quality of service for devices are provided. Generating a classification associated with a device, connected to the wireless network through a router. Service details for the device are stored, and correspond to expected wireless network quality of service that is to be provided by the wireless network to the device and corresponds to the classification (e.g., device classification, application classification, and experience mode classification), and/or other factors such as time and location. A current wireless network quality of service obtained from the device is compared with the service details to identify a delta. Wireless network quality of service for the device is modified based upon the delta. In this way, network side modifications and/or WiFi router side modifications may be performed.

Abstract: An exemplary embodiment of the present disclosure provides a current source converter, comprising a transformer, a first circuit, and a second circuit. The transformer can comprise a first winding, a second winding, and a third winding. The first circuit can be electrically coupled to the first and second windings. The first circuit can comprise a battery port and a photovoltaic (PV) port. The battery port can be configured to interface with one or more batteries. The PV port can be configured to interface with one or more PV modules. The second circuit can be electrically coupled to the third winding. The second circuit can comprise an alternating current (AC) port configured to interface with an AC load.

Abstract: A method of removing an organic micropollutant from a treatment solution including passing the treatment solution through a membrane, and collecting a filtered solution. The filtered solution contains at least 50% less of the organic micropollutant than the treatment solution. The membrane includes a polysulfone support and an active layer containing zinc oxide (ZnO) nanoparticles.

Abstract: The systems and methods disclosed herein receives artifacts generated using a first set of models within a multi-model superstructure. The multi-model superstructure includes a second set of models to test the first set of models. The multi-model superstructure dynamically routes the artifacts of the first set of models to one or more models of the second set of models by (i) determining a set of dimensions of the artifacts against which to evaluate the artifacts and (ii) identifying the models in the second set used to test the particular dimension. The second set of models then assesses each artifact against a set of assessment metrics. If an artifact fails to meet one or more assessment metrics, the second set of models generates actions to align the artifact with the set of assessment metrics.

Abstract: A data communication system determines a combination of communication slices for a user communication device. The data communication system selects a scheduling priority for the user communication device based on the combination of the communication slices. The data communication system schedules data transfers for the user communication device based on the selected scheduling priority. The data communication system wirelessly transfers user data for the user communication device based on the scheduling of the data transfers.

Abstract: A power semiconductor device and a method of manufacturing a power semiconductor device is provided, including a shield gate trench (SGT) metal-oxide semiconductor field-effect transistor (MOSFET). The present disclosure provides for a MOSFET with a reduced charge between the gate conductive region and the drain or collector region, in order to improve the switching efficiency of the MOSFET.

Abstract: Techniques are disclosed for processing data packets and implementing policies in a software defined network (SDN) of a virtual computing environment. A plurality of computing nodes are communicatively coupled to network devices. The computing nodes are configured to provide at least one cloud edge processing function. The network devices are configured to enable communications between virtual machines within a virtual network of the virtual computing environment in accordance with associated policies. The network devices and the processing function are disaggregated from dependencies on particular computing nodes that are hosting the virtual machines.