Abstract: Wirelessly charging a vehicle battery may be performed using a plurality of charging coils. In some examples, the offboard coils and the onboard coils may be spaced apart by different amounts, such that, when the vehicle is positioned in a vehicle charging space, at least one pair of an onboard coil and an offboard coil may still be substantially aligned for wireless charging, even when other coils are misaligned. In some examples, the offboard coils may include sizes that are conducive to charge smaller capacity systems in some arrangements and are combinable to charge larger capacity systems in other arrangements. In addition, the use of relatively small coils may allow for flexibility in thermal management.

Abstract: Systems for contactless authentication and event processing are provided. In some examples, a user may request processing of an event. The user may provide user identifying or event identifying information that may be transmitted to contactless processing computing platform. Based on the user identifying information, additional user data may be retrieved. An interactive authentication request may be generated and transmitted to the user computing device. The interactive authentication request may include a request for one or more types of authentication data. The user may input authentication response data into the user computing device, which may then be transmitted to the contactless processing computing platform for evaluation. The authentication response data may be evaluated to determine whether it includes a trigger, whether it matches pre-stored authentication data, and the like. In response, one or more authentication outputs may be generated and/or the requested event may be processed or denied.

Abstract: A novel method of making a 3D-shaped 3D graphene (3D2G) is disclosed. The method involves a) 3D printing a catalyst slurry via Direct Ink Writing (DIW); b) depositing the printed slurry using chemical vapor deposition (CVD) to produce a nickel-graphene composite; and c) etching the nickel-graphene composite. The resulting composite is a porous, binder-free structure of pure 3D2G. In one embodiment, the catalyst slurry comprises nickel particles mixed with an organic solvent, a polymer, and a plasticizer. In another embodiment, the organic solvent is dichloromethane, the polymer is poly lactic-co-glycolic acid and the plasticizer is dibutyl phthalate.

Abstract: A system includes a subsystem, a database, a memory, and a processor. The subsystem includes a computational resource associated with a resource usage and having a capacity corresponding to a maximum resource usage value. The database stores training data that includes historical resource usages and historical events. The memory stores a machine learning algorithm that is trained, based on the training data, to predict, based on the occurrence of an event, that a future value of the resource usage at a future time will be greater than the maximum value. The processor detects that the event has occurred. In response, the processor applies the machine learning algorithm to predict that the future value of the resource usage will be greater than the maximum value. Prior to the future time, the processor increases the capacity of the computational resource to accommodate the future value of the resource usage.

Abstract: A method and a system for obtaining conditional demographic parity in the construction of a data-driven model are provided. The method includes: identifying features associated with the model; determining a first joint distribution of model outputs and a feature based on a first level of a particular one of the features and a second joint distribution of model outputs and a feature based on a second level of the particular feature; computing a bi-causal transport distance between the first joint distribution and the second joint distribution; computing a regularizer based on the bi-causal transport distance; and applying the regularizer to the model.

Abstract: Techniques for converting power received from a power grid at a first voltage and outputting a signal at a second voltage are discussed herein. A power converter with a transformer that has a 22.5 degrees phase shift between current output by corresponding pairs of secondary windings can be utilized to convert power of a first level to power of a second level. The transformer can output power from 30 secondary windings. The power converter can output power with a total harmonic distortion of 5% and an efficiency of 96% or higher. Further, power can be output by a transmission coil and received by a receive coil in a device, such as a vehicle, to wirelessly charge the vehicle.

Abstract: The present disclosure relates to field of Dual In-Line Memory Modules that discloses method and system for generating memory maps. The method comprises detecting, by computing system, at least one of DIMM and one or more Dynamic Random Access Memory (DRAM) chips associated with computing system. The one or more accelerators are configured in at least one of DIMM and one or more DRAM chips. Further, the method includes determining accelerator information for each of one or more accelerators via at least one of Serial Presence Detect (SPD) and Multi-Purpose Register (MPR) associated with at least one of DIMM and one or more DRAM chips. Method includes generating unique memory map for each of one or more accelerators based on accelerator information of corresponding one or more accelerators. As a result, performance of computing system may be improved as accelerator capabilities of one or more accelerators are effectively utilized.

Abstract: The present teaching relates to ensemble model based time series forecasting. Characteristics of historic time series data from a resource provider are used to select base forecast models. An ensemble forecast model is generated from the base forecast models using a set of parameters determined based on costs associated with respective base forecast models. The ensemble forecast model is used to forecast a resource need for the resource provider and the resource usage data at the resource provider is collected and added to the historic time series data.

Abstract: Systems and methods for generation of a synthetic dataset that simultaneously represents the original data and preserves privacy are provided. The objective of answering statistical queries in a differentially-private manner is addressed by providing data-independent and data-dependent algorithms based on space partitioning for differentially private dataset release. These algorithms are intuitive and transparent, resulting in theoretical results on the utility-privacy tradeoffs where utility is measured with respect to kernel density preservation. The data-dependent approach overcomes the curse of dimensionality and leads to a scalable algorithm.

Abstract: The present disclosure relates to ocular mucoadhesive pharmaceutical compositions comprising fluoroquinolone antibiotic, chitosan, polyvinyl alcohol and polyvinylpyrrolidone, their uses and methods of using such compositions.

Abstract: A system and method for determining and managing interactions between application sub-systems. The method includes receiving plan identification information from a source application sub-system. One or more rule sets are applied to the plan identification information to determine: source and destination application sub-systems, a set of intermediate application sub-systems, and a sequence of connections determining a connection path from the source application sub-system to the destination application sub-system via the set of intermediate application sub-systems. A sequence of instructions is generated based on one or more of the source application sub-system, the destination application sub-system, the set of intermediate application sub-systems, and the sequence of connections.

Abstract: Provided are methods for reducing the size of a communication between applications in a network. Methods may include receiving, at a computer processor running on a central server, a plurality of values and a plurality of keys from application A, each value paired with a respective key, and storing the values and keys on the central server. A first communication may be transmitted from application A to application B. A second communication may be transmitted from application B to application C, where applications A, B and C are running on the network. Each communication may contain one or more keys and are smaller than if they had contained corresponding values for the keys registered to application A. The computer processor may provide to applications B and C the values to the keys in the first and second communication, respectively, for example, when rendering data to a user interface.

Abstract: Systems, computer program products, and methods are described herein for a cloud-based virtual private secured contained communication portal. The present disclosure is configured to receive a request from a user device to connect to one or more entity representatives; analyze the request to determine a device identifier and customer identification number; access an entity database and retrieve resource transfer history data and resource account data for the customer identification number; generate, near-real-time, a virtual private network (VPN) configuration for the user device; and generate a secure application programming interface (API) call from the user device to one or more entity cloud services based on information contained in the request to form an operable connection between the user device and the one or more entity representatives.

Abstract: Described are a system, method, and computer program product for accelerated database queries using aggregation definitions. The method includes receiving a first set of database queries and parsing each query to produce a plurality of query parameters. The method also includes determining a plurality of frequencies based on a frequency of each query parameter occurring in the first set of database queries. The method further includes generating a plurality of aggregation definitions based on the plurality of query parameters and the plurality of frequencies. The method further includes determining a candidate set of aggregation definitions from the plurality of aggregation definitions, based on a number of queries that would be at least partially satisfied by each aggregation definition of the plurality of aggregation definitions. The method further includes generating an aggregated dataset based on the candidate set of aggregation definitions and performing a database query using the aggregated dataset.

Abstract: A system for extracting and providing information from a source document includes a memory and a processor. The memory stores data associated with the source document. The processor is configured to classify the source document as a determined document type from a plurality of document types. The processor extracts data from the source document based at least in part upon the determined document type and store that extracted data as a first extracted data in the memory. When a request for information is received, the processor then determines if the first extracted data includes all the requested information and if it does not, the processor extracts second extracted data from the image file and stores the second extracted data along with the first extracted data and the image file in the memory. The requested information is then provided to the requesting process from the first and second extracted data.

Abstract: Embodiments of the present disclosure provide energy efficient data transmission operations which may be configured to selectively energize some of a plurality of links within a given data transmission channel based at least in part on a detected amount of traffic or a predicted amount of traffic while ensuring that data is delivered in an orderly and energy-efficient manner.

Abstract: Systems and techniques are provided for wireless communications. For example, a network device can receive an unprotected management frame indicative of a disconnection of the network device. The unprotected management frame includes an address indicative of an identified wireless access point (AP) associated with the disconnection. The network device can determine a transmitter signature associated with the unprotected management frame. The network device can determine a difference between the transmitter signature and a corresponding transmitter signature associated with a protected data frame received from the identified wireless AP. The network device can further determine, based on the difference being greater than a threshold, the unprotected management frame is not transmitted by the identified wireless AP.

Abstract: The technology described herein is directed towards supporting remote management of machine learning models hosted by network functions in advanced communication networks. Remote management can include model training on more powerful remote machines, along with model selection based on target performance data. A model host (a network function) sends capability data comprising metadata of a local machine learning model to an operator, followed by remote configuration by the operator to enhance the inference accuracy and speed at the network function hosting the model. A model host can retrain a model based on local data, and request remote training if the retrained model does not meet performance criteria. Alternatively, a model host can select a model from a group of models, and request a new model if no selected model of the group meets performance criteria.

Abstract: A system for real-time determination of calibration of an inertial measurement unit includes an inertial measurement unit and a processor in electronic communication with the inertial measurement unit. A road mapping module receives a vehicle latitude and a vehicle longitude, and determines a virtual heading angle of a vehicle. A virtual acceleration module receives the virtual heading angle of the vehicle, and a measured vehicle speed and heading angle, and estimates a virtual lateral acceleration and a virtual longitudinal acceleration. A correlation module receives the virtual lateral acceleration, the virtual longitudinal acceleration, a calibrated measured lateral acceleration, and a calibrated measured longitudinal acceleration. The correlation module determines a correlation between the virtual lateral acceleration and the calibrated measured lateral acceleration, and between the virtual longitudinal acceleration and the calibrated measured longitudinal acceleration.

Abstract: Aspects of the disclosure relate to an NFT segmentation platform. The NFT segmentation platform may train an auto-segmentation model to generate tier scores corresponding to non-fungible tokens (NFTs). The NFT segmentation platform may compare the tier scores to tier thresholds defining threshold ranges. The NFT segmentation platform may automatically store the NFTs based on storage rules corresponding to the threshold ranges. The NFT segmentation platform may modify the storage location of the NFT based on changes in the tier score. The NFT segmentation platform may train an NFT validation model to generate NFT validation ratings for NFTs. The NFT segmentation platform may compare the NFT validation ratings to threshold values to determine whether or not to execute an event processing request. The NFT segmentation platform may create an iterative feedback loops to update the auto-segmentation model and the NFT validation model.