Abstract: The present invention relates to the field of electrolyte design. Existing methods focus on optimizing the electrolyte composition on a stand-alone basis with respect to its properties and validating battery performance experimentally which is a time-consuming process. Thus, embodiments of present disclosure provide an automated method and system for identifying electrolyte composition for optimal battery performance. The system receives certain input parameters and computes transport properties using the input. Then, a feasible electrolyte composition is identified from a material database based on deviation index metric. The identified electrolyte composition is then optimized based on the input by considering the deviation index and battery performance metrics such as capacity fade and internal heat generation.

Abstract: A merchant page in a browser may receive selection of a first financial institution. The merchant page may generate a uniform resource identifier (URI) directed to an application. At least a portion of the URI may be registered with the application and the first financial institution in a mobile operating system. Responsive to receiving selection of the URI, the mobile OS may launch the application, which may authenticate credentials for an account. The application may associate the user ID parameter and the session ID parameter with the account and receive a cryptogram from a contactless card. The application may receive, from a server, an indication specifying the server verified the cryptogram. The OS may launch the browser, which may refresh the page. The refreshed page may include a virtual card number (VCN) in a first form field. A transaction may be processed based on the VCN.

Abstract: Examples are described that enable a sales notification application executing on the mobile device to provide an indication of a better price for a product. In the examples, product information may be obtained from product purchase receipts uploaded by mobile devices executing an instance of a sales notification application. Similarities may be determined between the product information received from each product purchase of the plurality of product purchases. The product information from each of the uploaded receipts may be aggregated based on the determined similarity between the product information. A selected product and a location at which the selected product has been purchased previously may be received for comparison to the aggregated information in a product purchase database. A comparison result may be output to the sales notification application. A payment card may be enabled to purchase the selected product.

Abstract: Heterogeneous cloud storage services offered by different cloud service providers have unique deliverable performance. One key challenge is to find the maximum achievable data transfer rate from one cloud service to another. The disclosure herein generally relates to cloud computing, and, more particularly, to a method and system for parameter tuning in cloud network. The system obtains optimum value of parameters of a source cloud and a destination cloud in a cloud pair, by performing a parameter tuning. The optimum value of parameters and corresponding data transfer rate is used as a training data to generate a data model. The data model processes real-time information with respect to cloud pairs, and predicts corresponding data transfer rate.

Abstract: Disclosed are powered gait assistance systems that include a controller, sensors, and a torque applicator (motor, spring, etc.) coupled to a patient's hips, thighs, knee, lower leg, ankle, and/or foot and operable to apply assistive torque to the patient's leg joint(s) to assist the patient's volitional joint actuating muscle output during selected stages of the patient's gait cycle, such that the applied torque improves the patient's leg posture, muscle output, range of motion, and/or other parameters over the gait cycle. The sensors can include a torque sensor that measures torque applied, one or more joint angle sensors, a ground contact sensor that measures ground contact of the patient's foot, and/or other sensors. The controller can determine what stage of the patient's gait cycle the patient's leg is in based on sensor signals and cause the torque applicator to apply corresponding torque to the joint(s) based on the gait cycle stage, sensor inputs, and known patient characteristics.

Abstract: An electric submersible pump (ESP) including: a switched reluctance motor (SRM) including stator coils. The number of the stator coils is a multiple of three, surface electronics that drive the SRM, a cable that connects the SRM to the surface electronics. The cable includes conductors in a number equal to the number of the stator coils, each cable includes a push-pull driver that connects the cable to a ground, a DC voltage different from the ground, or disconnects the cable.

Abstract: Systems and methods are provided for displaying account information. The systems and methods may include a portable smart display device in short-range communication with a mobile device. The smart display device may be configured to provide a user with quick and easy yet secure access to account information, without the need for multi-step login and verification processes. The smart display device may be sized to fit within a wallet and within quick, easy reach of a user. The smart display device may receive up-to-date account information from the mobile device, and display the account information on-demand upon detecting an activation event, thereby providing an enjoyable user experience and a useful tool for quickly informing the user of their financial situation.

Abstract: A method includes generating a first vector associated with a token using a first set of parameters of a first learning model based on the token, determining a prediction indicating that the token is associated with a first label based on a set of clustering criteria, the first vector, vectors of a first vector set, and vectors of a second vector. The method includes generating a perturbed vector associated with a second label by modifying a value of the first vector and updating the second vector set to comprise the perturbed vector. The method also includes generating a synthesized token associated with the second vector set based on the perturbed vector using a second set of parameters of the first learning model and training a second learning model based on the synthesized token.

Abstract: A method of stimulating a subterranean carbonate formation includes delivering a composition comprising a hydrophobically modified polymer, a phosphorylated alkyl amino polycarboxylic acid, and a base treatment acid into the subterranean formation; and contacting the subterranean carbonate formation with the composition to form conductive flowpaths in the subterranean carbonate formation. The method may further include producing hydrocarbons from the subterranean carbonate formation. A composition for stimulating a subterranean formation includes a hydrophobically modified polymer; a phosphorylated alkyl amino polycarboxylic acid; and a base treatment acid.

Abstract: Disclosed herein is a method for communicating between platforms, comprising the steps of initializing a first platform and a second platform; optically tracking a movement of the second platform by the first platform; and optically communicating bi-directionally between the first platform and the second platform. Disclosed herein is an optical communication device comprising various elements including but not limited to: a processor configured to provide at least a tracking mode and a communications mode; an input-output interface coupled to the processor; an electro-optic controller coupled to the input-output interface; an acquisition-tracking portion coupled to the electro-optic controller; and a communication portion coupled to the electro-optic controller.

Abstract: The exemplary embodiments may provide a stacked machine learning model ensemble pipeline architecture selector that selects a well-suited stacked machine learning model ensemble pipeline architecture for a specified configuration input and a target data set. The stacked machine learning model ensemble pipeline architecture selector may generate and score possible stacked machine learning model ensemble pipeline architectures to locate one that is well-suited for the target data set and the conforms with the configuration input. The stacked machine learning model ensemble pipeline architecture selector may use genetic programming to generate successive generations of possible stacked ensemble pipeline architectures and to score those architectures to determine how well-suited they are. In this manner, the stacked machine learning model ensemble pipeline architecture selector may converge on an architecture that is well-suited, for example, that meet one or more scores, evaluation metrics, and/or the like.

Abstract: Aspects of the subject technology relate to systems, methods, and computer-readable media for accounting for artifacts in pipe measurements made by an electromagnetic pipe inspection tool. Measurements gathered in a plurality of pipes across different depth points are accessed. Initial estimates of an attribute associated with the plurality of pipes are made for each pipe and a total estimate of the attribute for the plurality of pipes as a whole are made across the different depth points. Corresponding initial estimates of the attribute for each pipe are filtered to remove an artifact present in at least one of the corresponding initial estimates while the total estimate is preserved. Corresponding final estimates of the attribute for each pipe are determined based on both the measurements and corresponding filtered initial estimates of the attribute for each pipe. Integrity of each pipe can be determined based on the corresponding final estimates of the attribute.

Abstract: A system for hydraulically fracturing an underground formation in an oil or gas well, including a pump for pumping hydraulic fracturing fluid into the wellbore, the pump having a pump shaft, and an electric motor with a motor shaft mechanically attached to the pump to drive the pump. The system further includes a torsional coupling connecting the motor shaft to the pump shaft. The torsional coupling includes a motor component fixedly attached to the motor shaft and having motor coupling claws extending outwardly away from the motor shaft, and a pump component fixedly attached to the pump shaft of the pump and having pump coupling claws extending outwardly away from the pump shaft. The motor coupling claws engage with the pump coupling claws so that when the motor shaft and motor component rotate, such rotation causes the pump component and the pump shaft to rotate, thereby driving the pump.

Abstract: Machine learning techniques are disclosed for predicting a task event such as a service completion event based on a predefined workflow. In one aspect a method includes obtaining initial data for a service request (e.g., an account application), enriching the initial data with data from one or more repositories of an enterprise executing the service request, generating a data structure comprising independent variables extracted from the enriched data, receiving a request for a prediction of a completion time for the service request (e.g., an account opening event) at a first time during processing of the service request in accordance with each workflow, in response to receiving the request for the prediction, inputting the data structure into a machine-learning regression model, predicting, using the machine-learning regression model, a completion time for the service request, and providing the completion time for the service request.

Abstract: This disclosure relates generally to optimal intraday scheduling of aggregated Distributed Energy Resources (DERs). Owing to their stochastic nature, DERs aggregators are more suited to participate in intraday electricity markets. The current works on DER aggregators trading in intraday markets do not satisfactorily model the different aspects. The disclosure is an optimal trading strategy for aggregators managing heterogeneous DERs to participate in intraday markets. The intraday market is modelled using a joint price-volume dynamics distribution and an optimal bidding strategy is disclosed for the trades/bids placed earlier to be corrected based on the revised forecasts of demand and generation while allowing for energy exchanges within the DER pool. Further the optimal bidding strategy of aggregators in an intraday market is a MINLP problem, which is solved by converting the complex non-linearities in the problem into a coupled MILP—simple maximization set-up, which is then solved in an iterative fashion.

Abstract: An electrically heated aerosol-generating device is configured for use with a consumable cartridge including a storage portion containing an aerosol-forming substrate and having a fluid permeable internal surface surrounding an open-ended passage extending through the cartridge. The device includes a housing having a cavity for receiving the cartridge and a heater assembly positioned in the cavity. The heater assembly includes an electrically conductive hollow shaft portion connected to the housing and an electric heater positioned along the hollow shaft portion and having at least one heating element for heating the aerosol-forming substrate. The hollow shaft portion defines an airflow passage forming part of an airflow pathway through the device and is arranged to extend into the open-ended passage of the cartridge. The hollow shaft portion comprises a plurality of apertures, and the heating element is one or more narrow regions of the hollow shaft portion between adjacent apertures.

Abstract: Systems and methods for securely generating and printing documents are disclosed. For example, processor(s) of a computer system may receive information for the document from a computing device through a network, verify the information for the document, and upon verification, generate document generation data using at least a portion of the information for the document. The document generation data may include document metadata that enables generation of an image of the document and/or the image of the document. Upon the processor(s) verifying first authentication information of a first code associated with a printing device received from the computing device through the network and second authentication information of a second code associated with the computing device received from the printing device through the network, the processor(s) may transmit the document generation data to the printing device through the network, and cause the printing device to print the image of the document.

Abstract: State of the art approaches of exception management are reactive, manual, and intuition-driven. Command center teams often react to exceptions. They also use BI tools which only provide statistical observation, but fail to mine domain-aware insights and actionable recommendations. The disclosure herein generally relates to analyzing process exceptions, and, more particularly, to a method and system for generating a data model to analyze and predict process exceptions. The system generates a data model by using information on rules, associated properties and exceptions, as training data. The data model is further used to process information on different rules to identify exceptions, and then to generate recommendations in response to identified exceptions.

Abstract: Systems and methods are disclosed for assisting users in assessing costs of transactions. For instance, method may include: determining a cost value of at least one transaction associated with a user; classifying the user into a category, based on consumer interest characteristics of the user and consumer interest characteristics associated with the category; determining a relatable product based on the consumer interest characteristics associated with the category, the relatable product being a product purchased by a plurality of persons classified in the category; determining a relatable cost value, the relatable cost value being a representation of the cost value of the at least one transaction using a quantity of the respective relatable product; and presenting the relatable cost value to the user.

Abstract: Techniques and systems to perform authentication utilizing a mini-application.