Abstract: Systems for performing instant optical character recognition (OCR) of documents to be uploaded to a server process for allowing mid-stream adjustments during the document upload process. are disclosed. A system may include a mobile device with a document upload application and a backend system to which a document is to be uploaded. The backend system may initiate the OCR process automatically upon receiving images of documents to be uploaded and provide options to the document upload application for managing the upload process based on the results of the OCR process.

Abstract: Disclosed herein are method, computer program product, and system embodiments for real-time loyalty rewards redemption. A user may earn rewards in a rewards system that have an equivalent value to a digital asset such as a cryptocurrency asset (e.g., Bitcoin, Ethereum, etc.), crypto tokens (e.g., ERC-20, Dogecoin, etc.), and/or the like. A user device (e.g., mobile device, smart device, etc.) may request to redeem the rewards value in the form of the digital asset, initiating transfer of the digital asset from an asset management system to a digital wallet of the user device. The transfer of the digital asset from the asset management system to the digital wallet of the user device happens in real-time. After the digital asset is transferred to the user device, it may be exchanged for monetary value via a third party redemption service or used as payment.

Abstract: A computer-implemented method/arrangement for rapidly assessing operable conditions of each constituent tool of a MWD tool string between two consecutive downhole runs of a drill string. The method includes filtering binary data downloaded from a recently pulled MWD tool string for data sets that each represent conditions indicative of the operational condition of each of the several tools of the MWD tool string. For each of the data sets, a processing algorithm is selected from a store of predetermined algorithms, based on characteristics of the respective data set. Each data set is substantially simultaneously processed with the algorithm selected for that data set. Based on respective tool-condition data output by each algorithm-processed data set, determining whether the tool that corresponds to the respective data set meets a predetermined operational capability requirement or threshold to be operated in a subsequent run downhole with the drill string.

Abstract: A computer-implemented method for automatically analyzing handwritten text to determine a mismatch between a purported writer and an actual writer is disclosed. The method comprises receiving two samples of digitized handwriting each allegedly created by one individual and received and entered into a digital system by another. The method further comprises performing a series of feature extractions to convert the samples into two vectors of extracted features; automatically clustering a set of vectors such that the first vector and the second vector are assigned to the same cluster among multiple clusters, based on vector similarity; and automatically determining that a same individual being associated with both the first and second samples indicates a heightened probability that the individual fraudulently created both samples. Finally, the method comprises automatically transmitting a message to flag additional samples of digitized handwriting entered into a digital system as possibly fraudulent.

Abstract: Systems for performing signature-based techniques on document during a document upload process are disclosed. During the document upload process, a document upload application may determine whether signature is required on the document to be uploaded and whether the required signature is present on the document. Upon determining that a signature is required but is missing from the document, document upload application may retrieve and merge the required signature with the document as part of the document upload process.

Abstract: Systems and methods for developing temporal behavioral profiles are disclosed.

Abstract: A combination cremation urn and ornament comprises a base adapted to receive cremation ashes therein, an upstanding post mounted to an upper surface of said base and extending upwardly therefrom, and a decorative ornament that is three-dimensional an entire 360 degrees about a vertical axis of said decorative ornament, said decorative ornament having a hole extending upwardly from a bottom thereof into said decorative ornament, said post received in said hole as said decorative ornament is positioned on said base to secure said decorative ornament to said base.

Abstract: Methods and systems are described herein for improving anomaly detection in timeseries datasets. Different machine learning models may be trained to process specific types of timeseries data efficiently and accurately. Thus, selecting a proper machine learning model for identifying anomalies in a specific set of timeseries data may greatly improve accuracy and efficiency of anomaly detection. Another way to improve anomaly detection is to process a multitude of timeseries datasets for a time period (e.g., 90 days) to detect anomalies from those timeseries datasets and then correlate those detected anomalies by generating an anomaly timeseries dataset and identifying anomalies within the anomaly timeseries dataset. Yet another way to improve anomaly detection is to divide a dataset into multiple datasets based on a type of anomaly detection requested.

Abstract: Various embodiments are directed to applying, via contactless card authentication, one or more restrictions to a virtual card number and generating the card number for use by a recipient. The one or more restrictions may be specifically personalized to the recipient and may include, for example, a merchant restriction, an amount restriction, a time period restriction, or a location restriction. The generated virtual card number along with the applied one or more restrictions may be consumed in various ways, such as writing the number to a blank card, transmitting the number directly to the recipient's computing device, etc., all via near-field communication.

Abstract: Logic may assign a customer identification to a model to associate a first customer with the model to detect fraudulent transactions. Logic may determine one or more clusters to associate with the first customer based on characteristics associated with the first customer. Logic may associate one or more cluster identifications with the first customer. Each cluster identification may identify one cluster of the one or more clusters. Each cluster may identify a group of customers based on characteristics associated with the group of customers. Logic may cause the model to transmit to a customer device associated with the first customer. Logic may receive transaction data for a transaction for one customer of the group of customers associated with a first cluster. And logic may communicate modified transaction data to customer devices of more than one customer of the group of customers associated with the first cluster.

Abstract: State of the art mechanisms for edible food coating design have the disadvantage that they fail to accommodate various factors such as type of compounds, chemical composition, and processing parameters such as pH, drying rate, temperature affect the nano-microstructure of the film. The disclosure herein generally relates to edible food coating, and, more particularly, to a method and system for developing and characterizing edible films using molecular dynamic simulations. The molecular dynamic simulations help design the edible food coatings, which maybe further used for practical applications.

Abstract: Single-domain monoclonal antibodies that specifically bind Lassa virus glycoprotein (GPC) are described. The single-domain antibodies (“nanobodies”) were isolated from camel (VHH) and shark variable new antigen (VNAR) phage display libraries panned against a stabilized form of the GPC trimer. The GPC-specific nanobodies, and conjugates thereof, can be used for the diagnosis and treatment of a Lassa virus infection.

Abstract: Methods and systems for manipulating surface topology of additively manufactured fluid interacting structures, such as additively manufactured heat exchangers or airfoils, and associated additively manufactured articles, are disclosed. In one aspect, an article which interacts with a fluid is imparted with surface topology features which affect performance parameters related to the fluid flow. The topological features may be sequenced, combined, intermixed, and functionally varied in size and form to locally manipulate and co-optimize multiple performance parameters at each or selectable differential lengths along a flow path. The co-optimization method may uniquely prioritize selectable performance parameters at different points along the flow path to improve or enhance overall system performance.

Abstract: The disclosed embodiments include methods, systems, and articles of manufacture for enabling beta testing of new features within a native application. In one embodiment, a native application executed by a client device may include executable instructions that are activated and executed only upon indication of a user belonging to a beta test group. The client device may receive a signal from a service or content provider that includes test group information indicating whether a user is a member of a test group. The client device may process the received signal to determine whether the user is a member of a test group and, if so, activates and executes certain instructions received as part of the native application that define a user interface enabling access to additional functionality unavailable to a user determined not to be a member of a test group.

Abstract: A system and method for the application of friction-modifying coatings to roadways, walkways, and other areas subject to vehicular, human or animal traffic, the system and method comprising the controlled, simultaneous application of binder and filler to a surface of a substrate, using a mobile device which passes over the substrate as the binder and filler are being applied. The system includes a mobile platform configured for being coupled to a vehicle. A binder applicator is mounted on the mobile platform and coupled to a resin container. A plurality of openings is linearly arranged into two rows extending along the length of the binder applicator. An air knife is mounted on the mobile platform and coupled to an air compressor for generating an air curtain. An aggregate dispenser bar including at least one aggregate dispenser is coupled to an aggregate bin and mounted on the mobile platform for dispensing aggregate.

Abstract: Disclosed herein are system, method, and computer program product embodiments for a method of cloud infrastructure optimization. The method identifies an existing infrastructure configuration deployed in a cloud environment and generates a plurality of proposal configurations, each of the plurality of proposal configurations having executable code configured to adjust the existing infrastructure configuration for at least one variable. The method selects a proposal configuration from the plurality of proposal configurations based on the at least one variable adjusted for in the existing infrastructure configuration, and the selected proposal configuration is deployed in the cloud environment. The method then analyzes the selected proposal configuration for a level of adjustment for the at least one variable. The method trains a model engine with existing and new training data.

Abstract: Aspects described herein may provide determination of a pedestrian route for a user to reach a seating area inside of a venue. Financial transaction data of the user may be reviewed to determine the user purchased one or more tickets to an event at the venue. Information regarding the event or the venue may be determined including seating charts for the venue and whether the tickets are for assigned or unassigned seats. Crowd densities inside and outside of the venue may be determined. The pedestrian route may be determined based on the crowd densities, number of tickets, and type of seating. The route may be updated as conditions change including any change to the crowd densities or change to seating availability. The route may increase a likelihood that the user reaches the seating area prior to a start of the event, and in a less stressful manner.

Abstract: Disclosed herein are systems and methods for automating a pump-down stop operation and, more particularly, example embodiments may include an automated pump-down stop system that adjusts a fluid rate and a winch speed before the target depth based on the remaining depth and line speed. An example method for automating a pump-down stop operation of a downhole tool string includes: measuring a depth of the downhole tool string, wherein the downhole tool string is held by a wireline; measuring a wireline tension; measuring a speed of the wireline; measuring a pumping rate; measuring an inclination of the downhole tool string; and regulating automatically a winch controller and a pump controller simultaneously to stop the downhole tool string at a target depth based at least on the measurements of one or more of the depth, wireline tension, speed, pumping rate, and/or inclination.

Abstract: A password-less authentication system and method include registering a contactless card of a client with an application service and binding the contactless card to one or more client devices. The contactless card advantageously stores a username and a dynamic password. Accesses by the client to the application service may be made using any client device, and authentication of the accesses may be performed by any client device that includes a contactless card interface and can retrieve the username and dynamic password pair from the contactless card. By storing the username on the card, rather than requiring user input, application security improved because access to and knowledge of login credentials is limited. In addition, the use of a dynamic password reduces the potential of malicious access.

Abstract: This disclosure relates to method and system to estimate model performance based on model decision boundaries. Absence of ground truths in a production scenario makes difficult to estimate the model behavior and performance. The disclosed method receives a set of unlabeled datapoints as input and a set of features are extracted from a training dataset associated with a model for which the performance is being estimated. Further, a nearest neighbor point of each unlabeled datapoint is computed from the training dataset with a first distance and a second distance and an associated ground truth. The performance of the model is estimated by evaluating a label assigned to each unlabeled datapoint from the set of unlabeled datapoints. Then, a decision boundary radius of the model is computed for the nearest neighbor point of each unlabeled datapoint based on the training dataset and the tolerance value using a Bayesian optimization technique.