Abstract: Provided is a method for blending of agricultural product utilizing hyperspectral imaging. At least one region along a sample of agricultural product is scanned using at least one light source of different wavelengths. Hyperspectral images are generated from the at least one region. A spectral fingerprint for the sample of agricultural product is formed from the hyperspectral images. A plurality of samples of agricultural product is blended based on the spectral fingerprints of the samples according to parameters determined by executing a blending algorithm.

Abstract: Disclosed herein are aspects for splitting a transaction. An example aspect begins by receiving transaction information specifying a transaction. The aspect continues by receiving split request information corresponding to the transaction. The split request information specifies how to split the transaction with one or more other parties. Next, the aspect sends, by a first user device, a split request to a second user device based on the split request information. The split request comprises input fields for each of the respective one or more other parties. These input fields include respective payer account identifier and actual payment amount fields. The aspect continues by receiving, based on an input from a user interface of the second user device, the payer account identifier and the actual payment amount. Lastly, the aspect sends a payment request to a payer account corresponding to the payer account identifier for the actual payment amount.

Abstract: Various embodiments are generally directed to secure generation of barcodes using cryptographic techniques. An application may receive a request to generate a barcode. The application may receive encrypted data from a communications interface of a contactless card associated with an account. The application may receive, from a server, verification of the encrypted data and an encrypted authorization token associated with the account. The application may generate the barcode utilizing the encrypted authorization token.

Abstract: Disclosed herein are system, method, and computer program product embodiments for verification of proximity to a kiosk, such as an ATM. The mobile application installed on a mobile device may be used to setup a prestaged transaction. When the mobile device is in the proximity to the kiosk to complete the prestaged transaction, a location of the mobile device may be verified using ambient sound recorded by a microphone of the mobile device. The ambient sound may be songs, tones, or ultrasonic sound played by a sound system near the kiosk. The recorded ambient sound may then be compared to expected audio from the sound system to determine whether the mobile device is in proximity to the kiosk.

Abstract: Systems and methods of the present disclosure relate to creating seals that expand during temperature drops. The seals may include a negative CTE material that is either internal or external to the sealing element; shape memory alloys (SMA) which exhibit negative CTE during a phase change; and/or external lattice structures with positive CTE components but negative overall CTE.

Abstract: A variety of methods and well treatment fluids are disclosed, including, in one embodiment, a method of treating a subterranean formation, comprising contacting the subterranean formation with a well treatment additive, wherein the well treatment additive comprises an ionic liquid comprising a cation and an anion having the following formula: [R1R2R3R4N]+[X]?, wherein R1, R2, R3, R4 are individually selected from the group consisting of an alkyl group, a hydroxyalkyl group, and a combination thereof provided that at least one of R1, R2, R3, R4 is the hydroxyalkyl group, and wherein the anion X? comprises at least one anion selected from the group consisting of F?, Cl?, Br?, I?, H2PO4?, HPO42?, PO43?, HSO4?, C7H7OSO3?, C7H7SO3?, SO42?, CH3SO3?, C2H5OSO3?, CH3OSO3?, C2H5OSO3?, and combinations thereof. In one or more embodiments, a well treatment fluid comprises a base fluid and a well treatment additive comprising the ionic liquid.

Abstract: The present invention relates to bacteria conferring bioprotection and/or biofertilizer properties to plants into which they are inoculated. More particularly, the present invention relates to endophyte strains of Paenibacillus sp., plants infected with such strains and related methods.

Abstract: A reverse osmosis water filtration system includes an integrated agitation system imparting vibration from a system pump to at least one particulate media filter cartridge. The system may periodically or continually agitate the particulate media of the filter cartridge to disrupt, remove and/prevent channeling and clumping of the particulate media and filtered impurities. The disclosed systems and methods may significantly prolong the usage period of a filter cartridge and increase the efficiency of the filtration system.

Abstract: System and methods for handling on-chain cryptographic resources based on conditions generated responsive to an off-chain trigger. The system may receive a transfer request that includes a resource allocation request, generate a first blockchain function request for a list of contributor identifiers and condition sets, receive the list of contributor identifiers and condition sets, determine a subset of the list of contributor identifiers and condition sets, generate a second blockchain function request, and transmit the second operation request to a blockchain node.

Abstract: Various embodiments are directed to techniques for ensuring that a negotiable instrument has not been altered between the time the instrument leaves the hands of the payor and when the check is presented for redemption by the payee by recording an image of the check in a data block in a blockchain and retrieving the image when the check is presented for redemption for comparison with the check. A match between the stored image and the check indicates that no alteration of the check has occurred.

Abstract: Conventionally, most equipment manipulating object have been huge with rotatable pivot platforms, multiple roller conveyors, telescopic boom conveyors, hydraulic cranes, etc. These systems may have higher lifecycle cost due to their size and bill of materials (BoM) count and have limited themselves to handling either loading or unloading and lack to perform both the operations. Present disclosure provides apparatus for organized loading and unloading of objects. The apparatus addresses the issue of single equipment for both loading, unloading, and further automatically organizes the objects in bulk thus ensuring safety, without damages. The objects are placed optimally while being unloaded onto pallets or other carriers. While loading into a container, the objects are loaded to a greater fill volume.

Abstract: In general, in one aspect, embodiments relate to an expandable liner hanger that includes a body that includes one or more anchoring ridges configured to seal against a casing, where at least one of the one or more anchoring ridge includes a first section and a second section, where a first axial distance spanned by the first section is less than a second axial distance spanned by the second section, and where the second section is reinforced to resist differential pressure that reduces contact pressure between the first section and the casing.

Abstract: A variety of methods and compositions are disclosed, including, in one embodiment, a method of synthesizing an ionic liquid comprising a cation and an anion, comprising: reacting an alkyl hydroxyalkyl tertiary amine with an alkyl sulfate to form the ionic liquid having the following formula: [R1R2R3R4N]+[X]?, wherein R1, R2, R3, R4 are individually selected from the group consisting of an alkyl group, a hydroxyalkyl group, and a combination thereof provided that at least one of R1, R2, R3, R4 is the hydroxyalkyl group, and wherein the anion X? comprises at least one anion selected from the group consisting of F?, Cl?, Br?, I?, H2PO4?, HPO42? PO43?, HSO4?, C7H7OSO3?, C7H7SO3?, SO42?, C2H5SO4?, CH3SO3?, C2H5SO3?, CH3OSO3?, C2H5OSO3?, and combinations thereof.

Abstract: A computer-implemented method for using a machine-learning trained predictive engine to predict failures includes receiving electronic prior transaction data corresponding to a plurality of prior successful transactions and a plurality of prior unsuccessful transactions, and training a machine learning predictive engine based on the plurality of prior successful transactions and the plurality of prior unsuccessful transactions. Electronic transaction data may be received, the electronic transaction data being associated with a user, an item, and candidate transaction terms, the electronic transaction data being associated with a candidate transaction. The machine learning predictive engine may determine a likelihood of success of the candidate transaction based on the electronic transaction data, and display the likelihood of success of the candidate transaction.

Abstract: Systems and methods for classifying gaps in network activity as normal or anomalous are disclosed. A computer system can identify time gaps between successive network events, which can comprise communications or interactions between entities or devices on a network. The computer system can identify network event data records corresponding to network events that occurred both before and after the identified time gaps. The computer system can use data contained in network event data records corresponding to these network events to derive data features that can be used to train a machine learning to classify time gaps based on those features. After training the machine learning model, the computer system can then extract data features corresponding to unlabeled time gaps, and input those data features into the trained machine learning model in order to classify those time gaps as normal or anomalous.

Abstract: Cloud and Fog computing are complementary technologies used for complex Internet of Things (IoT) based deployment of applications. With an increase in the number of internet-connected devices, the volume of data generated and processed at higher speeds has increased substantially. Serving a large amount of data and workloads for predictive decisions in real-time using fog computing without Service-Level Objective (SLO) violation is a challenge. Present disclosure provides systems and method for inference management wherein a suitable execution workflow is automatically generated to execute machine learning (ML)/deep learning (DL) inference requests using fog with various type of instances (e.g., Function-as-a-Service (FaaS) instance, Machine Learning-as-a-service (MLaaS) instance, and the like) provided by cloud vendors/platforms. Generated workflow minimizes the cost of deployment as well as SLO violations.

Abstract: Logic may provide a hierarchical label structure for a document with a predicted set of hierarchical labels. Logic may provide a historical label performance database comprising performance data associated with each assignee in a complete set of assignees for each label in a complete set of the hierarchical labels. Logic may generate a first vector for the hierarchical label structure for the document. Logic may generate a second vector for the assignees in an identified set of assignees, comprising each hierarchical label in the predicted set of hierarchical labels for the document, the identified set comprising one or more of the assignees in the complete set of assignees. Logic may perform a similarity search to identify a predicted assignee from the identified set of assignees and logic may predict a selected assignee of the identified set of assignees to associate with the document via the similarity search.

Abstract: Methods and systems for routing data payloads through a plurality of microservices are disclosed. The method may comprise: receiving a data payload and first data; predicting, by a trained machine learning model based on the first data, a path through a plurality of microservices associated with the data payload; generating a modified data payload by modifying, via the orchestrator service, the data payload to include: a first header, wherein the first header comprises a first microservice destination address associated with a first microservice of the plurality of microservices and a second header nested within the first header, wherein the second header comprises a second microservice destination address associated with a second microservice of the plurality of microservices; forwarding the modified data payload to the first microservice based on the first header for processing; and forwarding the modified data payload to the second microservice based on the second header for processing.

Abstract: A cartridge of an electronic vaping device includes a housing extending in a longitudinal direction. The housing includes a sidewall, a transverse wall at the first end of the sidewall, and an inner tube integrally formed with the housing. The sidewall is generally cylindrical and a first end and a second end. The transverse wall includes at least one outlet therein. The inner tube extends in the longitudinal direction. The inner tube is concentrically positioned with respect to the sidewall. The inner tube communicates with the at least one outlet. The cartridge also includes a reservoir between the sidewall and the inner tube. The reservoir is configured to contain a pre-vapor formulation.

Abstract: A method for tuning a distributed acoustic sensing (DAS) system. The method may include determining a signal strength from a first Raman Pump in the DAS system, sweeping a laser pulse output from a transmitter; wherein the sweeping is an incremental increase of a power of the laser pulse output from a minimum pulse power to a maximum pulse power, and measuring a first signal-to-noise-ratio (SNR) for each of the incremental increase of the power of the laser pulse output. The method may further comprise selecting a maximum SNR from the first SNR for each of the incremental increase of the power of the laser pulse output and configuring the first Raman Pump and the laser pulse output based at least in part on the maximum SNR.