Abstract: A time-based wireless pairing operation between a medical device, such as a patient bed, and a wall module in a patient room is initiated in response to a power plug of the medical device being plugged into a power receptacle carried by the wall module. Times determined by timers of the medical device and the wall module are compared by the wall module or by the medical device so that wireless pairing occurs only with the medical device that was plugged into the wall module. Different types of plug detectors used in the wall module to detect connection of the power plug include optical detectors, mechanical switches, and current sensors.

Abstract: Quantum computers pose significant threat to modern day cryptography. To mitigate this risk, migration of enterprise applications to a quantum safe state is needed. Crypto inventory, an automatic process to discover all crypto application programming interfaces usage in an enterprise application, is a first problem to be addressed in the migration journey. Embodiments of the present disclosure provide a method and system for a dynamic generation of rules. An input program statement includes an unseen crypto application programming interface (API) is received which represents a method invocation. The invoked method is mapped by the input program statement with a rules database to infer and generate new rules for an unseen crypto application programming interface (API) belonging to (a) a same library by a weighted distance approach, (b) a library implementing known contracts by a graph traversal approach, and (c) a library implementing unknown contracts by a pattern matching approach respectively.

Abstract: The present disclosure describes computer-implemented methods and systems for automating application processing with dynamic data collection and augmentation related to applicants' behavior. The method includes receiving a plurality of applications with corresponding information, then aggregating, storing, and preprocessing data related to the applicants' behavior. The method also includes a machine learning model including a training dataset, a feature selection module, a hyperparameter tuning module, and a prediction model. The method includes predicting the application outcome based on the application information and behavior data and generating an underwriting decision based on the prediction. The method further includes providing underwritten applications for display and receiving a selection of a subset of the underwritten applications.

Abstract: Disadvantage of existing fault detection approaches is that they fail to diagnose types and magnitudes of faults and to take into consideration uncertainties that arise due to various factors such as, but not limited to, sensor noise and model inaccuracies. System and method disclosed in the embodiments herein provide Bayesian regression-based fault detection and diagnosis in wind turbine sensors and actuators. In the process, the system generates one or more fault signature distributions and associated magnitude and uncertainty, wherein the one or more fault signature distributions is indicative of one or more probable faults in the wind turbine sensor and the actuator.

Abstract: An apparatus and method for analysis of preservation requirements using a dual-predictor architecture, wherein the apparatus comprises at least a processor, and a memory communicatively connected to the at least a processor, the memory containing instructions configuring the at least a processor to receive a sustainment profile containing at least a maintenance engagement datum; identify at least a preservation need as a function of a deterioration predictor, wherein the deterioration predictor is configured to output a deterioration of an asset contained within the sustainment profile; determine at least a relative advantage of a maintenance program as a function of an advantage predictor, wherein the advantage predictor is configured to receive the preservation need as input and output the maintenance program and the relative advantage; display, through a graphical user interface, the at least a preservation need and relative advantage.

Abstract: A modular antenna sleeve assembly includes an antenna and an antenna sleeve having a wiring hole to receive wiring of the antenna. The modular antenna sleeve assembly also includes a protection sleeve disposed around the antenna sleeve and configured to shield the antenna. The modular antenna sleeve assembly further includes a locking sleeve disposed around the antenna sleeve and configured to hold the protection sleeve in position while the locking sleeve is in a locked position.

Abstract: A minimalist wall-mountable exercise machine, including a beam configured for vertical mounting on a wall, a selectively positionable arm extending from the beam; a tension cable extending through the selectively positionable arm, a motor for applying resistance on the tension cable, and a housing configured to conceal the motor behind the beam with the beam covering the motor and the housing, such that the beam and the housing visually cooperate to conceal the motor behind the beam.

Abstract: Systems and methods for characterizing a subterranean formation that include a drill bit for drilling a deviated wellbore through the formation and that repeatedly changes direction. Also included is a directional drilling system and measurement equipment to detect a property of the formation. A trajectory control system is operable to: receive a well log; determine a property of the wellbore; segment the well log based on the property; and correlate one of the segments with the well log previous to the segment to determine a matching score for the segment. If the matching score is equal to or greater than a minimum threshold, the segment was taken in the formation and at the same stratigraphical true vertical depth (“STVD”). If the matching score is less than the minimum threshold, the segment was not taken in the formation and not at the same STVD and the STVD is estimated.

Abstract: A fluid sampling tool is locatable in a borehole for sampling formation fluid including a chemically active component from a formation. The fluid sampling tool includes a sample chamber including a fluid inlet and an interior, wherein the interior includes a substrate and a reagent attached to the substrate, and wherein the reagent is configured to react with the chemically active component of the formation fluid to form a reaction product. The fluid sampling tool also includes a pump operable to pump a sample of the formation fluid in from the formation through the probe and into the sample chamber.

Abstract: A computer-implemented method to perform joint inversion of formation data includes performing a first inversion of a formation surrounding a wellbore at a first frequency/spacing configuration, and performing a second inversion of the formation at a second frequency/spacing configuration that is different from the first configuration. The method also includes assigning a first fluctuating weight to the first inversion, and assigning a second fluctuating weight to the second inversion. The method further includes merging the first and second inversion based on a combination of the first and second fluctuating weights.

Abstract: Systems and methods use dynamically generated validation rules. These validation rules comprise a first validation rule portion that is generated using a standardized validation process (e.g., corresponding to a standardized schema) and a second validation rule portion that is generated using a validation process selected based on a non-standardized schema that is specific to a respective asset type of the plurality of respective asset types.

Abstract: Data requesting devices and data sending devices are provided. Each of the devices are configured with at least one request port and at least one response port. A packet switched network device is coupled to the respective request ports of the data requesting devices and the data sending devices. Moreover, a low-latency digital programmable controller configured as a central orchestrating unit is coupled to the packet switch network device. A circuit switched network device is coupled to the central orchestrating unit and coupled to at least the respective response ports of the plurality of data requesting devices and the plurality of data sending devices, wherein the circuit switched network device is configured to receive a data request from one of the plurality of data requesting devices for data from one of the plurality of data sending devices, and send the data request to the central orchestrating unit.

Abstract: A method includes receiving, by an authorizing entity computer from an authorizing entity application on a mobile device, a request for encrypted user device details. The request includes a user device identifier for a selected user device and a signed nonce, which is a nonce signed by a processing computer. The method includes verifying the signed nonce, retrieving user device information associated with the user device identifier, encrypting the user device information, and transmitting, to the authorizing entity application on the mobile device, the encrypted user device information.

Abstract: Antibodies and antigen binding fragments that specifically bind to gp120 and neutralize HIV-1 are disclosed. Nucleic acids encoding these antibodies, vectors and host cells are also provided. Methods for detecting HIV-1 using these antibodies are disclosed. In addition, the use of these antibodies, antigen binding fragment, nucleic acids and vectors to prevent and/or treat an HIV-1 infection is disclosed.

Abstract: Systems and methods are provided for performing directional drilling. An example method can include receiving, by a surface controller, a well plan for performing directional drilling of a wellbore; receiving, by the surface controller, an estimate for at least one drilling parameter that is based on a model of a bottom hole assembly (BHA) configured to perform directional drilling of the wellbore; and determining, by the surface controller, a steering force and a weight-on-bit (WOB) for drilling the wellbore, wherein the steering force and the WOB are based on the well plan and the estimate for the at least one drilling parameter.

Abstract: This disclosure relates generally to system and method to determine crop growth stage nutrient deficiencies. Diagnosing correct nutrient deficiencies in the plant is very challenging based on plant image analysis during the cropping season. The method of the present disclosure enables assessing nutrient deficiency using image processing techniques according to current crop growth stage. The method receives from an image capturing device a plurality of crop images of one or more crop fields. Further, trained single shot deep learning network determines a crop growth stage from a plurality of crop growth stages for each crop by extracting a plurality of morphological features. Then, the health state of the crop is determined based on a balanced plant nutrition index (BPNI) value. Further, a plurality of nutrient deficiencies corresponding to the current crop growth stage of the unhealthy crop. Further, a total nutrient deficiency score for deficient nutrients of the unhealthy crop.

Abstract: Breaker fluids for removing polyolefin agglomerations from wellbore equipment and subterranean formations. An example breaker fluid includes an acid, at least one oxidizer, a corrosion inhibitor, a surfactant, an asphaltene remover, a sludging inhibitor, and an aqueous base fluid. The breaker fluid is introduced to wellbore equipment and subterranean formations and breaks down polyolefin agglomerations present therein.

Abstract: Though several data augmentation techniques have been explored in the signal or feature space, very few studies have explored augmentation in the embedding space for Automatic Speech Recognition (ASR). The outputs of the hidden layers of a neural network can be seen as different representations or projections of the features. The augmentations performed on the features may not necessarily translate into augmentation of the different projections of the features as obtained from the output of the hidden layers. To overcome the challenges of the conventional approaches, embodiments herein provide a method and system for augmented speech embeddings based automatic speech recognition. The present disclosure provides an augmentation scheme which works on the speech embeddings. The augmentation works by replacing a set of randomly selected embeddings by noise during training. It does not require additional data, works online during training, and adds very little to the overall computational cost.

Abstract: Systems and methods for determining a level of contamination of a formation fluid by a drilling fluid are disclosed. The method includes defining a first curve of a range of values for a plurality of properties of the formation fluid in a multidimensional space, wherein each dimension is associated with one of the plurality of properties, defining a first point of the values of the plurality of properties for the drilling fluid in the multidimensional space, accessing measurements of the plurality of properties for a plurality of samples of a fluid being pumped out of a wellbore, defining a plurality of second points of the respective measured properties in the multidimensional space, and defining a vector from the first point through the plurality of second points to the first curve.

Abstract: This disclosure relates generally to the field of image processing, and, more particularly, to a method and system for Multimodal Image Super-Resolution (MISR) using convolutional dictionary learning. Existing sparse representation learning based techniques for MISR have certain limitations which impact quality of the reconstructed image. The present disclosure performs MISR using convolutional dictionaries which are translation invariant. Low-resolution image of the target modality and high-resolution image of the guidance modality are modelled using their respective convolutional dictionaries and associated coefficients. Additionally, two coupling convolutional dictionaries are learned to model the relationship between them and synthesize the high-resolution image of the target modality more efficiently.