Abstract: Apparatuses and associated techniques for fall detection and prevention via wearable devices are provided. In one aspect, a wearable device is provided including one or more pressure sensors arranged on a bottom portion of the wearable device to collect pressure data from a bottom of a foot of a user, a wireless transmitter communicatively coupled with the one or more pressure sensors, and a power source coupled with the wireless transmitter.

Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing genomic predictive data analysis operations. For example, certain embodiments of the present invention utilize systems, methods, and computer program products that perform genomic predictive data analysis operations by using at least one of viral genomic processing machine learning models and bacterial genomic processing machine learning models.

Abstract: This disclosure relates generally to method and system to monitor and control continuous ultrafiltration (UF) process units. In real time, continuous operation of UF to handle variating concentration in feed stream is tedious and complex. The UF plant system receives a plurality of input data configured to UF process units and from the real time data outliers are removed and missing values are imputed. The prediction module predicts a volumetric concentration factor (VCF) value and a throughput value by selecting a model from a model repository. The optimization module optimizes the VCF value, and the throughput value based on a plurality of optimal variables recommended for a given feed concentration. The UF plant system controls the VCF value and the throughput value for a predefined period of a prediction horizon based on a plurality of trajectory profiles recommended for the feed flow rate, the pressure data, and a feed concentration.

Abstract: In some examples, a database system identifies a plurality of query portions in a database query that contain references to a first external table, the first external table being based on data from a remote data store coupled to the database system over a network. The database system creates a common spool portion that includes projections and selections of the plurality of query portions, and rewrites the plurality of query portions into rewritten query portions that refer to a spool containing an output of the common spool portion. For execution of the database query, the database system determines, as part of optimizer planning, whether to use the plurality of query portions or the common spool portion and the rewritten query portions.

Abstract: Various embodiments disclose a glow plug for a solid oxide fuel cell system. The glow plug includes a housing having a first end portion and a second end portion. The glow plug includes a heating element longitudinally disposed in the housing, extending from the second end portion of the housing towards the first end portion and extending outwardly from the housing for igniting fuel. Further, the glow plug includes a pair of coiled wires electrically connected to the heating element. Further, the glow plug includes a potting compound disposed within the second end portion of the housing for securing electrical coupling of the pair of coiled wires with the heating element. Furthermore, the glow plug includes a sealing element configured to form an air-tight connection between the housing and the heating element. The sealing element is positioned on top of the potting compound.

Abstract: Various embodiments disclose a glow plug for a solid oxide fuel cell system. The glow plug includes a housing having a first end portion and a second end portion. The glow plug includes a heating element longitudinally disposed in the housing, extending from the second end portion of the housing towards the first end portion and extending outwardly from the housing for igniting fuel. Further, the glow plug includes a pair of coiled wires electrically connected to the heating element. Further, the glow plug includes a potting compound disposed within the second end portion of the housing for securing electrical coupling of the pair of coiled wires with the heating element. Furthermore, the glow plug includes a sealing element configured to form an air-tight connection between the housing and the heating element. The sealing element is positioned on top of the potting compound.

Abstract: A communication device, method, and computer program product prompt correct face/eye positioning to enable perceived eye-to-eye contact of a user of a video capturing device with camera on a same device side as the viewable display device. A first communication device includes a first display device having a first graphical user interface (GUI). A first image capturing device of the first communication device has a field of view that captures a face of a first user viewing the first GUI. The first image capturing device generates a first image stream of the field of view. A controller of the communication device identifies a look target area of the first GUI proximate to the first image capturing device. The controller presents visual content on the first GUI within the look target area to prompt the first user viewing the first GUI to look towards the look target area.

Abstract: Methods and systems for image registration using an intelligent artificial agent are disclosed. In an intelligent artificial agent based registration method, a current state observation of an artificial agent is determined based on the medical images to be registered and current transformation parameters. Action-values are calculated for a plurality of actions available to the artificial agent based on the current state observation using a machine learning based model, such as a trained deep neural network (DNN). The actions correspond to predetermined adjustments of the transformation parameters. An action having a highest action-value is selected from the plurality of actions and the transformation parameters are adjusted by the predetermined adjustment corresponding to the selected action. The determining, calculating, and selecting steps are repeated for a plurality of iterations, and the medical images are registered using final transformation parameters resulting from the plurality of iterations.

Abstract: Wiper is utilized to clean side-view mirror of a vehicle. Existing wiper attached with the side-view mirror obstructs visibility of a driver while cleaning the side-view mirror in a rainy season or in a dusty environment, which leads to an accident. A vehicle mirror wiping unit is provided. The vehicle mirror wiping unit includes a mirror; a mirror shutter assembly; a mirror casing; a mirror mounting unit, consisting of: the mirror, a mirror spring, a spring retaining cap, and a mirror spring holder; a pin pass through a cut-out of the spring retaining cap, and a cut-out in the mirror spring holder; and a cleaning elastomer is triggered by the mirror shutter motor, and the mirror shutter moves from the first end of the mirror to the second end of the mirror. A frontal surface of the mirror shutter is a reflective surface functioning as a mirror.

Abstract: A processor, responsive to detecting a controller is drawing power from a battery to perform a task when a vehicle is parked and detecting a parameter indicative of a likelihood that the controller will complete the task within a predefined time period has a value less than a threshold value, generates a message for a user requesting whether the controller should be shut down without completing the task.

Abstract: The present disclosure generally relates to a system for crime risk forecasting using cyber security and deep learning comprises a data input unit for receiving a pre-stored crime event dataset and real time crime event data input along with geographical details of an area; a classification processing unit for categorizing pre-stored crime event dataset and real time crime event data input according to crime type; a graphical user interface for entering a target geographic area for forecasting upcoming crime risk; a central processing unit for generating a crime risk forecast based on the historical crime incident stored in the pre-stored crime event dataset using a deep leaning technique; and a control unit coupled to a display for displaying a crime risk ranking generated based on the crime risk forecast and one or more crime risk event for the target geographic area.

Abstract: Computing systems employing measurement of boot components, such as prior to activation of a trusted platform module (TPM), for enhanced boot security, and related methods and computer-readable media. In exemplary aspects, to extend the measured boot process performed by a trusted platform module (TPM) circuit to earlier, primitive boot components that are processed before the TPM circuit becomes available to perform boot measurements, a secure boot processing system is configured to measure earlier, primitive boot components. The measured primitive boot components are used to update a virtual configuration register (CR) value in a final virtual CR. The TPM circuit uses the final virtual CR value as an initial starting CR value to measure subsequent boot components to provide end-to-end security for boot operations. In this manner, the final virtual CR value protects boot integrity of boot operations of its CPU even if they occur before availability of the TPM circuit.

Abstract: An approach is provided for authorizing a card transaction. Data about spending by a user is received by a computer system, which is a server computer of a trade organization established by a card provider organization to include multiple merchants. The computer system is configured to authorize or decline card transactions. A predictive pattern of spending by the user is determined. A card transaction is detected. The card transaction is initiated by the user using a card to make a purchase from a merchant included in the trade organization. Card transaction information about the card transaction is obtained via an intranet. It is determined that the card transaction information matches the predictive pattern of spending. The card transaction is authorized without sending the card transaction information via the internet, or to a server or computer network of the card provider organization.

Abstract: A system, method and computer-readable storage devices for providing unsupervised normalization of noisy text using distributed representation of words. The system receives, from a social media forum, a word having a non-canonical spelling in a first language. The system determines a context of the word in the social media forum, identifies the word in a vector space model, and selects an “n-best” vector paths in the vector space model, where the n-best vector paths are neighbors to the vector space path based on the context and the non-canonical spelling. The system can then select, based on a similarity cost, a best path from the n-best vector paths and identify a word associated with the best path as the canonical version.

Abstract: Systems and methods for navigating an autonomous vacuum are disclosed. According to one method, the autonomous vacuum traverses a cleaning environment having a plurality of surfaces. As the autonomous vacuum is traversing the cleaning environment, sensors on the autonomous vacuum capture sensor data describing a first section of a surface on which the autonomous vacuum is currently traversing. Based on the received sensor data, the autonomous vacuum can determine that the first section is of a first surface type of a plurality of surface types. The autonomous vacuum can generate a user interface with a background displaying the determined first surface type to notify the user of where the autonomous vacuum is cleaning.

Abstract: A method and a system for Augmented Reality (AR) content creation is disclosed. The method includes creating a feature vector corresponding to each of a sequence of frames extracted from a video, based on a plurality of features captured. The method further includes determining a vector distance between each of two consecutive frames from the sequence of frames, based on the feature vector associated with each of the two consecutive frames. The method further includes dividing the video into a plurality of frames based on the determined vector distance. The method further includes creating a storyline based on an object and an action associated with the object in each of the plurality of frames, and generating a set of instructions for a user based on the storyline created for each of the plurality of frames and real-time video stream capturing a current state of a user environment.

Abstract: Certain aspects of the present disclosure provide techniques for wound management and treatment. This includes determining characteristics of a wound for a patient based on an image of the wound, including detecting the characteristics based on analyzing the image using a first ML model trained to detect wound characteristics from a captured image. The techniques further include identifying patient medical data including characteristics relating to a medical history for the patient, and predicting a first care plan for the patient based on providing the characteristics of the wound and the patient medical data to a second ML model. The second ML model is trained to predict the first care plan using prior wound care outcome data including a prior wound care outcomes relating to prior patients. The first care plan is configured to be used to treat the wound for the patient.

Abstract: For training for and performance of patient modeling from surface data in a medical system, a progressive multi-task model is used. Different tasks for scanning are provided, such as landmark estimation and patient pose estimation. One or more features learned for one task are used as fixed or constant features in the other task. This progressive approach based on shared features increases efficiency while avoiding reductions in accuracy for any given task.

Abstract: Tracking of health and resilience of physical equipment and related systems are disclosed. A system includes physical equipment and one or more processors. The physical equipment includes one or more assets. The one or more processors are configured to determine a resilience metric for the physical equipment. The resilience metric includes a real power component and a reactive power component based, at least in part, on an aggregation of real components and reactive components of adaptive capacities of the one or more assets. A cyber-physical system includes physical equipment, network equipment configured to enable the physical equipment to communicate over one or more networks, a physical anomaly detection system (ADS) configured to detect anomalies in operation of the physical equipment and provide a physical component of a cyber-physical metric, and a cyber ADS configured to detect anomalies in network communications over the one or more networks.

Abstract: Methods and systems for image registration using an intelligent artificial agent are disclosed. In an intelligent artificial agent based registration method, a current state observation of an artificial agent is determined based on the medical images to be registered and current transformation parameters. Action-values are calculated for a plurality of actions available to the artificial agent based on the current state observation using a machine learning based model, such as a trained deep neural network (DNN). The actions correspond to predetermined adjustments of the transformation parameters. An action having a highest action-value is selected from the plurality of actions and the transformation parameters are adjusted by the predetermined adjustment corresponding to the selected action. The determining, calculating, and selecting steps are repeated for a plurality of iterations, and the medical images are registered using final transformation parameters resulting from the plurality of iterations.