Abstract: A device can determine that a container is deployed in a front-end of a private network. The container can include a self-contained execution environment. The container can include an interface that is configured for directing network traffic between the front-end of the private network and one or more applications operating in a back-end of the private network. The device can configure an interface of the container for directing network traffic between an external network and the container. The device can configure a firewall of the front-end of the private network to permit routing of network traffic between the external network and the container. The device can advertise a route for directing network traffic between the external network and the container. The device can perform routing of network traffic between the one or more applications operating in the back-end of the private network and the external network using the container.

Abstract: Various embodiments for an alarm performance optimizer are disclosed. An embodiment operates by receiving information about a status of each of a plurality of alarm configurations monitored by a control system. Calculating one or more alarm configuration health metrics based on the received information. The calculated one or more alarm configuration health metrics are displayed in a user interface. A first action that will increase a value of a first alarm metric of the one or more alarm configuration health metrics is identified. The first action is displayed on the user interface. A selection of the first action is received via the user interface. The user interface is updated to display additional details about a subset of the plurality of alarm configurations associated with the first action.

Abstract: An end effector is disclosed. The end effector includes a first grasping mechanism for grasping at least one first object when the robotic end effector is operated in a first mode and a second grasping mechanism for grasping a second object when the robotic end effector is operated in a second mode. The second grasping mechanism is robotically positioned in an inactive state when the robotic end effector is controlled to operate in the first mode.

Abstract: The present disclosure provides for a system for facilitating a completely automated process that may directly fetch an imagery of a given location and area from any mapping module and extract a plurality of objects in the given imagery. Further, a deep learning-based object segmentation such as but not limited to a cascaded reverse mask RCNN framework method may generate a set of predefined vectors associated with the image. The system may be configured to automate the generation of the predefined vectors based on the image received from the image sensing assembly.

Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive data analysis. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform predictive data analysis by generating input processing rules using at least one of general clusters generated using all of a set of prediction input data objects, high-confidence clusters generated using prediction input data objects having threshold-satisfying clustering confidence scores, and low-confidence clusters generated using prediction input data objects having non-threshold-satisfying clustering confidence scores.

Abstract: A compensation circuit includes a tail current source, an error amplifier; a compensation resistor, and a voltage-to-current converter circuit. The tail current source is configured to generate a tail current. The error amplifier is coupled to the tail current source and biased by the tail current. The compensation resistor is coupled to the error amplifier. The voltage-to-current converter circuit is coupled to the error amplifier. The compensation resistor is configured to vary in resistance responsive to a change in the tail current, or the voltage-to-current converter circuit is configured to vary in transconductance responsive to the change in the tail current.

Abstract: A host computing system may include a processor and a memory coupled to the processor. The memory may include an auto-discovery module to broadcast a message to a set of management nodes in a data center. The message may include a configuration policy. Further, the auto-discovery module may receive an acknowledgment message from a management node. The acknowledgment message may indicate that the management node supports the configuration policy. Furthermore, the auto-discovery module may establish a trust relationship with the management node in response to receiving the acknowledgment message. Further, the auto-discovery module may enable the host computing system to add to a cluster managed by the management node upon establishing the trust relationship.

Abstract: Techniques for declaratively deploying a virtual infrastructure management (VIM) server in a computing environment are provided. According to one set of embodiments, an installer computer system can receive a desired state definition specifying a desired state for the VIM server and a virtual infrastructure to be managed by the VIM server. The installer computer system can further install the VIM server on a target computer system in the computing environment and provide the desired state definition to the target computer system. Upon initial boot up of the VIM server on the target computer system, a service of the VIM server can automatically configure the VIM server in accordance with the desired state definition.

Abstract: The present invention is directed to substituted certain N-(heteroaryl)quinazolin-2-amine derivatives of Formula (I): and pharmaceutically acceptable salts thereof, wherein J, R3, and R4, are as defined herein, which are potent inhibitors of LRRK2 kinase and may be useful in the treatment or prevention of diseases in which the LRRK2 kinase is involved, such as Parkinson's Disease and other diseases and disorders described herein. The invention is also directed to pharmaceutical compositions comprising these compounds and the use of these compounds and compositions in the prevention or treatment of diseases, such as Parkinson's disease, in which LRRK-2 kinase is involved.

Abstract: Apparatus and methods for generating High Dynamic Range (HDR) media, based on multi-stage compensation of motion in a captured scene is disclosed in the embodiments herein. Embodiments herein relates to the field of image processing devices suitable for processing two or more images of different exposures and more particularly to apparatus and methods for generating a High Dynamic Range (HDR) media, based on a multi-stage compensation of motion in a captured scene. The apparatus is configured to correct exposure alignment error and media registration error from a registered plurality of media frames comprising a plurality of exposure levels corresponding to the captured scene. The apparatus is configured to remove a plurality of false ghost artefacts in the plurality of media frames. The apparatus is configured to generate the HDR media, based on a generated ghost map.

Abstract: Systems and methods are provided for suggesting a charging station for an electric vehicle. A destination of the electric vehicle is determined, and a schedule of a user of the electric vehicle is accessed. An event scheduled during a travel period to reach the destination is identified in the schedule of the user, and a suggested charging station is selected based at least on the destination and the identified scheduled event. The suggested charging station is generated for presentation at a display.

Abstract: The present disclosure relates to a response prediction system that intelligently optimizes the quality of responses to a survey by predicting response quality and generating suggested changes (e.g., improving question ordering, question phrasing, question type, etc.). For example, in one or more embodiments, the response prediction system predicts response quality based on extracted survey characteristics. The response prediction system uses the predicted response quality to generate suggested changes before publishing the survey. Additionally, the response prediction system collects feedback by analyzing responses after the survey has been published to update suggested changes specific to the survey.

Abstract: Computing devices, wearable devices, networked environments, and methods for bio-signal acquisition and monitoring skeletomuscular parameters are provided. First data indicative of movement parameters of knee joint of a patient for a test type is obtained from a wearable device. Second data indicative patient-specific parameters of the patient are obtained. A cluster to which the patient belongs is identified based on the patient-specific parameters and a prediction model. A normative range for the test type for the cluster is determined. The first data is processed to determine whether the patient falls within the normative range of the cluster and result is provided.

Abstract: A glass manufacturing apparatus includes a forming apparatus defining a travel path extending in a travel direction. The forming apparatus conveys a ribbon of glass-forming material along the travel path in the travel direction of the forming apparatus. The glass manufacturing apparatus includes a cooling tube extending substantially parallel to the travel path and extending across the travel direction. The cooling tube includes a plurality of orifices spaced apart along the cooling tube and facing the travel path. Methods of manufacturing glass can comprise flowing a coolant from an outlet of a conduit in a direction toward a target location of a flowing ribbon of molten material. Methods can also include changing a phase of the coolant while the coolant is flowing towards the target location. The change in phase can cool the target location.

Abstract: Several embodiments disclosed herein relate to methods and compositions for enhanced expansion of NK cells in culture. In several embodiments, the methods utilize one or more soluble interleukins as culture media supplements at one or more time points during expansion of the NK cell, or other immune cell, the expansion employing a feeder cell population.

Abstract: A plethysmographic respiration processor is responsive to respiratory effects appearing on a blood volume waveform and the corresponding detected intensity waveform measured with an optical sensor at a blood perfused peripheral tissue site so as to provide a measurement of respiration rate. A preprocessor identifies a windowed pleth corresponding to a physiologically acceptable series of plethysmograph waveform pulses. Multiple processors derive different parameters responsive to particular respiratory effects on the windowed pleth. Decision logic determines a respiration rate based upon at least a portion of these parameters.

Abstract: Disclosed are various embodiments of systems and methods of deep learning for colorectal polyp screening and providing a prediction of neoplasticity of a polyp. A video of a colonoscopy procedure can be captured. Frames from the video or images associated with the colonoscopy procedure can be extracted. A model for classifying objects that appear in the frames or the images can be obtained. A classification can be determined for a polyp that appears in at least one of the frames or images based on applying the frames or images to an input layer of the model.

Abstract: Systems and methods for displaying a user interface object associated with a job candidate's social networking site proximate to a job listing presented by a website are described. When a job candidate selects the user interface object, the systems and methods identify and/or obtain information associated with the job candidate that is located or otherwise stored at the social networking site of which the job candidate is a member. Once the information is identified and/or obtained, the systems and methods provide the information to the website, such as to a job application submission system associated with the website.

Abstract: An electronic device has a modulator circuit, a pulse adjustment circuit, and a pulse generator circuit. The modulator circuit generates a comparator output signal based on a sensed inductor current signal of a power converter, an error amplifier output voltage signal, and a ramp signal to regulate an output voltage signal of the power converter. The pulse adjustment circuit generates an adjusted pulse signal based on the comparator output signal and the error amplifier output voltage signal, and to generate an adjusted clock signal based on an input clock signal and the error amplifier output voltage signal. The pulse generator circuit generates a switching control signal to control a transistor of the power converter based on the adjusted pulse signal and the adjusted clock signal.

Abstract: In implementations of systems for generating anti-aliased vector objects, a computing device implements an anti-aliasing system to receive input data describing a Bezier curve of a vector object. The anti-aliasing system generates an aliased curve by rasterizing the Bezier curve in a pixel space having pixels including intersected pixels that are intersected by the aliased curve and non-intersected pixels that are not intersected by the aliased curve. The anti-aliasing system segments the pixels into segments in a virtual space, and the segments have a higher density than the pixels. An intersected segment is identified that is intersected by a portion of the aliased curve in the virtual space. The anti-aliasing system determines a winding number for the intersected segment and generates a portion of an anti-aliased curve for display in a user interface by applying a color value to a coverage mask for an intersected pixel of the pixels.