Abstract: State of art techniques utilize active systems for stronger suction in surface crawlers while the passive approaches have limitation in providing consistent grip while moving across curved surfaces or dents. Embodiments herein provide an autonomous surface crawling robot for crawling over surfaces using electro-mechanical assembly for creating strong suction force and enabling the robot to smoothly crawl over flat surfaces, horizontal/vertical/inclined surfaces, curved surfaces, and surfaces with dents. Battery powered motors are used for only mobilization, while mechanical assembly generates suction to provide consistent grip across different type of surfaces. A dual flexible cam profile assembly including a cam profile and a guide rail generates required suction and addresses the technical challenge of maintaining suction across varying surfaces without using external power for suction generation.

Abstract: A curb management system for a host vehicle includes a sensor, an electronic controller, and a wireless communication system. The sensor is configured to detect information relating to a presence of a parked vehicle along a curb of a road. The electronic controller is configured to determine curb management information based on the information detected by the sensor. The wireless communication system is configured to transmit the curb management information to a remote server and to receive a predicted curb availability from the remote server.

Abstract: A method, system, and computer program product are provided for partitioning a filesystem of a device into a primary partition and a backup partition. Prior to updating an application and/or operating system on the primary partition, a leaf on the backup partition corresponding to the application and/or operating system being updated is created. The execution is monitored of the updated application and/or operating system. In response to a defect being raised against the updated application and/or operating system, leaves corresponding to the updated application and/or operating system are retrieved from the backup partition leaves until the last known good version of the updated application and/or operating system is retrieved. The leaves are sorted by timestamp. The installable image(s) are retrieved from a software repository and applied by timestamp, until reverting to the last known good version in the primary partition is complete.

Abstract: A delivery system for deploying a medical implant includes a delivery wire assembly disposed within a delivery catheter lumen, the assembly having an implant loading region configured for seating the implant when the assembly is constrained within the delivery catheter lumen and the implant is in a compressed configuration, the assembly further including an implant distal protection having a central portion coupled to the assembly, distal of the implant loading region, and a peripheral portion extending proximally from the central portion to at least partially cover a distal end portion of the implant when the assembly, implant and distal protection are constrained within the catheter lumen, wherein the peripheral portion remains extending in the proximal direction when the implant assumes an expanded configuration after being released from the catheter lumen, and the peripheral portion of the distal protection comprises a plurality of stems, each comprising a respective petal-like member.

Abstract: The present disclosure provides methods, apparatuses, systems, and computer-readable mediums for classifying a region and an intensity of a contact. A method includes obtaining, from a plurality of acoustic sensors provided on an inner surface of a bumper of the apparatus, a combined acoustic signal, the combined acoustic signal being based on an input signal provided to the plurality of acoustic sensors, determining, using a trained machine learning model that has been trained with acoustic signals and corresponding position and intensity information of impacts on a plurality of regions of an outer surface of the bumper, the region of the contact on the bumper with respect to the plurality of regions and the intensity of the contact, based on the combined acoustic signal, and determining a motion of the apparatus based on the region of the contact, the intensity of the contact, and an operating mode of the apparatus.

Abstract: One or more aspects of the technical solutions described herein facilitate using transdermal infrared optics to discover infraspectral markers. The infraspectral markers can predict presence/absence of one or more physiological state in a subject. One or more aspects of the technical solutions described herein further facilitate continuous monitoring and prediction of trends of a physiological state of a subject using non-invasive transdermal infrared optics. Further, one or more aspects of the technical solutions described herein facilitate personalized triage of and alerts for a subject based on continuous monitoring of non-invasive transdermal optical infraspectral markers.

Abstract: A network node is adapted to wirelessly receive content data from remote wireless devices if they have been provisioned to the network node via provisioning data. The network node includes a memory for storing first provisioning data, a transceiver adapted to transmit a portion of the first provisioning data for receipt and storage by a second node, receive a portion of second provisioning data stored in the second node, communicate with a remote cloud based source of provisioning data, transmit content data communicated to the first node by a wireless device to a remote data store, and a programmable processor. The processor determines whether a detected device has or has not been formerly provisioned with the first node. If the detected device has not been formerly provisioned with the first node, and if provisioning data for the detected device is not available in the first or the second provisioning data, provisioning data for the detected device is obtained from the remote cloud based source.

Abstract: A system for use in video game development to generate expressive speech audio comprises a user interface configured to receive user-input text data and a user selection of a speech style. The system includes a machine-learned synthesizer comprising a text encoder, a speech style encoder and a decoder. The machine-learned synthesizer is configured to generate one or more text encodings derived from the user-input text data, using the text encoder of the machine-learned synthesizer; generate a speech style encoding by processing a set of speech style features associated with the selected speech style using the speech style encoder of the machine-learned synthesizer; combine the one or more text encodings and the speech style encoding to generate one or more combined encodings; and decode the one or more combined encodings with the decoder of the machine-learned synthesizer to generate predicted acoustic features.

Abstract: An integrated energy management unit includes a housing defining a housing cavity, an accumulator-separator positioned within the housing cavity, an ejector positioned within the housing cavity and in communication with the accumulator-separator, and an internal heat exchanger positioned within the housing cavity and in fluid communication with the accumulator-separator.

Abstract: Methods, systems, and devices for data management are described. A system supporting malware detection may obtain event data such as risk scores corresponding to events associated with a set of computing entities. Using the event data, the system may construct a graph that includes nodes that represent the set of computing entities, and edges that represent the events, where the edges are between initiator and affected nodes and are associated with the respective event risk scores. Using the graph, respective node risk scores may be calculated for at least some nodes of the graph, and one or more anomalous nodes may be identified based on the one or more anomalous nodes having respective node risk scores that satisfy a threshold. The system may then output an indication of one or more computing entities corresponding to the one or more anomalous nodes.

Abstract: The present subject matter provides a method for de-noising an audio visual speech. The method includes modeling a noise in the audio visual speech using a noisy speech from audio data associated with the audio visual speech to generate a reconstructed noise signal. The method includes estimating the reconstructed noise signal in the audio visual speech using an audio signal and a plurality of visual frames. The method includes partitioning the reconstructed noise signal into a plurality of windows and calculate an energy associated with each window. The method includes estimating a noise strength in each window by performing a soft max operation to obtain one or more refined audio features. The method includes fusing the one or more refined audio features and one or more visual features using the noise strength to generate an output that is passed through a decoder to obtain a de-noised audio visual speech.

Abstract: Systems and methods for continuous measurement of an analyte in a host are provided. The system generally includes a continuous analyte sensor configured to continuously measure a concentration of analyte in a host and a sensor electronics module physically connected to the continuous analyte sensor during sensor use, wherein the sensor electronics module is further configured to directly wirelessly communicate sensor information to one or more display devices. Establishment of communication between devices can involve using a unique identifier associated with the sensor electronics module to authenticate communication. Times tracked at the sensor electronics module and the display module can be at different resolutions, and the different resolutions can be translated to facilitate communication. In addition, the frequency of establishing communication channels between the sensor electronics module and the display devices can vary depending upon whether reference calibration information is being updated.

Abstract: A method for selecting a non-terrestrial network (NTN) cell by a user equipment (UE) is provided. The method includes receiving one or more system parameters from a serving NTN cell and a plurality of NTN neighbor cells, determining trajectory information associated with the plurality of NTN neighbor cells based on the one or more received system parameters, and selecting the NTN cell among the plurality of NTN neighbor cells to perform at least one of a cell reselection and a conditional hand over (CHO) based on the determined trajectory information associated with the plurality of NTN neighbor cells.

Abstract: Sleep conditions such as sleep apnea can be assessed using a multi-night assessments. A respiration signal (e.g., acquired from a sensor strip) can be processed via a computing device. The respiration signal can be segmented and the segments can be classified to identify one or more apnea/hypopnea events. In some examples, some of the segments can be normalized such that each segment input for classification can be of the same size. The identified one or more apnea/hypopnea events can be used to estimate a nightly parameter indicative of a severity of (or presence of) sleep apnea. The nightly parameters from a multi-night period can be used to estimate a multi-night parameter indicative of the severity of (or presence of) sleep apnea. In some examples, quality checks can be performed to filter out some data (e.g., to exclude data from entire nights or exclude a portion of data from individual nights).

Abstract: The communication network system according to the present disclosure comprises: a life cycle manager (LCM) that transmits a request for virtual network function (VNF) setting to one or more clouds; and a cloud adapter that mediates communication between the LCM and the cloud to which the request is addressed, The cloud adapter creates, based on a response to the request from the cloud to which the request is addressed, a common-format management ID independent of the type of the cloud to which the request is addressed, and transmits the management ID to the LCM. The LCM may transmit a query regarding a processing status of the request to the cloud adapter, including the management ID. The cloud adapter may recognize the cloud to which the query is addressed on the basis of the management ID and query the cloud to which the query is addressed such that the cloud returns the processing status.

Abstract: A gateway has a transceiver for communicating with Bluetooth vitals devices (BVDs) and a processor and program instructions. The gateway receives and stores pairing keys from one or more of the BVDs for provisioning the BVDs to the gateway, receives vital sign information from the BVDs, stores the pairing keys in a remote trusted server, and communicates with other gateways in the environment. The gateway also retrieves pairing keys for unprovisioned BVDs from either another gateway or the remote trusted server, and creates a remote private network for secure communications among two or more of the gateway, the remote server, an electronic health records store, caregivers, physicians, or a personalized data service.

Abstract: The invention provides computer-implemented methods for publishing an event to at least one stream and data processing apparatuses, computer programs, and computer readable storage media for achieving the same. Publishing an event to at least one stream comprises receiving an operation to be performed on a domain table, performing the operation on the domain table, populating an event log table with event data, and publishing an event to a target stream.

Abstract: A heart valve prosthesis includes a self-expanding frame adapted to radially collapse for advancement through a patient's vasculature. A first anchoring feature is shaped for placement on an atrial side of a native heart valve annulus. The first anchoring feature extends radially outwardly and then curves upwardly along the perimeter. A second anchoring feature extends from an outlet end portion of the frame for capturing native leaflets. A valve body is positioned within an interior of the frame. Elongate longitudinal struts extend distally beyond the distal end portion of the frame for securing the valve body to the frame. Elongate tips with enlarged ends extend from an inlet end portion of the frame for engagement with a delivery device.

Abstract: A message routing system is disclosed. The message routing system comprises a message routing module, a routing configuration module configured to provide a routing configuration for one or more content messages, a first binder module configured to connect a first data streaming application to the message routing module using one or more channels, and a second binder module configured to connect a second data streaming application to the message routing module using one or more channels. The message routing module is configured to receive a content message from a data streaming application and a corresponding routing configuration for the content message from the routing configuration module, and route the content message according to the corresponding routing configuration using a stream bridge interface.

Abstract: One or more systems, devices, computer-implemented methods and/or computer program products of use provided herein relate to artificial intelligence (AI) to generate labor and delivery-based predictions. A system can comprise a processor that can execute computer-executable components stored in memory, wherein the computer-executable components can comprise a first AI model that can generate first data comprising one or more labor and delivery predictions applicable to one or more fetuses and a mother of the one or more fetuses, during labor, by analyzing second data comprising cardiotocography (CTG) analysis data of the one or more fetuses and the mother generated by a second AI model and third data comprising maternal health analysis data of the mother generated by a third AI model, wherein the first AI model can be a multistage AI model comprising respective models directed to predicting respective ones of the one or more labor and delivery predictions.