Abstract: A technique monitors input/output (I/O) and Persistent Reservation (PR) activity patterns to detect degraded performance of a highly available and fault tolerant application executing in a multi-site disaster recovery (DR) environment. Multiple instances of the application execute in different virtual machines (VMs) of a compute layer within a guest clustering configuration that extends across clusters of the sites. A storage layer of the clusters provides shared storage to the multiple VMs across the multiple sites. One of the sites is configured as an active storage site configured to receive and service I/O requests from the compute layer. A single instance of the application is active at a time and configured as a “compute owner” of the shared storage to issue the I/O requests to the shared storage. The compute owner and active storage site may not be co-located on the same site, leading to excessive I/O and PR activity patterns indicative of degraded performance.

Abstract: Systems, methods, and machine-storage mediums for optimizing snapshot image processing are described. The system receives a first read request to read data from optimized snapshot information including snapshot information and cached snapshot information. The first read request includes a first offset identifying a first storage location and a first length. The snapshot information includes a full snapshot and at least one incremental snapshot. The system identifies a first portion of the data is stored in the snapshot information responsive to identifying the first portion of the data is not stored in the cache snapshot information. The system identifies a second portion of data is stored in the optimized snapshot information, reads the first portion of data and the second portion of data from the optimized snapshot information, and communicates the data, including the first and second portions of the data, to the job.

Abstract: The systems and methods described herein provide a means for obtaining an accurate localization of static/mobile portable devices with respect to static/mobile infrastructure. A real-world environment presents unique challenges when localizing a given portable tag. Measurement of various geometric properties such as distance and/or angle to given infrastructure sensor is often erroneous due to process phasing of main paths and superimposition with various multipath reflected signals. These errors are not known beforehand and vary per environmental conditions. Therefore, performing localization in such scenarios is non-trivial. The systems and methods described herein will highlight several methods and possible algorithm process flows to improve performance.

Abstract: Various embodiments are generally directed to network slice selector (NSS). In one embodiment, for example, an evolved node B (cNB) may include a processor circuit, and an NSS for execution by the processor circuit to allocate a network slice (NS) to a user equipment (UE). The NS may comprise one or more virtual network function(s) (VNF). In one implementation, a VNF takes on the responsibility of handing specific network functions run on one or more virtual machines (VM) associated with hardware networking infrastructures, such as routers, switches, etc. Individual VNFs may be combined or connected together to provide a complete networking communication service for UEs. Other embodiments are described and claimed.

Abstract: Systems, apparatuses, methods, and computer-readable media are provided for a user equipment (UE) of a wireless communication system. The UE includes a processor circuitry, and radio front end circuitry coupled to the processor circuitry. The processor circuitry is configured to determine and indicate, to a core network via a radio access network (RAN), one or more cellular internet of things (CIoT) features that are required by the UE and CIoT network behavior expected from the core network to support the one or more CIoT features that are required by the UE. The processor circuitry is configured to select either an enhanced packet core (EPC) or a 5G core (5GC) to establish a wireless connection with the core network, based on a first set of CIoT features supported by the EPC and a second set of CIoT features supported by the 5GC received from the core network.

Abstract: Systems and methods relate to in-vehicle sensing and classification via frequency modulated continuous wave (FMCW) radar. Radar reflection signals are received based on the radar transmission signals, and include a plurality of chirps across a plurality of frames. Range-FFT data is generated by performing a fast Fourier transform (FFT) on each chirp of a particular frame. Doppler-FFT data is generated by performing the FFT on the range-FFT data. Point cloud data of a radar subject is generated using the Doppler-FFT data. Doppler features, including a velocity of the radar subject, are extracted from the Doppler-FFT data. Classification data is generated to indicate a sensing state inside a vehicle based on the point cloud data and the Doppler features. The classification data includes class data that classifies the radar subject. A system response is generated to provide an action concerning the sensing state inside the vehicle based on the classification data.

Abstract: Systems and methods for detecting symptoms of occupant illness is disclosed herein. In embodiments, a storage is configured to maintain a visualization application and data from one or more sources, such as an image source. A processor is in communication with the storage and a user interface. The processor is programmed to receive data from the one or more sources, execute human-detection models based on the received data, execute activity-recognition models to recognize symptoms of illness based on the data from the one or more sources, determine a location of the recognized symptoms, and execute a visualization application to display information in the user interface. The visualization application can show a background image with an overlaid image that includes an indicator for each location of recognized symptom of illness. Additionally, data from the audio source, image source, and/or radar source can be fused.

Abstract: In one embodiment a mobile device includes a long-range transceiver, a medium-range transceiver, and a controller. The controller is configured to receive, from the long-range transceiver, a target ID associated with a remote medium-range transceiver of a remote system, transmit, via the long-range transceiver, an ID, channel, and band of the medium-range transceiver of the remote system, receive packets from the remote medium-range transceiver on the channel, extract received signal strength indicator (RSSI) data from the packets, filter the RSSI data to obtain a maximum RSSI signal within a window of time, in response to the maximum RSSI signal exceeding a threshold, output a signal indictive of the remote system being less than a predetermined distance away.

Abstract: In one embodiment, a system for a vehicle includes a radio frequency (RF) transceiver having an identification (ID), and a processor coupled with the RF transceiver. The processor is configured to receive a request, via a first wireless connection, for the vehicle to travel to a location, in response to the vehicle being less than a predetermined distance from the location, receive RF packets, via a second wireless connection, from a target at the location, identify packets based on the ID of the RF transceiver, extract received signal strength indicator (RSSI) data from received signals associated with the identified packets, filter the RSSI data to obtain a maximum RSSI signal within a window of time, and in response to the maximum RSSI signal exceeding a threshold, output a signal indictive of the target being less than a predetermined distance from the vehicle.

Abstract: Aspects of the present disclosure relate to modularizing and embedding modules across a variety of web applications. More specifically, the present disclosure provides an adaptive UI module to web application servers that adapts its format upon evaluating an environment of the web application and receiving a user request for supplemental information. For example, a single adaptive UI module may be used across a variety of web applications, with a variety of requests for supplemental content from within each web application, to generate multiple, unique formatted UI modules. In this way, a single adaptive UI module may generate formatted UI modules specific to the formatting requirements of each requesting web application, with supplemental content related to each unique user request from within each web application.

Abstract: A system and method is disclosed for determining a particular vehicle state based on a UWB signal received at a plurality of receiving nodes. A plurality of channel-impulse responses (CIRs) may be computed from the UWB signal received from the plurality of receiving nodes. A plurality of peak-based features based on a selected position and amplitude may be extracted from the plurality of CIRs. A plurality of correlation-based features may be generated by correlating the plurality of CIRs to a corpus of reference CIRs relating to a plurality of vehicle states. A plurality of maximum likelihood vehicle matrices may be generated by correlating the plurality of CIRs to the corpus of reference CIRs relating to the plurality of vehicle states. The vehicle state may then be determined by processing the plurality of peak-based features and correlation-based features using the machine learning classification algorithm.

Abstract: Systems and methods for detecting symptoms of occupant illness is disclosed herein. In embodiments, a storage is configured to maintain a visualization application and data from one or more sources, such as an audio source, an image source, and/or a radar source. A processor is in communication with the storage and a user interface. The processor is programmed to receive data from the one or more sources, execute human-detection models based on the received data, execute activity-recognition models to recognize symptoms of illness based on the data from the one or more sources, determine a location of the recognized symptoms, and execute a visualization application to display information in the user interface. The visualization application can show a background image with an overlaid image that includes an indicator for each location of recognized symptom of illness. Additionally, data from the audio source, image source, and/or radar source can be fused.

Abstract: Device fingerprinting is provided for ultra-wide band (UWB) communications. A wireless receiver receives wireless signals including an UWB packet sent from a transmitter. Channel impulse response (CIR) data is extracted from the UWB packet. A device fingerprint of the transmitter is created according to the CIR data, the device fingerprint being representative of physical properties of the wireless signals of the UWB packet. The transmitter is authenticated by the receiver based on the device fingerprint.

Abstract: A system and method is disclosed for determining a particular vehicle state based on a UWB signal received at a plurality of receiving nodes. A plurality of channel-impulse responses (CIRs) may be computed from the UWB signal received from the plurality of receiving nodes. A plurality of peak-based features based on a selected position and amplitude may be extracted from the plurality of CIRs. A plurality of correlation-based features may be generated by correlating the plurality of CIRs to a corpus of reference CIRs relating to a plurality of vehicle states. A plurality of maximum likelihood vehicle matrices may be generated by correlating the plurality of CIRs to the corpus of reference CIRs relating to the plurality of vehicle states. The vehicle state may then be determined by processing the plurality of peak-based features and correlation-based features using the machine learning classification algorithm.

Abstract: A method relates to managing communications among a set of system nodes. The set of system nodes is configured to sense a predetermined region. The method includes establishing, via a processor, a schedule that includes a communication timeslot and a sensing timeslot, which are non-overlapping. A first system node or a second system node is operable to transmit a first message wirelessly during the communication timeslot. The second system node is operable to transmit a radar transmission signal during the sensing timeslot. The second system node is operable to receive a radar reflection signal during the sensing timeslot. The radar reflection signal is based on the radar transmission signal. The first system node or the second system node is operable to transmit a second message wirelessly during the sensing timeslot. The method includes determining channel state data of the second message via a subset of the set of system nodes during the sensing timeslot.

Abstract: The present invention relates to a pharmaceutical composition comprising Varenicline or its pharmaceutically acceptable salt with reduced amount of nitrosamine impurity and a process for preparing the same.

Abstract: Systems, methods, and machine-storage mediums for optimizing snapshot image processing are described. The system receives a first read request to read data from optimized snapshot information including snapshot information and cached snapshot information. The first read request includes a first offset identifying a first storage location and a first length. The snapshot information includes a full snapshot and at least one incremental snapshot. The system identifies a first portion of the data is stored in the snapshot information responsive to identifying the first portion of the data is not stored in the cache snapshot information. The system identifies a second portion of data is stored in the optimized snapshot information, reads the first portion of data and the second portion of data from the optimized snapshot information, and communicates the data, including the first and second portions of the data, to the job.

Abstract: Embodiments of a backscatter communication system and methods of using the system are disclosed. The system may comprise a backscatter node, comprising: an antenna circuit; and a wake-up circuit coupled to the antenna circuit. The wake-up circuit may be configured to, using pattern correlation, identify at least one predefined waveform within a radio frequency signal and in response to the identification, enable a receiver circuit.

Abstract: Embodiments of a backscatter communication system and methods of using the system are disclosed. The system may comprise a first short-range wireless communication (SRWC) device, a second SRWC device, and a backscatter node. The first SRWC may comprise a processor and memory storing a plurality of instructions executable by the processor, the plurality of instructions comprising, to: determine a first and second sets of link parameters for a radio frequency (RF) signal; determine a selected set of link parameters for backscatter communication, wherein the selected set of link parameters is one of the first or second sets of link parameters; share the selected set of link parameters with a second SRWC device; and following backscatter communication using the selected set of link parameters via the RF signal, iteratively update the first and second sets of link parameters and correspondingly iteratively re-determine, share, and update the selected set of link parameters.

Abstract: An assembly line includes a conveyor belt and an energy charging system. The energy charging system includes (i) a resonator having a TX resonator disposed along the conveyor belt and a RX resonator mounted on and transported by the conveyor belt, (ii) an impedance matching network in communication with the resonator, (iii) and an energy storage device in communication with at least one of the resonator and the impedance matching network. Vmin is a minimum voltage of the energy storage device, and Vcap is a voltage across the energy storage device measured in real time. Energy is transferred from the TX resonator to the RX resonator when the Vcap is less than Vmin of the energy storage device.