Abstract: The present invention relates to a stable pharmaceutical composition of therapeutically active agent, wherein the amount of nitrosamine impurity is below the FDA acceptable intake limit for shelf life of the pharmaceutical composition and a process for preparing the same.

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: 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: 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: Configuring and utilizing a body area network (BAN) is provided. In a configuration phase, configuration messages are sent for scheduling a plurality of transmit-only devices such that during a data collection phase each of the plurality of transmit-only devices is configured to transmit in an individually-assigned time slot. In the data collection phase, a data collector device receives, from the plurality of transmit-only devices, sensor data messages including sensor data from the transmit-only devices, the sensor data messages being scheduled according to the configuration phase.

Abstract: Configuring and utilizing a body area network (BAN) is provided. In a configuration phase, configuration messages are sent for scheduling a plurality of backscatter devices such that during a data collection phase each of the plurality of backscatter devices is configured to transmit in an individually-assigned time slot. In the data collection phase, a data collector device receives, from the plurality of backscatter devices, sensor data messages including sensor data from the backscatter devices, the sensor data messages being scheduled according to the configuration phase.

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: Methods and systems for estimating vital signs of vehicle occupants using Ultra-Wideband communication. UWB signals are transmitted from one UWB system node to another UWB system node. Channel impulse responses (CIRs) associated with the UWB signals are determined. Based on the CIRs, in some embodiments velocities associated with the UWB signals are determined, and activities of vehicle occupants are classified based on the CIRs along with vital signs such as breathing rates. In other embodiments, based on the CIRs, phase unwrapping of phase features associated with the CIRs is performed, and principle component analysis (PCA) transforms the CIRs, allowing estimated vital signs such as breathing rates to be determined.

Abstract: Occupancy sensing using ultra-wideband (UWB) keyless infrastructure is provided. Channel impulse response (CIR) measurements are received from a plurality of UWB transceiver nodes arranged about a plurality of locations. A classification model it utilized to predict occupancy of each of the plurality of locations based on CIR tensors formed from the CIR measurements for each of the UWB transceiver nodes.

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: 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: 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.