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 are disclosed for generating interactive user interfaces for evaluating transactions of an organization. For example, a system can be configured to receive transactions for an organization and determine a first subset of the transactions during a trip at a first location that is different from a home location of a consumer. A respective transaction associated with a second location that occurred during the trip is identified. The respective transaction is assigned to the first subset of the of transactions for the trip. A second subset of the transactions of a spending type is determined. A parameter value associated with the spending type is identified. A parameter adjustment is determined. The system is configured to cause a display of a spending type user interface on a client device and receive a selection of a parameter component.

Abstract: A technique monitors input/output (I/O) and storage ownership takeover activity patterns to detect degraded performance of a highly available and fault tolerant application executing in a multi-site environment. Multiple instances of the application execute in different containers or pods running on virtual machines (VMs) of a compute layer within a containerized (e.g., Kubernetes) clustering configuration that extends across clusters of the sites. A storage layer of the clusters provides shared storage to the pods running on the 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.

Abstract: A computer implemented method is provided. A number of processor units identify a number of candidate applications for processing requests based on types of application programming interface for each application. The number of processor units validate metadata related to status of applications for each application in the number of candidate applications. The number of processor units select a subgroup of applications from the number of candidate applications to process requests based on the validated metadata.

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: Certain aspects of the disclosure provide a method of providing an interactive user support interface, the method comprising receiving a communication with a support request for an application. The method further comprising determining, based on the communication, an account associated with the application and determining, based on the account, that the user is an active session in to the application. The method further comprising determining support content responsive to the support request and causing the support content to be displayed within the application based on the determination that the user is an active session in to the application.

Abstract: System and method for terminating instances and autoscaling instance groups of computing platforms. For example, a method includes determining whether an instance of an instance group is identified as eligible for termination. The method further includes, in response to determining that the instance of the instance group is identified as eligible for termination, terminating the eligible instance. The terminating the eligible instance includes, in response to a runtime of the eligible instance being equal to or larger than a predetermined maximum lifetime, terminating the eligible instance.

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.