Abstract: Examples in accordance with this disclosure provide a system for detecting a spoofed signal, the spoofed signal comprising position-navigation-timing (PNT) data. The system can include a first antenna and a second antenna, both configured to receive one or more first signals from one or more navigation satellites. The first antenna and second antenna can be configured to be separated by a first distance. The system can include a first receiver coupled to the first antenna and a second receiver coupled to the second antenna, where each antenna is configured to receive one or more signals from the respective antenna. Each of the first receiver and the second receiver are configured to extract a respective carrier phase data.

Abstract: The present disclosure is directed to providing pilots with timely information to allow for better decision making and improved safety during the piloting of a flight. The systems and methods described herein can employ a collection of algorithms that can take disparate information, process it, and synthesize it into meaningful information for a pilot, flight crew, other flight systems, and/or other algorithms to consume.

Abstract: A method for generating a complete quantum circuit from a text-based quantum algorithm comprises receiving a text-based quantum algorithm comprising a first state vector and a second state vector, generating a first syntax tree based on the first state vector and a second syntax tree based on the second state vector, generating transition information characterizing a transition from the first state to the second state, selecting, based on the generated transition information, a type of transition that characterizes the transition from the first quantum state to the second quantum state, and generating a complete quantum circuit which indicates the first quantum state characterized by the first state vector, the selected type of transition, and the second quantum state characterized by the second state vector.

Abstract: Provided are systems, methods, and devices for identifying correct satellite signals to improve the accuracy of a satellite navigation system. In some embodiments, identifying correct satellite signals may include receiving a plurality of satellite signals; demodulating the satellite signals to extract a first plurality of parameters; determining a first subset of parameters from the first plurality of parameters, wherein the first subset of parameters is based on a first geographic location; determining a second subset of parameters from a second plurality of parameters outside the first subset, the second plurality of parameters comprising one or more parameters of the first plurality of parameters outside the first subset, wherein the second subset of parameters is based on a second geographic location; and identifying an exemplary subset from the first subset and the second subset, wherein the exemplary subset comprises parameters corresponding to correct satellite signals.

Abstract: Described are methods, systems, and computer-program product embodiments for selecting a face image based on a name. In some embodiments, a method includes receiving the name. Based on the name, a name vector is selected from a plurality of name vectors in a dataset that maps a plurality of names to a plurality of corresponding name vectors in a vector space, where each name vector includes representations associated with a plurality of words associated with each name. A plurality of face vectors corresponding to a plurality of face images is received. A face vector is selected from the plurality of face vectors based on a plurality of similarity scores calculated for the plurality of corresponding face vectors, where for each name vector, a similarity score is calculated based on the name vector and each face vector. The face image is output based on the selected face vector.

Abstract: Described herein are systems and methods for grouping computing devices in a computing network and predicting future communications links between computing devices for the purpose of developing a computing network microsegmentation policy. In one or more examples, the systems and methods described herein can predict future links in a computing network using a plurality of combinations of node similarity, node grouping, and link prediction methods. Each unique combination of methods can be assessed by comparing the predicted links to observed network traffic to determine the quality of the prediction. The quality of prediction can be assessed by generate F1 curves for each combination of methods. The combination with the highest quality prediction can then be selected and tuned (by adjusting a threshold associated with the combination). Once tuned, the selected combination (i.e., model) can then be used generate and/or modify a microsegmentation policy associated with the computing network.

Abstract: An apparatus that performs spoof detection of satellite signals based on clock information derived from the satellite signals. The apparatus may include a position, velocity, time (PVT) component that derives the clock information from the satellite signals and provides the clock information to a spoof detection mechanism. In some embodiments, the clock frequency estimate is modeled as a Wiener process.

Abstract: Predefined patterns are detected in streaming data being transmitted in a distributed computing system that contains a plurality of computing devices wherein the plurality of computing devices are collectively configured to execute a distributed software program. In one or more examples, a detection engine can be implemented on a computing device and can be configured to receive streaming data that is being transmitted between computing devices of the system. The detection engine can be further configured to analyze the streaming data to determine if the data matches one or more patterns that is specified by a watch point which can be converted into a happened before language expression. In one or more examples, the streaming data can be converted into an intermediate log file that is compared against patterns expressed by a regular expression and if a match is found, an alert can be generated.

Abstract: Systems and methods for estimating magnetic susceptibility of a patient through continuous motion in an MRI scanner are provided herein. In one or more examples, during the collection of data, the patient can be instructed to move their head or other part of the body in a continuous manner and for a fixed duration of time. During the fixed duration of time, magnitude a data from the RF signal can be received by one or more RF coils can be collected. The received and undersampled magnitude data can be converted to phase data which can then be converted to magnetic susceptibility. Thus magnetic susceptibility can be determined while allowing for continuous motion during the MRI scan, which can be more comfortable and feasible for the patient in contrast to techniques that require the patient to hold their body at a particular orientation in the scanner for a fixed duration of time.

Abstract: A low profile phased array antenna that is configured to be manufactured using additive manufacturing techniques is provided. In one or more embodiments, the phased array can include a plurality of signal ears, ground ears, and clustered pillars that can be arranged in relation to a base plate such that each component of the antenna can be manufactured from a single piece of material, thereby allowing for the use of additive manufacturing techniques which can substantially reduce the cost and time of the manufacturing process. The phased array can include a signal ear that include one or more posts that interface with an airgap located within a base plate of the array, wherein the size of the airgap in relation to the size of the post is configured to achieve an optimal level of impedance matching.

Abstract: A system for automatically locking a control laser in a Rydberg atomic sensor may comprise an atomic vapor cell, a probe laser configured to excite the atoms in the atomic vapor cell to an intermediate energy state, and a control laser configured to excite the one or more atoms in the atomic vapor cell from the intermediate energy state to a higher energy state. The light generated by the control laser may be dithered at a pre-determined frequency. The system further comprises a photodiode configured to convert light received from the vapor cell into an electrical signal, a lock-in amplifier configured to generate an error signal based on the electrical signal received from the photo diode and a received reference oscillation frequency, and a servo configured to receive the generated error signal from the lock-in amplifier and adjust a frequency of the control laser based on the received error signal.

Abstract: Described herein are systems and methods for generating multi-class machine learning classifiers using a plurality of hyper-trained binary classifiers to perform both characteristic detection and object type classification. A range associated with a characteristic of the data sought to be classified may be divided into a plurality of sub-ranges that can be ordered. A plurality of binary machine learning classifiers can be generated, with each binary classifier associated with one of the sub-ranges. Each binary classifier of the plurality of classifiers may be generated by training the classifier to determine if a given input data set contains a characteristic within or outside of the sub-range associated with the binary classifier. Once the binary classifiers have been trained, they can be used to determine what value within the range of the characteristic an input data sample has, and may be used to determine other properties about the input data.

Abstract: Presented herein are systems and methods for identifying and disambiguating individual objects of interest from a data set. In one or more examples, image data can be received and processed to identify candidate images that may contain one or more objects of interest. The candidate image data can then be processed to segment potential objects of interest from the candidate images. The segmented potential objects of interest can then be processed via one or more analytics to determine whether each potential objects of interest is an object of interest, to determine an object type, and/or to disambiguate specific objects of interest.

Abstract: Presented herein are systems and methods for generating synthetic training data for machine learning models. Images of a particular object (such as an aircraft) can be received and processed to cutout the object (i.e., separate the object from the background) from the received image. The systems and methods described herein can detect areas in the background images to place an object. Once a suitable area has been detected, the cutout object image can be superimposed on the background image at the location determined to be suitable for placing the object. Superimposing the object onto the background image can include blending the two images using a plurality of blending techniques to reduce artifacts that may bias a supervised training process.

Abstract: Provided is a method for predicting a PTSD diagnosis in a patient comprising receiving audio input data from a patient; determining one or more audio input indicators based on the audio input data, wherein each audio input indicator of the one or more audio input indicators represents a likelihood of a positive PTSD diagnosis based on the audio input data; receiving clinical assessment data from the patient; determining one or more clinical assessment indicators based on the clinical assessment data, wherein each clinical assessment indicator of the one or more clinical assessment indicators represents a likelihood of a positive PTSD diagnosis based on the clinical assessment data; combining the one or more audio input indicators and the one or more clinical assessment indicators using a prediction model chosen by a clinician; and determining a PTSD diagnosis in the patient based on the audio input data and the clinical assessment data.

Abstract: Described herein are systems and methods for generating a cyber-deception strategy that adaptively implement a decoy file placement strategy for thwarting malicious activity on a computing network. The systems and methods can include a plurality of surveillance services that can monitor the evolving conditions and states of a target computing network. The information from the external surveillance services can be combined with one or more user defined parameters to serve as inputs to a system that can use the input data to generate a decoy file content and placement strategy so as to effect a cyber-deception strategy. In one or more examples, can identify one or more target objects to use as decoys and use the identified targeted objects as well as information about the target network, to generate a high-level guidelines that will be used to generate one or more deception plans for implementation on the target network.

Abstract: Systems and techniques by which a navigation system provides directional information for vehicular travel that is customized based upon real-time conditions, a safety profile associated with a vehicle driver, and the safety assessment associated with the characteristics of road segments are disclosed. In one implementation, a method for a personalized vehicular navigation assessed dynamically based on risk tolerance includes retrieving data indicative of accident history associated with at least one of the road segments, retrieving data indicative of real-time condition of the road segments, and retrieving a user profile associated with the user. The method further includes calculating risk scores, based on the accident history and the real-time conditions and weighed based on tolerance level and the driver's history, associated with a plurality of proposed routes, identifying a personalized route based on the risk scores, and transmitting the identified personalized route to a device.

Abstract: Disclosed herein are system, method, and computer program product embodiments for utilizing parallel links to improve sub-network availability and latency performance for ATC traffic. An embodiment operates by receiving a generated message. The type of the generated message is determined, where the type is an air traffic control message or a non-air traffic control message. Based on the type of message, communication links are selected, where the communication links include parallel transmission links or a serial link. The method continues by copying the generated message and transmitting the copied message using the selected communication links. The method waits to receive an acknowledgement indicating receipt of the transmitted message. Upon identifying an acknowledgement, any of the copied messages not yet retransmitted are deleted.

Abstract: Disclosed herein are systems and methods for processing an audio file to perform audio Segmentation and Speaker Role Identification (SRID) by training low level classifier and high level clustering components to separate and identify audio from different sources in an audio file by unifying audio separation and automatic speech recognition (ASR) techniques in a single system. Segmentation and SRID can include separating audio in an audio file into one or more segments, based on a determination of the identity of the speaker, category of the speaker, or source of audio in the segment. In one or more examples, the disclosed systems and methods use machine learning and artificial intelligence technology to determine the source of segments of audio using a combination of acoustic and language information. In some examples, the acoustic and language information is used to classify audio in each frame and cluster the audio into segments.

Abstract: A low profile phased array antenna that is configured to be manufactured using additive manufacturing techniques is provided. In one or more embodiments, the phased array can include a plurality of signal ears, ground ears, and clustered pillars that can be arranged in relation to a base plate such that each component of the antenna can be manufactured from a single piece of material, thereby allowing for the use of additive manufacturing techniques which can substantially reduce the cost and time of the manufacturing process. The phased array can include a signal ear that include one or more posts that interface with an airgap located within a base plate of the array, wherein the size of the airgap in relation to the size of the post is configured to achieve an optimal level of impedance matching.