Abstract: Provided herein are systems and methods for synchronizing clocks and determining a range distance between two clocks using one or more timing signals that are communicated between the clocks. The determination can be made to also account for movement between the clocks such as if the clocks are converging (i.e., the distance between them is decreasing over time) or diverging (i., the distance between the clocks is increasing over time.) The systems and methods can utilize timing signals transmitted between two clocks that are synchronizing with another using the precision time protocol. In order to account for the increasing or decreasing distance between the clocks, the systems and methods can utilize Doppler shift data taken between the clocks to apply a correction factor to the timing signals. The timing signals and correction factor can be utilized to also determine a range distance between the clocks.

Abstract: A system for reducing data collection burden, comprising: one or more programs including instructions for: receiving a first set of metrics for a plurality of facilities; receiving data associated with the first set of metrics from one or more facilities of the plurality of facilities; determining one or more anomalies in the received data; removing the determined one or more anomalies from the received data; selecting a second set of metrics from the first set of metrics, wherein a number of metrics of the second set is less than a number of metrics of the first set of metrics; and outputting a recommendation applicable to the plurality of facilities based on the second set of metrics.

Abstract: A method for controlling a qubit encoded in an atom-like defect in a solid-state host may comprise applying an electrical signal to a piezoelectric cantilever that is mechanically coupled to a photonic waveguide comprising one or more embedded point defect sites. The photonic waveguide may be optically coupled to a photonic chip. Applying the electrical signal to the piezoelectric cantilever may induce movement in the piezoelectric cantilever, which may induce a strain in the photonic waveguide. The applied electrical signal may be determined by a defect site with excitation light, measuring a frequency of a photon emitted by the excited defect site, determining a frequency shift based on the measured frequency of the emitted photon, and determining the electrical signal to be applied to the piezoelectric cantilever based on the frequency shift.

Abstract: Provided herein is a photonic modulator and methods for controlling a photonic modulator that can control the phase and/or amplitude of photons being transmitted through the modulator to minimize photonic loss while remaining power efficient and operating at high speeds. The photonic modulator can include a substrate with a pair of piezoelectric cantilevers spaced apart from one another by a gap, with a photonic waveguide disposed in the substrate that extends across the modulator and bridges the gap between the piezoelectric cantilevers. In one or more examples, the piezoelectric cantilevers can be configured to move away from the substrate in response to an electrical signal, such that a refractive index of the photonic waveguide is altered.

Abstract: Disclosed herein are system, method, and computer program product embodiments for instantiating virtual network functions (VNFs). In some embodiments, a computer network infrastructure device comprises a purpose-built router (e.g., a packet routing and forwarding device) and a virtual machine host. The virtual machine host instantiates VNFs and identifies a first function to be executed on the data packet based on an attribute associated with the data packet. Moreover, the virtual machine host identifies a first VNF from the VNFs that are instantiated based on a first function type executed by the first VNF and the first function to be executed on the data packet. The virtual machine host coordinates the first VNF to execute a first function on the data packet. The first VNF outputs a resultant data packet in response to executing the first function on the data packet.

Abstract: Disclosed herein are embodiments of photonic crystals implanted into polymers to create durable, flexible structures that can respond to a series of external stimuli for sensing applications. Also disclosed are method embodiments of fabricating such photonic crystals.

Abstract: Described herein are systems and methods for generating digital models for systems of systems. In one or more examples, an end to end (E2E) model of the system of systems can be generated based on information regarding mission metrics and mission threads of the systems within the system of systems, as well as systems and connectivity information. In one or more examples, a user input is received indicating the analysis that is desired to be performed on the system of systems. Based on the received user inputs, in one or more examples, a portion of the E2E system of systems model is selected and copied to form a separate digital model that represents the portion of the system of systems implicated by the user inputs. In one or more examples, the systems and methods add additional information and metrics to the digital model of the portion of the system of systems.

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.