Abstract: In one embodiment, a secure exchange system is described. The secure exchange system includes a virtual private cloud network and a controller. The virtual private cloud network includes a plurality of gateways, each gateway of the plurality of gateways is configured to generate one or more local directories. Each local directory of the one or more local directories representing one or more stored objects within a public cloud storage element. The controller is configured to authenticate a user prior to granting the user access to the virtual private cloud network. The gateways are accessible by the user over AWS Direct Connect, where the public cloud storage element is a S3 bucket.

Abstract: Systems, methods, and apparatuses for providing dynamic, prioritized spectrum utilization management. The system includes at least one monitoring sensor, at least one data analysis engine, at least one application, a semantic engine, a programmable rules and policy editor, a tip and cue server, and/or a control panel. The tip and cue server is operable utilize the environmental awareness from the data processed by the at least one data analysis engine in combination with additional information to create actionable data.

Abstract: Systems, methods, and apparatus are provided for automated identification of open space in a wireless communications spectrum, by identifying sources of signal emission in the spectrum by automatically detecting signals, analyzing signals, comparing signal data to historical and reference data, creating corresponding signal profiles, and determining information about the open space based upon the measured and analyzed data in near real-time.

Abstract: Embodiments disclosed herein generally relate to representative datasets for biomedical machine learning models. Particularly, aspects of the present disclosure are directed to identifying a representative distribution of characteristics for a disease, generating a dataset comprising a set of biomedical images, wherein the dataset has a distribution of the characteristics that corresponds to the representative distribution of the characteristics for the disease, processing the dataset using a trained machine learning model, and outputting a result of the processing, wherein the result corresponds to a prediction that a biomedical image of the dataset includes a depiction of a set of tumor cells or other structural and/or functional biological entities associated with the disease, the biomedical image is associated with a diagnosis of the disease, the biomedical image is associated with a classification of the disease, and/or the biomedical image is associated with a prognosis for the disease.

Abstract: Systems, methods, and apparatuses for providing optimization of network resources. The system is operable to monitor the electromagnetic environment, analyze the electromagnetic environment, and extract environmental awareness of the electromagnetic environment. The system extracts the environmental awareness of the electromagnetic environment by including customer goals. The system is operable to use the environmental awareness with the customer goals and/or user defined policies and rules to extract actionable information to help the customer optimize the network resources.

Abstract: An estimated target position is generated based on agent data received from an agent sensor system of a reinforcement learning (RL) agent and teammate data received from a plurality of teammate RL agents. An information metric reward is generated based on a confidence level associated with the estimated target position. The confidence level is based on the estimated target position and historical estimated target positions. A distance metric reward is generated based on an agent position and the estimated target position. A combined reward is generated based on the information metric reward and the distance metric reward. A movement action is generated for the RL agent based on the agent position, the estimated target position, and the combined reward in accordance with a multi-agent reinforcement learning (MARL) algorithm.

Abstract: A method can include monitoring a level of network traffic to a server. The method can include setting a clock rate of one or more cores of a processor of the server based on the monitored level of network traffic.

Abstract: An exercise system includes a platform and a frame. The platform includes a first vertically oriented motor and a second vertically oriented motor. The first vertically oriented motor is associated with a first cable and the second vertically oriented motor is associated with a second cable. The frame includes a first adjustable attachment point and a second adjustable attachment point. The first cable is coupled to the first adjustable attachment point and the second cable is coupled to the second adjustable attachment point. The platform is located at a bottom portion of the frame.

Abstract: Systems, methods, and apparatuses for providing dynamic, prioritized spectrum utilization management. The system includes at least one monitoring sensor, at least one data analysis engine, at least one application, a semantic engine, a programmable rules and policy editor, a tip and cue server, and/or a control panel. The tip and cue server is operable utilize the environmental awareness from the data processed by the at least one data analysis engine in combination with additional information to create actionable data.

Abstract: Disclosed herein are novel chromogenic conjugates, the conjugates comprising at least two detectable moieties.

Abstract: Systems and methods of sensor data fusion including sensor data capture, curation, linking, fusion, inference, and validation. The systems and methods described herein reduce computational demand and processing time by curating data and calculating conditional entropy. The system is operable to fuse data from a plurality of sensor types. A computer processor optionally stores fused sensor data that the system validates above a mathematical threshold.

Abstract: The rate limiter circuits in the packet processing chip of a NIC are a limited hardware resource that may limit the number of workloads that can be run on a server. Some such chips include an egress packet processing pipeline circuit and a second packet processing pipeline circuit that prepares work for the egress pipeline circuit. Some of the stages of the second pipeline circuit can be configured as a first limiter and a second limiter that implement aspects of different rate limiters such as IOPS limiters, bandwidth limiters, etc. Another pipeline stage can use the outputs of the different rate limiters to make a limiting decision that is written into one of the rate limiter circuits. The second pipeline circuit is thereby implementing virtualized rate limiters where one of the rate limiter circuits performs the rate limiting for the virtualized rate limiters.

Abstract: Disclosed herein is an ultrasound imaging system including an ultrasound probe and a blood vessel visualization device. The ultrasound probe includes an ultrasound generation device and is configured to detect one or more blood vessels. The blood vessel visualization device is configured to project a depiction of the blood vessel topography within a target area. The blood vessel visualization device can include one or more near-infrared/infrared emitters configured to generate infrared/near-infrared waves within the target area, one or more near-infrared/infrared sensors configured to detect the difference in reflective properties of tissue and blood vessels within the target area, and one or more visual light projectors configured to project a blood vessel visualization depiction of the blood vessel topography onto the target area.

Abstract: A DC/AC inverter and microinverter architectures using the DC/AC inverter are disclosed. The DC/AC inverter is based on a differential geometry control scheme to balance and optimize the flying capacitor voltages across the flying capacitors used in the inverter's power circuit. Based on changing inverter and overall system conditions, including capacitor voltages, grid voltages, grid current, and DC bus voltages, desired fields are generated. These fields are used to balance capacitor voltages such that capacitor voltage values converge, over time, to an optimal solution.

Abstract: Disclosed herein are optical-fiber stylet holders and methods thereof for holding optical-fiber stylets in position in catheters or the like while preventing breakage of optical fibers in the optical-fiber stylets and maintaining functionality of the optical-fiber stylets. The holding of optical-fiber stylets in position in catheters or the like can be important for maintaining distal tips of intravascularly delivered optical-fiber stylets in their target anatomical locations during procedures.

Abstract: A fault management system (FMS) receives events indicating an issue with a component in the system and determines, based on an inventory database, the component associated with the events. The FMS creates, based at least in part on the events, an error report that includes: (i) an error type identifying a type of error described in the error report, (ii) a timestamp indicating when the error report was created, and (iii) a universal unique identifier (UUID) to uniquely identify the error report. The FMS determines, based at least in part on the error report, a policy associated with the events and classifies the events, based at least in part on the policy, as either a threshold event or a discrete event. The FMS performs one or more actions to address the events.

Abstract: Systems and methods for pointing a high gain antenna or other directional instrument connected to a platform by a gimbal are provided. A control system as disclosed can include a flight computer having a processor for executing software and a motor control board having a controller for implementing at least portions of a control algorithm. The software executed by the processor generates pointing commands and implements a Kalman filter included in a feedback loop in the form of a linear Kalman filter disturbance estimator of the control algorithm implemented by the controller. The control algorithm can further implement a proportional control position loop and a proportional control rate loop. Each axis of the gimbal is provided with an instance of the control algorithm and the Kalman filter. Moreover, the processor can be operated at a rate that is less than a rate at which the controller is operated.

Abstract: A weight training machine includes a central console including a motor. It further includes an arm having a length attached on either side of the console by a joint that allows rotation of the arm in a substantially vertical plane. It further includes a cable routed from the motor through the arm to a distal end of the arm. The cable terminates at an attachment point. The arm includes an outer section and an inner section arranged to telescope in a manner that changes the length of the arm.

Abstract: Optical connection systems including electrical-and-optical connection systems and methods thereof are disclosed. An electrical-and-optical connection system can include an extension tube having a plug and a relay module having a receptacle. The plug can be formed of a metal piece around electrical wires, which, in turn, are around optical-fiber cores that extend along a length of the extension tube. The plug can be configured to pierce through at least a sterile barrier. The relay module can include electrical wires and optical-fiber cores within a housing of the relay module, as well as a receptacle disposed in the housing. The receptacle can be configured to simultaneously accept insertion of the plug therein and establish both electrical and optical connections between the plug and the receptacle from a sterile field to a non-sterile field set up by the sterile barrier. Shape-sensing systems including the optical connection systems are also disclosed.