Abstract: A system and method may be provided for real-time RF fingerprinting, that includes obtaining residual data from each transmission via residual data preprocessing, processing at least a portion of the residual data using a photonic hardware-compatible continuous-time recurrent neural network (CTRNN) model to correlate temporal information and generate informative features, classifying the residual data based on the informative features using a convolutional neural network (CNN) model, and outputting a prediction of which of the plurality of devices at least one of the plurality of adjacent data units was transmitted from. The CNN model may be configured to convolute the generated informative features using at least one convolution-1D layer, for each of which it may select a maximum value for every two consecutive sequential points output from the convolution-1D layer using a max-pooling layer, and flatten and fully connect the output from a last max-pooling layer using a fully-connected layer.

Abstract: Systems, methods, and instructions of computer-readable media may include obtaining, at a client machine, a user-selected configuration parameter for an orbit simulation; sending, from the client machine to a remote system, via a network connection, a first set of configuration parameters for the orbit simulation, wherein the first set of configuration parameters comprise the user-selected configuration parameter; receiving, at the client device from the remove device, via the network connection, a stream of orbital data comprising points along an orbit, wherein the points along the orbit are determined by the remote system based on the first set of configuration parameters; and presenting, at a display, a dynamic rendering of the orbit simulation, wherein the orbit simulation is based on the stream of orbital data.

Abstract: Systems, methods, and instructions of computer-readable media may include obtaining, at a client machine, a user-selected configuration parameter for an orbit simulation; sending, from the client machine to a remote system, via a network connection, a first set of configuration parameters for the orbit simulation, wherein the first set of configuration parameters comprise the user-selected configuration parameter; receiving, at the client device from the remove device, via the network connection, a stream of orbital data comprising points along an orbit, wherein the points along the orbit are determined by the remote system based on the first set of configuration parameters; and presenting, at a display, a dynamic rendering of the orbit simulation, wherein the orbit simulation is based on the stream of orbital data.

Abstract: The system is a scalable, flexible, and extensible platform for building, deploying, and managing distributed applications that interact with multiple blockchain technologies. The system implements well-defined and well-managed microservices to encapsulate functionality, isolate sensitive data, enable responsive and efficient scaling, and provide a framework for future improvements and support for future blockchain technologies. The system in one embodiment uses an event-driven architecture to construct fast, responsive systems, but still provide support for alternate modes of operation. The system exposes high-level abstractions of the foundational elements of distributed applications in a powerful, well-understood programming environment to simplify development of extensions, adapters, and applications.

Abstract: The system is a scalable, flexible, and extensible platform for building, deploying, and managing distributed applications that interact with multiple blockchain technologies. The system implements well-defined and well-managed microservices to encapsulate functionality, isolate sensitive data, enable responsive and efficient scaling, and provide a framework for future improvements and support for future blockchain technologies. The system in one embodiment uses an event-driven architecture to construct fast, responsive systems, but still provide support for alternate modes of operation. The system exposes high-level abstractions of the foundational elements of distributed applications in a powerful, well-understood programming environment to simplify development of extensions, adapters, and applications.

Abstract: The system is a scalable, flexible, and extensible platform for building, deploying, and managing distributed applications that interact with multiple blockchain technologies. The system implements well-defined and well-managed microservices to encapsulate functionality, isolate sensitive data, enable responsive and efficient scaling, and provide a framework for future improvements and support for future blockchain technologies. The system in one embodiment uses an event-driven architecture to construct fast, responsive systems, but still provide support for alternate modes of operation. The system exposes high-level abstractions of the foundational elements of distributed applications in a powerful, well-understood programming environment to simplify development of extensions, adapters, and applications.