Abstract: A neural network including a set of input nodes may consume a respective stream of time-series data recorded during a flight of a flying aircraft, each stream of time-series data representing measurements of a respective flight parameter captured by a sensor at various time-steps of the flight. A training circuit set may train the neural network to predict a future measurement of the flight parameter. Training the neural network may include comparing a predictive value from the neural network to a measured value of a flight parameter and modifying structural components of the neural network to bring the predictive value closer to the measured value. A parameter acquisition circuit set may acquire time-series data of a flight parameter. A prediction circuit set may apply the time-series data to the trained neural network to predict the next measurement for the flight parameter in the time-series data.

Abstract: A neural network including a set of input nodes may consume a respective stream of time-series data recorded during a flight of a flying aircraft, each stream of time-series data representing measurements of a respective flight parameter captured by a sensor at various time-steps of the flight. A training circuit set may train the neural network to predict a future measurement of the flight parameter. Training the neural network may include comparing a predictive value from the neural network to a measured value of a flight parameter and modifying structural components of the neural network to bring the predictive value closer to the measured value. A parameter acquisition circuit set may acquire time-series data of a flight parameter. A prediction circuit set may apply the time-series data to the trained neural network to predict the next measurement for the flight parameter in the time-series data.

Abstract: A system and method of provided for automatically update a system's software. In one example, the software is updated without requiring user intervention. Further, a system is provided that is capable of performing a software update on a non-PC system, such as a networking device, uninterruptible power supply (UPS), or other system. In another example, a system and method is provided for updating multiple components of a system by a proxy system responsible for downloading and applying updates.

Abstract: A system and method of provided for automatically update a system's software. In one example, the software is updated without requiring user intervention. Further, a system is provided that is capable of performing a software update on a non-PC system, such as a networking device, uninterruptible power supply (UPS), or other system. In another example, a system and method is provided for updating multiple components of a system by a proxy system responsible for downloading and applying updates.

Abstract: A generic system adapted to receive control, configuration and status information from a plurality of wireless devices over a communication system. The generic system includes an input adapted to receive power from a primary power source. An output controller is coupled to the input and to a plurality of outputs. The generic system further includes a network interface adapted to receive the control, configuration and status information from the plurality of wireless devices over the communication system and for generating a plurality of signals. A processor is coupled to the network interface and to the output controller. The processor is adapted to receive and process the plurality of signals provided by the network interface for generating a plurality of control signals.