Abstract: Systems and methods for receiving a time-series that includes a historical or current observation and determining future points of the time-series utilizing a forecasting deep neural network (DNN) to analyze the time-series and determining an uncertainty of the future points utilizing an uncertainty DNN to analyze the time-series and future points. The output would include providing the future points of the time-series and the uncertainty data. The steps further include training the forecasting DNN with historical data and training the uncertainty DNN with the trained forecasting DNN utilizing a residual of an estimate from the forecasting DNN and actual data.

Abstract: Systems and methods are provided for utilizing polarization parameters obtained from an optical network to determine vibrations in optical fibers using coherent optics equipment and machine learning techniques. A method, according to one implementation, includes the step of obtaining a time-series dataset that includes measurements of polarization characteristics of light traversing an optical fiber of an optical network. The method also includes the step of detecting vibration characteristics of the optical fiber based on the time-series dataset. In some implementations, the time-series dataset may be a multi-variate dataset and the polarization characteristics may be related to transients in a State of Polarization (SOP). The SOP, for example, may be represented by an amplitude and a phase of an electric field vector and may be defined as having one of a linear polarization, elliptical polarization, and circular polarization.

Abstract: A pulse charging for a battery includes multi-stage voltage conversion. At first stage, an input voltage from a power supply is divided into a plurality of intermediate voltages. At second stage, one or more of the plurality of intermediate voltage are further down converted to generate one or more portions of a charging pulse to be applied to the battery. The down conversion of the input voltage to the output voltage is accompanied by increase in charging current that is applied to the battery. The higher charging current applied to the battery results in fast charging of the battery. Also, the described multi-stage voltage conversion circuitry has high efficiency which alleviates problem of heat dissipation associated with the voltage conversion for charging of the battery.

Abstract: Systems and methods for compressing network data are provided. According to one implementation, a method includes the step of collecting raw telemetry data from a network environment. The raw telemetry data is collected as time-series datasets. The method also includes the step of compressing the time-series datasets by deploying the time-series datasets as a Deep Neural Network (DNN) in the network environment itself. The time-series datasets are configured to be substantially reconstructed from the DNN using predictive functionality of the DNN.

Abstract: Systems and methods are provided for utilizing polarization parameters obtained from an optical network to determine vibrations in optical fibers using coherent optics equipment and machine learning techniques. A method, according to one implementation, includes the step of obtaining a time-series dataset that includes measurements of polarization characteristics of light traversing an optical fiber of an optical network. The method also includes the step of detecting vibration characteristics of the optical fiber based on the time-series dataset. In some implementations, the time-series dataset may be a multi-variate dataset and the polarization characteristics may be related to transients in a State of Polarization (SOP). The SOP, for example, may be represented by an amplitude and a phase of an electric field vector and may be defined as having one of a linear polarization, elliptical polarization, and circular polarization.

Abstract: A pulse charging for a battery includes multi-stage voltage conversion. At first stage, an input voltage from a power supply is divided into a plurality of intermediate voltages. At second stage, one or more of the plurality of intermediate voltage are further down converted to generate one or more portions of a charging pulse to be applied to the battery. The down conversion of the input voltage to the output voltage is accompanied by increase in charging current that is applied to the battery. The higher charging current applied to the battery results in fast charging of the battery. Also, the described multi-stage voltage conversion circuitry has high efficiency which alleviates problem of heat dissipation associated with the voltage conversion for charging of the battery.