Abstract: The present disclosure describes a computer-implemented method that includes: receiving data encoding a current geolocation of a mobile computing device, a classification status of one or more files on the mobile computing device being requested by a user of the mobile computing device, and a current network domain on which the mobile computing device is registered; and based on the current geolocation of the mobile computing device, the classification status of the one or more files on the mobile computing device, and the current network domain of the mobile computing device, determining an encryption status of the one or more files on the mobile computing device.

Abstract: Prior to performing a Unicode conversion of a productive system and during an uptime processing stage of the productive system, files in the productive system are mapped to a cluster file system. Prior to the Unicode conversion and during an uptime processing stage of the productive system, a clone system of the productive system is generated using the cluster file system. Prior to the Unicode conversion and during an uptime processing stage of the productive system, the clone system is tested. During a downtime processing stage of the productive system, the Unicode conversion is performed. The clone system is activated, including making the clone system the productive system.

Abstract: Methods of providing for filtering noise and/or restoring attenuated spectral components in acoustic signals, are provided. An exemplary embodiment of a method includes dynamically filtering each of a plurality of raw FFT data samples of a record to remove or attenuate background noise contained therein to thereby produce a corresponding plurality of cleaned FFT data samples. The sample-specific background noise is removed or attenuated by a record-specific dynamic filter to produce the corresponding cleaned FFT data samples. The method can also include restoring the attenuated high-frequency components of the cleaned data samples through application of a record-specific Restoring Processor at least partially defined by a portion of the cleaned data samples and a Gain Function to thereby produce cleaned and restored data samples, and applying an inverse transformation to convert the cleaned and restored data samples into cleaned and restored data samples in time domain data.