Abstract: Various technologies pertaining to automatic relative volatility and relative amplitude detection are described herein. A spectral density of a geospatial temporal dataset is computed, and one or more frequencies of the dataset are identified. A volatility period of interest is calculated based upon the frequencies, and volatility thresholds are computed based upon the volatility period of interest. One or more periods of potential interest are detected in the dataset based upon the geospatial temporal data and the volatility thresholds. An indication of the periods of interest, an occurrence of an event captured in the dataset, or a prediction of an occurrence of an event that is of potential interest to an analyst is output.

Abstract: This is directed to systems, processes, machines, and other means that cover furniture for protection. The invention includes a zippered pouch which can be stored on the furniture and contains two panels of material that can cover the furniture protecting it from dust, rain and more.