The amount of data in real-time, such as time series and streaming data, available today continues to grow. Being able analyze this the moment it arrives can bring an immense added value. However, also requires a lot computational effort new acceleration techniques. As possible solution problem, paper proposes hardware architecture for Typicality Eccentricity Data Analytic (TEDA) algorithm impl...

Estimating missing data values by using interpolation algorithms is a well-known technique. Kriging an optimized method based on regression against evaluated from the surrounding observation points, weighted according to spatially varying covariance between these points. It has been widely used for estimating geological of areas measurements in close proximity. In this work we use recover pixel...