Ultraspectral sounder data compression review

Abstract

Ultraspectral sounders provide an enormous amount of measurements to advance our knowledge of weather and climate applications. The use of robust data compression techniques will be beneficial for ultraspectral data transfer and archiving. This paper reviews the progress in lossless compression of ultraspectral sounder data. Various transform-based, prediction-based, and clustering-based compression methods are covered. Also studied is a preprocessing scheme for data reordering to improve compression gains. All the coding experiments are performed on the ultraspectral compression benchmark dataset collected from the NASA Atmospheric Infrared Sounder (AIRS) observations.

Establishment of an ANSYS-Based Constitutive Modeling for Age Forming of Aluminum Alloy

“…Because of there being no tertiary creep in ageing forming, this stage is not included in this work. Analyzing from creep constitutive theory and elastic-plastic theory [6], the present work choose time hardening model with creep stress law and creep time law to construct constitutive equation [7]. The typical power exponential equation takes the following form,…”