A new method is developed to decompose a physiological signal into a summation of transient and oscillatory components, referred to as mixed over-complete dictionary based sparse component decomposition algorithm (MOSCA).
Since the seminal work of Oaxaca and Blinder in the early 1970s, several decomposition methods, including those going beyond the mean, have been developed to decompose the difference in a distributional statistic between two groups, or its change over time.
So after analyzing the pavement profile signal characteristics and the changeability of pavement crack characteristics, a new method based on the sparse representation is developed to decompose pavement profile signal into a summation of the mainly pavement profile and cracks.
An innovative control technology combining photocatalytic degradation and ozone oxidation (UV/TiO2+O3) was developed to decompose VOCs in the cooking fume.
Several simple heuristics methods such as the minimum-degree heuristic method (Bodlaender and Koster, 2010; Robertson and Seymour, 1984) are developed to tree-decompose a general graph.
A new method is being developed to design district energy systems, by decomposing the multi-objective optimization problem into two sub-problems: a master optimization problem and a slave optimization problem.
EMD was originally developed to decompose one-dimensional data.
One-step solvothermal method was developed for the synthesis of hierarchically porous nanostructured CdS/TiO2 heterojunction materials, which exhibited enhanced visible-light-driven photocatalytic activity in decomposing both methyl orange (MO) and rhodamine B (RhB) in water.
In addition, this method is used to decompose the HVAC signal to identify different thermostat settings.
Furthermore, the method is able to decompose the covariate effects to shared and source-specific effects, unlike any existing methods.
